From fe14c356859b00600dbc6656cffec627fbe83e5b Mon Sep 17 00:00:00 2001
From: Jason Liu <jason@jxnl.co>
Date: Mon, 11 Mar 2024 22:47:35 -0400
Subject: [PATCH] Deployed c6b28b7 with MkDocs version: 1.5.3

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 99 files changed, 98 insertions(+), 99 deletions(-)
 delete mode 100644 assets/stylesheets/main.7e359304.min.css
 delete mode 100644 assets/stylesheets/main.7e359304.min.css.map
 create mode 100644 assets/stylesheets/main.f2e4d321.min.css
 create mode 100644 assets/stylesheets/main.f2e4d321.min.css.map
 delete mode 100644 feed_json_created.json

diff --git a/404.html b/404.html
index 2e4c5e17a..f4decb42a 100644
--- a/404.html
+++ b/404.html
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<nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#instructor.patch class=md-nav__link> <span class=md-ellipsis> patch </span> </a> </li> <li class=md-nav__item> <a href=#instructor.patch.apatch class=md-nav__link> <span class=md-ellipsis> apatch </span> </a> </li> <li class=md-nav__item> <a href=#instructor.patch.patch class=md-nav__link> <span class=md-ellipsis> patch </span> </a> </li> <li class=md-nav__item> <a href=#instructor.dsl.validators class=md-nav__link> <span class=md-ellipsis> validators </span> </a> </li> <li class=md-nav__item> <a href=#instructor.dsl.validators.Validator class=md-nav__link> <span class=md-ellipsis> Validator </span> </a> </li> <li class=md-nav__item> <a href=#instructor.dsl.validators.llm_validator class=md-nav__link> <span class=md-ellipsis> llm_validator </span> </a> <nav class=md-nav aria-label=llm_validator> <ul class=md-nav__list> <li class=md-nav__item> <a href=#instructor.dsl.validators.llm_validator--usage class=md-nav__link> <span class=md-ellipsis> Usage </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#instructor.dsl.validators.openai_moderation class=md-nav__link> <span class=md-ellipsis> openai_moderation </span> </a> </li> <li class=md-nav__item> <a href=#instructor.dsl.iterable class=md-nav__link> <span class=md-ellipsis> iterable </span> </a> </li> <li class=md-nav__item> <a href=#instructor.dsl.iterable.IterableModel class=md-nav__link> <span class=md-ellipsis> IterableModel </span> </a> <nav class=md-nav aria-label=IterableModel> <ul class=md-nav__list> <li class=md-nav__item> <a href=#instructor.dsl.iterable.IterableModel--usage class=md-nav__link> <span class=md-ellipsis> Usage </span> </a> </li> <li class=md-nav__item> <a href=#instructor.dsl.iterable.IterableModel--result class=md-nav__link> <span class=md-ellipsis> Result </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#instructor.dsl.partial class=md-nav__link> <span class=md-ellipsis> partial </span> </a> </li> <li class=md-nav__item> <a href=#instructor.dsl.partial.Partial class=md-nav__link> <span class=md-ellipsis> Partial </span> </a> <nav class=md-nav aria-label=Partial> <ul class=md-nav__list> <li class=md-nav__item> <a href=#instructor.dsl.partial.Partial.__class_getitem__ class=md-nav__link> <span class=md-ellipsis> __class_getitem__ </span> </a> </li> <li class=md-nav__item> <a href=#instructor.dsl.partial.Partial.__init_subclass__ class=md-nav__link> <span class=md-ellipsis> __init_subclass__ </span> </a> </li> <li class=md-nav__item> <a href=#instructor.dsl.partial.Partial.__new__ class=md-nav__link> <span class=md-ellipsis> __new__ </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#instructor.dsl.parallel class=md-nav__link> <span class=md-ellipsis> parallel </span> </a> </li> <li class=md-nav__item> <a href=#instructor.dsl.maybe class=md-nav__link> <span class=md-ellipsis> maybe </span> </a> </li> <li class=md-nav__item> <a href=#instructor.dsl.maybe.MaybeBase class=md-nav__link> <span class=md-ellipsis> MaybeBase </span> </a> </li> <li class=md-nav__item> <a href=#instructor.dsl.maybe.Maybe class=md-nav__link> <span class=md-ellipsis> Maybe </span> </a> <nav class=md-nav aria-label=Maybe> <ul class=md-nav__list> <li class=md-nav__item> <a href=#instructor.dsl.maybe.Maybe--usage class=md-nav__link> <span class=md-ellipsis> Usage </span> </a> </li> <li class=md-nav__item> <a href=#instructor.dsl.maybe.Maybe--result class=md-nav__link> <span class=md-ellipsis> Result </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#instructor.function_calls class=md-nav__link> <span class=md-ellipsis> function_calls </span> </a> </li> <li class=md-nav__item> <a href=#instructor.function_calls.OpenAISchema class=md-nav__link> <span class=md-ellipsis> OpenAISchema </span> </a> <nav class=md-nav aria-label=OpenAISchema> <ul class=md-nav__list> <li class=md-nav__item> <a href=#instructor.function_calls.OpenAISchema.openai_schema class=md-nav__link> <span class=md-ellipsis> openai_schema </span> </a> </li> <li class=md-nav__item> <a href=#instructor.function_calls.OpenAISchema.from_response class=md-nav__link> <span class=md-ellipsis> from_response </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/api.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/api.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=api-reference>API Reference<a class=headerlink href=#api-reference title="Permanent link">&para;</a></h1> <div class="doc doc-object doc-module"> <a id=instructor.patch></a> <div class="doc doc-contents first"> <div class="doc doc-children"> <div class="doc doc-object doc-function"> <h2 id=instructor.patch.apatch class="doc doc-heading"> <code class="highlight language-python"><span class=n>apatch</span><span class=p>(</span><span class=n>client</span><span class=p>,</span> <span class=n>mode</span><span class=o>=</span><span class=n>Mode</span><span class=o>.</span><span class=n>TOOLS</span><span class=p>)</span></code> <a href=#instructor.patch.apatch class=headerlink title="Permanent link">&para;</a></h2> <div class="doc doc-contents "> <p>No longer necessary, use <code>patch</code> instead.</p> <p>Patch the <code>client.chat.completions.create</code> method</p> <p>Enables the following features:</p> <ul> <li><code>response_model</code> parameter to parse the response from OpenAI's API</li> <li><code>max_retries</code> parameter to retry the function if the response is not valid</li> <li><code>validation_context</code> parameter to validate the response using the pydantic model</li> <li><code>strict</code> parameter to use strict json parsing</li> </ul> <details class=quote> <summary>Source code in <code>instructor/patch.py</code></summary> <div class=highlight><table class=highlighttable><tr><td class=linenos><div class=linenodiv><pre><span></span><span class=normal><a href=#__codelineno-0-146>146</a></span>
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new file mode 100644
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class=md-nav__item> <a href=#the-openai-function-calling-game-changer class=md-nav__link> <span class=md-ellipsis> The OpenAI Function Calling Game-Changer </span> </a> </li> <li class=md-nav__item> <a href=#why-pydantic class=md-nav__link> <span class=md-ellipsis> Why Pydantic? </span> </a> </li> <li class=md-nav__item> <a href=#simplifying-validation-flow-with-pydantic class=md-nav__link> <span class=md-ellipsis> Simplifying Validation Flow with Pydantic </span> </a> </li> <li class=md-nav__item> <a href=#the-modular-approach class=md-nav__link> <span class=md-ellipsis> The Modular Approach </span> </a> <nav class=md-nav aria-label="The Modular Approach"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#composition-of-schemas class=md-nav__link> <span class=md-ellipsis> Composition of Schemas </span> </a> </li> <li class=md-nav__item> <a href=#defining-relationships class=md-nav__link> <span class=md-ellipsis> Defining Relationships </span> </a> </li> <li class=md-nav__item> <a href=#using-enums class=md-nav__link> <span class=md-ellipsis> Using Enums </span> </a> </li> <li class=md-nav__item> <a href=#flexible-schemas class=md-nav__link> <span class=md-ellipsis> Flexible Schemas </span> </a> </li> <li class=md-nav__item> <a href=#chain-of-thought class=md-nav__link> <span class=md-ellipsis> Chain of Thought </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#language-models-as-microservices class=md-nav__link> <span class=md-ellipsis> Language Models as Microservices </span> </a> <nav class=md-nav aria-label="Language Models as Microservices"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#fastapi-stub class=md-nav__link> <span class=md-ellipsis> FastAPI Stub </span> </a> </li> <li class=md-nav__item> <a href=#using-instructor-as-a-function class=md-nav__link> <span class=md-ellipsis> Using Instructor as a Function </span> </a> </li> <li class=md-nav__item> <a href=#response-modeling class=md-nav__link> <span class=md-ellipsis> Response Modeling </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#conclusion class=md-nav__link> <span class=md-ellipsis> Conclusion </span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-content md-content--post" data-md-component=content> <div class="md-sidebar md-sidebar--post" data-md-component=sidebar data-md-type=navigation> <div class=md-sidebar__scrollwrap> <div class="md-sidebar__inner md-post"> <nav class="md-nav md-nav--primary"> <div class=md-post__back> <div class="md-nav__title md-nav__container"> <a href=../../../../ class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> <span class=md-ellipsis> Back to index </span> </a> </div> </div> <div class="md-post__authors md-typeset"> <div class="md-profile md-post__profile"> <span class="md-author md-author--long"> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> <span class=md-profile__description> <strong> <a href="https://twitter.com/intent/follow?screen_name=jxnlco">Jason Liu</a> </strong> <br> Creator </span> </div> </div> <ul class="md-post__meta md-nav__list"> <li class="md-nav__item md-nav__item--section"> <div class=md-post__title> <span class=md-ellipsis> Metadata </span> </div> <nav class=md-nav> <ul class=md-nav__list> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M19 19H5V8h14m-3-7v2H8V1H6v2H5c-1.11 0-2 .89-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2h-1V1m-1 11h-5v5h5v-5Z"/></svg> <time datetime="2023-09-11 00:00:00" class=md-ellipsis>2023/09/11</time> </div> </li> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 20a8 8 0 0 0 8-8 8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8m0-18a10 10 0 0 1 10 10 10 10 0 0 1-10 10C6.47 22 2 17.5 2 12A10 10 0 0 1 12 2m.5 5v5.25l4.5 2.67-.75 1.23L11 13V7h1.5Z"/></svg> <span class=md-ellipsis> 2 min read </span> </div> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/blog/posts/introduction.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/blog/posts/introduction.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=generating-structured-output-json-from-llms>Generating Structured Output / JSON from LLMs<a class=headerlink href=#generating-structured-output-json-from-llms title="Permanent link">&para;</a></h1> <p>Language models have seen significant growth. Using them effectively often requires complex frameworks. This post discusses how Instructor simplifies this process using Pydantic.</p> <!-- more --> <h2 id=the-problem-with-existing-llm-frameworks>The Problem with Existing LLM Frameworks<a class=headerlink href=#the-problem-with-existing-llm-frameworks title="Permanent link">&para;</a></h2> <p>Current frameworks for Language Learning Models (LLMs) have complex setups. Developers find it hard to control interactions with language models. Some frameworks require complex JSON Schema setups.</p> <h2 id=the-openai-function-calling-game-changer>The OpenAI Function Calling Game-Changer<a class=headerlink href=#the-openai-function-calling-game-changer title="Permanent link">&para;</a></h2> <p>OpenAI's Function Calling feature provides a constrained interaction model. However, it has its own complexities, mostly around JSON Schema.</p> <h2 id=why-pydantic>Why Pydantic?<a class=headerlink href=#why-pydantic title="Permanent link">&para;</a></h2> <p>Instructor uses Pydantic to simplify the interaction between the programmer and the language model.</p> <ul> <li><strong>Widespread Adoption</strong>: Pydantic is a popular tool among Python developers.</li> <li><strong>Simplicity</strong>: Pydantic allows model definition in Python.</li> <li><strong>Framework Compatibility</strong>: Many Python frameworks already use Pydantic.</li> </ul> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>pydantic</span>
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class=md-nav__list> <li class=md-nav__item> <a href=#why-is-this-a-problem class=md-nav__link> <span class=md-ellipsis> Why is this a problem? </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#improving-the-rag-model-with-query-understanding class=md-nav__link> <span class=md-ellipsis> Improving the RAG Model with Query Understanding </span> </a> </li> <li class=md-nav__item> <a href=#whats-instructor class=md-nav__link> <span class=md-ellipsis> Whats instructor? </span> </a> </li> <li class=md-nav__item> <a href=#case-study-1-metaphor-systems class=md-nav__link> <span class=md-ellipsis> Case Study 1: Metaphor Systems </span> </a> </li> <li class=md-nav__item> <a href=#case-study-2-personal-assistant class=md-nav__link> <span class=md-ellipsis> Case Study 2: Personal Assistant </span> </a> </li> <li class=md-nav__item> <a href=#conclusion class=md-nav__link> <span class=md-ellipsis> Conclusion </span> </a> </li> <li class=md-nav__item> <a href=#whats-next 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href="https://twitter.com/intent/follow?screen_name=jxnlco">Jason Liu</a> </strong> <br> Creator </span> </div> </div> <ul class="md-post__meta md-nav__list"> <li class="md-nav__item md-nav__item--section"> <div class=md-post__title> <span class=md-ellipsis> Metadata </span> </div> <nav class=md-nav> <ul class=md-nav__list> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M19 19H5V8h14m-3-7v2H8V1H6v2H5c-1.11 0-2 .89-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2h-1V1m-1 11h-5v5h5v-5Z"/></svg> <time datetime="2023-09-17 00:00:00" class=md-ellipsis>2023/09/17</time> </div> </li> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 20a8 8 0 0 0 8-8 8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8m0-18a10 10 0 0 1 10 10 10 10 0 0 1-10 10C6.47 22 2 17.5 2 12A10 10 0 0 1 12 2m.5 5v5.25l4.5 2.67-.75 1.23L11 13V7h1.5Z"/></svg> <span class=md-ellipsis> 7 min read </span> </div> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/blog/posts/rag-and-beyond.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/blog/posts/rag-and-beyond.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=rag-is-more-than-just-embedding-search>RAG is more than just embedding search<a class=headerlink href=#rag-is-more-than-just-embedding-search title="Permanent link">&para;</a></h1> <p>With the advent of large language models (LLM), retrieval augmented generation (RAG) has become a hot topic. However throughout the past year of <a href=https://jxnl.co>helping startups</a> integrate LLMs into their stack I've noticed that the pattern of taking user queries, embedding them, and directly searching a vector store is effectively demoware.</p> <div class="admonition note"> <p class=admonition-title>What is RAG?</p> <p>Retrieval augmented generation (RAG) is a technique that uses an LLM to generate responses, but uses a search backend to augment the generation. In the past year using text embeddings with a vector databases has been the most popular approach I've seen being socialized.</p> </div> <figure> <p><img alt=RAG src=../../../../img/dumb_rag.png> </p> <figcaption>Simple RAG that embedded the user query and makes a search.</figcaption> </figure> <p>So let's kick things off by examining what I like to call the 'Dumb' RAG Model—a basic setup that's more common than you'd think.</p> <!-- more --> <h2 id=the-dumb-rag-model>The 'Dumb' RAG Model<a class=headerlink href=#the-dumb-rag-model title="Permanent link">&para;</a></h2> <p>When you ask a question like, "what is the capital of France?" The RAG 'dumb' model embeds the query and searches in some unopinionated search endpoint. Limited to a single method API like <code>search(query: str) -&gt; List[str]</code>. This is fine for simple queries, since you'd expect words like 'paris is the capital of france' to be in the top results of say, your wikipedia embeddings.</p> <h3 id=why-is-this-a-problem>Why is this a problem?<a class=headerlink href=#why-is-this-a-problem title="Permanent link">&para;</a></h3> <ul> <li> <p><strong>Query-Document Mismatch</strong>: This model assumes that query embedding and the content embedding are similar in the embedding space, which is not always true based on the text you're trying to search over. Only using queries that are semantically similar to the content is a huge limitation!</p> </li> <li> <p><strong>Monolithic Search Backend</strong>: Assumes a single search backend, which is not always the case. You may have multiple search backends, each with their own API, and you want to route the query to vector stores, search clients, sql databases, and more.</p> </li> <li> <p><strong>Limitation of text search</strong>: Restricts complex queries to a single string (<code>{query: str}</code>), sacrificing expressiveness, in using keywords, filters, and other advanced features. For example, asking <code>what problems did we fix last week</code> cannot be answered by a simple text search since documents that contain <code>problem, last week</code> are going to be present at every week.</p> </li> <li> <p><strong>Limited ability to plan</strong>: Assumes that the query is the only input to the search backend, but you may want to use other information to improve the search, like the user's location, or the time of day using the context to rewrite the query. For example, if you present the language model of more context it is able to plan a suite of queries to execute to return the best results.</p> </li> </ul> <p>Now let's dive into how we can make it smarter with query understanding. This is where things get interesting.</p> <h2 id=improving-the-rag-model-with-query-understanding>Improving the RAG Model with Query Understanding<a class=headerlink href=#improving-the-rag-model-with-query-understanding title="Permanent link">&para;</a></h2> <div class="admonition note"> <p class=admonition-title>Shoutouts</p> </div> <p>Much of this work has been inspired by / done in collab with a few of my clients at <a href=https://new.computer>new.computer</a>, <a href=https://metaphor.systems>Metaphor Systems</a>, and <a href=https://narohq.com>Naro</a>, go check them out!</p> <p>Ultimately what you want to deploy is a <a href=https://en.wikipedia.org/wiki/Query_understanding>system that understands</a> how to take the query and rewrite it to improve precision and recall.</p> <figure> <p><img alt=RAG src=../../../../img/query_understanding.png> </p> <figcaption>Query Understanding system routes to multiple search backends.</figcaption> </figure> <p>Not convinced? Let's move from theory to practice with a real-world example. First up, Metaphor Systems.</p> <h2 id=whats-instructor>Whats instructor?<a class=headerlink href=#whats-instructor title="Permanent link">&para;</a></h2> <p>Instructor uses Pydantic to simplify the interaction between the programmer and language models via the function calling API.</p> <ul> <li><strong>Widespread Adoption</strong>: Pydantic is a popular tool among Python developers.</li> <li><strong>Simplicity</strong>: Pydantic allows model definition in Python.</li> <li><strong>Framework Compatibility</strong>: Many Python frameworks already use Pydantic.</li> </ul> <h2 id=case-study-1-metaphor-systems>Case Study 1: Metaphor Systems<a class=headerlink href=#case-study-1-metaphor-systems title="Permanent link">&para;</a></h2> <p>Take <a href=https://metaphor.systems>Metaphor Systems</a>, which turns natural language queries into their custom search-optimized query. If you take a look web UI you'll notice that they have an auto-prompt option, which uses function calls to furthur optimize your query using a language model, and turns it into a fully specified metaphor systems query.</p> <figure> <p><img alt="Metaphor Systems" src=../../../../img/meta.png></p> <figcaption>Metaphor Systems UI</figcaption> </figure> <p>If we peek under the hood, we can see that the query is actually a complex object, with a date range, and a list of domains to search in. It's actually more complex than this but this is a good start. We can model this structured output in Pydantic using the instructor library</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=k>class</span> <span class=nc>DateRange</span><span class=p>(</span><span class=n>BaseModel</span><span class=p>):</span>
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href=../../../../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../../../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#introduction class=md-nav__link> <span class=md-ellipsis> Introduction </span> </a> </li> <li class=md-nav__item> <a href=#why-use-instructor class=md-nav__link> <span class=md-ellipsis> Why use Instructor? </span> </a> </li> <li class=md-nav__item> <a href=#quick-start-how-to-use-instructors-distillation-feature class=md-nav__link> <span class=md-ellipsis> Quick Start: How to Use Instructor's Distillation Feature </span> </a> </li> <li class=md-nav__item> <a href=#the-intricacies-of-fine-tuning-language-models class=md-nav__link> <span class=md-ellipsis> The Intricacies of Fine-tuning Language Models </span> </a> </li> <li class=md-nav__item> <a href=#why-instructor-and-distillation-are-game-changers class=md-nav__link> <span class=md-ellipsis> Why Instructor and Distillation are Game Changers </span> </a> </li> <li class=md-nav__item> <a href=#role-of-instructor-in-simplifying-fine-tuning class=md-nav__link> <span class=md-ellipsis> Role of Instructor in Simplifying Fine-Tuning </span> </a> </li> <li class=md-nav__item> <a href=#logging-output-and-running-a-finetune class=md-nav__link> <span class=md-ellipsis> Logging Output and Running a Finetune </span> </a> </li> <li class=md-nav__item> <a href=#next-steps-and-future-plans class=md-nav__link> <span class=md-ellipsis> Next Steps and Future Plans </span> </a> </li> <li class=md-nav__item> <a href=#conclusion class=md-nav__link> <span class=md-ellipsis> Conclusion </span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-content md-content--post" data-md-component=content> <div class="md-sidebar md-sidebar--post" data-md-component=sidebar data-md-type=navigation> <div class=md-sidebar__scrollwrap> <div class="md-sidebar__inner md-post"> <nav class="md-nav md-nav--primary"> <div class=md-post__back> <div class="md-nav__title md-nav__container"> <a href=../../../../ class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> <span class=md-ellipsis> Back to index </span> </a> </div> </div> <div class="md-post__authors md-typeset"> <div class="md-profile md-post__profile"> <span class="md-author md-author--long"> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> <span class=md-profile__description> <strong> <a href="https://twitter.com/intent/follow?screen_name=jxnlco">Jason Liu</a> </strong> <br> Creator </span> </div> </div> <ul class="md-post__meta md-nav__list"> <li class="md-nav__item md-nav__item--section"> <div class=md-post__title> <span class=md-ellipsis> Metadata </span> </div> <nav class=md-nav> <ul class=md-nav__list> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M19 19H5V8h14m-3-7v2H8V1H6v2H5c-1.11 0-2 .89-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2h-1V1m-1 11h-5v5h5v-5Z"/></svg> <time datetime="2023-10-17 00:00:00" class=md-ellipsis>2023/10/17</time> </div> </li> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 20a8 8 0 0 0 8-8 8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8m0-18a10 10 0 0 1 10 10 10 10 0 0 1-10 10C6.47 22 2 17.5 2 12A10 10 0 0 1 12 2m.5 5v5.25l4.5 2.67-.75 1.23L11 13V7h1.5Z"/></svg> <span class=md-ellipsis> 4 min read </span> </div> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/blog/posts/distilation-part1.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/blog/posts/distilation-part1.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=enhancing-python-functions-with-instructor-a-guide-to-fine-tuning-and-distillation>Enhancing Python Functions with Instructor: A Guide to Fine-Tuning and Distillation<a class=headerlink href=#enhancing-python-functions-with-instructor-a-guide-to-fine-tuning-and-distillation title="Permanent link">&para;</a></h1> <h2 id=introduction>Introduction<a class=headerlink href=#introduction title="Permanent link">&para;</a></h2> <p>Get ready to dive deep into the world of fine-tuning task specific language models with Python functions. We'll explore how the <code>instructor.instructions</code> streamlines this process, making the task you want to distil more efficient and powerful while preserving its original functionality and backwards compatibility.</p> <p>If you want to see the full example checkout <a href=https://github.com/jxnl/instructor/tree/main/examples/distilations>examples/distillation</a></p> <!-- more --> <h2 id=why-use-instructor>Why use Instructor?<a class=headerlink href=#why-use-instructor title="Permanent link">&para;</a></h2> <p>Imagine you're developing a backend service that uses a mix old and new school ML practises, it may involve pipelines with multiple function calls, validations, and data processing. Sounds cumbersome, right? That's where <code>Instructor</code> comes in. It simplifies complex procedures, making them more efficient and easier to manage by adding a decorator to your function that will automatically generate a dataset for fine-tuning and help you swap out the function implementation.</p> <h2 id=quick-start-how-to-use-instructors-distillation-feature>Quick Start: How to Use Instructor's Distillation Feature<a class=headerlink href=#quick-start-how-to-use-instructors-distillation-feature title="Permanent link">&para;</a></h2> <p>Before we dig into the nitty-gritty, let's look at how easy it is to use Instructor's distillation feature to use function calling finetuning to export the data to a JSONL file.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>logging</span>
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href=#software-10-introduction-to-validations-in-pydantic class=md-nav__link> <span class=md-ellipsis> Software 1.0: Introduction to Validations in Pydantic </span> </a> <nav class=md-nav aria-label="Software 1.0: Introduction to Validations in Pydantic"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#using-field_validator-decorator class=md-nav__link> <span class=md-ellipsis> Using field_validator decorator </span> </a> </li> <li class=md-nav__item> <a href=#using-annotated class=md-nav__link> <span class=md-ellipsis> Using Annotated </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#software-30-validation-for-llms-or-powered-by-llms class=md-nav__link> <span class=md-ellipsis> Software 3.0: Validation for LLMs or powered by LLMs </span> </a> <nav class=md-nav aria-label="Software 3.0: Validation for LLMs or powered by LLMs"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#creating-your-own-field-level-llm_validator class=md-nav__link> <span class=md-ellipsis> Creating Your Own Field Level llm_validator </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#writing-more-complex-validations class=md-nav__link> <span class=md-ellipsis> Writing more complex validations </span> </a> <nav class=md-nav aria-label="Writing more complex validations"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#validating-chain-of-thought class=md-nav__link> <span class=md-ellipsis> Validating Chain of Thought </span> </a> </li> <li class=md-nav__item> <a href=#validating-citations-from-original-text class=md-nav__link> <span class=md-ellipsis> Validating Citations From Original Text </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#putting-it-all-together-with-client-instructorpatchopenai class=md-nav__link> <span class=md-ellipsis> Putting it all together with client = instructor.patch(OpenAI()) </span> </a> </li> <li class=md-nav__item> <a href=#error-handling-and-re-asking class=md-nav__link> <span class=md-ellipsis> Error Handling and Re-Asking </span> </a> <nav class=md-nav aria-label="Error Handling and Re-Asking"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#define-the-response-model-with-validators class=md-nav__link> <span class=md-ellipsis> Define the Response Model with Validators </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#conclusion class=md-nav__link> <span class=md-ellipsis> Conclusion </span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-content md-content--post" data-md-component=content> <div class="md-sidebar md-sidebar--post" data-md-component=sidebar data-md-type=navigation> <div class=md-sidebar__scrollwrap> <div class="md-sidebar__inner md-post"> <nav class="md-nav md-nav--primary"> <div class=md-post__back> <div class="md-nav__title md-nav__container"> <a href=../../../../ class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> <span class=md-ellipsis> Back to index </span> </a> </div> </div> <div class="md-post__authors md-typeset"> <div class="md-profile md-post__profile"> <span class="md-author md-author--long"> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> <span class=md-profile__description> <strong> <a href="https://twitter.com/intent/follow?screen_name=jxnlco">Jason Liu</a> </strong> <br> Creator </span> </div> <div class="md-profile md-post__profile"> <span class="md-author md-author--long"> <img src=https://pbs.twimg.com/profile_images/1524186822389026816/sWRHRIkY_400x400.jpg alt="Ivan Leo"> </span> <span class=md-profile__description> <strong> <a href="https://twitter.com/intent/follow?screen_name=ivanleomk">Ivan Leo</a> </strong> <br> Contributor </span> </div> </div> <ul class="md-post__meta md-nav__list"> <li class="md-nav__item md-nav__item--section"> <div class=md-post__title> <span class=md-ellipsis> Metadata </span> </div> <nav class=md-nav> <ul class=md-nav__list> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M19 19H5V8h14m-3-7v2H8V1H6v2H5c-1.11 0-2 .89-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2h-1V1m-1 11h-5v5h5v-5Z"/></svg> <time datetime="2023-10-23 00:00:00" class=md-ellipsis>2023/10/23</time> </div> </li> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 20a8 8 0 0 0 8-8 8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8m0-18a10 10 0 0 1 10 10 10 10 0 0 1-10 10C6.47 22 2 17.5 2 12A10 10 0 0 1 12 2m.5 5v5.25l4.5 2.67-.75 1.23L11 13V7h1.5Z"/></svg> <span class=md-ellipsis> 11 min read </span> </div> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/blog/posts/validation-part1.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/blog/posts/validation-part1.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=good-llm-validation-is-just-good-validation>Good LLM Validation is Just Good Validation<a class=headerlink href=#good-llm-validation-is-just-good-validation title="Permanent link">&para;</a></h1> <blockquote> <p>What if your validation logic could learn and adapt like a human, but operate at the speed of software? This is the future of validation and it's already here.</p> </blockquote> <p>Validation is the backbone of reliable software. But traditional methods are static, rule-based, and can't adapt to new challenges. This post looks at how to bring dynamic, machine learning-driven validation into your software stack using Python libraries like <code>Pydantic</code> and <code>Instructor</code>. We validate these outputs using a validation function which conforms to the structure seen below.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=k>def</span> <span class=nf>validation_function</span><span class=p>(</span><span class=n>value</span><span class=p>):</span>
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17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/blog/posts/aisummit-2023.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=ai-engineer-keynote-pydantic-is-all-you-need>AI Engineer Keynote: Pydantic is all you need<a class=headerlink href=#ai-engineer-keynote-pydantic-is-all-you-need title="Permanent link">&para;</a></h1> <p><a href="https://www.youtube.com/watch?v=yj-wSRJwrrc"><img alt="Pydantic is all you need" src=https://img.youtube.com/vi/yj-wSRJwrrc/0.jpg></a></p> <p><a href="https://www.youtube.com/watch?v=yj-wSRJwrrc">Click here to watch the full talk</a></p> <!-- more --> <p>Last month, I ventured back onto the speaking circuit at the inaugural <a href=https://www.ai.engineer/summit>AI Engineer Summit</a>, sharing insights on leveraging <a href=https://docs.pydantic.dev/latest/ >Pydantic</a> for effective prompt engineering. I dove deep into what is covered in our documentation and standard blog posts,</p> <p>I'd genuinely appreciate any feedback on the talk – every bit helps in refining the art. So, take a moment to check out the <a href="https://youtu.be/yj-wSRJwrrc?si=vGMIqtTapbIN8SLz">full talk here</a>, and let's continue pushing the boundaries of what's possible.</p> <form class=md-feedback name=feedback hidden> <fieldset> <legend class=md-feedback__title> Was this page helpful? </legend> <div class=md-feedback__inner> <div class=md-feedback__list> <button class="md-feedback__icon md-icon" type=submit title="This page was helpful" data-md-value=1> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 12a8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8 8 8 0 0 0 8-8m2 0a10 10 0 0 1-10 10A10 10 0 0 1 2 12 10 10 0 0 1 12 2a10 10 0 0 1 10 10M10 9.5c0 .8-.7 1.5-1.5 1.5S7 10.3 7 9.5 7.7 8 8.5 8s1.5.7 1.5 1.5m7 0c0 .8-.7 1.5-1.5 1.5S14 10.3 14 9.5 14.7 8 15.5 8s1.5.7 1.5 1.5m-5 7.73c-1.75 0-3.29-.73-4.19-1.81L9.23 14c.45.72 1.52 1.23 2.77 1.23s2.32-.51 2.77-1.23l1.42 1.42c-.9 1.08-2.44 1.81-4.19 1.81Z"/></svg> </button> <button class="md-feedback__icon md-icon" type=submit title="This page could be improved" data-md-value=0> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 12a8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8 8 8 0 0 0 8-8m2 0a10 10 0 0 1-10 10A10 10 0 0 1 2 12 10 10 0 0 1 12 2a10 10 0 0 1 10 10m-6.5-4c.8 0 1.5.7 1.5 1.5s-.7 1.5-1.5 1.5-1.5-.7-1.5-1.5.7-1.5 1.5-1.5M10 9.5c0 .8-.7 1.5-1.5 1.5S7 10.3 7 9.5 7.7 8 8.5 8s1.5.7 1.5 1.5m2 4.5c1.75 0 3.29.72 4.19 1.81l-1.42 1.42C14.32 16.5 13.25 16 12 16s-2.32.5-2.77 1.23l-1.42-1.42C8.71 14.72 10.25 14 12 14Z"/></svg> </button> </div> <div class=md-feedback__note> <div data-md-value=1 hidden> Thanks for your feedback! </div> <div data-md-value=0 hidden> Thanks for your feedback! 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Density"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#original-prompt class=md-nav__link> <span class=md-ellipsis> Original Prompt </span> </a> </li> <li class=md-nav__item> <a href=#data-modelling class=md-nav__link> <span class=md-ellipsis> Data Modelling </span> </a> <nav class=md-nav aria-label="Data Modelling"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#initial-summary class=md-nav__link> <span class=md-ellipsis> Initial Summary </span> </a> </li> <li class=md-nav__item> <a href=#rewritten-summary class=md-nav__link> <span class=md-ellipsis> Rewritten Summary </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#putting-it-all-together class=md-nav__link> <span class=md-ellipsis> Putting it all Together </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#part-2-fine-tuning class=md-nav__link> <span class=md-ellipsis> Part 2) Fine-Tuning </span> </a> <nav class=md-nav aria-label="Part 2) Fine-Tuning"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#creating-a-training-set class=md-nav__link> <span class=md-ellipsis> Creating a Training Set </span> </a> </li> <li class=md-nav__item> <a href=#creating-fine-tuning-jobs class=md-nav__link> <span class=md-ellipsis> Creating Fine-Tuning Jobs </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#results-and-benchmarks class=md-nav__link> <span class=md-ellipsis> Results and Benchmarks </span> </a> </li> <li class=md-nav__item> <a href=#conclusions class=md-nav__link> <span class=md-ellipsis> Conclusions </span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-content md-content--post" data-md-component=content> <div class="md-sidebar md-sidebar--post" data-md-component=sidebar data-md-type=navigation> <div class=md-sidebar__scrollwrap> <div class="md-sidebar__inner md-post"> <nav class="md-nav md-nav--primary"> <div class=md-post__back> <div class="md-nav__title md-nav__container"> <a href=../../../../ class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> <span class=md-ellipsis> Back to index </span> </a> </div> </div> <div class="md-post__authors md-typeset"> <div class="md-profile md-post__profile"> <span class="md-author md-author--long"> <img src=https://pbs.twimg.com/profile_images/1524186822389026816/sWRHRIkY_400x400.jpg alt="Ivan Leo"> </span> <span class=md-profile__description> <strong> <a href="https://twitter.com/intent/follow?screen_name=ivanleomk">Ivan Leo</a> </strong> <br> Contributor </span> </div> <div class="md-profile md-post__profile"> <span class="md-author md-author--long"> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> <span class=md-profile__description> <strong> <a href="https://twitter.com/intent/follow?screen_name=jxnlco">Jason Liu</a> </strong> <br> Creator </span> </div> </div> <ul class="md-post__meta md-nav__list"> <li class="md-nav__item md-nav__item--section"> <div class=md-post__title> <span class=md-ellipsis> Metadata </span> </div> <nav class=md-nav> <ul class=md-nav__list> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M19 19H5V8h14m-3-7v2H8V1H6v2H5c-1.11 0-2 .89-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2h-1V1m-1 11h-5v5h5v-5Z"/></svg> <time datetime="2023-11-05 00:00:00" class=md-ellipsis>2023/11/05</time> </div> </li> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 20a8 8 0 0 0 8-8 8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8m0-18a10 10 0 0 1 10 10 10 10 0 0 1-10 10C6.47 22 2 17.5 2 12A10 10 0 0 1 12 2m.5 5v5.25l4.5 2.67-.75 1.23L11 13V7h1.5Z"/></svg> <span class=md-ellipsis> 15 min read </span> </div> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/blog/posts/chain-of-density.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/blog/posts/chain-of-density.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=smarter-summaries-w-finetuning-gpt-35-and-chain-of-density>Smarter Summaries w/ Finetuning GPT-3.5 and Chain of Density<a class=headerlink href=#smarter-summaries-w-finetuning-gpt-35-and-chain-of-density title="Permanent link">&para;</a></h1> <blockquote> <p>Discover how to distil an iterative method like Chain Of Density into a single finetuned model using Instructor</p> </blockquote> <p>In this article, we'll guide you through implementing the original Chain of Density method using Instructor, then show how to distile a GPT 3.5 model to match GPT-4's iterative summarization capabilities. Using these methods were able to decrease latency by 20x, reduce costs by 50x and maintain entity density.</p> <p>By the end you'll end up with a GPT 3.5 model, (fine-tuned using Instructor's great tooling), capable of producing summaries that rival the effectiveness of Chain of Density <a href=https://arxiv.org/abs/2309.04269>[Adams et al. (2023)]</a>. As always, all code is readily available in our <code>examples/chain-of-density</code> folder in our repo for your reference.</p> <!-- more --> <details class=abstract> <summary>Datasets and Colab Notebook</summary> <p>We've also uploaded all our generated data to Hugging Face <a href=https://huggingface.co/datasets/ivanleomk/gpt4-chain-of-density>here</a> for you to use if you'd like to try reproducing these experiments. We've also added a <a href="https://colab.research.google.com/drive/1iBkrEh2G5U8yh8RmI8EkWxjLq6zIIuVm?usp=sharing">Colab Instance</a> for you to check our generated values.</p> </details> <h2 id=part-1-chain-of-density>Part 1) Chain of Density<a class=headerlink href=#part-1-chain-of-density title="Permanent link">&para;</a></h2> <p>Summarizing extensive texts with AI can be challenging, often relying on inconsistent techniques. Their novel method, Chain Of Density prompting, enhances AI-based text summarization, outperforming human-generated summaries.</p> <p>Initially, an AI produces a summary, then refines it through multiple iterations, adding missing article entities. Each iteration adds new article entities to the summary, keeping length consistent, leading to an entity-dense, informative summary called Chain Of Density.</p> <p>First introduced in the paper - <a href=https://arxiv.org/abs/2309.04269>From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting</a>. The team has found that this method is able to consistently beats similar summaries written by human annotators.</p> <details class=info> <summary>Implementation Details</summary> <p>Note that our implementation uses a validator to ensure that the rewritten summary has a minimum length rather than a prompt. We also perform just 3 and not 5 rounds of rewrites, resulting in a lower final entity density.</p> </details> <h3 id=original-prompt>Original Prompt<a class=headerlink href=#original-prompt title="Permanent link">&para;</a></h3> <p>We can break down the original process into smaller api calls. This allows us to introduce validation at each step to ensure that we're getting the results that we want.</p> <details class=note> <summary>Original Chain of Density Prompt</summary> <div class="language-text highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>Article: {{ARTICLE}}
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<ul class=md-nav__list> <li class=md-nav__item> <a href=#understanding-async-and-await class=md-nav__link> <span class=md-ellipsis> Understanding async and await </span> </a> </li> <li class=md-nav__item> <a href=#understanding-gather-vs-as_completed class=md-nav__link> <span class=md-ellipsis> Understanding gather vs as_completed </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#example-batch-processing class=md-nav__link> <span class=md-ellipsis> Example: Batch Processing </span> </a> <nav class=md-nav aria-label="Example: Batch Processing"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#for-loop-running-tasks-sequentially class=md-nav__link> <span class=md-ellipsis> for loop: Running tasks sequentially. </span> </a> </li> <li class=md-nav__item> <a href=#asynciogather-running-tasks-concurrently class=md-nav__link> <span class=md-ellipsis> asyncio.gather: Running tasks concurrently. </span> </a> </li> <li class=md-nav__item> <a href=#asyncioas_completed-handling-tasks-as-they-complete class=md-nav__link> <span class=md-ellipsis> asyncio.as_completed: Handling tasks as they complete. </span> </a> </li> <li class=md-nav__item> <a href=#rate-limited-gather-using-semaphores-to-limit-concurrency class=md-nav__link> <span class=md-ellipsis> Rate-Limited Gather: Using semaphores to limit concurrency. </span> </a> </li> <li class=md-nav__item> <a href=#rate-limited-as-completed-using-semaphores-to-limit-concurrency class=md-nav__link> <span class=md-ellipsis> Rate-Limited As Completed: Using semaphores to limit concurrency. </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#results class=md-nav__link> <span class=md-ellipsis> Results </span> </a> </li> <li class=md-nav__item> <a href=#practical-implications-of-batch-processing class=md-nav__link> <span class=md-ellipsis> Practical implications of batch processing </span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-content 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class="md-nav__item md-nav__item--section"> <div class=md-post__title> <span class=md-ellipsis> Metadata </span> </div> <nav class=md-nav> <ul class=md-nav__list> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M19 19H5V8h14m-3-7v2H8V1H6v2H5c-1.11 0-2 .89-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2h-1V1m-1 11h-5v5h5v-5Z"/></svg> <time datetime="2023-11-13 00:00:00" class=md-ellipsis>2023/11/13</time> </div> </li> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 20a8 8 0 0 0 8-8 8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8m0-18a10 10 0 0 1 10 10 10 10 0 0 1-10 10C6.47 22 2 17.5 2 12A10 10 0 0 1 12 2m.5 5v5.25l4.5 2.67-.75 1.23L11 13V7h1.5Z"/></svg> <span class=md-ellipsis> 6 min read </span> </div> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/blog/posts/learn-async.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/blog/posts/learn-async.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=batch-processing-openai-using-asyncio-and-instructor-with-python>Batch Processing OpenAI using <code>asyncio</code> and <code>Instructor</code> with Python<a class=headerlink href=#batch-processing-openai-using-asyncio-and-instructor-with-python title="Permanent link">&para;</a></h1> <p>Today, I will introduce you to various approaches for using asyncio in Python. We will apply this to batch process data using <code>instructor</code> and learn how to use <code>asyncio.gather</code> and <code>asyncio.as_completed</code> for concurrent data processing. Additionally, we will explore how to limit the number of concurrent requests to a server using <code>asyncio.Semaphore</code>.</p> <!-- more --> <div class="admonition notes"> <p class=admonition-title>Github Example</p> <p>If you want to run the code examples in this article, you can find them on <a href=https://github.com/jxnl/instructor/blob/main/examples/learn-async/run.py>jxnl/instructor</a></p> </div> <p>We will start by defining an <code>async</code> function that calls <code>openai</code> to extract data, and then examine four different ways to execute it. We will discuss the pros and cons of each approach and analyze the results of running them on a small batch.</p> <h2 id=understanding-asyncio>Understanding <code>asyncio</code><a class=headerlink href=#understanding-asyncio title="Permanent link">&para;</a></h2> <p><code>asyncio</code> is a Python library that enables writing concurrent code using the async/await syntax. It is particularly useful for IO-bound and structured network code. If you are familiar with OpenAI's SDK, you might have encountered two classes: <code>OpenAI()</code> and <code>AsyncOpenAI()</code>. Today, we will be using the <code>AsyncOpenAI()</code> class, which processes data asynchronously.</p> <p>By utilizing these tools in web applications or batch processing, we can significantly improve performance by handling multiple requests concurrently instead of sequentially.</p> <h3 id=understanding-async-and-await>Understanding <code>async</code> and <code>await</code><a class=headerlink href=#understanding-async-and-await title="Permanent link">&para;</a></h3> <p>We will be using the <code>async</code> and <code>await</code> keywords to define asynchronous functions. The <code>async</code> keyword is used to define a function that returns a coroutine object. The <code>await</code> keyword is used to wait for the result of a coroutine object.</p> <p>If you want to understand the deeper details of <code>asyncio</code>, I recommend reading <a href=https://realpython.com/async-io-python/ >this article</a> by Real Python.</p> <h3 id=understanding-gather-vs-as_completed>Understanding <code>gather</code> vs <code>as_completed</code><a class=headerlink href=#understanding-gather-vs-as_completed title="Permanent link">&para;</a></h3> <p>In this post we'll show two ways to run tasks concurrently: <code>asyncio.gather</code> and <code>asyncio.as_completed</code>. The <code>gather</code> method is used to run multiple tasks concurrently and return the results as a <code>list</code>. The <code>as_completed</code> returns a <code>iterable</code> is used to run multiple tasks concurrently and return the results as they complete. Another great resource on the differences between the two can be found <a href=https://medium.com/dev-bits/a-minimalistic-guide-for-understanding-asyncio-in-python-52c436c244ea>here</a>.</p> <h2 id=example-batch-processing>Example: Batch Processing<a class=headerlink href=#example-batch-processing title="Permanent link">&para;</a></h2> <p>In this example, we will demonstrate how to use <code>asyncio</code> for batch processing tasks, specifically for extracting and processing data concurrently. The script will extract data from a list of texts and process it concurrently using <code>asyncio</code>.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>instructor</span>
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aria-label="Example 1: Simple Substring Check"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#code-example class=md-nav__link> <span class=md-ellipsis> Code Example: </span> </a> </li> <li class=md-nav__item> <a href=#error-message-example class=md-nav__link> <span class=md-ellipsis> Error Message Example: </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#example-2-using-llm-for-verification class=md-nav__link> <span class=md-ellipsis> Example 2: Using LLM for Verification </span> </a> <nav class=md-nav aria-label="Example 2: Using LLM for Verification"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#code-example_1 class=md-nav__link> <span class=md-ellipsis> Code Example: </span> </a> </li> <li class=md-nav__item> <a href=#result class=md-nav__link> <span class=md-ellipsis> Result: </span> </a> </li> <li class=md-nav__item> <a href=#error-message-example_1 class=md-nav__link> <span class=md-ellipsis> Error Message Example: </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#example-3-aligning-citations-and-answers class=md-nav__link> <span class=md-ellipsis> Example 3: Aligning Citations and Answers </span> </a> <nav class=md-nav aria-label="Example 3: Aligning Citations and Answers"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#code-example_2 class=md-nav__link> <span class=md-ellipsis> Code Example: </span> </a> </li> <li class=md-nav__item> <a href=#error-message-example_2 class=md-nav__link> <span class=md-ellipsis> Error Message Example: </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#conclusion class=md-nav__link> <span class=md-ellipsis> Conclusion </span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-content md-content--post" data-md-component=content> <div class="md-sidebar md-sidebar--post" data-md-component=sidebar data-md-type=navigation> <div class=md-sidebar__scrollwrap> <div class="md-sidebar__inner md-post"> <nav class="md-nav md-nav--primary"> <div class=md-post__back> <div class="md-nav__title md-nav__container"> <a href=../../../../ class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> <span class=md-ellipsis> Back to index </span> </a> </div> </div> <div class="md-post__authors md-typeset"> <div class="md-profile md-post__profile"> <span class="md-author md-author--long"> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> <span class=md-profile__description> <strong> <a href="https://twitter.com/intent/follow?screen_name=jxnlco">Jason Liu</a> </strong> <br> Creator </span> </div> </div> <ul class="md-post__meta md-nav__list"> <li class="md-nav__item md-nav__item--section"> <div class=md-post__title> <span class=md-ellipsis> Metadata </span> </div> <nav class=md-nav> <ul class=md-nav__list> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M19 19H5V8h14m-3-7v2H8V1H6v2H5c-1.11 0-2 .89-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2h-1V1m-1 11h-5v5h5v-5Z"/></svg> <time datetime="2023-11-18 00:00:00" class=md-ellipsis>2023/11/18</time> </div> </li> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 20a8 8 0 0 0 8-8 8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8m0-18a10 10 0 0 1 10 10 10 10 0 0 1-10 10C6.47 22 2 17.5 2 12A10 10 0 0 1 12 2m.5 5v5.25l4.5 2.67-.75 1.23L11 13V7h1.5Z"/></svg> <span class=md-ellipsis> 4 min read </span> </div> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/blog/posts/citations.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/blog/posts/citations.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=verifying-llm-citations-with-pydantic>Verifying LLM Citations with Pydantic<a class=headerlink href=#verifying-llm-citations-with-pydantic title="Permanent link">&para;</a></h1> <p>Ensuring the accuracy of information is crucial. This blog post explores how Pydantic's powerful and flexible validators can enhance data accuracy through citation verification.</p> <p>We'll start with using a simple substring check to verify citations. Then we'll use <code>instructor</code> itself to power an LLM to verify citations and align answers with the given citations. Finally, we'll explore how we can use these techniques to generate a dataset of accurate responses.</p> <!-- more --> <h2 id=example-1-simple-substring-check>Example 1: Simple Substring Check<a class=headerlink href=#example-1-simple-substring-check title="Permanent link">&para;</a></h2> <p>In this example, we use the <code>Statements</code> class to verify if a given substring quote exists within a text chunk. If the substring is not found, an error is raised.</p> <h3 id=code-example>Code Example:<a class=headerlink href=#code-example title="Permanent link">&para;</a></h3> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>typing</span> <span class=kn>import</span> <span class=n>List</span>
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</li> <li class=md-nav__item> <a href=#2-diskcache-for-persistent-large-data-caching class=md-nav__link> <span class=md-ellipsis> 2. diskcache for Persistent, Large Data Caching </span> </a> </li> <li class=md-nav__item> <a href=#2-redis-caching-decorator-for-distributed-systems class=md-nav__link> <span class=md-ellipsis> 2. Redis Caching Decorator for Distributed Systems </span> </a> </li> <li class=md-nav__item> <a href=#conclusion class=md-nav__link> <span class=md-ellipsis> Conclusion </span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-content md-content--post" data-md-component=content> <div class="md-sidebar md-sidebar--post" data-md-component=sidebar data-md-type=navigation> <div class=md-sidebar__scrollwrap> <div class="md-sidebar__inner md-post"> <nav class="md-nav md-nav--primary"> <div class=md-post__back> <div class="md-nav__title md-nav__container"> <a href=../../../../ class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> <span class=md-ellipsis> Back to index </span> </a> </div> </div> <div class="md-post__authors md-typeset"> <div class="md-profile md-post__profile"> <span class="md-author md-author--long"> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> <span class=md-profile__description> <strong> <a href="https://twitter.com/intent/follow?screen_name=jxnlco">Jason Liu</a> </strong> <br> Creator </span> </div> </div> <ul class="md-post__meta md-nav__list"> <li class="md-nav__item md-nav__item--section"> <div class=md-post__title> <span class=md-ellipsis> Metadata </span> </div> <nav class=md-nav> <ul class=md-nav__list> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M19 19H5V8h14m-3-7v2H8V1H6v2H5c-1.11 0-2 .89-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2h-1V1m-1 11h-5v5h5v-5Z"/></svg> <time datetime="2023-11-26 00:00:00" class=md-ellipsis>2023/11/26</time> </div> </li> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 20a8 8 0 0 0 8-8 8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8m0-18a10 10 0 0 1 10 10 10 10 0 0 1-10 10C6.47 22 2 17.5 2 12A10 10 0 0 1 12 2m.5 5v5.25l4.5 2.67-.75 1.23L11 13V7h1.5Z"/></svg> <span class=md-ellipsis> 7 min read </span> </div> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/blog/posts/caching.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/blog/posts/caching.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=introduction-to-caching-in-python>Introduction to Caching in Python<a class=headerlink href=#introduction-to-caching-in-python title="Permanent link">&para;</a></h1> <blockquote> <p>Instructor makes working with language models easy, but they are still computationally expensive.</p> </blockquote> <p>Today, we're diving into optimizing instructor code while maintaining the excellent DX offered by <a href=https://docs.pydantic.dev/latest/ >Pydantic</a> models. We'll tackle the challenges of caching Pydantic models, typically incompatible with <code>pickle</code>, and explore solutions that use <code>decorators</code> like <code>functools.cache</code>. Then, we'll craft custom decorators with <code>diskcache</code> and <code>redis</code> to support persistent caching and distributed systems.</p> <!-- more --> <p>Let's first consider our canonical example, using the <code>OpenAI</code> Python client to extract user details.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>instructor</span>
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</span> </a> <nav class=md-nav aria-label="Python Generators: An Efficient Approach to Iterables"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#the-basics-yielding-values class=md-nav__link> <span class=md-ellipsis> The Basics: Yielding Values </span> </a> </li> <li class=md-nav__item> <a href=#advantages-over-traditional-collections class=md-nav__link> <span class=md-ellipsis> Advantages Over Traditional Collections </span> </a> </li> <li class=md-nav__item> <a href=#generator-expressions-a-shortcut class=md-nav__link> <span class=md-ellipsis> Generator Expressions: A Shortcut </span> </a> </li> <li class=md-nav__item> <a href=#use-cases-in-real-world-applications class=md-nav__link> <span class=md-ellipsis> Use Cases in Real-World Applications </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#llm-streaming class=md-nav__link> <span class=md-ellipsis> LLM Streaming </span> </a> <nav class=md-nav aria-label="LLM Streaming"> <ul class=md-nav__list> <li 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class="md-sidebar__inner md-post"> <nav class="md-nav md-nav--primary"> <div class=md-post__back> <div class="md-nav__title md-nav__container"> <a href=../../../../ class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> <span class=md-ellipsis> Back to index </span> </a> </div> </div> <div class="md-post__authors md-typeset"> <div class="md-profile md-post__profile"> <span class="md-author md-author--long"> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> <span class=md-profile__description> <strong> <a href="https://twitter.com/intent/follow?screen_name=jxnlco">Jason Liu</a> </strong> <br> Creator </span> </div> <div class="md-profile md-post__profile"> <span class="md-author md-author--long"> <img src=https://pbs.twimg.com/profile_images/1248544843556466693/PgxUIeBs_400x400.jpg alt="Anmol Jawandha"> </span> <span class=md-profile__description> <strong> Anmol Jawandha </strong> <br> Contributor </span> </div> </div> <ul class="md-post__meta md-nav__list"> <li class="md-nav__item md-nav__item--section"> <div class=md-post__title> <span class=md-ellipsis> Metadata </span> </div> <nav class=md-nav> <ul class=md-nav__list> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M19 19H5V8h14m-3-7v2H8V1H6v2H5c-1.11 0-2 .89-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2h-1V1m-1 11h-5v5h5v-5Z"/></svg> <time datetime="2023-11-26 00:00:00" class=md-ellipsis>2023/11/26</time> </div> </li> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 20a8 8 0 0 0 8-8 8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8m0-18a10 10 0 0 1 10 10 10 10 0 0 1-10 10C6.47 22 2 17.5 2 12A10 10 0 0 1 12 2m.5 5v5.25l4.5 2.67-.75 1.23L11 13V7h1.5Z"/></svg> <span class=md-ellipsis> 6 min read </span> </div> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/blog/posts/generator.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/blog/posts/generator.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=generators-and-llm-streaming>Generators and LLM Streaming<a class=headerlink href=#generators-and-llm-streaming title="Permanent link">&para;</a></h1> <p>Latency is crucial, especially in eCommerce and newer chat applications like ChatGPT. Streaming is the solution that enables us to enhance the user experience without the need for faster response times.</p> <p>And what makes streaming possible? Generators!</p> <!-- more --> <p>In this post, we're going to dive into the cool world of Python generators — these tools are more than just a coding syntax trick. We'll explore Python generators from the ground up and then delve into LLM streaming using the Instructor library.</p> <h2 id=python-generators-an-efficient-approach-to-iterables>Python Generators: An Efficient Approach to Iterables<a class=headerlink href=#python-generators-an-efficient-approach-to-iterables title="Permanent link">&para;</a></h2> <p>Generators in Python are a game-changer for handling large data sets and stream processing. They allow functions to yield values one at a time, pausing and resuming their state, which is a faster and more memory-efficient approach compared to traditional collections that store all elements in memory.</p> <h3 id=the-basics-yielding-values>The Basics: Yielding Values<a class=headerlink href=#the-basics-yielding-values title="Permanent link">&para;</a></h3> <p>A generator function in Python uses the <code>yield</code> keyword. It yields values one at a time, allowing the function to pause and resume its state.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=k>def</span> <span class=nf>count_to_3</span><span class=p>():</span>
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href=../../../../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../../../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#langsmith class=md-nav__link> <span class=md-ellipsis> LangSmith </span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-content md-content--post" data-md-component=content> <div class="md-sidebar md-sidebar--post" data-md-component=sidebar data-md-type=navigation> <div class=md-sidebar__scrollwrap> <div class="md-sidebar__inner md-post"> <nav class="md-nav md-nav--primary"> <div class=md-post__back> <div class="md-nav__title md-nav__container"> <a href=../../../../ class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> <span class=md-ellipsis> Back to index </span> </a> </div> </div> <div class="md-post__authors md-typeset"> <div class="md-profile md-post__profile"> <span class="md-author md-author--long"> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> <span class=md-profile__description> <strong> <a href="https://twitter.com/intent/follow?screen_name=jxnlco">Jason Liu</a> </strong> <br> Creator </span> </div> </div> <ul class="md-post__meta md-nav__list"> <li class="md-nav__item md-nav__item--section"> <div class=md-post__title> <span class=md-ellipsis> Metadata </span> </div> <nav class=md-nav> <ul class=md-nav__list> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M19 19H5V8h14m-3-7v2H8V1H6v2H5c-1.11 0-2 .89-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2h-1V1m-1 11h-5v5h5v-5Z"/></svg> <time datetime="2024-02-18 00:00:00" class=md-ellipsis>2024/02/18</time> </div> </li> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 20a8 8 0 0 0 8-8 8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8m0-18a10 10 0 0 1 10 10 10 10 0 0 1-10 10C6.47 22 2 17.5 2 12A10 10 0 0 1 12 2m.5 5v5.25l4.5 2.67-.75 1.23L11 13V7h1.5Z"/></svg> <span class=md-ellipsis> 3 min read </span> </div> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/blog/posts/langsmith.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/blog/posts/langsmith.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=seamless-support-with-langsmith>Seamless Support with Langsmith<a class=headerlink href=#seamless-support-with-langsmith title="Permanent link">&para;</a></h1> <p>Its a common misconception that LangChain's <a href=https://www.langchain.com/langsmith>LangSmith</a> is only compatible with LangChain's models. In reality, LangSmith is a unified DevOps platform for developing, collaborating, testing, deploying, and monitoring LLM applications. In this blog we will explore how LangSmith can be used to enhance the OpenAI client alongside <code>instructor</code>.</p> <!-- more --> <h2 id=langsmith>LangSmith<a class=headerlink href=#langsmith title="Permanent link">&para;</a></h2> <p>In order to use langsmith, you first need to set your LangSmith API key.</p> <div class="language-text highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>export LANGCHAIN_API_KEY=&lt;your-api-key&gt;
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href=../../../../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../../../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#other-features class=md-nav__link> <span class=md-ellipsis> Other Features </span> </a> </li> <li class=md-nav__item> <a href=#instructors-broad-applicability class=md-nav__link> <span class=md-ellipsis> Instructor's Broad Applicability </span> </a> </li> <li class=md-nav__item> <a href=#direct-access-to-the-messages-array class=md-nav__link> <span class=md-ellipsis> Direct access to the messages array </span> </a> </li> <li class=md-nav__item> <a href=#low-abstraction class=md-nav__link> <span class=md-ellipsis> Low Abstraction </span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-content md-content--post" data-md-component=content> <div class="md-sidebar md-sidebar--post" data-md-component=sidebar data-md-type=navigation> <div class=md-sidebar__scrollwrap> <div class="md-sidebar__inner md-post"> <nav class="md-nav md-nav--primary"> <div class=md-post__back> <div class="md-nav__title md-nav__container"> <a href=../../../../ class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> <span class=md-ellipsis> Back to index </span> </a> </div> </div> <div class="md-post__authors md-typeset"> <div class="md-profile md-post__profile"> <span class="md-author md-author--long"> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> <span class=md-profile__description> <strong> <a href="https://twitter.com/intent/follow?screen_name=jxnlco">Jason Liu</a> </strong> <br> Creator </span> </div> </div> <ul class="md-post__meta md-nav__list"> <li class="md-nav__item md-nav__item--section"> <div class=md-post__title> <span class=md-ellipsis> Metadata </span> </div> <nav class=md-nav> <ul class=md-nav__list> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M19 19H5V8h14m-3-7v2H8V1H6v2H5c-1.11 0-2 .89-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2h-1V1m-1 11h-5v5h5v-5Z"/></svg> <time datetime="2024-03-05 00:00:00" class=md-ellipsis>2024/03/05</time> </div> </li> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 20a8 8 0 0 0 8-8 8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8m0-18a10 10 0 0 1 10 10 10 10 0 0 1-10 10C6.47 22 2 17.5 2 12A10 10 0 0 1 12 2m.5 5v5.25l4.5 2.67-.75 1.23L11 13V7h1.5Z"/></svg> <span class=md-ellipsis> 3 min read </span> </div> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/blog/posts/best_framework.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/blog/posts/best_framework.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=why-instructor-is-the-best-library-for-structured-llm-outputs>Why Instructor is the Best Library for Structured LLM Outputs<a class=headerlink href=#why-instructor-is-the-best-library-for-structured-llm-outputs title="Permanent link">&para;</a></h1> <p>Large language models (LLMs) like GPTs are incredibly powerful, but working with their open-ended text outputs can be challenging. This is where the Instructor library shines - it allows you to easily map LLM outputs to structured data using Python type annotations.</p> <!-- more --> <p>The core idea behind Instructor is incredibly simple: it's just a patch over the OpenAI Python SDK that adds a response_model parameter. This parameter lets you pass in a Pydantic model that describes the structure you want the LLM output mapped to. Pydantic models are defined using standard Python type hints, so there's zero new syntax to learn.</p> <p>Here's an example of extracting structured user data from an LLM:</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>pydantic</span> <span class=kn>import</span> <span class=n>BaseModel</span>
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</a> </li> <li class=md-nav__item> <a href=#local-models class=md-nav__link> <span class=md-ellipsis> Local Models </span> </a> <nav class=md-nav aria-label="Local Models"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#ollama-a-new-frontier-for-local-models class=md-nav__link> <span class=md-ellipsis> Ollama: A New Frontier for Local Models </span> </a> </li> <li class=md-nav__item> <a href=#llama-cpp-python class=md-nav__link> <span class=md-ellipsis> llama-cpp-python </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#alternative-providers class=md-nav__link> <span class=md-ellipsis> Alternative Providers </span> </a> <nav class=md-nav aria-label="Alternative Providers"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#anyscale class=md-nav__link> <span class=md-ellipsis> Anyscale </span> </a> </li> <li class=md-nav__item> <a href=#groq class=md-nav__link> <span class=md-ellipsis> Groq </span> </a> </li> <li class=md-nav__item> <a href=#together-ai class=md-nav__link> <span class=md-ellipsis> Together AI </span> </a> </li> <li class=md-nav__item> <a href=#mistral class=md-nav__link> <span class=md-ellipsis> Mistral </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class="md-content md-content--post" data-md-component=content> <div class="md-sidebar md-sidebar--post" data-md-component=sidebar data-md-type=navigation> <div class=md-sidebar__scrollwrap> <div class="md-sidebar__inner md-post"> <nav class="md-nav md-nav--primary"> <div class=md-post__back> <div class="md-nav__title md-nav__container"> <a href=../../../../ class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> <span class=md-ellipsis> Back to index </span> </a> </div> </div> <div class="md-post__authors md-typeset"> <div class="md-profile md-post__profile"> <span class="md-author md-author--long"> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> <span class=md-profile__description> <strong> <a href="https://twitter.com/intent/follow?screen_name=jxnlco">Jason Liu</a> </strong> <br> Creator </span> </div> </div> <ul class="md-post__meta md-nav__list"> <li class="md-nav__item md-nav__item--section"> <div class=md-post__title> <span class=md-ellipsis> Metadata </span> </div> <nav class=md-nav> <ul class=md-nav__list> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M19 19H5V8h14m-3-7v2H8V1H6v2H5c-1.11 0-2 .89-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2h-1V1m-1 11h-5v5h5v-5Z"/></svg> <time datetime="2024-03-07 00:00:00" class=md-ellipsis>2024/03/07</time> </div> </li> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 20a8 8 0 0 0 8-8 8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8m0-18a10 10 0 0 1 10 10 10 10 0 0 1-10 10C6.47 22 2 17.5 2 12A10 10 0 0 1 12 2m.5 5v5.25l4.5 2.67-.75 1.23L11 13V7h1.5Z"/></svg> <span class=md-ellipsis> 4 min read </span> </div> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/blog/posts/open_source.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/blog/posts/open_source.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=structured-output-for-open-source-and-local-llms>Structured Output for Open Source and Local LLMS<a class=headerlink href=#structured-output-for-open-source-and-local-llms title="Permanent link">&para;</a></h1> <p>Originally, Instructor facilitated API interactions solely via the OpenAI SDK, with an emphasis on function call by incorporating <a href=https://pydantic-docs.helpmanual.io/ >Pydantic</a> for structured data validation and serialization. </p> <p>As the year progressed, we expanded our toolkit by integrating <a href=../../../../../concepts/patching/#json-mode>JSON mode</a>, thus enhancing our adaptability to vision models and open source models. This advancement now enables us to support an extensive range of models, from <a href=https://openai.com/api/ >GPT</a> and <a href=https://mistral.ai>Mistral</a> to virtually any model accessible through <a href=https://ollama.ai>Ollama</a> and <a href=https://huggingface.co/models>Hugging Face</a>, facilitated by <a href=../../../../../hub/llama-cpp-python/ >llama-cpp-python</a>. For more insights into leveraging JSON mode with various models, refer back to our detailed guide on <a href=../../../../../concepts/patching/ >Patching</a>.</p> <p>If you want to check out a course on how to use Instructor with Pydantic, check out our course on <a href=https://www.wandb.courses/courses/steering-language-models>Steering language models towards structured outputs.</a>.</p> <!-- more --> <h2 id=exploring-different-openai-clients-with-instructor>Exploring Different OpenAI Clients with Instructor<a class=headerlink href=#exploring-different-openai-clients-with-instructor title="Permanent link">&para;</a></h2> <p>The landscape of OpenAI clients is diverse, each offering unique functionalities tailored to different needs. Below, we explore some of the notable clients integrated with Instructor, providing structured outputs and enhanced capabilities, complete with examples of how to initialize and patch each client.</p> <h2 id=local-models>Local Models<a class=headerlink href=#local-models title="Permanent link">&para;</a></h2> <h3 id=ollama-a-new-frontier-for-local-models>Ollama: A New Frontier for Local Models<a class=headerlink href=#ollama-a-new-frontier-for-local-models title="Permanent link">&para;</a></h3> <p>Ollama's introduction significantly impacts the open-source community, offering a way to merge structured outputs with local models via JSON schema, as detailed in our <a href=../../../../../hub/ollama/ >Ollama documentation</a>.</p> <p>For an in-depth exploration of Ollama, including setup and advanced features, refer to the documentation. The <a href=https://ollama.ai/download>Ollama official website</a> also provides essential resources, model downloads, and community support for newcomers.</p> <div class="language-text highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>ollama run llama2
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href=#leveraging-complex-example class=md-nav__link> <span class=md-ellipsis> Leveraging Complex Example </span> </a> </li> <li class=md-nav__item> <a href=#leveraging-descriptions class=md-nav__link> <span class=md-ellipsis> Leveraging Descriptions </span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-content md-content--post" data-md-component=content> <div class="md-sidebar md-sidebar--post" data-md-component=sidebar data-md-type=navigation> <div class=md-sidebar__scrollwrap> <div class="md-sidebar__inner md-post"> <nav class="md-nav md-nav--primary"> <div class=md-post__back> <div class="md-nav__title md-nav__container"> <a href=../../../../ class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> <span class=md-ellipsis> Back to index </span> </a> </div> </div> <div class="md-post__authors md-typeset"> <div class="md-profile md-post__profile"> <span class="md-author md-author--long"> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> <span class=md-profile__description> <strong> <a href="https://twitter.com/intent/follow?screen_name=jxnlco">Jason Liu</a> </strong> <br> Creator </span> </div> </div> <ul class="md-post__meta md-nav__list"> <li class="md-nav__item md-nav__item--section"> <div class=md-post__title> <span class=md-ellipsis> Metadata </span> </div> <nav class=md-nav> <ul class=md-nav__list> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M19 19H5V8h14m-3-7v2H8V1H6v2H5c-1.11 0-2 .89-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2h-1V1m-1 11h-5v5h5v-5Z"/></svg> <time datetime="2024-03-08 00:00:00" class=md-ellipsis>2024/03/08</time> </div> </li> <li class=md-nav__item> <div class=md-nav__link> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 20a8 8 0 0 0 8-8 8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8m0-18a10 10 0 0 1 10 10 10 10 0 0 1-10 10C6.47 22 2 17.5 2 12A10 10 0 0 1 12 2m.5 5v5.25l4.5 2.67-.75 1.23L11 13V7h1.5Z"/></svg> <span class=md-ellipsis> 3 min read </span> </div> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/blog/posts/fake-data.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/blog/posts/fake-data.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=simple-synthetic-data-generation>Simple Synthetic Data Generation<a class=headerlink href=#simple-synthetic-data-generation title="Permanent link">&para;</a></h1> <p>What that people have been using instructor for is to generate synthetic data rather than extracting data itself. We can even use the J-Schemo extra fields to give specific examples to control how we generate data. </p> <p>Consider the example below. We'll likely generate very simple names.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>typing</span> <span class=kn>import</span> <span class=n>Iterable</span>
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href=#generators-and-llm-streaming class=md-nav__link> <span class=md-ellipsis> Generators and LLM Streaming </span> </a> </li> <li class=md-nav__item> <a href=#verifying-llm-citations-with-pydantic class=md-nav__link> <span class=md-ellipsis> Verifying LLM Citations with Pydantic </span> </a> </li> <li class=md-nav__item> <a href=#batch-processing-openai-using-asyncio-and-instructor-with-python class=md-nav__link> <span class=md-ellipsis> Batch Processing OpenAI using asyncio and Instructor with Python </span> </a> </li> <li class=md-nav__item> <a href=#smarter-summaries-w-finetuning-gpt-35-and-chain-of-density class=md-nav__link> <span class=md-ellipsis> Smarter Summaries w/ Finetuning GPT-3.5 and Chain of Density </span> </a> </li> <li class=md-nav__item> <a href=#ai-engineer-keynote-pydantic-is-all-you-need class=md-nav__link> <span class=md-ellipsis> AI Engineer Keynote: Pydantic is all you need </span> </a> </li> <li class=md-nav__item> <a href=#good-llm-validation-is-just-good-validation class=md-nav__link> <span class=md-ellipsis> Good LLM Validation is Just Good Validation </span> </a> </li> <li class=md-nav__item> <a href=#enhancing-python-functions-with-instructor-a-guide-to-fine-tuning-and-distillation class=md-nav__link> <span class=md-ellipsis> Enhancing Python Functions with Instructor: A Guide to Fine-Tuning and Distillation </span> </a> </li> <li class=md-nav__item> <a href=#rag-is-more-than-just-embedding-search class=md-nav__link> <span class=md-ellipsis> RAG is more than just embedding search </span> </a> </li> <li class=md-nav__item> <a href=#generating-structured-output-json-from-llms class=md-nav__link> <span class=md-ellipsis> Generating Structured Output / JSON from LLMs </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts 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<span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#introduction-to-caching-in-python class=md-nav__link> <span class=md-ellipsis> Introduction to Caching in Python </span> </a> </li> <li class=md-nav__item> <a href=#generators-and-llm-streaming class=md-nav__link> <span class=md-ellipsis> Generators and LLM Streaming </span> </a> </li> <li class=md-nav__item> <a href=#verifying-llm-citations-with-pydantic class=md-nav__link> <span class=md-ellipsis> Verifying LLM Citations with Pydantic </span> </a> </li> <li class=md-nav__item> <a href=#batch-processing-openai-using-asyncio-and-instructor-with-python class=md-nav__link> <span class=md-ellipsis> Batch Processing OpenAI using asyncio and Instructor with Python </span> </a> </li> <li class=md-nav__item> <a href=#smarter-summaries-w-finetuning-gpt-35-and-chain-of-density class=md-nav__link> <span class=md-ellipsis> Smarter Summaries w/ Finetuning GPT-3.5 and Chain of Density </span> </a> </li> <li class=md-nav__item> <a href=#ai-engineer-keynote-pydantic-is-all-you-need class=md-nav__link> <span class=md-ellipsis> AI Engineer Keynote: Pydantic is all you need </span> </a> </li> <li class=md-nav__item> <a href=#good-llm-validation-is-just-good-validation class=md-nav__link> <span class=md-ellipsis> Good LLM Validation is Just Good Validation </span> </a> </li> <li class=md-nav__item> <a href=#enhancing-python-functions-with-instructor-a-guide-to-fine-tuning-and-distillation class=md-nav__link> <span class=md-ellipsis> Enhancing Python Functions with Instructor: A Guide to Fine-Tuning and Distillation </span> </a> </li> <li class=md-nav__item> <a href=#rag-is-more-than-just-embedding-search class=md-nav__link> <span class=md-ellipsis> RAG is more than just embedding search </span> </a> </li> <li class=md-nav__item> <a href=#generating-structured-output-json-from-llms class=md-nav__link> <span class=md-ellipsis> Generating Structured Output / JSON from LLMs </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <div class=md-content__inner> <header class=md-typeset> <h1 id=2023>2023<a class=headerlink href=#2023 title="Permanent link">&para;</a></h1> </header> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-26 00:00:00">2023/11/26</time></li> <li class=md-meta__item> 7 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=introduction-to-caching-in-python><a href=../../2023/11/26/python-caching/ class=toclink>Introduction to Caching in Python</a></h2> <blockquote> <p>Instructor makes working with language models easy, but they are still computationally expensive.</p> </blockquote> <p>Today, we're diving into optimizing instructor code while maintaining the excellent DX offered by <a href=https://docs.pydantic.dev/latest/ >Pydantic</a> models. We'll tackle the challenges of caching Pydantic models, typically incompatible with <code>pickle</code>, and explore solutions that use <code>decorators</code> like <code>functools.cache</code>. Then, we'll craft custom decorators with <code>diskcache</code> and <code>redis</code> to support persistent caching and distributed systems.</p> <nav class=md-post__action> <a href=../../2023/11/26/python-caching/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-26 00:00:00">2023/11/26</time></li> <li class=md-meta__item> 6 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=generators-and-llm-streaming><a href=../../2023/11/26/python-generators-and-llm-streaming/ class=toclink>Generators and LLM Streaming</a></h2> <p>Latency is crucial, especially in eCommerce and newer chat applications like ChatGPT. Streaming is the solution that enables us to enhance the user experience without the need for faster response times.</p> <p>And what makes streaming possible? Generators!</p> <nav class=md-post__action> <a href=../../2023/11/26/python-generators-and-llm-streaming/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-18 00:00:00">2023/11/18</time></li> <li class=md-meta__item> 4 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=verifying-llm-citations-with-pydantic><a href=../../2023/11/18/validate-citations/ class=toclink>Verifying LLM Citations with Pydantic</a></h2> <p>Ensuring the accuracy of information is crucial. This blog post explores how Pydantic's powerful and flexible validators can enhance data accuracy through citation verification.</p> <p>We'll start with using a simple substring check to verify citations. Then we'll use <code>instructor</code> itself to power an LLM to verify citations and align answers with the given citations. Finally, we'll explore how we can use these techniques to generate a dataset of accurate responses.</p> <nav class=md-post__action> <a href=../../2023/11/18/validate-citations/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-13 00:00:00">2023/11/13</time></li> <li class=md-meta__item> 6 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=batch-processing-openai-using-asyncio-and-instructor-with-python><a href=../../2023/11/13/learn-async/ class=toclink>Batch Processing OpenAI using <code>asyncio</code> and <code>Instructor</code> with Python</a></h2> <p>Today, I will introduce you to various approaches for using asyncio in Python. We will apply this to batch process data using <code>instructor</code> and learn how to use <code>asyncio.gather</code> and <code>asyncio.as_completed</code> for concurrent data processing. Additionally, we will explore how to limit the number of concurrent requests to a server using <code>asyncio.Semaphore</code>.</p> <nav class=md-post__action> <a href=../../2023/11/13/learn-async/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src=https://pbs.twimg.com/profile_images/1524186822389026816/sWRHRIkY_400x400.jpg alt="Ivan Leo"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-05 00:00:00">2023/11/05</time></li> <li class=md-meta__item> 15 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=smarter-summaries-w-finetuning-gpt-35-and-chain-of-density><a href=../../2023/11/05/chain-of-density/ class=toclink>Smarter Summaries w/ Finetuning GPT-3.5 and Chain of Density</a></h2> <blockquote> <p>Discover how to distil an iterative method like Chain Of Density into a single finetuned model using Instructor</p> </blockquote> <p>In this article, we'll guide you through implementing the original Chain of Density method using Instructor, then show how to distile a GPT 3.5 model to match GPT-4's iterative summarization capabilities. Using these methods were able to decrease latency by 20x, reduce costs by 50x and maintain entity density.</p> <p>By the end you'll end up with a GPT 3.5 model, (fine-tuned using Instructor's great tooling), capable of producing summaries that rival the effectiveness of Chain of Density <a href=https://arxiv.org/abs/2309.04269>[Adams et al. (2023)]</a>. As always, all code is readily available in our <code>examples/chain-of-density</code> folder in our repo for your reference.</p> <nav class=md-post__action> <a href=../../2023/11/05/chain-of-density/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-02 00:00:00">2023/11/02</time></li> <li class=md-meta__item> 1 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=ai-engineer-keynote-pydantic-is-all-you-need><a href=../../2023/11/02/ai-engineer-keynote-pydantic-is-all-you-need/ class=toclink>AI Engineer Keynote: Pydantic is all you need</a></h2> <p><a href="https://www.youtube.com/watch?v=yj-wSRJwrrc"><img alt="Pydantic is all you need" src=https://img.youtube.com/vi/yj-wSRJwrrc/0.jpg></a></p> <p><a href="https://www.youtube.com/watch?v=yj-wSRJwrrc">Click here to watch the full talk</a></p> <nav class=md-post__action> <a href=../../2023/11/02/ai-engineer-keynote-pydantic-is-all-you-need/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-10-23 00:00:00">2023/10/23</time></li> <li class=md-meta__item> 11 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=good-llm-validation-is-just-good-validation><a href=../../2023/10/23/good-llm-validation-is-just-good-validation/ class=toclink>Good LLM Validation is Just Good Validation</a></h2> <blockquote> <p>What if your validation logic could learn and adapt like a human, but operate at the speed of software? This is the future of validation and it's already here.</p> </blockquote> <p>Validation is the backbone of reliable software. But traditional methods are static, rule-based, and can't adapt to new challenges. This post looks at how to bring dynamic, machine learning-driven validation into your software stack using Python libraries like <code>Pydantic</code> and <code>Instructor</code>. We validate these outputs using a validation function which conforms to the structure seen below.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=k>def</span> <span class=nf>validation_function</span><span class=p>(</span><span class=n>value</span><span class=p>):</span>
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class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#simple-synthetic-data-generation class=md-nav__link> <span class=md-ellipsis> Simple Synthetic Data Generation </span> </a> </li> <li class=md-nav__item> <a href=#structured-output-for-open-source-and-local-llms class=md-nav__link> <span class=md-ellipsis> Structured Output for Open Source and Local LLMS </span> </a> </li> <li class=md-nav__item> <a href=#why-instructor-is-the-best-library-for-structured-llm-outputs class=md-nav__link> <span class=md-ellipsis> Why Instructor is the Best Library for Structured LLM Outputs </span> </a> </li> <li class=md-nav__item> <a href=#seamless-support-with-langsmith class=md-nav__link> <span class=md-ellipsis> Seamless Support with Langsmith </span> </a> </li> <li class=md-nav__item> <a href=#free-course-on-weights-and-biases class=md-nav__link> <span class=md-ellipsis> Free course on Weights and Biases </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <div class=md-content__inner> <header class=md-typeset> <h1 id=2024>2024<a class=headerlink href=#2024 title="Permanent link">&para;</a></h1> </header> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-03-08 00:00:00">2024/03/08</time></li> <li class=md-meta__item> 3 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=simple-synthetic-data-generation><a href=../../2024/03/08/simple-synthetic-data-generation/ class=toclink>Simple Synthetic Data Generation</a></h2> <p>What that people have been using instructor for is to generate synthetic data rather than extracting data itself. We can even use the J-Schemo extra fields to give specific examples to control how we generate data. </p> <p>Consider the example below. We'll likely generate very simple names.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-4-1><a id=__codelineno-4-1 name=__codelineno-4-1 href=#__codelineno-4-1></a><span class=kn>from</span> <span class=nn>typing</span> <span class=kn>import</span> <span class=n>Iterable</span>
@@ -153,4 +153,4 @@
 </span><span id=__span-7-34><a id=__codelineno-7-34 name=__codelineno-7-34 href=#__codelineno-7-34></a><span class=sd>    name=&#39;Marie&#39; age=27</span>
 </span><span id=__span-7-35><a id=__codelineno-7-35 name=__codelineno-7-35 href=#__codelineno-7-35></a><span class=sd>    name=&#39;Luc&#39; age=35</span>
 </span><span id=__span-7-36><a id=__codelineno-7-36 name=__codelineno-7-36 href=#__codelineno-7-36></a><span class=sd>    &quot;&quot;&quot;</span>
-</span></code></pre></div> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-03-07 00:00:00">2024/03/07</time></li> <li class=md-meta__item> 4 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=structured-output-for-open-source-and-local-llms><a href=../../2024/03/07/open-source-local-structured-output-pydantic-json-openai/ class=toclink>Structured Output for Open Source and Local LLMS</a></h2> <p>Originally, Instructor facilitated API interactions solely via the OpenAI SDK, with an emphasis on function call by incorporating <a href=https://pydantic-docs.helpmanual.io/ >Pydantic</a> for structured data validation and serialization. </p> <p>As the year progressed, we expanded our toolkit by integrating <a href=../../../concepts/patching/#json-mode>JSON mode</a>, thus enhancing our adaptability to vision models and open source models. This advancement now enables us to support an extensive range of models, from <a href=https://openai.com/api/ >GPT</a> and <a href=https://mistral.ai>Mistral</a> to virtually any model accessible through <a href=https://ollama.ai>Ollama</a> and <a href=https://huggingface.co/models>Hugging Face</a>, facilitated by <a href=../../../hub/llama-cpp-python/ >llama-cpp-python</a>. For more insights into leveraging JSON mode with various models, refer back to our detailed guide on <a href=../../../concepts/patching/ >Patching</a>.</p> <p>If you want to check out a course on how to use Instructor with Pydantic, check out our course on <a href=https://www.wandb.courses/courses/steering-language-models>Steering language models towards structured outputs.</a>.</p> <nav class=md-post__action> <a href=../../2024/03/07/open-source-local-structured-output-pydantic-json-openai/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-03-05 00:00:00">2024/03/05</time></li> <li class=md-meta__item> 3 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=why-instructor-is-the-best-library-for-structured-llm-outputs><a href=../../2024/03/05/zero-cost-abstractions/ class=toclink>Why Instructor is the Best Library for Structured LLM Outputs</a></h2> <p>Large language models (LLMs) like GPTs are incredibly powerful, but working with their open-ended text outputs can be challenging. This is where the Instructor library shines - it allows you to easily map LLM outputs to structured data using Python type annotations.</p> <nav class=md-post__action> <a href=../../2024/03/05/zero-cost-abstractions/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-02-18 00:00:00">2024/02/18</time></li> <li class=md-meta__item> 3 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=seamless-support-with-langsmith><a href=../../2024/02/18/seamless-support-with-langsmith/ class=toclink>Seamless Support with Langsmith</a></h2> <p>Its a common misconception that LangChain's <a href=https://www.langchain.com/langsmith>LangSmith</a> is only compatible with LangChain's models. In reality, LangSmith is a unified DevOps platform for developing, collaborating, testing, deploying, and monitoring LLM applications. In this blog we will explore how LangSmith can be used to enhance the OpenAI client alongside <code>instructor</code>.</p> <nav class=md-post__action> <a href=../../2024/02/18/seamless-support-with-langsmith/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-02-14 00:00:00">2024/02/14</time></li> <li class=md-meta__item> 1 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=free-course-on-weights-and-biases><a href=../../2024/02/14/weights-and-biases-course/ class=toclink>Free course on Weights and Biases</a></h2> <p>I just released a free course on wits and biases. It goes over the material from <a href=../../../tutorials/1-introduction/ >tutorial</a>. Check it out at <a href=https://www.wandb.courses/courses/steering-language-models>wandb.courses</a> its free and open to everyone and just under an hour long!</p> <p><a href=https://www.wandb.courses/courses/steering-language-models><img alt src=../../img/course.png></a></p> <blockquote> <p>Click the image to access the course</p> </blockquote> </div> </article> <nav class=md-pagination> </nav> </div> </div> <script>var tabs=__md_get("__tabs");if(Array.isArray(tabs))e:for(var set of document.querySelectorAll(".tabbed-set")){var tab,labels=set.querySelector(".tabbed-labels");for(tab of tabs)for(var label of labels.getElementsByTagName("label"))if(label.innerText.trim()===tab){var input=document.getElementById(label.htmlFor);input.checked=!0;continue e}}</script> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button type=button class="md-top md-icon" data-md-component=top hidden> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8v12Z"/></svg> Back to top </button> </main> <footer class=md-footer> <nav class="md-footer__inner md-grid" aria-label=Footer> <a href=../../ class="md-footer__link md-footer__link--prev" aria-label="Previous: Welcome to the Instructor Blog"> <div class="md-footer__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> </div> <div class=md-footer__title> <span class=md-footer__direction> Previous </span> <div class=md-ellipsis> Welcome to the Instructor Blog </div> </div> </a> <a href=../2023/ class="md-footer__link md-footer__link--next" aria-label="Next: 2023"> <div class=md-footer__title> <span class=md-footer__direction> Next </span> <div class=md-ellipsis> 2023 </div> </div> <div class="md-footer__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M4 11v2h12l-5.5 5.5 1.42 1.42L19.84 12l-7.92-7.92L10.5 5.5 16 11H4Z"/></svg> </div> </a> </nav> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-copyright> <div class=md-copyright__highlight> Copyright &copy; 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\ No newline at end of file
+</span></code></pre></div> <nav class=md-post__action> <a href=../../2024/03/08/simple-synthetic-data-generation/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-03-07 00:00:00">2024/03/07</time></li> <li class=md-meta__item> 4 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=structured-output-for-open-source-and-local-llms><a href=../../2024/03/07/open-source-local-structured-output-pydantic-json-openai/ class=toclink>Structured Output for Open Source and Local LLMS</a></h2> <p>Originally, Instructor facilitated API interactions solely via the OpenAI SDK, with an emphasis on function call by incorporating <a href=https://pydantic-docs.helpmanual.io/ >Pydantic</a> for structured data validation and serialization. </p> <p>As the year progressed, we expanded our toolkit by integrating <a href=../../../concepts/patching/#json-mode>JSON mode</a>, thus enhancing our adaptability to vision models and open source models. This advancement now enables us to support an extensive range of models, from <a href=https://openai.com/api/ >GPT</a> and <a href=https://mistral.ai>Mistral</a> to virtually any model accessible through <a href=https://ollama.ai>Ollama</a> and <a href=https://huggingface.co/models>Hugging Face</a>, facilitated by <a href=../../../hub/llama-cpp-python/ >llama-cpp-python</a>. For more insights into leveraging JSON mode with various models, refer back to our detailed guide on <a href=../../../concepts/patching/ >Patching</a>.</p> <p>If you want to check out a course on how to use Instructor with Pydantic, check out our course on <a href=https://www.wandb.courses/courses/steering-language-models>Steering language models towards structured outputs.</a>.</p> <nav class=md-post__action> <a href=../../2024/03/07/open-source-local-structured-output-pydantic-json-openai/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-03-05 00:00:00">2024/03/05</time></li> <li class=md-meta__item> 3 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=why-instructor-is-the-best-library-for-structured-llm-outputs><a href=../../2024/03/05/zero-cost-abstractions/ class=toclink>Why Instructor is the Best Library for Structured LLM Outputs</a></h2> <p>Large language models (LLMs) like GPTs are incredibly powerful, but working with their open-ended text outputs can be challenging. This is where the Instructor library shines - it allows you to easily map LLM outputs to structured data using Python type annotations.</p> <nav class=md-post__action> <a href=../../2024/03/05/zero-cost-abstractions/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-02-18 00:00:00">2024/02/18</time></li> <li class=md-meta__item> 3 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=seamless-support-with-langsmith><a href=../../2024/02/18/seamless-support-with-langsmith/ class=toclink>Seamless Support with Langsmith</a></h2> <p>Its a common misconception that LangChain's <a href=https://www.langchain.com/langsmith>LangSmith</a> is only compatible with LangChain's models. In reality, LangSmith is a unified DevOps platform for developing, collaborating, testing, deploying, and monitoring LLM applications. In this blog we will explore how LangSmith can be used to enhance the OpenAI client alongside <code>instructor</code>.</p> <nav class=md-post__action> <a href=../../2024/02/18/seamless-support-with-langsmith/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-02-14 00:00:00">2024/02/14</time></li> <li class=md-meta__item> 1 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=free-course-on-weights-and-biases><a href=../../2024/02/14/weights-and-biases-course/ class=toclink>Free course on Weights and Biases</a></h2> <p>I just released a free course on wits and biases. It goes over the material from <a href=../../../tutorials/1-introduction/ >tutorial</a>. Check it out at <a href=https://www.wandb.courses/courses/steering-language-models>wandb.courses</a> its free and open to everyone and just under an hour long!</p> <p><a href=https://www.wandb.courses/courses/steering-language-models><img alt src=../../img/course.png></a></p> <blockquote> <p>Click the image to access the course</p> </blockquote> <nav class=md-post__action> <a href=../../2024/02/14/weights-and-biases-course/ > Continue reading </a> </nav> </div> </article> <nav class=md-pagination> </nav> </div> </div> <script>var tabs=__md_get("__tabs");if(Array.isArray(tabs))e:for(var set of document.querySelectorAll(".tabbed-set")){var tab,labels=set.querySelector(".tabbed-labels");for(tab of tabs)for(var label of labels.getElementsByTagName("label"))if(label.innerText.trim()===tab){var input=document.getElementById(label.htmlFor);input.checked=!0;continue e}}</script> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button type=button class="md-top md-icon" data-md-component=top hidden> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8v12Z"/></svg> Back to top </button> </main> <footer class=md-footer> <nav class="md-footer__inner md-grid" aria-label=Footer> <a href=../../ class="md-footer__link md-footer__link--prev" aria-label="Previous: Welcome to the Instructor Blog"> <div class="md-footer__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> </div> <div class=md-footer__title> <span class=md-footer__direction> Previous </span> <div class=md-ellipsis> Welcome to the Instructor Blog </div> </div> </a> <a href=../2023/ class="md-footer__link md-footer__link--next" aria-label="Next: 2023"> <div class=md-footer__title> <span class=md-footer__direction> Next </span> <div class=md-ellipsis> 2023 </div> </div> <div class="md-footer__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M4 11v2h12l-5.5 5.5 1.42 1.42L19.84 12l-7.92-7.92L10.5 5.5 16 11H4Z"/></svg> </div> </a> </nav> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-copyright> <div class=md-copyright__highlight> Copyright &copy; 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data-md-scrollfix> <li class=md-nav__item> <a href=archive/2024/ class=md-nav__link> <span class=md-ellipsis> 2024 </span> </a> </li> <li class=md-nav__item> <a href=archive/2023/ class=md-nav__link> <span class=md-ellipsis> 2023 </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#advanced-topics class=md-nav__link> <span class=md-ellipsis> Advanced Topics </span> </a> </li> <li class=md-nav__item> <a href=#learning-python class=md-nav__link> <span class=md-ellipsis> Learning Python </span> </a> </li> <li class=md-nav__item> <a href=#integrations class=md-nav__link> <span class=md-ellipsis> Integrations </span> </a> </li> <li class=md-nav__item> <a href=#media class=md-nav__link> <span class=md-ellipsis> Media </span> </a> </li> <li class=md-nav__item> <a href=#simple-synthetic-data-generation class=md-nav__link> <span class=md-ellipsis> Simple Synthetic Data Generation </span> </a> </li> <li class=md-nav__item> <a href=#structured-output-for-open-source-and-local-llms class=md-nav__link> <span class=md-ellipsis> Structured Output for Open Source and Local LLMS </span> </a> </li> <li class=md-nav__item> <a href=#why-instructor-is-the-best-library-for-structured-llm-outputs class=md-nav__link> <span class=md-ellipsis> Why Instructor is the Best Library for Structured LLM Outputs </span> </a> </li> <li class=md-nav__item> <a href=#seamless-support-with-langsmith class=md-nav__link> <span class=md-ellipsis> Seamless Support with Langsmith </span> </a> </li> <li class=md-nav__item> <a href=#free-course-on-weights-and-biases class=md-nav__link> <span class=md-ellipsis> Free course on Weights and Biases </span> </a> </li> <li class=md-nav__item> <a href=#introduction-to-caching-in-python class=md-nav__link> <span class=md-ellipsis> Introduction to Caching in Python </span> </a> </li> <li class=md-nav__item> <a href=#generators-and-llm-streaming class=md-nav__link> <span class=md-ellipsis> Generators and LLM Streaming </span> </a> </li> <li class=md-nav__item> <a href=#verifying-llm-citations-with-pydantic class=md-nav__link> <span class=md-ellipsis> Verifying LLM Citations with Pydantic </span> </a> </li> <li class=md-nav__item> <a href=#batch-processing-openai-using-asyncio-and-instructor-with-python class=md-nav__link> <span class=md-ellipsis> Batch Processing OpenAI using asyncio and Instructor with Python </span> </a> </li> <li class=md-nav__item> <a href=#smarter-summaries-w-finetuning-gpt-35-and-chain-of-density class=md-nav__link> <span class=md-ellipsis> Smarter Summaries w/ Finetuning GPT-3.5 and Chain of Density </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <div class=md-content__inner> <header class=md-typeset> <h1 id=welcome-to-the-instructor-blog>Welcome to the Instructor Blog<a class=headerlink href=#welcome-to-the-instructor-blog title="Permanent link">&para;</a></h1> <p>The goal of the blog is to capture some content that does not neatly fit within documentation or the cookbooks.</p> <h2 id=advanced-topics>Advanced Topics<a class=headerlink href=#advanced-topics title="Permanent link">&para;</a></h2> <ol> <li><a href=2023/09/17/rag-is-more-than-just-embedding-search/ >What is Query Understanding, how does it go beyond embeddings?</a></li> <li><a href=2023/11/05/chain-of-density/ >How can one achieve GPT-4 level summaries using GPT-3.5-turbo?</a></li> <li><a href=2023/10/23/good-llm-validation-is-just-good-validation/ >What are the basics of Guardrails and Validation in AI models?</a></li> <li><a href=2023/11/18/validate-citations/ >How does one validate citations in AI-generated content?</a></li> <li><a href=2023/10/17/enhancing-python-functions-with-instructor-a-guide-to-fine-tuning-and-distillation/ >What are the methods and benefits of fine-tuning and distillation in AI models?</a></li> </ol> <h2 id=learning-python>Learning Python<a class=headerlink href=#learning-python title="Permanent link">&para;</a></h2> <ul> <li><a href=2023/11/26/python-caching/ >How can I effectively cache my functions in Python?</a></li> <li><a href=2023/11/13/learn-async/ >What are the fundamentals of batch processing with async in Python?</a></li> <li><a href=2023/11/26/python-generators-and-llm-streaming/ >How can I stream models to improve latency?</a></li> </ul> <h2 id=integrations>Integrations<a class=headerlink href=#integrations title="Permanent link">&para;</a></h2> <ul> <li><a href=../hub/ollama/ >Ollama</a></li> <li><a href=../hub/llama-cpp-python/ >llama-cpp-python</a></li> <li><a href=../hub/anyscale/ >Anyscale</a></li> <li><a href=../hub/together/ >Together Compute</a></li> </ul> <h2 id=media>Media<a class=headerlink href=#media title="Permanent link">&para;</a></h2> <ul> <li><a href="https://www.wandb.courses/courses/steering-language-models?x=1">Course: Structured Outputs w/ Instructor</a></li> <li><a href=2023/11/02/ai-engineer-keynote-pydantic-is-all-you-need/ >Keynote: Pydantic is all you need</a></li> </ul> </header> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-03-08 00:00:00">2024/03/08</time></li> <li class=md-meta__item> 3 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=simple-synthetic-data-generation><a href=2024/03/08/simple-synthetic-data-generation/ class=toclink>Simple Synthetic Data Generation</a></h2> <p>What that people have been using instructor for is to generate synthetic data rather than extracting data itself. We can even use the J-Schemo extra fields to give specific examples to control how we generate data. </p> <p>Consider the example below. We'll likely generate very simple names.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>typing</span> <span class=kn>import</span> <span class=n>Iterable</span>
@@ -153,4 +153,4 @@
 </span><span id=__span-3-34><a id=__codelineno-3-34 name=__codelineno-3-34 href=#__codelineno-3-34></a><span class=sd>    name=&#39;Marie&#39; age=27</span>
 </span><span id=__span-3-35><a id=__codelineno-3-35 name=__codelineno-3-35 href=#__codelineno-3-35></a><span class=sd>    name=&#39;Luc&#39; age=35</span>
 </span><span id=__span-3-36><a id=__codelineno-3-36 name=__codelineno-3-36 href=#__codelineno-3-36></a><span class=sd>    &quot;&quot;&quot;</span>
-</span></code></pre></div> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-03-07 00:00:00">2024/03/07</time></li> <li class=md-meta__item> 4 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=structured-output-for-open-source-and-local-llms><a href=2024/03/07/open-source-local-structured-output-pydantic-json-openai/ class=toclink>Structured Output for Open Source and Local LLMS</a></h2> <p>Originally, Instructor facilitated API interactions solely via the OpenAI SDK, with an emphasis on function call by incorporating <a href=https://pydantic-docs.helpmanual.io/ >Pydantic</a> for structured data validation and serialization. </p> <p>As the year progressed, we expanded our toolkit by integrating <a href=../concepts/patching/#json-mode>JSON mode</a>, thus enhancing our adaptability to vision models and open source models. This advancement now enables us to support an extensive range of models, from <a href=https://openai.com/api/ >GPT</a> and <a href=https://mistral.ai>Mistral</a> to virtually any model accessible through <a href=https://ollama.ai>Ollama</a> and <a href=https://huggingface.co/models>Hugging Face</a>, facilitated by <a href=../hub/llama-cpp-python/ >llama-cpp-python</a>. For more insights into leveraging JSON mode with various models, refer back to our detailed guide on <a href=../concepts/patching/ >Patching</a>.</p> <p>If you want to check out a course on how to use Instructor with Pydantic, check out our course on <a href=https://www.wandb.courses/courses/steering-language-models>Steering language models towards structured outputs.</a>.</p> <nav class=md-post__action> <a href=2024/03/07/open-source-local-structured-output-pydantic-json-openai/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-03-05 00:00:00">2024/03/05</time></li> <li class=md-meta__item> 3 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=why-instructor-is-the-best-library-for-structured-llm-outputs><a href=2024/03/05/zero-cost-abstractions/ class=toclink>Why Instructor is the Best Library for Structured LLM Outputs</a></h2> <p>Large language models (LLMs) like GPTs are incredibly powerful, but working with their open-ended text outputs can be challenging. This is where the Instructor library shines - it allows you to easily map LLM outputs to structured data using Python type annotations.</p> <nav class=md-post__action> <a href=2024/03/05/zero-cost-abstractions/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-02-18 00:00:00">2024/02/18</time></li> <li class=md-meta__item> 3 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=seamless-support-with-langsmith><a href=2024/02/18/seamless-support-with-langsmith/ class=toclink>Seamless Support with Langsmith</a></h2> <p>Its a common misconception that LangChain's <a href=https://www.langchain.com/langsmith>LangSmith</a> is only compatible with LangChain's models. In reality, LangSmith is a unified DevOps platform for developing, collaborating, testing, deploying, and monitoring LLM applications. In this blog we will explore how LangSmith can be used to enhance the OpenAI client alongside <code>instructor</code>.</p> <nav class=md-post__action> <a href=2024/02/18/seamless-support-with-langsmith/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-02-14 00:00:00">2024/02/14</time></li> <li class=md-meta__item> 1 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=free-course-on-weights-and-biases><a href=2024/02/14/weights-and-biases-course/ class=toclink>Free course on Weights and Biases</a></h2> <p>I just released a free course on wits and biases. It goes over the material from <a href=../tutorials/1-introduction/ >tutorial</a>. Check it out at <a href=https://www.wandb.courses/courses/steering-language-models>wandb.courses</a> its free and open to everyone and just under an hour long!</p> <p><a href=https://www.wandb.courses/courses/steering-language-models><img alt src=img/course.png></a></p> <blockquote> <p>Click the image to access the course</p> </blockquote> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-26 00:00:00">2023/11/26</time></li> <li class=md-meta__item> 7 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=introduction-to-caching-in-python><a href=2023/11/26/python-caching/ class=toclink>Introduction to Caching in Python</a></h2> <blockquote> <p>Instructor makes working with language models easy, but they are still computationally expensive.</p> </blockquote> <p>Today, we're diving into optimizing instructor code while maintaining the excellent DX offered by <a href=https://docs.pydantic.dev/latest/ >Pydantic</a> models. We'll tackle the challenges of caching Pydantic models, typically incompatible with <code>pickle</code>, and explore solutions that use <code>decorators</code> like <code>functools.cache</code>. Then, we'll craft custom decorators with <code>diskcache</code> and <code>redis</code> to support persistent caching and distributed systems.</p> <nav class=md-post__action> <a href=2023/11/26/python-caching/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-26 00:00:00">2023/11/26</time></li> <li class=md-meta__item> 6 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=generators-and-llm-streaming><a href=2023/11/26/python-generators-and-llm-streaming/ class=toclink>Generators and LLM Streaming</a></h2> <p>Latency is crucial, especially in eCommerce and newer chat applications like ChatGPT. Streaming is the solution that enables us to enhance the user experience without the need for faster response times.</p> <p>And what makes streaming possible? Generators!</p> <nav class=md-post__action> <a href=2023/11/26/python-generators-and-llm-streaming/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-18 00:00:00">2023/11/18</time></li> <li class=md-meta__item> 4 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=verifying-llm-citations-with-pydantic><a href=2023/11/18/validate-citations/ class=toclink>Verifying LLM Citations with Pydantic</a></h2> <p>Ensuring the accuracy of information is crucial. This blog post explores how Pydantic's powerful and flexible validators can enhance data accuracy through citation verification.</p> <p>We'll start with using a simple substring check to verify citations. Then we'll use <code>instructor</code> itself to power an LLM to verify citations and align answers with the given citations. Finally, we'll explore how we can use these techniques to generate a dataset of accurate responses.</p> <nav class=md-post__action> <a href=2023/11/18/validate-citations/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-13 00:00:00">2023/11/13</time></li> <li class=md-meta__item> 6 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=batch-processing-openai-using-asyncio-and-instructor-with-python><a href=2023/11/13/learn-async/ class=toclink>Batch Processing OpenAI using <code>asyncio</code> and <code>Instructor</code> with Python</a></h2> <p>Today, I will introduce you to various approaches for using asyncio in Python. We will apply this to batch process data using <code>instructor</code> and learn how to use <code>asyncio.gather</code> and <code>asyncio.as_completed</code> for concurrent data processing. Additionally, we will explore how to limit the number of concurrent requests to a server using <code>asyncio.Semaphore</code>.</p> <nav class=md-post__action> <a href=2023/11/13/learn-async/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src=https://pbs.twimg.com/profile_images/1524186822389026816/sWRHRIkY_400x400.jpg alt="Ivan Leo"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-05 00:00:00">2023/11/05</time></li> <li class=md-meta__item> 15 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=smarter-summaries-w-finetuning-gpt-35-and-chain-of-density><a href=2023/11/05/chain-of-density/ class=toclink>Smarter Summaries w/ Finetuning GPT-3.5 and Chain of Density</a></h2> <blockquote> <p>Discover how to distil an iterative method like Chain Of Density into a single finetuned model using Instructor</p> </blockquote> <p>In this article, we'll guide you through implementing the original Chain of Density method using Instructor, then show how to distile a GPT 3.5 model to match GPT-4's iterative summarization capabilities. Using these methods were able to decrease latency by 20x, reduce costs by 50x and maintain entity density.</p> <p>By the end you'll end up with a GPT 3.5 model, (fine-tuned using Instructor's great tooling), capable of producing summaries that rival the effectiveness of Chain of Density <a href=https://arxiv.org/abs/2309.04269>[Adams et al. (2023)]</a>. As always, all code is readily available in our <code>examples/chain-of-density</code> folder in our repo for your reference.</p> <nav class=md-post__action> <a href=2023/11/05/chain-of-density/ > Continue reading </a> </nav> </div> </article> <nav class=md-pagination> <span class=md-pagination__current>1</span> <a href=page/2/ class=md-pagination__link>2</a> </nav> </div> </div> <script>var tabs=__md_get("__tabs");if(Array.isArray(tabs))e:for(var set of document.querySelectorAll(".tabbed-set")){var tab,labels=set.querySelector(".tabbed-labels");for(tab of tabs)for(var label of labels.getElementsByTagName("label"))if(label.innerText.trim()===tab){var input=document.getElementById(label.htmlFor);input.checked=!0;continue e}}</script> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button type=button class="md-top md-icon" data-md-component=top hidden> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8v12Z"/></svg> Back to top </button> </main> <footer class=md-footer> <nav class="md-footer__inner md-grid" aria-label=Footer> <a href=../examples/examples/ class="md-footer__link md-footer__link--prev" aria-label="Previous: Including Examples in Prompt"> <div class="md-footer__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> </div> <div class=md-footer__title> <span class=md-footer__direction> Previous </span> <div class=md-ellipsis> Including Examples in Prompt </div> </div> </a> <a href=archive/2024/ class="md-footer__link md-footer__link--next" aria-label="Next: 2024"> <div class=md-footer__title> <span class=md-footer__direction> Next </span> <div class=md-ellipsis> 2024 </div> </div> <div class="md-footer__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M4 11v2h12l-5.5 5.5 1.42 1.42L19.84 12l-7.92-7.92L10.5 5.5 16 11H4Z"/></svg> </div> </a> </nav> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-copyright> <div class=md-copyright__highlight> Copyright &copy; 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+</span></code></pre></div> <nav class=md-post__action> <a href=2024/03/08/simple-synthetic-data-generation/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-03-07 00:00:00">2024/03/07</time></li> <li class=md-meta__item> 4 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=structured-output-for-open-source-and-local-llms><a href=2024/03/07/open-source-local-structured-output-pydantic-json-openai/ class=toclink>Structured Output for Open Source and Local LLMS</a></h2> <p>Originally, Instructor facilitated API interactions solely via the OpenAI SDK, with an emphasis on function call by incorporating <a href=https://pydantic-docs.helpmanual.io/ >Pydantic</a> for structured data validation and serialization. </p> <p>As the year progressed, we expanded our toolkit by integrating <a href=../concepts/patching/#json-mode>JSON mode</a>, thus enhancing our adaptability to vision models and open source models. This advancement now enables us to support an extensive range of models, from <a href=https://openai.com/api/ >GPT</a> and <a href=https://mistral.ai>Mistral</a> to virtually any model accessible through <a href=https://ollama.ai>Ollama</a> and <a href=https://huggingface.co/models>Hugging Face</a>, facilitated by <a href=../hub/llama-cpp-python/ >llama-cpp-python</a>. For more insights into leveraging JSON mode with various models, refer back to our detailed guide on <a href=../concepts/patching/ >Patching</a>.</p> <p>If you want to check out a course on how to use Instructor with Pydantic, check out our course on <a href=https://www.wandb.courses/courses/steering-language-models>Steering language models towards structured outputs.</a>.</p> <nav class=md-post__action> <a href=2024/03/07/open-source-local-structured-output-pydantic-json-openai/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-03-05 00:00:00">2024/03/05</time></li> <li class=md-meta__item> 3 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=why-instructor-is-the-best-library-for-structured-llm-outputs><a href=2024/03/05/zero-cost-abstractions/ class=toclink>Why Instructor is the Best Library for Structured LLM Outputs</a></h2> <p>Large language models (LLMs) like GPTs are incredibly powerful, but working with their open-ended text outputs can be challenging. This is where the Instructor library shines - it allows you to easily map LLM outputs to structured data using Python type annotations.</p> <nav class=md-post__action> <a href=2024/03/05/zero-cost-abstractions/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-02-18 00:00:00">2024/02/18</time></li> <li class=md-meta__item> 3 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=seamless-support-with-langsmith><a href=2024/02/18/seamless-support-with-langsmith/ class=toclink>Seamless Support with Langsmith</a></h2> <p>Its a common misconception that LangChain's <a href=https://www.langchain.com/langsmith>LangSmith</a> is only compatible with LangChain's models. In reality, LangSmith is a unified DevOps platform for developing, collaborating, testing, deploying, and monitoring LLM applications. In this blog we will explore how LangSmith can be used to enhance the OpenAI client alongside <code>instructor</code>.</p> <nav class=md-post__action> <a href=2024/02/18/seamless-support-with-langsmith/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2024-02-14 00:00:00">2024/02/14</time></li> <li class=md-meta__item> 1 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=free-course-on-weights-and-biases><a href=2024/02/14/weights-and-biases-course/ class=toclink>Free course on Weights and Biases</a></h2> <p>I just released a free course on wits and biases. It goes over the material from <a href=../tutorials/1-introduction/ >tutorial</a>. Check it out at <a href=https://www.wandb.courses/courses/steering-language-models>wandb.courses</a> its free and open to everyone and just under an hour long!</p> <p><a href=https://www.wandb.courses/courses/steering-language-models><img alt src=img/course.png></a></p> <blockquote> <p>Click the image to access the course</p> </blockquote> <nav class=md-post__action> <a href=2024/02/14/weights-and-biases-course/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-26 00:00:00">2023/11/26</time></li> <li class=md-meta__item> 7 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=introduction-to-caching-in-python><a href=2023/11/26/python-caching/ class=toclink>Introduction to Caching in Python</a></h2> <blockquote> <p>Instructor makes working with language models easy, but they are still computationally expensive.</p> </blockquote> <p>Today, we're diving into optimizing instructor code while maintaining the excellent DX offered by <a href=https://docs.pydantic.dev/latest/ >Pydantic</a> models. We'll tackle the challenges of caching Pydantic models, typically incompatible with <code>pickle</code>, and explore solutions that use <code>decorators</code> like <code>functools.cache</code>. Then, we'll craft custom decorators with <code>diskcache</code> and <code>redis</code> to support persistent caching and distributed systems.</p> <nav class=md-post__action> <a href=2023/11/26/python-caching/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-26 00:00:00">2023/11/26</time></li> <li class=md-meta__item> 6 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=generators-and-llm-streaming><a href=2023/11/26/python-generators-and-llm-streaming/ class=toclink>Generators and LLM Streaming</a></h2> <p>Latency is crucial, especially in eCommerce and newer chat applications like ChatGPT. Streaming is the solution that enables us to enhance the user experience without the need for faster response times.</p> <p>And what makes streaming possible? Generators!</p> <nav class=md-post__action> <a href=2023/11/26/python-generators-and-llm-streaming/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-18 00:00:00">2023/11/18</time></li> <li class=md-meta__item> 4 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=verifying-llm-citations-with-pydantic><a href=2023/11/18/validate-citations/ class=toclink>Verifying LLM Citations with Pydantic</a></h2> <p>Ensuring the accuracy of information is crucial. This blog post explores how Pydantic's powerful and flexible validators can enhance data accuracy through citation verification.</p> <p>We'll start with using a simple substring check to verify citations. Then we'll use <code>instructor</code> itself to power an LLM to verify citations and align answers with the given citations. Finally, we'll explore how we can use these techniques to generate a dataset of accurate responses.</p> <nav class=md-post__action> <a href=2023/11/18/validate-citations/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-13 00:00:00">2023/11/13</time></li> <li class=md-meta__item> 6 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=batch-processing-openai-using-asyncio-and-instructor-with-python><a href=2023/11/13/learn-async/ class=toclink>Batch Processing OpenAI using <code>asyncio</code> and <code>Instructor</code> with Python</a></h2> <p>Today, I will introduce you to various approaches for using asyncio in Python. We will apply this to batch process data using <code>instructor</code> and learn how to use <code>asyncio.gather</code> and <code>asyncio.as_completed</code> for concurrent data processing. Additionally, we will explore how to limit the number of concurrent requests to a server using <code>asyncio.Semaphore</code>.</p> <nav class=md-post__action> <a href=2023/11/13/learn-async/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src=https://pbs.twimg.com/profile_images/1524186822389026816/sWRHRIkY_400x400.jpg alt="Ivan Leo"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-05 00:00:00">2023/11/05</time></li> <li class=md-meta__item> 15 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=smarter-summaries-w-finetuning-gpt-35-and-chain-of-density><a href=2023/11/05/chain-of-density/ class=toclink>Smarter Summaries w/ Finetuning GPT-3.5 and Chain of Density</a></h2> <blockquote> <p>Discover how to distil an iterative method like Chain Of Density into a single finetuned model using Instructor</p> </blockquote> <p>In this article, we'll guide you through implementing the original Chain of Density method using Instructor, then show how to distile a GPT 3.5 model to match GPT-4's iterative summarization capabilities. Using these methods were able to decrease latency by 20x, reduce costs by 50x and maintain entity density.</p> <p>By the end you'll end up with a GPT 3.5 model, (fine-tuned using Instructor's great tooling), capable of producing summaries that rival the effectiveness of Chain of Density <a href=https://arxiv.org/abs/2309.04269>[Adams et al. (2023)]</a>. As always, all code is readily available in our <code>examples/chain-of-density</code> folder in our repo for your reference.</p> <nav class=md-post__action> <a href=2023/11/05/chain-of-density/ > Continue reading </a> </nav> </div> </article> <nav class=md-pagination> <span class=md-pagination__current>1</span> <a href=page/2/ class=md-pagination__link>2</a> </nav> </div> </div> <script>var tabs=__md_get("__tabs");if(Array.isArray(tabs))e:for(var set of document.querySelectorAll(".tabbed-set")){var tab,labels=set.querySelector(".tabbed-labels");for(tab of tabs)for(var label of labels.getElementsByTagName("label"))if(label.innerText.trim()===tab){var input=document.getElementById(label.htmlFor);input.checked=!0;continue e}}</script> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button type=button class="md-top md-icon" data-md-component=top hidden> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8v12Z"/></svg> Back to top </button> </main> <footer class=md-footer> <nav class="md-footer__inner md-grid" aria-label=Footer> <a href=../examples/examples/ class="md-footer__link md-footer__link--prev" aria-label="Previous: Including Examples in Prompt"> <div class="md-footer__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg> </div> <div class=md-footer__title> <span class=md-footer__direction> Previous </span> <div class=md-ellipsis> Including Examples in Prompt </div> </div> </a> <a href=archive/2024/ class="md-footer__link md-footer__link--next" aria-label="Next: 2024"> <div class=md-footer__title> <span class=md-footer__direction> Next </span> <div class=md-ellipsis> 2024 </div> </div> <div class="md-footer__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M4 11v2h12l-5.5 5.5 1.42 1.42L19.84 12l-7.92-7.92L10.5 5.5 16 11H4Z"/></svg> </div> </a> </nav> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-copyright> <div class=md-copyright__highlight> Copyright &copy; 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class=md-nav__title for=__nav_3_2> <span class="md-nav__icon md-icon"></span> Archive </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../archive/2024/ class=md-nav__link> <span class=md-ellipsis> 2024 </span> </a> </li> <li class=md-nav__item> <a href=../../archive/2023/ class=md-nav__link> <span class=md-ellipsis> 2023 </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#ai-engineer-keynote-pydantic-is-all-you-need class=md-nav__link> <span class=md-ellipsis> AI Engineer Keynote: Pydantic is all you need </span> </a> </li> <li class=md-nav__item> <a href=#good-llm-validation-is-just-good-validation class=md-nav__link> <span class=md-ellipsis> Good LLM Validation is Just Good Validation </span> </a> </li> <li class=md-nav__item> <a href=#enhancing-python-functions-with-instructor-a-guide-to-fine-tuning-and-distillation class=md-nav__link> <span class=md-ellipsis> Enhancing Python Functions with Instructor: A Guide to Fine-Tuning and Distillation </span> </a> </li> <li class=md-nav__item> <a href=#rag-is-more-than-just-embedding-search class=md-nav__link> <span class=md-ellipsis> RAG is more than just embedding search </span> </a> </li> <li class=md-nav__item> <a href=#generating-structured-output-json-from-llms class=md-nav__link> <span class=md-ellipsis> Generating Structured Output / JSON from LLMs </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <div class=md-content__inner> <header class=md-typeset> <h1 id=welcome-to-the-instructor-blog>Welcome to the Instructor Blog<a class=headerlink href=#welcome-to-the-instructor-blog title="Permanent link">&para;</a></h1> </header> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-11-02 00:00:00">2023/11/02</time></li> <li class=md-meta__item> 1 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=ai-engineer-keynote-pydantic-is-all-you-need><a href=../../2023/11/02/ai-engineer-keynote-pydantic-is-all-you-need/ class=toclink>AI Engineer Keynote: Pydantic is all you need</a></h2> <p><a href="https://www.youtube.com/watch?v=yj-wSRJwrrc"><img alt="Pydantic is all you need" src=https://img.youtube.com/vi/yj-wSRJwrrc/0.jpg></a></p> <p><a href="https://www.youtube.com/watch?v=yj-wSRJwrrc">Click here to watch the full talk</a></p> <nav class=md-post__action> <a href=../../2023/11/02/ai-engineer-keynote-pydantic-is-all-you-need/ > Continue reading </a> </nav> </div> </article> <article class="md-post md-post--excerpt"> <header class=md-post__header> <nav class="md-post__authors md-typeset"> <span class=md-author> <img src="https://avatars.githubusercontent.com/u/4852235?v=4" alt="Jason Liu"> </span> </nav> <div class="md-post__meta md-meta"> <ul class=md-meta__list> <li class=md-meta__item> <time datetime="2023-10-23 00:00:00">2023/10/23</time></li> <li class=md-meta__item> 11 min read </li> </ul> </div> </header> <div class="md-post__content md-typeset"> <h2 id=good-llm-validation-is-just-good-validation><a href=../../2023/10/23/good-llm-validation-is-just-good-validation/ class=toclink>Good LLM Validation is Just Good Validation</a></h2> <blockquote> <p>What if your validation logic could learn and adapt like a human, but operate at the speed of software? This is the future of validation and it's already here.</p> </blockquote> <p>Validation is the backbone of reliable software. But traditional methods are static, rule-based, and can't adapt to new challenges. This post looks at how to bring dynamic, machine learning-driven validation into your software stack using Python libraries like <code>Pydantic</code> and <code>Instructor</code>. We validate these outputs using a validation function which conforms to the structure seen below.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-22-1><a id=__codelineno-22-1 name=__codelineno-22-1 href=#__codelineno-22-1></a><span class=k>def</span> <span class=nf>validation_function</span><span class=p>(</span><span class=n>value</span><span class=p>):</span>
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class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#creating-a-fine-tuning-job class=md-nav__link> <span class=md-ellipsis> Creating a Fine-Tuning Job </span> </a> <nav class=md-nav aria-label="Creating a Fine-Tuning Job"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#view-jobs-options class=md-nav__link> <span class=md-ellipsis> View Jobs Options </span> </a> </li> <li class=md-nav__item> <a href=#create-from-file class=md-nav__link> <span class=md-ellipsis> Create from File </span> </a> <nav class=md-nav aria-label="Create from File"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#usage class=md-nav__link> <span class=md-ellipsis> Usage </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#create-from-id class=md-nav__link> <span class=md-ellipsis> Create from ID </span> </a> <nav class=md-nav aria-label="Create from ID"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#usage_1 class=md-nav__link> <span class=md-ellipsis> Usage </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#viewing-files-and-jobs class=md-nav__link> <span class=md-ellipsis> Viewing Files and Jobs </span> </a> <nav class=md-nav aria-label="Viewing Files and Jobs"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#viewing-jobs class=md-nav__link> <span class=md-ellipsis> Viewing Jobs </span> </a> </li> <li class=md-nav__item> <a href=#viewing-files class=md-nav__link> <span class=md-ellipsis> Viewing Files </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/cli/finetune.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/cli/finetune.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=using-the-command-line-interface>Using the Command Line Interface<a class=headerlink href=#using-the-command-line-interface title="Permanent link">&para;</a></h1> <p>The instructor CLI provides functionalities for managing fine-tuning jobs on OpenAI.</p> <div class="admonition warning"> <p class=admonition-title>Incomplete API</p> </div> <p>The CLI is still under development and does not yet support all features of the API. If you would like to use a feature that is not yet supported, please consider using the contributing to our library <a href=https://www.github.com/jxnl/instructor>jxnl/instructor</a> instead.</p> <div class="language-text highlight"><pre><span></span><code>!!! note &quot;Low hanging fruit&quot;
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md-icon"></span> CLI Reference </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=finetune/ class=md-nav__link> <span class=md-ellipsis> Finetuning GPT-3.5 </span> </a> </li> <li class=md-nav__item> <a href=usage/ class=md-nav__link> <span class=md-ellipsis> Usage Tracking </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#quick-start class=md-nav__link> <span class=md-ellipsis> Quick Start </span> </a> </li> <li class=md-nav__item> <a href=#installation-setup class=md-nav__link> <span class=md-ellipsis> Installation &amp; Setup </span> </a> </li> <li class=md-nav__item> <a href=#features class=md-nav__link> <span class=md-ellipsis> Features </span> </a> </li> <li class=md-nav__item> <a href=#support-contribution class=md-nav__link> <span class=md-ellipsis> Support &amp; Contribution </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/cli/index.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/cli/index.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=instructor-cli>Instructor CLI<a class=headerlink href=#instructor-cli title="Permanent link">&para;</a></h1> <p>Welcome to the Instructor Command-Line Interface (CLI), a tool designed to ease your experience with the OpenAI API. Whether it's tracking your API usage or fine-tuning your models, Instructor CLI is your go-to utility.</p> <hr> <h2 id=quick-start>Quick Start<a class=headerlink href=#quick-start title="Permanent link">&para;</a></h2> <p>First things first: make sure your OpenAI API key is set as an environment variable. The CLI will use this for authenticating your requests to OpenAI's services.</p> <p>You can set the API key in your terminal as follows:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=nb>export</span><span class=w> </span><span class=nv>OPENAI_API_KEY</span><span class=o>=</span><span class=s2>&quot;your-api-key-here&quot;</span>
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class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/cli/usage.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/cli/usage.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=using-the-openai-api-usage-cli>Using the OpenAI API Usage CLI<a class=headerlink href=#using-the-openai-api-usage-cli title="Permanent link">&para;</a></h1> <p>The OpenAI API Usage CLI tool provides functionalities for monitoring your OpenAI API usage, breaking it down by model, date, and cost.</p> <h2 id=monitoring-api-usage>Monitoring API Usage<a class=headerlink href=#monitoring-api-usage title="Permanent link">&para;</a></h2> <h3 id=view-usage-options>View Usage Options<a class=headerlink href=#view-usage-options title="Permanent link">&para;</a></h3> <div class="language-sh highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>$<span class=w> </span>instructor<span class=w> </span>usage<span class=w> </span>--help
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diff --git a/concepts/caching/index.html b/concepts/caching/index.html
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@@ -1,4 +1,4 @@
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class=md-nav__link> <span class=md-ellipsis> 2. diskcache for Persistent, Large Data Caching </span> </a> </li> <li class=md-nav__item> <a href=#2-redis-caching-decorator-for-distributed-systems class=md-nav__link> <span class=md-ellipsis> 2. Redis Caching Decorator for Distributed Systems </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../logging/ class=md-nav__link> <span class=md-ellipsis> Logging </span> </a> </li> <li class=md-nav__item> <a href=../distillation/ class=md-nav__link> <span class=md-ellipsis> Distillation </span> </a> </li> <li class=md-nav__item> <a href=../union/ class=md-nav__link> <span class=md-ellipsis> Union </span> </a> </li> <li class=md-nav__item> <a href=../alias/ class=md-nav__link> <span class=md-ellipsis> Alias </span> </a> </li> <li class=md-nav__item> <a href=../enums/ class=md-nav__link> <span class=md-ellipsis> Enums </span> </a> </li> <li class=md-nav__item> <a href=../typeadapter/ class=md-nav__link> <span class=md-ellipsis> Type Adapter </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#1-functoolscache-for-simple-in-memory-caching class=md-nav__link> <span class=md-ellipsis> 1. functools.cache for Simple In-Memory Caching </span> </a> </li> <li class=md-nav__item> <a href=#2-diskcache-for-persistent-large-data-caching class=md-nav__link> <span class=md-ellipsis> 2. diskcache for Persistent, Large Data Caching </span> </a> </li> <li class=md-nav__item> <a href=#2-redis-caching-decorator-for-distributed-systems class=md-nav__link> <span class=md-ellipsis> 2. Redis Caching Decorator for Distributed Systems </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/caching.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/caching.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1>Caching</h1> <p>If you want to learn more about concepts in caching and how to use them in your own projects, check out our <a href=../../blog/2023/11/26/python-caching/ >blog</a> on the topic.</p> <h2 id=1-functoolscache-for-simple-in-memory-caching>1. <code>functools.cache</code> for Simple In-Memory Caching<a class=headerlink href=#1-functoolscache-for-simple-in-memory-caching title="Permanent link">&para;</a></h2> <p><strong>When to Use</strong>: Ideal for functions with immutable arguments, called repeatedly with the same parameters in small to medium-sized applications. This makes sense when we might be reusing the same data within a single session. or in an application where we don't need to persist the cache between sessions.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>time</span>
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href=#the-challenges-in-function-level-fine-tuning class=md-nav__link> <span class=md-ellipsis> The Challenges in Function-Level Fine-Tuning </span> </a> </li> <li class=md-nav__item> <a href=#the-role-of-instructions-in-simplifying-the-fine-tuning-process class=md-nav__link> <span class=md-ellipsis> The Role of Instructions in Simplifying the Fine-Tuning Process </span> </a> </li> <li class=md-nav__item> <a href=#how-to-implement-instructions-in-your-code class=md-nav__link> <span class=md-ellipsis> How to Implement Instructions in Your Code </span> </a> </li> <li class=md-nav__item> <a href=#quick-start-how-to-use-instructors-distillation-feature class=md-nav__link> <span class=md-ellipsis> Quick Start: How to Use Instructor's Distillation Feature </span> </a> </li> <li class=md-nav__item> <a href=#the-intricacies-of-fine-tuning-language-models class=md-nav__link> <span class=md-ellipsis> The Intricacies of Fine-tuning Language Models </span> </a> </li> <li class=md-nav__item> <a href=#why-instructor-and-distillation-are-game-changers class=md-nav__link> <span class=md-ellipsis> Why Instructor and Distillation are Game Changers </span> </a> </li> <li class=md-nav__item> <a href=#role-of-instructor-in-simplifying-fine-tuning class=md-nav__link> <span class=md-ellipsis> Role of Instructor in Simplifying Fine-Tuning </span> </a> </li> <li class=md-nav__item> <a href=#logging-output-and-running-a-finetune class=md-nav__link> <span class=md-ellipsis> Logging Output and Running a Finetune </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../union/ class=md-nav__link> <span class=md-ellipsis> Union </span> </a> </li> <li class=md-nav__item> <a href=../alias/ class=md-nav__link> <span class=md-ellipsis> Alias </span> </a> </li> <li class=md-nav__item> <a href=../enums/ class=md-nav__link> <span class=md-ellipsis> Enums </span> </a> </li> <li class=md-nav__item> <a href=../typeadapter/ class=md-nav__link> <span class=md-ellipsis> Type Adapter </span> 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Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#the-challenges-in-function-level-fine-tuning class=md-nav__link> <span class=md-ellipsis> The Challenges in Function-Level Fine-Tuning </span> </a> </li> <li class=md-nav__item> <a href=#the-role-of-instructions-in-simplifying-the-fine-tuning-process class=md-nav__link> <span class=md-ellipsis> The Role of Instructions in Simplifying the Fine-Tuning Process </span> </a> </li> <li class=md-nav__item> <a href=#how-to-implement-instructions-in-your-code class=md-nav__link> <span class=md-ellipsis> How to Implement Instructions in Your Code </span> </a> </li> <li class=md-nav__item> <a href=#quick-start-how-to-use-instructors-distillation-feature class=md-nav__link> <span class=md-ellipsis> Quick Start: How to Use Instructor's Distillation Feature </span> </a> </li> <li class=md-nav__item> <a href=#the-intricacies-of-fine-tuning-language-models class=md-nav__link> <span class=md-ellipsis> The Intricacies of Fine-tuning Language Models </span> </a> </li> <li class=md-nav__item> <a href=#why-instructor-and-distillation-are-game-changers class=md-nav__link> <span class=md-ellipsis> Why Instructor and Distillation are Game Changers </span> </a> </li> <li class=md-nav__item> <a href=#role-of-instructor-in-simplifying-fine-tuning class=md-nav__link> <span class=md-ellipsis> Role of Instructor in Simplifying Fine-Tuning </span> </a> </li> <li class=md-nav__item> <a href=#logging-output-and-running-a-finetune class=md-nav__link> <span class=md-ellipsis> Logging Output and Running a Finetune </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/distillation.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/distillation.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=distilling-python-functions-into-llm>Distilling python functions into LLM<a class=headerlink href=#distilling-python-functions-into-llm title="Permanent link">&para;</a></h1> <p><code>Instructions</code> from the <code>Instructor</code> library offers a seamless way to make language models backward compatible with existing Python functions. By employing Pydantic type hints, it not only ensures compatibility but also facilitates fine-tuning <code>gpt-3.5-turbo</code> to emulate these functions end-to-end.</p> <p>If you want to see the full example checkout <a href=https://github.com/jxnl/instructor/tree/main/examples/distilations>examples/distillation</a></p> <h2 id=the-challenges-in-function-level-fine-tuning>The Challenges in Function-Level Fine-Tuning<a class=headerlink href=#the-challenges-in-function-level-fine-tuning title="Permanent link">&para;</a></h2> <p>Replicating the behavior of a Python function in a language model involves intricate data preparation. For instance, teaching a model to execute three-digit multiplication is not as trivial as implementing <code>def f(a, b): return a * b</code>. OpenAI's fine-tuning script coupled with their function calling utility provides a structured output, thereby simplifying the data collection process. Additionally, this eliminates the need for passing the schema to the model, thus conserving tokens.</p> <h2 id=the-role-of-instructions-in-simplifying-the-fine-tuning-process>The Role of <code>Instructions</code> in Simplifying the Fine-Tuning Process<a class=headerlink href=#the-role-of-instructions-in-simplifying-the-fine-tuning-process title="Permanent link">&para;</a></h2> <p>By using <code>Instructions</code>, you can annotate a Python function that returns a Pydantic object, thereby automating the dataset creation for fine-tuning. A handler for logging is all that's needed to build this dataset.</p> <h2 id=how-to-implement-instructions-in-your-code>How to Implement <code>Instructions</code> in Your Code<a class=headerlink href=#how-to-implement-instructions-in-your-code title="Permanent link">&para;</a></h2> <h2 id=quick-start-how-to-use-instructors-distillation-feature>Quick Start: How to Use Instructor's Distillation Feature<a class=headerlink href=#quick-start-how-to-use-instructors-distillation-feature title="Permanent link">&para;</a></h2> <p>Before we dig into the nitty-gritty, let's look at how easy it is to use Instructor's distillation feature to use function calling finetuning to export the data to a JSONL file.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>logging</span>
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</a> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_4 checked> <label class=md-nav__link for=__nav_4 id=__nav_4_label tabindex> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </label> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_4_label aria-expanded=true> <label class=md-nav__title for=__nav_4> <span class="md-nav__icon md-icon"></span> Concepts </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../models/ class=md-nav__link> <span class=md-ellipsis> Models </span> </a> </li> <li class=md-nav__item> <a href=../fields/ class=md-nav__link> <span class=md-ellipsis> Fields </span> </a> </li> <li class=md-nav__item> <a href=../types/ class=md-nav__link> <span class=md-ellipsis> Types </span> </a> </li> <li class=md-nav__item> <a href=../reask_validation/ class=md-nav__link> <span class=md-ellipsis> Validators </span> </a> </li> <li class=md-nav__item> <a href=../usage/ class=md-nav__link> <span class=md-ellipsis> Usage Tokens </span> </a> </li> <li class=md-nav__item> <a href=../maybe/ class=md-nav__link> <span class=md-ellipsis> Missing </span> </a> </li> <li class=md-nav__item> <a href=../patching/ class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=../retrying/ class=md-nav__link> <span class=md-ellipsis> Retrying </span> </a> </li> <li class=md-nav__item> <a href=../parallel/ class=md-nav__link> <span class=md-ellipsis> Parallel Tools </span> </a> </li> <li class=md-nav__item> <a href=../lists/ class=md-nav__link> <span class=md-ellipsis> Stream Iterable </span> </a> </li> <li class=md-nav__item> <a href=../partial/ class=md-nav__link> <span class=md-ellipsis> Stream Partial </span> </a> </li> <li class=md-nav__item> <a href=../raw_response/ class=md-nav__link> <span class=md-ellipsis> Raw Response </span> </a> </li> <li 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class=md-ellipsis> Type Adapter </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/enums.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/enums.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1>Enums</h1> <p>To prevent data misalignment, we can use Enums for standardized fields. Always include an "Other" option as a fallback so the model can signal uncertainty.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>pydantic</span> <span class=kn>import</span> <span class=n>BaseModel</span><span class=p>,</span> <span class=n>Field</span>
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Validators </span> </a> </li> <li class=md-nav__item> <a href=../usage/ class=md-nav__link> <span class=md-ellipsis> Usage Tokens </span> </a> </li> <li class=md-nav__item> <a href=../maybe/ class=md-nav__link> <span class=md-ellipsis> Missing </span> </a> </li> <li class=md-nav__item> <a href=../patching/ class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=../retrying/ class=md-nav__link> <span class=md-ellipsis> Retrying </span> </a> </li> <li class=md-nav__item> <a href=../parallel/ class=md-nav__link> <span class=md-ellipsis> Parallel Tools </span> </a> </li> <li class=md-nav__item> <a href=../lists/ class=md-nav__link> <span class=md-ellipsis> Stream Iterable </span> </a> </li> <li class=md-nav__item> <a href=../partial/ class=md-nav__link> <span class=md-ellipsis> Stream Partial </span> </a> </li> <li class=md-nav__item> <a href=../raw_response/ class=md-nav__link> <span class=md-ellipsis> Raw Response </span> </a> </li> <li 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href=#streaming-responses-with-fastapi class=md-nav__link> <span class=md-ellipsis> Streaming Responses with FastAPI </span> </a> </li> <li class=md-nav__item> <a href=#automatic-documentation-with-fastapi class=md-nav__link> <span class=md-ellipsis> Automatic Documentation with FastAPI </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../caching/ class=md-nav__link> <span class=md-ellipsis> Caching </span> </a> </li> <li class=md-nav__item> <a href=../logging/ class=md-nav__link> <span class=md-ellipsis> Logging </span> </a> </li> <li class=md-nav__item> <a href=../distillation/ class=md-nav__link> <span class=md-ellipsis> Distillation </span> </a> </li> <li class=md-nav__item> <a href=../union/ class=md-nav__link> <span class=md-ellipsis> Union </span> </a> </li> <li class=md-nav__item> <a href=../alias/ class=md-nav__link> <span class=md-ellipsis> Alias </span> </a> </li> <li class=md-nav__item> <a href=../enums/ class=md-nav__link> <span class=md-ellipsis> Enums </span> </a> </li> <li class=md-nav__item> <a href=../typeadapter/ class=md-nav__link> <span class=md-ellipsis> Type Adapter </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#why-choose-fastapi-and-pydantic class=md-nav__link> <span class=md-ellipsis> Why Choose FastAPI and Pydantic? </span> </a> </li> <li class=md-nav__item> <a href=#code-example-starting-a-fastapi-app-with-a-post-request class=md-nav__link> <span class=md-ellipsis> Code Example: Starting a FastAPI App with a POST Request </span> </a> </li> <li class=md-nav__item> <a href=#streaming-responses-with-fastapi class=md-nav__link> <span class=md-ellipsis> Streaming Responses with FastAPI </span> </a> </li> <li class=md-nav__item> <a href=#automatic-documentation-with-fastapi class=md-nav__link> <span class=md-ellipsis> Automatic Documentation with FastAPI </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/fastapi.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/fastapi.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=integrating-pydantic-models-with-fastapi>Integrating Pydantic Models with FastAPI<a class=headerlink href=#integrating-pydantic-models-with-fastapi title="Permanent link">&para;</a></h1> <p><a href=https://fastapi.tiangolo.com/ >FastAPI</a> is an enjoyable tool for building web applications in Python. It is well known for its integration with <code>Pydantic</code> models, which makes defining and validating data structures straightforward and efficient. In this guide, we explore how simple functions that return <code>Pydantic</code> models can seamlessly integrate with <code>FastAPI</code>.</p> <h2 id=why-choose-fastapi-and-pydantic>Why Choose FastAPI and Pydantic?<a class=headerlink href=#why-choose-fastapi-and-pydantic title="Permanent link">&para;</a></h2> <ul> <li>FastAPI is a modern, high-performance web framework for building APIs with Python.</li> <li>Supports OpenAPI and JSON Schema for automatic documentation and validation.</li> <li>Supports AsyncIO for asynchronous programming leveraging the AsyncOpenAI() client</li> </ul> <h2 id=code-example-starting-a-fastapi-app-with-a-post-request>Code Example: Starting a FastAPI App with a POST Request<a class=headerlink href=#code-example-starting-a-fastapi-app-with-a-post-request title="Permanent link">&para;</a></h2> <p>The following code snippet demonstrates how to start a <code>FastAPI</code> app with a POST endpoint. This endpoint accepts and returns data defined by a <code>Pydantic</code> model.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>instructor</span>
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class=md-nav__item> <a href=../types/ class=md-nav__link> <span class=md-ellipsis> Types </span> </a> </li> <li class=md-nav__item> <a href=../reask_validation/ class=md-nav__link> <span class=md-ellipsis> Validators </span> </a> </li> <li class=md-nav__item> <a href=../usage/ class=md-nav__link> <span class=md-ellipsis> Usage Tokens </span> </a> </li> <li class=md-nav__item> <a href=../maybe/ class=md-nav__link> <span class=md-ellipsis> Missing </span> </a> </li> <li class=md-nav__item> <a href=../patching/ class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=../retrying/ class=md-nav__link> <span class=md-ellipsis> Retrying </span> </a> </li> <li class=md-nav__item> <a href=../parallel/ class=md-nav__link> <span class=md-ellipsis> Parallel Tools </span> </a> </li> <li class=md-nav__item> <a href=../lists/ class=md-nav__link> <span class=md-ellipsis> Stream Iterable </span> </a> </li> <li class=md-nav__item> <a href=../partial/ class=md-nav__link> <span class=md-ellipsis> Stream Partial </span> </a> </li> <li class=md-nav__item> <a href=../raw_response/ class=md-nav__link> <span class=md-ellipsis> Raw Response </span> </a> </li> <li class=md-nav__item> <a href=../fastapi/ class=md-nav__link> <span class=md-ellipsis> FastAPI </span> </a> </li> <li class=md-nav__item> <a href=../caching/ class=md-nav__link> <span class=md-ellipsis> Caching </span> </a> </li> <li class=md-nav__item> <a href=../logging/ class=md-nav__link> <span class=md-ellipsis> Logging </span> </a> </li> <li class=md-nav__item> <a href=../distillation/ class=md-nav__link> <span class=md-ellipsis> Distillation </span> </a> </li> <li class=md-nav__item> <a href=../union/ class=md-nav__link> <span class=md-ellipsis> Union </span> </a> </li> <li class=md-nav__item> <a href=../alias/ class=md-nav__link> <span class=md-ellipsis> Alias </span> </a> </li> <li class=md-nav__item> <a href=../enums/ class=md-nav__link> <span class=md-ellipsis> Enums </span> </a> </li> <li class=md-nav__item> <a href=../typeadapter/ class=md-nav__link> <span class=md-ellipsis> Type Adapter </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#default-values class=md-nav__link> <span class=md-ellipsis> Default values </span> </a> </li> <li class=md-nav__item> <a href=#using-annotated class=md-nav__link> <span class=md-ellipsis> Using Annotated </span> </a> </li> <li class=md-nav__item> <a href=#exclude class=md-nav__link> <span class=md-ellipsis> Exclude </span> </a> </li> <li class=md-nav__item> <a href=#customizing-json-schema class=md-nav__link> <span class=md-ellipsis> Customizing JSON Schema </span> </a> </li> <li class=md-nav__item> <a href=#general-notes-on-json-schema-generation class=md-nav__link> <span class=md-ellipsis> General notes on JSON schema generation </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/fields.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/fields.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <p>The <code>pydantic.Field</code> function is used to customize and add metadata to fields of models. To learn more, check out the Pydantic <a href=https://docs.pydantic.dev/latest/concepts/fields/ >documentation</a> as this is a near replica of that documentation that is relevant to prompting.</p> <h2 id=default-values>Default values<a class=headerlink href=#default-values title="Permanent link">&para;</a></h2> <p>The <code>default</code> parameter is used to define a default value for a field.</p> <div class="language-py highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>pydantic</span> <span class=kn>import</span> <span class=n>BaseModel</span><span class=p>,</span> <span class=n>Field</span>
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</a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#extracting-tasks-using-iterable class=md-nav__link> <span class=md-ellipsis> Extracting Tasks using Iterable </span> </a> </li> <li class=md-nav__item> <a href=#streaming-tasks class=md-nav__link> <span class=md-ellipsis> Streaming Tasks </span> </a> </li> <li class=md-nav__item> <a href=#asynchronous-streaming class=md-nav__link> <span class=md-ellipsis> Asynchronous Streaming </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../partial/ class=md-nav__link> <span class=md-ellipsis> Stream Partial </span> </a> </li> <li class=md-nav__item> <a href=../raw_response/ class=md-nav__link> <span class=md-ellipsis> Raw Response </span> </a> </li> <li class=md-nav__item> <a href=../fastapi/ class=md-nav__link> <span class=md-ellipsis> FastAPI </span> </a> </li> <li class=md-nav__item> <a href=../caching/ class=md-nav__link> <span class=md-ellipsis> Caching </span> </a> </li> <li class=md-nav__item> <a href=../logging/ class=md-nav__link> <span class=md-ellipsis> Logging </span> </a> </li> <li class=md-nav__item> <a href=../distillation/ class=md-nav__link> <span class=md-ellipsis> Distillation </span> </a> </li> <li class=md-nav__item> <a href=../union/ class=md-nav__link> <span class=md-ellipsis> Union </span> </a> </li> <li class=md-nav__item> <a href=../alias/ class=md-nav__link> <span class=md-ellipsis> Alias </span> </a> </li> <li class=md-nav__item> <a href=../enums/ class=md-nav__link> <span class=md-ellipsis> Enums </span> </a> </li> <li class=md-nav__item> <a href=../typeadapter/ class=md-nav__link> <span class=md-ellipsis> Type Adapter </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#extracting-tasks-using-iterable class=md-nav__link> <span class=md-ellipsis> Extracting Tasks using Iterable </span> </a> </li> <li class=md-nav__item> <a href=#streaming-tasks class=md-nav__link> <span class=md-ellipsis> Streaming Tasks </span> </a> </li> <li class=md-nav__item> <a href=#asynchronous-streaming class=md-nav__link> <span class=md-ellipsis> Asynchronous Streaming </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/lists.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/lists.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=multi-task-and-streaming>Multi-task and Streaming<a class=headerlink href=#multi-task-and-streaming title="Permanent link">&para;</a></h1> <p>A common use case of structured extraction is defining a single schema class and then making another schema to create a list to do multiple extraction</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>typing</span> <span class=kn>import</span> <span class=n>List</span>
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Type Adapter </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/logging.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/logging.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1>Logging</h1> <p>In order to see the requests made to OpenAI and the responses, you can set logging to DEBUG. This will show the requests and responses made to OpenAI. This can be useful for debugging and understanding the requests and responses made to OpenAI. I would love some contributions that make this a lot cleaner, but for now this is the fastest way to see the prompts. </p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>instructor</span>
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href=#defining-the-function class=md-nav__link> <span class=md-ellipsis> Defining the function </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/maybe.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/maybe.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=handling-missing-data>Handling Missing Data<a class=headerlink href=#handling-missing-data title="Permanent link">&para;</a></h1> <p>The <code>Maybe</code> pattern is a concept in functional programming used for error handling. Instead of raising exceptions or returning <code>None</code>, you can use a <code>Maybe</code> type to encapsulate both the result and potential errors.</p> <p>This pattern is particularly useful when making LLM calls, as providing language models with an escape hatch can effectively reduce hallucinations.</p> <h2 id=defining-the-model>Defining the Model<a class=headerlink href=#defining-the-model title="Permanent link">&para;</a></h2> <p>Using Pydantic, we'll first define the <code>UserDetail</code> and <code>MaybeUser</code> classes.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>pydantic</span> <span class=kn>import</span> <span class=n>BaseModel</span><span class=p>,</span> <span class=n>Field</span>
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class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#prompting class=md-nav__link> <span class=md-ellipsis> Prompting </span> </a> </li> <li class=md-nav__item> <a href=#optional-values class=md-nav__link> <span class=md-ellipsis> Optional Values </span> </a> </li> <li class=md-nav__item> <a href=#dynamic-model-creation class=md-nav__link> <span class=md-ellipsis> Dynamic model creation </span> </a> </li> <li class=md-nav__item> <a href=#adding-behavior class=md-nav__link> <span class=md-ellipsis> Adding Behavior </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../fields/ class=md-nav__link> <span class=md-ellipsis> Fields </span> </a> </li> <li class=md-nav__item> <a href=../types/ class=md-nav__link> <span class=md-ellipsis> Types </span> </a> </li> <li class=md-nav__item> <a href=../reask_validation/ class=md-nav__link> <span class=md-ellipsis> Validators </span> </a> </li> <li class=md-nav__item> <a href=../usage/ class=md-nav__link> <span class=md-ellipsis> Usage Tokens </span> </a> </li> <li class=md-nav__item> <a href=../maybe/ class=md-nav__link> <span class=md-ellipsis> Missing </span> </a> </li> <li class=md-nav__item> <a href=../patching/ class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=../retrying/ class=md-nav__link> <span class=md-ellipsis> Retrying </span> </a> </li> <li class=md-nav__item> <a href=../parallel/ class=md-nav__link> <span class=md-ellipsis> Parallel Tools </span> </a> </li> <li class=md-nav__item> <a href=../lists/ class=md-nav__link> <span class=md-ellipsis> Stream Iterable </span> </a> </li> <li class=md-nav__item> <a href=../partial/ class=md-nav__link> <span class=md-ellipsis> Stream Partial </span> </a> </li> <li class=md-nav__item> <a href=../raw_response/ class=md-nav__link> <span class=md-ellipsis> Raw Response </span> </a> </li> <li class=md-nav__item> <a href=../fastapi/ class=md-nav__link> <span class=md-ellipsis> FastAPI </span> </a> </li> <li class=md-nav__item> <a href=../caching/ class=md-nav__link> <span class=md-ellipsis> Caching </span> </a> </li> <li class=md-nav__item> <a href=../logging/ class=md-nav__link> <span class=md-ellipsis> Logging </span> </a> </li> <li class=md-nav__item> <a href=../distillation/ class=md-nav__link> <span class=md-ellipsis> Distillation </span> </a> </li> <li class=md-nav__item> <a href=../union/ class=md-nav__link> <span class=md-ellipsis> Union </span> </a> </li> <li class=md-nav__item> <a href=../alias/ class=md-nav__link> <span class=md-ellipsis> Alias </span> </a> </li> <li class=md-nav__item> <a href=../enums/ class=md-nav__link> <span class=md-ellipsis> Enums </span> </a> </li> <li class=md-nav__item> <a href=../typeadapter/ class=md-nav__link> <span class=md-ellipsis> Type Adapter </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#prompting class=md-nav__link> <span class=md-ellipsis> Prompting </span> </a> </li> <li class=md-nav__item> <a href=#optional-values class=md-nav__link> <span class=md-ellipsis> Optional Values </span> </a> </li> <li class=md-nav__item> <a href=#dynamic-model-creation class=md-nav__link> <span class=md-ellipsis> Dynamic model creation </span> </a> </li> <li class=md-nav__item> <a href=#adding-behavior class=md-nav__link> <span class=md-ellipsis> Adding Behavior </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/models.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/models.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=response-model>Response Model<a class=headerlink href=#response-model title="Permanent link">&para;</a></h1> <p>Defining LLM output schemas in Pydantic is done via <code>pydantic.BaseModel</code>. To learn more about models in Pydantic, check out their <a href=https://docs.pydantic.dev/latest/concepts/models/ >documentation</a>.</p> <p>After defining a Pydantic model, we can use it as the <code>response_model</code> in your client <code>create</code> calls to OpenAI or any other supported model. The job of the <code>response_model</code> parameter is to:</p> <ul> <li>Define the schema and prompts for the language model</li> <li>Validate the response from the API</li> <li>Return a Pydantic model instance.</li> </ul> <h2 id=prompting>Prompting<a class=headerlink href=#prompting title="Permanent link">&para;</a></h2> <p>When defining a response model, we can use docstrings and field annotations to define the prompt that will be used to generate the response.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>pydantic</span> <span class=kn>import</span> <span class=n>BaseModel</span><span class=p>,</span> <span class=n>Field</span>
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</span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#understanding-parallel-function-calling class=md-nav__link> <span class=md-ellipsis> Understanding Parallel Function Calling </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/parallel.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/parallel.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=parallel-tools>Parallel Tools<a class=headerlink href=#parallel-tools title="Permanent link">&para;</a></h1> <p>One of the latest capabilities that OpenAI has recently introduced is parallel function calling. To learn more you can read up on <a href=https://platform.openai.com/docs/guides/function-calling/parallel-function-calling>this</a></p> <div class="admonition warning"> <p class=admonition-title>Experimental Feature</p> <p>This feature is currently in preview and is subject to change. only supported by the <code>gpt-4-turbo-preview</code> model.</p> </div> <h2 id=understanding-parallel-function-calling>Understanding Parallel Function Calling<a class=headerlink href=#understanding-parallel-function-calling title="Permanent link">&para;</a></h2> <p>By using parallel function callings that allow you to call multiple functions in a single request, you can significantly reduce the latency of your application without having to use tricks with now one builds a schema.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>openai</span>
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Validators </span> </a> </li> <li class=md-nav__item> <a href=../usage/ class=md-nav__link> <span class=md-ellipsis> Usage Tokens </span> </a> </li> <li class=md-nav__item> <a href=../maybe/ class=md-nav__link> <span class=md-ellipsis> Missing </span> </a> </li> <li class=md-nav__item> <a href=../patching/ class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=../retrying/ class=md-nav__link> <span class=md-ellipsis> Retrying </span> </a> </li> <li class=md-nav__item> <a href=../parallel/ class=md-nav__link> <span class=md-ellipsis> Parallel Tools </span> </a> </li> <li class=md-nav__item> <a href=../lists/ class=md-nav__link> <span class=md-ellipsis> Stream Iterable </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Stream Partial </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Stream Partial </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#understanding-partial-responses class=md-nav__link> <span class=md-ellipsis> Understanding Partial Responses </span> </a> </li> <li class=md-nav__item> <a href=#asynchronous-streaming class=md-nav__link> <span class=md-ellipsis> Asynchronous Streaming </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../raw_response/ class=md-nav__link> <span class=md-ellipsis> Raw Response </span> </a> </li> <li class=md-nav__item> <a href=../fastapi/ class=md-nav__link> <span class=md-ellipsis> FastAPI </span> </a> </li> <li class=md-nav__item> <a href=../caching/ class=md-nav__link> <span class=md-ellipsis> Caching </span> </a> </li> <li class=md-nav__item> <a href=../logging/ class=md-nav__link> <span class=md-ellipsis> Logging </span> </a> </li> <li class=md-nav__item> <a href=../distillation/ class=md-nav__link> <span class=md-ellipsis> Distillation </span> </a> </li> <li class=md-nav__item> <a href=../union/ class=md-nav__link> <span class=md-ellipsis> Union </span> </a> </li> <li class=md-nav__item> <a href=../alias/ class=md-nav__link> <span class=md-ellipsis> Alias </span> </a> </li> <li class=md-nav__item> <a href=../enums/ class=md-nav__link> <span class=md-ellipsis> Enums </span> </a> </li> <li class=md-nav__item> <a href=../typeadapter/ class=md-nav__link> <span class=md-ellipsis> Type Adapter </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#understanding-partial-responses class=md-nav__link> <span class=md-ellipsis> Understanding Partial Responses </span> </a> </li> <li class=md-nav__item> <a href=#asynchronous-streaming class=md-nav__link> <span class=md-ellipsis> Asynchronous Streaming </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/partial.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/partial.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=streaming-partial-responses>Streaming Partial Responses<a class=headerlink href=#streaming-partial-responses title="Permanent link">&para;</a></h1> <p>Field level streaming provides incremental snapshots of the current state of the response model that are immediately useable. This approach is particularly relevant in contexts like rendering UI components.</p> <p>Instructor supports this pattern by making use of <code>Partial[T]</code>. This lets us dynamically create a new class that treats all of the original model's fields as <code>Optional</code>.</p> <h2 id=understanding-partial-responses>Understanding Partial Responses<a class=headerlink href=#understanding-partial-responses title="Permanent link">&para;</a></h2> <p>Consider what happens whene we define a response model:</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>pydantic</span> <span class=kn>import</span> <span class=n>BaseModel</span>
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1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"/></svg> </div> <div class=md-source__repository> instructor </div> </a> </div> <ul class=md-nav__list data-md-scrollfix> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../.. class=md-nav__link> <span class=md-ellipsis> Introduction </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../examples/ class=md-nav__link> <span class=md-ellipsis> Cookbook </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../blog/ class=md-nav__link> <span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_4 checked> <label class=md-nav__link for=__nav_4 id=__nav_4_label tabindex> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </label> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_4_label aria-expanded=true> <label class=md-nav__title for=__nav_4> <span class="md-nav__icon md-icon"></span> Concepts </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../models/ class=md-nav__link> <span class=md-ellipsis> Models </span> </a> </li> <li class=md-nav__item> <a href=../fields/ class=md-nav__link> <span class=md-ellipsis> Fields </span> </a> </li> <li class=md-nav__item> <a href=../types/ class=md-nav__link> <span class=md-ellipsis> Types </span> </a> </li> <li class=md-nav__item> <a href=../reask_validation/ class=md-nav__link> <span class=md-ellipsis> Validators </span> </a> </li> <li class=md-nav__item> <a href=../usage/ class=md-nav__link> <span class=md-ellipsis> Usage Tokens </span> </a> </li> <li class=md-nav__item> <a href=../maybe/ class=md-nav__link> <span class=md-ellipsis> Missing </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Patching </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Patching </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#tool-calling class=md-nav__link> <span class=md-ellipsis> Tool Calling </span> </a> </li> <li class=md-nav__item> <a href=#parallel-tool-calling class=md-nav__link> <span class=md-ellipsis> Parallel Tool Calling </span> </a> </li> <li class=md-nav__item> <a href=#function-calling class=md-nav__link> <span class=md-ellipsis> Function Calling </span> </a> </li> <li class=md-nav__item> <a href=#json-mode class=md-nav__link> <span class=md-ellipsis> JSON Mode </span> </a> </li> <li class=md-nav__item> <a href=#json-schema-mode class=md-nav__link> <span class=md-ellipsis> JSON Schema Mode </span> </a> </li> <li class=md-nav__item> <a href=#markdown-json-mode class=md-nav__link> <span class=md-ellipsis> Markdown JSON Mode </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../retrying/ class=md-nav__link> <span class=md-ellipsis> Retrying </span> </a> </li> <li class=md-nav__item> <a href=../parallel/ class=md-nav__link> <span class=md-ellipsis> Parallel Tools </span> </a> </li> <li class=md-nav__item> <a href=../lists/ class=md-nav__link> <span class=md-ellipsis> Stream Iterable </span> </a> </li> <li class=md-nav__item> <a href=../partial/ class=md-nav__link> <span class=md-ellipsis> Stream Partial </span> </a> </li> <li class=md-nav__item> <a href=../raw_response/ class=md-nav__link> <span class=md-ellipsis> Raw Response </span> </a> </li> <li class=md-nav__item> <a href=../fastapi/ class=md-nav__link> <span class=md-ellipsis> FastAPI </span> </a> </li> <li class=md-nav__item> <a href=../caching/ class=md-nav__link> <span class=md-ellipsis> Caching </span> </a> </li> <li class=md-nav__item> <a href=../logging/ class=md-nav__link> <span class=md-ellipsis> Logging </span> </a> </li> <li class=md-nav__item> <a href=../distillation/ class=md-nav__link> <span class=md-ellipsis> Distillation </span> </a> </li> <li class=md-nav__item> <a href=../union/ class=md-nav__link> <span class=md-ellipsis> Union </span> </a> </li> <li class=md-nav__item> <a href=../alias/ class=md-nav__link> <span class=md-ellipsis> Alias </span> </a> </li> <li class=md-nav__item> <a href=../enums/ class=md-nav__link> <span class=md-ellipsis> Enums </span> </a> </li> <li class=md-nav__item> <a href=../typeadapter/ class=md-nav__link> <span class=md-ellipsis> Type Adapter </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#tool-calling class=md-nav__link> <span class=md-ellipsis> Tool Calling </span> </a> </li> <li class=md-nav__item> <a href=#parallel-tool-calling class=md-nav__link> <span class=md-ellipsis> Parallel Tool Calling </span> </a> </li> <li class=md-nav__item> <a href=#function-calling class=md-nav__link> <span class=md-ellipsis> Function Calling </span> </a> </li> <li class=md-nav__item> <a href=#json-mode class=md-nav__link> <span class=md-ellipsis> JSON Mode </span> </a> </li> <li class=md-nav__item> <a href=#json-schema-mode class=md-nav__link> <span class=md-ellipsis> JSON Schema Mode </span> </a> </li> <li class=md-nav__item> <a href=#markdown-json-mode class=md-nav__link> <span class=md-ellipsis> Markdown JSON Mode </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/patching.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/patching.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=patching>Patching<a class=headerlink href=#patching title="Permanent link">&para;</a></h1> <p>Instructor enhances client functionality with three new keywords for backwards compatibility. This allows use of the enhanced client as usual, with structured output benefits.</p> <ul> <li><code>response_model</code>: Defines the response type for <code>chat.completions.create</code>.</li> <li><code>max_retries</code>: Determines retry attempts for failed <code>chat.completions.create</code> validations.</li> <li><code>validation_context</code>: Provides extra context to the validation process.</li> </ul> <p>The default mode is <code>instructor.Mode.TOOLS</code> which is the recommended mode for OpenAI clients. This mode is the most stable and is the most recommended for OpenAI clients. The other modes are for other clients and are not recommended for OpenAI clients.</p> <h2 id=tool-calling>Tool Calling<a class=headerlink href=#tool-calling title="Permanent link">&para;</a></h2> <p>This is the recommended method for OpenAI clients. It is the most stable as functions is being deprecated soon.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>instructor</span>
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Introduction </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../../why/ class=md-nav__link> <span class=md-ellipsis> Why use Instructor? </span> </a> </li> <li class=md-nav__item> <a href=../../help/ class=md-nav__link> <span class=md-ellipsis> Help with Instructor </span> </a> </li> <li class=md-nav__item> <a href=../../installation/ class=md-nav__link> <span class=md-ellipsis> Installation </span> </a> </li> <li class=md-nav__item> <a href=../../contributing/ class=md-nav__link> <span class=md-ellipsis> Contributing </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Philosophy </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Philosophy </span> </a> <nav class="md-nav md-nav--secondary" 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md-nav__item--nested"> <a href=../../examples/ class=md-nav__link> <span class=md-ellipsis> Cookbook </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../blog/ class=md-nav__link> <span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#proof-that-its-simple class=md-nav__link> <span class=md-ellipsis> Proof that its simple </span> </a> </li> <li class=md-nav__item> <a href=#proof-that-its-transparent class=md-nav__link> <span class=md-ellipsis> Proof that its transparent </span> </a> </li> <li class=md-nav__item> <a href=#proof-that-its-flexible class=md-nav__link> <span class=md-ellipsis> Proof that its flexible </span> </a> </li> <li class=md-nav__item> <a href=#the-zen-of-instructor class=md-nav__link> <span class=md-ellipsis> The zen of instructor </span> </a> </li> <li class=md-nav__item> <a href=#my-goals class=md-nav__link> <span class=md-ellipsis> My Goals </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/philosophy.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/philosophy.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=philosophy>Philosophy<a class=headerlink href=#philosophy title="Permanent link">&para;</a></h1> <p>The instructor values <a href=https://eugeneyan.com/writing/simplicity/ >simplicity</a> and flexibility in leveraging language models (LLMs). It offers a streamlined approach for structured output, avoiding unnecessary dependencies or complex abstractions. Let <a href=https://docs.pydantic.dev/latest/ >Pydantic</a> do the heavy lifting.</p> <blockquote> <p>“Simplicity is a great virtue but it requires hard work to achieve it and education to appreciate it. And to make matters worse: complexity sells better.” — Edsger Dijkstra</p> </blockquote> <h3 id=proof-that-its-simple>Proof that its simple<a class=headerlink href=#proof-that-its-simple title="Permanent link">&para;</a></h3> <ol> <li>Most users will only need to learn <code>response_model</code> and <code>patch</code> to get started.</li> <li>No new prompting language to learn, no new abstractions to learn.</li> </ol> <h3 id=proof-that-its-transparent>Proof that its transparent<a class=headerlink href=#proof-that-its-transparent title="Permanent link">&para;</a></h3> <ol> <li>We write very little prompts, and we don't try to hide the prompts from you.</li> <li>We'll do better in the future to give you config over the 2 prompts we do write, Reasking and JSON_MODE prompts.</li> </ol> <h3 id=proof-that-its-flexible>Proof that its flexible<a class=headerlink href=#proof-that-its-flexible title="Permanent link">&para;</a></h3> <ol> <li>If you build a system with OpenAI dirrectly, it is easy to incrementally adopt instructor.</li> <li>Add <code>response_model</code> and if you want to revert, just remove it.</li> </ol> <h2 id=the-zen-of-instructor>The zen of <code>instructor</code><a class=headerlink href=#the-zen-of-instructor title="Permanent link">&para;</a></h2> <p>Maintain the flexibility and power of Python, without unnecessary constraints.</p> <p>Begin with a function and a return type hint – simplicity is key. With my experience maintaining a large enterprize framework at my previous job over many years I've learned that the goal of a making a useful framework is minimizing regret, both for the author and hopefully for the user.</p> <ol> <li>Define a Schema <code class="language-python highlight"><span class=k>class</span> <span class=nc>StructuredData</span><span class=p>(</span><span class=n>BaseModel</span><span class=p>):</span></code></li> <li>Define validators and methods on your schema.</li> <li>Encapsulate all your LLM logic into a function <code class="language-python highlight"><span class=k>def</span> <span class=nf>extract</span><span class=p>(</span><span class=n>a</span><span class=p>)</span> <span class=o>-&gt;</span> <span class=n>StructuredData</span><span class=p>:</span></code></li> <li>Define typed computations against your data with <code class="language-python highlight"><span class=k>def</span> <span class=nf>compute</span><span class=p>(</span><span class=n>data</span><span class=p>:</span> <span class=n>StructuredData</span><span class=p>):</span></code> or call methods on your schema <code class="language-python highlight"><span class=n>data</span><span class=o>.</span><span class=n>compute</span><span class=p>()</span></code></li> </ol> <p>It should be that simple.</p> <h2 id=my-goals>My Goals<a class=headerlink href=#my-goals title="Permanent link">&para;</a></h2> <p>The goal for the library, <a href=https://jxnl.github.io/instructor/ >documentation</a>, and <a href=https://jxnl.github.io/instructor/blog/ >blog</a>, is to help you be a better python programmer and as a result a better AI engineer.</p> <ul> <li>The library is a result of my desire for simplicity.</li> <li>The library should help maintain simplicity in your codebase.</li> <li>I won't try to write prompts for you,</li> <li>I don't try to create indirections or abstractions that make it hard to debug in the future</li> </ul> <p>Please note that the library is designed to be adaptable and open-ended, allowing you to customize and extend its functionality based on your specific requirements. 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data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#modular-chain-of-thought class=md-nav__link> <span class=md-ellipsis> Modular Chain of Thought </span> </a> </li> <li class=md-nav__item> <a href=#utilize-optional-attributes class=md-nav__link> <span class=md-ellipsis> Utilize Optional Attributes </span> </a> </li> <li class=md-nav__item> <a href=#handling-errors-within-function-calls class=md-nav__link> <span class=md-ellipsis> Handling Errors Within Function Calls </span> </a> <nav class=md-nav aria-label="Handling Errors Within Function Calls"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#simplification-with-the-maybe-pattern class=md-nav__link> <span class=md-ellipsis> Simplification with the Maybe Pattern </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#tips-for-enumerations class=md-nav__link> <span class=md-ellipsis> Tips for Enumerations </span> </a> </li> <li class=md-nav__item> <a href=#reiterate-long-instructions class=md-nav__link> <span class=md-ellipsis> Reiterate Long Instructions </span> </a> </li> <li class=md-nav__item> <a href=#handle-arbitrary-properties class=md-nav__link> <span class=md-ellipsis> Handle Arbitrary Properties </span> </a> </li> <li class=md-nav__item> <a href=#limiting-the-length-of-lists class=md-nav__link> <span class=md-ellipsis> Limiting the Length of Lists </span> </a> </li> <li class=md-nav__item> <a href=#advanced-arbitrary-properties class=md-nav__link> <span class=md-ellipsis> Advanced Arbitrary Properties </span> </a> </li> <li class=md-nav__item> <a href=#defining-relationships-between-entities class=md-nav__link> <span class=md-ellipsis> Defining Relationships Between Entities </span> </a> </li> <li class=md-nav__item> <a href=#reusing-components-with-different-contexts class=md-nav__link> <span class=md-ellipsis> Reusing Components with Different Contexts </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/prompting.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/prompting.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=general-tips-for-prompt-engineering>General Tips for Prompt Engineering<a class=headerlink href=#general-tips-for-prompt-engineering title="Permanent link">&para;</a></h1> <p>The overarching theme of using Instructor and Pydantic for function calling is to make the models as self-descriptive, modular, and flexible as possible, while maintaining data integrity and ease of use.</p> <ul> <li><strong>Modularity</strong>: Design self-contained components for reuse.</li> <li><strong>Self-Description</strong>: Use Pydantic's <code>Field</code> for clear field descriptions.</li> <li><strong>Optionality</strong>: Use Python's <code>Optional</code> type for nullable fields and set sensible defaults.</li> <li><strong>Standardization</strong>: Employ enumerations for fields with a fixed set of values; include a fallback option.</li> <li><strong>Dynamic Data</strong>: Use key-value pairs for arbitrary properties and limit list lengths.</li> <li><strong>Entity Relationships</strong>: Define explicit identifiers and relationship fields.</li> <li><strong>Contextual Logic</strong>: Optionally add a "chain of thought" field in reusable components for extra context.</li> </ul> <h2 id=modular-chain-of-thought>Modular Chain of Thought<a class=headerlink href=#modular-chain-of-thought title="Permanent link">&para;</a></h2> <p>This approach to "chain of thought" improves data quality but can have modular components rather than global CoT.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>pydantic</span> <span class=kn>import</span> <span class=n>BaseModel</span><span class=p>,</span> <span class=n>Field</span>
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Validators </span> </a> </li> <li class=md-nav__item> <a href=../usage/ class=md-nav__link> <span class=md-ellipsis> Usage Tokens </span> </a> </li> <li class=md-nav__item> <a href=../maybe/ class=md-nav__link> <span class=md-ellipsis> Missing </span> </a> </li> <li class=md-nav__item> <a href=../patching/ class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=../retrying/ class=md-nav__link> <span class=md-ellipsis> Retrying </span> </a> </li> <li class=md-nav__item> <a href=../parallel/ class=md-nav__link> <span class=md-ellipsis> Parallel Tools </span> </a> </li> <li class=md-nav__item> <a href=../lists/ class=md-nav__link> <span class=md-ellipsis> Stream Iterable </span> </a> </li> <li class=md-nav__item> <a href=../partial/ class=md-nav__link> <span class=md-ellipsis> Stream Partial </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Raw Response </span> </a> </li> <li class=md-nav__item> <a href=../fastapi/ class=md-nav__link> <span class=md-ellipsis> FastAPI </span> </a> </li> <li class=md-nav__item> <a href=../caching/ class=md-nav__link> <span class=md-ellipsis> Caching </span> </a> </li> <li class=md-nav__item> <a href=../logging/ class=md-nav__link> <span class=md-ellipsis> Logging </span> </a> </li> <li class=md-nav__item> <a href=../distillation/ class=md-nav__link> <span class=md-ellipsis> Distillation </span> </a> </li> <li class=md-nav__item> <a href=../union/ class=md-nav__link> <span class=md-ellipsis> Union </span> </a> </li> <li class=md-nav__item> <a href=../alias/ class=md-nav__link> <span class=md-ellipsis> Alias </span> </a> </li> <li class=md-nav__item> <a href=../enums/ class=md-nav__link> <span class=md-ellipsis> Enums </span> </a> </li> <li class=md-nav__item> <a href=../typeadapter/ class=md-nav__link> <span class=md-ellipsis> Type Adapter </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/raw_response.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/raw_response.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1>Raw Response</h1> <p>Often times not only do you want the base model but may also want the original response from the API. You can do this by retrieving the <code>raw_response</code>, since the <code>raw_response</code> is also a pydantic model, you can use any of the pydantic model methods on it.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>instructor</span>
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class=md-nav__link> <span class=md-ellipsis> Output for Code-Based Validation </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#llm-based-validation-example class=md-nav__link> <span class=md-ellipsis> LLM-Based Validation Example </span> </a> <nav class=md-nav aria-label="LLM-Based Validation Example"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#output-for-llm-based-validation class=md-nav__link> <span class=md-ellipsis> Output for LLM-Based Validation </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#using-reasking-logic-to-correct-outputs class=md-nav__link> <span class=md-ellipsis> Using Reasking Logic to Correct Outputs </span> </a> <nav class=md-nav aria-label="Using Reasking Logic to Correct Outputs"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#step-1-define-the-response-model-with-validators class=md-nav__link> <span class=md-ellipsis> Step 1: Define the Response Model with Validators </span> </a> </li> <li class=md-nav__item> <a href=#step-2-using-the-client-with-retries class=md-nav__link> <span class=md-ellipsis> Step 2. Using the Client with Retries </span> </a> </li> <li class=md-nav__item> <a href=#what-happens-behind-the-scenes class=md-nav__link> <span class=md-ellipsis> What happens behind the scenes? </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#advanced-validation-techniques class=md-nav__link> <span class=md-ellipsis> Advanced Validation Techniques </span> </a> </li> <li class=md-nav__item> <a href=#takeaways class=md-nav__link> <span class=md-ellipsis> Takeaways </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/reask_validation.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/reask_validation.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=validation-and-reasking>Validation and Reasking<a class=headerlink href=#validation-and-reasking title="Permanent link">&para;</a></h1> <p>Instead of framing "self-critique" or "self-reflection" in AI as new concepts, we can view them as validation errors with clear error messages that the system can use to self-correct.</p> <h2 id=pydantic>Pydantic<a class=headerlink href=#pydantic title="Permanent link">&para;</a></h2> <p>Pydantic offers an customizable and expressive validation framework for Python. Instructor leverages Pydantic's validation framework to provide a uniform developer experience for both code-based and LLM-based validation, as well as a reasking mechanism for correcting LLM outputs based on validation errors. To learn more check out the <a href=https://docs.pydantic.dev/latest/concepts/validators/ >Pydantic docs</a> on validators.</p> <div class="admonition note"> <p class=admonition-title>Good llm validation is just good validation</p> <p>If you want to see some more examples on validators checkout our blog post <a href=https://jxnl.github.io/instructor/blog/2023/10/23/good-llm-validation-is-just-good-validation/ >Good LLM validation is just good validation</a></p> </div> <h3 id=code-based-validation-example>Code-based Validation Example<a class=headerlink href=#code-based-validation-example title="Permanent link">&para;</a></h3> <p>First define a Pydantic model with a validator using the <code>Annotation</code> class from <code>typing_extensions</code>.</p> <p>Enforce a naming rule using Pydantic's built-in validation:</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>pydantic</span> <span class=kn>import</span> <span class=n>BaseModel</span><span class=p>,</span> <span class=n>ValidationError</span>
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</a> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_4 checked> <label class=md-nav__link for=__nav_4 id=__nav_4_label tabindex> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </label> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_4_label aria-expanded=true> <label class=md-nav__title for=__nav_4> <span class="md-nav__icon md-icon"></span> Concepts </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../models/ class=md-nav__link> <span class=md-ellipsis> Models </span> </a> </li> <li class=md-nav__item> <a href=../fields/ class=md-nav__link> <span class=md-ellipsis> Fields </span> </a> </li> <li class=md-nav__item> <a href=../types/ class=md-nav__link> <span class=md-ellipsis> Types </span> </a> </li> <li class=md-nav__item> <a href=../reask_validation/ class=md-nav__link> <span class=md-ellipsis> Validators </span> </a> </li> <li class=md-nav__item> <a href=../usage/ class=md-nav__link> <span class=md-ellipsis> Usage Tokens </span> </a> </li> <li class=md-nav__item> <a href=../maybe/ class=md-nav__link> <span class=md-ellipsis> Missing </span> </a> </li> <li class=md-nav__item> <a href=../patching/ class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Retrying </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Retrying </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#example-of-a-validator class=md-nav__link> <span class=md-ellipsis> Example of a Validator </span> </a> </li> <li class=md-nav__item> <a href=#simple-max-retries class=md-nav__link> <span class=md-ellipsis> Simple: Max Retries </span> </a> </li> <li class=md-nav__item> <a href=#advanced-retry-logic class=md-nav__link> <span class=md-ellipsis> Advanced: Retry Logic </span> </a> <nav class=md-nav aria-label="Advanced: Retry Logic"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#asynchronous-retries class=md-nav__link> <span class=md-ellipsis> asynchronous retries </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#other-features-of-tenacity class=md-nav__link> <span class=md-ellipsis> Other Features of Tenacity </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../parallel/ class=md-nav__link> <span class=md-ellipsis> Parallel Tools </span> </a> </li> <li class=md-nav__item> <a href=../lists/ class=md-nav__link> <span class=md-ellipsis> Stream Iterable </span> </a> </li> <li class=md-nav__item> <a href=../partial/ class=md-nav__link> <span class=md-ellipsis> Stream Partial </span> </a> </li> <li class=md-nav__item> <a href=../raw_response/ class=md-nav__link> <span class=md-ellipsis> Raw Response </span> </a> </li> <li class=md-nav__item> <a href=../fastapi/ class=md-nav__link> <span class=md-ellipsis> FastAPI </span> </a> </li> <li class=md-nav__item> <a href=../caching/ class=md-nav__link> <span class=md-ellipsis> Caching </span> </a> </li> <li class=md-nav__item> <a href=../logging/ class=md-nav__link> <span class=md-ellipsis> Logging </span> </a> </li> <li class=md-nav__item> <a href=../distillation/ class=md-nav__link> <span class=md-ellipsis> Distillation </span> </a> </li> <li class=md-nav__item> <a href=../union/ class=md-nav__link> <span class=md-ellipsis> Union </span> </a> </li> <li class=md-nav__item> <a href=../alias/ class=md-nav__link> <span class=md-ellipsis> Alias </span> </a> </li> <li class=md-nav__item> <a href=../enums/ class=md-nav__link> <span class=md-ellipsis> Enums </span> </a> </li> <li class=md-nav__item> <a href=../typeadapter/ class=md-nav__link> <span class=md-ellipsis> Type Adapter </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#example-of-a-validator class=md-nav__link> <span class=md-ellipsis> Example of a Validator </span> </a> </li> <li class=md-nav__item> <a href=#simple-max-retries class=md-nav__link> <span class=md-ellipsis> Simple: Max Retries </span> </a> </li> <li class=md-nav__item> <a href=#advanced-retry-logic class=md-nav__link> <span class=md-ellipsis> Advanced: Retry Logic </span> </a> <nav class=md-nav aria-label="Advanced: Retry Logic"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#asynchronous-retries class=md-nav__link> <span class=md-ellipsis> asynchronous retries </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#other-features-of-tenacity class=md-nav__link> <span class=md-ellipsis> Other Features of Tenacity </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/retrying.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/retrying.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=retrying>Retrying<a class=headerlink href=#retrying title="Permanent link">&para;</a></h1> <p>One of the benefits of having Pydantic is the ease with which we can define validators. We cover this topic in many articles, like <a href=../reask_validation/ >Reasking Validation</a> and in our blog post <a href=../../blog/2023/10/23/good-llm-validation-is-just-good-validation/ >Good LLM validation is just good validation</a>.</p> <p>This post will mostly describe how to use simple and more complex retry and logic.</p> <h2 id=example-of-a-validator>Example of a Validator<a class=headerlink href=#example-of-a-validator title="Permanent link">&para;</a></h2> <p>Before we begin, we'll use a simple example of a validator. One that checks that the name is in all caps. While we could obviously prompt that we want the name in all caps, this serves as an example of how we can build in additional logic without changing our prompts.</p> <p>To use simple retry, we just need to set `max_retries`` as an integer. In this example.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>typing</span> <span class=kn>import</span> <span class=n>Annotated</span>
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diff --git a/concepts/types/index.html b/concepts/types/index.html
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<span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Types </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#what-happens-behind-the-scenes class=md-nav__link> <span class=md-ellipsis> What happens behind the scenes? </span> </a> </li> <li class=md-nav__item> <a href=#primitive-types-str-int-float-bool class=md-nav__link> <span class=md-ellipsis> Primitive Types (str, int, float, bool) </span> </a> </li> <li class=md-nav__item> <a href=#annotated class=md-nav__link> <span class=md-ellipsis> Annotated </span> </a> </li> <li class=md-nav__item> <a href=#literal class=md-nav__link> <span class=md-ellipsis> Literal </span> </a> </li> <li class=md-nav__item> <a href=#enum class=md-nav__link> <span class=md-ellipsis> Enum </span> </a> </li> <li class=md-nav__item> <a href=#list class=md-nav__link> <span class=md-ellipsis> List </span> </a> </li> <li class=md-nav__item> <a href=#union class=md-nav__link> <span class=md-ellipsis> Union </span> </a> </li> <li class=md-nav__item> <a href=#complex-types class=md-nav__link> <span class=md-ellipsis> Complex Types </span> </a> <nav class=md-nav aria-label="Complex Types"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#pandas-dataframe class=md-nav__link> <span class=md-ellipsis> Pandas DataFrame </span> </a> </li> <li class=md-nav__item> <a href=#lists-of-unions class=md-nav__link> <span class=md-ellipsis> Lists of Unions </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../reask_validation/ class=md-nav__link> <span class=md-ellipsis> Validators </span> </a> </li> <li class=md-nav__item> <a href=../usage/ class=md-nav__link> <span class=md-ellipsis> Usage Tokens </span> </a> </li> <li class=md-nav__item> <a href=../maybe/ class=md-nav__link> <span class=md-ellipsis> Missing </span> </a> </li> <li class=md-nav__item> <a href=../patching/ class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=../retrying/ class=md-nav__link> <span class=md-ellipsis> Retrying </span> </a> </li> <li class=md-nav__item> <a href=../parallel/ class=md-nav__link> <span class=md-ellipsis> Parallel Tools </span> </a> </li> <li class=md-nav__item> <a href=../lists/ class=md-nav__link> <span class=md-ellipsis> Stream Iterable </span> </a> </li> <li class=md-nav__item> <a href=../partial/ class=md-nav__link> <span class=md-ellipsis> Stream Partial </span> </a> </li> <li class=md-nav__item> <a href=../raw_response/ class=md-nav__link> <span class=md-ellipsis> Raw Response </span> </a> </li> <li class=md-nav__item> <a href=../fastapi/ class=md-nav__link> <span class=md-ellipsis> FastAPI </span> </a> </li> <li class=md-nav__item> <a href=../caching/ class=md-nav__link> <span class=md-ellipsis> Caching </span> </a> </li> <li class=md-nav__item> <a href=../logging/ class=md-nav__link> <span class=md-ellipsis> Logging </span> </a> </li> <li class=md-nav__item> <a href=../distillation/ class=md-nav__link> <span class=md-ellipsis> Distillation </span> </a> </li> <li class=md-nav__item> <a href=../union/ class=md-nav__link> <span class=md-ellipsis> Union </span> </a> </li> <li class=md-nav__item> <a href=../alias/ class=md-nav__link> <span class=md-ellipsis> Alias </span> </a> </li> <li class=md-nav__item> <a href=../enums/ class=md-nav__link> <span class=md-ellipsis> Enums </span> </a> </li> <li class=md-nav__item> <a href=../typeadapter/ class=md-nav__link> <span class=md-ellipsis> Type Adapter </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#what-happens-behind-the-scenes class=md-nav__link> <span class=md-ellipsis> What happens behind the scenes? </span> </a> </li> <li class=md-nav__item> <a href=#primitive-types-str-int-float-bool class=md-nav__link> <span class=md-ellipsis> Primitive Types (str, int, float, bool) </span> </a> </li> <li class=md-nav__item> <a href=#annotated class=md-nav__link> <span class=md-ellipsis> Annotated </span> </a> </li> <li class=md-nav__item> <a href=#literal class=md-nav__link> <span class=md-ellipsis> Literal </span> </a> </li> <li class=md-nav__item> <a href=#enum class=md-nav__link> <span class=md-ellipsis> Enum </span> </a> </li> <li class=md-nav__item> <a href=#list class=md-nav__link> <span class=md-ellipsis> List </span> </a> </li> <li class=md-nav__item> <a href=#union class=md-nav__link> <span class=md-ellipsis> Union </span> </a> </li> <li class=md-nav__item> <a href=#complex-types class=md-nav__link> <span class=md-ellipsis> Complex Types </span> </a> <nav class=md-nav aria-label="Complex Types"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#pandas-dataframe class=md-nav__link> <span class=md-ellipsis> Pandas DataFrame </span> </a> </li> <li class=md-nav__item> <a href=#lists-of-unions class=md-nav__link> <span class=md-ellipsis> Lists of Unions </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/types.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/types.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=support-for-simple-types>Support for Simple Types<a class=headerlink href=#support-for-simple-types title="Permanent link">&para;</a></h1> <p>Aside from the recommended <code>pydantic.BaseModel</code>, and <a href=../lists/ >Iterable</a>, and <a href=../partial/ >Partial</a>,</p> <p>Instructor supports simple types like <code>str</code>, <code>int</code>, <code>float</code>, <code>bool</code>, <code>Union</code>, <code>Literal</code>, out of the box. You can use these types directly in your response models.</p> <p>To add more descriptions you can also use <code>typing.Annotated</code> to include more information about the type.</p> <h2 id=what-happens-behind-the-scenes>What happens behind the scenes?<a class=headerlink href=#what-happens-behind-the-scenes title="Permanent link">&para;</a></h2> <p>We will actually wrap the response model with a <code>pydantic.BaseModel</code> of the following form:</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>typing</span> <span class=kn>import</span> <span class=n>Annotated</span>
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Validators </span> </a> </li> <li class=md-nav__item> <a href=../usage/ class=md-nav__link> <span class=md-ellipsis> Usage Tokens </span> </a> </li> <li class=md-nav__item> <a href=../maybe/ class=md-nav__link> <span class=md-ellipsis> Missing </span> </a> </li> <li class=md-nav__item> <a href=../patching/ class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=../retrying/ class=md-nav__link> <span class=md-ellipsis> Retrying </span> </a> </li> <li class=md-nav__item> <a href=../parallel/ class=md-nav__link> <span class=md-ellipsis> Parallel Tools </span> </a> </li> <li class=md-nav__item> <a href=../lists/ class=md-nav__link> <span class=md-ellipsis> Stream Iterable </span> </a> </li> <li class=md-nav__item> <a href=../partial/ class=md-nav__link> <span class=md-ellipsis> Stream Partial </span> </a> </li> <li class=md-nav__item> <a href=../raw_response/ class=md-nav__link> <span class=md-ellipsis> Raw Response </span> </a> </li> <li class=md-nav__item> <a href=../fastapi/ class=md-nav__link> <span class=md-ellipsis> FastAPI </span> </a> </li> <li class=md-nav__item> <a href=../caching/ class=md-nav__link> <span class=md-ellipsis> Caching </span> </a> </li> <li class=md-nav__item> <a href=../logging/ class=md-nav__link> <span class=md-ellipsis> Logging </span> </a> </li> <li class=md-nav__item> <a href=../distillation/ class=md-nav__link> <span class=md-ellipsis> Distillation </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Union </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Union </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#unions-for-multiple-types class=md-nav__link> <span class=md-ellipsis> Unions for Multiple Types </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../alias/ class=md-nav__link> <span class=md-ellipsis> Alias </span> </a> </li> <li class=md-nav__item> <a href=../enums/ class=md-nav__link> <span class=md-ellipsis> Enums </span> </a> </li> <li class=md-nav__item> <a href=../typeadapter/ class=md-nav__link> <span class=md-ellipsis> Type Adapter </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#unions-for-multiple-types class=md-nav__link> <span class=md-ellipsis> Unions for Multiple Types </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/union.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/union.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1>Union</h1> <p>Pydantic models also support <code>Union</code> types, which are used to represent a value that can be one of several types.</p> <p>While many libraries support multiple function calls, and tool calls support multiple returns, the goal is to provide only one way to do things.</p> <h2 id=unions-for-multiple-types>Unions for Multiple Types<a class=headerlink href=#unions-for-multiple-types title="Permanent link">&para;</a></h2> <p>You can use <code>Union</code> types to write <em>agents</em> that can dynamically choose actions - by choosing an output class. For example, in a search and lookup function, the LLM can determine whether to execute another search, lookup or other action.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>pydantic</span> <span class=kn>import</span> <span class=n>BaseModel</span>
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class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/concepts/usage.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/concepts/usage.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1>Usage Tokens</h1> <p>The easiest way to get usage for non streaming requests is to access the raw response.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>instructor</span>
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class=md-ellipsis> Contributors </span> </a> <nav class=md-nav aria-label=Contributors> <ul class=md-nav__list> <li class=md-nav__item> <a href=#additional-resources class=md-nav__link> <span class=md-ellipsis> Additional Resources </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/contributing.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/contributing.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <p>We would love for you to contribute to <code>Instructor</code>.</p> <h2 id=evals><a href=https://github.com/jxnl/instructor/tree/main/tests/openai/evals>Evals</a><a class=headerlink href=#evals title="Permanent link">&para;</a></h2> <p>We invite you to contribute evals in pytest as a way to monitor the quality of the openai models and the instructor library. To get started check out the <a href=https://github.com/jxnl/instructor/tree/main/tests/openai/evals>jxnl/instructor/tests/evals</a> and contribute your own evals in the form of pytest tests. These evals will be run once a week and the results will be posted.</p> <h2 id=issues>Issues<a class=headerlink href=#issues title="Permanent link">&para;</a></h2> <p>If you find a bug, please file an issue on <a href=https://github.com/jxnl/instructor/issues>our issue tracker on GitHub</a>.</p> <p>To help us reproduce the bug, please provide a minimal reproducible example, including a code snippet and the full error message.</p> <ol> <li>The <code>response_model</code> you are using.</li> <li>The <code>messages</code> you are using.</li> <li>The <code>model</code> you are using.</li> </ol> <h2 id=pull-requests>Pull Requests<a class=headerlink href=#pull-requests title="Permanent link">&para;</a></h2> <p>We welcome pull requests! 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You can run <code>grit check</code> to check your code before submitting a pull request.</p> <h1 id=contributors>Contributors<a class=headerlink href=#contributors title="Permanent link">&para;</a></h1> <!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section --> <!-- prettier-ignore-start --> <!-- markdownlint-disable --> <!-- markdownlint-restore --> <!-- prettier-ignore-end --> <!-- ALL-CONTRIBUTORS-LIST:END --> <p><a href=https://github.com/jxnl/instructor/graphs/contributors> <img src="https://contrib.rocks/image?repo=jxnl/instructor"> </a></p> <h2 id=additional-resources>Additional Resources<a class=headerlink href=#additional-resources title="Permanent link">&para;</a></h2> <p>To enhance your understanding of the documentation, here are some useful references:</p> <ul> <li> <p><strong>mkdocs serve:</strong> The <code>mkdocs serve</code> command is used to preview your documentation locally during the development phase. When you run this command in your terminal, MkDocs starts a development server, allowing you to view and interact with your documentation in a web browser. This is helpful for checking how your changes look before publishing the documentation. Learn more in the <a href=https://www.mkdocs.org/commands/serve/ >mkdocs serve documentation</a>.</p> </li> <li> <p><strong>hl_lines in Code Blocks:</strong> The <code>hl_lines</code> feature in code blocks allows you to highlight specific lines within the code block. This is useful for drawing attention to particular lines of code when explaining examples or providing instructions. You can specify the lines to highlight using the <code>hl_lines</code> option in your code block configuration. 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-<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="A lightweight library for structured outputs with LLMs."><meta name=author content="Jason Liu"><link href=https://jxnl.github.io/instructor/examples/batch_classification/ rel=canonical><link href=../classification/ rel=prev><link href=../self_critique/ rel=next><link rel=alternate type=application/rss+xml title="RSS feed" href=../../feed_rss_created.xml><link rel=alternate type=application/rss+xml title="RSS feed of updated content" href=../../feed_rss_updated.xml><link rel=icon href=../../assets/images/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.11"><title>Batch Classification (User Defined) - Instructor</title><link rel=stylesheet href=../../assets/stylesheets/main.7e359304.min.css><link rel=stylesheet 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" for=__nav_2 id=__nav_2_label tabindex> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_2_label aria-expanded=true> <label class=md-nav__title for=__nav_2> <span class="md-nav__icon md-icon"></span> Cookbook </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../classification/ class=md-nav__link> <span class=md-ellipsis> Text Classification </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Batch Classification (User Defined) </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Batch Classification (User Defined) </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-the-structures class=md-nav__link> <span class=md-ellipsis> Defining the Structures </span> </a> </li> <li class=md-nav__item> <a href=#implementing-the-classification class=md-nav__link> <span class=md-ellipsis> Implementing the Classification </span> </a> </li> <li class=md-nav__item> <a href=#what-happens-in-production class=md-nav__link> <span class=md-ellipsis> What happens in production? </span> </a> </li> <li class=md-nav__item> <a href=#improving-the-model class=md-nav__link> <span class=md-ellipsis> Improving the Model </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../self_critique/ class=md-nav__link> <span class=md-ellipsis> LLM Self Critique </span> </a> </li> <li class=md-nav__item> <a href=../extracting_tables/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables with GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../extract_slides/ class=md-nav__link> <span class=md-ellipsis> Extracting From Slides with GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../moderation/ class=md-nav__link> <span class=md-ellipsis> Content Moderation </span> </a> </li> <li class=md-nav__item> <a href=../exact_citations/ class=md-nav__link> <span class=md-ellipsis> Citing Sources (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Extracting Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../entity_resolution/ class=md-nav__link> <span class=md-ellipsis> Extracting Complex Entities </span> </a> </li> <li class=md-nav__item> <a href=../search/ class=md-nav__link> <span class=md-ellipsis> Expanding Search Queries (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../planning-tasks/ class=md-nav__link> <span class=md-ellipsis> Query Planning (RAG) </span> </a> 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</li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-the-structures class=md-nav__link> <span class=md-ellipsis> Defining the Structures </span> </a> </li> <li class=md-nav__item> <a href=#implementing-the-classification class=md-nav__link> <span class=md-ellipsis> Implementing the Classification </span> </a> </li> <li class=md-nav__item> <a href=#what-happens-in-production class=md-nav__link> <span class=md-ellipsis> What happens in production? </span> </a> </li> <li class=md-nav__item> <a href=#improving-the-model class=md-nav__link> <span class=md-ellipsis> Improving the Model </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/batch_classification.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/batch_classification.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=bulk-classification-from-user-provided-tags>Bulk Classification from User-Provided Tags.<a class=headerlink href=#bulk-classification-from-user-provided-tags title="Permanent link">&para;</a></h1> <p>This tutorial shows how to do classification from user provided tags. This is valuable when you want to provide services that allow users to do some kind of classification.</p> <div class="admonition tips"> <p class=admonition-title>Motivation</p> <p>Imagine allowing the user to upload documents as part of a RAG application. Oftentimes, we might want to allow the user to specify an existing set of tags, give descriptions, and do the classification for them.</p> </div> <h2 id=defining-the-structures>Defining the Structures<a class=headerlink href=#defining-the-structures title="Permanent link">&para;</a></h2> <p>One of the easy things to do is to allow users to define a set of tags in some kind of schema and save that in a database. Here's an example of a schema that we might use:</p> <table> <thead> <tr> <th>tag_id</th> <th>name</th> <th>instructions</th> </tr> </thead> <tbody> <tr> <td>0</td> <td>personal</td> <td>Personal information</td> </tr> <tr> <td>1</td> <td>phone</td> <td>Phone number</td> </tr> <tr> <td>2</td> <td>email</td> <td>Email address</td> </tr> <tr> <td>3</td> <td>address</td> <td>Address</td> </tr> <tr> <td>4</td> <td>Other</td> <td>Other information</td> </tr> </tbody> </table> <ol> <li><strong>tag_id</strong> — The unique identifier for the tag.</li> <li><strong>name</strong> — The name of the tag.</li> <li><strong>instructions</strong> — A description of the tag, which can be used as a prompt to describe the tag.</li> </ol> <h2 id=implementing-the-classification>Implementing the Classification<a class=headerlink href=#implementing-the-classification title="Permanent link">&para;</a></h2> <p>In order to do this we'll do a couple of things:</p> <ol> <li>We'll use the <code>instructor</code> library to patch the <code>openai</code> library to use the <code>AsyncOpenAI</code> client.</li> <li>Implement a <code>Tag</code> model that will be used to validate the tags from the context. (This will allow us to avoid hallucinating tags that are not in the context.)</li> <li>Helper models for the request and response.</li> <li>An async function to do the classification.</li> <li>A main function to run the classification using the <code>asyncio.gather</code> function to run the classification in parallel.</li> </ol> <p>If you want to learn more about how to do bad computations, check out our post on AsyncIO <a href=../../blog/2023/11/13/learn-async/ >here</a>.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>openai</span>
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href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#single-label-classification class=md-nav__link> <span class=md-ellipsis> Single-Label Classification </span> </a> <nav class=md-nav aria-label="Single-Label Classification"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#defining-the-structures class=md-nav__link> <span class=md-ellipsis> Defining the Structures </span> </a> </li> <li class=md-nav__item> <a href=#classifying-text class=md-nav__link> <span class=md-ellipsis> Classifying Text </span> </a> </li> <li class=md-nav__item> <a href=#testing-and-evaluation class=md-nav__link> <span class=md-ellipsis> Testing and Evaluation </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#multi-label-classification class=md-nav__link> <span class=md-ellipsis> Multi-Label Classification </span> </a> <nav class=md-nav aria-label="Multi-Label Classification"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#defining-the-structures_1 class=md-nav__link> <span class=md-ellipsis> Defining the Structures </span> </a> </li> <li class=md-nav__item> <a href=#classifying-text_1 class=md-nav__link> <span class=md-ellipsis> Classifying Text </span> </a> </li> <li class=md-nav__item> <a href=#testing-and-evaluation_1 class=md-nav__link> <span class=md-ellipsis> Testing and Evaluation </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/classification.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/classification.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=example-text-classification-using-openai-and-pydantic>Example: Text Classification using OpenAI and Pydantic<a class=headerlink href=#example-text-classification-using-openai-and-pydantic title="Permanent link">&para;</a></h1> <p>This tutorial showcases how to implement text classification tasks—specifically, single-label and multi-label classifications—using the OpenAI API, Python's <strong><code>enum</code></strong> module, and Pydantic models.</p> <div class="admonition tips"> <p class=admonition-title>Motivation</p> <p>Text classification is a common problem in many NLP applications, such as spam detection or support ticket categorization. The goal is to provide a systematic way to handle these cases using OpenAI's GPT models in combination with Python data structures.</p> </div> <h2 id=single-label-classification>Single-Label Classification<a class=headerlink href=#single-label-classification title="Permanent link">&para;</a></h2> <h3 id=defining-the-structures>Defining the Structures<a class=headerlink href=#defining-the-structures title="Permanent link">&para;</a></h3> <p>For single-label classification, we first define an <strong><code>enum</code></strong> for possible labels and a Pydantic model for the output.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>enum</span>
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" for=__nav_2 id=__nav_2_label tabindex> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_2_label aria-expanded=true> <label class=md-nav__title for=__nav_2> <span class="md-nav__icon md-icon"></span> Cookbook </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../classification/ class=md-nav__link> <span class=md-ellipsis> Text Classification </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification/ class=md-nav__link> <span class=md-ellipsis> Batch Classification (User Defined) </span> </a> </li> <li class=md-nav__item> <a href=../self_critique/ class=md-nav__link> <span class=md-ellipsis> LLM Self Critique </span> </a> </li> <li class=md-nav__item> <a href=../extracting_tables/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables with GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../extract_slides/ class=md-nav__link> <span class=md-ellipsis> Extracting From Slides with GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../moderation/ class=md-nav__link> <span class=md-ellipsis> Content Moderation </span> </a> </li> <li class=md-nav__item> <a href=../exact_citations/ class=md-nav__link> <span class=md-ellipsis> Citing Sources (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Extracting Knowledge Graphs </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Extracting Complex Entities </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Extracting Complex Entities </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-the-data-structures class=md-nav__link> <span class=md-ellipsis> Defining the Data Structures </span> </a> </li> <li class=md-nav__item> <a href=#entity-extraction-and-resolution class=md-nav__link> <span class=md-ellipsis> Entity Extraction and Resolution </span> </a> </li> <li class=md-nav__item> <a href=#graph-visualization class=md-nav__link> <span class=md-ellipsis> Graph Visualization </span> </a> </li> <li class=md-nav__item> <a href=#execution class=md-nav__link> <span class=md-ellipsis> Execution </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../search/ class=md-nav__link> <span class=md-ellipsis> Expanding Search Queries (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../planning-tasks/ class=md-nav__link> <span class=md-ellipsis> Query Planning (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../pii/ class=md-nav__link> <span class=md-ellipsis> PII Data Sanitization </span> </a> </li> <li class=md-nav__item> <a href=../open_source/ class=md-nav__link> <span class=md-ellipsis> Enabling Open Source Models </span> </a> </li> <li class=md-nav__item> <a href=../image_to_ad_copy/ class=md-nav__link> <span class=md-ellipsis> Image to Ad Copy </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Ollama </span> </a> </li> <li class=md-nav__item> <a href=../sqlmodel/ class=md-nav__link> <span class=md-ellipsis> SQLModel Integration </span> </a> </li> <li class=md-nav__item> <a href=../examples/ class=md-nav__link> <span class=md-ellipsis> Including Examples in Prompt </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../blog/ class=md-nav__link> <span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-the-data-structures class=md-nav__link> <span class=md-ellipsis> Defining the Data Structures </span> </a> </li> <li class=md-nav__item> <a href=#entity-extraction-and-resolution class=md-nav__link> <span class=md-ellipsis> Entity Extraction and Resolution </span> </a> </li> <li class=md-nav__item> <a href=#graph-visualization class=md-nav__link> <span class=md-ellipsis> Graph Visualization </span> </a> </li> <li class=md-nav__item> <a href=#execution class=md-nav__link> <span class=md-ellipsis> Execution </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/entity_resolution.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/entity_resolution.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=entity-resolution-and-visualization-for-legal-documents>Entity Resolution and Visualization for Legal Documents<a class=headerlink href=#entity-resolution-and-visualization-for-legal-documents title="Permanent link">&para;</a></h1> <p>In this guide, we demonstrate how to extract and resolve entities from a sample legal contract. Then, we visualize these entities and their dependencies as an entity graph. This approach can be invaluable for legal tech applications, aiding in the understanding of complex documents.</p> <div class="admonition tips"> <p class=admonition-title>Motivation</p> <p>Legal contracts are full of intricate details and interconnected clauses. Automatically extracting and visualizing these elements can make it easier to understand the document's overall structure and terms.</p> </div> <h2 id=defining-the-data-structures>Defining the Data Structures<a class=headerlink href=#defining-the-data-structures title="Permanent link">&para;</a></h2> <p>The <strong><code>Entity</code></strong> and <strong><code>Property</code></strong> classes model extracted entities and their attributes. <strong><code>DocumentExtraction</code></strong> encapsulates a list of these entities.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>pydantic</span> <span class=kn>import</span> <span class=n>BaseModel</span><span class=p>,</span> <span class=n>Field</span>
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class=md-nav aria-label="Data Structures"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#the-fact-class class=md-nav__link> <span class=md-ellipsis> The Fact Class </span> </a> <nav class=md-nav aria-label="The Fact Class"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#validation-method-validate_sources class=md-nav__link> <span class=md-ellipsis> Validation Method: validate_sources </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#the-questionanswer-class class=md-nav__link> <span class=md-ellipsis> The QuestionAnswer Class </span> </a> <nav class=md-nav aria-label="The QuestionAnswer Class"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#validation-method-validate_sources_1 class=md-nav__link> <span class=md-ellipsis> Validation Method: validate_sources </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#function-to-ask-ai-a-question class=md-nav__link> <span class=md-ellipsis> Function to Ask 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href=../pii/ class=md-nav__link> <span class=md-ellipsis> PII Data Sanitization </span> </a> </li> <li class=md-nav__item> <a href=../open_source/ class=md-nav__link> <span class=md-ellipsis> Enabling Open Source Models </span> </a> </li> <li class=md-nav__item> <a href=../image_to_ad_copy/ class=md-nav__link> <span class=md-ellipsis> Image to Ad Copy </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Ollama </span> </a> </li> <li class=md-nav__item> <a href=../sqlmodel/ class=md-nav__link> <span class=md-ellipsis> SQLModel Integration </span> </a> </li> <li class=md-nav__item> <a href=../examples/ class=md-nav__link> <span class=md-ellipsis> Including Examples in Prompt </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../blog/ class=md-nav__link> <span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#overview class=md-nav__link> <span class=md-ellipsis> Overview </span> </a> </li> <li class=md-nav__item> <a href=#data-structures class=md-nav__link> <span class=md-ellipsis> Data Structures </span> </a> <nav class=md-nav aria-label="Data Structures"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#the-fact-class class=md-nav__link> <span class=md-ellipsis> The Fact Class </span> </a> <nav class=md-nav aria-label="The Fact Class"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#validation-method-validate_sources class=md-nav__link> <span class=md-ellipsis> Validation Method: validate_sources </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#the-questionanswer-class class=md-nav__link> <span class=md-ellipsis> The QuestionAnswer Class </span> </a> <nav class=md-nav aria-label="The QuestionAnswer Class"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#validation-method-validate_sources_1 class=md-nav__link> <span class=md-ellipsis> Validation Method: validate_sources </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#function-to-ask-ai-a-question class=md-nav__link> <span class=md-ellipsis> Function to Ask AI a Question </span> </a> <nav class=md-nav aria-label="Function to Ask AI a Question"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#the-ask_ai-function class=md-nav__link> <span class=md-ellipsis> The ask_ai Function </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#example class=md-nav__link> <span class=md-ellipsis> Example </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/exact_citations.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/exact_citations.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=example-answering-questions-with-validated-citations>Example: Answering Questions with Validated Citations<a class=headerlink href=#example-answering-questions-with-validated-citations title="Permanent link">&para;</a></h1> <p>For the full code example check out <a href=https://github.com/jxnl/instructor/blob/main/examples/citation_with_extraction/citation_fuzzy_match.py>examples/citation_fuzzy_match.py</a></p> <h2 id=overview>Overview<a class=headerlink href=#overview title="Permanent link">&para;</a></h2> <p>This example shows how to use Instructor with validators to not only add citations to answers generated but also prevent hallucinations by ensuring that every statement made by the LLM is backed up by a direct quote from the context provided, and that those quotes exist!.Two Python classes, <code>Fact</code> and <code>QuestionAnswer</code>, are defined to encapsulate the information of individual facts and the entire answer, respectively.</p> <h2 id=data-structures>Data Structures<a class=headerlink href=#data-structures title="Permanent link">&para;</a></h2> <h3 id=the-fact-class>The <code>Fact</code> Class<a class=headerlink href=#the-fact-class title="Permanent link">&para;</a></h3> <p>The <code>Fact</code> class encapsulates a single statement or fact. It contains two fields:</p> <ul> <li><code>fact</code>: A string representing the body of the fact or statement.</li> <li><code>substring_quote</code>: A list of strings. Each string is a direct quote from the context that supports the <code>fact</code>.</li> </ul> <h4 id=validation-method-validate_sources>Validation Method: <code>validate_sources</code><a class=headerlink href=#validation-method-validate_sources title="Permanent link">&para;</a></h4> <p>This method validates the sources (<code>substring_quote</code>) in the context. It utilizes regex to find the span of each substring quote in the given context. If the span is not found, the quote is removed from the list.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>pydantic</span> <span class=kn>import</span> <span class=n>Field</span><span class=p>,</span> <span class=n>BaseModel</span><span class=p>,</span> <span class=n>model_validator</span><span class=p>,</span> <span class=n>ValidationInfo</span>
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<div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/examples.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/examples.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=how-should-i-include-examples>How should I include examples?<a class=headerlink href=#how-should-i-include-examples title="Permanent link">&para;</a></h1> <p>To enhance the clarity and usability of your model and prompt, incorporating examples directly into the JSON schema extra of your Pydantic model is highly recommended. This approach not only streamlines the integration of practical examples but also ensures that they are easily accessible and understandable within the context of your model's schema.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>openai</span>
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id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Extracting From Slides with GPT-V </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Extracting From Slides with GPT-V </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-the-necessary-data-structures class=md-nav__link> <span class=md-ellipsis> Defining the necessary Data Structures </span> </a> </li> <li class=md-nav__item> <a href=#competitors-extraction class=md-nav__link> <span class=md-ellipsis> Competitors extraction </span> </a> </li> <li class=md-nav__item> <a href=#execution class=md-nav__link> <span class=md-ellipsis> Execution </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../moderation/ class=md-nav__link> <span class=md-ellipsis> Content Moderation </span> </a> </li> <li class=md-nav__item> <a href=../exact_citations/ class=md-nav__link> <span class=md-ellipsis> Citing Sources (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Extracting Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../entity_resolution/ class=md-nav__link> <span class=md-ellipsis> Extracting Complex Entities </span> </a> </li> <li class=md-nav__item> <a href=../search/ class=md-nav__link> <span class=md-ellipsis> Expanding Search Queries (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../planning-tasks/ class=md-nav__link> <span class=md-ellipsis> Query Planning (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../pii/ class=md-nav__link> <span class=md-ellipsis> PII Data Sanitization </span> </a> </li> <li class=md-nav__item> <a href=../open_source/ class=md-nav__link> <span class=md-ellipsis> Enabling Open Source Models </span> </a> </li> <li class=md-nav__item> <a href=../image_to_ad_copy/ class=md-nav__link> <span class=md-ellipsis> Image to Ad Copy </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Ollama </span> </a> </li> <li class=md-nav__item> <a href=../sqlmodel/ class=md-nav__link> <span class=md-ellipsis> SQLModel Integration </span> </a> </li> <li class=md-nav__item> <a href=../examples/ class=md-nav__link> <span class=md-ellipsis> Including Examples in Prompt </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../blog/ class=md-nav__link> <span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-the-necessary-data-structures class=md-nav__link> <span class=md-ellipsis> Defining the necessary Data Structures </span> </a> </li> <li class=md-nav__item> <a href=#competitors-extraction class=md-nav__link> <span class=md-ellipsis> Competitors extraction </span> </a> </li> <li class=md-nav__item> <a href=#execution class=md-nav__link> <span class=md-ellipsis> Execution </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/extract_slides.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/extract_slides.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=data-extraction-from-slides>Data extraction from slides<a class=headerlink href=#data-extraction-from-slides title="Permanent link">&para;</a></h1> <p>In this guide, we demonstrate how to extract data from slides.</p> <div class="admonition tips"> <p class=admonition-title>Motivation</p> </div> <p>When we want to translate key information from slides into structured data, simply isolating the text and running extraction might not be enough. Sometimes the important data is in the images on the slides, so we should consider including them in our extraction pipeline.</p> <h2 id=defining-the-necessary-data-structures>Defining the necessary Data Structures<a class=headerlink href=#defining-the-necessary-data-structures title="Permanent link">&para;</a></h2> <p>Let's say we want to extract the competitors from various presentations and categorize them according to their respective industries.</p> <p>Our data model will have <code>Industry</code> which will be a list of <code>Competitor</code>'s for a specific industry, and <code>Competition</code> which will aggregate the competitors for all the industries.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>openai</span> <span class=kn>import</span> <span class=n>OpenAI</span>
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5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"/></svg> </div> <div class=md-source__repository> instructor </div> </a> </div> <ul class=md-nav__list data-md-scrollfix> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../.. class=md-nav__link> <span class=md-ellipsis> Introduction </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_2 checked> <div class="md-nav__link md-nav__container"> <a href=../ class="md-nav__link "> <span class=md-ellipsis> Cookbook </span> </a> <label class="md-nav__link " for=__nav_2 id=__nav_2_label tabindex> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_2_label aria-expanded=true> <label class=md-nav__title for=__nav_2> <span class="md-nav__icon md-icon"></span> Cookbook </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../classification/ class=md-nav__link> <span class=md-ellipsis> Text Classification </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification/ class=md-nav__link> <span class=md-ellipsis> Batch Classification (User Defined) </span> </a> </li> <li class=md-nav__item> <a href=../self_critique/ class=md-nav__link> <span class=md-ellipsis> LLM Self Critique </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Extracting Tables with GPT-V </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Extracting Tables with GPT-V </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#building-the-custom-type-for-markdown-tables class=md-nav__link> <span class=md-ellipsis> Building the Custom Type for Markdown Tables </span> </a> </li> <li class=md-nav__item> <a href=#defining-the-table-class class=md-nav__link> <span class=md-ellipsis> Defining the Table Class </span> </a> </li> <li class=md-nav__item> <a href=#extracting-tables-from-images class=md-nav__link> <span class=md-ellipsis> Extracting Tables from Images </span> </a> </li> <li class=md-nav__item> <a href=#practical-example class=md-nav__link> <span class=md-ellipsis> Practical Example </span> </a> <nav class=md-nav aria-label="Practical Example"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#top-10-grossing-apps-in-october-2023-ireland-for-android-platforms class=md-nav__link> <span class=md-ellipsis> Top 10 Grossing Apps in October 2023 (Ireland) for Android Platforms </span> </a> </li> <li class=md-nav__item> <a href=#top-10-grossing-apps-in-october-2023-ireland-for-ios-platforms class=md-nav__link> <span class=md-ellipsis> Top 10 Grossing Apps in October 2023 (Ireland) for iOS Platforms </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../extract_slides/ class=md-nav__link> <span class=md-ellipsis> Extracting From Slides with GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../moderation/ class=md-nav__link> <span class=md-ellipsis> Content Moderation </span> </a> </li> <li class=md-nav__item> <a href=../exact_citations/ class=md-nav__link> <span class=md-ellipsis> Citing Sources (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Extracting Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../entity_resolution/ class=md-nav__link> <span class=md-ellipsis> Extracting Complex Entities </span> </a> </li> <li class=md-nav__item> <a href=../search/ class=md-nav__link> <span class=md-ellipsis> Expanding Search Queries (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../planning-tasks/ class=md-nav__link> <span class=md-ellipsis> Query Planning (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../pii/ class=md-nav__link> <span class=md-ellipsis> PII Data Sanitization </span> </a> </li> <li class=md-nav__item> <a href=../open_source/ class=md-nav__link> <span class=md-ellipsis> Enabling Open Source Models </span> </a> </li> <li class=md-nav__item> <a href=../image_to_ad_copy/ class=md-nav__link> <span class=md-ellipsis> Image to Ad Copy </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Ollama </span> </a> </li> <li class=md-nav__item> <a href=../sqlmodel/ class=md-nav__link> <span class=md-ellipsis> SQLModel Integration </span> </a> </li> <li class=md-nav__item> <a href=../examples/ class=md-nav__link> <span class=md-ellipsis> Including Examples in Prompt </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../blog/ class=md-nav__link> <span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#building-the-custom-type-for-markdown-tables class=md-nav__link> <span class=md-ellipsis> Building the Custom Type for Markdown Tables </span> </a> </li> <li class=md-nav__item> <a href=#defining-the-table-class class=md-nav__link> <span class=md-ellipsis> Defining the Table Class </span> </a> </li> <li class=md-nav__item> <a href=#extracting-tables-from-images class=md-nav__link> <span class=md-ellipsis> Extracting Tables from Images </span> </a> </li> <li class=md-nav__item> <a href=#practical-example class=md-nav__link> <span class=md-ellipsis> Practical Example </span> </a> <nav class=md-nav aria-label="Practical Example"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#top-10-grossing-apps-in-october-2023-ireland-for-android-platforms class=md-nav__link> <span class=md-ellipsis> Top 10 Grossing Apps in October 2023 (Ireland) for Android Platforms </span> </a> </li> <li class=md-nav__item> <a href=#top-10-grossing-apps-in-october-2023-ireland-for-ios-platforms class=md-nav__link> <span class=md-ellipsis> Top 10 Grossing Apps in October 2023 (Ireland) for iOS Platforms </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/extracting_tables.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/extracting_tables.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=extracting-tables-using-gpt-vision>Extracting Tables using GPT-Vision<a class=headerlink href=#extracting-tables-using-gpt-vision title="Permanent link">&para;</a></h1> <p>This post demonstrates how to use Python's type annotations and OpenAI's new vision model to extract tables from images and convert them into markdown format. This method is particularly useful for data analysis and automation tasks.</p> <p>The full code is available on <a href=https://github.com/jxnl/instructor/blob/main/examples/vision/run_table.py>GitHub</a></p> <h2 id=building-the-custom-type-for-markdown-tables>Building the Custom Type for Markdown Tables<a class=headerlink href=#building-the-custom-type-for-markdown-tables title="Permanent link">&para;</a></h2> <p>First, we define a custom type, <code>MarkdownDataFrame</code>, to handle pandas DataFrames formatted in markdown. This type uses Python's <code>Annotated</code> and <code>InstanceOf</code> types, along with decorators <code>BeforeValidator</code> and <code>PlainSerializer</code>, to process and serialize the data.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>io</span> <span class=kn>import</span> <span class=n>StringIO</span>
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class=md-nav__link> <span class=md-ellipsis> Enabling Open Source Models </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Image to Ad Copy </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Image to Ad Copy </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#building-the-models class=md-nav__link> <span class=md-ellipsis> Building the models </span> </a> <nav class=md-nav aria-label="Building the models"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#product class=md-nav__link> <span class=md-ellipsis> Product </span> </a> </li> <li class=md-nav__item> <a href=#identified-product class=md-nav__link> <span class=md-ellipsis> Identified Product </span> </a> </li> <li class=md-nav__item> <a href=#advertising-copy class=md-nav__link> <span class=md-ellipsis> Advertising Copy </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#calling-the-api class=md-nav__link> <span class=md-ellipsis> Calling the API </span> </a> <nav class=md-nav aria-label="Calling the API"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#product-detection class=md-nav__link> <span class=md-ellipsis> Product Detection </span> </a> </li> <li class=md-nav__item> <a href=#generate-advertising-copy class=md-nav__link> <span class=md-ellipsis> Generate advertising copy </span> </a> </li> <li class=md-nav__item> <a href=#putting-it-all-together class=md-nav__link> <span class=md-ellipsis> Putting it all together </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a 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href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#building-the-models class=md-nav__link> <span class=md-ellipsis> Building the models </span> </a> <nav class=md-nav aria-label="Building the models"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#product class=md-nav__link> <span class=md-ellipsis> Product </span> </a> </li> <li class=md-nav__item> <a href=#identified-product class=md-nav__link> <span class=md-ellipsis> Identified Product </span> </a> </li> <li class=md-nav__item> <a href=#advertising-copy class=md-nav__link> <span class=md-ellipsis> Advertising Copy </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#calling-the-api class=md-nav__link> <span class=md-ellipsis> Calling the API </span> </a> <nav class=md-nav aria-label="Calling the API"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#product-detection class=md-nav__link> <span class=md-ellipsis> Product Detection </span> </a> </li> <li class=md-nav__item> <a href=#generate-advertising-copy class=md-nav__link> <span class=md-ellipsis> Generate advertising copy </span> </a> </li> <li class=md-nav__item> <a href=#putting-it-all-together class=md-nav__link> <span class=md-ellipsis> Putting it all together </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#input-file class=md-nav__link> <span class=md-ellipsis> Input file </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/image_to_ad_copy.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/image_to_ad_copy.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=use-vision-api-to-detect-products-and-generate-advertising-copy>Use Vision API to detect products and generate advertising copy<a class=headerlink href=#use-vision-api-to-detect-products-and-generate-advertising-copy title="Permanent link">&para;</a></h1> <p>This post demonstrates how to use GPT-4 Vision API and the Chat API to automatically generate advertising copy from product images. This method can be useful for marketing and advertising teams, as well as for e-commerce platforms.</p> <p>The full code is available on <a href=https://www.github.com/jxnl/instructor/tree/main/examples/vision/image_to_ad_copy.py>GitHub</a>.</p> <h2 id=building-the-models>Building the models<a class=headerlink href=#building-the-models title="Permanent link">&para;</a></h2> <h3 id=product>Product<a class=headerlink href=#product title="Permanent link">&para;</a></h3> <p>For the <code>Product</code> model, we define a class that represents a product extracted from an image and store the name, key features, and description. The product attributes are dynamically determined based on the content of the image.</p> <p>Note that it is easy to add <a href=https://jxnl.github.io/instructor/concepts/reask_validation/ >Validators</a> and other Pydantic features to the model to ensure that the data is valid and consistent.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>pydantic</span> <span class=kn>import</span> <span class=n>BaseModel</span><span class=p>,</span> <span class=n>Field</span>
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class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#quick-links class=md-nav__link> <span class=md-ellipsis> Quick Links </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/index.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/index.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=function-calls-by-example>Function Calls by Example<a class=headerlink href=#function-calls-by-example title="Permanent link">&para;</a></h1> <h2 id=quick-links>Quick Links<a class=headerlink href=#quick-links title="Permanent link">&para;</a></h2> <ol> <li><a href=classification/ >How are single and multi-label classifications done using enums?</a></li> <li><a href=self_critique/ >How is AI self-assessment implemented with <code>llm_validator</code>?</a></li> <li><a href=batch_classification/ >How to do classification in batch from user provided classes.</a></li> <li><a href=exact_citations/ >How are exact citations retrieved using regular expressions and smart prompting?</a></li> <li><a href=search/ >How are search queries segmented through function calling and multi-task definitions?</a></li> <li><a href=knowledge_graph/ >How are knowledge graphs generated from questions?</a></li> <li><a href=planning-tasks/ >How are complex queries decomposed into subqueries in a single request?</a></li> <li><a href=entity_resolution/ >How are entities extracted and resolved from documents?</a></li> <li><a href=pii/ >How is Personally Identifiable Information sanitized from documents?</a></li> <li><a href=../hub/action_items/ >How are action items and dependencies generated from transcripts?</a></li> <li><a href=moderation/ >How to enable OpenAI's moderation</a></li> <li><a href=extracting_tables/ >How to extract tables using GPT-Vision?</a></li> <li><a href=image_to_ad_copy/ >How to generate advertising copy from image inputs</a></li> <li><a href=ollama/ >How to use local models from Ollama</a></li> <li><a href=sqlmodel/ >How to store responses in a database with SQLModel</a></li> </ol> <p>Explore more!</p> <form class=md-feedback name=feedback hidden> <fieldset> <legend class=md-feedback__title> Was this page helpful? </legend> <div 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diff --git a/examples/knowledge_graph/index.html b/examples/knowledge_graph/index.html
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Extracting From Slides with GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../moderation/ class=md-nav__link> <span class=md-ellipsis> Content Moderation </span> </a> </li> <li class=md-nav__item> <a href=../exact_citations/ class=md-nav__link> <span class=md-ellipsis> Citing Sources (RAG) </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Extracting Knowledge Graphs </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Extracting Knowledge Graphs </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-the-structures class=md-nav__link> <span class=md-ellipsis> Defining the Structures </span> </a> </li> <li class=md-nav__item> <a href=#generating-knowledge-graphs class=md-nav__link> <span class=md-ellipsis> Generating Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=#visualizing-the-graph class=md-nav__link> <span class=md-ellipsis> Visualizing the Graph </span> </a> </li> <li class=md-nav__item> <a href=#iterative-updates class=md-nav__link> <span class=md-ellipsis> Iterative Updates </span> </a> <nav class=md-nav aria-label="Iterative Updates"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#updating-our-data-model class=md-nav__link> <span class=md-ellipsis> Updating Our Data Model </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#conclusion class=md-nav__link> <span class=md-ellipsis> Conclusion </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../entity_resolution/ class=md-nav__link> <span class=md-ellipsis> Extracting Complex Entities </span> </a> </li> <li class=md-nav__item> <a href=../search/ class=md-nav__link> <span class=md-ellipsis> Expanding Search Queries (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../planning-tasks/ class=md-nav__link> <span class=md-ellipsis> Query Planning (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../pii/ class=md-nav__link> <span class=md-ellipsis> PII Data Sanitization </span> </a> </li> <li class=md-nav__item> <a href=../open_source/ class=md-nav__link> <span class=md-ellipsis> Enabling Open Source Models </span> </a> </li> <li class=md-nav__item> <a href=../image_to_ad_copy/ class=md-nav__link> <span class=md-ellipsis> Image to Ad Copy </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Ollama </span> </a> </li> <li class=md-nav__item> <a href=../sqlmodel/ class=md-nav__link> <span class=md-ellipsis> SQLModel Integration </span> </a> </li> <li class=md-nav__item> <a href=../examples/ class=md-nav__link> <span class=md-ellipsis> Including Examples in Prompt </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../blog/ class=md-nav__link> <span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-the-structures class=md-nav__link> <span class=md-ellipsis> Defining the Structures </span> </a> </li> <li class=md-nav__item> <a href=#generating-knowledge-graphs class=md-nav__link> <span class=md-ellipsis> Generating Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=#visualizing-the-graph class=md-nav__link> <span class=md-ellipsis> Visualizing the Graph </span> </a> </li> <li class=md-nav__item> <a href=#iterative-updates class=md-nav__link> <span class=md-ellipsis> Iterative Updates </span> </a> <nav class=md-nav aria-label="Iterative Updates"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#updating-our-data-model class=md-nav__link> <span class=md-ellipsis> Updating Our Data Model </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#conclusion class=md-nav__link> <span class=md-ellipsis> Conclusion </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/knowledge_graph.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/knowledge_graph.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=visualizing-knowledge-graphs-for-complex-topics>Visualizing Knowledge Graphs for Complex Topics<a class=headerlink href=#visualizing-knowledge-graphs-for-complex-topics title="Permanent link">&para;</a></h1> <p>In this guide, you'll discover how to visualise a detailed knowledge graph when dealing with complex topics. We'll then move on to iteratively updating our knowledge graph with new information through a series of sequential api calls using only the Instructor library, Pydantic and Graphviz to visualise our graph.</p> <div class="admonition tips"> <p class=admonition-title>Motivation</p> <p>Knowledge graphs offer a visually appealing and coherent way to understand complicated topics like quantum mechanics. By generating these graphs automatically, you can accelerate the learning process and make it easier to digest complex information.</p> </div> <h2 id=defining-the-structures>Defining the Structures<a class=headerlink href=#defining-the-structures title="Permanent link">&para;</a></h2> <p>Let's model a knowledge graph with <strong><code>Node</code></strong> and <strong><code>Edge</code></strong> objects. <strong><code>Node</code></strong> objects represent key concepts or entities, while <strong><code>Edge</code></strong> objects indicate the relationships between them.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>pydantic</span> <span class=kn>import</span> <span class=n>BaseModel</span><span class=p>,</span> <span class=n>Field</span>
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class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Content Moderation </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Content Moderation </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#incorporating-openai-moderation-validator class=md-nav__link> <span class=md-ellipsis> Incorporating OpenAI moderation validator </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../exact_citations/ class=md-nav__link> <span class=md-ellipsis> Citing Sources (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Extracting Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../entity_resolution/ class=md-nav__link> <span class=md-ellipsis> Extracting Complex Entities </span> </a> </li> <li class=md-nav__item> <a href=../search/ class=md-nav__link> <span class=md-ellipsis> Expanding Search Queries (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../planning-tasks/ class=md-nav__link> <span class=md-ellipsis> Query Planning (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../pii/ class=md-nav__link> <span class=md-ellipsis> PII Data Sanitization </span> </a> </li> <li class=md-nav__item> <a href=../open_source/ class=md-nav__link> <span class=md-ellipsis> Enabling Open Source Models </span> </a> </li> <li class=md-nav__item> <a href=../image_to_ad_copy/ class=md-nav__link> <span class=md-ellipsis> Image to Ad Copy </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Ollama </span> </a> </li> <li class=md-nav__item> <a href=../sqlmodel/ class=md-nav__link> <span class=md-ellipsis> SQLModel Integration </span> </a> </li> <li class=md-nav__item> <a href=../examples/ class=md-nav__link> <span class=md-ellipsis> Including Examples in Prompt </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../blog/ class=md-nav__link> <span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#incorporating-openai-moderation-validator class=md-nav__link> <span class=md-ellipsis> Incorporating OpenAI moderation validator </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/moderation.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/moderation.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=openai-moderation>OpenAI Moderation<a class=headerlink href=#openai-moderation title="Permanent link">&para;</a></h1> <p>This example uses OpenAI's moderation endpoint to check content compliance with OpenAI's usage policies. It can identify and filter harmful content that violates the policies.</p> <p>The model flags content and classifies it into categories including hate, harassment, self-harm, sexual content, and violence. Each category has subcategories for detailed classification.</p> <p>This validator is to be used for monitoring OpenAI API inputs and outputs, other use cases are currently <a href=https://platform.openai.com/docs/guides/moderation/overview>not allowed</a>.</p> <h2 id=incorporating-openai-moderation-validator>Incorporating OpenAI moderation validator<a class=headerlink href=#incorporating-openai-moderation-validator title="Permanent link">&para;</a></h2> <p>The following code defines a function to validate content using OpenAI's Moderation endpoint. The <code>AfterValidator</code> is used to apply OpenAI's moderation after the compute. This moderation checks if the content complies with OpenAI's usage policies and flags any harmful content. Here's how it works:</p> <ol> <li> <p>Generate the OpenAI client and patch it with the <code>instructor</code>. Patching is not strictly necessary for this example but its a good idea to always patch the client to leverage the full <code>instructor</code> functionality.</p> </li> <li> <p>Annotate our <code>message</code> field with <code>AfterValidator(openai_moderation(client=client))</code>. This means that after the <code>message</code> is computed, it will be passed to the <code>openai_moderation</code> function for validation.</p> </li> </ol> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>instructor</span>
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class=md-nav__link> <span class=md-ellipsis> Enabling Open Source Models </span> </a> </li> <li class=md-nav__item> <a href=../image_to_ad_copy/ class=md-nav__link> <span class=md-ellipsis> Image to Ad Copy </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Ollama </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Ollama </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#patching class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=#ollama 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<a href=#ollama class=md-nav__link> <span class=md-ellipsis> Ollama </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/ollama.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/ollama.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=structured-outputs-with-ollama>Structured Outputs with Ollama<a class=headerlink href=#structured-outputs-with-ollama title="Permanent link">&para;</a></h1> <p>Open-source LLMS are gaining popularity, and with the release of Ollama's OpenAI compatibility layer, it has become possible to obtain structured outputs using JSON schema.</p> <p>By the end of this blog post, you will learn how to effectively utilize instructor with Ollama. But before we proceed, let's first explore the concept of patching.</p> <h2 id=patching>Patching<a class=headerlink href=#patching title="Permanent link">&para;</a></h2> <p>Instructor's patch enhances an openai api with the following features:</p> <ul> <li><code>response_model</code> in <code>create</code> calls that returns a pydantic model</li> <li><code>max_retries</code> in <code>create</code> calls that retries the call if it fails by using a backoff strategy</li> </ul> <div class="admonition note"> <p class=admonition-title>Learn More</p> <p>To learn more, please refer to the <a href=../../ >docs</a>. To understand the benefits of using Pydantic with Instructor, visit the tips and tricks section of the <a href=../../why/ >why use Pydantic</a> page.</p> </div> <h2 id=ollama>Ollama<a class=headerlink href=#ollama title="Permanent link">&para;</a></h2> <p>Start by downloading <a href=https://ollama.ai/download>Ollama</a>, and then pull a model such as Llama 2 or Mistral.</p> <div class="admonition tip"> <p class=admonition-title>Make sure you update your <code>ollama</code> to the latest version!</p> </div> <div class="language-text highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>ollama pull llama2
diff --git a/examples/open_source/index.html b/examples/open_source/index.html
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Extracting From Slides with GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../moderation/ class=md-nav__link> <span class=md-ellipsis> Content Moderation </span> </a> </li> <li class=md-nav__item> <a href=../exact_citations/ class=md-nav__link> <span class=md-ellipsis> Citing Sources (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Extracting Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../entity_resolution/ class=md-nav__link> <span class=md-ellipsis> Extracting Complex Entities </span> </a> </li> <li class=md-nav__item> <a href=../search/ class=md-nav__link> <span class=md-ellipsis> Expanding Search Queries (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../planning-tasks/ class=md-nav__link> <span class=md-ellipsis> Query Planning (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../pii/ class=md-nav__link> <span class=md-ellipsis> PII Data Sanitization </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Enabling Open Source Models </span> </a> </li> <li class=md-nav__item> <a href=../image_to_ad_copy/ class=md-nav__link> <span class=md-ellipsis> Image to Ad Copy </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Ollama </span> </a> </li> <li class=md-nav__item> <a href=../sqlmodel/ class=md-nav__link> <span class=md-ellipsis> SQLModel Integration </span> </a> </li> <li class=md-nav__item> <a href=../examples/ class=md-nav__link> <span class=md-ellipsis> Including Examples in Prompt </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../blog/ class=md-nav__link> <span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li 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<div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/open_source.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/open_source.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=instructor-with-open-source-models>Instructor with open source models<a class=headerlink href=#instructor-with-open-source-models title="Permanent link">&para;</a></h1> <p>Instructor works with Open source model providers that support the <a href=https://platform.openai.com/docs/api-reference/chat>OpenAI API chat endpoint</a></p> <p>See examples README <a href=https://github.com/jxnl/instructor/tree/main/examples/open_source_examples>here</a></p> <h1 id=currently-tested-open-source-model-providers>Currently tested open source model providers<a class=headerlink href=#currently-tested-open-source-model-providers title="Permanent link">&para;</a></h1> <ul> <li><a href=https://openrouter.ai/ >OpenRouter</a></li> <li><a href=https://www.perplexity.ai/ >Perplexity</a></li> <li><a href=https://github.com/TheBlokeAI/dockerLLM/blob/main/README_Runpod_LocalLLMsUI.md>RunPod TheBloke LLMs</a> **</li> </ul> <p>** This utilizes 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-<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="A lightweight library for structured outputs with LLMs."><meta name=author content="Jason Liu"><link href=https://jxnl.github.io/instructor/examples/pii/ rel=canonical><link href=../planning-tasks/ rel=prev><link href=../open_source/ rel=next><link rel=alternate type=application/rss+xml title="RSS feed" href=../../feed_rss_created.xml><link rel=alternate type=application/rss+xml title="RSS feed of updated content" href=../../feed_rss_updated.xml><link rel=icon href=../../assets/images/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.11"><title>PII Data Sanitization - Instructor</title><link rel=stylesheet href=../../assets/stylesheets/main.7e359304.min.css><link rel=stylesheet 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<span class=md-ellipsis> PII Data Sanitization </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> PII Data Sanitization </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#overview class=md-nav__link> <span class=md-ellipsis> Overview </span> </a> </li> <li class=md-nav__item> <a href=#defining-the-structures class=md-nav__link> <span class=md-ellipsis> Defining the Structures </span> </a> </li> <li class=md-nav__item> <a href=#extracting-pii-data class=md-nav__link> <span class=md-ellipsis> Extracting PII Data </span> </a> <nav class=md-nav aria-label="Extracting PII Data"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#output-of-extracted-pii-data 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</a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#overview class=md-nav__link> <span class=md-ellipsis> Overview </span> </a> </li> <li class=md-nav__item> <a href=#defining-the-structures class=md-nav__link> <span class=md-ellipsis> Defining the Structures </span> </a> </li> <li class=md-nav__item> <a href=#extracting-pii-data class=md-nav__link> <span class=md-ellipsis> Extracting PII Data </span> </a> <nav class=md-nav aria-label="Extracting PII Data"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#output-of-extracted-pii-data class=md-nav__link> <span class=md-ellipsis> Output of Extracted PII Data </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#scrubbing-pii-data class=md-nav__link> <span class=md-ellipsis> Scrubbing PII Data </span> </a> <nav class=md-nav aria-label="Scrubbing PII Data"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#output-of-scrubbed-document class=md-nav__link> <span class=md-ellipsis> Output of Scrubbed Document </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/pii.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/pii.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=pii-data-extraction-and-scrubbing>PII Data Extraction and Scrubbing<a class=headerlink href=#pii-data-extraction-and-scrubbing title="Permanent link">&para;</a></h1> <h2 id=overview>Overview<a class=headerlink href=#overview title="Permanent link">&para;</a></h2> <p>This example demonstrates the usage of OpenAI's ChatCompletion model for the extraction and scrubbing of Personally Identifiable Information (PII) from a document. The code defines Pydantic models to manage the PII data and offers methods for both extraction and sanitation.</p> <h2 id=defining-the-structures>Defining the Structures<a class=headerlink href=#defining-the-structures title="Permanent link">&para;</a></h2> <p>First, Pydantic models are defined to represent the PII data and the overall structure for PII data extraction.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>typing</span> <span class=kn>import</span> <span class=n>List</span>
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md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_2_label aria-expanded=true> <label class=md-nav__title for=__nav_2> <span class="md-nav__icon md-icon"></span> Cookbook </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../classification/ class=md-nav__link> <span class=md-ellipsis> Text Classification </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification/ class=md-nav__link> <span class=md-ellipsis> Batch Classification (User Defined) </span> </a> </li> <li class=md-nav__item> <a href=../self_critique/ class=md-nav__link> <span class=md-ellipsis> LLM Self Critique </span> </a> </li> <li class=md-nav__item> <a href=../extracting_tables/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables with GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../extract_slides/ class=md-nav__link> <span class=md-ellipsis> Extracting From Slides with GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../moderation/ class=md-nav__link> <span class=md-ellipsis> Content Moderation </span> </a> </li> <li class=md-nav__item> <a href=../exact_citations/ class=md-nav__link> <span class=md-ellipsis> Citing Sources (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Extracting Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../entity_resolution/ class=md-nav__link> <span class=md-ellipsis> Extracting Complex Entities </span> </a> </li> <li class=md-nav__item> <a href=../search/ class=md-nav__link> <span class=md-ellipsis> Expanding Search Queries (RAG) </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Query Planning (RAG) </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Query Planning (RAG) </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-the-structures class=md-nav__link> <span class=md-ellipsis> Defining the Structures </span> </a> </li> <li class=md-nav__item> <a href=#planning-a-query-plan class=md-nav__link> <span class=md-ellipsis> Planning a Query Plan </span> </a> </li> <li class=md-nav__item> <a href=#conclusion class=md-nav__link> <span class=md-ellipsis> Conclusion </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../pii/ class=md-nav__link> <span class=md-ellipsis> PII Data Sanitization </span> </a> </li> <li class=md-nav__item> <a href=../open_source/ class=md-nav__link> <span class=md-ellipsis> Enabling Open Source Models </span> </a> </li> <li class=md-nav__item> <a href=../image_to_ad_copy/ class=md-nav__link> <span class=md-ellipsis> Image to Ad Copy </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Ollama </span> </a> </li> <li class=md-nav__item> <a href=../sqlmodel/ class=md-nav__link> <span class=md-ellipsis> SQLModel Integration </span> </a> </li> <li class=md-nav__item> <a href=../examples/ class=md-nav__link> <span class=md-ellipsis> Including Examples in Prompt </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../blog/ class=md-nav__link> <span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-the-structures class=md-nav__link> <span class=md-ellipsis> Defining the Structures </span> </a> </li> <li class=md-nav__item> <a href=#planning-a-query-plan class=md-nav__link> <span class=md-ellipsis> Planning a Query Plan </span> </a> </li> <li class=md-nav__item> <a href=#conclusion class=md-nav__link> <span class=md-ellipsis> Conclusion </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/planning-tasks.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/planning-tasks.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=example-planning-and-executing-a-query-plan>Example: Planning and Executing a Query Plan<a class=headerlink href=#example-planning-and-executing-a-query-plan title="Permanent link">&para;</a></h1> <p>This example demonstrates how to use the OpenAI Function Call ChatCompletion model to plan and execute a query plan in a question-answering system. By breaking down a complex question into smaller sub-questions with defined dependencies, the system can systematically gather the necessary information to answer the main question.</p> <div class="admonition tips"> <p class=admonition-title>Motivation</p> <p>The goal of this example is to showcase how query planning can be used to handle complex questions, facilitate iterative information gathering, automate workflows, and optimize processes. By leveraging the OpenAI Function Call model, you can design and execute a structured plan to find answers effectively.</p> <p><strong>Use Cases:</strong></p> <ul> <li>Complex question answering</li> <li>Iterative information gathering</li> <li>Workflow automation</li> <li>Process optimization</li> </ul> </div> <p>With the OpenAI Function Call model, you can customize the planning process and integrate it into your specific application to meet your unique requirements.</p> <h2 id=defining-the-structures>Defining the Structures<a class=headerlink href=#defining-the-structures title="Permanent link">&para;</a></h2> <p>Let's define the necessary Pydantic models to represent the query plan and the queries.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>enum</span>
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Extracting From Slides with GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../moderation/ class=md-nav__link> <span class=md-ellipsis> Content Moderation </span> </a> </li> <li class=md-nav__item> <a href=../exact_citations/ class=md-nav__link> <span class=md-ellipsis> Citing Sources (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Extracting Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../entity_resolution/ class=md-nav__link> <span class=md-ellipsis> Extracting Complex Entities </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Expanding Search Queries (RAG) </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Expanding Search Queries (RAG) </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#structure-of-the-data class=md-nav__link> <span class=md-ellipsis> Structure of the Data </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../planning-tasks/ class=md-nav__link> <span class=md-ellipsis> Query Planning (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../pii/ class=md-nav__link> <span class=md-ellipsis> PII Data Sanitization </span> </a> </li> <li class=md-nav__item> <a href=../open_source/ class=md-nav__link> <span class=md-ellipsis> Enabling Open Source Models </span> </a> </li> <li class=md-nav__item> <a href=../image_to_ad_copy/ class=md-nav__link> <span class=md-ellipsis> Image to Ad Copy </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ 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md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#structure-of-the-data class=md-nav__link> <span class=md-ellipsis> Structure of the Data </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/search.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/search.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=example-segmenting-search-queries>Example: Segmenting Search Queries<a class=headerlink href=#example-segmenting-search-queries title="Permanent link">&para;</a></h1> <p>In this example, we will demonstrate how to leverage the <code>MultiTask</code> and <code>enum.Enum</code> features of OpenAI Function Call to segment search queries. We will define the necessary structures using Pydantic and demonstrate how segment queries into multiple sub queries and execute them in parallel with <code>asyncio</code>.</p> <div class="admonition tips"> <p class=admonition-title>Motivation</p> <p>Extracting a list of tasks from text is a common use case for leveraging language models. This pattern can be applied to various applications, such as virtual assistants like Siri or Alexa, where understanding user intent and breaking down requests into actionable tasks is crucial. In this example, we will demonstrate how to use OpenAI Function Call to segment search queries and execute them in parallel.</p> </div> <h2 id=structure-of-the-data>Structure of the Data<a class=headerlink href=#structure-of-the-data title="Permanent link">&para;</a></h2> <p>The <code>Search</code> class is a Pydantic model that defines the structure of the search query. It has three fields: <code>title</code>, <code>query</code>, and <code>type</code>. The <code>title</code> field is the title of the request, the <code>query</code> field is the query to search for relevant content, and the <code>type</code> field is the type of search. The <code>execute</code> method is used to execute the search query.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>instructor</span>
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<span class=md-ellipsis> Retrying with Corrections </span> </a> <nav class=md-nav aria-label="Retrying with Corrections"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#final-output class=md-nav__link> <span class=md-ellipsis> Final Output </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../extracting_tables/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables with GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../extract_slides/ class=md-nav__link> <span class=md-ellipsis> Extracting From Slides with GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../moderation/ class=md-nav__link> <span class=md-ellipsis> Content Moderation </span> </a> </li> <li class=md-nav__item> <a href=../exact_citations/ class=md-nav__link> <span class=md-ellipsis> Citing Sources (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Extracting Knowledge Graphs 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</span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#introduction class=md-nav__link> <span class=md-ellipsis> Introduction </span> </a> <nav class=md-nav aria-label=Introduction> <ul class=md-nav__list> <li class=md-nav__item> <a href=#output-before-validation class=md-nav__link> <span class=md-ellipsis> Output Before Validation </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#adding-custom-validation class=md-nav__link> <span class=md-ellipsis> Adding Custom Validation </span> </a> <nav class=md-nav aria-label="Adding Custom Validation"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#output-after-validation class=md-nav__link> <span class=md-ellipsis> Output After Validation </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#retrying-with-corrections class=md-nav__link> <span class=md-ellipsis> Retrying with Corrections </span> </a> <nav class=md-nav aria-label="Retrying with Corrections"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#final-output class=md-nav__link> <span class=md-ellipsis> Final Output </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/self_critique.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/self_critique.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=self-correction-with-llm_validator>Self-Correction with <code>llm_validator</code><a class=headerlink href=#self-correction-with-llm_validator title="Permanent link">&para;</a></h1> <h2 id=introduction>Introduction<a class=headerlink href=#introduction title="Permanent link">&para;</a></h2> <p>This guide demonstrates how to use <code>llm_validator</code> for implementing self-healing. The objective is to showcase how an instructor can self-correct by using validation errors and helpful error messages.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>openai</span> <span class=kn>import</span> <span class=n>OpenAI</span>
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1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"/></svg> </div> <div class=md-source__repository> instructor </div> </a> </div> <ul class=md-nav__list data-md-scrollfix> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../.. class=md-nav__link> <span class=md-ellipsis> Introduction </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_2 checked> <div class="md-nav__link md-nav__container"> <a href=../ class="md-nav__link "> <span class=md-ellipsis> Cookbook </span> </a> <label class="md-nav__link " for=__nav_2 id=__nav_2_label tabindex> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_2_label aria-expanded=true> <label class=md-nav__title for=__nav_2> <span class="md-nav__icon md-icon"></span> Cookbook </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../classification/ class=md-nav__link> <span class=md-ellipsis> Text Classification </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification/ class=md-nav__link> <span class=md-ellipsis> Batch Classification (User Defined) </span> </a> </li> <li class=md-nav__item> <a href=../self_critique/ class=md-nav__link> <span class=md-ellipsis> LLM Self Critique </span> </a> </li> <li class=md-nav__item> <a href=../extracting_tables/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables with GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../extract_slides/ class=md-nav__link> <span class=md-ellipsis> Extracting From Slides with GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../moderation/ class=md-nav__link> <span class=md-ellipsis> Content Moderation </span> </a> </li> <li class=md-nav__item> <a href=../exact_citations/ class=md-nav__link> <span class=md-ellipsis> Citing Sources (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Extracting Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../entity_resolution/ class=md-nav__link> <span class=md-ellipsis> Extracting Complex Entities </span> </a> </li> <li class=md-nav__item> <a href=../search/ class=md-nav__link> <span class=md-ellipsis> Expanding Search Queries (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../planning-tasks/ class=md-nav__link> <span class=md-ellipsis> Query Planning (RAG) </span> </a> </li> <li class=md-nav__item> <a href=../pii/ class=md-nav__link> <span class=md-ellipsis> PII Data Sanitization </span> </a> </li> <li class=md-nav__item> <a href=../open_source/ class=md-nav__link> <span class=md-ellipsis> Enabling Open Source Models </span> </a> </li> <li class=md-nav__item> <a href=../image_to_ad_copy/ class=md-nav__link> <span class=md-ellipsis> Image to Ad Copy </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Ollama </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> SQLModel Integration </span> </a> </li> <li class=md-nav__item> <a href=../examples/ class=md-nav__link> <span class=md-ellipsis> Including Examples in Prompt </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../blog/ class=md-nav__link> <span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/examples/sqlmodel.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/examples/sqlmodel.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=integrating-instructor-with-sqlmodel>Integrating Instructor with SQLModel<a class=headerlink href=#integrating-instructor-with-sqlmodel title="Permanent link">&para;</a></h1> <p><a href=https://sqlmodel.tiangolo.com/ >SQLModel</a> is a library designed for interacting with SQL databases from Python code using Python objects. <code>SQLModel</code> is based on <code>Pydantic</code> and <code>SQLAlchemy</code> and was created by <a href=https://twitter.com/tiangolo>tiangolo</a> who also developed <code>FastAPI</code>. So you can expect seamless integration across all these libraries, reducing code duplicating and improving your developer experience. </p> <h1 id=example-adding-responses-from-instructor-directly-to-your-db>Example: Adding responses from Instructor directly to your DB<a class=headerlink href=#example-adding-responses-from-instructor-directly-to-your-db title="Permanent link">&para;</a></h1> <h2 id=defining-the-models>Defining the Models<a class=headerlink href=#defining-the-models title="Permanent link">&para;</a></h2> <p>First we'll define a model that will serve as a table for our database and the structure of our outputs from <code>Instructor</code></p> <div class="admonition tips"> <p class=admonition-title>Model Definition</p> <p>You'll need to subclass your models with both <code>SQLModel</code> and <code>instructor.OpenAISchema</code> for them to work with SQLModel</p> </div> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>instructor</span>
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-{"version": "https://jsonfeed.org/version/1", "title": "Instructor", "home_page_url": "https://jxnl.github.io/instructor/", "feed_url": "https://jxnl.github.io/instructor/feed_json_created.json", "description": "A lightweight library for structured outputs with LLMs.", "icon": null, "authors": [{"name": "Jason Liu"}], "language": "en", "items": [{"id": "https://jxnl.github.io/instructor/blog/2024/03/08/simple-synthetic-data-generation/", "url": "https://jxnl.github.io/instructor/blog/2024/03/08/simple-synthetic-data-generation/", "title": "Simple Synthetic Data Generation", "content_html": "<h1>Simple Synthetic Data Generation</h1>\n<p>What that people have been using instructor for is to generate synthetic data rather than extracting data itself. We can ...</p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/fake-data.png", "date_published": "2024-03-08T00:00:00+00:00", "authors": [{"name": "jxnl"}], "tags": []}, {"id": "https://jxnl.github.io/instructor/blog/2024/03/07/open-source-local-structured-output-pydantic-json-openai/", "url": "https://jxnl.github.io/instructor/blog/2024/03/07/open-source-local-structured-output-pydantic-json-openai/", "title": "Structured Output for Open Source and Local LLMS", "content_html": "<h1>Structured Output for Open Source and Local LLMS</h1>\n<p>Originally, Instructor facilitated API interactions solely via the OpenAI SDK, with an emphasis on function call by incorporating <a href=\"https://pydantic-docs.helpmanual.io/\">Pydantic</a> for structured data validation and serialization. </p>\n<p>As the year progressed, we expanded our toolkit by integrating <a href=\"../../concepts/patching.md#json-mode\">JSON mode</a>, thus enhancing our adaptability to vision models and open source models. This advancement now enables us to support an extensive range of models, from <a href=\"https://openai.com/api/\">GPT</a> and <a href=\"https://mistral.ai\">Mistral</a> to virtually any model accessible through <a href=\"https://ollama.ai\">Ollama</a> and <a href=\"https://huggingface.co/models\">Hugging Face</a>, facilitated by <a href=\"../../hub/llama-cpp-python.md\">llama-cpp-python</a>. For more insights into leveraging JSON mode with various models, refer back to our detailed guide on <a href=\"../../concepts/patching.md\">Patching</a>.</p>\n<p>If you want to check out a course on how to use Instructor with Pydantic, check out our course on <a href=\"https://www.wandb.courses/courses/steering-language-models\">Steering language models towards structured outputs.</a>.</p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/open_source.png", "date_published": "2024-03-07T00:00:00+00:00", "authors": [{"name": "jxnl"}], "tags": ["anyscale", "groq", "llama-cpp-python", "llms", "mistral", "ollama", "opensource", "together"]}, {"id": "https://jxnl.github.io/instructor/blog/2024/03/05/zero-cost-abstractions/", "url": "https://jxnl.github.io/instructor/blog/2024/03/05/zero-cost-abstractions/", "title": "Why Instructor is the Best Library for Structured LLM Outputs", "content_html": "<h1>Why Instructor is the Best Library for Structured LLM Outputs</h1>\n<p>Large language models (LLMs) like GPTs are incredibly powerful, but working with their open-ended text outputs can be challenging. This is where the Instructor library shines - it allows you to easily map LLM outputs to structured data using Python type annotations.</p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/best_framework.png", "date_published": "2024-03-05T00:00:00+00:00", "authors": [{"name": "jxnl"}], "tags": ["llms", "python"]}, {"id": "https://jxnl.github.io/instructor/blog/2024/02/18/seamless-support-with-langsmith/", "url": "https://jxnl.github.io/instructor/blog/2024/02/18/seamless-support-with-langsmith/", "title": "Seamless Support with Langsmith", "content_html": "<h1>Seamless Support with Langsmith</h1>\n<p>Its a common misconception that LangChain's <a href=\"https://www.langchain.com/langsmith\">LangSmith</a> is only compatible with LangChain's models. In reality, LangSmith is a unified DevOps platform for developing, collaborating, testing, deploying, and monitoring LLM applications. In this blog we will explore how LangSmith can be used to enhance the OpenAI client alongside <code>instructor</code>.</p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/langsmith.png", "date_published": "2024-02-18T00:00:00+00:00", "authors": [{"name": "jxnl"}], "tags": ["langsmith"]}, {"id": "https://jxnl.github.io/instructor/blog/2024/02/14/weights-and-biases-course/", "url": "https://jxnl.github.io/instructor/blog/2024/02/14/weights-and-biases-course/", "title": "Free course on Weights and Biases", "content_html": "<h1>Free course on Weights and Biases</h1>\n<p>I just released a free course on wits and biases. It goes over the material from [tutorial](../../tutorials/1-introducti...</p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/course.png", "date_published": "2024-02-14T00:00:00+00:00", "authors": [{"name": "jxnl"}], "tags": ["open source"]}, {"id": "https://jxnl.github.io/instructor/blog/2023/11/26/python-caching/", "url": "https://jxnl.github.io/instructor/blog/2023/11/26/python-caching/", "title": "Introduction to Caching in Python", "content_html": "<h1>Introduction to Caching in Python</h1>\n<blockquote>\n<p>Instructor makes working with language models easy, but they are still computationally expensive.</p>\n</blockquote>\n<p>Today, we're diving into optimizing instructor code while maintaining the excellent DX offered by <a href=\"https://docs.pydantic.dev/latest/\">Pydantic</a> models. We'll tackle the challenges of caching Pydantic models, typically incompatible with <code>pickle</code>, and explore solutions that use <code>decorators</code> like <code>functools.cache</code>. Then, we'll craft custom decorators with <code>diskcache</code> and <code>redis</code> to support persistent caching and distributed systems.</p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/caching.png", "date_published": "2023-11-26T00:00:00+00:00", "authors": [{"name": "jxnl"}], "tags": ["caching", "diskcache", "functools", "python", "redis"]}, {"id": "https://jxnl.github.io/instructor/blog/2023/11/26/python-generators-and-llm-streaming/", "url": "https://jxnl.github.io/instructor/blog/2023/11/26/python-generators-and-llm-streaming/", "title": "Generators and LLM Streaming", "content_html": "<h1>Generators and LLM Streaming</h1>\n<p>Latency is crucial, especially in eCommerce and newer chat applications like ChatGPT. Streaming is the solution that enables us to enhance the user experience without the need for faster response times.</p>\n<p>And what makes streaming possible? Generators!</p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/generator.png", "date_published": "2023-11-26T00:00:00+00:00", "authors": [{"name": "jxnl"}, {"name": "anmol"}], "tags": ["generators", "python", "streaming"]}, {"id": "https://jxnl.github.io/instructor/blog/2023/11/18/validate-citations/", "url": "https://jxnl.github.io/instructor/blog/2023/11/18/validate-citations/", "title": "Verifying LLM Citations with Pydantic", "content_html": "<h1>Verifying LLM Citations with Pydantic</h1>\n<p>Ensuring the accuracy of information is crucial. This blog post explores how Pydantic's powerful and flexible validators can enhance data accuracy through citation verification.</p>\n<p>We'll start with using a simple substring check to verify citations. Then we'll use <code>instructor</code> itself to power an LLM to verify citations and align answers with the given citations. Finally, we'll explore how we can use these techniques to generate a dataset of accurate responses.</p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/citations.png", "date_published": "2023-11-18T00:00:00+00:00", "authors": [{"name": "jxnl"}], "tags": ["citations", "finetuneing", "hallucination", "pydantic", "validation"]}, {"id": "https://jxnl.github.io/instructor/blog/2023/11/13/learn-async/", "url": "https://jxnl.github.io/instructor/blog/2023/11/13/learn-async/", "title": "Batch Processing OpenAI using asyncio and Instructor with Python", "content_html": "<h1>Batch Processing OpenAI using <code>asyncio</code> and <code>Instructor</code> with Python</h1>\n<p>Today, I will introduce you to various approaches for using asyncio in Python. We will apply this to batch process data using <code>instructor</code> and learn how to use <code>asyncio.gather</code> and <code>asyncio.as_completed</code> for concurrent data processing. Additionally, we will explore how to limit the number of concurrent requests to a server using <code>asyncio.Semaphore</code>.</p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/learn-async.png", "date_published": "2023-11-13T00:00:00+00:00", "authors": [{"name": "jxnl"}], "tags": ["async", "async/await", "asyncio", "batch", "python"]}, {"id": "https://jxnl.github.io/instructor/blog/2023/11/05/chain-of-density/", "url": "https://jxnl.github.io/instructor/blog/2023/11/05/chain-of-density/", "title": "Smarter Summaries w/ Finetuning GPT-3.5 and Chain of Density", "content_html": "<h1>Smarter Summaries w/ Finetuning GPT-3.5 and Chain of Density</h1>\n<blockquote>\n<p>Discover how to distil an iterative method like Chain Of Density into a single finetuned model using Instructor</p>\n</blockquote>\n<p>In this article, we'll guide you through implementing the original Chain of Density method using Instructor, then show how to distile a GPT 3.5 model to match GPT-4's iterative summarization capabilities. Using these methods were able to decrease latency by 20x, reduce costs by 50x and maintain entity density.</p>\n<p>By the end you'll end up with a GPT 3.5 model, (fine-tuned using Instructor's great tooling), capable of producing summaries that rival the effectiveness of Chain of Density <a href=\"https://arxiv.org/abs/2309.04269\">[Adams et al. (2023)]</a>. As always, all code is readily available in our <code>examples/chain-of-density</code> folder in our repo for your reference.</p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/chain-of-density.png", "date_published": "2023-11-05T00:00:00+00:00", "authors": [{"name": "ivanleomk"}, {"name": "jxnl"}], "tags": ["chain of density", "distillation", "finetuneing", "gpt-3.5-turbo", "pydantic", "validation"]}, {"id": "https://jxnl.github.io/instructor/blog/2023/11/02/ai-engineer-keynote-pydantic-is-all-you-need/", "url": "https://jxnl.github.io/instructor/blog/2023/11/02/ai-engineer-keynote-pydantic-is-all-you-need/", "title": "AI Engineer Keynote: Pydantic is all you need", "content_html": "<h1>AI Engineer Keynote: Pydantic is all you need</h1>\n<p><a href=\"https://www.youtube.com/watch?v=yj-wSRJwrrc\"><img alt=\"Pydantic is all you need\" src=\"https://img.youtube.com/vi/yj-wSRJwrrc/0.jpg\"></a></p>\n<p><a href=\"https://www.youtube.com/watch?v=yj-wSRJwrrc\">Click here to watch the full talk</a></p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/aisummit-2023.png", "date_published": "2023-11-02T00:00:00+00:00", "authors": [{"name": "jxnl"}], "tags": ["prompt engineering", "python", "talks", "video"]}, {"id": "https://jxnl.github.io/instructor/blog/2023/10/23/good-llm-validation-is-just-good-validation/", "url": "https://jxnl.github.io/instructor/blog/2023/10/23/good-llm-validation-is-just-good-validation/", "title": "Good LLM Validation is Just Good Validation", "content_html": "<h1>Good LLM Validation is Just Good Validation</h1>\n<blockquote>\n<p>What if your validation logic could learn and adapt like a human, but operate at the speed of software? This is the future of validation and it's already here.</p>\n</blockquote>\n<p>Validation is the backbone of reliable software. But traditional methods are static, rule-based, and can't adapt to new challenges. This post looks at how to bring dynamic, machine learning-driven validation into your software stack using Python libraries like <code>Pydantic</code> and <code>Instructor</code>. We validate these outputs using a validation function which conforms to the structure seen below.</p>\n<p><code>python\ndef validation_function(value):\n    if condition(value):\n        raise ValueError(\"Value is not valid\")\n    return mutation(value)</code></p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/validation-part1.png", "date_published": "2023-10-23T00:00:00+00:00", "authors": [{"name": "jxnl"}, {"name": "ivanleomk"}], "tags": ["chain of thought", "citations", "constitutional ai", "guardrails", "pydantic", "validation"]}, {"id": "https://jxnl.github.io/instructor/blog/2023/10/17/enhancing-python-functions-with-instructor-a-guide-to-fine-tuning-and-distillation/", "url": "https://jxnl.github.io/instructor/blog/2023/10/17/enhancing-python-functions-with-instructor-a-guide-to-fine-tuning-and-distillation/", "title": "Enhancing Python Functions with Instructor: A Guide to Fine-Tuning and Distillation", "content_html": "<h1>Enhancing Python Functions with Instructor: A Guide to Fine-Tuning and Distillation</h1>\n<h2>Introduction</h2>\n<p>Get ready to dive deep into the world of fine-tuning task specific language models with Python functions. We'll explore how the <code>instructor.instructions</code> streamlines this process, making the task you want to distil more efficient and powerful while preserving its original functionality and backwards compatibility.</p>\n<p>If you want to see the full example checkout <a href=\"https://github.com/jxnl/instructor/tree/main/examples/distilations\">examples/distillation</a></p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/distilation-part1.png", "date_published": "2023-10-17T00:00:00+00:00", "authors": [{"name": "jxnl"}], "tags": ["distillation", "finetuning", "function calling", "python"]}, {"id": "https://jxnl.github.io/instructor/blog/2023/09/17/rag-is-more-than-just-embedding-search/", "url": "https://jxnl.github.io/instructor/blog/2023/09/17/rag-is-more-than-just-embedding-search/", "title": "RAG is more than just embedding search", "content_html": "<h1>RAG is more than just embedding search</h1>\n<p>With the advent of large language models (LLM), retrieval augmented generation (RAG) has become a hot topic. However throughout the past year of <a href=\"https://jxnl.co\">helping startups</a> integrate LLMs into their stack I've noticed that the pattern of taking user queries, embedding them, and directly searching a vector store is effectively demoware.</p>\n<p>!!! note \"What is RAG?\"</p>\n<pre><code>Retrieval augmented generation (RAG) is a technique that uses an LLM to generate responses, but uses a search backend to augment the generation. In the past year using text embeddings with a vector databases has been the most popular approach I've seen being socialized.\n</code></pre>\n<figure markdown>\n  ![RAG](img/dumb_rag.png)\n  <figcaption>Simple RAG that embedded the user query and makes a search.</figcaption>\n</figure>\n\n<p>So let's kick things off by examining what I like to call the 'Dumb' RAG Model\u2014a basic setup that's more common than you'd think.</p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/rag-and-beyond.png", "date_published": "2023-09-17T00:00:00+00:00", "authors": [{"name": "jxnl"}], "tags": ["Embeddings", "Personal Assistant", "Query Understanding", "RAG", "Search Systems"]}, {"id": "https://jxnl.github.io/instructor/blog/2023/09/11/generating-structured-output--json-from-llms/", "url": "https://jxnl.github.io/instructor/blog/2023/09/11/generating-structured-output--json-from-llms/", "title": "Generating Structured Output / JSON from LLMs", "content_html": "<h1>Generating Structured Output / JSON from LLMs</h1>\n<p>Language models have seen significant growth. Using them effectively often requires complex frameworks. This post discusses how Instructor simplifies this process using Pydantic.</p>", "image": "https://jxnl.github.io/instructor/assets/images/social/blog/posts/introduction.png", "date_published": "2023-09-11T00:00:00+00:00", "authors": [{"name": "jxnl"}], "tags": ["Introduction"]}]}
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4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"/></svg> </div> <div class=md-source__repository> instructor </div> </a> </div> <ul class=md-nav__list data-md-scrollfix> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_1 checked> <div class="md-nav__link md-nav__container"> <a href=.. class="md-nav__link "> <span class=md-ellipsis> Introduction </span> </a> <label class="md-nav__link " for=__nav_1 id=__nav_1_label tabindex> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_1_label aria-expanded=true> <label class=md-nav__title for=__nav_1> <span class="md-nav__icon md-icon"></span> Introduction </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../why/ class=md-nav__link> <span class=md-ellipsis> Why use Instructor? </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Help with Instructor </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Help with Instructor </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#material-discord-discord class=md-nav__link> <span class=md-ellipsis> :material-discord: Discord </span> </a> </li> <li class=md-nav__item> <a href=#concepts class=md-nav__link> <span class=md-ellipsis> Concepts </span> </a> </li> <li class=md-nav__item> <a href=#cookbooks class=md-nav__link> <span class=md-ellipsis> Cookbooks </span> </a> </li> <li class=md-nav__item> <a href=#blog class=md-nav__link> <span class=md-ellipsis> Blog </span> </a> </li> <li class=md-nav__item> <a href=#github-discussions class=md-nav__link> <span class=md-ellipsis> GitHub Discussions </span> </a> </li> <li class=md-nav__item> <a href=#github-issues class=md-nav__link> <span class=md-ellipsis> GitHub Issues </span> </a> </li> <li class=md-nav__item> <a href=#twitter class=md-nav__link> <span class=md-ellipsis> Twitter </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../installation/ class=md-nav__link> <span class=md-ellipsis> Installation </span> </a> </li> <li class=md-nav__item> <a href=../contributing/ class=md-nav__link> <span class=md-ellipsis> Contributing </span> </a> </li> <li class=md-nav__item> <a href=../concepts/philosophy/ class=md-nav__link> <span class=md-ellipsis> Philosophy </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../examples/ class=md-nav__link> <span class=md-ellipsis> Cookbook </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../blog/ class=md-nav__link> <span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#material-discord-discord class=md-nav__link> <span class=md-ellipsis> :material-discord: Discord </span> </a> </li> <li class=md-nav__item> <a href=#concepts class=md-nav__link> <span class=md-ellipsis> Concepts </span> </a> </li> <li class=md-nav__item> <a href=#cookbooks class=md-nav__link> <span class=md-ellipsis> Cookbooks </span> </a> </li> <li class=md-nav__item> <a href=#blog class=md-nav__link> <span class=md-ellipsis> Blog </span> </a> </li> <li class=md-nav__item> <a href=#github-discussions class=md-nav__link> <span class=md-ellipsis> GitHub Discussions </span> </a> </li> <li class=md-nav__item> <a href=#github-issues class=md-nav__link> <span class=md-ellipsis> GitHub Issues </span> </a> </li> <li class=md-nav__item> <a href=#twitter class=md-nav__link> <span class=md-ellipsis> Twitter </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/help.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/help.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=getting-help-with-instructor>Getting help with Instructor<a class=headerlink href=#getting-help-with-instructor title="Permanent link">&para;</a></h1> <p>If you need help getting started with Instructor or with advanced usage, the following sources may be useful.</p> <h2 id=material-discord-discord>:material-discord: Discord<a class=headerlink href=#material-discord-discord title="Permanent link">&para;</a></h2> <p>The <a href=https://discord.gg/CV8sPM5k5Y>Discord</a> is a great place to ask questions and get help from the community.</p> <h2 id=concepts><span class=twemoji><svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="m19 1-1.26 2.75L15 5l2.74 1.26L19 9l1.25-2.74L23 5l-2.75-1.25M9 4 6.5 9.5 1 12l5.5 2.5L9 20l2.5-5.5L17 12l-5.5-2.5M19 15l-1.26 2.74L15 19l2.74 1.25L19 23l1.25-2.75L23 19l-2.75-1.26"/></svg></span> Concepts<a class=headerlink href=#concepts title="Permanent link">&para;</a></h2> <p>The <a href=../concepts/prompting/ >concepts</a> section explains the core concepts of Instructor and how to prompt with models.</p> <h2 id=cookbooks><span class=twemoji><svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12.5 1.5c-1.77 0-3.33 1.17-3.83 2.87C8.14 4.13 7.58 4 7 4a4 4 0 0 0-4 4 4.01 4.01 0 0 0 3 3.87V19h13v-7.13c1.76-.46 3-2.05 3-3.87a4 4 0 0 0-4-4c-.58 0-1.14.13-1.67.37-.5-1.7-2.06-2.87-3.83-2.87m-.5 9h1v7h-1v-7m-3 2h1v5H9v-5m6 0h1v5h-1v-5M6 20v1a1 1 0 0 0 1 1h11a1 1 0 0 0 1-1v-1H6Z"/></svg></span> Cookbooks<a class=headerlink href=#cookbooks title="Permanent link">&para;</a></h2> <p>The <a href=../examples/ >cookbooks</a> are a great place to start. They contain a variety of examples that demonstrate how to use Instructor in different scenarios.</p> <h2 id=blog><span class=twemoji><svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M18 22a2 2 0 0 0 2-2V4a2 2 0 0 0-2-2h-6v7L9.5 7.5 7 9V2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12Z"/></svg></span> Blog<a class=headerlink href=#blog title="Permanent link">&para;</a></h2> <p>The <a href=../blog/ >blog</a> contains articles that explain how to use Instructor in different scenarios.</p> <h2 id=github-discussions><span class=twemoji><svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"/></svg></span> GitHub Discussions<a class=headerlink href=#github-discussions title="Permanent link">&para;</a></h2> <p><a href=https://github.com/jxnl/instructor/discussions>GitHub discussions</a> are useful for asking questions, your question and the answer will help everyone.</p> <h2 id=github-issues><span class=twemoji><svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 2A10 10 0 0 0 2 12c0 4.42 2.87 8.17 6.84 9.5.5.08.66-.23.66-.5v-1.69c-2.77.6-3.36-1.34-3.36-1.34-.46-1.16-1.11-1.47-1.11-1.47-.91-.62.07-.6.07-.6 1 .07 1.53 1.03 1.53 1.03.87 1.52 2.34 1.07 2.91.83.09-.65.35-1.09.63-1.34-2.22-.25-4.55-1.11-4.55-4.92 0-1.11.38-2 1.03-2.71-.1-.25-.45-1.29.1-2.64 0 0 .84-.27 2.75 1.02.79-.22 1.65-.33 2.5-.33.85 0 1.71.11 2.5.33 1.91-1.29 2.75-1.02 2.75-1.02.55 1.35.2 2.39.1 2.64.65.71 1.03 1.6 1.03 2.71 0 3.82-2.34 4.66-4.57 4.91.36.31.69.92.69 1.85V21c0 .27.16.59.67.5C19.14 20.16 22 16.42 22 12A10 10 0 0 0 12 2Z"/></svg></span> GitHub Issues<a class=headerlink href=#github-issues title="Permanent link">&para;</a></h2> <p><a href=https://github.com/jxnl/instructor/issues>GitHub issues</a> are useful for reporting bugs or requesting new features.</p> <h2 id=twitter><span class=twemoji><svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M22.46 6c-.77.35-1.6.58-2.46.69.88-.53 1.56-1.37 1.88-2.38-.83.5-1.75.85-2.72 1.05C18.37 4.5 17.26 4 16 4c-2.35 0-4.27 1.92-4.27 4.29 0 .34.04.67.11.98C8.28 9.09 5.11 7.38 3 4.79c-.37.63-.58 1.37-.58 2.15 0 1.49.75 2.81 1.91 3.56-.71 0-1.37-.2-1.95-.5v.03c0 2.08 1.48 3.82 3.44 4.21a4.22 4.22 0 0 1-1.93.07 4.28 4.28 0 0 0 4 2.98 8.521 8.521 0 0 1-5.33 1.84c-.34 0-.68-.02-1.02-.06C3.44 20.29 5.7 21 8.12 21 16 21 20.33 14.46 20.33 8.79c0-.19 0-.37-.01-.56.84-.6 1.56-1.36 2.14-2.23Z"/></svg></span> Twitter<a class=headerlink href=#twitter title="Permanent link">&para;</a></h2> <p>You can also reach out to me on <a href=https://twitter.com/jxnlco>Twitter</a> if you have any questions or ideas.</p> <form class=md-feedback name=feedback hidden> <fieldset> <legend class=md-feedback__title> Was this page helpful? </legend> <div class=md-feedback__inner> <div class=md-feedback__list> <button class="md-feedback__icon md-icon" type=submit title="This page was helpful" data-md-value=1> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 12a8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8 8 8 0 0 0 8-8m2 0a10 10 0 0 1-10 10A10 10 0 0 1 2 12 10 10 0 0 1 12 2a10 10 0 0 1 10 10M10 9.5c0 .8-.7 1.5-1.5 1.5S7 10.3 7 9.5 7.7 8 8.5 8s1.5.7 1.5 1.5m7 0c0 .8-.7 1.5-1.5 1.5S14 10.3 14 9.5 14.7 8 15.5 8s1.5.7 1.5 1.5m-5 7.73c-1.75 0-3.29-.73-4.19-1.81L9.23 14c.45.72 1.52 1.23 2.77 1.23s2.32-.51 2.77-1.23l1.42 1.42c-.9 1.08-2.44 1.81-4.19 1.81Z"/></svg> </button> <button class="md-feedback__icon md-icon" type=submit title="This page could be improved" data-md-value=0> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20 12a8 8 0 0 0-8-8 8 8 0 0 0-8 8 8 8 0 0 0 8 8 8 8 0 0 0 8-8m2 0a10 10 0 0 1-10 10A10 10 0 0 1 2 12 10 10 0 0 1 12 2a10 10 0 0 1 10 10m-6.5-4c.8 0 1.5.7 1.5 1.5s-.7 1.5-1.5 1.5-1.5-.7-1.5-1.5.7-1.5 1.5-1.5M10 9.5c0 .8-.7 1.5-1.5 1.5S7 10.3 7 9.5 7.7 8 8.5 8s1.5.7 1.5 1.5m2 4.5c1.75 0 3.29.72 4.19 1.81l-1.42 1.42C14.32 16.5 13.25 16 12 16s-2.32.5-2.77 1.23l-1.42-1.42C8.71 14.72 10.25 14 12 14Z"/></svg> </button> </div> <div class=md-feedback__note> <div data-md-value=1 hidden> Thanks for your feedback! </div> <div data-md-value=0 hidden> Thanks for your feedback! 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diff --git a/hub/action_items/index.html b/hub/action_items/index.html
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</a> </li> <li class=md-nav__item> <a href=../multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class=md-nav__item> <a href=../llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class=md-nav__item> <a href=../together/ class=md-nav__link> <span class=md-ellipsis> Using Together Compute </span> </a> </li> <li class=md-nav__item> <a href=../anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class=md-nav__item> <a href=../groq/ class=md-nav__link> <span class=md-ellipsis> Using Groq </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification_langsmith/ class=md-nav__link> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Action Items </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Action Items </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-the-structures class=md-nav__link> <span class=md-ellipsis> Defining the Structures </span> </a> </li> <li class=md-nav__item> <a href=#extracting-action-items class=md-nav__link> <span class=md-ellipsis> Extracting Action Items </span> </a> </li> <li class=md-nav__item> <a href=#evaluation-and-testing class=md-nav__link> <span class=md-ellipsis> Evaluation and Testing </span> </a> </li> <li class=md-nav__item> <a href=#visualizing-the-tasks class=md-nav__link> <span class=md-ellipsis> Visualizing the tasks </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../partial_streaming/ class=md-nav__link> <span class=md-ellipsis> Partial Streaming </span> </a> </li> <li class=md-nav__item> <a href=../extract_contact_info/ class=md-nav__link> <span class=md-ellipsis> Extract Contact Info </span> </a> </li> <li class=md-nav__item> <a href=../mistral/ class=md-nav__link> <span class=md-ellipsis> Using Mistral Large </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../youtube_clips/ class=md-nav__link> <span class=md-ellipsis> Extract Youtube Clips </span> </a> </li> <li class=md-nav__item> <a href=../../tutorials/5-knowledge-graphs/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-the-structures class=md-nav__link> <span class=md-ellipsis> Defining the Structures </span> </a> </li> <li class=md-nav__item> <a href=#extracting-action-items class=md-nav__link> <span class=md-ellipsis> Extracting Action Items </span> </a> </li> <li class=md-nav__item> <a href=#evaluation-and-testing class=md-nav__link> <span class=md-ellipsis> Evaluation and Testing </span> </a> </li> <li class=md-nav__item> <a href=#visualizing-the-tasks class=md-nav__link> <span class=md-ellipsis> Visualizing the tasks </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/action_items.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/action_items.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=extracting-action-items-from-meeting-transcripts>Extracting Action Items from Meeting Transcripts<a class=headerlink href=#extracting-action-items-from-meeting-transcripts title="Permanent link">&para;</a></h1> <p>In this guide, we'll walk through how to extract action items from meeting transcripts using OpenAI's API and Pydantic. This use case is essential for automating project management tasks, such as task assignment and priority setting.</p> <p>If you want to try outs via <code>instructor hub</code>, you can pull it by running</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>instructor<span class=w> </span>hub<span class=w> </span>pull<span class=w> </span>--slug<span class=w> </span>action_items<span class=w> </span>--py<span class=w> </span>&gt;<span class=w> </span>action_items.py
diff --git a/hub/anyscale/index.html b/hub/anyscale/index.html
index 32e827905..03a59067a 100644
--- a/hub/anyscale/index.html
+++ b/hub/anyscale/index.html
@@ -1,4 +1,4 @@
-<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="A lightweight library for structured outputs with LLMs."><meta name=author content="Jason Liu"><link href=https://jxnl.github.io/instructor/hub/anyscale/ rel=canonical><link href=../together/ rel=prev><link href=../groq/ rel=next><link rel=alternate type=application/rss+xml title="RSS feed" href=../../feed_rss_created.xml><link rel=alternate type=application/rss+xml title="RSS feed of updated content" href=../../feed_rss_updated.xml><link rel=icon href=../../assets/images/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.11"><title>Using Anyscale - Instructor</title><link rel=stylesheet href=../../assets/stylesheets/main.7e359304.min.css><link rel=stylesheet href=../../assets/stylesheets/palette.06af60db.min.css><style>:root{--md-admonition-icon--note:url('data:image/svg+xml;charset=utf-8,<svg 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class=md-nav__link> <span class=md-ellipsis> Anyscale </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/anyscale.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/anyscale.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=structured-outputs-with-anyscale>Structured Outputs with Anyscale<a class=headerlink href=#structured-outputs-with-anyscale title="Permanent link">&para;</a></h1> <p>If you want to try this example using <code>instructor hub</code>, you can pull it by running</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>instructor<span class=w> </span>hub<span class=w> </span>pull<span class=w> </span>--slug<span class=w> </span>anyscale<span class=w> </span>--py<span class=w> </span>&gt;<span class=w> </span>anyscale_example.py
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<span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_5 checked> <div class="md-nav__link md-nav__container"> <a href=../ class="md-nav__link "> <span class=md-ellipsis> Hub </span> </a> <label class="md-nav__link " for=__nav_5 id=__nav_5_label tabindex> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_5_label aria-expanded=true> <label class=md-nav__title for=__nav_5> <span class="md-nav__icon md-icon"></span> Hub </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../single_classification/ class=md-nav__link> <span class=md-ellipsis> Single Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class=md-nav__item> <a href=../llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class=md-nav__item> <a href=../together/ class=md-nav__link> <span class=md-ellipsis> Using Together Compute </span> </a> </li> <li class=md-nav__item> <a href=../anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class=md-nav__item> <a href=../groq/ class=md-nav__link> <span class=md-ellipsis> Using Groq </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#langsmith class=md-nav__link> <span class=md-ellipsis> LangSmith </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../action_items/ class=md-nav__link> <span class=md-ellipsis> Action Items </span> </a> </li> <li class=md-nav__item> <a href=../partial_streaming/ class=md-nav__link> <span class=md-ellipsis> Partial Streaming </span> </a> </li> <li class=md-nav__item> <a href=../extract_contact_info/ class=md-nav__link> <span class=md-ellipsis> Extract Contact Info </span> </a> </li> <li class=md-nav__item> <a href=../mistral/ class=md-nav__link> <span class=md-ellipsis> Using Mistral Large </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../youtube_clips/ class=md-nav__link> <span class=md-ellipsis> Extract Youtube Clips </span> </a> </li> <li class=md-nav__item> <a href=../../tutorials/5-knowledge-graphs/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#langsmith class=md-nav__link> <span class=md-ellipsis> LangSmith </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/batch_classification_langsmith.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/batch_classification_langsmith.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=seamless-support-with-langsmith>Seamless Support with Langsmith<a class=headerlink href=#seamless-support-with-langsmith title="Permanent link">&para;</a></h1> <p>Its a common misconception that LangChain's <a href=https://www.langchain.com/langsmith>LangSmith</a> is only compatible with LangChain's models. In reality, LangSmith is a unified DevOps platform for developing, collaborating, testing, deploying, and monitoring LLM applications. In this blog we will explore how LangSmith can be used to enhance the OpenAI client alongside <code>instructor</code>.</p> <p>If you want to try this example using <code>instructor hub</code>, you can pull it by running</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>pip<span class=w> </span>install<span class=w> </span>-U<span class=w> </span>langsmith
diff --git a/hub/extract_contact_info/index.html b/hub/extract_contact_info/index.html
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</a> </li> <li class=md-nav__item> <a href=../multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class=md-nav__item> <a href=../llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class=md-nav__item> <a href=../together/ class=md-nav__link> <span class=md-ellipsis> Using Together Compute </span> </a> </li> <li class=md-nav__item> <a href=../anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class=md-nav__item> <a href=../groq/ class=md-nav__link> <span class=md-ellipsis> Using Groq </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification_langsmith/ class=md-nav__link> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> </li> <li class=md-nav__item> <a href=../action_items/ class=md-nav__link> <span class=md-ellipsis> Action Items </span> </a> </li> <li class=md-nav__item> <a href=../partial_streaming/ class=md-nav__link> <span class=md-ellipsis> Partial Streaming </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Extract Contact Info </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Extract Contact Info </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#motivation class=md-nav__link> <span class=md-ellipsis> Motivation </span> </a> </li> <li class=md-nav__item> <a href=#defining-the-structure class=md-nav__link> <span class=md-ellipsis> Defining the Structure </span> </a> </li> <li class=md-nav__item> <a href=#extracting-lead-information class=md-nav__link> <span class=md-ellipsis> Extracting Lead Information </span> </a> </li> <li class=md-nav__item> <a href=#evaluating-lead-extraction class=md-nav__link> <span class=md-ellipsis> Evaluating Lead Extraction </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../mistral/ class=md-nav__link> <span class=md-ellipsis> Using Mistral Large </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../youtube_clips/ class=md-nav__link> <span class=md-ellipsis> Extract Youtube Clips </span> </a> </li> <li class=md-nav__item> <a href=../../tutorials/5-knowledge-graphs/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#motivation class=md-nav__link> <span class=md-ellipsis> Motivation </span> </a> </li> <li class=md-nav__item> <a href=#defining-the-structure class=md-nav__link> <span class=md-ellipsis> Defining the Structure </span> </a> </li> <li class=md-nav__item> <a href=#extracting-lead-information class=md-nav__link> <span class=md-ellipsis> Extracting Lead Information </span> </a> </li> <li class=md-nav__item> <a href=#evaluating-lead-extraction class=md-nav__link> <span class=md-ellipsis> Evaluating Lead Extraction </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/extract_contact_info.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/extract_contact_info.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=customer-information-extraction>Customer Information Extraction<a class=headerlink href=#customer-information-extraction title="Permanent link">&para;</a></h1> <p>In this guide, we'll walk through how to extract customer lead information using OpenAI's API and Pydantic. This use case is essential for seamlessly automating the process of extracting specific information from a context.</p> <p>If you want to try this out via <code>instructor hub</code>, you can pull it by running:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>instructor<span class=w> </span>hub<span class=w> </span>pull<span class=w> </span>--slug<span class=w> </span>extract_contact_info<span class=w> </span>--py<span class=w> </span>&gt;<span class=w> </span>extract_contact_info.py
diff --git a/hub/groq/index.html b/hub/groq/index.html
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+++ b/hub/groq/index.html
@@ -1,4 +1,4 @@
-<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="A lightweight library for structured outputs with LLMs."><meta name=author content="Jason Liu"><link href=https://jxnl.github.io/instructor/hub/groq/ rel=canonical><link href=../anyscale/ rel=prev><link href=../batch_classification_langsmith/ rel=next><link rel=alternate type=application/rss+xml title="RSS feed" href=../../feed_rss_created.xml><link rel=alternate type=application/rss+xml title="RSS feed of updated content" href=../../feed_rss_updated.xml><link rel=icon href=../../assets/images/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.11"><title>Using Groq - Instructor</title><link rel=stylesheet href=../../assets/stylesheets/main.7e359304.min.css><link rel=stylesheet 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</a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_5 checked> <div class="md-nav__link md-nav__container"> <a href=../ class="md-nav__link "> <span class=md-ellipsis> Hub </span> </a> <label class="md-nav__link " for=__nav_5 id=__nav_5_label tabindex> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_5_label aria-expanded=true> <label class=md-nav__title for=__nav_5> <span class="md-nav__icon md-icon"></span> Hub </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../single_classification/ class=md-nav__link> <span class=md-ellipsis> Single Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class=md-nav__item> <a href=../llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class=md-nav__item> <a href=../together/ class=md-nav__link> <span class=md-ellipsis> Using Together Compute </span> </a> </li> <li class=md-nav__item> <a href=../anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Using Groq </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Using Groq </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#patching class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=#groq-ai class=md-nav__link> <span class=md-ellipsis> Groq AI </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../batch_classification_langsmith/ class=md-nav__link> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> </li> <li class=md-nav__item> <a href=../action_items/ class=md-nav__link> <span class=md-ellipsis> Action Items </span> </a> </li> <li class=md-nav__item> <a href=../partial_streaming/ class=md-nav__link> <span class=md-ellipsis> Partial Streaming </span> </a> </li> <li class=md-nav__item> <a href=../extract_contact_info/ class=md-nav__link> <span class=md-ellipsis> Extract Contact Info </span> </a> </li> <li class=md-nav__item> <a href=../mistral/ class=md-nav__link> <span class=md-ellipsis> Using Mistral Large </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../youtube_clips/ class=md-nav__link> <span class=md-ellipsis> Extract Youtube Clips </span> </a> </li> <li class=md-nav__item> <a href=../../tutorials/5-knowledge-graphs/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#patching class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=#groq-ai class=md-nav__link> <span class=md-ellipsis> Groq AI </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/groq.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/groq.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=structured-outputs-with-groq-ai>Structured Outputs with Groq AI<a class=headerlink href=#structured-outputs-with-groq-ai title="Permanent link">&para;</a></h1> <p>If you want to try this example using <code>instructor hub</code>, you can pull it by running</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>instructor<span class=w> </span>hub<span class=w> </span>pull<span class=w> </span>--slug<span class=w> </span>groq<span class=w> </span>--py<span class=w> </span>&gt;<span class=w> </span>groq_example.py
diff --git a/hub/index.html b/hub/index.html
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+++ b/hub/index.html
@@ -1,4 +1,4 @@
-<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="A lightweight library for structured outputs with LLMs."><meta name=author content="Jason Liu"><link href=https://jxnl.github.io/instructor/hub/ rel=canonical><link href=../concepts/typeadapter/ rel=prev><link href=single_classification/ rel=next><link rel=alternate type=application/rss+xml title="RSS feed" href=../feed_rss_created.xml><link rel=alternate type=application/rss+xml title="RSS feed of updated content" href=../feed_rss_updated.xml><link rel=icon href=../assets/images/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.11"><title>Introducing Instructor Hub - Instructor</title><link rel=stylesheet href=../assets/stylesheets/main.7e359304.min.css><link rel=stylesheet 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md-nav__item--pruned md-nav__item--nested"> <a href=../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_5 checked> <div class="md-nav__link md-nav__container"> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Hub </span> </a> <label class="md-nav__link md-nav__link--active" for=__nav_5 id=__nav_5_label tabindex> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_5_label aria-expanded=true> <label class=md-nav__title for=__nav_5> <span class="md-nav__icon md-icon"></span> Hub </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=single_classification/ class=md-nav__link> <span class=md-ellipsis> Single Classification Model </span> </a> </li> <li class=md-nav__item> <a href=multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class=md-nav__item> <a href=pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class=md-nav__item> <a href=llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class=md-nav__item> <a href=together/ class=md-nav__link> <span class=md-ellipsis> Using Together Compute </span> </a> </li> <li class=md-nav__item> <a href=anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class=md-nav__item> <a href=groq/ class=md-nav__link> <span class=md-ellipsis> Using Groq </span> </a> </li> <li class=md-nav__item> <a href=batch_classification_langsmith/ class=md-nav__link> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> </li> <li class=md-nav__item> <a href=action_items/ class=md-nav__link> <span class=md-ellipsis> Action Items </span> </a> </li> <li class=md-nav__item> <a href=partial_streaming/ class=md-nav__link> <span class=md-ellipsis> Partial Streaming </span> </a> </li> <li class=md-nav__item> <a href=extract_contact_info/ class=md-nav__link> <span class=md-ellipsis> Extract Contact Info </span> </a> </li> <li class=md-nav__item> <a href=mistral/ class=md-nav__link> <span class=md-ellipsis> Using Mistral Large </span> </a> </li> <li class=md-nav__item> <a href=knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=youtube_clips/ class=md-nav__link> <span class=md-ellipsis> Extract Youtube Clips </span> </a> </li> <li class=md-nav__item> <a href=../tutorials/5-knowledge-graphs/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#contributing class=md-nav__link> <span class=md-ellipsis> Contributing </span> </a> <nav class=md-nav aria-label=Contributing> <ul class=md-nav__list> <li class=md-nav__item> <a href=#using-pytest_examples class=md-nav__link> <span class=md-ellipsis> Using pytest_examples </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#cli-usage class=md-nav__link> <span class=md-ellipsis> CLI Usage </span> </a> <nav class=md-nav aria-label="CLI Usage"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#list-cookbooks class=md-nav__link> <span class=md-ellipsis> List Cookbooks </span> </a> </li> <li class=md-nav__item> <a href=#searching-for-cookbooks class=md-nav__link> <span class=md-ellipsis> Searching for Cookbooks </span> </a> </li> <li class=md-nav__item> <a href=#reading-a-cookbook class=md-nav__link> <span class=md-ellipsis> Reading a Cookbook </span> </a> </li> <li class=md-nav__item> <a href=#pulling-in-code class=md-nav__link> <span class=md-ellipsis> Pulling in Code </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#call-for-contributions class=md-nav__link> <span class=md-ellipsis> Call for Contributions </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/index.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/index.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=instructor-hub>Instructor Hub<a class=headerlink href=#instructor-hub title="Permanent link">&para;</a></h1> <p>Welcome to instructor hub, the goal of this project is to provide a set of tutorials and examples to help you get started, and allow you to pull in the code you need to get started with <code>instructor</code></p> <p>Make sure you're using the latest version of <code>instructor</code> by running:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>pip<span class=w> </span>install<span class=w> </span>-U<span class=w> </span>instructor
diff --git a/hub/knowledge_graph/index.html b/hub/knowledge_graph/index.html
index 7b7dfdc0f..6276b15d3 100644
--- a/hub/knowledge_graph/index.html
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@@ -1,4 +1,4 @@
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</a> </li> <li class=md-nav__item> <a href=../multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class=md-nav__item> <a href=../llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class=md-nav__item> <a href=../together/ class=md-nav__link> <span class=md-ellipsis> Using Together Compute </span> </a> </li> <li class=md-nav__item> <a href=../anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class=md-nav__item> <a href=../groq/ class=md-nav__link> <span class=md-ellipsis> Using Groq </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification_langsmith/ class=md-nav__link> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> </li> <li class=md-nav__item> <a href=../action_items/ class=md-nav__link> <span class=md-ellipsis> Action Items </span> </a> </li> <li class=md-nav__item> <a href=../partial_streaming/ class=md-nav__link> <span class=md-ellipsis> Partial Streaming </span> </a> </li> <li class=md-nav__item> <a href=../extract_contact_info/ class=md-nav__link> <span class=md-ellipsis> Extract Contact Info </span> </a> </li> <li class=md-nav__item> <a href=../mistral/ class=md-nav__link> <span class=md-ellipsis> Using Mistral Large </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../youtube_clips/ class=md-nav__link> <span class=md-ellipsis> Extract Youtube Clips </span> </a> </li> <li class=md-nav__item> <a href=../../tutorials/5-knowledge-graphs/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/knowledge_graph.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/knowledge_graph.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=building-knowledge-graphs-from-textual-data>Building Knowledge Graphs from Textual Data<a class=headerlink href=#building-knowledge-graphs-from-textual-data title="Permanent link">&para;</a></h1> <p>In this tutorial, we will explore the process of constructing knowledge graphs from textual data using OpenAI's API and Pydantic. This approach is crucial for efficiently automating the extraction of structured information from unstructured text.</p> <p>To experiment with this yourself through <code>instructor hub</code>, you can obtain the necessary code by executing:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>instructor<span class=w> </span>hub<span class=w> </span>pull<span class=w> </span>--slug<span class=w> </span>knowledge_graph<span class=w> </span>--py<span class=w> </span>&gt;<span class=w> </span>knowledge_graph.py
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</a> </li> <li class=md-nav__item> <a href=../multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Using Llama CPP </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Using Llama CPP </span> </a> <nav class="md-nav md-nav--secondary" 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<a href=#llama-cpp-python class=md-nav__link> <span class=md-ellipsis> llama-cpp-python </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/llama-cpp-python.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/llama-cpp-python.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=structured-outputs-with-llama-cpp-python>Structured Outputs with llama-cpp-python<a class=headerlink href=#structured-outputs-with-llama-cpp-python title="Permanent link">&para;</a></h1> <p>If you want to try this example using <code>instructor hub</code>, you can pull it by running</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>instructor<span class=w> </span>hub<span class=w> </span>pull<span class=w> </span>--slug<span class=w> </span>llama-cpp-python<span class=w> </span>--py<span class=w> </span>&gt;<span class=w> </span>llama_cpp_python_example.py
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-<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="A lightweight library for structured outputs with LLMs."><meta name=author content="Jason Liu"><link href=https://jxnl.github.io/instructor/hub/mistral/ rel=canonical><link href=../extract_contact_info/ rel=prev><link href=../knowledge_graph/ rel=next><link rel=alternate type=application/rss+xml title="RSS feed" href=../../feed_rss_created.xml><link rel=alternate type=application/rss+xml title="RSS feed of updated content" href=../../feed_rss_updated.xml><link rel=icon href=../../assets/images/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.11"><title>Using Mistral Large - Instructor</title><link rel=stylesheet href=../../assets/stylesheets/main.7e359304.min.css><link rel=stylesheet 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</a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_5 checked> <div class="md-nav__link md-nav__container"> <a href=../ class="md-nav__link "> <span class=md-ellipsis> Hub </span> </a> <label class="md-nav__link " for=__nav_5 id=__nav_5_label tabindex> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_5_label aria-expanded=true> <label class=md-nav__title for=__nav_5> <span class="md-nav__icon md-icon"></span> Hub </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../single_classification/ class=md-nav__link> <span class=md-ellipsis> Single Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class=md-nav__item> <a href=../llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class=md-nav__item> <a href=../together/ class=md-nav__link> <span class=md-ellipsis> Using Together Compute </span> </a> </li> <li class=md-nav__item> <a href=../anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class=md-nav__item> <a href=../groq/ class=md-nav__link> <span class=md-ellipsis> Using Groq </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification_langsmith/ class=md-nav__link> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> </li> <li class=md-nav__item> <a href=../action_items/ class=md-nav__link> <span class=md-ellipsis> Action Items </span> </a> </li> <li class=md-nav__item> <a href=../partial_streaming/ class=md-nav__link> <span class=md-ellipsis> Partial Streaming </span> </a> </li> <li class=md-nav__item> <a href=../extract_contact_info/ class=md-nav__link> <span class=md-ellipsis> Extract Contact Info </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Using Mistral Large </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Using Mistral Large </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#patching class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=#mistral-client class=md-nav__link> <span class=md-ellipsis> Mistral Client </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../youtube_clips/ class=md-nav__link> <span class=md-ellipsis> Extract Youtube Clips </span> </a> </li> <li class=md-nav__item> <a href=../../tutorials/5-knowledge-graphs/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#patching class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=#mistral-client class=md-nav__link> <span class=md-ellipsis> Mistral Client </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/mistral.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/mistral.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=structured-outputs-with-mistral-large>Structured Outputs with Mistral Large<a class=headerlink href=#structured-outputs-with-mistral-large title="Permanent link">&para;</a></h1> <p>If you want to try this example using <code>instructor hub</code>, you can pull it by running</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>instructor<span class=w> </span>hub<span class=w> </span>pull<span class=w> </span>--slug<span class=w> </span>mistral<span class=w> </span>--py<span class=w> </span>&gt;<span class=w> </span>mistral_example.py
diff --git a/hub/multiple_classification/index.html b/hub/multiple_classification/index.html
index cb561cf49..12e077a39 100644
--- a/hub/multiple_classification/index.html
+++ b/hub/multiple_classification/index.html
@@ -1,4 +1,4 @@
-<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="A lightweight library for structured outputs with LLMs."><meta name=author content="Jason Liu"><link href=https://jxnl.github.io/instructor/hub/multiple_classification/ rel=canonical><link href=../single_classification/ rel=prev><link href=../tables_from_vision/ rel=next><link rel=alternate type=application/rss+xml title="RSS feed" href=../../feed_rss_created.xml><link rel=alternate type=application/rss+xml title="RSS feed of updated content" href=../../feed_rss_updated.xml><link rel=icon href=../../assets/images/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.11"><title>Multiple Classification Model - Instructor</title><link rel=stylesheet href=../../assets/stylesheets/main.7e359304.min.css><link rel=stylesheet 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<span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_5 checked> <div class="md-nav__link md-nav__container"> <a href=../ class="md-nav__link "> <span class=md-ellipsis> Hub </span> </a> <label class="md-nav__link " for=__nav_5 id=__nav_5_label tabindex> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_5_label aria-expanded=true> <label class=md-nav__title for=__nav_5> <span class="md-nav__icon md-icon"></span> Hub </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../single_classification/ class=md-nav__link> <span class=md-ellipsis> Single Classification Model </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class=md-nav__item> <a href=../llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class=md-nav__item> <a href=../together/ class=md-nav__link> <span class=md-ellipsis> Using Together Compute </span> </a> </li> <li class=md-nav__item> <a href=../anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class=md-nav__item> <a href=../groq/ class=md-nav__link> <span class=md-ellipsis> Using Groq </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification_langsmith/ class=md-nav__link> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> </li> <li class=md-nav__item> <a href=../action_items/ class=md-nav__link> <span class=md-ellipsis> Action Items </span> </a> </li> <li class=md-nav__item> <a href=../partial_streaming/ class=md-nav__link> <span class=md-ellipsis> Partial Streaming </span> </a> </li> <li class=md-nav__item> <a href=../extract_contact_info/ class=md-nav__link> <span class=md-ellipsis> Extract Contact Info </span> </a> </li> <li class=md-nav__item> <a href=../mistral/ class=md-nav__link> <span class=md-ellipsis> Using Mistral Large </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../youtube_clips/ class=md-nav__link> <span class=md-ellipsis> Extract Youtube Clips </span> </a> </li> <li class=md-nav__item> <a href=../../tutorials/5-knowledge-graphs/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/multiple_classification.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/multiple_classification.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1>Multiple Classification Model</h1> <p>If you want to try outs via <code>instructor hub</code>, you can pull it by running</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>instructor<span class=w> </span>hub<span class=w> </span>pull<span class=w> </span>--slug<span class=w> </span>multiple_classification<span class=w> </span>--py<span class=w> </span>&gt;<span class=w> </span>multiple_classification.py
diff --git a/hub/ollama/index.html b/hub/ollama/index.html
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@@ -1,4 +1,4 @@
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</a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_5 checked> <div class="md-nav__link md-nav__container"> <a href=../ class="md-nav__link "> <span class=md-ellipsis> Hub </span> </a> <label class="md-nav__link " for=__nav_5 id=__nav_5_label tabindex> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_5_label aria-expanded=true> <label class=md-nav__title for=__nav_5> <span class="md-nav__icon md-icon"></span> Hub </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../single_classification/ class=md-nav__link> <span class=md-ellipsis> Single Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Using Ollama </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Using Ollama </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#patching class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=#ollama class=md-nav__link> <span class=md-ellipsis> Ollama </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class=md-nav__item> <a href=../together/ class=md-nav__link> <span class=md-ellipsis> Using Together Compute </span> </a> </li> <li class=md-nav__item> <a href=../anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class=md-nav__item> <a href=../groq/ class=md-nav__link> <span class=md-ellipsis> Using Groq </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification_langsmith/ class=md-nav__link> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> </li> <li class=md-nav__item> <a href=../action_items/ class=md-nav__link> <span class=md-ellipsis> Action Items </span> </a> </li> <li class=md-nav__item> <a href=../partial_streaming/ class=md-nav__link> <span class=md-ellipsis> Partial Streaming </span> </a> </li> <li class=md-nav__item> <a href=../extract_contact_info/ class=md-nav__link> <span class=md-ellipsis> Extract Contact Info </span> </a> </li> <li class=md-nav__item> <a href=../mistral/ class=md-nav__link> <span class=md-ellipsis> Using Mistral Large </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../youtube_clips/ class=md-nav__link> <span class=md-ellipsis> Extract Youtube Clips </span> </a> </li> <li class=md-nav__item> <a href=../../tutorials/5-knowledge-graphs/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#patching class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=#ollama class=md-nav__link> <span class=md-ellipsis> Ollama </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/ollama.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/ollama.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=structured-outputs-with-ollama>Structured Outputs with Ollama<a class=headerlink href=#structured-outputs-with-ollama title="Permanent link">&para;</a></h1> <p>If you want to try this example using <code>instructor hub</code>, you can pull it by running</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>instructor<span class=w> </span>hub<span class=w> </span>pull<span class=w> </span>--slug<span class=w> </span>ollama<span class=w> </span>--py<span class=w> </span>&gt;<span class=w> </span>ollama_example.py
diff --git a/hub/pandas_df/index.html b/hub/pandas_df/index.html
index 6d93ad5b1..b47829b9a 100644
--- a/hub/pandas_df/index.html
+++ b/hub/pandas_df/index.html
@@ -1,4 +1,4 @@
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class=md-nav__link> <span class=md-ellipsis> Single Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class=md-nav__item> <a href=../llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class=md-nav__item> <a href=../together/ class=md-nav__link> <span class=md-ellipsis> Using Together Compute </span> </a> </li> <li class=md-nav__item> <a href=../anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class=md-nav__item> <a href=../groq/ class=md-nav__link> <span class=md-ellipsis> Using Groq </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification_langsmith/ class=md-nav__link> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> </li> <li class=md-nav__item> <a href=../action_items/ class=md-nav__link> <span class=md-ellipsis> Action Items </span> </a> </li> <li class=md-nav__item> <a href=../partial_streaming/ class=md-nav__link> <span class=md-ellipsis> Partial Streaming </span> </a> </li> <li class=md-nav__item> <a href=../extract_contact_info/ class=md-nav__link> <span class=md-ellipsis> Extract Contact Info </span> </a> </li> <li class=md-nav__item> <a href=../mistral/ class=md-nav__link> <span class=md-ellipsis> Using Mistral Large </span> </a> </li> <li class=md-nav__item> <a 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class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/pandas_df.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/pandas_df.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=extracting-directly-to-a-dataframe>Extracting directly to a DataFrame<a class=headerlink href=#extracting-directly-to-a-dataframe title="Permanent link">&para;</a></h1> <p>You can pull this example into your IDE by running the following command:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>instructor<span class=w> </span>hub<span class=w> </span>pull<span class=w> </span>--slug<span class=w> </span>pandas_df<span class=w> </span>--py<span class=w> </span>&gt;<span class=w> </span>pandas_df.py
diff --git a/hub/partial_streaming/index.html b/hub/partial_streaming/index.html
index 8df979c0d..ecc33e5c8 100644
--- a/hub/partial_streaming/index.html
+++ b/hub/partial_streaming/index.html
@@ -1,4 +1,4 @@
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1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"/></svg> </div> <div class=md-source__repository> instructor </div> </a> </div> <ul class=md-nav__list data-md-scrollfix> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../.. class=md-nav__link> <span class=md-ellipsis> Introduction </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../examples/ class=md-nav__link> <span class=md-ellipsis> Cookbook </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../blog/ class=md-nav__link> <span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_5 checked> <div class="md-nav__link md-nav__container"> <a href=../ class="md-nav__link "> <span class=md-ellipsis> Hub </span> </a> <label class="md-nav__link " for=__nav_5 id=__nav_5_label tabindex> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_5_label aria-expanded=true> <label class=md-nav__title for=__nav_5> <span class="md-nav__icon md-icon"></span> Hub </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../single_classification/ class=md-nav__link> <span class=md-ellipsis> Single Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class=md-nav__item> <a href=../llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class=md-nav__item> <a href=../together/ class=md-nav__link> <span class=md-ellipsis> Using Together Compute </span> </a> </li> <li class=md-nav__item> <a href=../anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class=md-nav__item> <a href=../groq/ class=md-nav__link> <span class=md-ellipsis> Using Groq </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification_langsmith/ class=md-nav__link> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> </li> <li class=md-nav__item> <a href=../action_items/ class=md-nav__link> <span class=md-ellipsis> Action Items </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Partial Streaming </span> </a> </li> <li class=md-nav__item> <a href=../extract_contact_info/ class=md-nav__link> <span class=md-ellipsis> Extract Contact Info </span> </a> </li> <li class=md-nav__item> <a href=../mistral/ class=md-nav__link> <span class=md-ellipsis> Using Mistral Large </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../youtube_clips/ class=md-nav__link> <span class=md-ellipsis> Extract Youtube Clips </span> </a> </li> <li class=md-nav__item> <a href=../../tutorials/5-knowledge-graphs/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/partial_streaming.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/partial_streaming.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=streaming-partial-responses>Streaming Partial Responses<a class=headerlink href=#streaming-partial-responses title="Permanent link">&para;</a></h1> <p>Field level streaming provides incremental snapshots of the current state of the response model that are immediately useable. This approach is particularly relevant in contexts like rendering UI components.</p> <p>Instructor supports this pattern by making use of <code>Partial[T]</code>. This lets us dynamically create a new class that treats all of the original model's fields as <code>Optional</code>.</p> <p>If you want to try outs via <code>instructor hub</code>, you can pull it by running</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>instructor<span class=w> </span>hub<span class=w> </span>pull<span class=w> </span>--slug<span class=w> </span>partial_streaming<span class=w> </span>--py<span class=w> </span>&gt;<span class=w> </span>partial_streaming.py
diff --git a/hub/single_classification/index.html b/hub/single_classification/index.html
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-<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="A lightweight library for structured outputs with LLMs."><meta name=author content="Jason Liu"><link href=https://jxnl.github.io/instructor/hub/single_classification/ rel=canonical><link href=../ rel=prev><link href=../multiple_classification/ rel=next><link rel=alternate type=application/rss+xml title="RSS feed" href=../../feed_rss_created.xml><link rel=alternate type=application/rss+xml title="RSS feed of updated content" href=../../feed_rss_updated.xml><link rel=icon href=../../assets/images/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.11"><title>Single Classification Model - Instructor</title><link rel=stylesheet href=../../assets/stylesheets/main.7e359304.min.css><link rel=stylesheet 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5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"/></svg> </div> <div class=md-source__repository> instructor </div> </a> </div> <ul class=md-nav__list data-md-scrollfix> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../.. class=md-nav__link> <span class=md-ellipsis> Introduction </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../examples/ class=md-nav__link> <span class=md-ellipsis> Cookbook </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../blog/ class=md-nav__link> 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class="md-nav__toggle md-toggle" type=checkbox id=__toc> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Single Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class=md-nav__item> <a href=../llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class=md-nav__item> <a href=../together/ class=md-nav__link> <span class=md-ellipsis> Using Together Compute </span> </a> </li> <li class=md-nav__item> <a href=../anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class=md-nav__item> <a href=../groq/ class=md-nav__link> <span class=md-ellipsis> Using Groq </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification_langsmith/ class=md-nav__link> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> </li> <li class=md-nav__item> <a href=../action_items/ class=md-nav__link> <span class=md-ellipsis> Action Items </span> </a> </li> <li class=md-nav__item> <a href=../partial_streaming/ class=md-nav__link> <span class=md-ellipsis> Partial Streaming </span> </a> </li> <li class=md-nav__item> <a href=../extract_contact_info/ class=md-nav__link> <span class=md-ellipsis> Extract Contact Info </span> </a> </li> <li class=md-nav__item> <a href=../mistral/ class=md-nav__link> <span class=md-ellipsis> Using Mistral Large </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../youtube_clips/ class=md-nav__link> <span class=md-ellipsis> Extract Youtube Clips </span> </a> </li> <li class=md-nav__item> <a href=../../tutorials/5-knowledge-graphs/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/single_classification.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/single_classification.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=single-label-classification>Single-Label Classification<a class=headerlink href=#single-label-classification title="Permanent link">&para;</a></h1> <p>IF you want to try this code with <code>instructor hub</code> you can pull it by running</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>instructor<span class=w> </span>hub<span class=w> </span>pull<span class=w> </span>--slug<span class=w> </span>single_classification<span class=w> </span>--py<span class=w> </span>&gt;<span class=w> </span>single_classification.py
diff --git a/hub/tables_from_vision/index.html b/hub/tables_from_vision/index.html
index cf1cdb225..75dccf6aa 100644
--- a/hub/tables_from_vision/index.html
+++ b/hub/tables_from_vision/index.html
@@ -1,4 +1,4 @@
-<!doctype html><html lang=en class=no-js> <head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta name=description content="A lightweight library for structured outputs with LLMs."><meta name=author content="Jason Liu"><link href=https://jxnl.github.io/instructor/hub/tables_from_vision/ rel=canonical><link href=../multiple_classification/ rel=prev><link href=../pandas_df/ rel=next><link rel=alternate type=application/rss+xml title="RSS feed" href=../../feed_rss_created.xml><link rel=alternate type=application/rss+xml title="RSS feed of updated content" href=../../feed_rss_updated.xml><link rel=icon href=../../assets/images/favicon.png><meta name=generator content="mkdocs-1.5.3, mkdocs-material-9.5.11"><title>Extracting Tables using GPT-V - Instructor</title><link rel=stylesheet href=../../assets/stylesheets/main.7e359304.min.css><link rel=stylesheet 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class=md-nav__link> <span class=md-ellipsis> Single Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Extracting Tables using GPT-V </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-the-table-class class=md-nav__link> <span class=md-ellipsis> Defining the Table Class </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class=md-nav__item> <a href=../llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class=md-nav__item> <a href=../together/ class=md-nav__link> <span class=md-ellipsis> Using Together Compute </span> </a> </li> <li class=md-nav__item> <a href=../anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class=md-nav__item> <a href=../groq/ class=md-nav__link> <span class=md-ellipsis> Using Groq </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification_langsmith/ class=md-nav__link> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> </li> <li 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md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-the-table-class class=md-nav__link> <span class=md-ellipsis> Defining the Table Class </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/tables_from_vision.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/tables_from_vision.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=extracting-tables-from-images-with-openais-gpt-4-vision-model>Extracting Tables from Images with OpenAI's GPT-4 Vision Model<a class=headerlink href=#extracting-tables-from-images-with-openais-gpt-4-vision-model title="Permanent link">&para;</a></h1> <p>First, we define a custom type, <code>MarkdownDataFrame</code>, to handle pandas DataFrames formatted in markdown. This type uses Python's <code>Annotated</code> and <code>InstanceOf</code> types, along with decorators <code>BeforeValidator</code> and <code>PlainSerializer</code>, to process and serialize the data.</p> <h2 id=defining-the-table-class>Defining the Table Class<a class=headerlink href=#defining-the-table-class title="Permanent link">&para;</a></h2> <p>The <code>Table</code> class is essential for organizing the extracted data. It includes a caption and a dataframe, processed as a markdown table. Since most of the complexity is handled by the <code>MarkdownDataFrame</code> type, the <code>Table</code> class is straightforward!</p> <p>This requires additional dependencies <code>pip install pandas tabulate</code>.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>from</span> <span class=nn>openai</span> <span class=kn>import</span> <span class=n>OpenAI</span>
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<span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type=checkbox id=__nav_5 checked> <div class="md-nav__link md-nav__container"> <a href=../ class="md-nav__link "> <span class=md-ellipsis> Hub </span> </a> <label class="md-nav__link " for=__nav_5 id=__nav_5_label tabindex> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class=md-nav data-md-level=1 aria-labelledby=__nav_5_label aria-expanded=true> <label class=md-nav__title for=__nav_5> <span class="md-nav__icon md-icon"></span> Hub </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../single_classification/ class=md-nav__link> <span class=md-ellipsis> Single Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class=md-nav__item> <a href=../llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Using Together Compute </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Using Together Compute </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#patching class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=#together-ai class=md-nav__link> <span class=md-ellipsis> Together AI </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class=md-nav__item> <a href=../groq/ class=md-nav__link> <span class=md-ellipsis> Using Groq </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification_langsmith/ class=md-nav__link> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> </li> <li class=md-nav__item> <a href=../action_items/ class=md-nav__link> <span class=md-ellipsis> Action Items </span> </a> </li> <li class=md-nav__item> <a href=../partial_streaming/ class=md-nav__link> <span class=md-ellipsis> Partial Streaming </span> </a> </li> <li class=md-nav__item> <a href=../extract_contact_info/ class=md-nav__link> <span class=md-ellipsis> Extract Contact Info </span> </a> </li> <li class=md-nav__item> <a href=../mistral/ class=md-nav__link> <span class=md-ellipsis> Using Mistral Large </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> <li class=md-nav__item> <a href=../youtube_clips/ class=md-nav__link> <span class=md-ellipsis> Extract Youtube Clips </span> </a> </li> <li class=md-nav__item> <a href=../../tutorials/5-knowledge-graphs/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#patching class=md-nav__link> <span class=md-ellipsis> Patching </span> </a> </li> <li class=md-nav__item> <a href=#together-ai class=md-nav__link> <span class=md-ellipsis> Together AI </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/together.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/together.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=structured-outputs-with-together-ai>Structured Outputs with Together AI<a class=headerlink href=#structured-outputs-with-together-ai title="Permanent link">&para;</a></h1> <p>If you want to try this example using <code>instructor hub</code>, you can pull it by running</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>instructor<span class=w> </span>hub<span class=w> </span>pull<span class=w> </span>--slug<span class=w> </span>together<span class=w> </span>--py<span class=w> </span>&gt;<span class=w> </span>together_example.py
diff --git a/hub/youtube_clips/index.html b/hub/youtube_clips/index.html
index 2717d2c88..7da3156cc 100644
--- a/hub/youtube_clips/index.html
+++ b/hub/youtube_clips/index.html
@@ -1,4 +1,4 @@
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</a> </li> <li class=md-nav__item> <a href=../multiple_classification/ class=md-nav__link> <span class=md-ellipsis> Multiple Classification Model </span> </a> </li> <li class=md-nav__item> <a href=../tables_from_vision/ class=md-nav__link> <span class=md-ellipsis> Extracting Tables using GPT-V </span> </a> </li> <li class=md-nav__item> <a href=../pandas_df/ class=md-nav__link> <span class=md-ellipsis> Extract Pandas Dataframes </span> </a> </li> <li class=md-nav__item> <a href=../ollama/ class=md-nav__link> <span class=md-ellipsis> Using Ollama </span> </a> </li> <li class=md-nav__item> <a href=../llama-cpp-python/ class=md-nav__link> <span class=md-ellipsis> Using Llama CPP </span> </a> </li> <li class=md-nav__item> <a href=../together/ class=md-nav__link> <span class=md-ellipsis> Using Together Compute </span> </a> </li> <li class=md-nav__item> <a href=../anyscale/ class=md-nav__link> <span class=md-ellipsis> Using Anyscale </span> </a> </li> <li class=md-nav__item> <a href=../groq/ class=md-nav__link> <span class=md-ellipsis> Using Groq </span> </a> </li> <li class=md-nav__item> <a href=../batch_classification_langsmith/ class=md-nav__link> <span class=md-ellipsis> Batch Async Classification w/ Langsmith </span> </a> </li> <li class=md-nav__item> <a href=../action_items/ class=md-nav__link> <span class=md-ellipsis> Action Items </span> </a> </li> <li class=md-nav__item> <a href=../partial_streaming/ class=md-nav__link> <span class=md-ellipsis> Partial Streaming </span> </a> </li> <li class=md-nav__item> <a href=../extract_contact_info/ class=md-nav__link> <span class=md-ellipsis> Extract Contact Info </span> </a> </li> <li class=md-nav__item> <a href=../mistral/ class=md-nav__link> <span class=md-ellipsis> Using Mistral Large </span> </a> </li> <li class=md-nav__item> <a href=../knowledge_graph/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Extract Youtube Clips </span> </a> </li> <li class=md-nav__item> <a href=../../tutorials/5-knowledge-graphs/ class=md-nav__link> <span class=md-ellipsis> Knowledge Graphs </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=../../tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/hub/youtube_clips.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/hub/youtube_clips.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=generating-youtube-clips-from-transcripts>Generating YouTube Clips from Transcripts<a class=headerlink href=#generating-youtube-clips-from-transcripts title="Permanent link">&para;</a></h1> <p>This guide demonstrates how to generate concise, informative clips from YouTube video transcripts using the <code>instructor</code> library. By leveraging the power of OpenAI's models, we can extract meaningful segments from a video's transcript, which can then be recut into smaller, standalone videos. This process involves identifying key moments within a transcript and summarizing them into clips with specific titles and descriptions.</p> <p>If you're interested in trying this example using <code>instructor hub</code>, you can pull it by running:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>pip<span class=w> </span>install<span class=w> </span>youtube_transcript_api<span class=w> </span>instructor<span class=w> </span>rich<span class=w> </span>
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Introduction </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=why/ class=md-nav__link> <span class=md-ellipsis> Why use Instructor? </span> </a> </li> <li class=md-nav__item> <a href=help/ class=md-nav__link> <span class=md-ellipsis> Help with Instructor </span> </a> </li> <li class=md-nav__item> <a href=installation/ class=md-nav__link> <span class=md-ellipsis> Installation </span> </a> </li> <li class=md-nav__item> <a href=contributing/ class=md-nav__link> <span class=md-ellipsis> Contributing </span> </a> </li> <li class=md-nav__item> <a href=concepts/philosophy/ class=md-nav__link> <span class=md-ellipsis> Philosophy </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=examples/ class=md-nav__link> <span class=md-ellipsis> Cookbook </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=blog/ class=md-nav__link> <span class=md-ellipsis> Blog </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=concepts/models/ class=md-nav__link> <span class=md-ellipsis> Concepts </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=hub/ class=md-nav__link> <span class=md-ellipsis> Hub </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=cli/ class=md-nav__link> <span class=md-ellipsis> CLI Reference </span> <span class="md-nav__icon md-icon"></span> </a> </li> <li class="md-nav__item md-nav__item--pruned md-nav__item--nested"> <a href=tutorials/1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials </span> <span class="md-nav__icon md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#getting-started class=md-nav__link> <span class=md-ellipsis> Getting Started </span> </a> </li> <li class=md-nav__item> <a href=#usage class=md-nav__link> <span class=md-ellipsis> Usage </span> </a> </li> <li class=md-nav__item> <a href=#why-use-instructor class=md-nav__link> <span class=md-ellipsis> Why use Instructor? </span> </a> </li> <li class=md-nav__item> <a href=#more-examples class=md-nav__link> <span class=md-ellipsis> More Examples </span> </a> </li> <li class=md-nav__item> <a href=#contributing class=md-nav__link> <span class=md-ellipsis> Contributing </span> </a> </li> <li class=md-nav__item> <a href=#license class=md-nav__link> <span class=md-ellipsis> License </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/index.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/index.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=instructor-generating-structure-from-llms>Instructor, Generating Structure from LLMs<a class=headerlink href=#instructor-generating-structure-from-llms title="Permanent link">&para;</a></h1> <p><em>Structured outputs powered by llms. Designed for simplicity, transparency, and control.</em></p> <hr> <p><a href=https://twitter.com/jxnlco><img alt="Twitter Follow" src="https://img.shields.io/twitter/follow/jxnlco?style=social"></a> <a href=https://discord.gg/CV8sPM5k5Y><img alt=Discord src="https://img.shields.io/discord/1192334452110659664?label=discord"></a> <a href=https://pypi.python.org/pypi/instructor><img alt=Downloads src=https://img.shields.io/pypi/dm/instructor.svg></a> <a href=https://chat.openai.com/g/g-EvZweRWrE-instructor-gpt><img alt=GPT src=https://img.shields.io/badge/docs-InstructorGPT-blue></a></p> <p>Instructor makes it easy to reliably get structured data like JSON from Large Language Models (LLMs) like GPT-3.5, GPT-4, GPT-4-Vision, including open source models like Mistral/Mixtral from <a href=hub/together/ >Together</a>, <a href=hub/anyscale/ >Anyscale</a>, <a href=hub/ollama/ >Ollama</a>, and <a href=hub/llama-cpp-python/ >llama-cpp-python</a>.</p> <p>By leveraging various modes like Function Calling, Tool Calling and even constrained sampling modes like JSON mode, JSON Schema; Instructor stands out for its simplicity, transparency, and user-centric design. We leverage Pydantic to do the heavy lifting, and we've built a simple, easy-to-use API on top of it by helping you manage <a href=concepts/reask_validation/ >validation context</a>, retries with <a href=concepts/retrying/ >Tenacity</a>, and streaming <a href=concepts/lists/ >Lists</a> and <a href=concepts/partial/ >Partial</a> responses.</p> <p>We also provide a library in <a href=https://instructor-ai.github.io/instructor-js/ >Typescript</a>, <a href=https://github.com/thmsmlr/instructor_ex/ >Elixir</a> and <a href=https://github.com/cognesy/instructor-php/ >PHP</a>.</p> <hr> <h2 id=getting-started>Getting Started<a class=headerlink href=#getting-started title="Permanent link">&para;</a></h2> <div class="language-text highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>pip install -U instructor
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md-icon"></span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/installation.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/installation.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1>Installation</h1> <p>Installation is as simple as:</p> <div class="language-bash highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a>pip<span class=w> </span>install<span class=w> </span>instructor
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Dictionaries </span> </a> </li> <li class=md-nav__item> <a href=#pydantic-to-the-rescue class=md-nav__link> <span class=md-ellipsis> Pydantic to the rescue </span> </a> </li> <li class=md-nav__item> <a href=#fundamental-problem-with-asking-for-json-from-openai class=md-nav__link> <span class=md-ellipsis> Fundamental problem with asking for JSON from OpenAI </span> </a> </li> <li class=md-nav__item> <a href=#introduction-to-function-calling class=md-nav__link> <span class=md-ellipsis> Introduction to Function Calling </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../2-tips/ class=md-nav__link> <span class=md-ellipsis> Tips and Tricks </span> </a> </li> <li class=md-nav__item> <a href=../3-0-applications-rag/ class=md-nav__link> <span class=md-ellipsis> Applications RAG </span> </a> </li> <li class=md-nav__item> <a href=../3-1-validation-rag/ class=md-nav__link> <span class=md-ellipsis> Applications RAG - 2 </span> </a> </li> <li class=md-nav__item> <a 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class=md-ellipsis> Fundamental problem with asking for JSON from OpenAI </span> </a> </li> <li class=md-nav__item> <a href=#introduction-to-function-calling class=md-nav__link> <span class=md-ellipsis> Introduction to Function Calling </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/tutorials/1-introduction.ipynb title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/tutorials/1-introduction.ipynb title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 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class=md-nav__link> <span class=md-ellipsis> Classification </span> </a> </li> <li class=md-nav__item> <a href=#arbitrary-properties class=md-nav__link> <span class=md-ellipsis> Arbitrary properties </span> </a> </li> <li class=md-nav__item> <a href=#limiting-the-length-of-lists class=md-nav__link> <span class=md-ellipsis> Limiting the length of lists </span> </a> </li> <li class=md-nav__item> <a href=#defining-multiple-entities class=md-nav__link> <span class=md-ellipsis> Defining Multiple Entities </span> </a> </li> <li class=md-nav__item> <a href=#defining-relationships class=md-nav__link> <span class=md-ellipsis> Defining Relationships </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../3-0-applications-rag/ class=md-nav__link> <span class=md-ellipsis> Applications RAG </span> </a> </li> <li class=md-nav__item> <a href=../3-1-validation-rag/ class=md-nav__link> <span class=md-ellipsis> Applications RAG - 2 </span> </a> </li> <li class=md-nav__item> <a href=../4-validation/ class=md-nav__link> <span class=md-ellipsis> Validation </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#classification class=md-nav__link> <span class=md-ellipsis> Classification </span> </a> </li> <li class=md-nav__item> <a href=#arbitrary-properties class=md-nav__link> <span class=md-ellipsis> Arbitrary properties </span> </a> </li> <li class=md-nav__item> <a href=#limiting-the-length-of-lists class=md-nav__link> <span class=md-ellipsis> Limiting the length of lists </span> </a> </li> <li class=md-nav__item> <a href=#defining-multiple-entities class=md-nav__link> <span class=md-ellipsis> Defining Multiple Entities </span> </a> </li> <li class=md-nav__item> <a href=#defining-relationships class=md-nav__link> <span class=md-ellipsis> Defining Relationships </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/tutorials/2-tips.ipynb title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/tutorials/2-tips.ipynb title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 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aria-labelledby=__nav_7_label aria-expanded=true> <label class=md-nav__title for=__nav_7> <span class="md-nav__icon md-icon"></span> Tutorials </label> <ul class=md-nav__list data-md-scrollfix> <li class=md-nav__item> <a href=../1-introduction/ class=md-nav__link> <span class=md-ellipsis> Tutorials (Notebooks) </span> </a> </li> <li class=md-nav__item> <a href=../2-tips/ class=md-nav__link> <span class=md-ellipsis> Tips and Tricks </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type=checkbox id=__toc> <label class="md-nav__link md-nav__link--active" for=__toc> <span class=md-ellipsis> Applications RAG </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Applications RAG </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#simple-rag class=md-nav__link> <span class=md-ellipsis> Simple RAG </span> </a> </li> <li class=md-nav__item> <a href=#improving-the-rag-model class=md-nav__link> <span class=md-ellipsis> Improving the RAG model </span> </a> </li> <li class=md-nav__item> <a href=#practical-examples class=md-nav__link> <span class=md-ellipsis> Practical Examples </span> </a> <nav class=md-nav aria-label="Practical Examples"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#example-1-improving-extractions class=md-nav__link> <span class=md-ellipsis> Example 1) Improving Extractions </span> </a> </li> <li class=md-nav__item> <a href=#example-2-understanding-recent-queries-to-add-temporal-context class=md-nav__link> <span class=md-ellipsis> Example 2) Understanding 'recent queries' to add temporal context </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#using-weights-and-biases-to-track-experiments class=md-nav__link> <span class=md-ellipsis> Using Weights and Biases to track experiments </span> </a> <nav class=md-nav aria-label="Using Weights and Biases to track experiments"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#example-3-personal-assistants-parallel-processing class=md-nav__link> <span class=md-ellipsis> Example 3) Personal Assistants, parallel processing </span> </a> </li> <li class=md-nav__item> <a href=#example-4-decomposing-questions class=md-nav__link> <span class=md-ellipsis> Example 4) Decomposing questions </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../3-1-validation-rag/ class=md-nav__link> <span class=md-ellipsis> Applications RAG - 2 </span> </a> </li> <li class=md-nav__item> <a href=../4-validation/ class=md-nav__link> <span class=md-ellipsis> Validation </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#simple-rag class=md-nav__link> <span class=md-ellipsis> Simple RAG </span> </a> </li> <li class=md-nav__item> <a href=#improving-the-rag-model class=md-nav__link> <span class=md-ellipsis> Improving the RAG model </span> </a> </li> <li class=md-nav__item> <a href=#practical-examples class=md-nav__link> <span class=md-ellipsis> Practical Examples </span> </a> <nav class=md-nav aria-label="Practical Examples"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#example-1-improving-extractions class=md-nav__link> <span class=md-ellipsis> Example 1) Improving Extractions </span> </a> </li> <li class=md-nav__item> <a href=#example-2-understanding-recent-queries-to-add-temporal-context class=md-nav__link> <span class=md-ellipsis> Example 2) Understanding 'recent queries' to add temporal context </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#using-weights-and-biases-to-track-experiments class=md-nav__link> <span class=md-ellipsis> Using Weights and Biases to track experiments </span> </a> <nav class=md-nav aria-label="Using Weights and Biases to track experiments"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#example-3-personal-assistants-parallel-processing class=md-nav__link> <span class=md-ellipsis> Example 3) Personal Assistants, parallel processing </span> </a> </li> <li class=md-nav__item> <a href=#example-4-decomposing-questions class=md-nav__link> <span class=md-ellipsis> Example 4) Decomposing questions </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> 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2 </span> <span class="md-nav__icon md-icon"></span> </label> <a href=./ class="md-nav__link md-nav__link--active"> <span class=md-ellipsis> Applications RAG - 2 </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-validator-functions class=md-nav__link> <span class=md-ellipsis> Defining Validator Functions </span> </a> </li> <li class=md-nav__item> <a href=#using-field class=md-nav__link> <span class=md-ellipsis> Using Field </span> </a> </li> <li class=md-nav__item> <a href=#providing-context class=md-nav__link> <span class=md-ellipsis> Providing Context </span> </a> </li> <li class=md-nav__item> <a href=#using-openai-moderation class=md-nav__link> <span class=md-ellipsis> Using OpenAI Moderation </span> </a> </li> <li class=md-nav__item> <a href=#general-validator class=md-nav__link> <span class=md-ellipsis> General Validator </span> </a> <nav class=md-nav aria-label="General Validator"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#avoiding-hallucination-with-citations class=md-nav__link> <span class=md-ellipsis> Avoiding hallucination with citations </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#reasking-with-validators class=md-nav__link> <span class=md-ellipsis> Reasking with validators </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../4-validation/ class=md-nav__link> <span class=md-ellipsis> Validation </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#defining-validator-functions class=md-nav__link> <span class=md-ellipsis> Defining Validator Functions </span> </a> </li> <li class=md-nav__item> <a href=#using-field class=md-nav__link> <span class=md-ellipsis> Using Field </span> </a> </li> <li class=md-nav__item> <a href=#providing-context class=md-nav__link> <span class=md-ellipsis> Providing Context </span> </a> </li> <li class=md-nav__item> <a href=#using-openai-moderation class=md-nav__link> <span class=md-ellipsis> Using OpenAI Moderation </span> </a> </li> <li class=md-nav__item> <a href=#general-validator class=md-nav__link> <span class=md-ellipsis> General Validator </span> </a> <nav class=md-nav aria-label="General Validator"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#avoiding-hallucination-with-citations class=md-nav__link> <span class=md-ellipsis> Avoiding hallucination with citations </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#reasking-with-validators class=md-nav__link> <span class=md-ellipsis> Reasking with validators </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/tutorials/3-1-validation-rag.ipynb title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/tutorials/3-1-validation-rag.ipynb title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <script>
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class=md-nav__item> <a href=#reasking-with-validators class=md-nav__link> <span class=md-ellipsis> Reasking with validators </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=sidebar data-md-type=toc> <div class=md-sidebar__scrollwrap> <div class=md-sidebar__inner> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#setup-and-dependencies class=md-nav__link> <span class=md-ellipsis> Setup and Dependencies </span> </a> </li> <li class=md-nav__item> <a href=#software-20-rule-based-validators class=md-nav__link> <span class=md-ellipsis> Software 2.0: Rule-based validators </span> </a> <nav class=md-nav aria-label="Software 2.0: Rule-based validators"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#flagging-bad-keywords class=md-nav__link> <span class=md-ellipsis> Flagging bad keywords </span> </a> </li> <li class=md-nav__item> <a href=#flagging-using-openai-moderation class=md-nav__link> <span class=md-ellipsis> Flagging using OpenAI Moderation </span> </a> </li> <li class=md-nav__item> <a href=#filtering-very-long-messages class=md-nav__link> <span class=md-ellipsis> Filtering very long messages </span> </a> </li> <li class=md-nav__item> <a href=#avoiding-hallucination-with-citations class=md-nav__link> <span class=md-ellipsis> Avoiding hallucination with citations </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#software-30-probabilistic-validators class=md-nav__link> <span class=md-ellipsis> Software 3.0: Probabilistic validators </span> </a> <nav class=md-nav aria-label="Software 3.0: Probabilistic validators"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#keeping-an-agent-on-topic class=md-nav__link> <span class=md-ellipsis> Keeping an agent on topic </span> </a> </li> <li class=md-nav__item> <a href=#validating-agent-thinking-with-cot class=md-nav__link> <span class=md-ellipsis> Validating agent thinking with CoT </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#reasking-with-validators class=md-nav__link> <span class=md-ellipsis> Reasking with validators </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/tutorials/4-validation.ipynb title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a 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Patch the client </span> </a> </li> <li class=md-nav__item> <a href=#step-2-define-the-pydantic-model class=md-nav__link> <span class=md-ellipsis> Step 2: Define the Pydantic Model </span> </a> </li> <li class=md-nav__item> <a href=#step-3-extract class=md-nav__link> <span class=md-ellipsis> Step 3: Extract </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#understanding-validation class=md-nav__link> <span class=md-ellipsis> Understanding Validation </span> </a> </li> <li class=md-nav__item> <a href=#self-correcting-on-validation-error class=md-nav__link> <span class=md-ellipsis> Self Correcting on Validation Error </span> </a> </li> <li class=md-nav__item> <a href=#iterables-and-lists class=md-nav__link> <span class=md-ellipsis> Iterables and Lists </span> </a> </li> <li class=md-nav__item> <a href=#partial-extraction class=md-nav__link> <span class=md-ellipsis> Partial Extraction </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=../help/ 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<label class=md-nav__title for=__toc> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class=md-nav__list data-md-component=toc data-md-scrollfix> <li class=md-nav__item> <a href=#understanding-the-patch class=md-nav__link> <span class=md-ellipsis> Understanding the patch </span> </a> <nav class=md-nav aria-label="Understanding the patch"> <ul class=md-nav__list> <li class=md-nav__item> <a href=#step-1-patch-the-client class=md-nav__link> <span class=md-ellipsis> Step 1: Patch the client </span> </a> </li> <li class=md-nav__item> <a href=#step-2-define-the-pydantic-model class=md-nav__link> <span class=md-ellipsis> Step 2: Define the Pydantic Model </span> </a> </li> <li class=md-nav__item> <a href=#step-3-extract class=md-nav__link> <span class=md-ellipsis> Step 3: Extract </span> </a> </li> </ul> </nav> </li> <li class=md-nav__item> <a href=#understanding-validation class=md-nav__link> <span class=md-ellipsis> Understanding Validation </span> </a> </li> <li class=md-nav__item> <a href=#self-correcting-on-validation-error class=md-nav__link> <span class=md-ellipsis> Self Correcting on Validation Error </span> </a> </li> <li class=md-nav__item> <a href=#iterables-and-lists class=md-nav__link> <span class=md-ellipsis> Iterables and Lists </span> </a> </li> <li class=md-nav__item> <a href=#partial-extraction class=md-nav__link> <span class=md-ellipsis> Partial Extraction </span> </a> </li> </ul> </nav> </div> </div> </div> <div class=md-content data-md-component=content> <article class="md-content__inner md-typeset"> <a href=https://github.com/jxnl/instructor/edit/main/docs/why.md title="Edit this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25Z"/></svg> </a> <a href=https://github.com/jxnl/instructor/raw/main/docs/why.md title="View source of this page" class="md-content__button md-icon"> <svg xmlns=http://www.w3.org/2000/svg viewbox="0 0 24 24"><path d="M12 9a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0 8a5 5 0 0 1-5-5 5 5 0 0 1 5-5 5 5 0 0 1 5 5 5 5 0 0 1-5 5m0-12.5C7 4.5 2.73 7.61 1 12c1.73 4.39 6 7.5 11 7.5s9.27-3.11 11-7.5c-1.73-4.39-6-7.5-11-7.5Z"/></svg> </a> <h1 id=why-use-instructor>Why use Instructor?<a class=headerlink href=#why-use-instructor title="Permanent link">&para;</a></h1> <details class=question> <summary>Why use Pydantic?</summary> <p>Its hard to answer the question of why use Instructor without first answering <a href=https://docs.pydantic.dev/latest/why/ >why use Pydantic.</a>:</p> <ul> <li> <p><strong>Powered by type hints</strong> &mdash; with Pydantic, schema validation and serialization are controlled by type annotations; less to learn, less code to write, and integration with your IDE and static analysis tools.</p> </li> <li> <p><strong>Speed</strong> &mdash; Pydantic's core validation logic is written in Rust. As a result, Pydantic is among the fastest data validation libraries for Python.</p> </li> <li> <p><strong>JSON Schema</strong> &mdash; Pydantic models can emit JSON Schema, allowing for easy integration with other tools. [Learn more…]</p> </li> <li> <p><strong>Customisation</strong> &mdash; Pydantic allows custom validators and serializers to alter how data is processed in many powerful ways.</p> </li> <li> <p><strong>Ecosystem</strong> &mdash; around 8,000 packages on PyPI use Pydantic, including massively popular libraries like <em>FastAPI</em>, <em>huggingface</em>, <em>Django Ninja</em>, <em>SQLModel</em>, &amp; <em>LangChain</em>.</p> </li> <li> <p><strong>Battle tested</strong> &mdash; Pydantic is downloaded over 70M times/month and is used by all FAANG companies and 20 of the 25 largest companies on NASDAQ. If you're trying to do something with Pydantic, someone else has probably already done it.</p> </li> </ul> </details> <p>Our <code>instructor.patch</code> for the <code>OpenAI</code> class introduces three key enhancements:</p> <ul> <li><strong>Response Mode:</strong> Specify a Pydantic model to streamline data extraction.</li> <li><strong>Max Retries:</strong> Set your desired number of retry attempts for requests.</li> <li><strong>Validation Context:</strong> Provide a context object for enhanced validator access. A Glimpse into Instructor's Capabilities</li> </ul> <div class="admonition note"> <p class=admonition-title>Using Validators</p> <p>Learn more about validators checkout our blog post <a href=https://jxnl.github.io/instructor/blog/2023/10/23/good-llm-validation-is-just-good-validation/ >Good llm validation is just good validation</a></p> </div> <p>With Instructor, your code becomes more efficient and readable. Here’s a quick peek:</p> <h2 id=understanding-the-patch>Understanding the <code>patch</code><a class=headerlink href=#understanding-the-patch title="Permanent link">&para;</a></h2> <p>Lets go over the <code>patch</code> function. And see how we can leverage it to make use of instructor</p> <h3 id=step-1-patch-the-client>Step 1: Patch the client<a class=headerlink href=#step-1-patch-the-client title="Permanent link">&para;</a></h3> <p>First, import the required libraries and apply the <code>patch</code> function to the OpenAI module. This exposes new functionality with the <code>response_model</code> parameter.</p> <div class="language-python highlight"><pre><span></span><code><span id=__span-0-1><a id=__codelineno-0-1 name=__codelineno-0-1 href=#__codelineno-0-1></a><span class=kn>import</span> <span class=nn>instructor</span>