From 7d3389b6f15c2035634d06fe429f3fc961ad1fbf Mon Sep 17 00:00:00 2001 From: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Date: Tue, 17 Sep 2024 13:05:37 -0700 Subject: [PATCH] docs: fix links (#1748) * fix links * branching link * readme compatibility --- README.md | 2 +- docs/docs/how-tos/branching.ipynb | 4 ++-- docs/docs/how-tos/streaming-content.ipynb | 2 +- libs/langgraph/README.md | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index c8c49f688..a375771f0 100644 --- a/README.md +++ b/README.md @@ -224,7 +224,7 @@ final_state["messages"][-1].content * [Tutorials](https://langchain-ai.github.io/langgraph/tutorials/): Learn to build with LangGraph through guided examples. * [How-to Guides](https://langchain-ai.github.io/langgraph/how-tos/): Accomplish specific things within LangGraph, from streaming, to adding memory & persistence, to common design patterns (branching, subgraphs, etc.), these are the place to go if you want to copy and run a specific code snippet. -* [Conceptual Guides](https://langchain-ai.github.io/langgraph/concepts/): In-depth explanations of the key concepts and principles behind LangGraph, such as nodes, edges, state and more. +* [Conceptual Guides](https://langchain-ai.github.io/langgraph/concepts/high_level/): In-depth explanations of the key concepts and principles behind LangGraph, such as nodes, edges, state and more. * [API Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Review important classes and methods, simple examples of how to use the graph and checkpointing APIs, higher-level prebuilt components and more. * [Cloud (beta)](https://langchain-ai.github.io/langgraph/cloud/): With one click, deploy LangGraph applications to LangGraph Cloud. diff --git a/docs/docs/how-tos/branching.ipynb b/docs/docs/how-tos/branching.ipynb index 422f47ef6..4609052fa 100644 --- a/docs/docs/how-tos/branching.ipynb +++ b/docs/docs/how-tos/branching.ipynb @@ -174,7 +174,7 @@ "metadata": {}, "source": [ "
Exception handling?\n", - "

LangGraph executes nodes within \"supersteps\", meaning that while parallel branches are executed in parallel, the entire superstep is transactional. If any of these branches raises an exception, none of the updates are applied to the state (the entire superstep errors).

\n", + "

LangGraph executes nodes within \"supersteps\", meaning that while parallel branches are executed in parallel, the entire superstep is transactional. If any of these branches raises an exception, none of the updates are applied to the state (the entire superstep errors).

\n", " If you have error-prone (perhaps want to handle flakey API calls), LangGraph provides two ways to address this:
\n", "

    \n", "
  1. You can write regular python code within your node to catch and handle exceptions.
    2. \n", @@ -642,7 +642,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/docs/docs/how-tos/streaming-content.ipynb b/docs/docs/how-tos/streaming-content.ipynb index cb7422eda..0dae42642 100644 --- a/docs/docs/how-tos/streaming-content.ipynb +++ b/docs/docs/how-tos/streaming-content.ipynb @@ -7,7 +7,7 @@ "source": [ "# How to stream arbitrary nested content\n", "\n", - "The most common use case for streaming from inside a node is to stream LLM tokens, but you may have other long-running streaming functions you wish to render for the user. While individual nodes in LangGraph cannot return generators (since they are executed to completion for each [superstep](https://langchain-ai.github.io/langgraph/concepts/#core-design)), we can still stream arbitrary custom functions from within a node using a similar tact and calling `astream_events` on the graph.\n", + "The most common use case for streaming from inside a node is to stream LLM tokens, but you may have other long-running streaming functions you wish to render for the user. While individual nodes in LangGraph cannot return generators (since they are executed to completion for each [superstep](https://langchain-ai.github.io/langgraph/concepts/low_level)), we can still stream arbitrary custom functions from within a node using a similar tact and calling `astream_events` on the graph.\n", "\n", "We do so using a [RunnableGenerator](https://api.python.langchain.com/en/latest/runnables/langchain_core.runnables.base.RunnableGenerator.html#langchain-core-runnables-base-runnablegenerator) (which your function will automatically behave as if wrapped as a [RunnableLambda](https://api.python.langchain.com/en/latest/runnables/langchain_core.runnables.base.RunnableLambda.html#langchain_core.runnables.base.RunnableLambda)).\n", "\n", diff --git a/libs/langgraph/README.md b/libs/langgraph/README.md index c8c49f688..a375771f0 100644 --- a/libs/langgraph/README.md +++ b/libs/langgraph/README.md @@ -224,7 +224,7 @@ final_state["messages"][-1].content * [Tutorials](https://langchain-ai.github.io/langgraph/tutorials/): Learn to build with LangGraph through guided examples. * [How-to Guides](https://langchain-ai.github.io/langgraph/how-tos/): Accomplish specific things within LangGraph, from streaming, to adding memory & persistence, to common design patterns (branching, subgraphs, etc.), these are the place to go if you want to copy and run a specific code snippet. -* [Conceptual Guides](https://langchain-ai.github.io/langgraph/concepts/): In-depth explanations of the key concepts and principles behind LangGraph, such as nodes, edges, state and more. +* [Conceptual Guides](https://langchain-ai.github.io/langgraph/concepts/high_level/): In-depth explanations of the key concepts and principles behind LangGraph, such as nodes, edges, state and more. * [API Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Review important classes and methods, simple examples of how to use the graph and checkpointing APIs, higher-level prebuilt components and more. * [Cloud (beta)](https://langchain-ai.github.io/langgraph/cloud/): With one click, deploy LangGraph applications to LangGraph Cloud.