chore: update changelog for version 2.12.1, 2.12.2, 2.14.0, and 2.14.1 (

#10839)

Combining all of these release notes because individually they create
merge conflicts with one another

- [x] update changelog for version 2.12.1, 2.12.2, 2.14.0, and 2.14.1

---------

Co-authored-by: Yun Kim <[email protected]>

CHANGELOG.md

@@ -4,6 +4,74 @@ Changelogs for versions not listed here can be found at https://github.com/DataD
 
 ---
 
+## 2.14.1
+
+
+### New Features
+
+  - Code Security (IAST): Always report a telemetry log error when an IAST propagation error raises, regardless of whether the `_DD_IAST_DEBUG` environment variable is enabled or not.
+
+### Bug Fixes
+
+  - tracing: Removes a reference cycle that caused unnecessary garbage collection for top-level spans.
+  - Code Security: fix potential memory leak on IAST exception handling.
+  - profiling: Fixes endpoint profiling when using libdatadog exporter, either with `DD_PROFILING_EXPORT_LIBDD_ENABLED` or `DD_PROFILING_TIMELINE_ENABLED`.
+
+
+---
+
+## 2.14.0
+
+### Deprecation Notes
+- Tracing
+  - Deprecates the `DD_TRACE_SPAN_AGGREGATOR_RLOCK` environment variable. It will be removed in v3.0.0.
+  - Deprecates support for [APM Legacy App Analytics](https://docs.datadoghq.com/tracing/legacy_app_analytics/). This feature and its associated configuration options are deprecated and will be removed in v3.0.0.
+  - `DD_HTTP_CLIENT_TAG_QUERY_STRING` configuration is deprecated and will be removed in v3.0.0. Use `DD_TRACE_HTTP_CLIENT_TAG_QUERY_STRING` instead.
+
+### New Features
+- DSM
+  - Introduces new tracing and datastreams monitoring functionality for Avro Schemas.
+  - Introduces new tracing and datastreams monitoring functionality for Google Protobuf.
+
+- LLM Observability
+  - Adds support to automatically submit Gemini Python SDK calls to LLM Observability.
+  - The OpenAI integration now captures tool calls returned from streamed responses when making calls to the chat completions endpoint.
+  - The LangChain integration now submits tool spans to LLM Observability.
+  - LLM Observability spans generated by the OpenAI integration now have updated span name and `model_provider` values. Span names are now prefixed with the OpenAI client name (possible values: `OpenAI/AzureOpenAI`) instead of the default `openai` prefix to better differentiate whether the request was made to Azure OpenAI or OpenAI. The `model_provider` field also now corresponds to `openai` or `azure_openai` based on the OpenAI client.
+  - The OpenAI integration now ensures accurate token data from streamed OpenAI completions and chat completions, if provided in the streamed response. To ensure accurate token data in the traced streamed operation, ensure that the `stream_options={"include_usage": True}` option is set on the completion or chat completion call.
+  - Introduces the `LLMObs.annotation_context()` context manager method, which allows modifying the tags of integration generated LLM Observability spans created while the context manager is active.
+  - Introduces prompt template annotation, which can be passed as an argument to `LLMObs.annotate(prompt={...})` for LLM span kinds. For more information on prompt annotations, see [the docs](https://docs.datadoghq.com/llm_observability/setup/sdk/#annotating-a-span).
+  - google_generativeai: Introduces tracing support for Google Gemini API `generate_content` calls.  
+  See [the docs](https://ddtrace.readthedocs.io/en/stable/integrations.html#google_generativeai) for more information.
+  - openai: The OpenAI integration now includes a new `openai.request.client` tag with the possible values `OpenAI/AzureOpenAI` to help differentiate whether the request was made to Azure OpenAI or OpenAI.
+  - openai: The OpenAI integration now captures token data from streamed completions and chat completions, if provided in the streamed response. To ensure accurate token data in the traced streamed operation, ensure that the `stream_options={"include_usage": True}` option is set on the completion or chat completion call.
+
+- Profiling
+  - Captures `asyncio.Lock` usages with `with` context managers.
+
+- Other
+  - botocore: Adds span pointers to some successful AWS botocore spans. Currently only supports S3 PutObject.
+  - pymongo: Adds support for pymongo>=4.9.0
+
+
+### Bug Fixes
+- Code Security (ASM)
+  - Fixes a bug in the IAST patching process where `AttributeError` exceptions were being caught, interfering with the proper application cycle.
+  - Resolves an issue where exploit prevention was not properly blocking requests with custom redirection actions.
+
+- LLM Observability
+  - Fixes an issue where the OpenAI and LangChain integrations would still submit integration metrics even in agentless mode. Integration metrics are now disabled if using agentless mode via `LLMObs.enable(agentless_enabled=True)` or setting `DD_LLMOBS_AGENTLESS_ENABLED=1`.
+  - Resolves an issue in the `LLMObs.annotate()` method where non-JSON serializable arguments were discarded entirely. Now, the `LLMObs.annotate()` method safely handles non-JSON-serializable arguments by defaulting to a placeholder text.
+  - Resolves an issue where attempting to tag non-JSON serializable request/response parameters resulted in a `TypeError` in the OpenAI, LangChain, Bedrock, and Anthropic integrations.
+  - anthropic: Resolves an issue where attempting to tag non-JSON serializable request arguments caused a `TypeError`. The Anthropic integration now safely tags non-JSON serializable arguments with a default placeholder text.
+  - langchain: Resolves an issue where attempting to tag non-JSON serializable tool config arguments resulted in a `TypeError`. The LangChain integration now safely tags non-JSON serializable arguments with a default placeholder text.
+
+- Other
+  - SSI: This fix ensures injection denylist is included in published OCI package.
+  - postgres: Fixes circular imports raised when psycopg automatic instrumentation is enabled.
+  - pymongo: Ensures instances of the `pymongo.MongoClient` can be patch after pymongo is imported.
+
+
 ## 2.13.0
 
 
@@ -101,6 +169,25 @@ Changelogs for versions not listed here can be found at https://github.com/DataD
 - LLM Observability: Resolves an issue where `session_id` was being defaulted to `trace_id` which was causing unexpected UI behavior.
 
 
+---
+
+## 2.12.2
+
+### Bug Fixes
+
+- library injection: Resolves an issue where the version of `attrs` installed by default on some Ubuntu installations was treated as incompatible with library injection
+- Code Security: This fixes a bug in the IAST patching process where `AttributeError` exceptions were being caught, interfering with the proper application cycle.
+
+
+---
+
+## 2.12.1
+
+### Bug Fixes
+
+- SSI: This fix ensures injection denylist is included in published OCI package.
+
+
 ---
 
 ## 2.12.0