ddtrace 2.13.0rc1

on Python PyPI

Deprecation Notes

• tracing: All public patch modules are deprecated. The non-deprecated methods are included in the __all__ attribute.
• yaaredis: The yaaredis integration is deprecated and will be removed in a future version. As an alternative to the yaaredis integration, the redis integration should be used.
• tracing: Deprecates the priority_sampling argument in ddtrace.tracer.Tracer.configure(...).

New Features

• Datastreams Monitoring (DSM): Adds support for schema tracking.
• debugging: Exception Replay will capture any exceptions that are manually attached to a span with a call to set_exc_info.
• LLM Observability: The LangChain integration now submits vectorstore similarity_search spans to LLM Observability as retrieval spans.
• langchain : Adds support for tracing tool invocations.
• LLM Observability: Adds support for capturing tool calls returned from LangChain chat completions.
• LLM Observability: Introduces the ability to set ml_app and timestamp_ms fields in LLMObs.submit_evaluation.
• openai: Introduces model tag for openai integration metrics for consistency with the OpenAI SaaS Integration. It has the same value as openai.request.model.

Bug Fixes

• CI Visibility: Resolves an issue where exceptions other than timeouts and connection errors raised while fetching the list of skippable tests for ITR were not being handled correctly and caused the tracer to crash.

• CI Visibility: Fixes a bug where .git was incorrectly being stripped from repository URLs when extracting service names, resulting in g, i, or t being removed (eg: test-environment.git incorrectly becoming test-environmen)

• botocore: Resolves a regression where trace context was not being injected into the input of Stepfunction start_execution commands. This re-enables distributed tracing when a Python service invokes a properly instrumented Step Function.

• LLM Observability: Resolves an issue where custom trace filters were being overwritten in forked processes.

• LLM Observability: Resolves an issue where LLM Observability spans were not being submitted in forked processes, such as when using celery or gunicorn workers. The LLM Observability writer thread now automatically restarts when a forked process is detected.

• tracing: Fix for a side-effect issue with module import callbacks that could cause a runtime exception.

• tracing: Fixes an issue with some module imports with native specs that don't support attribute assignments, resulting in a TypeError exception at runtime.

• tracing: Improves the accuracy of X-Datadog-Trace-Count payload header.

• tracing: Resolves an issue where ddtrace package files were published with incorrect file attributes.

• tracing: Resolves an issue where django db instrumentation could fail.

• LLM Observability: Resolves an issue where session_id was being defaulted to trace_id, which was causing unexpected UI behavior.

• openai: Fixes a bug where asyncio.TimeoutErrors were not being propagated correctly from canceled OpenAI API requests.

• profiling: Propagates tags in DD_PROFILING_TAGS and DD_TAGS to the libdatadog exporter, new exporter codepath which is enabled when either one of the following is set, DD_PROFILING_STACK_V2_ENABLED, DD_PROFILING_EXPORT_LIBDD_ENABLED, or DD_PROFILING_TIMELINE_ENABLED or dd-trace-py is running in an injected environment.

• Security: Fix a memory leak on the native slice aspect.

Other Changes

• tracing: Removes the DD_PRIORITY_SAMPLING configuration option. This option is not used in any ddtrace>=2.0 releases.