DataDog/dd-trace-py v3.9.0

3.9.0

on GitHub

New Features

• DSM
  • Add support for context extraction for SQS -> Lambda messsage events.
• Add support for Python 3.13 on Windows.
• azure_functions
  • Add distributed tracing support for http triggers.
• Code Security (IAST)
  • Unvalidated Redirect detection for Django, Flask and FastAPI applications, which will be displayed on your DataDog Vulnerability Explorer dashboard. See the Application Vulnerability Management documentation for more information about this feature.
• CI Visibility
  • This introduces report links to the pytest plugin. At the end of a test session, ddtrace shows links to the Datadog Test Optimization pages with the test results for the current commit and for the current CI job (provided that the CI environment variables with the current job and pipeline ID are available).
• AAP
  • This introduces the capability for the waf to decide of the sampling priority of the trace in case of a security event.
• litellm
  • Adds APM and LLM Observability tracing support for LiteLLM's synchronous and asynchronous completion and text_completion router methods.
• LLM Observability
  • add processor capability to process span inputs and outputs. See usage documentation [here](https://docs.datadoghq.com/llm_observability/setup/sdk/python/#span-processing).
  • Propagate the ml_app of the most recent LLM Observability span (or the global ml_app) when injecting distributed headers. In distributed services, uses the ml_app from the distributed trace headers.
  • This introduces tracing for system prompts in the OpenAI Agents SDK.
  • This introduces tracing for the content of tool call outputs passed to LLM spans for the OpenAI Agents integration.
• dynamic instrumentation
  • Add support for excluding identifiers from redaction with DD_DYNAMIC_INSTRUMENTATION_REDACTION_EXCLUDED_IDENTIFIERS

Upgrade Notes

• AAP
  • Upgrade the WAF value regex obfuscator.

Deprecation Notes

• tracing
  • Deprecates support for DD_TRACE_GLOBAL_TAGS in favor of DD_TAGS.
  • Removes support for APM Legacy App Analytics. There are still some remnants of App Analytics in the codebase, but they are not functional and output a deprecation warning.
• Deprecates starting the serverless mini agent from the tracer. Use the datadog-serverless-compat package instead.

Bug Fixes

• LLM Observability

  • This fix resolves an issue where error type was being set to the full error message for OpenAI Agents SDK errors, resulting in long error types.
  • This fix resolves an issue where LLM interactions were not being traced when a non-default base URL was provided for the Anthropic, Bedrock, LangChain, Open AI, and Azure Open AI integrations.
  • This fix resolves an issue where parsing token usage from langchain AI message types causes an attribute error.
  • Fixes an issue where using astream_events on a compiled graph would raise a KeyError.

• CI Visibility

  • This fix resolves an issue where the DD_CIVISIBILITY_ITR_ENABLED was not honored properly.
  • This fix resolves an issue where running from a GitHub action triggered on a tag push would cause the branch name to be null, causing errors when fetching Test Optimization settings from the backend.

• crewai

  • This fix resolves an issue where using crewai>=1.120.0 with ddtrace caused a TypeError to be thrown due to empty task contexts.

• tracing

  • Fixes a bug in distributed tracing where pickling ddtrace.trace.Context fails in coroutines. This regression was introduced in v3.7.0.
  • fix issue where Trace Agent sampling rates were not being applied when using a TraceFilter and tracer.configure.
  • Resolves the "sample_before_fork was unregistered without first being registered" warning by removing tracer at_exit hooks from the product protocol, ensuring hooks are registered and unregistered exactly once.
  • Fixes an issue where truncation of span attributes longer than 25000 characters would not consistently count the size of UTF-8 multibyte characters, leading to a unicode string is too large error.

• openai

  • Resolves an issue where streamed completions and chat completions immediately returning None would result in unfinished spans.

• dynamic instrumentation

  • fixes an issue where only module scopes were being uploaded, preventing method probes from being created.

• langgraph

  • Fixes an issue where using astream_events on a compiled graph would cause missing spans.