github DataDog/dd-trace-py v2.17.0rc1
2.17.0rc1

pre-release19 hours ago

New Features

  • ASM

    • Adds support for session fingerprints.
  • LLM Observability

    • When not using a provider integration (OpenAI, Anthropic, or Bedrock) with the LangChain integration, token metrics will be appended to the LLM Observability llm span.
    • When langchain's chat_model.with_structured_output(..., method="json_mode") is used, or response_format={"type": "json_object"} is passed into a langchain chat model invocation, the LLM Observability span will be an llm span instead of a workflow span.
  • Single Step Instrumentation

    • Adds requirements.json to SSI artifact for bailing out on unsupported systems.
  • Tracing

    • Adds support for expanding AWS request/response payloads into flattened span tags.
    • Updates the service naming algorithm to infer the base service name when DD_SERVICE is not set, replacing instances of unnamed-python-service. Ensures that a more meaningful service name is used whenever possible, enhancing clarity in service identification.

Bug Fixes

  • ASM/Threats

    • The new user events policy is preventing users PII to be added by default as span tags. To allow customers using the Django auto instrumentation to still have those information, new environment variables have been added. In particular DD_DJANGO_INCLUDE_EMAIL (false by default), will tag user events with user email as before.
  • Code Security/IAST

    • Adds googlecloudsdk and google auth to the Code Security deny list.
    • Resolves an issue where importing the google.cloud.storage.batch module would fail raising an ImportError.
  • Crashtracking

    • Fixes an issue where the use of the crashtracking component could result in zombie processes.
  • Lib-Injection

    • Adds more commands to the auto-injection denylist.
    • Ensures we do not import the user installed ddtrace if it is present.
    • Fixes injection guardrail check when sys.argv is not available.
  • LLM Observability

    • Resolves an issue where annotating spans with non-ASCII language input/output values resulted in encoded unicode being submitted.
  • Profiling

    • Fixes a data race where span information associated with a thread was read and updated concurrently, leading to segfaults
    • Fixes an issue where cpu-time was not profiled for services using gunicorn, when DD_PROFILING_STACK_V2_ENABLED was set.
    • Fixes an issue where enabling native exporter via DD_PROFILING_EXPORT_LIBDD_ENABLED, DD_PROFILING_TIMELINE_ENABLED or DD_PROFILING_STACK_V2_ENABLED turned off live heap profiling.
    • The lock profiler would log a warning if it couldn't determine a name for a lock, and it would try determining a name multiple times for the same lock. This lead to excessive log spam. Downgrade this to a debug log and only try to determine the name once.
    • Fixes an issue where the profiler was allocating too much memory from ensure_binary_or_empty() function, on Python versions before 3.12, with DD_PROFILING_EXPORT_LIBDD_ENABLED or DD_PROFILING_TIMELINE_ENABLED.
    • Fixes an issue where the sample pool could deadlock after fork() by clearing it in the child process.
    • When a Python thread finishes, this change frees memory used for mapping its thread id to Span. The mapping is populated and used when DD_PROFILING_ENDPOINT_COLLECTION_ENABLED and DD_PROFILING_STACK_V2_ENABLED were set to enable grouping of profiles for endpoints.
  • Tracing

    • pymongo: Adds type checking to solve an issue where NoneType instead of expected Pin object would throw an error in TracedTopology method.

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