pypi ddtrace 2.16.0

5 hours ago

New Features

  • LLM Observability

    • When starting LLM and embedding spans, the model_name argument is now optional and will default to custom. This applies to both inline methods (e.g. LLMObs.llm()) and function decorators (e.g. @llm).
    • Introduces the ability to add metadata for evaluation metrics via the submit_evaluation method. For more information, see submitting evaluations with the SDK.
  • Tracing

    • Introduces support for Baggage as defined by the OpenTelemetry specification.
    • botocore: Adds span pointers for successful DynamoDB BatchWriteItem spans. Table Primary Keys will need to be provided with the ddtrace.config.botocore.dynamodb_primary_key_names_for_tables option or the DD_BOTOCORE_DYNAMODB_TABLE_PRIMARY_KEYS environment variable to correctly handle the PutRequest items.
    • botocore: Adds span pointers for successful DynamoDB TransactWriteItems spans. Table Primary Keys will need to be provided with the ddtrace.config.botocore.dynamodb_primary_key_names_for_tables option or the DD_BOTOCORE_DYNAMODB_TABLE_PRIMARY_KEYS environment variable to correctly handle the Put items.
    • botocore: Adds ddtrace.config.botocore.add_span_pointers option or the DD_BOTOCORE_ADD_SPAN_POINTERS environment variable to control adding span pointers to some successful AWS API requests. This option is enabled by default.

Bug Fixes

  • CI Visibility

    • Fixes a bug where CODEOWNERS would incorrectly fail to discard line-level trailing comments (eg: @code/owner # my comment would result in codeowners being parsed as @code/owner, #, my, and comment)
    • Fixes unnecessary logging of an exception that would appear when trying to upload git metadata in an environment without functioning git (eg: missing git binary or .git directory)
  • Code Security

    • Resolves an issue where importing the google.cloud.storage.batch module would fail raising an ImportError
  • Dynamic Instrumentation

    • Fixes an issue that prevented dynamic span tags probes from adding the requested tags to the requested span.
  • LLM Observability

    • Resolves two issues with annotation contexts:
      • annotations registered via annotation contexts were being applied globally. Annotations are now only applied to the current trace context and do not pollute to other threads & processes.
      • annotations from nested annotation contexts were applied in a non-deterministic order. Annotations are now applied in the order they were registered.
    • Resolves an issue where input and output values equal to zero were not being annotated on workflow, task, agent and tool spans when using LLMObs.annotate.
    • Resolves errors where the disabled setting was being ignored when forking.
  • Profiling

    • Fixes a data race where span information associated with a thread was read and updated concurrently, leading to segfaults.
    • 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.
    • 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.
    • Resolves an issue where asyncio task names are not captured by stack v2, when DD_PROFILING_STACK_V2_ENABLED is set.
    • Resolves an issue where endpoint profiling for stack v2 throws TypeError exception when it is given a Span with None span_type.
  • Tracing

    • Resolves the issue where tracer flares would not be generated if unexpected types were received in the AGENT_CONFIG remote configuration product.
    • elasticsearch: Resolves an issue where span tags were not fully populated on "sampled" spans, causing metric dimensions to be incorrect when spans were prematurely marked as sampled, including resource_name.

Other Changes

  • LLM Observability
    • Updates the merging behavior for tags when LLMObs.annotate is called multiple times on the same span so that the latest value for a tag key overrides the previous value.

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