ddtrace 2.16.0rc1

on Python PyPI

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.
  • 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.

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)

• 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

  • 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.

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.