DataDog/dd-trace-py v4.9.0rc2

4.9.0rc2

on GitHub

Estimated end-of-life date, accurate to within three months: 10-2027
See the support level definitions for more information.

New Features

• LLM Observability: Adds an optional cost_tags argument to LLMObs.annotate() and LLMObs.annotation_context(). Pass a list of tag keys (already set via tags or annotated previously on the same span) to have them attached to the cost and token metrics generated from LLM and embedding spans, which can help breaking down spend by team, project, org, or any custom dimension.

• profiling: Add DD_PROFILING_LOCK_EXCLUDE_MODULES config to skip lock profiling for framework-internal locks. Excluded locks remain native with zero profiling overhead. Set it to a comma-separated list of module prefixes (e.g., django.db,sqlalchemy.pool,urllib3).

Bug Fixes

• azure_cosmos: This change removes the http.status_code tags from Azure CosmosDB spans and replaces them with the use of the db.response.status_code metric. For customers using ddtrace v4.8.0 and relying on the http.status_code tag of cosmosdb.query spans, this is a breaking change.

• profiling: Fixes an issue where the lock profiler silently stopped capturing lock events when running under ddtrace-run with gevent installed.

• Fixed a startup deadlock when using snowflake-connector-python >= 4.4.0 with DD_TRACE_SNOWFLAKE_ENABLED=true.