ddtrace 2.12.0

on Python PyPI

New Features

• openai: Introduces the model tag for openai integration metrics for consistency with the OpenAI SaaS Integration. It has the same value as openai.request.model.
• database_clients: Adds server.address tag to all <database>.query spans (ex: postgres.query). This tag stores the name of the database host.
• LLM Observability: Flushes the buffer of spans to be sent when the payload size would otherwise exceed the payload size limit for the event platform.
• LLM Observability: Span events that exceed the event platform event size limit (1 MB) will now have their inputs and outputs dropped.
• tracing: Adds ddtrace.trace.Context to the public api. This class can now be used to propagate context across execution boundaries (ex: threads).

Deprecation Notes

• config: DD_TRACE_128_BIT_TRACEID_LOGGING_ENABLED is deprecated. Trace id logging format is now configured automatically.
• tracing: Deprecates all modules in the ddtrace.contrib.[integration_name] package. Use attributes exposed in ddtrace.contrib.[integration_name].__all__ instead. The following are impacted:
  • aioredis, algoliasearch. anthropic, aredis, asgi, asyncpg, aws_lambda, boto, botocore, bottle, cassandra, celery, cherrypy, consul, coverage, django, dogpile_cache, dramatiq, elasticsearch, falcon, fastapi, flask, flask_cache, futures, gevent, graphql, grpc, httplib, httpx, jinja2, kafka, kombu, langchain, logbook, logging, loguru, mako, mariadb, molten, mongoengine, mysql, mysqldb, openai, psycopg, pylibmc, pymemcache, pymongo, pymysql, pynamodb, pyodbc, pyramid, redis, rediscluster, requests, sanic, snowflake, sqlalchemy, sqlite3, starlette, structlog, subprocess, tornado, urllib, urllib3, vertica, webbrowser, wsgi, yaaredis

Bug Fixes

• CI Visibility: Resolves an issue where exceptions other than timeouts and connection errors raised while fetching the list of skippable tests for ITR were not being handled correctly and caused the tracer to crash.

• CI Visibility: Fixes a bug where .git was incorrectly being stripped from repository URLs when extracting service names, resulting in g, i, or t being removed (eg: test-environment.git incorrectly becoming test-environmen)

• LLM Observability: Resolves an issue where custom trace filters were being overwritten in forked processes.

• tracing: Fixes a side-effect issue with module import callbacks that could cause a runtime exception.

• LLM Observability: Resolves an issue where session_id was being defaulted to trace_id, which was causing unexpected UI behavior.

• LLM Observability: Resolves an issue where LLM Observability spans were not being submitted in forked processes, such as when using celery or gunicorn workers. The LLM Observability writer thread now automatically restarts when a forked process is detected.

• tracing: Fixes an issue with some module imports with native specs that don't support attribute assignments, resulting in a TypeError exception at runtime.

• tracing: Resolves an issue where ddtrace package files were published with incorrect file attributes.

• tracing: Resolves an issue where django db instrumentation could fail.

• openai: Fixes a bug where asyncio.TimeoutErrors were not being propagated correctly from canceled OpenAI API requests.

• aiobotocore: Fixes an issue where the _make_api_call arguments were not captured correctly when using keyword arguments.

• tracing(django): Resolves a bug where ddtrace was exhausting a Django stream response before returning it to user.

• LLM Observability: Fixes an issue in the OpenAI integration where integration metrics would still be submitted even if LLMObs.enable(agentless_enabled=True) was set.

• internal: Fixes the Already mutably borrowed error when rate limiter is accessed across threads.

• internal: Fixes the Already mutably borrowed error by reverting back to pure-python rate limiter.

• Code Security: Adds null pointer checks when creating new objects ids.

• profiling: Fixes an issue where the profiler could erroneously try to load protobuf in autoinjected environments, where it is not available.

• crashtracking: Fixes an issue where crashtracking environment variables for Python were inconsistent with those used by other runtimes.

• profiling: Fixes endpoint profiling for stack v2 when DD_PROFILING_STACK_V2_ENABLED is set.

• profiling: Turns on the new native exporter when DD_PROFILING_TIMELINE_ENABLED=True is set.