Releases: DataDog/dd-trace-py
2.11.5
Bug Fixes
- SSI: This fix ensures injection denylist is included in published OCI package.
2.13.0rc1
Deprecation Notes
- tracing: All public patch modules are deprecated. The non-deprecated methods are included in the
__all__
attribute. - yaaredis: The yaaredis integration is deprecated and will be removed in a future version. As an alternative to the yaaredis integration, the redis integration should be used.
- tracing: Deprecates the
priority_sampling
argument inddtrace.tracer.Tracer.configure(...)
.
New Features
- Datastreams Monitoring (DSM): Adds support for schema tracking.
- debugging: Exception Replay will capture any exceptions that are manually attached to a span with a call to
set_exc_info
. - LLM Observability: The LangChain integration now submits vectorstore
similarity_search
spans to LLM Observability as retrieval spans. - langchain : Adds support for tracing tool invocations.
- LLM Observability: Adds support for capturing tool calls returned from LangChain chat completions.
- LLM Observability: Introduces the ability to set
ml_app
andtimestamp_ms
fields inLLMObs.submit_evaluation
. - openai: Introduces
model
tag for openai integration metrics for consistency with the OpenAI SaaS Integration. It has the same value asopenai.request.model
.
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 ing
,i
, ort
being removed (eg:test-environment.git
incorrectly becomingtest-environmen
) -
botocore: Resolves a regression where trace context was not being injected into the input of Stepfunction
start_execution
commands. This re-enables distributed tracing when a Python service invokes a properly instrumented Step Function. -
LLM Observability: Resolves an issue where custom trace filters were being overwritten in forked processes.
-
LLM Observability: Resolves an issue where LLM Observability spans were not being submitted in forked processes, such as when using
celery
orgunicorn
workers. The LLM Observability writer thread now automatically restarts when a forked process is detected. -
tracing: Fix for a side-effect issue with module import callbacks that could cause a runtime exception.
-
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: Improves the accuracy of
X-Datadog-Trace-Count
payload header. -
tracing: Resolves an issue where
ddtrace
package files were published with incorrect file attributes. -
tracing: Resolves an issue where django db instrumentation could fail.
-
LLM Observability: Resolves an issue where
session_id
was being defaulted totrace_id
, which was causing unexpected UI behavior. -
openai: Fixes a bug where
asyncio.TimeoutError
s were not being propagated correctly from canceled OpenAI API requests. -
profiling: Propagates tags in
DD_PROFILING_TAGS
andDD_TAGS
to the libdatadog exporter, new exporter codepath which is enabled when either one of the following is set,DD_PROFILING_STACK_V2_ENABLED
,DD_PROFILING_EXPORT_LIBDD_ENABLED
, orDD_PROFILING_TIMELINE_ENABLED
or dd-trace-py is running in an injected environment. -
Security: Fix a memory leak on the native slice aspect.
Other Changes
- tracing: Removes the
DD_PRIORITY_SAMPLING
configuration option. This option is not used in anyddtrace>=2.0
releases.
2.12.0
New Features
- openai: Introduces the
model
tag for openai integration metrics for consistency with the OpenAI SaaS Integration. It has the same value asopenai.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 inddtrace.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 ing
,i
, ort
being removed (eg:test-environment.git
incorrectly becomingtest-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 totrace_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
orgunicorn
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.TimeoutError
s 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.
2.11.4
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 ing
,i
, ort
being removed (eg:test-environment.git
incorrectly becomingtest-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 totrace_id
which was causing unexpected UI behavior.
2.10.7
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 ing
,i
, ort
being removed (eg:test-environment.git
incorrectly becomingtest-environmen
) - openai: Fixes a bug where
asyncio.TimeoutError
s were not being propagated correctly from canceled OpenAI API requests. - profiling: Fixes endpoing profiling for stack v2 when
DD_PROFILING_STACK_V2_ENABLED
is set.
2.9.6
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 ing
,i
, ort
being removed (eg:test-environment.git
incorrectly becomingtest-environmen
) - SSI: Fixes incorrect file permissions on lib-injection images.
- Code Security: Adds null pointer checks when creating new objects ids.
- profiling: Fixes endpoing profiling for stack v2 when
DD_PROFILING_STACK_V2_ENABLED
is set.
2.11.3
Bug Fixes
- ASM: Improves internal stability for the new fingerprinting feature.
2.11.2
New Features
- openai: Introduces
model
tag for openai integration metrics for consistency with the OpenAI SaaS Integration. It has the same value asopenai.request.model
.
Bug Fixes
- LLM Observability: Resolves an issue where LLM Observability spans were not being submitted in forked processes, such as when using
celery
orgunicorn
workers. The LLM Observability writer thread now automatically restarts when a forked process is detected. - openai: Fixes a bug where
asyncio.TimeoutError
s were not being propagated correctly from canceled OpenAI API requests.
2.12.0rc2
Bug Fixes
- LLM Observability: This fix resolves an issue where LLM Observability spans were not being submitted in forked processes, such as when using
celery
orgunicorn
workers. The LLM Observability writer thread now automatically restarts when a forked process is detected. - Fixed an issue with some module imports with native specs that don't support attribute assignments, resulting in a
TypeError
exception at runtime. - This fix resolves an issue where
ddtrace
package files were published with incorrect file attributes. - tracer: This fix resolves an issue where django db instrumentation could fail.
- openai: Fixes a bug where `asyncio.TimeoutError`s were not being propagated correctly from canceled OpenAI API requests.
2.11.1
Bug Fixes
- tracing(django): This fix resolves a bug where ddtrace was exhausting a Django stream response before returning it to user.
- Fixed an issue with some module imports with native specs that don't support attribute assignments, resulting in a
TypeError
exception at runtime. - internal: Fix
Already mutably borrowed
error by reverting back to pure-python rate limiter. - This fix resolves an issue where
ddtrace
package files were published with incorrect file attributes. - profiling: Fixes an issue where the profiler could erroneously try to load protobuf in autoinjected environments, where it is not available.
- Fixes an issue where crashtracking environment variables for Python were inconsistent with those used by other runtimes.
- profiling: Fixes endpoing profiling for stack v2, that is when
DD_PROFILING_STACK_V2_ENABLED
set.