DataDog/dd-trace-py v2.8.6

2.8.6

on GitHub

Bug Fixes

• ASM: This fix resolves an issue where an org could not customize actions through remote config.
• Code Security: add the boto package to the IAST patching denylist.
• CI Visibility: Fixes an issue where the pytest plugin would crash if the git binary was absent
• CI Visibility: fixes source file information that would be incorrect in certain decorated / wrapped scenarios and forces paths to be relative to the repository root, if present.
• CI Visibility: fixes that traces were not properly being sent in agentless mode, and were otherwise not properly attached to the test that started them
• openai: This fix resolves an issue where specifying None for streamed chat completions resulted in a TypeError.
• openai: This fix removes patching for the edits and fine tunes endpoints, which have been removed from the OpenAI API.
• openai: This fix resolves an issue where streamed OpenAI responses raised errors when being used as context managers.
• profiling: Fixes an issue where task information coming from echion was encoded improperly, which could segfault the application.
• tracing: fixes a potential crash where using partial flushes and tracer.configure() could result in an IndexError
• tracing: Fixes an issue where DD_TRACE_SPAN_TRACEBACK_MAX_SIZE was not applied to exception tracebacks.
• tracing: This fix resolves an issue where importing asyncio after a trace has already been started will reset the currently active span.
• flask: Fix scenarios when using flask-like frameworks would cause a crash because of patching issues on startup.
• profiling: captures lock usages with with context managers, e.g. with lock:
• profiling: propagates runtime_id tag to libdatadog exporter. It is a unique string identifier for the profiled process. For example, Thread Timeline visualization uses it to distinguish different processes.