v3.17.1 — Datadog dd-trace-py

Estimated end-of-life date, accurate to within three months: 08-2026 See the support level definitions for more information.

CI Visibility: This fix resolves performance issue affecting coverage collection for Python 3.12+
LLM Observability
- Corrected the description of the assessment argument in submit_evaluation(). assessment now refers to whether the evaluation itself passes or fails according to your application, rather than the validity of the evaluation result.
- Resolves an issue where the langchain integration would incorrectly mark Azure OpenAI calls as duplicate llm operations even if the openai integration was enabled. The langchain integration will trace Azure OpenAI spans as workflow spans if there is an equivalent llm span from the openai integration.

IAST: Fixed an issue where using weak hashing or cipher algorithms outside of a request context (e.g., during application startup) could raise an unhandled exception. The fix ensures proper error handling when IAST operations are performed without an active request context.

profiling: Upgrades echion to resolve an issue where stack profiler can allocate a large amount of memory unnecessarily. Resolves another issue where the profiler can loop infinitely on Python 3.13.