Bump ddtrace from 3.15.0 to 3.17.2 in /cloud-run-functions/python in the python-dependencies group

[dependabot]

Bumps the python-dependencies group in /cloud-run-functions/python with 1 update: ddtrace.

Updates ddtrace from 3.15.0 to 3.17.2

Release notes

Sourced from ddtrace's releases.

3.17.2

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

Bug Fixes

• langchain: This fix resolves an issue where auto instrumented prompt templates incorrectly included a version field. The version field is now omitted unless explicitly set by the user.

• openai: This fix resolves an issue where using async iteration with paginated methods (e.g., async for model in client.models.list()) caused a TypeError: 'async for' requires an object with __aiter__ method, got coroutine. See [issue #14574](DataDog/dd-trace-py#14574).

• langchain: Fixes an issue where streamed responses that end before the first chunk is received would result in an IndexError.

• Fix a potential race condition in the tracer.

• Fix the Python Detector regular expression so it also detects paths ending with only the major version number.

• logging: Fixed ddtrace internal logging when trace-log correlation is disabled. Prevents ValueError: Formatting field not found in record: 'dd.service'.

3.17.1

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

Bug Fixes

• 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.

3.17.0

... (truncated)

Commits

• 25a7a37 fix: fix the python detector regex + tests [backport 3.17] (#15078)
• 58542d4 chore(logging): remove log correlation attributes from ddtrace loggers [Take ...
• 1769c04 fix(openai): async pagination for OpenAI list methods [backport 3.17] (#15067)
• ac57ec7 fix(internal): fix for potential race condition [backport 3.17] (#15049)
• 36f58bc fix(langchain): do not read from streamed chunks when there are none for chat...
• b4cd7cc fix(llmobs): remove version setting in langchain auto prompt template… (#15013)
• 93dc0ba fix(profiling): adapt Stack V2 to exception-free Echion [backport 3.17] (#15052)
• 4f94fd3 fix(ci_visibility): sys.monitoring deinstrumentation [backport 3.17] (#15041)
• 1906fcd fix(iast): weak hash error if vulnerability is outside the context [backport ...
• 43f65b0 chore(telemetry): fix protocol in otel metrics [backport 3.17] (#15035)
• Additional commits viewable in compare view

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[apiarian-datadog]

This PR has been combined into #121 and merged there.

🤖 Automatically closed by combine-dependabot-prs.sh

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