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OpenAI integration #2791
OpenAI integration #2791
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looks great! will defer to @Zylphrex and others for final review
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Yay! An OpenAI integration! Great work! Requested some changes to have the data in all the right places.
One important general question:
Is it possible that this will send personal data of any kind?
If yes, please guard it like we do here: https://github.com/getsentry/sentry-python/blob/master/sentry_sdk/integrations/flask.py#L186
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Wow, that was a fast update!
I took the liberty do add a small fix to make the test pass. Please pull your openai
branch.
Some little changes we will still have to make, but then we are good to go!
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Yes, looks great now! Thanks for all the hard work!
You can merge this now!
* ref: Improve scrub_dict typing (#2768) This change improves the typing of the scrub_dict method. Previously, the scrub_dict method's type hints indicated that only dict[str, Any] was accepted as the parameter. However, the method is actually implemented to accept any object, since it checks the types of the parameters at runtime. Therefore, object is a more appropriate type hint for the parameter. #2753 depends on this change for mypy to pass * Propagate sentry-trace and baggage to huey tasks (#2792) This PR enables passing `sentry-trace` and `baggage` headers to background tasks using the Huey task queue. This allows easily correlating what happens inside a background task with whatever transaction (e.g. a user request in a Django application) queued the task in the first place. Periodic tasks do not get these headers, because otherwise each execution of the periodic task would be tied to the same parent trace (the long-running worker process). --- Co-authored-by: Anton Pirker <anton.pirker@sentry.io> * OpenAI integration (#2791) * OpenAI integration * Fix linting errors * Fix CI * Fix lint * Fix more CI issues * Run tests on version pinned OpenAI too * Fix pydantic issue in test * Import type in TYPE_CHECKING gate * PR feedback fixes * Fix tiktoken test variant * PII gate the request and response * Rename set_data tags * Move doc location * Add "exclude prompts" flag as optional * Change prompts to be excluded by default * Set flag in tests * Fix tiktoken tox.ini extra dash * Change strip PII semantics * More test coverage for PII * notiktoken --------- Co-authored-by: Anton Pirker <anton.pirker@sentry.io> * Add a method for normalizing data passed to set_data (#2800) * Discard open spans after 10 minutes (#2801) OTel spans that are handled in the Sentry span processor can never be finished/closed. This leads to a memory leak. This change makes sure that open spans will be removed from memory after 10 minutes to prevent memory usage from growing constantly. Fixes #2722 --------- Co-authored-by: Daniel Szoke <szokeasaurusrex@users.noreply.github.com> * ref: Event Type (#2753) Implements type hinting for Event via a TypedDict. This commit mainly adjusts type hints; however, there are also some minor code changes to make the code type-safe following the new changes. Some items in the Event could have their types expanded by being defined as TypedDicts themselves. These items have been indicated with TODO comments. Fixes GH-2357 * Fix mypy in `client.py` * Fix functools import * Fix CI config problem ... by running `python scripts/split-tox-gh-actions/split-tox-gh-actions.py` --------- Co-authored-by: Christian Schneider <christian@cnschn.com> Co-authored-by: Anton Pirker <anton.pirker@sentry.io> Co-authored-by: colin-sentry <161344340+colin-sentry@users.noreply.github.com>
Upstream in SDKs (getsentry/sentry-python#2791) we added strings like "ai.prompt_tokens.used" This adds them as known data fields, otherwise they are removed as PII since most configurations consider any superstring of "token" to be a password.
OpenAI integration for performance monitoring.
This commit instruments two OpenAI functions (for now) with monkeypatches, and creates span objects automatically.
General Notes
Thank you for contributing to
sentry-python
!Please add tests to validate your changes, and lint your code using
tox -e linters
.Running the test suite on your PR might require maintainer approval. Some tests (AWS Lambda) additionally require a maintainer to add a special label to run and will fail if the label is not present.
For maintainers
Sensitive test suites require maintainer review to ensure that tests do not compromise our secrets. This review must be repeated after any code revisions.
Before running sensitive test suites, please carefully check the PR. Then, apply the
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label. The label will be removed after any code changes to enforce our policy requiring maintainers to review all code revisions before running sensitive tests.