The litellm-database Docker image was missing the libsndfile system
library, which is required by the soundfile Python package for audio
file processing. This caused failures when using audio transcription
endpoints that attempt to calculate audio duration.
This adds libsndfile to the runtime dependencies in Dockerfile.database,
consistent with Dockerfile.alpine which already includes this library.
* Fix Bedrock guardrail apply_guardrail method and test mocks
Fixed 4 failing tests in the guardrail test suite:
1. BedrockGuardrail.apply_guardrail now returns original texts when guardrail
allows content but doesn't provide output/outputs fields. Previously returned
empty list, causing test_bedrock_apply_guardrail_success to fail.
2. Updated test mocks to use correct Bedrock API response format:
- Changed from 'content' field to 'output' field
- Fixed nested structure from {'text': {'text': '...'}} to {'text': '...'}
- Added missing 'output' field in filter test
3. Fixed endpoint test mocks to return GenericGuardrailAPIInputs format:
- Changed from tuple (List[str], Optional[List[str]]) to dict {'texts': [...]}
- Updated method call assertions to use 'inputs' parameter correctly
All 12 guardrail tests now pass successfully.
* fix: remove python3-dev from Dockerfile.build_from_pip to avoid Python version conflict
The base image cgr.dev/chainguard/python:latest-dev already includes Python 3.14
and its development tools. Installing python3-dev pulls Python 3.13 packages
which conflict with the existing Python 3.14 installation, causing file
ownership errors during apk install.
* fix: disable callbacks in vertex fine-tuning tests to prevent Datadog logging interference
The test was failing because Datadog logging was making an HTTP POST request
that was being caught by the mock, causing assert_called_once() to fail.
By disabling callbacks during the test, we prevent Datadog from making any
HTTP calls, allowing the mock to only see the Vertex AI API call.
* fix: ensure test isolation in test_logging_non_streaming_request
Add proper cleanup to restore original litellm.callbacks after test execution.
This prevents test interference when running as part of a larger test suite,
where global state pollution was causing async_log_success_event to be
called multiple times instead of once.
Fixes test failure where the test expected async_log_success_event to be
called once but was being called twice due to callbacks from previous tests
not being cleaned up.
* Attempt CI/CD Fix
* Adding test for coverage
* Adding max depth to copilot and vertex
* Fixing mypy lint and docker database
* Fixing UI build issues
* Update playwright test
Prisma CLI recently started bootstrapping npm@10 inside the runtime image, which now fails with a sizeCalculation cache error on the slim Python base. Installing Debian's nodejs/npm (along with libatomic1) lets Prisma reuse the system binaries so prisma generate completes again.
* add openssl in apk install in runtime stage in dockerfile.non_rootdocker-compose logs -f litellm
* Improve Docker-compose.yaml for local debugging
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* Change Dockerfile.noon_root with alpine base image
* Improve non_root docker image
* Re add the build_admin_ui.sh script step
* Re add the build_admin_ui.sh script step
* Remove unnecessary workdir set
* Remove unnecessary workdir set
* Configure chainguard image
* A bit of optimization and improve comments
* delete extra build_ui script run
* Optimizie Dockerfile copy statements
The `apk` commands can utilize the `--no-cache` option, making the
`update` step superfluous and ensuring the latest packages are used
without maintaining a local cache. An additional `apk update` in the
Dockerfile will just make the image larger with no benefits.
Remove unnecessary `apk update` and manual cache cleanup steps in the
Alpine Dockerfile. By using `apk add --no-cache`, we avoid manual cache
management, making the Dockerfile simpler and easier to maintain.
* fix working build from pip
* add tests for proxy_build_from_pip_tests
* doc clean up for deployment
* docs cleanup
* docs build from pip
* fix cd docker/build_from_pip
