DALL-E 2 create_variation requires a square PNG. The old fixture fetched
the LiteLLM logo from S3 which is non-square, causing API rejections.
Replace with a programmatically-generated 1024x1024 RGBA PNG via Pillow.
* fix(ci): fix image variation test for openai sdk 2.24.0 and swap nova-premier to nova-pro
image_gen_tests: openai==2.24.0 (bumped Feb 25) requires BytesIO objects to have
a .name attribute for MIME type detection in multipart uploads. Add .name to the
fixture so create_variation works. Also guard with OPENAI_API_KEY skipif.
proxy_e2e_anthropic_messages_tests: nova-premier requires provisioned throughput
not available via standard on-demand cross-region inference on the CI account.
Swap to nova-pro which uses standard inference profiles.
* fix: remove skipif, keep only .name fix for openai sdk compat
* fix(utils.py): don't pass 'anthropic-beta' header to vertex - will cause request to fail
* fix(utils.py): add flag to allow user to disable filtering invalid headers
ensure user can control behaviour
* style(utils.py): cleanup message
* test(test_utils.py): add unit test to cover invalid header filtering
* fix(proxy_server.py): fix custom openapi schema generation
* fix(utils.py): pass extra headers if set
* fix(main.py): fix image variation to use 'client' param
* feat(main.py): initial commit for `/image/variations` endpoint support
* refactor(base_llm/): introduce new base llm base config for image variation endpoints
* refactor(openai/image_variations/transformation.py): implement openai image variation transformation handler
* fix: test
* feat(openai/): working openai `/image/variation` endpoint calls via sdk
* feat(topaz/): topaz sync image variation call support
Addresses https://github.com/BerriAI/litellm/issues/7593
'
* fix(topaz/transformation.py): fix linting errors
* fix(openai/image_variations/handler.py): fix passing json data
* fix(main.py): image_variation/
support async image variation route - `aimage_variation`
* fix(test_get_model_info.py): fix test
* fix: cleanup unused imports
* feat(openai/): add async `/image/variations` endpoint support
* feat(topaz/): support async `/image/variations` calls
* fix: test
* fix(utils.py): fix get_model_info_helper for no model info w/ provider config
handles situation where model info is not known but provider config exists
* test(test_router_fallbacks.py): mark flaky test
* fix: fix unused imports
* test: bump otel load test perf threshold - accounts for current load tests hitting same server
Sameer Kankute