* Add support for vector store files endpoints (#16490)
* Add base code for vector store integration
* fix azure related tests and linting error
* fix mypy errors
* Add vector store files documentation
* fix mapped tests
* Add bytedance and ideogram support in fal ai (#16636)
* Add fal ai flux pro v1.1 support (#16578)
* Add fal ai flux pro v1.1 support
* Add tests and docs
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Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
* fix(opentelemetry.py): fix issue where headers were not being split correctly
* feat(bedrock/image): Support bedrock titan image generation
Closes https://github.com/BerriAI/litellm/issues/361
* build(model_prices_and_context_window.json): track titan image gen pricing
enables cost tracking per request
* feat(amazon_titan_transformation.py): support titan image generation cost tracking
* docs: document new model
* docs: update docs to indicate cost tracking + refactor rerank into separate doc
* fix: fix mypy linting error
* fix: fix type ignore
- Test ARN format inference profile model detection
- Test model_id parameter filtering to prevent API errors
- Test cross-region inference profile format support
- Ensure backward compatibility with regular Nova Canvas models
- Cover both request body generation and parameter transformation
- Fix URL construction in Gemini image generation to strip 'gemini/' prefix
- Google AI API expects base model name without the prefix
- Update model references and pricing information for consistency
- Remove outdated image generation pricing entries
Fixes issue where models like 'gemini/imagen-4.0-fast-generate-preview-06-06'
were being rejected by the Google AI API due to incorrect URL formatting.
* fix(main.py): fix async retryer
Fixes https://github.com/BerriAI/litellm/issues/12830
* fix(forward_clientside_headers_by_model_group.py): filter out 'content-type' from forwardable headers
clientside content-type != proxy content type, can cause requests to hang
* test(tests/): update tests
* feat: add input_fidelity parameter for OpenAI image generation
- Add input_fidelity to OpenAIImageGenerationOptionalParams type
- Update image_generation function signature to accept input_fidelity
- Add input_fidelity to default_params in get_optional_params_image_gen
- Include input_fidelity in openai_params list for proper handling
- Update documentation with input_fidelity parameter description
- Add test for input_fidelity parameter functionality
This enables control over how closely the model follows the input prompt
for gpt-image-1 model, improving prompt adherence and image quality.
* feat: add input_fidelity to optional parameters for image generation
- Include input_fidelity in the list of OpenAIImageGenerationOptionalParams
- This addition enhances the flexibility of image generation by allowing control over input fidelity.
* test: enhance test for gpt-image-1 with input_fidelity parameter
- Update test_gpt_image_1_with_input_fidelity to include mocking of OpenAI response
- Validate that the OpenAI client is called with correct parameters, including input_fidelity
- Improve response validation to ensure expected output structure and values
* fix(main.py): use base model instead of user model if given
Fixes https://github.com/BerriAI/litellm/issues/10760
* feat(azure/image_generation/__init__.py): make azure image gen check more robust
Fixes https://github.com/BerriAI/litellm/issues/10760
* fix(user_api_key_auth.py): support bearer token auth for `x-litellm-api-key` header
Fixes earlier regression on vertex ai passthrough auth
* fix(user_api_key_auth.py): refactor get api key into separate function
enables easier testing
* fix: cleanup
* fix: fix linting error
* fix: cleanup
* test: update tests
* Support pdf url's to openai (#10640)
* fix(gpt_transformation.py): support pdf url input to openai
pass as base64 as openai doesn't support image url's
* fix(openai.py): support async message transformation
allows async get request to convert url to base64
* fix(gpt_transformation.py): fix linting errrors and use common components across sync + async flows
* fix: fix linting errors
* fix(openai.py): pop correct var
* Fix sagemaker chat calls - content length error (#10607)
* fix(sagemaker_chat/): support passing dynamic aws params
previously being ignored
* refactor(sagemaker/chat): more refactoring
* fix(sagemaker_chat/): make sure streaming is correctly handled post-refactor
* refactor: more refactoring to support using signed json str
* fix(sagemaker/chat): working sync streaming post refactor
* fix(sagemaker/chat): support async streaming post refactor
* fix(llm_http_handler.py): await async function
* fix: remove print statements
* test: update test
* test: update test
* fix(llm_http_handler.py): retain passing in data as json str
* test: update test
* fix(base_model_iterator.py): fix linting error
* test: test auth
* fix: fix linting error
* test: update test
* test: update translation test
* fix(gpt_transformation.py): handle awaitable/non-awaitable object
* fix: handle async flow for message transformation on openai compatible api's
* test: cleanup testing
* test: update test
* test(test_router.py): use model with higher quota
* test: simplify test
* test: update test
Ishaan Jaffer