Krish Dholakia
6ba3c4a4f8
VertexAI non-jsonl file storage support ( #9781 )
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* test: add initial e2e test
* fix(vertex_ai/files): initial commit adding sync file create support
* refactor: initial commit of vertex ai non-jsonl files reaching gcp endpoint
* fix(vertex_ai/files/transformation.py): initial working commit of non-jsonl file call reaching backend endpoint
* fix(vertex_ai/files/transformation.py): working e2e non-jsonl file upload
* test: working e2e jsonl call
* test: unit testing for jsonl file creation
* fix(vertex_ai/transformation.py): reset file pointer after read
allow multiple reads on same file object
* fix: fix linting errors
* fix: fix ruff linting errors
* fix: fix import
* fix: fix linting error
* fix: fix linting error
* fix(vertex_ai/files/transformation.py): fix linting error
* test: update test
* test: update tests
* fix: fix linting errors
* fix: fix test
* fix: fix linting error
2025-04-09 14:01:48 -07:00
Krish Dholakia
9b7ebb6a7d
build(pyproject.toml): add new dev dependencies - for type checking ( #9631 )
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* build(pyproject.toml): add new dev dependencies - for type checking
* build: reformat files to fit black
* ci: reformat to fit black
* ci(test-litellm.yml): make tests run clear
* build(pyproject.toml): add ruff
* fix: fix ruff checks
* build(mypy/): fix mypy linting errors
* fix(hashicorp_secret_manager.py): fix passing cert for tls auth
* build(mypy/): resolve all mypy errors
* test: update test
* fix: fix black formatting
* build(pre-commit-config.yaml): use poetry run black
* fix(proxy_server.py): fix linting error
* fix: fix ruff safe representation error
2025-03-29 11:02:13 -07:00
Krish Dholakia
5ac61a7572
Add bedrock latency optimized inference support ( #9623 )
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* fix(converse_transformation.py): add performanceConfig param support on bedrock
Closes https://github.com/BerriAI/litellm/issues/7606
* fix(converse_transformation.py): refactor to use more flexible single getter for params which are separate config blocks
* test(test_main.py): add e2e mock test for bedrock performance config
* build(model_prices_and_context_window.json): add versioned multimodal embedding
* refactor(multimodal_embeddings/): migrate to config pattern
* feat(vertex_ai/multimodalembeddings): calculate usage for multimodal embedding calls
Enables cost calculation for multimodal embeddings
* feat(vertex_ai/multimodalembeddings): get usage object for embedding calls
ensures accurate cost tracking for vertexai multimodal embedding calls
* fix(embedding_handler.py): remove unused imports
* fix: fix linting errors
* fix: handle response api usage calculation
* test(test_vertex_ai_multimodal_embedding_transformation.py): update tests
* test: mark flaky test
* feat(vertex_ai/multimodal_embeddings/transformation.py): support text+image+video input
* docs(vertex.md): document sending text + image to vertex multimodal embeddings
* test: remove incorrect file
* fix(multimodal_embeddings/transformation.py): fix linting error
* style: remove unused import
2025-03-29 00:23:09 -07:00
