Add bedrock latency optimized inference support (#9623)

* 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

litellm/main.py

@@ -3723,6 +3723,7 @@ def embedding(  # noqa: PLR0915
                     encoding=encoding,
                     logging_obj=logging,
                     optional_params=optional_params,
+                    litellm_params=litellm_params_dict,
                     model_response=EmbeddingResponse(),
                     vertex_project=vertex_ai_project,
                     vertex_location=vertex_ai_location,