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3 commits

Author SHA1 Message Date
Krish Dholakia
5ac61a7572
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
2025-03-29 00:23:09 -07:00
Krish Dholakia
4351c77253
Support Gemini audio token cost tracking + fix openai audio input token cost tracking (#9535)
* fix(vertex_and_google_ai_studio_gemini.py): log gemini audio tokens in usage object

enables accurate cost tracking

* refactor(vertex_ai/cost_calculator.py): refactor 128k+ token cost calculation to only run if model info has it

Google has moved away from this for gemini-2.0 models

* refactor(vertex_ai/cost_calculator.py): migrate to usage object for more flexible data passthrough

* fix(llm_cost_calc/utils.py): support audio token cost tracking in generic cost per token

enables vertex ai cost tracking to work with audio tokens

* fix(llm_cost_calc/utils.py): default to total prompt tokens if text tokens field not set

* refactor(llm_cost_calc/utils.py): move openai cost tracking to generic cost per token

more consistent behaviour across providers

* test: add unit test for gemini audio token cost calculation

* ci: bump ci config

* test: fix test
2025-03-26 17:26:25 -07:00
Krish Dholakia
c3edfc2c92
LiteLLM Minor Fixes & Improvements (12/23/2024) - p3 (#7394)
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* build(model_prices_and_context_window.json): add gemini-1.5-flash context caching

* fix(context_caching/transformation.py): just use last identified cache point

Fixes https://github.com/BerriAI/litellm/issues/6738

* fix(context_caching/transformation.py): pick first contiguous block - handles system message error from google

Fixes https://github.com/BerriAI/litellm/issues/6738

* fix(vertex_ai/gemini/): track context caching tokens

* refactor(gemini/): place transformation.py inside `chat/` folder

make it easy for user to know we support the equivalent endpoint

* fix: fix import

* refactor(vertex_ai/): move vertex_ai cost calc inside vertex_ai/ folder

make it easier to see cost calculation logic

* fix: fix linting errors

* fix: fix circular import

* feat(gemini/cost_calculator.py): support gemini context caching cost calculation

generifies anthropic's cost calculation function and uses it across anthropic + gemini

* build(model_prices_and_context_window.json): add cost tracking for gemini-1.5-flash-002 w/ context caching

Closes https://github.com/BerriAI/litellm/issues/6891

* docs(gemini.md): add gemini context caching architecture diagram

make it easier for user to understand how context caching works

* docs(gemini.md): link to relevant gemini context caching code

* docs(gemini/context_caching): add readme in github, make it easy for dev to know context caching is supported + where to go for code

* fix(llm_cost_calc/utils.py): handle gemini 128k token diff cost calc scenario

* fix(deepseek/cost_calculator.py): support deepseek context caching cost calculation

* test: fix test
2024-12-23 22:02:52 -08:00
Renamed from litellm/litellm_core_utils/llm_cost_calc/google.py (Browse further)