* Add support for supports_computer_use in model info
* Corrected list of supports_computer_use models
* Further fix computer use compatible claude models, fix existing test that predated supports_computer_use in the model list
* Move computer use test case into existing test_utils file
* Moved tests in to test_utils.py
* fix(openai/gpt_transformation.py): handle missing filename for openai file data call
* fix(openai/gpt_transformation.py): clean handling for sync + async pdf url transformation flows
Fixes https://github.com/BerriAI/litellm/issues/10820
* build(model_prices_and_context_window.json): add 'supports_pdf_input' for all openai models which have 'vision' support
Follows openai guidelines
* feat(bedrock/chat): support cache pointing tool calls on Bedrock
Closes https://github.com/BerriAI/litellm/pull/10613
* fix: fix linting error
* Update Groq models on model_prices_and_context_window.json
Add support for 6 new models; add deprecations dates to 12 model; and update context-windows/max-tokens for 3 models
* Round model costs to 8 decimal places
* Add support for nscale provider
* Add image generation support and fix unit tests
* Add docs for nscale
* Fix unit test import issues
* Minor doc improvement
* Remove redundant null tokens from model cost map
* Address PR review comments for doc updates
* Revert changes to large text
* build(model_prices_and_context_window.json): add bedrock llama4 models to model cost map
* fix template conversion for Llama 4 models in Bedrock (#10557)
* test: add testing to repro https://github.com/BerriAI/litellm/pull/10557
* test: add unit testing
* test(test_main.py): refactor where test is kept
---------
Co-authored-by: aswny <87371411+aswny@users.noreply.github.com>
Fixes:
Error generating conversation title: litellm.BadRequestError: VertexAIException BadRequestError - {
"error": {
"code": 400,
"message": "Unable to submit request because it has a maxOutputTokens value of 65536 but the supported range is from 1 (inclusive) to 65536 (exclusive). Update the value and try again.",
"status": "INVALID_ARGUMENT"
}
}
* Support Llama-api as an LLM provider (#10451)
* init: support llama-api as a llm provider
* docs: fix endpoint url
* fix: rename meta dir to meta-llama
* docs: add meta-llama info
* fix: mv LlamaAPIConfig under chat directory
* feat: add LlamaAPIConfig in ProviderConfigManager
* fix: provider_config from ProviderConfigManager
* feat: add supports_tool_choice param
* fix: remove optional_params using model_info
* fix: rename meta-llama to meta_llama
* init: test for meta_llama
* fix: model names
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* fix file naming convention
* fix file naming convention for meta_llama
* docs meta llama api litellm
---------
Co-authored-by: Young Han <110819238+seyeong-han@users.noreply.github.com>
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* fix(exception_mapping_utils.py): correctly pass through 504 status code
openai also raises a 504 status code
* build(model_prices_and_context_window.json): add gpt-4o-mini-tts to model cost map
Fixes https://github.com/BerriAI/litellm/issues/9591
* fix(cost_calculator.py): fix input cost calculation for gpt-4o-mini-tts
Fixes https://github.com/BerriAI/litellm/issues/9591
* test: testing updates
* build(model_prices_and_context_window.json): add vertex ai gemini-2.5-flash pricing
* build(model_prices_and_context_window.json): add gemini reasoning token pricing
* fix(vertex_and_google_ai_studio_gemini.py): support counting thinking tokens for gemini
allows accurate cost calc
* fix(utils.py): add reasoning token cost calc to generic cost calc
ensures gemini-2.5-flash cost calculation is accurate
* build(model_prices_and_context_window.json): mark gemini-2.5-flash as 'supports_reasoning'
* feat(gemini/): support 'thinking' + 'reasoning_effort' params + new unit tests
allow controlling thinking effort for gemini-2.5-flash models
* test: update unit testing
* feat(vertex_and_google_ai_studio_gemini.py): return reasoning content if given in gemini response
* test: update model name
* fix: fix ruff check
* test(test_spend_management_endpoints.py): update tests to be less sensitive to new keys / updates to usage object
* fix(vertex_and_google_ai_studio_gemini.py): fix translation
