* add watsonx/mistralai/mistral-large to model prices and context window json
- Set max_tokens and max_input_tokens to 131072 and max_output_tokens to 16384 to match IBM's official context window limit for Mistral Large models hosted on watsonx.
- Correct input_cost_per_token and output_cost_per_token to reflect IBM's pricing of $0.003 and $0.01 per 1000 tokens, respectively, converted to per-token rates (0.000003 and 0.00001).
- Confirmed function-calling support based on IBM documentation and Mistral's own API schema.
- Aligns with Mistral's own model entries that specify token windows of ~128K and matches LiteLLM's expected cost format.
**Sources:**
- IBM watsonx Foundation Models docs: https://www.ibm.com/docs/en/watsonx/w-and-w/2.1.x?topic=models-foundation-model-details#mistral-large
- IBM Pricing information for watsonx.ai models: https://www.ibm.com/products/watsonx-ai/pricing
- LiteLLM repo docs on token cost formatting and limits https://docs.litellm.ai/docs/proxy/custom_pricing.
- Imitating entries from litellm/model_prices_and_context_window.json for watsonx/ibm/granite-3-8b-instruct as well as Mistral's own mistral/mistral-large-latest and similar.
* Update model_prices_and_context_window.json
typo
* Update model_prices_and_context_window.json
* Update model_prices_and_context_window.json
Got ValueError on Python3.10 because datetime.fromisoformat could not handle 'Z' -> '+00:00' at the end of a timestamp. Instead, try with the previous behavior, except ValueError, then attempt removing Z, and adding +00:00 to support Python3.10
* add JWTLiteLLMRoleMap
* test_sync_user_role_and_teams
* add sync_user_role_and_teams
* test_sync_user_role_and_teams
* fix types
* Sync User Roles and Teams with IDP
* Add test for JWT role mapping to LiteLLM roles
* add fixes to choice implementation redaction
* add isInstance check on responses API
* change datadog to revert back
* change datadog to revert back
* fix type errors
* Redaction test changes
* Redaction test changes
* Redaction test changes - remove changes
* Litellm dev 03 05 2025 contributor prs (#9079)
* feat: add support for copilot provider
* test: add tests for github copilot
* chore: clean up github copilot authenticator
* test: add test for github copilot authenticator
* test: add test for github copilot for sonnet 3.7 thought model
* Fix#7629 - Add tzdata package to Dockerfile (#8915)
* Add tzdata package to Dockerfile
* Move tzdata to python requirement.txt
* feat: add support for copilot provider (#8577)
* feat: add support for copilot provider
* test: add tests for github copilot
* chore: clean up github copilot authenticator
* test: add test for github copilot authenticator
* test: add test for github copilot for sonnet 3.7 thought model
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* feat: add model information for copilot models
* fix: fix linting errors
* test: remove integration test for github_copilot + fix misisng mock
* fix: use print to make sure the logger message shown
* test: remove debug print
* fix lint (#11112)
* Add init files to make test directories Python packages and update import paths in test_token_counter.py (#11119)
* Update litellm/model_prices_and_context_window_backup.json
Co-authored-by: மனோஜ்குமார் பழனிச்சாமி <smartmanoj42857@gmail.com>
---------
Co-authored-by: Son H. Nguyen <nhs.000.dev@gmail.com>
Co-authored-by: subnet.dev <50828879+subnet-dev@users.noreply.github.com>
Co-authored-by: Son H. Nguyen <33925625+nhs000@users.noreply.github.com>
Co-authored-by: மனோஜ்குமார் பழனிச்சாமி <smartmanoj42857@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* refactor github copilot
* test_github_copilot_transformation.py
* test_github_copilot_authenticator.py
* add GitHub Copilot
* fix order
* doc fix
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: Son H. Nguyen <nhs.000.dev@gmail.com>
Co-authored-by: subnet.dev <50828879+subnet-dev@users.noreply.github.com>
Co-authored-by: Son H. Nguyen <33925625+nhs000@users.noreply.github.com>
Co-authored-by: மனோஜ்குமார் பழனிச்சாமி <smartmanoj42857@gmail.com>
- Added 'size' to supported parameters for vertex_ai in get_optional_params_image_gen
- Implemented mapping from OpenAI size format (e.g., '1024x1024') to Vertex AI aspectRatio format (e.g., '1:1')
- Supports common aspect ratios: 1:1 (square), 16:9 (landscape), 9:16 (portrait)
- Added comprehensive test coverage for the size parameter mapping
Fixes LIT-279: Vertex AI Image Generation Aspect Ratio Support
