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https://github.com/BerriAI/litellm.git
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e33543ae4f
* fix(azure/chat/gpt_transformation.py): add 'prediction' as a support azure param Closes https://github.com/BerriAI/litellm/issues/8500 * build(model_prices_and_context_window.json): add new 'gemini-2.0-pro-exp-02-05' model * style: cleanup invalid json trailing commma * feat(utils.py): support passing 'tokenizer_config' to register_prompt_template enables passing complete tokenizer config of model to litellm Allows calling deepseek on bedrock with the correct prompt template * fix(utils.py): fix register_prompt_template for custom model names * test(test_prompt_factory.py): fix test * test(test_completion.py): add e2e test for bedrock invoke deepseek ft model * feat(base_invoke_transformation.py): support hf_model_name param for bedrock invoke calls enables proxy admin to set base model for ft bedrock deepseek model * feat(bedrock/invoke): support deepseek_r1 route for bedrock makes it easy to apply the right chat template to that call * feat(constants.py): store deepseek r1 chat template - allow user to get correct response from deepseek r1 without extra work * test(test_completion.py): add e2e mock test for bedrock deepseek * docs(bedrock.md): document new deepseek_r1 route for bedrock allows us to use the right config * fix(exception_mapping_utils.py): catch read operation timeout |
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| .. | ||
| adapters | ||
| assistants | ||
| batch_completion | ||
| batches | ||
| caching | ||
| files | ||
| fine_tuning | ||
| integrations | ||
| litellm_core_utils | ||
| llms | ||
| proxy | ||
| realtime_api | ||
| rerank_api | ||
| router_strategy | ||
| router_utils | ||
| secret_managers | ||
| types | ||
| __init__.py | ||
| _logging.py | ||
| _redis.py | ||
| _service_logger.py | ||
| _version.py | ||
| budget_manager.py | ||
| constants.py | ||
| cost.json | ||
| cost_calculator.py | ||
| exceptions.py | ||
| main.py | ||
| model_prices_and_context_window_backup.json | ||
| py.typed | ||
| router.py | ||
| scheduler.py | ||
| timeout.py | ||
| utils.py | ||