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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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| .. | ||
| batches | ||
| chat | ||
| completion | ||
| files | ||
| fine_tuning | ||
| realtime | ||
| assistants.py | ||
| audio_transcriptions.py | ||
| azure.py | ||
| common_utils.py | ||
| cost_calculation.py | ||