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Litellm dev 02 13 2025 p2 (#8525)

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* 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
This commit is contained in:
Krish Dholakia 2025-02-13 20:28:42 -08:00 • committed by GitHub
parent be31a5f7b4
commit e33543ae4f
15 changed files with 444 additions and 39 deletions
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litellm/main.py
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@ -215,7 +215,6 @@ azure_audio_transcriptions = AzureAudioTranscription()
huggingface = Huggingface()
predibase_chat_completions = PredibaseChatCompletion()
codestral_text_completions = CodestralTextCompletion()
bedrock_chat_completion = BedrockLLM()
bedrock_converse_chat_completion = BedrockConverseLLM()
bedrock_embedding = BedrockEmbedding()
bedrock_image_generation = BedrockImageGeneration()
@ -3947,7 +3946,7 @@ async def atext_completion(
),
model=model,
custom_llm_provider=custom_llm_provider,
stream_options=kwargs.get('stream_options'),
stream_options=kwargs.get("stream_options"),
)
else:
## OpenAI / Azure Text Completion Returns here