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Deepseek r1 support + watsonx qa improvements (#7907)
* fix(types/utils.py): support returning 'reasoning_content' for deepseek models Fixes https://github.com/BerriAI/litellm/issues/7877#issuecomment-2603813218 * fix(convert_dict_to_response.py): return deepseek response in provider_specific_field allows for separating openai vs. non-openai params in model response * fix(utils.py): support 'provider_specific_field' in delta chunk as well allows deepseek reasoning content chunk to be returned to user from stream as well Fixes https://github.com/BerriAI/litellm/issues/7877#issuecomment-2603813218 * fix(watsonx/chat/handler.py): fix passing space id to watsonx on chat route * fix(watsonx/): fix watsonx_text/ route with space id * fix(watsonx/): qa item - also adds better unit testing for watsonx embedding calls * fix(utils.py): rename to '..fields' * fix: fix linting errors * fix(utils.py): fix typing - don't show provider-specific field if none or empty - prevents default respons e from being non-oai compatible * fix: cleanup unused imports * docs(deepseek.md): add docs for deepseek reasoning model
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12 changed files with 281 additions and 63 deletions
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@ -4063,3 +4063,21 @@ def test_mock_response_iterator_tool_use():
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response_chunk = completion_stream._chunk_parser(chunk_data=response)
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assert response_chunk["tool_use"] is not None
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def test_deepseek_reasoning_content_completion():
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litellm.set_verbose = True
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resp = litellm.completion(
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model="deepseek/deepseek-reasoner",
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messages=[{"role": "user", "content": "Tell me a joke."}],
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stream=True,
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)
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reasoning_content_exists = False
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for chunk in resp:
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print(f"chunk: {chunk}")
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if chunk.choices[0].delta.content is not None:
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if "reasoning_content" in chunk.choices[0].delta.provider_specific_fields:
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reasoning_content_exists = True
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break
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assert reasoning_content_exists
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