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(azure): Enable stream_options for Azure OpenAI. (#6024) (#6029)

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* (azure): Enable stream_options for Azure OpenAI. (#6024)

* LiteLLM Minor Fixes & Improvements (10/02/2024)  (#6023)

* feat(together_ai/completion): handle together ai completion calls

* fix: handle list of int / list of list of int for text completion calls

* fix(utils.py): check if base model in bedrock converse model list

Fixes https://github.com/BerriAI/litellm/issues/6003

* test(test_optional_params.py): add unit tests for bedrock optional param mapping

Fixes https://github.com/BerriAI/litellm/issues/6003

* feat(utils.py): enable passing dummy tool call for anthropic/bedrock calls if tool_use blocks exist

Fixes https://github.com/BerriAI/litellm/issues/5388

* fixed an issue with tool use of claude models with anthropic and bedrock (#6013)

* fix(utils.py): handle empty schema for anthropic/bedrock

Fixes https://github.com/BerriAI/litellm/issues/6012

* fix: fix linting errors

* fix: fix linting errors

* fix: fix linting errors

* fix(proxy_cli.py): fix import route for app + health checks path (#6026)

* (testing): Enable testing us.anthropic.claude-3-haiku-20240307-v1:0. (#6018)

* fix(proxy_cli.py): fix import route for app + health checks gettsburg.wav

Fixes https://github.com/BerriAI/litellm/issues/5999

---------

Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>

---------

Co-authored-by: Ved Patwardhan <54766411+vedpatwardhan@users.noreply.github.com>
Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>

---------

Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>
Co-authored-by: Ved Patwardhan <54766411+vedpatwardhan@users.noreply.github.com>
This commit is contained in:
Krish Dholakia 2024-10-02 22:59:14 -04:00 • committed by GitHub
parent 74647a5227
commit f8d9be1301
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litellm/llms/AzureOpenAI/azure.py
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@ -135,6 +135,7 @@ class AzureOpenAIConfig:
"temperature",
"n",
"stream",
"stream_options",
"stop",
"max_tokens",
"max_completion_tokens",
@ -938,6 +939,7 @@ class AzureChatCompletion(BaseLLM):
model=model,
custom_llm_provider="azure",
logging_obj=logging_obj,
stream_options=data.get("stream_options", None),
_response_headers=process_azure_headers(headers),
)
return streamwrapper
@ -1006,6 +1008,7 @@ class AzureChatCompletion(BaseLLM):
model=model,
custom_llm_provider="azure",
logging_obj=logging_obj,
stream_options=data.get("stream_options", None),
_response_headers=headers,
)
return streamwrapper ## DO NOT make this into an async for ... loop, it will yield an async generator, which won't raise errors if the response fails