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feat(proxy_cli.py): add new 'log_config' cli param (#6352)

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* feat(proxy_cli.py): add new 'log_config' cli param

Allows passing logging.conf to uvicorn on startup

* docs(cli.md): add logging conf to uvicorn cli docs

* fix(get_llm_provider_logic.py): fix default api base for litellm_proxy

Fixes https://github.com/BerriAI/litellm/issues/6332

* feat(openai_like/embedding): Add support for jina ai embeddings

Closes https://github.com/BerriAI/litellm/issues/6337

* docs(deploy.md): update entrypoint.sh filepath post-refactor

Fixes outdated docs

* feat(prometheus.py): emit time_to_first_token metric on prometheus

Closes https://github.com/BerriAI/litellm/issues/6334

* fix(prometheus.py): only emit time to first token metric if stream is True

enables more accurate ttft usage

* test: handle vertex api instability

* fix(get_llm_provider_logic.py): fix import

* fix(openai.py): fix deepinfra default api base

* fix(anthropic/transformation.py): remove anthropic beta header (#6361)
This commit is contained in:
Krish Dholakia 2024-10-21 21:25:58 -07:00 • committed by GitHub
parent 7338b24a74
commit 2b9db05e08
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23 changed files with 839 additions and 263 deletions
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12
litellm/llms/openai_like/common_utils.py Normal file
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import httpx
class OpenAILikeError(Exception):
def __init__(self, status_code, message):
self.status_code = status_code
self.message = message
self.request = httpx.Request(method="POST", url="https://www.litellm.ai")
self.response = httpx.Response(status_code=status_code, request=self.request)
super().__init__(
self.message
) # Call the base class constructor with the parameters it needs