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LiteLLM Minor Fixes & Improvements (09/21/2024) (#5819)
* fix(router.py): fix error message * Litellm disable keys (#5814) * build(schema.prisma): allow blocking/unblocking keys Fixes https://github.com/BerriAI/litellm/issues/5328 * fix(key_management_endpoints.py): fix pop * feat(auth_checks.py): allow admin to enable/disable virtual keys Closes https://github.com/BerriAI/litellm/issues/5328 * docs(vertex.md): add auth section for vertex ai Addresses - https://github.com/BerriAI/litellm/issues/5768#issuecomment-2365284223 * build(model_prices_and_context_window.json): show which models support prompt_caching Closes https://github.com/BerriAI/litellm/issues/5776 * fix(router.py): allow setting default priority for requests * fix(router.py): add 'retry-after' header for concurrent request limit errors Fixes https://github.com/BerriAI/litellm/issues/5783 * fix(router.py): correctly raise and use retry-after header from azure+openai Fixes https://github.com/BerriAI/litellm/issues/5783 * fix(user_api_key_auth.py): fix valid token being none * fix(auth_checks.py): fix model dump for cache management object * fix(user_api_key_auth.py): pass prisma_client to obj * test(test_otel.py): update test for new key check * test: fix test
This commit is contained in:
Krish Dholakia
GitHub
parent
1ca638973f
commit
8039b95aaf
25 changed files with 1006 additions and 182 deletions
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@ -704,7 +704,6 @@ class OpenAIChatCompletion(BaseLLM):
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drop_params: Optional[bool] = None,
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):
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super().completion()
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exception_mapping_worked = False
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try:
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if headers:
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optional_params["extra_headers"] = headers
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@ -911,6 +910,9 @@ class OpenAIChatCompletion(BaseLLM):
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status_code = getattr(e, "status_code", 500)
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error_headers = getattr(e, "headers", None)
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error_text = getattr(e, "text", str(e))
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error_response = getattr(e, "response", None)
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if error_headers is None and error_response:
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error_headers = getattr(error_response, "headers", None)
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raise OpenAIError(
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status_code=status_code, message=error_text, headers=error_headers
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)
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@ -1003,8 +1005,12 @@ class OpenAIChatCompletion(BaseLLM):
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raise e
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# e.message
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except Exception as e:
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exception_response = getattr(e, "response", None)
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status_code = getattr(e, "status_code", 500)
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error_headers = getattr(e, "headers", None)
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if error_headers is None and exception_response:
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error_headers = getattr(exception_response, "headers", None)
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raise OpenAIError(
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status_code=status_code, message=str(e), headers=error_headers
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)
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@ -1144,10 +1150,13 @@ class OpenAIChatCompletion(BaseLLM):
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raise e
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error_headers = getattr(e, "headers", None)
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status_code = getattr(e, "status_code", 500)
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error_response = getattr(e, "response", None)
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if error_headers is None and error_response:
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error_headers = getattr(error_response, "headers", None)
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if response is not None and hasattr(response, "text"):
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error_headers = getattr(e, "headers", None)
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raise OpenAIError(
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status_code=500,
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status_code=status_code,
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message=f"{str(e)}\n\nOriginal Response: {response.text}", # type: ignore
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headers=error_headers,
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)
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@ -1272,8 +1281,12 @@ class OpenAIChatCompletion(BaseLLM):
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)
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status_code = getattr(e, "status_code", 500)
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error_headers = getattr(e, "headers", None)
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error_text = getattr(e, "text", str(e))
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error_response = getattr(e, "response", None)
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if error_headers is None and error_response:
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error_headers = getattr(error_response, "headers", None)
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raise OpenAIError(
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status_code=status_code, message=str(e), headers=error_headers
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status_code=status_code, message=error_text, headers=error_headers
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)
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def embedding( # type: ignore
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@ -1352,8 +1365,12 @@ class OpenAIChatCompletion(BaseLLM):
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except Exception as e:
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status_code = getattr(e, "status_code", 500)
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error_headers = getattr(e, "headers", None)
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error_text = getattr(e, "text", str(e))
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error_response = getattr(e, "response", None)
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if error_headers is None and error_response:
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error_headers = getattr(error_response, "headers", None)
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raise OpenAIError(
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status_code=status_code, message=str(e), headers=error_headers
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status_code=status_code, message=error_text, headers=error_headers
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)
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async def aimage_generation(
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@ -1774,7 +1791,15 @@ class OpenAITextCompletion(BaseLLM):
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## RESPONSE OBJECT
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return TextCompletionResponse(**response_json)
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except Exception as e:
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raise e
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status_code = getattr(e, "status_code", 500)
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error_headers = getattr(e, "headers", None)
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error_text = getattr(e, "text", str(e))
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error_response = getattr(e, "response", None)
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if error_headers is None and error_response:
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error_headers = getattr(error_response, "headers", None)
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raise OpenAIError(
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status_code=status_code, message=error_text, headers=error_headers
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)
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async def acompletion(
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self,
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@ -1825,7 +1850,15 @@ class OpenAITextCompletion(BaseLLM):
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response_obj._hidden_params.original_response = json.dumps(response_json)
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return response_obj
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except Exception as e:
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raise e
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status_code = getattr(e, "status_code", 500)
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error_headers = getattr(e, "headers", None)
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error_text = getattr(e, "text", str(e))
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error_response = getattr(e, "response", None)
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if error_headers is None and error_response:
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error_headers = getattr(error_response, "headers", None)
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raise OpenAIError(
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status_code=status_code, message=error_text, headers=error_headers
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)
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def streaming(
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self,
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@ -1860,8 +1893,12 @@ class OpenAITextCompletion(BaseLLM):
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except Exception as e:
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status_code = getattr(e, "status_code", 500)
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error_headers = getattr(e, "headers", None)
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error_text = getattr(e, "text", str(e))
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error_response = getattr(e, "response", None)
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if error_headers is None and error_response:
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error_headers = getattr(error_response, "headers", None)
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raise OpenAIError(
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status_code=status_code, message=str(e), headers=error_headers
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status_code=status_code, message=error_text, headers=error_headers
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)
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streamwrapper = CustomStreamWrapper(
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completion_stream=response,
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@ -1871,8 +1908,19 @@ class OpenAITextCompletion(BaseLLM):
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stream_options=data.get("stream_options", None),
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)
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for chunk in streamwrapper:
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yield chunk
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try:
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for chunk in streamwrapper:
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yield chunk
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except Exception as e:
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status_code = getattr(e, "status_code", 500)
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error_headers = getattr(e, "headers", None)
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error_text = getattr(e, "text", str(e))
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error_response = getattr(e, "response", None)
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if error_headers is None and error_response:
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error_headers = getattr(error_response, "headers", None)
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raise OpenAIError(
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status_code=status_code, message=error_text, headers=error_headers
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)
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async def async_streaming(
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self,
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@ -1910,8 +1958,19 @@ class OpenAITextCompletion(BaseLLM):
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stream_options=data.get("stream_options", None),
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)
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async for transformed_chunk in streamwrapper:
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yield transformed_chunk
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try:
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async for transformed_chunk in streamwrapper:
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yield transformed_chunk
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except Exception as e:
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status_code = getattr(e, "status_code", 500)
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error_headers = getattr(e, "headers", None)
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error_text = getattr(e, "text", str(e))
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error_response = getattr(e, "response", None)
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if error_headers is None and error_response:
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error_headers = getattr(error_response, "headers", None)
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raise OpenAIError(
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status_code=status_code, message=error_text, headers=error_headers
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)
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class OpenAIFilesAPI(BaseLLM):
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