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litellm / litellm /exceptions.py
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# +-----------------------------------------------+
# | |
# | Give Feedback / Get Help |
# | https://github.com/BerriAI/litellm/issues/new |
# | |
# +-----------------------------------------------+
#
# Thank you users! We ❤️ you! - Krrish & Ishaan
## LiteLLM versions of the OpenAI Exception Types
from openai import (
AuthenticationError,
BadRequestError,
NotFoundError,
RateLimitError,
APIStatusError,
OpenAIError,
APIError,
APITimeoutError,
APIConnectionError,
APIResponseValidationError,
UnprocessableEntityError,
)
import httpx
class AuthenticationError(AuthenticationError): # type: ignore
def __init__(self, message, llm_provider, model, response: httpx.Response):
self.status_code = 401
self.message = message
self.llm_provider = llm_provider
self.model = model
super().__init__(
self.message, response=response, body=None
) # Call the base class constructor with the parameters it needs
# raise when invalid models passed, example gpt-8
class NotFoundError(NotFoundError): # type: ignore
def __init__(self, message, model, llm_provider, response: httpx.Response):
self.status_code = 404
self.message = message
self.model = model
self.llm_provider = llm_provider
super().__init__(
self.message, response=response, body=None
) # Call the base class constructor with the parameters it needs
class BadRequestError(BadRequestError): # type: ignore
def __init__(self, message, model, llm_provider, response: httpx.Response):
self.status_code = 400
self.message = message
self.model = model
self.llm_provider = llm_provider
super().__init__(
self.message, response=response, body=None
) # Call the base class constructor with the parameters it needs
class UnprocessableEntityError(UnprocessableEntityError): # type: ignore
def __init__(self, message, model, llm_provider, response: httpx.Response):
self.status_code = 422
self.message = message
self.model = model
self.llm_provider = llm_provider
super().__init__(
self.message, response=response, body=None
) # Call the base class constructor with the parameters it needs
class Timeout(APITimeoutError): # type: ignore
def __init__(self, message, model, llm_provider):
self.status_code = 408
self.message = message
self.model = model
self.llm_provider = llm_provider
request = httpx.Request(method="POST", url="https://api.openai.com/v1")
super().__init__(
request=request
) # Call the base class constructor with the parameters it needs
class RateLimitError(RateLimitError): # type: ignore
def __init__(self, message, llm_provider, model, response: httpx.Response):
self.status_code = 429
self.message = message
self.llm_provider = llm_provider
self.modle = model
super().__init__(
self.message, response=response, body=None
) # Call the base class constructor with the parameters it needs
# sub class of rate limit error - meant to give more granularity for error handling context window exceeded errors
class ContextWindowExceededError(BadRequestError): # type: ignore
def __init__(self, message, model, llm_provider, response: httpx.Response):
self.status_code = 400
self.message = message
self.model = model
self.llm_provider = llm_provider
super().__init__(
message=self.message,
model=self.model, # type: ignore
llm_provider=self.llm_provider, # type: ignore
response=response,
) # Call the base class constructor with the parameters it needs
class ContentPolicyViolationError(BadRequestError): # type: ignore
# Error code: 400 - {'error': {'code': 'content_policy_violation', 'message': 'Your request was rejected as a result of our safety system. Image descriptions generated from your prompt may contain text that is not allowed by our safety system. If you believe this was done in error, your request may succeed if retried, or by adjusting your prompt.', 'param': None, 'type': 'invalid_request_error'}}
def __init__(self, message, model, llm_provider, response: httpx.Response):
self.status_code = 400
self.message = message
self.model = model
self.llm_provider = llm_provider
super().__init__(
message=self.message,
model=self.model, # type: ignore
llm_provider=self.llm_provider, # type: ignore
response=response,
) # Call the base class constructor with the parameters it needs
class ServiceUnavailableError(APIStatusError): # type: ignore
def __init__(self, message, llm_provider, model, response: httpx.Response):
self.status_code = 503
self.message = message
self.llm_provider = llm_provider
self.model = model
super().__init__(
self.message, response=response, body=None
) # Call the base class constructor with the parameters it needs
# raise this when the API returns an invalid response object - https://github.com/openai/openai-python/blob/1be14ee34a0f8e42d3f9aa5451aa4cb161f1781f/openai/api_requestor.py#L401
class APIError(APIError): # type: ignore
def __init__(
self, status_code, message, llm_provider, model, request: httpx.Request
):
self.status_code = status_code
self.message = message
self.llm_provider = llm_provider
self.model = model
super().__init__(self.message, request=request, body=None) # type: ignore
# raised if an invalid request (not get, delete, put, post) is made
class APIConnectionError(APIConnectionError): # type: ignore
def __init__(self, message, llm_provider, model, request: httpx.Request):
self.message = message
self.llm_provider = llm_provider
self.model = model
self.status_code = 500
super().__init__(message=self.message, request=request)
# raised if an invalid request (not get, delete, put, post) is made
class APIResponseValidationError(APIResponseValidationError): # type: ignore
def __init__(self, message, llm_provider, model):
self.message = message
self.llm_provider = llm_provider
self.model = model
request = httpx.Request(method="POST", url="https://api.openai.com/v1")
response = httpx.Response(status_code=500, request=request)
super().__init__(response=response, body=None, message=message)
class OpenAIError(OpenAIError): # type: ignore
def __init__(self, original_exception):
self.status_code = original_exception.http_status
super().__init__(
http_body=original_exception.http_body,
http_status=original_exception.http_status,
json_body=original_exception.json_body,
headers=original_exception.headers,
code=original_exception.code,
)
self.llm_provider = "openai"
class BudgetExceededError(Exception):
def __init__(self, current_cost, max_budget):
self.current_cost = current_cost
self.max_budget = max_budget
message = f"Budget has been exceeded! Current cost: {current_cost}, Max budget: {max_budget}"
super().__init__(message)
## DEPRECATED ##
class InvalidRequestError(BadRequestError): # type: ignore
def __init__(self, message, model, llm_provider):
self.status_code = 400
self.message = message
self.model = model
self.llm_provider = llm_provider
super().__init__(
self.message, f"{self.model}"
) # Call the base class constructor with the parameters it needs