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fix - show litellm_debug_info

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This commit is contained in:
Ishaan Jaff 2024-05-15 13:07:04 -07:00
parent efca96baf8
commit 59e18f23e0
3 changed files with 204 additions and 51 deletions
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117
litellm/exceptions.py
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@ -15,11 +15,19 @@ from typing import Optional
class AuthenticationError(openai.AuthenticationError): # type: ignore
def __init__(self, message, llm_provider, model, response: httpx.Response):
def __init__(
self,
message,
llm_provider,
model,
response: httpx.Response,
litellm_debug_info: Optional[str] = None,
):
self.status_code = 401
self.message = message
self.llm_provider = llm_provider
self.model = model
self.litellm_debug_info = litellm_debug_info
super().__init__(
self.message, response=response, body=None
) # Call the base class constructor with the parameters it needs
@ -27,11 +35,19 @@ class AuthenticationError(openai.AuthenticationError): # type: ignore
# raise when invalid models passed, example gpt-8
class NotFoundError(openai.NotFoundError): # type: ignore
def __init__(self, message, model, llm_provider, response: httpx.Response):
def __init__(
self,
message,
model,
llm_provider,
response: httpx.Response,
litellm_debug_info: Optional[str] = None,
):
self.status_code = 404
self.message = message
self.model = model
self.llm_provider = llm_provider
self.litellm_debug_info = litellm_debug_info
super().__init__(
self.message, response=response, body=None
) # Call the base class constructor with the parameters it needs
@ -39,12 +55,18 @@ class NotFoundError(openai.NotFoundError): # type: ignore
class BadRequestError(openai.BadRequestError): # type: ignore
def __init__(
self, message, model, llm_provider, response: Optional[httpx.Response] = None
self,
message,
model,
llm_provider,
response: Optional[httpx.Response] = None,
litellm_debug_info: Optional[str] = None,
):
self.status_code = 400
self.message = message
self.model = model
self.llm_provider = llm_provider
self.litellm_debug_info = litellm_debug_info
response = response or httpx.Response(
status_code=self.status_code,
request=httpx.Request(
@ -57,18 +79,28 @@ class BadRequestError(openai.BadRequestError): # type: ignore
class UnprocessableEntityError(openai.UnprocessableEntityError): # type: ignore
def __init__(self, message, model, llm_provider, response: httpx.Response):
def __init__(
self,
message,
model,
llm_provider,
response: httpx.Response,
litellm_debug_info: Optional[str] = None,
):
self.status_code = 422
self.message = message
self.model = model
self.llm_provider = llm_provider
self.litellm_debug_info = litellm_debug_info
super().__init__(
self.message, response=response, body=None
) # Call the base class constructor with the parameters it needs
class Timeout(openai.APITimeoutError): # type: ignore
def __init__(self, message, model, llm_provider):
def __init__(
self, message, model, llm_provider, litellm_debug_info: Optional[str] = None
):
request = httpx.Request(method="POST", url="https://api.openai.com/v1")
super().__init__(
request=request
@ -77,6 +109,7 @@ class Timeout(openai.APITimeoutError): # type: ignore
self.message = message
self.model = model
self.llm_provider = llm_provider
self.litellm_debug_info = litellm_debug_info
# custom function to convert to str
def __str__(self):
@ -84,22 +117,38 @@ class Timeout(openai.APITimeoutError): # type: ignore
class PermissionDeniedError(openai.PermissionDeniedError): # type:ignore
def __init__(self, message, llm_provider, model, response: httpx.Response):
def __init__(
self,
message,
llm_provider,
model,
response: httpx.Response,
litellm_debug_info: Optional[str] = None,
):
self.status_code = 403
self.message = message
self.llm_provider = llm_provider
self.model = model
self.litellm_debug_info = litellm_debug_info
super().__init__(
self.message, response=response, body=None
) # Call the base class constructor with the parameters it needs
class RateLimitError(openai.RateLimitError): # type: ignore
def __init__(self, message, llm_provider, model, response: httpx.Response):
def __init__(
self,
message,
llm_provider,
model,
response: httpx.Response,
litellm_debug_info: Optional[str] = None,
):
self.status_code = 429
self.message = message
self.llm_provider = llm_provider
self.modle = model
self.litellm_debug_info = litellm_debug_info
super().__init__(
self.message, response=response, body=None
) # Call the base class constructor with the parameters it needs
@ -107,11 +156,19 @@ class RateLimitError(openai.RateLimitError): # type: ignore
# 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):
def __init__(
self,
message,
model,
llm_provider,
response: httpx.Response,
litellm_debug_info: Optional[str] = None,
):
self.status_code = 400
self.message = message
self.model = model
self.llm_provider = llm_provider
self.litellm_debug_info = litellm_debug_info
super().__init__(
message=self.message,
model=self.model, # type: ignore
@ -122,11 +179,19 @@ class ContextWindowExceededError(BadRequestError): # type: ignore
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):
def __init__(
self,
message,
model,
llm_provider,
response: httpx.Response,
litellm_debug_info: Optional[str] = None,
):
self.status_code = 400
self.message = message
self.model = model
self.llm_provider = llm_provider
self.litellm_debug_info = litellm_debug_info
super().__init__(
message=self.message,
model=self.model, # type: ignore
@ -136,11 +201,19 @@ class ContentPolicyViolationError(BadRequestError): # type: ignore
class ServiceUnavailableError(openai.APIStatusError): # type: ignore
def __init__(self, message, llm_provider, model, response: httpx.Response):
def __init__(
self,
message,
llm_provider,
model,
response: httpx.Response,
litellm_debug_info: Optional[str] = None,
):
self.status_code = 503
self.message = message
self.llm_provider = llm_provider
self.model = model
self.litellm_debug_info = litellm_debug_info
super().__init__(
self.message, response=response, body=None
) # Call the base class constructor with the parameters it needs
@ -149,33 +222,51 @@ class ServiceUnavailableError(openai.APIStatusError): # type: ignore
# 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(openai.APIError): # type: ignore
def __init__(
self, status_code, message, llm_provider, model, request: httpx.Request
self,
status_code,
message,
llm_provider,
model,
request: httpx.Request,
litellm_debug_info: Optional[str] = None,
):
self.status_code = status_code
self.message = message
self.llm_provider = llm_provider
self.model = model
self.litellm_debug_info = litellm_debug_info
super().__init__(self.message, request=request, body=None) # type: ignore
# raised if an invalid request (not get, delete, put, post) is made
class APIConnectionError(openai.APIConnectionError): # type: ignore
def __init__(self, message, llm_provider, model, request: httpx.Request):
def __init__(
self,
message,
llm_provider,
model,
request: httpx.Request,
litellm_debug_info: Optional[str] = None,
):
self.message = message
self.llm_provider = llm_provider
self.model = model
self.status_code = 500
self.litellm_debug_info = litellm_debug_info
super().__init__(message=self.message, request=request)
# raised if an invalid request (not get, delete, put, post) is made
class APIResponseValidationError(openai.APIResponseValidationError): # type: ignore
def __init__(self, message, llm_provider, model):
def __init__(
self, message, llm_provider, model, litellm_debug_info: Optional[str] = None
):
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)
self.litellm_debug_info = litellm_debug_info
super().__init__(response=response, body=None, message=message)