pydantic_ai.exceptions
ModelRetry
Bases: Exception
Exception to raise when a tool function should be retried.
The agent will return the message to the model and ask it to try calling the function/tool again.
Source code in pydantic_ai_slim/pydantic_ai/exceptions.py
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__get_pydantic_core_schema__
classmethod
Pydantic core schema to allow ModelRetry
to be (de)serialized.
Source code in pydantic_ai_slim/pydantic_ai/exceptions.py
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CallDeferred
Bases: Exception
Exception to raise when a tool call should be deferred.
See tools docs for more information.
Source code in pydantic_ai_slim/pydantic_ai/exceptions.py
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ApprovalRequired
Bases: Exception
Exception to raise when a tool call requires human-in-the-loop approval.
See tools docs for more information.
Source code in pydantic_ai_slim/pydantic_ai/exceptions.py
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UserError
Bases: RuntimeError
Error caused by a usage mistake by the application developer — You!
Source code in pydantic_ai_slim/pydantic_ai/exceptions.py
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AgentRunError
Bases: RuntimeError
Base class for errors occurring during an agent run.
Source code in pydantic_ai_slim/pydantic_ai/exceptions.py
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UsageLimitExceeded
Bases: AgentRunError
Error raised when a Model's usage exceeds the specified limits.
Source code in pydantic_ai_slim/pydantic_ai/exceptions.py
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UnexpectedModelBehavior
Bases: AgentRunError
Error caused by unexpected Model behavior, e.g. an unexpected response code.
Source code in pydantic_ai_slim/pydantic_ai/exceptions.py
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ModelHTTPError
Bases: AgentRunError
Raised when an model provider response has a status code of 4xx or 5xx.
Source code in pydantic_ai_slim/pydantic_ai/exceptions.py
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message
instance-attribute
message: str
The error message with the status code and response body, if available.
status_code
instance-attribute
status_code: int = status_code
The HTTP status code returned by the API.
model_name
instance-attribute
model_name: str = model_name
The name of the model associated with the error.
FallbackExceptionGroup
Bases: ExceptionGroup
A group of exceptions that can be raised when all fallback models fail.
Source code in pydantic_ai_slim/pydantic_ai/exceptions.py
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