generated from coulomb/repo-seed
Bernd Worsch
f76a58d6e9
- Remove redundant async_execute_prompt overrides from OpenAI/Gemini/OpenRouter adapters (identical to base class default — asyncio import also removed) - Cache prompt.split() result in MockLLMAdapter to avoid double evaluation - Promote deferred LLMBudgetExceededError imports to module level in models.py and adapter.py (no circular dependency) - Auto-populate context dict in LLMBudgetExceededError.__init__ so callers need not pass redundant context= kwarg Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
112 lines
3.0 KiB
Python
112 lines
3.0 KiB
Python
"""
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LLM-specific exceptions.
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"""
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from typing import Optional, Dict, Any
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class LLMError(Exception):
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"""Base exception for all LLM operations."""
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def __init__(
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self,
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message: str,
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cause: Optional[Exception] = None,
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context: Optional[Dict[str, Any]] = None,
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):
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super().__init__(message)
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self.cause = cause
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self.context = context or {}
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if cause:
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self.__cause__ = cause
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def __str__(self) -> str:
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base = super().__str__()
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if self.context:
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ctx = ", ".join(f"{k}={v}" for k, v in self.context.items())
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base = f"{base} [Context: {ctx}]"
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return base
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class LLMConfigurationError(LLMError):
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"""Missing API key, invalid model name, or bad provider config."""
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pass
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class LLMAPIError(LLMError):
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"""HTTP-level failure from an LLM provider API.
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Attributes:
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status_code: HTTP status code (e.g. 500, 502).
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response_body: Raw response body text, if available.
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"""
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def __init__(
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self,
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message: str,
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status_code: int = 0,
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response_body: str = "",
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cause: Optional[Exception] = None,
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context: Optional[Dict[str, Any]] = None,
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):
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super().__init__(message, cause=cause, context=context)
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self.status_code = status_code
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self.response_body = response_body
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class LLMRateLimitError(LLMAPIError):
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"""429 Too Many Requests from the provider."""
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pass
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class LLMTimeoutError(LLMError):
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"""Request or subprocess exceeded the configured timeout."""
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pass
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class LLMBudgetExceededError(LLMError):
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"""Token budget cap exceeded during a call or delegation chain.
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Attributes:
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total: The configured token cap.
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spent: Tokens already consumed before this call.
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requested: Tokens this call would have consumed.
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"""
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def __init__(
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self,
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message: str,
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total: int = 0,
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spent: int = 0,
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requested: int = 0,
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cause: Optional[Exception] = None,
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context: Optional[Dict[str, Any]] = None,
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):
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if context is None:
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context = {"total": total, "spent": spent, "requested": requested}
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super().__init__(message, cause=cause, context=context)
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self.total = total
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self.spent = spent
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self.requested = requested
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class LLMSubprocessError(LLMError):
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"""Claude Code CLI subprocess failed.
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Attributes:
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return_code: Process exit code.
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stderr: Captured stderr text.
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"""
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def __init__(
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self,
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message: str,
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return_code: int = 1,
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stderr: str = "",
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cause: Optional[Exception] = None,
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context: Optional[Dict[str, Any]] = None,
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):
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super().__init__(message, cause=cause, context=context)
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self.return_code = return_code
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self.stderr = stderr
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