Files
llm-connect/llm_connect/exceptions.py
tegwick e499edba90 feat: initial llm-connect package scaffold
Copy markitect.llm module into standalone llm_connect package.
All markitect.* imports replaced with llm_connect.* equivalents.
LLMError base class inlined (no markitect.exceptions dependency).
Verified: from llm_connect import create_adapter works.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-27 07:54:42 +01:00

86 lines
2.2 KiB
Python

"""
LLM-specific exceptions.
"""
from typing import Optional, Dict, Any
class LLMError(Exception):
"""Base exception for all LLM operations."""
def __init__(
self,
message: str,
cause: Optional[Exception] = None,
context: Optional[Dict[str, Any]] = None,
):
super().__init__(message)
self.cause = cause
self.context = context or {}
if cause:
self.__cause__ = cause
def __str__(self) -> str:
base = super().__str__()
if self.context:
ctx = ", ".join(f"{k}={v}" for k, v in self.context.items())
base = f"{base} [Context: {ctx}]"
return base
class LLMConfigurationError(LLMError):
"""Missing API key, invalid model name, or bad provider config."""
pass
class LLMAPIError(LLMError):
"""HTTP-level failure from an LLM provider API.
Attributes:
status_code: HTTP status code (e.g. 500, 502).
response_body: Raw response body text, if available.
"""
def __init__(
self,
message: str,
status_code: int = 0,
response_body: str = "",
cause: Optional[Exception] = None,
context: Optional[Dict[str, Any]] = None,
):
super().__init__(message, cause=cause, context=context)
self.status_code = status_code
self.response_body = response_body
class LLMRateLimitError(LLMAPIError):
"""429 Too Many Requests from the provider."""
pass
class LLMTimeoutError(LLMError):
"""Request or subprocess exceeded the configured timeout."""
pass
class LLMSubprocessError(LLMError):
"""Claude Code CLI subprocess failed.
Attributes:
return_code: Process exit code.
stderr: Captured stderr text.
"""
def __init__(
self,
message: str,
return_code: int = 1,
stderr: str = "",
cause: Optional[Exception] = None,
context: Optional[Dict[str, Any]] = None,
):
super().__init__(message, cause=cause, context=context)
self.return_code = return_code
self.stderr = stderr