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c1feb60 e4a41fa c1feb60 e4a41fa c1feb60 e4a41fa c1feb60 e4a41fa c1feb60 e4a41fa c1feb60 e4a41fa c1feb60 e4a41fa c1feb60 e4a41fa c1feb60 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 | """Custom exceptions for Headroom.
This module provides explicit exception classes for better error handling
and debugging. All exceptions inherit from HeadroomError, making it easy
to catch all Headroom-related errors.
Example:
from headroom import HeadroomClient, HeadroomError, ConfigurationError
try:
client = HeadroomClient(...)
client.validate_setup()
except ConfigurationError as e:
print(f"Configuration problem: {e}")
except HeadroomError as e:
print(f"Headroom error: {e}")
"""
from __future__ import annotations
from typing import Any
class HeadroomError(Exception):
"""Base exception for all Headroom errors.
All Headroom exceptions inherit from this class, making it easy
to catch any Headroom-related error:
try:
client.chat.completions.create(...)
except HeadroomError as e:
# Handle any Headroom error
pass
"""
def __init__(self, message: str, details: dict[str, Any] | None = None):
super().__init__(message)
self.message = message
self.details = details or {}
def __str__(self) -> str:
if self.details:
detail_str = ", ".join(f"{k}={v}" for k, v in self.details.items())
return f"{self.message} ({detail_str})"
return self.message
class ConfigurationError(HeadroomError):
"""Raised when Headroom is misconfigured.
This includes:
- Invalid mode values
- Missing required configuration
- Incompatible configuration combinations
Example:
ConfigurationError(
"Invalid mode 'foo'",
details={"valid_modes": ["audit", "optimize"]}
)
"""
pass
class ProviderError(HeadroomError):
"""Raised when there's an issue with the LLM provider.
This includes:
- Provider not recognized
- Provider-specific configuration issues
- Token counter errors
Example:
ProviderError(
"Unknown provider",
details={"provider": "foo", "known_providers": ["openai", "anthropic"]}
)
"""
pass
class StorageError(HeadroomError):
"""Raised when there's an issue with metrics storage.
This includes:
- Database connection failures
- Invalid storage URL
- Write failures
Example:
StorageError(
"Cannot connect to database",
details={"url": "sqlite:///foo.db", "error": "Permission denied"}
)
"""
pass
class CompressionError(HeadroomError):
"""Raised when compression fails.
This includes:
- Parse errors in tool outputs
- Invalid JSON structures
- Compression strategy failures
Example:
CompressionError(
"Failed to parse tool output",
details={"tool_name": "search_api", "content_preview": "..."}
)
"""
pass
class TokenizationError(HeadroomError):
"""Raised when token counting fails.
This includes:
- Unknown model for tokenization
- Encoding errors
- Tiktoken/tokenizer loading failures
Example:
TokenizationError(
"Unknown model for tokenization",
details={"model": "gpt-99", "fallback_used": True}
)
"""
pass
class CacheError(HeadroomError):
"""Raised when caching operations fail.
This includes:
- Cache store errors
- Retrieval failures
- CCR (Compress-Cache-Retrieve) errors
Example:
CacheError(
"Cache entry expired",
details={"hash": "abc123", "ttl": 300}
)
"""
pass
class ValidationError(HeadroomError):
"""Raised when setup validation fails.
This is raised by validate_setup() when the configuration
or environment is not properly set up.
Example:
ValidationError(
"Setup validation failed",
details={
"provider_ok": True,
"storage_ok": False,
"storage_error": "Cannot write to database"
}
)
"""
pass
class TransformError(HeadroomError):
"""Raised when a transform fails to apply.
This includes:
- SmartCrusher failures
- RollingWindow errors
- Pipeline errors
Example:
TransformError(
"Transform failed",
details={"transform": "smart_crusher", "reason": "..."}
)
"""
pass
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