知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
432 lines
14 KiB
Python
432 lines
14 KiB
Python
import ast
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import logging
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import os
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import sys
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from datetime import datetime
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from logging import Formatter
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from typing import Any, Dict, Optional
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from litellm.litellm_core_utils.secret_redaction import redact_string
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from litellm.litellm_core_utils.safe_json_dumps import safe_dumps
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from litellm.litellm_core_utils.safe_json_loads import safe_json_loads
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set_verbose = False
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if set_verbose is True:
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logging.warning(
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"`litellm.set_verbose` is deprecated. Please set `os.environ['LITELLM_LOG'] = 'DEBUG'` for debug logs."
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)
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_ENABLE_SECRET_REDACTION = (
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os.getenv("LITELLM_DISABLE_REDACT_SECRETS", "").lower() != "true"
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)
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def _redact_string(value: str) -> str:
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if not _ENABLE_SECRET_REDACTION:
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return value
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return redact_string(value)
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def redact_secrets(value: str) -> str:
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"""Public API: redact known secret/credential patterns from an arbitrary string.
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Use this for code paths that bypass the logging system — e.g. Slack/Teams
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alerting, HTTP error response bodies, or any other string that may contain
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secrets and will be sent to an external sink.
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Not to be confused with redact_message_input_output_from_logging() in
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litellm_core_utils/redact_messages.py, which redacts LLM prompt/response
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content for privacy — this function redacts credential patterns (API keys,
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PEM blocks, tokens, etc.) by shape.
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"""
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if not _ENABLE_SECRET_REDACTION:
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return value
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return _redact_string(value)
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class SecretRedactionFilter(logging.Filter):
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"""Scrubs known secret/credential patterns from log records."""
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_formatter = logging.Formatter()
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def filter(self, record: logging.LogRecord) -> bool:
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if not _ENABLE_SECRET_REDACTION:
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return True
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try:
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record.msg = _redact_string(record.getMessage())
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record.args = None
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except Exception:
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if isinstance(record.msg, str):
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record.msg = _redact_string(record.msg)
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# Redact exception tracebacks
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if record.exc_info and record.exc_info[1] is not None:
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try:
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record.exc_text = _redact_string(
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self._formatter.formatException(record.exc_info)
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)
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except Exception:
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pass
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# Redact extra fields passed via logger.debug("msg", extra={...})
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for key, value in list(record.__dict__.items()):
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if key not in _STANDARD_RECORD_ATTRS and isinstance(value, str):
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setattr(record, key, _redact_string(value))
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return True
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_secret_filter = SecretRedactionFilter()
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json_logs = bool(os.getenv("JSON_LOGS", False))
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# Create a handler for the logger (you may need to adapt this based on your needs)
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log_level = os.getenv("LITELLM_LOG", "DEBUG")
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numeric_level: str = getattr(logging, log_level.upper())
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handler = logging.StreamHandler()
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handler.setLevel(numeric_level)
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handler.addFilter(_secret_filter)
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def _try_parse_json_message(message: str) -> Optional[Dict[str, Any]]:
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"""
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Try to parse a log message as JSON. Returns parsed dict if valid, else None.
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Handles messages that are entirely valid JSON (e.g. json.dumps output).
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Uses shared safe_json_loads for consistent error handling.
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"""
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if not message or not isinstance(message, str):
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return None
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msg_stripped = message.strip()
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if not (msg_stripped.startswith("{") or msg_stripped.startswith("[")):
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return None
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parsed = safe_json_loads(message, default=None)
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if parsed is None or not isinstance(parsed, dict):
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return None
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return parsed
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def _try_parse_embedded_python_dict(message: str) -> Optional[Dict[str, Any]]:
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"""
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Try to find and parse a Python dict repr (e.g. str(d) or repr(d)) embedded in
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the message. Handles patterns like:
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"get_available_deployment for model: X, Selected deployment: {'model_name': '...', ...} for model: X"
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Uses ast.literal_eval for safe parsing. Returns the parsed dict or None.
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"""
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if not message or not isinstance(message, str) or "{" not in message:
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return None
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i = 0
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while i < len(message):
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start = message.find("{", i)
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if start == -1:
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break
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depth = 0
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for j in range(start, len(message)):
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c = message[j]
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if c == "{":
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depth += 1
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elif c == "}":
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depth -= 1
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if depth == 0:
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substr = message[start : j + 1]
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try:
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result = ast.literal_eval(substr)
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if isinstance(result, dict) and len(result) > 0:
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return result
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except (ValueError, SyntaxError, TypeError):
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pass
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break
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i = start + 1
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return None
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# Standard LogRecord attribute names - used to identify 'extra' fields.
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# Derived at runtime so we automatically include version-specific attrs (e.g. taskName).
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def _get_standard_record_attrs() -> frozenset:
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"""Standard LogRecord attribute names - excludes extra keys from logger.debug(..., extra={...})."""
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return frozenset(logging.LogRecord("", 0, "", 0, "", (), None).__dict__.keys())
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_STANDARD_RECORD_ATTRS = _get_standard_record_attrs()
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class JsonFormatter(Formatter):
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def __init__(self):
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super(JsonFormatter, self).__init__()
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def formatTime(self, record, datefmt=None):
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# Use datetime to format the timestamp in ISO 8601 format
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dt = datetime.fromtimestamp(record.created)
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return dt.isoformat()
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def format(self, record):
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message_str = record.getMessage()
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json_record: Dict[str, Any] = {
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"message": message_str,
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"level": record.levelname,
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"timestamp": self.formatTime(record),
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}
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# Parse embedded JSON or Python dict repr in message so sub-fields become first-class properties
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parsed = _try_parse_json_message(message_str)
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if parsed is None:
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parsed = _try_parse_embedded_python_dict(message_str)
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if parsed is not None:
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for key, value in parsed.items():
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if key not in json_record:
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json_record[key] = value
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# Include extra attributes passed via logger.debug("msg", extra={...})
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for key, value in record.__dict__.items():
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if key not in _STANDARD_RECORD_ATTRS and key not in json_record:
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json_record[key] = value
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# Set component/logger only if not already supplied via extra={...}
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if "component" not in json_record:
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json_record["component"] = record.name
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if "logger" not in json_record:
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json_record["logger"] = f"{record.filename}:{record.lineno}"
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if record.exc_info:
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json_record["stacktrace"] = record.exc_text or self.formatException(
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record.exc_info
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)
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return safe_dumps(json_record)
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# Function to set up exception handlers for JSON logging
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def _setup_json_exception_handlers(formatter):
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# Create a handler with JSON formatting for exceptions
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error_handler = logging.StreamHandler()
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error_handler.setFormatter(formatter)
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error_handler.addFilter(_secret_filter)
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# Setup excepthook for uncaught exceptions
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def json_excepthook(exc_type, exc_value, exc_traceback):
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record = logging.LogRecord(
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name="LiteLLM",
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level=logging.ERROR,
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pathname="",
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lineno=0,
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msg=str(exc_value),
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args=(),
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exc_info=(exc_type, exc_value, exc_traceback),
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)
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error_handler.handle(record)
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sys.excepthook = json_excepthook
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# Configure asyncio exception handler if possible
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try:
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import asyncio
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def async_json_exception_handler(loop, context):
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exception = context.get("exception")
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if exception:
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exc_type = type(exception)
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record = logging.LogRecord(
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name="LiteLLM",
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level=logging.ERROR,
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pathname="",
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lineno=0,
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msg=str(exception),
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args=(),
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exc_info=(exc_type, exception, exception.__traceback__),
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)
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error_handler.handle(record)
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else:
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loop.default_exception_handler(context)
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asyncio.get_event_loop().set_exception_handler(async_json_exception_handler)
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except Exception:
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pass
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# Create a formatter and set it for the handler
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if json_logs:
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handler.setFormatter(JsonFormatter())
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_setup_json_exception_handlers(JsonFormatter())
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else:
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formatter = logging.Formatter(
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"\033[92m%(asctime)s - %(name)s:%(levelname)s\033[0m: %(filename)s:%(lineno)s - %(message)s",
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datefmt="%H:%M:%S",
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)
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handler.setFormatter(formatter)
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verbose_proxy_logger = logging.getLogger("LiteLLM Proxy")
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verbose_router_logger = logging.getLogger("LiteLLM Router")
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verbose_logger = logging.getLogger("LiteLLM")
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# Add the handler to the loggers
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verbose_router_logger.addHandler(handler)
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verbose_proxy_logger.addHandler(handler)
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verbose_logger.addHandler(handler)
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def _suppress_loggers():
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"""Suppress noisy loggers at INFO level"""
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# Suppress httpx request logging at INFO level
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httpx_logger = logging.getLogger("httpx")
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httpx_logger.setLevel(logging.WARNING)
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# Suppress APScheduler logging at INFO level
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apscheduler_executors_logger = logging.getLogger("apscheduler.executors.default")
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apscheduler_executors_logger.setLevel(logging.WARNING)
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apscheduler_scheduler_logger = logging.getLogger("apscheduler.scheduler")
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apscheduler_scheduler_logger.setLevel(logging.WARNING)
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# Call the suppression function
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_suppress_loggers()
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ALL_LOGGERS = [
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logging.getLogger(),
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verbose_logger,
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verbose_router_logger,
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verbose_proxy_logger,
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]
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def _get_loggers_to_initialize():
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"""
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Get all loggers that should be initialized with the JSON handler.
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Includes third-party integration loggers (like langfuse) if they are
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configured as callbacks.
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"""
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import litellm
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loggers = list(ALL_LOGGERS)
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# Add langfuse logger if langfuse is being used as a callback
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langfuse_callbacks = {"langfuse", "langfuse_otel"}
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all_callbacks = set(litellm.success_callback + litellm.failure_callback)
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if langfuse_callbacks & all_callbacks:
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loggers.append(logging.getLogger("langfuse"))
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return loggers
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def _initialize_loggers_with_handler(handler: logging.Handler):
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"""
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Initialize all loggers with a handler
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- Adds a handler to each logger
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- Prevents bubbling to parent/root (critical to prevent duplicate JSON logs)
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"""
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handler.addFilter(_secret_filter)
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for lg in _get_loggers_to_initialize():
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lg.handlers.clear() # remove any existing handlers
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lg.addHandler(handler) # add JSON formatter handler
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lg.propagate = False # prevent bubbling to parent/root
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def _get_uvicorn_json_log_config():
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"""
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Generate a uvicorn log_config dictionary that applies JSON formatting to all loggers.
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This ensures that uvicorn's access logs, error logs, and all application logs
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are formatted as JSON when json_logs is enabled.
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"""
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json_formatter_class = "litellm._logging.JsonFormatter"
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# Use the module-level log_level variable for consistency
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uvicorn_log_level = log_level.upper()
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log_config = {
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"version": 1,
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"disable_existing_loggers": False,
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"formatters": {
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"json": {
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"()": json_formatter_class,
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},
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"default": {
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"()": json_formatter_class,
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},
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"access": {
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"()": json_formatter_class,
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},
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},
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"handlers": {
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"default": {
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"formatter": "json",
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"class": "logging.StreamHandler",
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"stream": "ext://sys.stdout",
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},
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"access": {
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"formatter": "access",
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"class": "logging.StreamHandler",
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"stream": "ext://sys.stdout",
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},
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},
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"loggers": {
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"uvicorn": {
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"handlers": ["default"],
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"level": uvicorn_log_level,
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"propagate": False,
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},
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"uvicorn.error": {
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"handlers": ["default"],
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"level": uvicorn_log_level,
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"propagate": False,
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},
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"uvicorn.access": {
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"handlers": ["access"],
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"level": uvicorn_log_level,
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"propagate": False,
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},
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},
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}
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return log_config
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def _turn_on_json():
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"""
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Turn on JSON logging
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- Adds a JSON formatter to all loggers
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"""
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handler = logging.StreamHandler()
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handler.setFormatter(JsonFormatter())
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_initialize_loggers_with_handler(handler)
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# Set up exception handlers
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_setup_json_exception_handlers(JsonFormatter())
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def _turn_on_debug():
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verbose_logger.setLevel(level=logging.DEBUG) # set package log to debug
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verbose_router_logger.setLevel(level=logging.DEBUG) # set router logs to debug
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verbose_proxy_logger.setLevel(level=logging.DEBUG) # set proxy logs to debug
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def _disable_debugging():
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"""Disable the package, router, and proxy verbose loggers."""
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verbose_logger.disabled = True
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verbose_router_logger.disabled = True
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verbose_proxy_logger.disabled = True
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def _enable_debugging():
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verbose_logger.disabled = False
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verbose_router_logger.disabled = False
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verbose_proxy_logger.disabled = False
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def print_verbose(print_statement):
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try:
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if set_verbose:
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print(redact_secrets(str(print_statement))) # noqa: T201
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except Exception:
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pass
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def _is_debugging_on() -> bool:
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"""
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Returns True if debugging is on
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"""
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return verbose_logger.isEnabledFor(logging.DEBUG) or set_verbose is True
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