64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
from agent_core.results import AgentResult
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from .models import AgentAuditLog
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def create_audit_log(
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scenario_id: str,
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scenario_name: str,
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user_input: str,
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agent_result: AgentResult,
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batch_id: str = "",
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conversation_id: str = "",
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product_name: str = "",
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) -> AgentAuditLog:
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"""
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将一次 Agent 执行结果落库为审计日志。
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设计原则：
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- 成功与失败都必须记录，方便复盘整条执行链路
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- 敏感信息在写库前先脱敏，避免误存 API Key
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- 对前端和 Django Model 统一输出稳定字段
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"""
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return AgentAuditLog.objects.create(
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scenario_id=scenario_id,
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scenario_name=scenario_name,
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batch_id=batch_id,
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conversation_id=conversation_id,
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product_name=product_name,
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user_input=user_input,
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retrieved_chunks=agent_result.references,
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tool_calls=agent_result.tool_calls,
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structured_output=agent_result.structured_output,
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final_answer=agent_result.answer,
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raw_output=agent_result.raw_output,
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model_name=agent_result.model_name,
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latency_ms=max(agent_result.latency_ms, 0),
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status=agent_result.status,
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error_message=mask_sensitive_text(agent_result.error),
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)
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def mask_sensitive_text(value: str) -> str:
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"""
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对错误文本中的敏感配置进行脱敏。
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当前至少处理：
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- `LLM_API_KEY=...`
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- `EMBEDDING_API_KEY=...`
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"""
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masked = value
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for marker in ("LLM_API_KEY=", "EMBEDDING_API_KEY="):
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masked = _mask_token_after_marker(masked, marker)
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return masked
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def _mask_token_after_marker(value: str, marker: str) -> str:
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"""将 marker 后紧跟的 token 替换为脱敏占位符。"""
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if marker not in value:
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return value
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prefix, _, suffix = value.partition(marker)
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secret, separator, rest = suffix.partition(" ")
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masked_secret = "sk-***" if secret.startswith("sk-") else "***"
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return f"{prefix}{marker}{masked_secret}{separator}{rest}"
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