Audit Logging & Traceability
Track, monitor, and analyze every agent action to ensure accountability, compliance, and continuous improvement
Your Progress
0 / 5 completedStructured Logging
Structured logs use consistent formats (like JSON) with well-defined fields, making them machine-readable and easy to query. Unlike free-form text logs, structured logs enable automated analysis, filtering, and alerting. Every log entry should include standard fields plus context-specific data.
❌ Unstructured (Bad)
Agent executed query at 2:30pm for user John
Hard to parse, inconsistent format, missing critical details
✅ Structured (Good)
{
"timestamp": "2025-11-18T14:30:00Z",
"agent_id": "agent-5f3a",
"action": "execute_query",
"user_id": "user-8b2c"
}Machine-readable, consistent, complete
Interactive: Build a Log Entry
Select fields and format to create a structured log entry:
1. Select Log Format
2. Choose Fields to Include
3. Generated Log Entry
{
"timestamp": "2025-11-18T14:32:45.123Z",
"level": "INFO",
"agent_id": "agent-5f3a",
"action": "execute_query",
"status": "success"
}Standard Field Guidelines
ISO 8601 format with timezone (e.g., 2025-11-18T14:32:45.123Z)
DEBUG, INFO, WARN, ERROR (use consistently)
agent_id, user_id, session_id, request_id for tracing
What happened, what tool was used, what parameters
JSON is preferred because it's self-describing, supports nested data, and integrates with modern log aggregation tools (Elasticsearch, CloudWatch, Datadog). Plain text is simpler but harder to query. Choose JSON unless you have strong reasons not to.