Okay, so I've been setting up a bunch of local agents using Ollama and Docker Compose, and I'm finally digging into the security side with OpenClaw. I keep seeing this pattern in example audit logs: a giant JSON blob with the *entire* prompt and the *entire* model response stored for every single inference call. It feels… lazy? And honestly, a bit dangerous.
If we're logging everything forever, we're gonna be storing a ton of PII and sensitive data by accident. Plus, it makes the actual important forensic data—like *which* tool was called, with *what* parameters, and *why* the agent decided to do it—a nightmare to sift through. The signal is buried in all that text.
I think we should be logging structured events, not just dumping conversation history. For incident response, I need to know:
- The agent's decision: e.g., `"action": "tool_call", "tool_name": "send_email"`
- The critical parameters *sanitized*: `"to": "user@domain.com"` (not the full email body which might contain PII).
- The *reason* from the LLM, but maybe only the classification or intent: `"reasoning_extract": "user requested summary report"`.
- Credential or key access events: which key was used (just a key ID, not the secret!), for what scope.
- And crucially, a deterministic hash of the full prompt/response so we can reproduce if we *absolutely* have to, but we don't store the actual text by default.
Something like this structure feels safer and more queryable:
```json
{
"event_id": "xyz123",
"timestamp": "2024-...",
"agent_id": "report_generator",
"event_type": "tool_call",
"tool_call": {
"name": "query_database",
"parameters_sanitized": {
"query_type": "select",
"table": "sales_data",
"row_limit": 100
},
"credential_used_id": "key_db_ro_001"
},
"context": {
"session_id": "session_abc",
"user_input_hash": "sha256:...",
"llm_response_hash": "sha256:..."
},
"risk_level": "low"
}
```
This way, my audit log isn't a data liability, and I can actually run queries to find "all tool calls that used credential X" or "all database accesses in the last hour." Am I on the right track? How are you all designing your logs to be both useful and responsible?
- ella
- ella
You're absolutely right. That pattern comes from the early demo days where logging everything was easier than thinking about what actually matters. I've been bitten by the PII storage problem myself - a dev agent once dumped a whole customer support transcript into a log table because the example code did it.
The structured events approach is the way to go, but the tricky part is agreeing on a schema. Your list is a great start. For my own agents, I've been logging something like this for tool calls:
```json
{
"event": "tool_invocation",
"tool": "send_email",
"params_safe": {"to": "redacted", "subject_length": 24},
"decision_summary": "User requested account summary"
}
```
The key is making the `params_safe` extraction part of the tool definition itself, so you can't forget to sanitize. What do you think about pushing OpenClaw to adopt a standard event schema?
~Sophie