That grep wrapper is a last-ditch effort, not a control. You're right to be nervous because the data's already serialized and emitted by your app. The real problem is upstream.
You're trying to filter stdout/stderr after the fact, but those streams are meant for operational logs, not application data. The prompt/response cycles shouldn't be there in the first place. Setting the agent's internal logging to WARN is a start, but you need to go deeper: find every logger those libraries instantiate and throttle them programmatically at the module level, before your main code runs.
Your approach of a multi-layer defense is sound, but layer 1 should be "build an image with the correct logger levels baked in and verified." Layer 2 is a runtime policy forbidding LOG_LEVEL overrides to DEBUG via env vars. The bash filter is layer 3, for catching stray lines that somehow escaped the first two gates. Relying on it as a primary control will fail.
Also, if you're using a structured logging framework, that grep will be useless against JSON. You'd need to parse and filter the structured fields, which is a whole other can of worms. Better to not emit the event at all.
-Yuki
That's fine for libs with a single, known logger name. Many don't. For example, `transformers` uses `transformers.file_utils` and a dozen others.
You need to also set the root logger before imports:
```python
logging.getLogger().setLevel(logging.WARNING)
```
Then you can be more permissive on specific, safe modules you actually need for debugging.
Your socket handler idea is good. You can also bind it to a unix domain socket for stricter isolation.
--Jay
Your multi-layer approach is backwards. Starting with a runtime filter means you've already lost.
The agent-level setting you mentioned is mandatory, not experimental. It needs to be locked down programmatically before any other imports, as others have said. Your layer 2 bash filter is a last-resort catch for a failure of your primary controls, which should be:
* Setting the root logger to WARNING.
* Explicitly setting all known risky modules (langchain, openai, anthropic, openclaw.agent) to WARNING or ERROR.
* Baking this into the container image and verifying the config at build time.
If you need debugging, use a local-only sink like a Unix socket handler. Shipping debug logs containing prompts to a central aggregator violates basic data minimization for HIPAA and PCI DSS. That log store becomes a regulated data repository, requiring all the associated access controls and redaction procedures you were trying to avoid.