Hey everyone, I've been running into something that's a bit concerning and I'm hoping you can help me think it through. I've been using OpenClaw to automate some AWS-related tasks, basically having an agent run a suite of checks and reports daily. It's been working great for weeks!

But yesterday, I was reviewing the full run logs (I save them for debugging) and I noticed something scary. In one specific run out of the last 50, the agent's response from a tool call included a full AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY pair in plain text. It wasn't in every run, just that one single time. The agent was using the `boto3` library via a custom tool to describe some EC2 instances, and for some reason, the key material was echoed back in the JSON response that the LLM saw (and that got logged to my filesystem). I caught it manually, but it got me thinking...

My immediate questions are, how do I even start looking for this kind of intermittent leak? It feels like finding a needle in a haystack. The leak wasn't in the agent's final answer to the user, it was in an intermediate step—the output from the tool that was passed back to the LLM for reasoning. Since I only log the full trace for debugging, it's buried in gigabytes of JSONL files.

I'm wondering what the best practices are here. Should I be scanning all tool outputs with a regex for key patterns before they get to the LLM or into the logs? But then, what if the key is formatted in a weird way or split across lines? Is there a way within OpenClaw to sanitize tool call outputs automatically? Maybe some kind of output filter or middleware?

Also, how do you all handle logging? I feel like I need the detailed logs to debug agent logic, but they suddenly seem like a huge liability. Is there a standard way to redact secrets in logs after the fact, or better yet, prevent them from being written at all?

I'm especially curious if this is a common pattern with certain tools or libraries. Has anyone else seen AWS boto3, or the `requests` library, or shell command outputs accidentally expose secrets in an agent's context? And more importantly, what are the detection strategies? Do I need to write a script to parse 50 days of logs every night, or is there a more elegant solution?

Really appreciate any insights or stories from your own experiences. This seems like a critical thing to get right as we give agents more access to sensitive systems.