利用 Codex 中的 GPT-5.4 实时监控并自动修复智能体间的工作流。

My #1 tip for building agent-to-agent workflows in OpenClaw and Hermes that actually work?

Use the Codex app with GPT-5.4 on extra-high to monitor the workflow while it runs.

GPT-5.4 can watch the intended flow, catch failures, live-code fixes, until it works.

The prompt:

"You are now acting as the runtime monitor and debugger for [specify your workflow] agent-to-agent workflow.

Your job is to observe the workflow as it runs, compare actual behavior to intended behavior, identify where the chain breaks, stalls, loops, drifts, or produces invalid outputs, and fix the system until the workflow completes reliably.

Instructions:
- First, understand the intended workflow and expected end state.
- Then monitor each step, handoff, tool call, and output during runtime.
- If something fails, diagnose the root cause clearly.
- Make the smallest useful code or logic fix possible.
- Rerun the workflow after each fix.
- Continue this loop until the workflow reaches the intended outcome reliably.
- Do not just describe problems. Patch them.
- Do not stop at the first success if the workflow still looks fragile. Look for weak points and stabilize them.
- Log:
1. intended flow
2. observed failures
3. root cause
4. fix applied
5. result after rerun
6. remaining risks

The goal is not to theorize. The goal is to get this workflow working."

Use this prompt to get your agents talking to each other, building things together, and achieve the high-impact workflows you desire.