openclaw - 💡(How to fix) Fix Codex profile rotation skips remaining profiles and jumps to fallback model chain on rate limit [1 comments, 1 participants]

When a Codex profile in the rotation order returns a rate limit error, OpenClaw skips the remaining profiles in the rotation and immediately escalates to the next model in the fallback chain (e.g., from gpt-5.3-codex to *next_fallback_model*), rather than continuing to try the remaining profiles in the current model's auth rotation. The rate limit error appears to be treated as a hard failure that short-circuits the auth rotation loop and moves to the next fallback model, rather than as a retryable condition that should advance the profile rotation. This means even when healthy profiles exist later in the rotation, they are never tried.

TL;DR

Modify the OpenClaw configuration to treat rate limit errors as retryable conditions that advance the profile rotation instead of immediately escalating to the next fallback model.

Guidance

• Review the OpenClaw configuration to ensure that rate limit errors are handled as retryable conditions, allowing the system to rotate through all profiles in the models auth order before escalating to the next model.
• Update the openclaw.json file to reflect the correct rotation order, prioritizing healthy profiles first.
• Consider implementing a more robust rotation strategy that dynamically adjusts the order based on profile health and availability.
• Verify the updated configuration by simulating rate limit errors and observing the system's behavior to ensure it now correctly rotates through profiles before escalating to the next fallback model.

Example

No code snippet is provided as the issue does not explicitly mention specific code changes, but rather a configuration update.

Notes

The suggested fix requires modifying the OpenClaw configuration to change how rate limit errors are handled. This may involve updating the openclaw.json file or adjusting the rotation strategy. The current workaround of reordering the rotation to put healthy profiles first is fragile and requires manual maintenance.

Recommendation

Apply the workaround by reordering the rotation to put healthy profiles first, but also investigate and implement a more robust solution that treats rate limit errors as retryable conditions, allowing the system to dynamically adjust the rotation order based on profile health and availability. This will provide a more reliable and maintainable solution.