openclaw - 💡(How to fix) Fix Feature Request: Automatic Token-Based Model Failover [1 participants]

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openclaw/openclaw#71770Fetched 2026-04-26 05:08:37
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As discussed with the user (Bhushan), OpenClaw would benefit from a feature that automatically switches between configured LLM providers (e.g., Gemini and OpenAI) based on real-time token consumption thresholds. \n\nProblem: Users currently have to manually monitor and switch models to optimize for cost or API limits. \n\nProposed Solution:\n\n1. Configurable Thresholds: Allow users to set token consumption (or cost) thresholds for primary and fallback models (e.g., "switch to OpenAI when Gemini 90% consumed").\n2. Ordered Failover: Define a primary model and one or more fallback models. When the primary hits its threshold, OpenClaw automatically switches to the next available fallback. \n3. Reverse Failover (Optional): Once the primary's token usage resets or falls below a certain threshold, OpenClaw could automatically revert to the primary. \n4. Notifications: Notify the user when a failover occurs. \n\nBenefits:\n\n* Improved cost management for users with multiple API keys.\n* Seamless continuity for long-running tasks or high-volume usage.\n* Reduced manual intervention.\n\nThis feature would significantly enhance OpenClaw's resource management and user experience.\n

extent analysis

TL;DR

Implementing a feature to automatically switch between LLM providers based on token consumption thresholds can help optimize cost and reduce manual intervention.

Guidance

  • Define configurable thresholds for primary and fallback models to trigger automatic switching.
  • Develop an ordered failover mechanism to switch to the next available fallback model when the primary model reaches its threshold.
  • Consider implementing reverse failover to revert to the primary model when its token usage resets or falls below a certain threshold.
  • Integrate notifications to inform users when a failover occurs.

Example

No code snippet is provided as the issue focuses on the feature proposal rather than implementation details.

Notes

The proposed solution assumes that the token consumption data is available and can be accurately tracked. The implementation may require additional considerations, such as handling multiple API keys, tracking token usage, and ensuring seamless continuity for long-running tasks.

Recommendation

Apply workaround: Implementing the proposed feature as described can help optimize cost and reduce manual intervention, making it a worthwhile workaround until a more comprehensive solution is available.

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openclaw - 💡(How to fix) Fix Feature Request: Automatic Token-Based Model Failover [1 participants]