openclaw - 💡(How to fix) Fix 2 local models on 2 local server ? [1 participants]

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openclaw/openclaw#68720Fetched 2026-04-19 15:08:19
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I've tried setting up 2 local server and it's all most impossible , so instead of one local and one cloud they should be a easy way to set up a second local sever .

Root Cause

I've tried setting up 2 local server and it's all most impossible , so instead of one local and one cloud they should be a easy way to set up a second local sever .

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Summary

I've tried setting up 2 local server and it's all most impossible , so instead of one local and one cloud they should be a easy way to set up a second local sever .

Problem to solve

if you want all local you will set up 2 models , 1 quick 4b model for chat and a second 20-40b model for coding etc , but you have problem if both models get activated eg using the small chat model while the heartbeat kicks in using the big model . This gives problem in tool calling where it thinks it's made the 2 call .

Proposed solution

make a easy way in add a second local LLM server by using openclaw configure to merge two end-point like 192.168.0.34 and 192,168.0.134 , or even use 1 model using the gpu and the second one on a VM using the cpu.

Alternatives considered

No response

Impact

who would it affect ? people who wish to go 100% local and want to use a small and large model .

Evidence/examples

All I can say is I was trying to make a skill on a small 3b model while the 31b was the default , it would or could not call tools correctly , I had make it try 6 time before it would use a tool .

Additional information

No response

extent analysis

TL;DR

To resolve the issue of conflicting model activations, consider configuring OpenCLAW to merge two endpoints for separate local LLM servers.

Guidance

  • Investigate using OpenCLAW to configure multiple local LLM servers with distinct endpoints, such as 192.168.0.34 and 192.168.0.134, to avoid conflicts between models.
  • Explore the possibility of using one model on a GPU and the second model on a VM using the CPU to separate their operations and reduce interference.
  • Verify that the issue is indeed caused by both models being activated simultaneously, and test the proposed solution to ensure it resolves the tool-calling problems.
  • Consider testing with different model combinations, such as a 4b model for chat and a 20-40b model for coding, to identify the optimal setup for local LLM servers.

Example

No code snippet is provided as the issue does not contain specific code references.

Notes

The proposed solution relies on the assumption that OpenCLAW can be configured to merge multiple endpoints, which may require further investigation and testing to confirm its feasibility.

Recommendation

Apply a workaround by configuring OpenCLAW to merge multiple endpoints for separate local LLM servers, as this approach may help resolve the conflicting model activation issue without requiring significant changes to the existing setup.

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openclaw - 💡(How to fix) Fix 2 local models on 2 local server ? [1 participants]