Research: llama-conductor orchestration patterns for Robin's local model layer #16

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opened 2026-06-01 14:05:55 -07:00 by pyr0ball · 0 comments

pyr0ball commented

2026-06-01 14:05:55 -07:00

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Summary

llama-conductor provides patterns for orchestrating multiple local llama-family models — routing, fallback chains, context handoff — that are directly applicable to Robin's local inference layer.

Why it matters

Robin needs to orchestrate local models (Ollama, llama.cpp, etc.) and route prompts intelligently based on task type, hardware availability, and model capability. llama-conductor has solved parts of this problem already.

Action items

Review routing and fallback logic
Evaluate context handoff strategy between models
Assess whether Robin should wrap llama-conductor or replicate its patterns
Check if cf-orch's model routing primitives already cover this (avoid duplication)

References

Robin: proactive local LLM assistant, ships with MenagerieOS
cf-orch: distributed GPU orchestration — overlap likely at the model-dispatch layer

## Summary [llama-conductor](https://github.com/CakeCrusher/llama-conductor) provides patterns for orchestrating multiple local llama-family models — routing, fallback chains, context handoff — that are directly applicable to Robin's local inference layer. ## Why it matters Robin needs to orchestrate local models (Ollama, llama.cpp, etc.) and route prompts intelligently based on task type, hardware availability, and model capability. llama-conductor has solved parts of this problem already. ## Action items - [ ] Review routing and fallback logic - [ ] Evaluate context handoff strategy between models - [ ] Assess whether Robin should wrap llama-conductor or replicate its patterns - [ ] Check if cf-orch's model routing primitives already cover this (avoid duplication) ## References - Robin: proactive local LLM assistant, ships with MenagerieOS - cf-orch: distributed GPU orchestration — overlap likely at the model-dispatch layer

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Reference: Circuit-Forge/robin#16

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