Smart Model Router (AutoClaw-style prompt routing) #6

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opened 2026-02-20 08:42:30 +00:00 by nazim · 0 comments
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Summary

Smart model routing — score incoming prompts and route to the optimal LLM tier.

Concept

Based on PPQ's AutoClaw:

  • Score prompts across multiple dimensions (complexity, domain, length, etc.)
  • Route to tiers: cheap/fast → expensive/smart
  • Sub-millisecond routing decision
  • Configurable profiles: auto (balanced), eco (cost), premium (quality)

For Cobot

A model-router plugin or enhancement to the PPQ provider:

  1. Analyze incoming message before LLM call
  2. Select optimal model based on prompt complexity
  3. Log which model was used and why

Benefits

  • Cost reduction: most messages don't need the best model
  • Latency reduction: simpler prompts get faster models
  • Transparent: per-message model selection logging

Open Questions

  • Can PPQ's autoclaw work as a standalone classifier?
  • Local alternative via Ollama for classification?
  • Per-channel model preferences (DMs = premium, group = eco)?
## Summary Smart model routing — score incoming prompts and route to the optimal LLM tier. ## Concept Based on PPQ's AutoClaw: - Score prompts across multiple dimensions (complexity, domain, length, etc.) - Route to tiers: cheap/fast → expensive/smart - Sub-millisecond routing decision - Configurable profiles: auto (balanced), eco (cost), premium (quality) ## For Cobot A `model-router` plugin or enhancement to the PPQ provider: 1. Analyze incoming message before LLM call 2. Select optimal model based on prompt complexity 3. Log which model was used and why ## Benefits - **Cost reduction:** most messages don't need the best model - **Latency reduction:** simpler prompts get faster models - **Transparent:** per-message model selection logging ## Open Questions - Can PPQ's autoclaw work as a standalone classifier? - Local alternative via Ollama for classification? - Per-channel model preferences (DMs = premium, group = eco)?
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ultanio/cobot#6
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