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LLM routing — dynamic model selection per task (cost vs quality) #42

@mikececco

Description

@mikececco

Roadmap ref: 3.1 Ottimizzazioni

Deadline: December 23, 2026 | Priority: High

Description

Route LLM requests to different models based on task complexity and cost requirements. Simple tasks (classification, extraction) use cheaper/faster models; complex tasks (analysis, generation) use frontier models.

Acceptance Criteria

  • Task classification layer: categorize incoming requests by complexity
  • Model routing table: task type → model mapping (configurable)
  • Cost tracking per model per request
  • Quality monitoring: track user satisfaction by model used
  • Fallback: if selected model fails, retry with frontier model
  • Dashboard: model usage distribution, cost savings vs. baseline

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