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Feature: AI-powered model recommendations for cost optimization #51

@GalDayan

Description

@GalDayan

Feature Request (from @sivan)

Add intelligent model recommendation based on session analysis to optimize token usage and LLM costs.

Requested behavior:
Clawatch should:

  1. Analyze recent sessions and their patterns
  2. Identify opportunities where a cheaper/smaller model could handle the workload
  3. Suggest specific model alternatives that would reduce costs without impacting quality
  4. Show potential savings estimate

Example use cases:

  • Simple queries that don't need GPT-4 → suggest GPT-3.5-turbo
  • Repetitive tasks → suggest cheaper models
  • Sessions with low complexity → recommend cost-effective alternatives

Value:

  • Help users optimize their LLM spending automatically
  • Provide actionable insights on model selection
  • Reduce operational costs without manual analysis

Context:
Requested by Sivan during internal testing feedback session.

Related Slack thread:
https://genwayhq.slack.com/archives/C0AFHCR4933/p1773248511101549


Auto-filed by Dor (PM) on behalf of team feedback

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