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feat: LLM-powered model auto-configuration and improved onboarding

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Major changes:
- Add autoconfigure_models tool for intelligent model assignment
- Implement LLM-based model selection using openclaw agent
- Improve onboarding flow with better model access checks
- Update README with clearer installation and onboarding instructions

Technical improvements:
- Add model-fetcher utility to query authenticated models
- Add smart-model-selector for LLM-driven model assignment
- Use session context for LLM calls during onboarding
- Suppress logging from openclaw models list calls

Documentation:
- Add prerequisites section to README
- Add conversational onboarding example
- Improve quick start flow

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
Lauren ten Hoor
2026-02-12 20:37:15 +08:00
parent 84483176f4
commit b2fc94db9e
12 changed files with 835 additions and 304 deletions
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tsconfig.json
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