claude-flow
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Ruflo - Enterprise AI agent orchestration for Claude Code. Deploy 60+ specialized agents in coordinated swarms with self-learning, fault-tolerant consensus, vector memory, and MCP integration
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TypeScript
/**
* Smoke tests for gaia-hardness predictor — ADR-136 Track Q
*
* All tests are mock-based (no live API calls, no HF token, $0 cost).
*
* Test matrix:
* 1. Feature extraction: math question fires requiresMath + qword_calc
* 2. Feature extraction: simple factual question has low complexity signal
* 3. Feature extraction: question with file attachment fires has_file_attachment
* 4. Feature extraction: multi-hop question fires multi_hop_signal
* 5. Cold-start fallback: untrained predictor returns medium with confidence=0.5
* 6. Train on mock data: predictor becomes trained after ≥ 10 examples
* 7. Trained predictor: math-heavy question predicts harder than trivial question
* 8. Export/import: weights round-trip through JSON without loss
*
* Refs: ADR-136, #2156
*/
declare function runSmoke(): Promise<void>;
export { runSmoke };
//# sourceMappingURL=predictor.smoke.d.ts.map