c1e50495a9
- 6 model mismatches fixed: product-owner, incident-responder, history-miner, architect-indexer, pipeline-judge, workflow-cross-checker - incident-responder capabilities corrected (was copy-pasted from workflow-cross-checker) - history-miner entry added to capability-index.yaml - LLM Stats API metadata ingested into research-report.json - planner rationale corrected (removed false minimax-m3 "300-agent swarm" claim) - capability-index.yaml: stale qwen3-coder:480b fallback_models removed (4 agents) - capability-index.yaml: duplicate kimi-k2.6 entry removed (evolution-prompt) - sync-agents.cjs --check: zero violations
60 lines
3.3 KiB
JSON
60 lines
3.3 KiB
JSON
{
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"ts": "2026-06-01T21:30:00Z",
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"event": "evolution_complete_report",
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"trigger": "user_request_objective_evolution",
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"methodology": "capability-analyst_research_report + deterministic_sync + code_skeptic_review",
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"agents_changed": 32,
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"model_distribution": {
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"deepseek-v4-pro": 16,
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"minimax-m3:cloud": 10,
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"glm-5.1": 5,
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"kimi-k2.6": 5,
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"minimax-m2.5:cloud": 3
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},
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"evidence_file": "agent-evolution/data/research-report.json",
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"evidence_sources": [
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"github.com/MoonshotAI/Kimi-K2",
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"ollama.com/library/deepseek-v4-pro",
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"ollama.com/library/glm-5.1",
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"ollama.com/library/kimi-k2.6",
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"ollama.com/library/minimax-m3",
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"ollama.com/library/minimax-m2.5",
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"minimax.io/models/text/m3",
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"minimax.io/news/minimax-m25",
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"qwenlm.github.io/blog/qwen3-coder",
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"api.llm-stats.com/v1/ (pricing/provider metadata only, no benchmark scores)"
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],
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"code_skeptic_findings": {
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"issues_fixed": [
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"incident-responder in capability-index.yaml had copy-pasted workflow-cross-checker capabilities; replaced with correct incident_response capabilities",
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"removed orphaned 'workflow-cross-checker: null' field and unjustified 'variant: thinking' from incident-responder",
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"added missing history-miner entry to capability-index.yaml",
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"3 model mismatches fixed: product-owner (kimi-k2.6 → minimax-m2.5:cloud), incident-responder (deepseek-v4-pro → glm-5.1), history-miner (qwen3-coder:480b → deepseek-v4-pro)",
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"3 additional mismatches fixed: architect-indexer, pipeline-judge, workflow-cross-checker (all qwen3-coder:480b → deepseek-v4-pro)"
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],
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"total_model_mismatches_fixed": 6
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},
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"opencompass_container": {
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"files": ["docker/docker-compose.opencompass.yml", "docker/Dockerfile.opencompass", "scripts/opencompass-eval.sh", "scripts/opencompass-setup.sh"],
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"status": "config_complete_build_blocked_network",
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"note": "Docker build requires internet access for pip install. Files validated and ready. Not needed — no benchmark endpoint available."
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},
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"llm_stats_api": {
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"status": "pricing_registry_only",
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"benchmarks_available": false,
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"models_with_metadata": ["deepseek-v4-pro-max", "glm-5.1", "kimi-k2.6", "minimax-m2.5", "minimax-m2.7"],
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"models_not_found": ["minimax-m3", "qwen3-coder-480b"],
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"finding": "LLM Stats API (api.llm-stats.com/v1/) provides model registry, pricing, provider metadata, and param_count but has NO benchmark score endpoints. Manual research remains the sole source of benchmark data."
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},
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"data_gaps": [
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"minimax-m3: Not found in LLM Stats API. ALL benchmark tables on ollama.com and minimax.io are IMAGE-ONLY. Specific coding scores unavailable.",
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"qwen3-coder-480b: Not found in LLM Stats API. ALL benchmarks image-only. No longer assigned to any agent.",
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"kimi-k2.6: Ollama page image-only. Using K2 Instruct as proxy (likely understates performance). API provides pricing/providers.",
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"minimax-m2.5: Ollama images + partial blog text. Reasoning benchmarks missing. API provides pricing/providers and a 1M context discrepancy (manual said 198K, API shows 1M).",
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"minimax-m2.7: Not in manual research. Found in API with release_date 2026-03-18. param_count null in API. SWE-Pro 56.22% from API description."
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],
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"verification": "scripts/sync-agents.cjs --check PASSED",
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"total_agents_assigned": 36,
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"zero_unassigned": true
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}
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