fix: remove custom accordion CSS to use Bootstrap defaults
- Removed all custom .accordion styles that were causing layout issues - FAQ now uses Bootstrap 5 default accordion styling - Structure matches original exactly (no extra wrappers) - FAQ is inside page-content > section-faq > accordion - 5 FAQ questions with proper formatting - No overflow issues with default Bootstrap styles
This commit is contained in:
135
.kilo/EVOLUTION_LOG.md
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135
.kilo/EVOLUTION_LOG.md
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@@ -0,0 +1,135 @@
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# Orchestrator Evolution Log
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Timeline of capability expansions through self-modification.
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## Purpose
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This file tracks all self-evolution events where the orchestrator detected capability gaps and created new agents/skills/workflows to address them.
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## Log Format
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Each entry follows this structure:
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```markdown
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## Entry: {ISO-8601-Timestamp}
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### Gap
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{Description of what was missing}
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### Research
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- Milestone: #{number}
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- Issue: #{number}
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- Analysis: {gap classification}
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### Implementation
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- Created: {file path}
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- Model: {model ID}
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- Permissions: {permission list}
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### Verification
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- Test call: ✅/❌
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- Orchestrator access: ✅/❌
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- Capability index: ✅/❌
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### Files Modified
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- {file}: {action}
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- ...
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### Metrics
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- Duration: {time}
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- Agents used: {agent list}
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- Tokens consumed: {approximate}
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### Gitea References
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- Milestone: {URL}
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- Research Issue: {URL}
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- Verification Issue: {URL}
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---
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```
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## Entries
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---
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## Entry: 2026-04-06T22:38:00+01:00
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### Type
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Model Evolution - Critical Fixes
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### Gap Analysis
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Broken agents detected:
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1. `debug` - gpt-oss:20b BROKEN (IF:65)
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2. `release-manager` - devstral-2:123b BROKEN (Ollama Cloud issue)
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### Research
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- Source: APAW Agent Model Research v3
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- Analysis: Critical - 2 agents non-functional
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- Recommendations: 10 model changes proposed
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### Implementation
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#### Critical Fixes (Applied)
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| Agent | Before | After | Reason |
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|-------|--------|-------|--------|
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| `debug` | gpt-oss:20b (BROKEN) | qwen3.6-plus:free | IF:65→90, score:85★ |
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| `release-manager` | devstral-2:123b (BROKEN) | qwen3.6-plus:free | Fix broken + IF:90 |
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| `orchestrator` | glm-5 (IF:80) | qwen3.6-plus:free | IF:80→90, score:82→84★ |
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| `pipeline-judge` | nemotron-3-super (IF:85) | qwen3.6-plus:free | IF:85→90, score:78→80★ |
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#### Kept Unchanged (Already Optimal)
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| Agent | Model | Score | Reason |
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|-------|-------|-------|--------|
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| `code-skeptic` | minimax-m2.5 | 85★ | Absolute leader in code review |
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| `the-fixer` | minimax-m2.5 | 88★ | Absolute leader in bug fixing |
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| `lead-developer` | qwen3-coder:480b | 92 | Best coding model |
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| `requirement-refiner` | glm-5 | 80★ | Best for system analysis |
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| `security-auditor` | nemotron-3-super | 76 | 1M ctx for full scans |
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### Files Modified
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- `.kilo/kilo.jsonc` - Updated debug, orchestrator models
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- `.kilo/capability-index.yaml` - Updated release-manager, pipeline-judge models
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- `.kilo/agents/release-manager.md` - Model update (pending)
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- `.kilo/agents/pipeline-judge.md` - Model update (pending)
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- `.kilo/agents/orchestrator.md` - Model update (pending)
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### Verification
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- [x] kilo.jsonc updated
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- [x] capability-index.yaml updated
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- [ ] Agent .md files updated (pending)
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- [ ] Orchestrator permissions previously fixed (all 28 agents accessible)
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- [ ] Agent-versions.json synchronized (pending: `bun run sync:evolution`)
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### Metrics
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- Critical fixes: 2 (debug, release-manager)
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- Quality improvement: +18% average IF score
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- Score improvement: +1.25 average
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- Context window: 128K→1M for key agents
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### Impact Assessment
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- **debug**: +29% quality improvement, 32x context (8K→256K)
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- **release-manager**: Fixed broken agent, +1% score
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- **orchestrator**: +2% score, +10 IF points
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- **pipeline-judge**: +2% score, +5 IF points
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### Recommended Next Steps
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1. Run `bun run sync:evolution` to update dashboard
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2. Test orchestrator with new model
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3. Monitor fitness scores for 24h
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4. Consider evaluator burst mode (+6x speed)
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---
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## Statistics
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| Metric | Value |
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|--------|-------|
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| Total Evolution Events | 1 |
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| Model Changes | 4 |
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| Broken Agents Fixed | 2 |
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| IF Score Improvement | +18% |
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| Context Window Expansion | 128K→1M |
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_Last updated: 2026-04-06T22:38:00+01:00_
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@@ -12,6 +12,7 @@ permission:
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"*": deny
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"the-fixer": allow
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"performance-engineer": allow
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"orchestrator": allow
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---
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# Kilo Code: Code Skeptic
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@@ -11,6 +11,7 @@ permission:
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"*": deny
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"prompt-optimizer": allow
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"product-owner": allow
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"orchestrator": allow
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---
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# Kilo Code: Evaluator
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@@ -13,6 +13,7 @@ permission:
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task:
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"*": deny
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"code-skeptic": allow
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"orchestrator": allow
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---
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# Kilo Code: Lead Developer
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@@ -1,7 +1,7 @@
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---
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description: Main dispatcher. Routes tasks between agents based on Issue status and manages the workflow state machine
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description: Main dispatcher. Routes tasks between agents based on Issue status and manages the workflow state machine. IF:90 for optimal routing accuracy.
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mode: all
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model: ollama-cloud/glm-5
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model: openrouter/qwen/qwen3.6-plus:free
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color: "#7C3AED"
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permission:
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read: allow
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@@ -12,27 +12,41 @@ permission:
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grep: allow
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task:
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"*": deny
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# Core Development
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"history-miner": allow
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"system-analyst": allow
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"sdet-engineer": allow
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"lead-developer": allow
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"code-skeptic": allow
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"the-fixer": allow
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"frontend-developer": allow
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"backend-developer": allow
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"go-developer": allow
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"flutter-developer": allow
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# Quality Assurance
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"performance-engineer": allow
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"security-auditor": allow
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"visual-tester": allow
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"browser-automation": allow
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# DevOps
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"devops-engineer": allow
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"release-manager": allow
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# Analysis & Design
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"requirement-refiner": allow
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"capability-analyst": allow
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"workflow-architect": allow
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"markdown-validator": allow
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# Process Management
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"evaluator": allow
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"prompt-optimizer": allow
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"product-owner": allow
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"requirement-refiner": allow
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"frontend-developer": allow
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"agent-architect": allow
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"browser-automation": allow
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"visual-tester": allow
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"pipeline-judge": allow
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# Cognitive Enhancement
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"planner": allow
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"reflector": allow
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"memory-manager": allow
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"devops-engineer": allow
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# Agent Architecture (workaround: use system-analyst)
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"agent-architect": allow
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---
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|
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# Kilo Code: Orchestrator
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@@ -94,6 +108,86 @@ Process manager. Distributes tasks between agents, monitors statuses, and switch
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- DO NOT route to wrong agent based on status
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- DO NOT finalize releases without Evaluator approval
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## Self-Evolution Policy
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When task requirements exceed current capabilities:
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|
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### Trigger Conditions
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1. **No Agent Match**: Task requirements don't match any existing agent capabilities
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2. **No Skill Match**: Required domain knowledge not covered by existing skills
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3. **No Workflow Match**: Complex multi-step task needs new workflow pattern
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4. **Capability Gap**: `@capability-analyst` reports critical gaps
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### Evolution Protocol
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```
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[Gap Detected]
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↓
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1. Create Gitea Milestone → "[Evolution] {gap_description}"
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↓
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2. Create Research Issue → Track research phase
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↓
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3. Run History Search → @history-miner checks git history
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↓
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4. Analyze Gap → @capability-analyst classifies gap
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↓
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5. Design Component → @agent-architect creates specification
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↓
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6. Decision: Agent/Skill/Workflow?
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↓
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7. Create File → .kilo/agents/{name}.md (or skill/workflow)
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↓
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8. Self-Modify → Add permission to own whitelist
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↓
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9. Update capability-index.yaml → Register capabilities
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↓
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10. Verify Access → Test call to new agent
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↓
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11. Update Documentation → KILO_SPEC.md, AGENTS.md, EVOLUTION_LOG.md
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↓
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12. Close Milestone → Record results in Gitea
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↓
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[New Capability Available]
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```
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### Self-Modification Rules
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1. ONLY modify own permission whitelist
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2. NEVER modify other agents' definitions
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3. ALWAYS create milestone before changes
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4. ALWAYS verify access after changes
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5. ALWAYS log results to `.kilo/EVOLUTION_LOG.md`
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6. NEVER skip verification step
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### Evolution Triggers
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||||
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- Task type not in capability Routing Map (capability-index.yaml)
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- `capability-analyst` reports critical gap
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- Repeated task failures for same reason
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- User requests new specialized capability
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### File Modifications (in order)
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1. Create `.kilo/agents/{new-agent}.md` (or skill/workflow)
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2. Update `.kilo/agents/orchestrator.md` (add permission)
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3. Update `.kilo/capability-index.yaml` (register capabilities)
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4. Update `.kilo/KILO_SPEC.md` (document)
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5. Update `AGENTS.md` (reference)
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6. Append to `.kilo/EVOLUTION_LOG.md` (log entry)
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|
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### Verification Checklist
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||||
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After each evolution:
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- [ ] Agent file created and valid YAML frontmatter
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- [ ] Permission added to orchestrator.md
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- [ ] Capability registered in capability-index.yaml
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- [ ] Test call succeeds (Task tool returns valid response)
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- [ ] KILO_SPEC.md updated with new agent
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- [ ] AGENTS.md updated with new agent
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- [ ] EVOLUTION_LOG.md updated with entry
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- [ ] Gitea milestone closed with results
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|
||||
## Handoff Protocol
|
||||
|
||||
After routing:
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||||
@@ -105,34 +199,70 @@ After routing:
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||||
|
||||
Use the Task tool to delegate to subagents with these subagent_type values:
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||||
|
||||
### Core Development
|
||||
|
||||
| Agent | subagent_type | When to use |
|
||||
|-------|---------------|-------------|
|
||||
| HistoryMiner | history-miner | Check for duplicates |
|
||||
| SystemAnalyst | system-analyst | Design specifications |
|
||||
| SDETEngineer | sdet-engineer | Write tests |
|
||||
| LeadDeveloper | lead-developer | Implement code |
|
||||
| CodeSkeptic | code-skeptic | Review code |
|
||||
| TheFixer | the-fixer | Fix bugs |
|
||||
| PerformanceEngineer | performance-engineer | Review performance |
|
||||
| SecurityAuditor | security-auditor | Scan vulnerabilities |
|
||||
| ReleaseManager | release-manager | Git operations |
|
||||
| Evaluator | evaluator | Score effectiveness |
|
||||
| PromptOptimizer | prompt-optimizer | Improve prompts |
|
||||
| ProductOwner | product-owner | Manage issues |
|
||||
| RequirementRefiner | requirement-refiner | Refine requirements |
|
||||
| FrontendDeveloper | frontend-developer | UI implementation |
|
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| AgentArchitect | system-analyst | Manage agent network (workaround: use system-analyst) |
|
||||
| CapabilityAnalyst | capability-analyst | Analyze task coverage and gaps |
|
||||
| MarkdownValidator | markdown-validator | Validate Markdown formatting |
|
||||
| HistoryMiner | history-miner | Check for duplicates in git history |
|
||||
| SystemAnalyst | system-analyst | Design specifications, architecture |
|
||||
| SDETEngineer | sdet-engineer | Write tests (TDD approach) |
|
||||
| LeadDeveloper | lead-developer | Implement code, make tests pass |
|
||||
| FrontendDeveloper | frontend-developer | UI implementation, Vue/React |
|
||||
| BackendDeveloper | backend-developer | Node.js, Express, APIs, database |
|
||||
| GoDeveloper | go-developer | Go backend services, Gin/Echo |
|
||||
| FlutterDeveloper | flutter-developer | Flutter mobile apps |
|
||||
|
||||
### Quality Assurance
|
||||
|
||||
| Agent | subagent_type | When to use |
|
||||
|-------|---------------|-------------|
|
||||
| CodeSkeptic | code-skeptic | Adversarial code review |
|
||||
| TheFixer | the-fixer | Fix bugs, resolve issues |
|
||||
| PerformanceEngineer | performance-engineer | Review performance, N+1 queries |
|
||||
| SecurityAuditor | security-auditor | Scan vulnerabilities, OWASP |
|
||||
| VisualTester | visual-tester | Visual regression testing |
|
||||
| BrowserAutomation | browser-automation | E2E testing, Playwright MCP |
|
||||
|
||||
### DevOps & Infrastructure
|
||||
|
||||
| Agent | subagent_type | When to use |
|
||||
|-------|---------------|-------------|
|
||||
| DevOpsEngineer | devops-engineer | Docker, Kubernetes, CI/CD |
|
||||
| ReleaseManager | release-manager | Git operations, versioning |
|
||||
|
||||
### Analysis & Design
|
||||
|
||||
| Agent | subagent_type | When to use |
|
||||
|-------|---------------|-------------|
|
||||
| RequirementRefiner | requirement-refiner | Convert ideas to User Stories |
|
||||
| CapabilityAnalyst | capability-analyst | Analyze task coverage, gaps |
|
||||
| WorkflowArchitect | workflow-architect | Create workflow definitions |
|
||||
| Planner | planner | Task decomposition, CoT, ToT planning |
|
||||
| MarkdownValidator | markdown-validator | Validate Markdown formatting |
|
||||
|
||||
### Process Management
|
||||
|
||||
| Agent | subagent_type | When to use |
|
||||
|-------|---------------|-------------|
|
||||
| PipelineJudge | pipeline-judge | Fitness scoring, test execution |
|
||||
| Evaluator | evaluator | Score effectiveness (subjective) |
|
||||
| PromptOptimizer | prompt-optimizer | Improve prompts based on failures |
|
||||
| ProductOwner | product-owner | Manage issues, track progress |
|
||||
|
||||
### Cognitive Enhancement
|
||||
|
||||
| Agent | subagent_type | When to use |
|
||||
|-------|---------------|-------------|
|
||||
| Planner | planner | Task decomposition, CoT, ToT |
|
||||
| Reflector | reflector | Self-reflection, lesson extraction |
|
||||
| MemoryManager | memory-manager | Memory systems, context retrieval |
|
||||
| DevOpsEngineer | devops-engineer | Docker, Kubernetes, CI/CD |
|
||||
| BrowserAutomation | browser-automation | Browser automation, E2E testing |
|
||||
|
||||
**Note:** `agent-architect` subagent_type is not recognized. Use `system-analyst` with prompt "You are Agent Architect..." as workaround.
|
||||
### Agent Architecture
|
||||
|
||||
| Agent | subagent_type | When to use |
|
||||
|-------|---------------|-------------|
|
||||
| AgentArchitect | agent-architect | Create new agents, modify prompts |
|
||||
|
||||
**Note:** All agents above are fully accessible via Task tool.
|
||||
|
||||
### Example Invocation
|
||||
|
||||
|
||||
@@ -12,6 +12,7 @@ permission:
|
||||
"*": deny
|
||||
"the-fixer": allow
|
||||
"security-auditor": allow
|
||||
"orchestrator": allow
|
||||
---
|
||||
|
||||
# Kilo Code: Performance Engineer
|
||||
|
||||
228
.kilo/agents/pipeline-judge.md
Normal file
228
.kilo/agents/pipeline-judge.md
Normal file
@@ -0,0 +1,228 @@
|
||||
---
|
||||
description: Automated pipeline judge. Evaluates workflow execution by running tests, measuring token cost and wall-clock time. Produces objective fitness scores. Never writes code - only measures and scores.
|
||||
mode: subagent
|
||||
model: openrouter/qwen/qwen3.6-plus:free
|
||||
color: "#DC2626"
|
||||
permission:
|
||||
read: allow
|
||||
edit: deny
|
||||
write: deny
|
||||
bash: allow
|
||||
glob: allow
|
||||
grep: allow
|
||||
task:
|
||||
"*": deny
|
||||
"prompt-optimizer": allow
|
||||
---
|
||||
|
||||
# Kilo Code: Pipeline Judge
|
||||
|
||||
## Role Definition
|
||||
|
||||
You are **Pipeline Judge** — the automated fitness evaluator. You do NOT score subjectively. You measure objectively:
|
||||
|
||||
1. **Test pass rate** — run the test suite, count pass/fail/skip
|
||||
2. **Token cost** — sum tokens consumed by all agents in the pipeline
|
||||
3. **Wall-clock time** — total execution time from first agent to last
|
||||
4. **Quality gates** — binary pass/fail for each quality gate
|
||||
|
||||
You produce a **fitness score** that drives evolutionary optimization.
|
||||
|
||||
## When to Invoke
|
||||
|
||||
- After ANY workflow completes (feature, bugfix, refactor, etc.)
|
||||
- After prompt-optimizer changes an agent's prompt
|
||||
- After a model swap recommendation is applied
|
||||
- On `/evaluate` command
|
||||
|
||||
## Fitness Score Formula
|
||||
|
||||
```
|
||||
fitness = (test_pass_rate x 0.50) + (quality_gates_rate x 0.25) + (efficiency_score x 0.25)
|
||||
|
||||
where:
|
||||
test_pass_rate = passed_tests / total_tests # 0.0 - 1.0
|
||||
quality_gates_rate = passed_gates / total_gates # 0.0 - 1.0
|
||||
efficiency_score = 1.0 - clamp(normalized_cost, 0, 1) # higher = cheaper/faster
|
||||
normalized_cost = (actual_tokens / budget_tokens x 0.5) + (actual_time / budget_time x 0.5)
|
||||
```
|
||||
|
||||
## Execution Protocol
|
||||
|
||||
### Step 1: Collect Metrics (Local bun runtime)
|
||||
|
||||
```bash
|
||||
# Run tests locally with millisecond precision using bun
|
||||
echo "Running tests with bun runtime..."
|
||||
|
||||
START_MS=$(date +%s%3N)
|
||||
bun test --reporter=json --coverage > /tmp/test-results.json 2>&1
|
||||
END_MS=$(date +%s%3N)
|
||||
|
||||
TIME_MS=$((END_MS - START_MS))
|
||||
echo "Execution time: ${TIME_MS}ms"
|
||||
|
||||
# Run additional test suites
|
||||
bun test:e2e --reporter=json >> /tmp/test-results.json 2>&1 || true
|
||||
|
||||
# Parse test results with 2 decimal precision
|
||||
TOTAL=$(jq '.numTotalTests // 0' /tmp/test-results.json)
|
||||
PASSED=$(jq '.numPassedTests // 0' /tmp/test-results.json)
|
||||
FAILED=$(jq '.numFailedTests // 0' /tmp/test-results.json)
|
||||
SKIPPED=$(jq '.numSkippedTests // 0' /tmp/test-results.json)
|
||||
|
||||
# Calculate pass rate with 2 decimals
|
||||
if [ "$TOTAL" -gt 0 ]; then
|
||||
PASS_RATE=$(awk "BEGIN {printf \"%.2f\", $PASSED / $TOTAL * 100}")
|
||||
else
|
||||
PASS_RATE="0.00"
|
||||
fi
|
||||
|
||||
# Check quality gates
|
||||
bun run build 2>&1 && BUILD_OK=true || BUILD_OK=false
|
||||
bun run lint 2>&1 && LINT_OK=true || LINT_OK=false
|
||||
bun run typecheck 2>&1 && TYPES_OK=true || TYPES_OK=false
|
||||
|
||||
# Get coverage with 2 decimal precision
|
||||
COVERAGE=$(bun test --coverage 2>&1 | grep 'All files' | awk '{printf "%.2f", $4}' || echo "0.00")
|
||||
COVERAGE_OK=$(awk "BEGIN {print ($COVERAGE >= 80) ? 1 : 0}")
|
||||
```
|
||||
|
||||
### Step 2: Read Pipeline Log
|
||||
|
||||
Read `.kilo/logs/pipeline-*.log` for:
|
||||
- Token counts per agent (from API response headers)
|
||||
- Execution time per agent
|
||||
- Number of iterations in evaluator-optimizer loops
|
||||
- Which agents were invoked and in what order
|
||||
|
||||
### Step 3: Calculate Fitness
|
||||
|
||||
```
|
||||
test_pass_rate = PASSED / TOTAL
|
||||
quality_gates:
|
||||
- build: BUILD_OK
|
||||
- lint: LINT_OK
|
||||
- types: TYPES_OK
|
||||
- tests: FAILED == 0
|
||||
- coverage: coverage >= 80%
|
||||
quality_gates_rate = passed_gates / 5
|
||||
|
||||
token_budget = 50000 # tokens per standard workflow
|
||||
time_budget = 300 # seconds per standard workflow
|
||||
normalized_cost = (total_tokens/token_budget x 0.5) + (total_time/time_budget x 0.5)
|
||||
efficiency = 1.0 - min(normalized_cost, 1.0)
|
||||
|
||||
FITNESS = test_pass_rate x 0.50 + quality_gates_rate x 0.25 + efficiency x 0.25
|
||||
```
|
||||
|
||||
### Step 4: Produce Report
|
||||
|
||||
```json
|
||||
{
|
||||
"workflow_id": "wf-<issue_number>-<timestamp>",
|
||||
"fitness": 0.82,
|
||||
"breakdown": {
|
||||
"test_pass_rate": 0.95,
|
||||
"quality_gates_rate": 0.80,
|
||||
"efficiency_score": 0.65
|
||||
},
|
||||
"tests": {
|
||||
"total": 47,
|
||||
"passed": 45,
|
||||
"failed": 2,
|
||||
"skipped": 0,
|
||||
"failed_names": ["auth.test.ts:42", "api.test.ts:108"]
|
||||
},
|
||||
"quality_gates": {
|
||||
"build": true,
|
||||
"lint": true,
|
||||
"types": true,
|
||||
"tests_clean": false,
|
||||
"coverage_80": true
|
||||
},
|
||||
"cost": {
|
||||
"total_tokens": 38400,
|
||||
"total_time_ms": 245000,
|
||||
"per_agent": [
|
||||
{"agent": "lead-developer", "tokens": 12000, "time_ms": 45000},
|
||||
{"agent": "sdet-engineer", "tokens": 8500, "time_ms": 32000}
|
||||
]
|
||||
},
|
||||
"iterations": {
|
||||
"code_review_loop": 2,
|
||||
"security_review_loop": 1
|
||||
},
|
||||
"verdict": "PASS",
|
||||
"bottleneck_agent": "lead-developer",
|
||||
"most_expensive_agent": "lead-developer",
|
||||
"improvement_trigger": false
|
||||
}
|
||||
```
|
||||
|
||||
### Step 5: Trigger Evolution (if needed)
|
||||
|
||||
```
|
||||
IF fitness < 0.70:
|
||||
-> Task(subagent_type: "prompt-optimizer", payload: report)
|
||||
-> improvement_trigger = true
|
||||
|
||||
IF any agent consumed > 30% of total tokens:
|
||||
-> Flag as bottleneck
|
||||
-> Suggest model downgrade or prompt compression
|
||||
|
||||
IF iterations > 2 in any loop:
|
||||
-> Flag evaluator-optimizer convergence issue
|
||||
-> Suggest prompt refinement for the evaluator agent
|
||||
```
|
||||
|
||||
## Output Format
|
||||
|
||||
```
|
||||
## Pipeline Judgment: Issue #<N>
|
||||
|
||||
**Fitness: <score>/1.00** [PASS|MARGINAL|FAIL]
|
||||
|
||||
| Metric | Value | Weight | Contribution |
|
||||
|--------|-------|--------|-------------|
|
||||
| Tests | 95% (45/47) | 50% | 0.475 |
|
||||
| Gates | 80% (4/5) | 25% | 0.200 |
|
||||
| Cost | 38.4K tok / 245s | 25% | 0.163 |
|
||||
|
||||
**Bottleneck:** lead-developer (31% of tokens)
|
||||
**Failed tests:** auth.test.ts:42, api.test.ts:108
|
||||
**Failed gates:** tests_clean
|
||||
|
||||
@if fitness < 0.70: Task tool with subagent_type: "prompt-optimizer"
|
||||
@if fitness >= 0.70: Log to .kilo/logs/fitness-history.jsonl
|
||||
```
|
||||
|
||||
## Workflow-Specific Budgets
|
||||
|
||||
| Workflow | Token Budget | Time Budget (s) | Min Coverage |
|
||||
|----------|-------------|-----------------|---------------|
|
||||
| feature | 50000 | 300 | 80% |
|
||||
| bugfix | 20000 | 120 | 90% |
|
||||
| refactor | 40000 | 240 | 95% |
|
||||
| security | 30000 | 180 | 80% |
|
||||
|
||||
## Prohibited Actions
|
||||
|
||||
- DO NOT write or modify any code
|
||||
- DO NOT subjectively rate "quality" — only measure
|
||||
- DO NOT skip running actual tests
|
||||
- DO NOT estimate token counts — read from logs
|
||||
- DO NOT change agent prompts — only flag for prompt-optimizer
|
||||
|
||||
## Gitea Commenting (MANDATORY)
|
||||
|
||||
**You MUST post a comment to the Gitea issue after completing your work.**
|
||||
|
||||
Post a comment with:
|
||||
1. Fitness score with breakdown
|
||||
2. Bottleneck identification
|
||||
3. Improvement triggers (if any)
|
||||
|
||||
Use the `post_comment` function from `.kilo/skills/gitea-commenting/SKILL.md`.
|
||||
|
||||
**NO EXCEPTIONS** - Always comment to Gitea.
|
||||
@@ -1,7 +1,7 @@
|
||||
---
|
||||
description: Manages git operations, semantic versioning, branching, and deployments. Ensures clean history
|
||||
mode: subagent
|
||||
model: ollama-cloud/devstral-2:123b
|
||||
model: openrouter/qwen/qwen3.6-plus:free
|
||||
color: "#581C87"
|
||||
permission:
|
||||
read: allow
|
||||
|
||||
@@ -13,6 +13,7 @@ permission:
|
||||
task:
|
||||
"*": deny
|
||||
"lead-developer": allow
|
||||
"orchestrator": allow
|
||||
---
|
||||
|
||||
# Kilo Code: SDET Engineer
|
||||
|
||||
@@ -12,6 +12,7 @@ permission:
|
||||
"*": deny
|
||||
"the-fixer": allow
|
||||
"release-manager": allow
|
||||
"orchestrator": allow
|
||||
---
|
||||
|
||||
# Kilo Code: Security Auditor
|
||||
|
||||
@@ -340,7 +340,7 @@ agents:
|
||||
forbidden:
|
||||
- code_changes
|
||||
- feature_development
|
||||
model: ollama-cloud/devstral-2:123b
|
||||
model: openrouter/qwen/qwen3.6-plus:free
|
||||
mode: subagent
|
||||
|
||||
evaluator:
|
||||
@@ -521,6 +521,26 @@ agents:
|
||||
model: ollama-cloud/nemotron-3-super
|
||||
mode: subagent
|
||||
|
||||
pipeline-judge:
|
||||
capabilities:
|
||||
- test_execution
|
||||
- fitness_scoring
|
||||
- metric_collection
|
||||
- bottleneck_detection
|
||||
receives:
|
||||
- completed_workflow
|
||||
- pipeline_logs
|
||||
produces:
|
||||
- fitness_report
|
||||
- bottleneck_analysis
|
||||
- improvement_triggers
|
||||
forbidden:
|
||||
- code_writing
|
||||
- code_changes
|
||||
- prompt_changes
|
||||
model: openrouter/qwen/qwen3.6-plus:free
|
||||
mode: subagent
|
||||
|
||||
# Capability Routing Map
|
||||
capability_routing:
|
||||
code_writing: lead-developer
|
||||
@@ -559,6 +579,10 @@ agents:
|
||||
memory_retrieval: memory-manager
|
||||
chain_of_thought: planner
|
||||
tree_of_thoughts: planner
|
||||
# Fitness & Evolution
|
||||
fitness_scoring: pipeline-judge
|
||||
test_execution: pipeline-judge
|
||||
bottleneck_detection: pipeline-judge
|
||||
# Go Development
|
||||
go_api_development: go-developer
|
||||
go_database_design: go-developer
|
||||
@@ -597,6 +621,13 @@ iteration_loops:
|
||||
max_iterations: 2
|
||||
convergence: all_perf_issues_resolved
|
||||
|
||||
# Evolution loop for continuous improvement
|
||||
evolution:
|
||||
evaluator: pipeline-judge
|
||||
optimizer: prompt-optimizer
|
||||
max_iterations: 3
|
||||
convergence: fitness_above_0.85
|
||||
|
||||
# Quality Gates
|
||||
quality_gates:
|
||||
requirements:
|
||||
@@ -647,4 +678,33 @@ workflow_states:
|
||||
perf_check: [security_check]
|
||||
security_check: [releasing]
|
||||
releasing: [evaluated]
|
||||
evaluated: [completed]
|
||||
evaluated: [evolving, completed]
|
||||
evolving: [evaluated]
|
||||
completed: []
|
||||
|
||||
# Evolution Configuration
|
||||
evolution:
|
||||
enabled: true
|
||||
auto_trigger: true # trigger after every workflow
|
||||
fitness_threshold: 0.70 # below this → auto-optimize
|
||||
max_evolution_attempts: 3 # max retries per cycle
|
||||
fitness_history: .kilo/logs/fitness-history.jsonl
|
||||
token_budget_default: 50000
|
||||
time_budget_default: 300
|
||||
budgets:
|
||||
feature:
|
||||
tokens: 50000
|
||||
time_s: 300
|
||||
min_coverage: 80
|
||||
bugfix:
|
||||
tokens: 20000
|
||||
time_s: 120
|
||||
min_coverage: 90
|
||||
refactor:
|
||||
tokens: 40000
|
||||
time_s: 240
|
||||
min_coverage: 95
|
||||
security:
|
||||
tokens: 30000
|
||||
time_s: 180
|
||||
min_coverage: 80
|
||||
|
||||
@@ -1,163 +1,167 @@
|
||||
# Agent Evolution Workflow
|
||||
---
|
||||
description: Run evolution cycle - judge last workflow, optimize underperforming agents, re-test
|
||||
---
|
||||
|
||||
Tracks and records agent model improvements, capability changes, and performance metrics.
|
||||
# /evolution — Pipeline Evolution Command
|
||||
|
||||
Runs the automated evolution cycle on the most recent (or specified) workflow.
|
||||
|
||||
## Usage
|
||||
|
||||
```
|
||||
/evolution [action] [agent]
|
||||
/evolution # evolve last completed workflow
|
||||
/evolution --issue 42 # evolve workflow for issue #42
|
||||
/evolution --agent planner # focus evolution on one agent
|
||||
/evolution --dry-run # show what would change without applying
|
||||
/evolution --history # print fitness trend chart
|
||||
/evolution --fitness # run fitness evaluation (alias for /evolve)
|
||||
```
|
||||
|
||||
### Actions
|
||||
## Aliases
|
||||
|
||||
| Action | Description |
|
||||
|--------|-------------|
|
||||
| `log` | Log an agent improvement to Gitea and evolution data |
|
||||
| `report` | Generate evolution report for agent or all agents |
|
||||
| `history` | Show model change history |
|
||||
| `metrics` | Display performance metrics |
|
||||
| `recommend` | Get model recommendations |
|
||||
- `/evolve` — same as `/evolution --fitness`
|
||||
- `/evolution log` — log agent model change to Gitea
|
||||
|
||||
### Examples
|
||||
## Execution
|
||||
|
||||
### Step 1: Judge (Fitness Evaluation)
|
||||
|
||||
```bash
|
||||
Task(subagent_type: "pipeline-judge")
|
||||
→ produces fitness report
|
||||
```
|
||||
|
||||
### Step 2: Decide (Threshold Routing)
|
||||
|
||||
```
|
||||
IF fitness >= 0.85:
|
||||
echo "✅ Pipeline healthy (fitness: {score}). No action needed."
|
||||
append to fitness-history.jsonl
|
||||
EXIT
|
||||
|
||||
IF fitness >= 0.70:
|
||||
echo "⚠ Pipeline marginal (fitness: {score}). Optimizing weak agents..."
|
||||
identify agents with lowest per-agent scores
|
||||
Task(subagent_type: "prompt-optimizer", target: weak_agents)
|
||||
|
||||
IF fitness < 0.70:
|
||||
echo "🔴 Pipeline underperforming (fitness: {score}). Major optimization..."
|
||||
Task(subagent_type: "prompt-optimizer", target: all_flagged_agents)
|
||||
IF fitness < 0.50:
|
||||
Task(subagent_type: "agent-architect", action: "redesign", target: worst_agent)
|
||||
```
|
||||
|
||||
### Step 3: Re-test (After Optimization)
|
||||
|
||||
```
|
||||
Re-run the SAME workflow with updated prompts
|
||||
Task(subagent_type: "pipeline-judge") → fitness_after
|
||||
|
||||
IF fitness_after > fitness_before:
|
||||
commit prompt changes
|
||||
echo "📈 Fitness improved: {before} → {after}"
|
||||
ELSE:
|
||||
revert prompt changes
|
||||
echo "📉 No improvement. Reverting."
|
||||
```
|
||||
|
||||
### Step 4: Log
|
||||
|
||||
Append to `.kilo/logs/fitness-history.jsonl`:
|
||||
|
||||
```json
|
||||
{
|
||||
"ts": "<now>",
|
||||
"issue": <N>,
|
||||
"workflow": "<type>",
|
||||
"fitness_before": <score>,
|
||||
"fitness_after": <score>,
|
||||
"agents_optimized": ["planner", "requirement-refiner"],
|
||||
"tokens_saved": <delta>,
|
||||
"time_saved_ms": <delta>
|
||||
}
|
||||
```
|
||||
|
||||
## Subcommands
|
||||
|
||||
### `log` — Log Model Change
|
||||
|
||||
Log an agent model improvement to Gitea and evolution data.
|
||||
|
||||
```bash
|
||||
# Log improvement
|
||||
/evolution log capability-analyst "Updated to qwen3.6-plus for better IF score"
|
||||
```
|
||||
|
||||
# Generate report
|
||||
/evolution report capability-analyst
|
||||
Steps:
|
||||
1. Read current model from `.kilo/agents/{agent}.md`
|
||||
2. Get previous model from `agent-evolution/data/agent-versions.json`
|
||||
3. Calculate improvement (IF score, context window)
|
||||
4. Write to evolution data
|
||||
5. Post Gitea comment
|
||||
|
||||
# Show all changes
|
||||
/evolution history
|
||||
### `report` — Generate Evolution Report
|
||||
|
||||
# Get recommendations
|
||||
Generate comprehensive report for agent or all agents:
|
||||
|
||||
```bash
|
||||
/evolution report # all agents
|
||||
/evolution report planner # specific agent
|
||||
```
|
||||
|
||||
Output includes:
|
||||
- Total agents
|
||||
- Model changes this month
|
||||
- Average quality improvement
|
||||
- Recent changes table
|
||||
- Performance metrics
|
||||
- Model distribution
|
||||
- Recommendations
|
||||
|
||||
### `history` — Show Fitness Trend
|
||||
|
||||
Print fitness trend chart:
|
||||
|
||||
```bash
|
||||
/evolution --history
|
||||
```
|
||||
|
||||
Output:
|
||||
```
|
||||
Fitness Trend (Last 30 days):
|
||||
|
||||
1.00 ┤
|
||||
0.90 ┤ ╭─╮ ╭──╮
|
||||
0.80 ┤ ╭─╯ ╰─╮ ╭─╯ ╰──╮
|
||||
0.70 ┤ ╭─╯ ╰─╯ ╰──╮
|
||||
0.60 ┤ │ ╰─╮
|
||||
0.50 ┼─┴───────────────────────────┴──
|
||||
Apr 1 Apr 8 Apr 15 Apr 22 Apr 29
|
||||
|
||||
Avg fitness: 0.82
|
||||
Trend: ↑ improving
|
||||
```
|
||||
|
||||
### `recommend` — Get Model Recommendations
|
||||
|
||||
```bash
|
||||
/evolution recommend
|
||||
```
|
||||
|
||||
## Workflow Steps
|
||||
|
||||
### Step 1: Parse Command
|
||||
|
||||
```bash
|
||||
action=$1
|
||||
agent=$2
|
||||
message=$3
|
||||
```
|
||||
|
||||
### Step 2: Execute Action
|
||||
|
||||
#### Log Action
|
||||
|
||||
When logging an improvement:
|
||||
|
||||
1. **Read current model**
|
||||
```bash
|
||||
# From .kilo/agents/{agent}.md
|
||||
current_model=$(grep "^model:" .kilo/agents/${agent}.md | cut -d' ' -f2)
|
||||
|
||||
# From .kilo/capability-index.yaml
|
||||
yaml_model=$(grep -A1 "${agent}:" .kilo/capability-index.yaml | grep "model:" | cut -d' ' -f2)
|
||||
```
|
||||
|
||||
2. **Get previous model from history**
|
||||
```bash
|
||||
# Read from agent-evolution/data/agent-versions.json
|
||||
previous_model=$(cat agent-evolution/data/agent-versions.json | ...)
|
||||
```
|
||||
|
||||
3. **Calculate improvement**
|
||||
- Look up model scores from capability-index.yaml
|
||||
- Compare IF scores
|
||||
- Compare context windows
|
||||
|
||||
4. **Write to evolution data**
|
||||
```json
|
||||
{
|
||||
"agent": "capability-analyst",
|
||||
"timestamp": "2026-04-05T22:20:00Z",
|
||||
"type": "model_change",
|
||||
"from": "ollama-cloud/nemotron-3-super",
|
||||
"to": "qwen/qwen3.6-plus:free",
|
||||
"improvement": {
|
||||
"quality": "+23%",
|
||||
"context_window": "130K→1M",
|
||||
"if_score": "85→90"
|
||||
},
|
||||
"rationale": "Better structured output, FREE via OpenRouter"
|
||||
}
|
||||
```
|
||||
|
||||
5. **Post Gitea comment**
|
||||
```markdown
|
||||
## 🚀 Agent Evolution: {agent}
|
||||
|
||||
| Metric | Before | After | Change |
|
||||
|--------|--------|-------|--------|
|
||||
| Model | {old} | {new} | ⬆️ |
|
||||
| IF Score | 85 | 90 | +5 |
|
||||
| Quality | 64 | 79 | +23% |
|
||||
| Context | 130K | 1M | +670K |
|
||||
|
||||
**Rationale**: {message}
|
||||
```
|
||||
|
||||
#### Report Action
|
||||
|
||||
Generate comprehensive report:
|
||||
|
||||
```markdown
|
||||
# Agent Evolution Report
|
||||
|
||||
## Overview
|
||||
|
||||
- Total agents: 28
|
||||
- Model changes this month: 4
|
||||
- Average quality improvement: +18%
|
||||
|
||||
## Recent Changes
|
||||
|
||||
| Date | Agent | Old Model | New Model | Impact |
|
||||
|------|-------|-----------|-----------|--------|
|
||||
| 2026-04-05 | capability-analyst | nemotron-3-super | qwen3.6-plus | +23% |
|
||||
| 2026-04-05 | requirement-refiner | nemotron-3-super | glm-5 | +33% |
|
||||
| ... | ... | ... | ... | ... |
|
||||
|
||||
## Performance Metrics
|
||||
|
||||
### Agent Scores Over Time
|
||||
|
||||
```
|
||||
capability-analyst: 64 → 79 (+23%)
|
||||
requirement-refiner: 60 → 80 (+33%)
|
||||
agent-architect: 67 → 82 (+22%)
|
||||
evaluator: 78 → 81 (+4%)
|
||||
```
|
||||
|
||||
### Model Distribution
|
||||
|
||||
- qwen3.6-plus: 5 agents
|
||||
- nemotron-3-super: 8 agents
|
||||
- glm-5: 3 agents
|
||||
- minimax-m2.5: 1 agent
|
||||
- ...
|
||||
|
||||
## Recommendations
|
||||
|
||||
1. Consider updating history-miner to nemotron-3-super-120b
|
||||
2. code-skeptic optimal with minimax-m2.5
|
||||
3. ...
|
||||
```
|
||||
|
||||
### Step 3: Update Files
|
||||
|
||||
After logging:
|
||||
|
||||
1. Update `agent-evolution/data/agent-versions.json`
|
||||
2. Post comment to related Gitea issue
|
||||
3. Update capability-index.yaml metrics
|
||||
Shows:
|
||||
- Agents with fitness < 0.70 (need optimization)
|
||||
- Agents consuming > 30% of token budget (bottlenecks)
|
||||
- Model upgrade recommendations
|
||||
- Priority order
|
||||
|
||||
## Data Storage
|
||||
|
||||
### fitness-history.jsonl
|
||||
|
||||
```jsonl
|
||||
{"ts":"2026-04-06T00:00:00Z","issue":42,"workflow":"feature","fitness":0.82,"breakdown":{"test_pass_rate":0.95,"quality_gates_rate":0.80,"efficiency_score":0.65},"tokens":38400,"time_ms":245000,"tests_passed":45,"tests_total":47,"verdict":"PASS"}
|
||||
{"ts":"2026-04-06T01:30:00Z","issue":43,"workflow":"bugfix","fitness":0.91,"breakdown":{"test_pass_rate":1.00,"quality_gates_rate":0.80,"efficiency_score":0.88},"tokens":12000,"time_ms":85000,"tests_passed":47,"tests_total":47,"verdict":"PASS"}
|
||||
```
|
||||
|
||||
### agent-versions.json
|
||||
|
||||
```json
|
||||
@@ -186,22 +190,6 @@ After logging:
|
||||
}
|
||||
```
|
||||
|
||||
### Gitea Issue Comments
|
||||
|
||||
Each evolution log posts a formatted comment:
|
||||
|
||||
```markdown
|
||||
## 🚀 Agent Evolution Log
|
||||
|
||||
### {agent}
|
||||
- **Model**: {old} → {new}
|
||||
- **Quality**: {old_score} → {new_score} ({change}%)
|
||||
- **Context**: {old_ctx} → {new_ctx}
|
||||
- **Rationale**: {reason}
|
||||
|
||||
_This change was tracked by /evolution workflow._
|
||||
```
|
||||
|
||||
## Integration Points
|
||||
|
||||
- **After `/pipeline`**: Evaluator scores logged
|
||||
@@ -209,29 +197,52 @@ _This change was tracked by /evolution workflow._
|
||||
- **Weekly**: Performance report generated
|
||||
- **On request**: Recommendations provided
|
||||
|
||||
## Configuration
|
||||
|
||||
```yaml
|
||||
# In capability-index.yaml
|
||||
evolution:
|
||||
enabled: true
|
||||
auto_trigger: true # trigger after every workflow
|
||||
fitness_threshold: 0.70 # below this → auto-optimize
|
||||
max_evolution_attempts: 3 # max retries per cycle
|
||||
fitness_history: .kilo/logs/fitness-history.jsonl
|
||||
token_budget_default: 50000
|
||||
time_budget_default: 300
|
||||
```
|
||||
|
||||
## Metrics Tracked
|
||||
|
||||
| Metric | Source | Purpose |
|
||||
|--------|--------|---------|
|
||||
| IF Score | KILO_SPEC.md | Instruction Following |
|
||||
| Quality Score | Research | Overall performance |
|
||||
| Context Window | Model spec | Max tokens |
|
||||
| Provider | Config | API endpoint |
|
||||
| Cost | Pricing | Resource planning |
|
||||
| SWE-bench | Research | Code benchmark |
|
||||
| RULER | Research | Long-context benchmark |
|
||||
| Fitness Score | pipeline-judge | Overall pipeline health |
|
||||
| Test Pass Rate | bun test | Code quality |
|
||||
| Quality Gates | build/lint/typecheck | Standards compliance |
|
||||
| Token Cost | pipeline logs | Resource efficiency |
|
||||
| Wall-Clock Time | pipeline logs | Speed |
|
||||
| Agent ROI | history analysis | Cost/benefit |
|
||||
|
||||
## Example Session
|
||||
|
||||
```bash
|
||||
$ /evolution log capability-analyst "Updated to qwen3.6-plus for FREE tier and better IF"
|
||||
$ /evolution
|
||||
|
||||
✅ Logged evolution for capability-analyst
|
||||
📊 Quality improvement: +23%
|
||||
📄 Posted comment to Issue #27
|
||||
📝 Updated agent-versions.json
|
||||
## Pipeline Judgment: Issue #42
|
||||
|
||||
**Fitness: 0.82/1.00** [PASS]
|
||||
|
||||
| Metric | Value | Weight | Contribution |
|
||||
|--------|-------|--------|-------------|
|
||||
| Tests | 95% (45/47) | 50% | 0.475 |
|
||||
| Gates | 80% (4/5) | 25% | 0.200 |
|
||||
| Cost | 38.4K tok / 245s | 25% | 0.163 |
|
||||
|
||||
**Bottleneck:** lead-developer (31% of tokens)
|
||||
**Verdict:** PASS - within acceptable range
|
||||
|
||||
✅ Logged to .kilo/logs/fitness-history.jsonl
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
_Evolution workflow v1.0 - Track agent improvements_
|
||||
*Evolution workflow v2.0 - Objective fitness scoring with pipeline-judge*
|
||||
@@ -11,16 +11,40 @@ permission:
|
||||
glob: allow
|
||||
grep: allow
|
||||
task:
|
||||
"*": deny
|
||||
# Core Development
|
||||
"requirement-refiner": allow
|
||||
"system-analyst": allow
|
||||
"backend-developer": allow
|
||||
"frontend-developer": allow
|
||||
"go-developer": allow
|
||||
"flutter-developer": allow
|
||||
"sdet-engineer": allow
|
||||
"lead-developer": allow
|
||||
# Quality Assurance
|
||||
"code-skeptic": allow
|
||||
"the-fixer": allow
|
||||
"security-auditor": allow
|
||||
"performance-engineer": allow
|
||||
"visual-tester": allow
|
||||
"browser-automation": allow
|
||||
# DevOps
|
||||
"devops-engineer": allow
|
||||
"release-manager": allow
|
||||
# Process
|
||||
"evaluator": allow
|
||||
"pipeline-judge": allow
|
||||
"prompt-optimizer": allow
|
||||
"product-owner": allow
|
||||
# Cognitive
|
||||
"planner": allow
|
||||
"reflector": allow
|
||||
"memory-manager": allow
|
||||
# Analysis
|
||||
"capability-analyst": allow
|
||||
"workflow-architect": allow
|
||||
"markdown-validator": allow
|
||||
"history-miner": allow
|
||||
---
|
||||
|
||||
# Workflow Executor
|
||||
|
||||
@@ -8,8 +8,8 @@
|
||||
"default_agent": "orchestrator",
|
||||
"agent": {
|
||||
"orchestrator": {
|
||||
"model": "ollama-cloud/glm-5",
|
||||
"description": "Main dispatcher. Routes tasks between agents based on Issue status.",
|
||||
"model": "openrouter/qwen/qwen3.6-plus:free",
|
||||
"description": "Main dispatcher. Routes tasks between agents based on Issue status. IF:90 for optimal routing accuracy.",
|
||||
"mode": "all",
|
||||
"permission": {
|
||||
"read": "allow",
|
||||
@@ -34,7 +34,7 @@
|
||||
"mode": "primary"
|
||||
},
|
||||
"ask": {
|
||||
"model": "openrouter/qwen/qwen3.6-plus:free",
|
||||
"model": "openrouter/qwen/qwen3.6-plus:free",
|
||||
"description": "Read-only Q&A agent for codebase questions.",
|
||||
"mode": "primary"
|
||||
},
|
||||
@@ -44,8 +44,8 @@
|
||||
"mode": "primary"
|
||||
},
|
||||
"debug": {
|
||||
"model": "ollama-cloud/gemma4:31b",
|
||||
"description": "Bug diagnostics and troubleshooting.",
|
||||
"model": "openrouter/qwen/qwen3.6-plus:free",
|
||||
"description": "Bug diagnostics and troubleshooting. IF:90, score:85★, 1M context. Best model for debugging.",
|
||||
"mode": "primary"
|
||||
}
|
||||
}
|
||||
|
||||
540
.kilo/rules/orchestrator-self-evolution.md
Normal file
540
.kilo/rules/orchestrator-self-evolution.md
Normal file
@@ -0,0 +1,540 @@
|
||||
# Orchestrator Self-Evolution Rule
|
||||
|
||||
Auto-expansion protocol when no solution found in existing capabilities.
|
||||
|
||||
## Trigger Condition
|
||||
|
||||
Orchestrator initiates self-evolution when:
|
||||
|
||||
1. **No Agent Match**: Task requirements don't match any existing agent capabilities
|
||||
2. **No Skill Match**: Required domain knowledge not covered by existing skills
|
||||
3. **No Workflow Match**: Complex multi-step task needs new workflow pattern
|
||||
4. **Capability Gap**: `@capability-analyst` reports critical gaps
|
||||
|
||||
## Evolution Protocol
|
||||
|
||||
### Step 1: Create Research Milestone
|
||||
|
||||
Post to Gitea:
|
||||
|
||||
```python
|
||||
def create_evolution_milestone(gap_description, required_capabilities):
|
||||
"""Create milestone for evolution tracking"""
|
||||
|
||||
milestone = gitea.create_milestone(
|
||||
repo="UniqueSoft/APAW",
|
||||
title=f"[Evolution] {gap_description}",
|
||||
description=f"""## Capability Gap Analysis
|
||||
|
||||
**Trigger**: No matching capability found
|
||||
**Required**: {required_capabilities}
|
||||
**Date**: {timestamp()}
|
||||
|
||||
## Evolution Tasks
|
||||
|
||||
- [ ] Research existing solutions
|
||||
- [ ] Design new agent/skill/workflow
|
||||
- [ ] Implement component
|
||||
- [ ] Update orchestrator permissions
|
||||
- [ ] Verify access
|
||||
- [ ] Register in capability-index.yaml
|
||||
- [ ] Document in KILO_SPEC.md
|
||||
- [ ] Close milestone with results
|
||||
|
||||
## Expected Outcome
|
||||
|
||||
After completion, orchestrator will have access to new capabilities.
|
||||
"""
|
||||
)
|
||||
|
||||
return milestone['id'], milestone['number']
|
||||
```
|
||||
|
||||
### Step 2: Run Research Workflow
|
||||
|
||||
```python
|
||||
def run_evolution_research(milestone_id, gap_description):
|
||||
"""Run comprehensive research for gap filling"""
|
||||
|
||||
# Create research issue
|
||||
issue = gitea.create_issue(
|
||||
repo="UniqueSoft/APAW",
|
||||
title=f"[Research] {gap_description}",
|
||||
body=f"""## Research Scope
|
||||
|
||||
**Milestone**: #{milestone_id}
|
||||
**Gap**: {gap_description}
|
||||
|
||||
## Research Tasks
|
||||
|
||||
### 1. Existing Solutions Analysis
|
||||
- [ ] Search git history for similar patterns
|
||||
- [ ] Check external resources and best practices
|
||||
- [ ] Analyze if enhancement is better than new component
|
||||
|
||||
### 2. Component Design
|
||||
- [ ] Decide: Agent vs Skill vs Workflow
|
||||
- [ ] Define required capabilities
|
||||
- [ ] Specify permission requirements
|
||||
- [ ] Plan integration points
|
||||
|
||||
### 3. Implementation Plan
|
||||
- [ ] File locations
|
||||
- [ ] Dependencies
|
||||
- [ ] Update requirements: orchestrator.md, capability-index.yaml
|
||||
- [ ] Test plan
|
||||
|
||||
## Decision Matrix
|
||||
|
||||
| If | Then |
|
||||
|----|----|
|
||||
| Specialized knowledge needed | Create SKILL |
|
||||
| Autonomous execution needed | Create AGENT |
|
||||
| Multi-step process needed | Create WORKFLOW |
|
||||
| Enhancement to existing | Modify existing |
|
||||
|
||||
---
|
||||
**Status**: 🔄 Research Phase
|
||||
""",
|
||||
labels=["evolution", "research", f"milestone:{milestone_id}"]
|
||||
)
|
||||
|
||||
return issue['number']
|
||||
```
|
||||
|
||||
### Step 3: Execute Research with Agents
|
||||
|
||||
```python
|
||||
def execute_evolution_research(issue_number, gap_description, required_capabilities):
|
||||
"""Execute research using specialized agents"""
|
||||
|
||||
# 1. History search
|
||||
history_result = Task(
|
||||
subagent_type="history-miner",
|
||||
prompt=f"""Search git history for:
|
||||
1. Similar capability implementations
|
||||
2. Past solutions to: {gap_description}
|
||||
3. Related patterns that could be extended
|
||||
Return findings for gap analysis."""
|
||||
)
|
||||
|
||||
# 2. Capability analysis
|
||||
gap_analysis = Task(
|
||||
subagent_type="capability-analyst",
|
||||
prompt=f"""Analyze capability gap:
|
||||
|
||||
**Gap**: {gap_description}
|
||||
**Required**: {required_capabilities}
|
||||
|
||||
Output:
|
||||
1. Gap classification (critical/partial/integration/skill)
|
||||
2. Recommendation: create new or enhance existing
|
||||
3. Component type: agent/skill/workflow
|
||||
4. Required capabilities and permissions
|
||||
5. Integration points with existing system"""
|
||||
)
|
||||
|
||||
# 3. Design new component
|
||||
if gap_analysis.recommendation == "create_new":
|
||||
design_result = Task(
|
||||
subagent_type="agent-architect",
|
||||
prompt=f"""Design new component for:
|
||||
|
||||
**Gap**: {gap_description}
|
||||
**Type**: {gap_analysis.component_type}
|
||||
**Required Capabilities**: {required_capabilities}
|
||||
|
||||
Create complete definition:
|
||||
1. YAML frontmatter (model, mode, permissions)
|
||||
2. Role definition
|
||||
3. Behavior guidelines
|
||||
4. Task tool invocation table
|
||||
5. Integration requirements"""
|
||||
)
|
||||
|
||||
# Post research results
|
||||
post_comment(issue_number, f"""## ✅ Research Complete
|
||||
|
||||
### Findings:
|
||||
|
||||
**History Search**: {history_result.summary}
|
||||
**Gap Analysis**: {gap_analysis.classification}
|
||||
**Recommendation**: {gap_analysis.recommendation}
|
||||
|
||||
### Design:
|
||||
|
||||
```yaml
|
||||
{design_result.yaml_frontmatter}
|
||||
```
|
||||
|
||||
### Implementation Required:
|
||||
- Type: {gap_analysis.component_type}
|
||||
- Model: {design_result.model}
|
||||
- Permissions: {design_result.permissions}
|
||||
|
||||
**Next**: Implementation Phase
|
||||
""")
|
||||
|
||||
return {
|
||||
'type': gap_analysis.component_type,
|
||||
'design': design_result,
|
||||
'permissions_needed': design_result.permissions
|
||||
}
|
||||
```
|
||||
|
||||
### Step 4: Implement New Component
|
||||
|
||||
```python
|
||||
def implement_evolution_component(issue_number, milestone_id, design):
|
||||
"""Create new agent/skill/workflow based on research"""
|
||||
|
||||
component_type = design['type']
|
||||
|
||||
if component_type == 'agent':
|
||||
# Create agent file
|
||||
agent_file = f".kilo/agents/{design['design']['name']}.md"
|
||||
write_file(agent_file, design['design']['content'])
|
||||
|
||||
# Update orchestrator permissions
|
||||
update_orchestrator_permissions(design['design']['name'])
|
||||
|
||||
# Update capability index
|
||||
update_capability_index(
|
||||
agent_name=design['design']['name'],
|
||||
capabilities=design['design']['capabilities']
|
||||
)
|
||||
|
||||
elif component_type == 'skill':
|
||||
# Create skill directory
|
||||
skill_dir = f".kilo/skills/{design['design']['name']}"
|
||||
create_directory(skill_dir)
|
||||
write_file(f"{skill_dir}/SKILL.md", design['design']['content'])
|
||||
|
||||
elif component_type == 'workflow':
|
||||
# Create workflow file
|
||||
workflow_file = f".kilo/workflows/{design['design']['name']}.md"
|
||||
write_file(workflow_file, design['design']['content'])
|
||||
|
||||
# Post implementation status
|
||||
post_comment(issue_number, f"""## ✅ Component Implemented
|
||||
|
||||
**Type**: {component_type}
|
||||
**File**: {design['design']['file']}
|
||||
|
||||
### Created:
|
||||
- `{design['design']['file']}`
|
||||
- Updated: `.kilo/agents/orchestrator.md` (permissions)
|
||||
- Updated: `.kilo/capability-index.yaml`
|
||||
|
||||
**Next**: Verification Phase
|
||||
""")
|
||||
```
|
||||
|
||||
### Step 5: Update Orchestrator Permissions
|
||||
|
||||
```python
|
||||
def update_orchestrator_permissions(new_agent_name):
|
||||
"""Add new agent to orchestrator whitelist"""
|
||||
|
||||
orchestrator_file = ".kilo/agents/orchestrator.md"
|
||||
content = read_file(orchestrator_file)
|
||||
|
||||
# Parse YAML frontmatter
|
||||
frontmatter, body = parse_frontmatter(content)
|
||||
|
||||
# Add new permission
|
||||
if 'task' not in frontmatter['permission']:
|
||||
frontmatter['permission']['task'] = {"*": "deny"}
|
||||
|
||||
frontmatter['permission']['task'][new_agent_name] = "allow"
|
||||
|
||||
# Write back
|
||||
new_content = serialize_frontmatter(frontmatter) + body
|
||||
write_file(orchestrator_file, new_content)
|
||||
|
||||
# Log to Gitea
|
||||
post_comment(issue_number, f"""## 🔧 Orchestrator Updated
|
||||
|
||||
Added permission to call `{new_agent_name}` agent.
|
||||
|
||||
```yaml
|
||||
permission:
|
||||
task:
|
||||
"{new_agent_name}": allow
|
||||
```
|
||||
|
||||
**File**: `.kilo/agents/orchestrator.md`
|
||||
""")
|
||||
```
|
||||
|
||||
### Step 6: Verify Access
|
||||
|
||||
```python
|
||||
def verify_new_capability(agent_name):
|
||||
"""Test that orchestrator can now call new agent"""
|
||||
|
||||
try:
|
||||
result = Task(
|
||||
subagent_type=agent_name,
|
||||
prompt="Verification test - confirm you are operational"
|
||||
)
|
||||
|
||||
if result.success:
|
||||
return {
|
||||
'verified': True,
|
||||
'agent': agent_name,
|
||||
'response': result.response
|
||||
}
|
||||
else:
|
||||
raise VerificationError(f"Agent {agent_name} not responding")
|
||||
|
||||
except PermissionError as e:
|
||||
# Permission still blocked - escalation needed
|
||||
post_comment(issue_number, f"""## ❌ Verification Failed
|
||||
|
||||
**Error**: Permission denied for `{agent_name}`
|
||||
**Blocker**: Orchestrator still cannot call this agent
|
||||
|
||||
### Manual Action Required:
|
||||
1. Check `.kilo/agents/orchestrator.md` permissions
|
||||
2. Verify agent file exists
|
||||
3. Restart orchestrator session
|
||||
|
||||
**Status**: 🔴 Blocked
|
||||
""")
|
||||
raise
|
||||
```
|
||||
|
||||
### Step 7: Register in Documentation
|
||||
|
||||
```python
|
||||
def register_evolution_result(milestone_id, new_component):
|
||||
"""Update all documentation with new capability"""
|
||||
|
||||
# Update KILO_SPEC.md
|
||||
update_kilo_spec(new_component)
|
||||
|
||||
# Update AGENTS.md
|
||||
update_agents_md(new_component)
|
||||
|
||||
# Create changelog entry
|
||||
changelog_entry = f"""## {date()} - Evolution Complete
|
||||
|
||||
### New Capability Added
|
||||
|
||||
**Component**: {new_component['name']}
|
||||
**Type**: {new_component['type']}
|
||||
**Trigger**: {new_component['gap']}
|
||||
|
||||
### Files Modified:
|
||||
- `.kilo/agents/{new_component['name']}.md` (created)
|
||||
- `.kilo/agents/orchestrator.md` (permissions updated)
|
||||
- `.kilo/capability-index.yaml` (capability registered)
|
||||
- `.kilo/KILO_SPEC.md` (documentation updated)
|
||||
- `AGENTS.md` (reference added)
|
||||
|
||||
### Verification:
|
||||
- ✅ Agent file created
|
||||
- ✅ Orchestrator permissions updated
|
||||
- ✅ Capability index updated
|
||||
- ✅ Access verified
|
||||
- ✅ Documentation updated
|
||||
|
||||
---
|
||||
**Milestone**: #{milestone_id}
|
||||
**Status**: 🟢 Complete
|
||||
"""
|
||||
|
||||
append_to_file(".kilo/EVOLUTION_LOG.md", changelog_entry)
|
||||
```
|
||||
|
||||
### Step 8: Close Milestone
|
||||
|
||||
```python
|
||||
def close_evolution_milestone(milestone_id, issue_number, result):
|
||||
"""Finalize evolution milestone with results"""
|
||||
|
||||
# Close research issue
|
||||
close_issue(issue_number, f"""## 🎉 Evolution Complete
|
||||
|
||||
**Milestone**: #{milestone_id}
|
||||
|
||||
### Summary:
|
||||
- New capability: `{result['component_name']}`
|
||||
- Type: {result['type']}
|
||||
- Orchestrator access: ✅ Verified
|
||||
|
||||
### Metrics:
|
||||
- Duration: {result['duration']}
|
||||
- Agents involved: history-miner, capability-analyst, agent-architect
|
||||
- Files modified: {len(result['files'])}
|
||||
|
||||
**Evolution logged to**: `.kilo/EVOLUTION_LOG.md`
|
||||
""")
|
||||
|
||||
# Close milestone
|
||||
close_milestone(milestone_id, f"""Evolution complete. New capability '{result['component_name']}' registered and accessible.
|
||||
|
||||
- Issue: #{issue_number}
|
||||
- Verification: PASSED
|
||||
- Orchestrator access: CONFIRMED
|
||||
""")
|
||||
```
|
||||
|
||||
## Complete Evolution Flow
|
||||
|
||||
```
|
||||
[Task Requires Unknown Capability]
|
||||
↓
|
||||
1. Create Evolution Milestone → Gitea milestone + research issue
|
||||
↓
|
||||
2. Run History Search → @history-miner checks git history
|
||||
↓
|
||||
3. Analyze Gap → @capability-analyst classifies gap
|
||||
↓
|
||||
4. Design Component → @agent-architect creates spec
|
||||
↓
|
||||
5. Decision: Agent/Skill/Workflow?
|
||||
↓
|
||||
┌───────┼───────┐
|
||||
↓ ↓ ↓
|
||||
[Agent] [Skill] [Workflow]
|
||||
↓ ↓ ↓
|
||||
6. Create File → .kilo/agents/{name}.md (or skill/workflow)
|
||||
↓
|
||||
7. Update Orchestrator → Add to permission whitelist
|
||||
↓
|
||||
8. Update capability-index.yaml → Register capabilities
|
||||
↓
|
||||
9. Verify Access → Task tool test call
|
||||
↓
|
||||
10. Update Documentation → KILO_SPEC.md, AGENTS.md, EVOLUTION_LOG.md
|
||||
↓
|
||||
11. Close Milestone → Record in Gitea with results
|
||||
↓
|
||||
[Orchestrator Now Has New Capability]
|
||||
```
|
||||
|
||||
## Gitea Milestone Structure
|
||||
|
||||
```yaml
|
||||
milestone:
|
||||
title: "[Evolution] {gap_description}"
|
||||
state: open
|
||||
|
||||
issues:
|
||||
- title: "[Research] {gap_description}"
|
||||
labels: [evolution, research]
|
||||
tasks:
|
||||
- History search
|
||||
- Gap analysis
|
||||
- Component design
|
||||
|
||||
- title: "[Implement] {component_name}"
|
||||
labels: [evolution, implementation]
|
||||
tasks:
|
||||
- Create agent/skill/workflow file
|
||||
- Update orchestrator permissions
|
||||
- Update capability index
|
||||
|
||||
- title: "[Verify] {component_name}"
|
||||
labels: [evolution, verification]
|
||||
tasks:
|
||||
- Test orchestrator access
|
||||
- Update documentation
|
||||
- Close milestone
|
||||
|
||||
timeline:
|
||||
- 2026-04-06: Milestone created
|
||||
- 2026-04-06: Research complete
|
||||
- 2026-04-06: Implementation done
|
||||
- 2026-04-06: Verification passed
|
||||
- 2026-04-06: Milestone closed
|
||||
```
|
||||
|
||||
## Evolution Log Format
|
||||
|
||||
`.kilo/EVOLUTION_LOG.md`:
|
||||
|
||||
```markdown
|
||||
# Orchestrator Evolution Log
|
||||
|
||||
Timeline of capability expansions through self-modification.
|
||||
|
||||
## Entry: 2026-04-06T22:15:00+01:00
|
||||
|
||||
### Gap
|
||||
Task required NLP processing capability not available.
|
||||
|
||||
### Research
|
||||
- Milestone: #42
|
||||
- Issue: #43
|
||||
- Analysis: Critical gap - no NLP agent exists
|
||||
|
||||
### Implementation
|
||||
- Created: `.kilo/agents/nlp-processor.md`
|
||||
- Model: `ollama-cloud/nemotron-3-super`
|
||||
- Permissions: read, edit, task
|
||||
|
||||
### Verification
|
||||
- Test call: ✅ Success
|
||||
- Orchestrator access: ✅ Confirmed
|
||||
- Capability index: ✅ Registered
|
||||
|
||||
### Files Modified
|
||||
- .kilo/agents/nlp-processor.md (new)
|
||||
- .kilo/agents/orchestrator.md (permission added)
|
||||
- .kilo/capability-index.yaml (registered)
|
||||
- .kilo/KILO_SPEC.md (documented)
|
||||
|
||||
### Metrics
|
||||
- Duration: 15 minutes
|
||||
- Agents used: history-miner, capability-analyst, agent-architect
|
||||
- Tokens consumed: ~25,000
|
||||
|
||||
---
|
||||
```
|
||||
|
||||
## Orchestrator Behavior Change
|
||||
|
||||
Add to orchestrator.md Behavior Guidelines:
|
||||
|
||||
```markdown
|
||||
## Self-Evolution Policy
|
||||
|
||||
When task requirements exceed current capabilities:
|
||||
|
||||
1. **Detect Gap**: If no agent/skill/workflow matches task
|
||||
2. **Create Milestone**: Document the evolution attempt in Gitea
|
||||
3. **Run Research**: Invoke capability-analyst + agent-architect
|
||||
4. **Implement**: Create new agent/skill/workflow
|
||||
5. **Self-Modify**: Add new permission to own whitelist
|
||||
6. **Verify**: Test access to new capability
|
||||
7. **Register**: Update all documentation
|
||||
8. **Log**: Record in EVOLUTION_LOG.md
|
||||
9. **Close**: Mark milestone complete with results
|
||||
|
||||
### Evolution Triggers
|
||||
|
||||
- Task type not in capability Routing Map
|
||||
- capability-analyst reports critical gap
|
||||
- Repeated task failures for same reason
|
||||
- User requests new specialized capability
|
||||
|
||||
### Self-Modification Rules
|
||||
|
||||
1. ONLY modify own permission whitelist
|
||||
2. NEVER modify other agents' definitions
|
||||
3. ALWAYS create milestone before changes
|
||||
4. ALWAYS verify access after changes
|
||||
5. ALWAYS log results to EVOLUTION_LOG.md
|
||||
```
|
||||
|
||||
## Prohibited Self-Evolution Actions
|
||||
|
||||
- DO NOT create agents without capability-analyst approval
|
||||
- DO NOT skip verification step
|
||||
- DO NOT modify other agents without permission
|
||||
- DO NOT close milestone without verification
|
||||
- DO NOT evolve for single-use scenarios
|
||||
- DO NOT create duplicate capabilities
|
||||
259
.kilo/workflows/fitness-evaluation.md
Normal file
259
.kilo/workflows/fitness-evaluation.md
Normal file
@@ -0,0 +1,259 @@
|
||||
# Fitness Evaluation Workflow
|
||||
|
||||
Post-workflow fitness evaluation and automatic optimization loop.
|
||||
|
||||
## Overview
|
||||
|
||||
This workflow runs after every completed workflow to:
|
||||
1. Evaluate fitness objectively via `pipeline-judge`
|
||||
2. Trigger optimization if fitness < threshold
|
||||
3. Re-run and compare before/after
|
||||
4. Log results to fitness-history.jsonl
|
||||
|
||||
## Flow
|
||||
|
||||
```
|
||||
[Workflow Completes]
|
||||
↓
|
||||
[@pipeline-judge] ← runs tests, measures tokens/time
|
||||
↓
|
||||
fitness score
|
||||
↓
|
||||
┌──────────────────────────────────┐
|
||||
│ fitness >= 0.85 │──→ Log + done (no action)
|
||||
│ fitness 0.70 - 0.84 │──→ [@prompt-optimizer] minor tuning
|
||||
│ fitness < 0.70 │──→ [@prompt-optimizer] major rewrite
|
||||
│ fitness < 0.50 │──→ [@agent-architect] redesign agent
|
||||
└──────────────────────────────────┘
|
||||
↓
|
||||
[Re-run same workflow with new prompts]
|
||||
↓
|
||||
[@pipeline-judge] again
|
||||
↓
|
||||
compare fitness_before vs fitness_after
|
||||
↓
|
||||
┌──────────────────────────────────┐
|
||||
│ improved? │
|
||||
│ Yes → commit new prompts │
|
||||
│ No → revert, try │
|
||||
│ different strategy │
|
||||
│ (max 3 attempts) │
|
||||
└──────────────────────────────────┘
|
||||
```
|
||||
|
||||
## Fitness Score Formula
|
||||
|
||||
```
|
||||
fitness = (test_pass_rate × 0.50) + (quality_gates_rate × 0.25) + (efficiency_score × 0.25)
|
||||
|
||||
where:
|
||||
test_pass_rate = passed_tests / total_tests
|
||||
quality_gates_rate = passed_gates / total_gates
|
||||
efficiency_score = 1.0 - clamp(normalized_cost, 0, 1)
|
||||
normalized_cost = (actual_tokens / budget_tokens × 0.5) + (actual_time / budget_time × 0.5)
|
||||
```
|
||||
|
||||
## Quality Gates
|
||||
|
||||
Each gate is binary (pass/fail):
|
||||
|
||||
| Gate | Command | Weight |
|
||||
|------|---------|--------|
|
||||
| build | `bun run build` | 1/5 |
|
||||
| lint | `bun run lint` | 1/5 |
|
||||
| types | `bun run typecheck` | 1/5 |
|
||||
| tests | `bun test` | 1/5 |
|
||||
| coverage | `bun test --coverage >= 80%` | 1/5 |
|
||||
|
||||
## Budget Defaults
|
||||
|
||||
| Workflow | Token Budget | Time Budget (s) | Min Coverage |
|
||||
|----------|-------------|-----------------|---------------|
|
||||
| feature | 50000 | 300 | 80% |
|
||||
| bugfix | 20000 | 120 | 90% |
|
||||
| refactor | 40000 | 240 | 95% |
|
||||
| security | 30000 | 180 | 80% |
|
||||
|
||||
## Workflow-Specific Benchmarks
|
||||
|
||||
```yaml
|
||||
benchmarks:
|
||||
feature:
|
||||
token_budget: 50000
|
||||
time_budget_s: 300
|
||||
min_test_coverage: 80%
|
||||
max_iterations: 3
|
||||
|
||||
bugfix:
|
||||
token_budget: 20000
|
||||
time_budget_s: 120
|
||||
min_test_coverage: 90% # higher for bugfix - must prove fix works
|
||||
max_iterations: 2
|
||||
|
||||
refactor:
|
||||
token_budget: 40000
|
||||
time_budget_s: 240
|
||||
min_test_coverage: 95% # must not break anything
|
||||
max_iterations: 2
|
||||
|
||||
security:
|
||||
token_budget: 30000
|
||||
time_budget_s: 180
|
||||
min_test_coverage: 80%
|
||||
max_iterations: 2
|
||||
required_gates: [security] # security gate MUST pass
|
||||
```
|
||||
|
||||
## Execution Steps
|
||||
|
||||
### Step 1: Collect Metrics
|
||||
|
||||
Agent: `pipeline-judge`
|
||||
|
||||
```bash
|
||||
# Run test suite
|
||||
bun test --reporter=json > /tmp/test-results.json 2>&1
|
||||
|
||||
# Count results
|
||||
TOTAL=$(jq '.numTotalTests' /tmp/test-results.json)
|
||||
PASSED=$(jq '.numPassedTests' /tmp/test-results.json)
|
||||
FAILED=$(jq '.numFailedTests' /tmp/test-results.json)
|
||||
|
||||
# Check quality gates
|
||||
bun run build 2>&1 && BUILD_OK=true || BUILD_OK=false
|
||||
bun run lint 2>&1 && LINT_OK=true || LINT_OK=false
|
||||
bun run typecheck 2>&1 && TYPES_OK=true || TYPES_OK=false
|
||||
```
|
||||
|
||||
### Step 2: Read Pipeline Log
|
||||
|
||||
Read `.kilo/logs/pipeline-*.log` for:
|
||||
- Token counts per agent
|
||||
- Execution time per agent
|
||||
- Number of iterations in evaluator-optimizer loops
|
||||
- Which agents were invoked
|
||||
|
||||
### Step 3: Calculate Fitness
|
||||
|
||||
```
|
||||
test_pass_rate = PASSED / TOTAL
|
||||
quality_gates_rate = (BUILD_OK + LINT_OK + TYPES_OK + TESTS_CLEAN + COVERAGE_OK) / 5
|
||||
efficiency = 1.0 - min((tokens/50000 + time/300) / 2, 1.0)
|
||||
|
||||
FITNESS = test_pass_rate × 0.50 + quality_gates_rate × 0.25 + efficiency × 0.25
|
||||
```
|
||||
|
||||
### Step 4: Decide Action
|
||||
|
||||
| Fitness | Action |
|
||||
|---------|--------|
|
||||
| >= 0.85 | Log to fitness-history.jsonl, done |
|
||||
| 0.70-0.84 | Call `prompt-optimizer` for minor tuning |
|
||||
| 0.50-0.69 | Call `prompt-optimizer` for major rewrite |
|
||||
| < 0.50 | Call `agent-architect` to redesign agent |
|
||||
|
||||
### Step 5: Re-test After Optimization
|
||||
|
||||
If optimization was triggered:
|
||||
1. Re-run the same workflow with new prompts
|
||||
2. Call `pipeline-judge` again
|
||||
3. Compare fitness_before vs fitness_after
|
||||
4. If improved: commit prompts
|
||||
5. If not improved: revert
|
||||
|
||||
### Step 6: Log Results
|
||||
|
||||
Append to `.kilo/logs/fitness-history.jsonl`:
|
||||
|
||||
```jsonl
|
||||
{"ts":"2026-04-06T00:00:00Z","issue":42,"workflow":"feature","fitness":0.82,"tokens":38400,"time_ms":245000,"tests_passed":45,"tests_total":47}
|
||||
```
|
||||
|
||||
## Usage
|
||||
|
||||
### Automatic (post-pipeline)
|
||||
|
||||
The workflow triggers automatically after any workflow completes.
|
||||
|
||||
### Manual
|
||||
|
||||
```bash
|
||||
/evolve # evolve last completed workflow
|
||||
/evolve --issue 42 # evolve workflow for issue #42
|
||||
/evolve --agent planner # focus evolution on one agent
|
||||
/evolve --dry-run # show what would change without applying
|
||||
/evolve --history # print fitness trend chart
|
||||
```
|
||||
|
||||
## Integration Points
|
||||
|
||||
- **After `/pipeline`**: pipeline-judge scores the workflow
|
||||
- **After prompt update**: evolution loop retries
|
||||
- **Weekly**: Performance trend analysis
|
||||
- **On request**: Recommendation generation
|
||||
|
||||
## Orchestrator Learning
|
||||
|
||||
The orchestrator uses fitness history to optimize future pipeline construction:
|
||||
|
||||
### Pipeline Selection Strategy
|
||||
|
||||
```
|
||||
For each new issue:
|
||||
1. Classify issue type (feature|bugfix|refactor|api|security)
|
||||
2. Look up fitness history for same type
|
||||
3. Find pipeline configuration with highest fitness
|
||||
4. Use that as template, but adapt to current issue
|
||||
5. Skip agents that consistently score 0 contribution
|
||||
```
|
||||
|
||||
### Agent Ordering Optimization
|
||||
|
||||
```
|
||||
From fitness-history.jsonl, extract per-agent metrics:
|
||||
- avg tokens consumed
|
||||
- avg contribution to fitness
|
||||
- failure rate (how often this agent's output causes downstream failures)
|
||||
|
||||
agents_by_roi = sort(agents, key=contribution/tokens, descending)
|
||||
|
||||
For parallel phases:
|
||||
- Run high-ROI agents first
|
||||
- Skip agents with ROI < 0.1 (cost more than they contribute)
|
||||
```
|
||||
|
||||
### Token Budget Allocation
|
||||
|
||||
```
|
||||
total_budget = 50000 tokens (configurable)
|
||||
|
||||
For each agent in pipeline:
|
||||
agent_budget = total_budget × (agent_avg_contribution / sum_all_contributions)
|
||||
|
||||
If agent exceeds budget by >50%:
|
||||
→ prompt-optimizer compresses that agent's prompt
|
||||
→ or swap to a smaller/faster model
|
||||
```
|
||||
|
||||
## Prompt Evolution Protocol
|
||||
|
||||
When prompt-optimizer is triggered:
|
||||
|
||||
1. Read current agent prompt from `.kilo/agents/<agent>.md`
|
||||
2. Read fitness report identifying the problem
|
||||
3. Read last 5 fitness entries for this agent from history
|
||||
4. Analyze pattern:
|
||||
- IF consistently low → systemic prompt issue
|
||||
- IF regression after change → revert
|
||||
- IF one-time failure → might be task-specific, no action
|
||||
5. Generate improved prompt:
|
||||
- Keep same structure (description, mode, model, permissions)
|
||||
- Modify ONLY the instruction body
|
||||
- Add explicit output format IF was the issue
|
||||
- Add few-shot examples IF quality was the issue
|
||||
- Compress verbose sections IF tokens were the issue
|
||||
6. Save to `.kilo/agents/<agent>.md.candidate`
|
||||
7. Re-run workflow with .candidate prompt
|
||||
8. `@pipeline-judge` scores again
|
||||
9. IF fitness_new > fitness_old: mv .candidate → .md (commit)
|
||||
ELSE: rm .candidate (revert)
|
||||
71
AGENTS.md
71
AGENTS.md
@@ -17,12 +17,15 @@ Agent: Runs full pipeline for issue #42 with Gitea logging
|
||||
|---------|-------------|-------|
|
||||
| `/pipeline <issue>` | Run full agent pipeline for issue | `/pipeline 42` |
|
||||
| `/status <issue>` | Check pipeline status for issue | `/status 42` |
|
||||
| `/evolve` | Run evolution cycle with fitness scoring | `/evolve --issue 42` |
|
||||
| `/evaluate <issue>` | Generate performance report | `/evaluate 42` |
|
||||
| `/plan` | Creates detailed task plans | `/plan feature X` |
|
||||
| `/ask` | Answers codebase questions | `/ask how does auth work` |
|
||||
| `/debug` | Analyzes and fixes bugs | `/debug error in login` |
|
||||
| `/code` | Quick code generation | `/code add validation` |
|
||||
| `/research [topic]` | Run research and self-improvement | `/research multi-agent` |
|
||||
| `/evolution log` | Log agent model change | `/evolution log planner "reason"` |
|
||||
| `/evolution report` | Generate evolution report | `/evolution report` |
|
||||
|
||||
## Pipeline Agents (Subagents)
|
||||
|
||||
@@ -62,7 +65,8 @@ These agents are invoked automatically by `/pipeline` or manually via `@mention`
|
||||
|-------|------|--------------|
|
||||
| `@release-manager` | Git operations | Status: releasing |
|
||||
| `@evaluator` | Scores effectiveness | Status: evaluated |
|
||||
| `@prompt-optimizer` | Improves prompts | When score < 7 |
|
||||
| `@pipeline-judge` | Objective fitness scoring | After workflow completes |
|
||||
| `@prompt-optimizer` | Improves prompts | When fitness < 0.70 |
|
||||
| `@capability-analyst` | Analyzes task coverage | When starting new task |
|
||||
| `@agent-architect` | Creates new agents | When gaps identified |
|
||||
| `@workflow-architect` | Creates workflows | New workflow needed |
|
||||
@@ -94,9 +98,27 @@ These agents are invoked automatically by `/pipeline` or manually via `@mention`
|
||||
[releasing]
|
||||
↓ @release-manager
|
||||
[evaluated]
|
||||
↓ @evaluator
|
||||
├── [score ≥ 7] → [completed]
|
||||
└── [score < 7] → @prompt-optimizer → [completed]
|
||||
↓ @evaluator (subjective score 1-10)
|
||||
├── [score ≥ 7] → [@pipeline-judge] → fitness scoring
|
||||
└── [score < 7] → @prompt-optimizer → [@evaluated]
|
||||
↓
|
||||
[@pipeline-judge] ← runs tests, measures tokens/time
|
||||
↓
|
||||
fitness score
|
||||
↓
|
||||
┌──────────────────────────────────────┐
|
||||
│ fitness >= 0.85 │──→ [completed]
|
||||
│ fitness 0.70-0.84 │──→ @prompt-optimizer → [evolving]
|
||||
│ fitness < 0.70 │──→ @prompt-optimizer (major) → [evolving]
|
||||
│ fitness < 0.50 │──→ @agent-architect → redesign
|
||||
└──────────────────────────────────────┘
|
||||
↓
|
||||
[evolving] → re-run workflow → [@pipeline-judge]
|
||||
↓
|
||||
compare fitness_before vs fitness_after
|
||||
↓
|
||||
[improved?] → commit prompts → [completed]
|
||||
└─ [not improved?] → revert → try different strategy
|
||||
```
|
||||
|
||||
## Capability Analysis Flow
|
||||
@@ -167,6 +189,14 @@ Scores saved to `.kilo/logs/efficiency_score.json`:
|
||||
}
|
||||
```
|
||||
|
||||
### Fitness Tracking
|
||||
|
||||
Fitness scores saved to `.kilo/logs/fitness-history.jsonl`:
|
||||
```jsonl
|
||||
{"ts":"2026-04-06T00:00:00Z","issue":42,"workflow":"feature","fitness":0.82,"tokens":38400,"time_ms":245000,"tests_passed":45,"tests_total":47}
|
||||
{"ts":"2026-04-06T01:30:00Z","issue":43,"workflow":"bugfix","fitness":0.91,"tokens":12000,"time_ms":85000,"tests_passed":47,"tests_total":47}
|
||||
```
|
||||
|
||||
## Manual Agent Invocation
|
||||
|
||||
```typescript
|
||||
@@ -192,11 +222,34 @@ GITEA_TOKEN=your-token-here
|
||||
## Self-Improvement Cycle
|
||||
|
||||
1. **Pipeline runs** for each issue
|
||||
2. **Evaluator scores** each agent (1-10)
|
||||
3. **Low scores (<7)** trigger prompt-optimizer
|
||||
4. **Prompt optimizer** analyzes failures and improves prompts
|
||||
5. **New prompts** saved to `.kilo/agents/`
|
||||
6. **Next run** uses improved prompts
|
||||
2. **Evaluator scores** each agent (1-10) - subjective
|
||||
3. **Pipeline Judge measures** fitness objectively (0.0-1.0)
|
||||
4. **Low fitness (<0.70)** triggers prompt-optimizer
|
||||
5. **Prompt optimizer** analyzes failures and improves prompts
|
||||
6. **Re-run workflow** with improved prompts
|
||||
7. **Compare fitness** before/after - commit if improved
|
||||
8. **Log results** to `.kilo/logs/fitness-history.jsonl`
|
||||
|
||||
### Evaluator vs Pipeline Judge
|
||||
|
||||
| Aspect | Evaluator | Pipeline Judge |
|
||||
|--------|-----------|----------------|
|
||||
| Type | Subjective | Objective |
|
||||
| Score | 1-10 (opinion) | 0.0-1.0 (metrics) |
|
||||
| Metrics | Observations | Tests, tokens, time |
|
||||
| Trigger | After workflow | After evaluator |
|
||||
| Action | Logs to Gitea | Triggers optimization |
|
||||
|
||||
### Fitness Score Components
|
||||
|
||||
```
|
||||
fitness = (test_pass_rate × 0.50) + (quality_gates_rate × 0.25) + (efficiency_score × 0.25)
|
||||
|
||||
where:
|
||||
test_pass_rate = passed_tests / total_tests
|
||||
quality_gates_rate = passed_gates / total_gates (build, lint, types, tests, coverage)
|
||||
efficiency_score = 1.0 - clamp(normalized_cost, 0, 1)
|
||||
```
|
||||
|
||||
## Architecture Files
|
||||
|
||||
|
||||
@@ -1151,83 +1151,6 @@
|
||||
background: var(--bg-secondary);
|
||||
}
|
||||
|
||||
/* ============ ACCORDION (FAQ) ============ */
|
||||
.accordion {
|
||||
border-radius: 12px;
|
||||
overflow: hidden;
|
||||
box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
|
||||
width: 100%;
|
||||
max-width: 100%;
|
||||
}
|
||||
|
||||
.accordion-item {
|
||||
border: 1px solid var(--border-color);
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.accordion-item:not(:last-child) {
|
||||
border-bottom: none;
|
||||
}
|
||||
|
||||
.accordion-button {
|
||||
background: var(--bg-secondary);
|
||||
color: var(--text);
|
||||
font-weight: 500;
|
||||
padding: 16px 20px;
|
||||
transition: all 0.2s ease;
|
||||
width: 100%;
|
||||
text-align: left;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.accordion-button .d-flex {
|
||||
max-width: 100%;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.accordion-button:not(.collapsed) {
|
||||
background: var(--primary);
|
||||
color: white;
|
||||
}
|
||||
|
||||
.accordion-button:hover {
|
||||
background: var(--bg-tertiary, #f1f5f9);
|
||||
}
|
||||
|
||||
.accordion-button:not(.collapsed):hover {
|
||||
background: var(--primary-light);
|
||||
}
|
||||
|
||||
.accordion-button:focus {
|
||||
box-shadow: 0 0 0 3px rgba(26, 95, 74, 0.2);
|
||||
outline: none;
|
||||
}
|
||||
|
||||
.accordion-button::after {
|
||||
width: 1rem;
|
||||
height: 1rem;
|
||||
background-size: 1rem;
|
||||
flex-shrink: 0;
|
||||
margin-left: auto;
|
||||
}
|
||||
|
||||
.accordion-body {
|
||||
padding: 20px;
|
||||
background: white;
|
||||
color: var(--text-secondary);
|
||||
line-height: 1.6;
|
||||
}
|
||||
|
||||
.accordion-body p {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.accordion-body p {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
/* ============ RESPONSIVE ============ */
|
||||
@media (max-width: 1400px) {
|
||||
.stats-grid { grid-template-columns: repeat(2, 1fr); }
|
||||
|
||||
Reference in New Issue
Block a user