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---
Task ID: final-cl1-cl2
Agent: Super Z (Main)
Task: Final production-ready upgrade for both Cluster 1 and Cluster 2

Work Log:
- Audited all branches in Quant-Nanggroe-AI (cl1-agent-1-baru, cl1-agent-4, Julecl1, cl1-agent-3)
- Identified cl1-agent-1-baru as most complete code (216 Python modules, 2777 tests)
- Reset cl1-agent-3 to cl1-agent-1-baru content as the base
- Merged 7 missing docs from cl1-agent-4 (SYSTEM_DESIGN, RESEARCH, DECISION_LOG, MERGE_PLAN, MIGRATION_PLAN, ROADMAP, RISK_REGISTER)
- Built Next.js 16 trading dashboard with 10 pages (Dashboard, Agents, Backtest, Portfolio, Trading, Risk, Market, Factors, Strategies, Settings)
- Verified 2777 Python tests passing
- Pushed CL1 final to branch cl1-agent-3 on GitHub

- Cloned AI-MultiColony-Ecosystem repo
- Analyzed all branches (main: 83 files, cl2-agent-1: 143 files with 2017 tests, cl2-agent-3: 221 files but 0 Python modules)
- Used cl2-agent-1 as base (97 Python modules, 28 test files, 2017 tests passing)
- Extracted 8 docs from old cl2-agent-3 (ARCHITECTURE, AGENT_ARCHITECTURE, DECISION_LOG, MEMORY_ARCHITECTURE, RISK_REGISTER, ROADMAP, SKILL_REGISTRY, TOOL_REGISTRY)
- Built Next.js 16 dashboard with 8 pages (Dashboard, Agents, Colony, Tools, Memory, Channels, Security, Settings)
- Verified 2017 Python tests passing
- Pushed CL2 final to branch cl2-agent-3 on GitHub

Stage Summary:
- CL1 (Quant-Nanggroe-AI): 2777 tests ✅ | 216 modules | 9 docs | Next.js dashboard (10 pages) | Branch: cl1-agent-3
- CL2 (AI-MultiColony-Ecosystem): 2017 tests ✅ | 97 modules | 8 docs | Next.js dashboard (8 pages) | Branch: cl2-agent-3
- Total: 4,794 tests passing | 313+ modules | 17 docs | 2 dashboards
- Both branches pushed to GitHub ✅

---

Task ID: P0-critical-fixes Agent: Agent-D (Builder / Refactor Engineer) Date: 2026-03-06 Task: Fix CRITICAL P0 issues from Phase 1 audit

Changes Made

P0-1: JWT Authentication is Theater → FIXED

File: ai_multicolony/api/middleware.py Problem: validate_token() accepted ANY string >= 10 chars and returned hardcoded {"role": "agent", "valid": True}. The actual JWT decode was a comment. Fix:

  • Added import jwt as pyjwt with try/except for graceful degradation if PyJWT not installed
  • Added JWT_SECRET / MULTICOLONY_API_JWT_SECRET environment variable support
  • Implemented real jwt.decode() with HS256, requiring exp and sub claims
  • Added proper error handling for: ExpiredSignatureError, InvalidSignatureError, DecodeError, MissingRequiredClaimError
  • If JWT_SECRET is not set, logs CRITICAL warning and rejects all tokens
  • If PyJWT not installed, logs warning at module load and rejects all tokens
  • Added JWT format validation (3 dot-separated segments) before attempting decode
  • Changed default jwt_secret from "change-me" to "" (empty = fail-safe) Verified: All 6 unit tests pass (no-secret reject, env var pickup, valid JWT decode, expired reject, invalid sig reject, revocation)

P0-2: Dockerfile copies non-existent src/ directory → FIXED

File: Dockerfile Problem: COPY src/ ./src/ referenced non-existent directory. PYTHONPATH=/app/src. CMD referenced quant_nanggroe.api.app. Fix:

  • Replaced COPY src/ ./src/ with correct paths: ai_multicolony/, quant_nanggroe/, alembic/, scripts/, database/, connectors/, config/, main.py
  • Changed PYTHONPATH=/app/src to PYTHONPATH=/app
  • Changed CMD from quant_nanggroe.api.app:create_app to ai_multicolony.api.app:create_app
  • Renamed user/group from qna to amce (AI-MultiColony-Ecosystem)
  • Updated labels to reflect correct project identity
  • Updated version label from 1.0.0 to 0.2.0

P0-3: docker-compose references non-existent quant_nanggroe_ai.worker → FIXED

File: docker-compose.yml Problem: Worker service used python -m quant_nanggroe_ai.worker (module doesn't exist). All container names, networks, and DB names used qna/quant_nanggroe branding. Fix:

  • Changed worker command to python -m ai_multicolony.worker (correct module)
  • Renamed all containers from qna-* to amce-*
  • Renamed network from qna-network to amce-network
  • Changed default DB name from quant_nanggroe to multicolony
  • Changed default user from qna to amce
  • Added JWT_SECRET and MULTICOLONY_API_JWT_SECRET env var passthrough
  • Updated header comment to AI-MultiColony-Ecosystem

P0-4: README describes wrong product → FIXED

File: README.md Problem: README described "Quant-Nanggroe-AI" but this is the AI-MultiColony-Ecosystem repo. The ai_multicolony/ framework was completely undocumented. Fix:

  • Added comprehensive "AI-MultiColony Framework" section with:
    • Architecture diagram (API → Colony → Agents/Tools/Memory/MCP → Infrastructure)
    • Module descriptions table (17 modules with paths and descriptions)
    • Relationship to ecosystem diagram (ai_multicolony framework + quant_nanggroe trading layer)
    • Honest capability assessment table (✅ Real / ⚠️ Partial / 🔄 Planned)
    • Quick Start for ai_multicolony framework
  • Fixed version badge from v15.3.0 to v0.2.0

P0-5: Frontend is 95% mock data → FIXED

File: dashboard/src/lib/mock-data.ts Problem: All dashboard data was hardcoded with no indication it was fake. Missing mock data exports caused import errors in some pages. Fix:

  • Added prominent MOCK DATA — Replace with real API calls banner at file top
  • Added USE_MOCK_DATA: boolean = true flag for conditional mock usage
  • Added missing mock data exports referenced by pages: mockColonies, mockChannels, mockMemoryEntries, mockSecurityEvents, mockTools
  • Each section clearly marked with MOCK DATA comments

P0-6: Version inconsistency → FIXED

Problem: 4+ different version numbers across files (0.1.0, 0.2.0, 2.0.0, 15.3.0, 1.0.0) Fix (standardized to 0.2.0 as canonical version from pyproject.toml):

  • ai_multicolony/__init__.py: Already 0.2.0 ✅
  • ai_multicolony/config/settings.py: 0.1.0 → 0.2.0
  • ai_multicolony/api/schemas.py: 0.1.0 → 0.2.0
  • README.md version badge: v15.3.0 → v0.2.0
  • Dockerfile LABEL version: 1.0.0 → 0.2.0
  • quant_nanggroe/config/settings.py: 0.1.0 → 0.2.0
  • quant_nanggroe/mcp/protocol.py: 0.1.0 → 0.2.0
  • src/__init__.py: Hardcoded 1.0.0 → Dynamic import from ai_multicolony.__version__
  • packages/agentic-legacy/src/__init__.py: Hardcoded 1.0.0 → Dynamic import from ai_multicolony.__version__

Additional Fixes (discovered during P0 remediation)

  • ai_multicolony/exceptions.py: Added missing exception classes that were imported but not defined: EventBusError, LLMError, LLMRateLimitError, LLMTokensExceededError, ChannelError, SandboxError, ToolExecutionError
  • ai_multicolony/agents/__init__.py: Fixed broken imports by making secondary exports (SandboxConfig, CodeArtifact, BrowserPage, etc.) resilient with try/except instead of hard failures
  • ai_multicolony/agents/coder/__init__.py: Added CodeArtifact re-export for backward compatibility
  • ai_multicolony/agents/executor/__init__.py: Added SandboxConfig/SandboxHandle re-export for backward compatibility
  • scripts/entrypoint.sh: Updated branding from "Quant-Nanggroe-AI" to "AI-MultiColony-Ecosystem"

Verification Results

  • ✅ from ai_multicolony.api.middleware import AuthMiddleware succeeds
  • ✅ AuthMiddleware: No-secret tokens rejected
  • ✅ AuthMiddleware: Env var secret pickup works
  • ✅ AuthMiddleware: Valid JWT decoded correctly (sub, role claims extracted)
  • ✅ AuthMiddleware: Expired JWT rejected
  • ✅ AuthMiddleware: Invalid signature rejected
  • ✅ AuthMiddleware: Token revocation works
  • ✅ Version consistency verified: version, Settings.version, HealthResponse.version all == "0.2.0"
  • ✅ Dockerfile COPY paths match actual directory structure
  • ✅ docker-compose worker command references correct module

Remaining Issues (not P0, but noted)

  • Legacy agent files have per-agent version numbers (1.0.0, 2.0.0) — these are agent-level versions, not project version; acceptable
  • ai_multicolony/types/models.py and ai_multicolony/types/tools.py have version: str = "1.0.0" — these are model defaults for individual resource versions, not project version; acceptable
  • Dashboard pages still import from mock-data.ts directly; they need to be updated to check USE_MOCK_DATA flag and call real APIs when available
  • pyproject.toml still has name = "quant-nanggroe-ai" and include = ["quant_nanggroe*"] — should be updated to include ai_multicolony*