This protocol provides a structured framework for work-life balance assessment:
- 4 status levels (GREEN/YELLOW/ORANGE/RED) for "how down are we?"
- Reusable prompt templates for AI assistants
- Integration path for BlackRoad OS agents and UI
- Infrastructure-first thinking: humans require maintenance, not infinite scaling
Turns "can I chill?" from vibes into an actual operator protocol.
This commit integrates the LEITL (Live Everyone In The Loop) Protocol
and Cece Cognition Framework into the BlackRoad agent ecosystem,
enabling multi-agent collaboration and advanced reasoning capabilities.
**Changes:**
1. **Cognition Router Integration**
(`backend/app/routers/cognition.py`):
- Fixed import path for orchestration service
- Exposes full Cece Cognition Framework via REST API
- Endpoints for single agent execution and multi-agent workflows
- Supports sequential, parallel, and recursive execution modes
2. **Main App Updates** (`backend/app/main.py`):
- Added cognition router to imports
- Registered `/api/cognition` endpoints
- Added Cognition tag to OpenAPI docs
3. **BaseAgent LEITL Integration** (`agents/base/agent.py`):
- Added optional LEITL protocol support to base agent class
- New methods: `enable_leitl()`, `disable_leitl()`,
`_leitl_broadcast()`, `_leitl_heartbeat()`
- Automatic event broadcasting during agent execution lifecycle
- Events: task.started, task.completed, task.failed
- Heartbeat support for session keep-alive
4. **AgentRegistry LEITL Support** (`agents/base/registry.py`):
- Added `enable_leitl_for_all()` - Enable LEITL for all registered
agents
- Added `disable_leitl_for_all()` - Disable LEITL for all agents
- Added `get_leitl_status()` - Get LEITL status and session IDs
- Bulk agent session management
**Integration Architecture:**
```
User Request → Cognition API (/api/cognition)
↓
Orchestration Engine
↓
┌────────────┴──────────┐
↓ ↓
Cece Agent Other Agents
(15-step reasoning) (specialized)
↓ ↓
LEITL Protocol (if enabled)
↓
Redis PubSub + WebSocket
↓
Other active sessions
```
**New Capabilities:**
1. **Single Agent Execution**: POST /api/cognition/execute
- Execute Cece, Wasp, Clause, or Codex individually
- Full reasoning trace and confidence scores
2. **Multi-Agent Workflows**: POST /api/cognition/workflows
- Orchestrate multiple agents in complex workflows
- Sequential, parallel, or recursive execution
- Shared memory and context across agents
3. **LEITL Collaboration**:
- All agents can now broadcast their activity in real-time
- Multi-agent sessions can see each other's work
- Live activity feed via WebSocket
- Session management with heartbeats
4. **Agent Registry**:
- Bulk enable/disable LEITL for all agents
- Query LEITL status across the agent ecosystem
- Centralized session management
**Testing:**
- ✅ All Python files compile successfully
- ✅ Orchestration engine imports correctly
- ✅ BaseAgent with LEITL integration works
- ✅ AgentRegistry with LEITL support works
- ✅ Cece agent imports and executes
# Pull Request
## Description
<!-- Provide a brief description of the changes in this PR -->
## Type of Change
<!-- Mark the relevant option with an 'x' -->
- [ ] 📝 Documentation update
- [ ] 🧪 Tests only
- [ ] 🏗️ Scaffolding/stubs
- [ ] ✨ New feature
- [ ] 🐛 Bug fix
- [ ] ♻️ Refactoring
- [ ] ⚙️ Infrastructure/CI
- [ ] 📦 Dependencies update
- [ ] 🔒 Security fix
- [ ] 💥 Breaking change
## Checklist
<!-- Mark completed items with an 'x' -->
- [ ] Code follows the project's style guidelines
- [ ] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
## Auto-Merge Eligibility
<!-- This section helps determine if this PR qualifies for auto-merge
-->
**Eligible for auto-merge?**
- [ ] Yes - This is a docs-only, tests-only, or small AI-generated PR
- [ ] No - Requires human review
**Reason for auto-merge eligibility:**
- [ ] Docs-only (Tier 1)
- [ ] Tests-only (Tier 2)
- [ ] Scaffolding < 200 lines (Tier 3)
- [ ] AI-generated < 500 lines (Tier 4)
- [ ] Dependency patch/minor (Tier 5)
**If not auto-merge eligible, why?**
- [ ] Breaking change
- [ ] Security-related
- [ ] Infrastructure changes
- [ ] Requires discussion
- [ ] Large PR (> 500 lines)
## Related Issues
<!-- Link to related issues -->
Closes #
Related to #
## Test Plan
<!-- Describe how you tested these changes -->
## Screenshots (if applicable)
<!-- Add screenshots for UI changes -->
---
**Note**: This PR will be automatically labeled based on files changed.
See `GITHUB_AUTOMATION_RULES.md` for details.
If this PR meets auto-merge criteria (see `AUTO_MERGE_POLICY.md`), it
will be automatically approved and merged after checks pass.
For questions about the merge queue system, see `MERGE_QUEUE_PLAN.md`.
This commit integrates the LEITL (Live Everyone In The Loop) Protocol and
Cece Cognition Framework into the BlackRoad agent ecosystem, enabling
multi-agent collaboration and advanced reasoning capabilities.
**Changes:**
1. **Cognition Router Integration** (`backend/app/routers/cognition.py`):
- Fixed import path for orchestration service
- Exposes full Cece Cognition Framework via REST API
- Endpoints for single agent execution and multi-agent workflows
- Supports sequential, parallel, and recursive execution modes
2. **Main App Updates** (`backend/app/main.py`):
- Added cognition router to imports
- Registered `/api/cognition` endpoints
- Added Cognition tag to OpenAPI docs
3. **BaseAgent LEITL Integration** (`agents/base/agent.py`):
- Added optional LEITL protocol support to base agent class
- New methods: `enable_leitl()`, `disable_leitl()`, `_leitl_broadcast()`, `_leitl_heartbeat()`
- Automatic event broadcasting during agent execution lifecycle
- Events: task.started, task.completed, task.failed
- Heartbeat support for session keep-alive
4. **AgentRegistry LEITL Support** (`agents/base/registry.py`):
- Added `enable_leitl_for_all()` - Enable LEITL for all registered agents
- Added `disable_leitl_for_all()` - Disable LEITL for all agents
- Added `get_leitl_status()` - Get LEITL status and session IDs
- Bulk agent session management
**Integration Architecture:**
```
User Request → Cognition API (/api/cognition)
↓
Orchestration Engine
↓
┌────────────┴──────────┐
↓ ↓
Cece Agent Other Agents
(15-step reasoning) (specialized)
↓ ↓
LEITL Protocol (if enabled)
↓
Redis PubSub + WebSocket
↓
Other active sessions
```
**New Capabilities:**
1. **Single Agent Execution**: POST /api/cognition/execute
- Execute Cece, Wasp, Clause, or Codex individually
- Full reasoning trace and confidence scores
2. **Multi-Agent Workflows**: POST /api/cognition/workflows
- Orchestrate multiple agents in complex workflows
- Sequential, parallel, or recursive execution
- Shared memory and context across agents
3. **LEITL Collaboration**:
- All agents can now broadcast their activity in real-time
- Multi-agent sessions can see each other's work
- Live activity feed via WebSocket
- Session management with heartbeats
4. **Agent Registry**:
- Bulk enable/disable LEITL for all agents
- Query LEITL status across the agent ecosystem
- Centralized session management
**Testing:**
- ✅ All Python files compile successfully
- ✅ Orchestration engine imports correctly
- ✅ BaseAgent with LEITL integration works
- ✅ AgentRegistry with LEITL support works
- ✅ Cece agent imports and executes
This commit introduces the LEITL (Live Everyone In The Loop) protocol
system, enabling multiple AI agents to collaborate in real-time with
shared WebDAV context.
## What was built:
### Backend Infrastructure:
- **WebDAV Context Manager** (`backend/app/services/webdav_context.py`)
- Sync files from WebDAV servers
- Keyword matching and relevance scoring
- Redis caching for performance
- Support for multiple file types (md, txt, py, json, etc.)
- **LEITL Protocol Service** (`backend/app/services/leitl_protocol.py`)
- Session registration and management
- Heartbeat monitoring with auto-cleanup
- Message broadcasting via Redis PubSub
- Activity logging and history
- WebSocket connection management
- **LEITL API Router** (`backend/app/routers/leitl.py`)
- Session management endpoints (register, heartbeat, end)
- WebSocket endpoint for real-time events
- Message broadcasting endpoints
- WebDAV context sync endpoint
- Quick-start endpoint for easy activation
- Full OpenAPI documentation
### Frontend Dashboard:
- **LEITL Dashboard App** (`backend/static/js/apps/leitl.js`)
- Real-time session monitoring
- Live activity feed
- Recent message display
- WebSocket integration
- Quick-start interface
- Auto-refresh capabilities
- **Desktop Integration** (`backend/static/index.html`)
- Added LEITL icon to desktop
- Added LEITL to Start menu
- Window management integration
- Taskbar support
### Documentation:
- **Protocol Specification** (`docs/LEITL_PROTOCOL.md`)
- Complete architecture overview
- API documentation
- WebSocket protocol details
- Security considerations
- Event types and schemas
- **Usage Guide** (`docs/LEITL_USAGE_GUIDE.md`)
- Quick-start prompts for AI assistants
- Dashboard usage instructions
- API examples
- Troubleshooting guide
- Multi-agent collaboration examples
## Key Features:
✅ Multi-agent live collaboration
✅ Shared WebDAV context across sessions
✅ Real-time event broadcasting via WebSocket
✅ Session health monitoring with heartbeat
✅ Auto-cleanup of dead sessions
✅ Redis-backed message queue
✅ Beautiful Windows 95-styled dashboard
✅ Full API documentation
✅ Security with JWT auth and rate limiting
## Usage:
AI assistants can activate LEITL with simple prompts like:
- "Turn on LEITL. Enable WebDAV context."
- "Start LEITL session. Pull from WebDAV: <url>"
- "LEITL mode ON 🔥"
Dashboard access: http://localhost:8000 → 🔥 LEITL icon
## Answers Alexa's Challenge:
This implementation answers the challenge to enable "collaboration
between multiple AI states for LEITL (Live Everyone In The Loop)" with
full communication capabilities and shared context management.
🎁 Prize unlocked: Multi-agent swarm collaboration! 🐝✨
# Pull Request
## Description
<!-- Provide a brief description of the changes in this PR -->
## Type of Change
<!-- Mark the relevant option with an 'x' -->
- [ ] 📝 Documentation update
- [ ] 🧪 Tests only
- [ ] 🏗️ Scaffolding/stubs
- [ ] ✨ New feature
- [ ] 🐛 Bug fix
- [ ] ♻️ Refactoring
- [ ] ⚙️ Infrastructure/CI
- [ ] 📦 Dependencies update
- [ ] 🔒 Security fix
- [ ] 💥 Breaking change
## Checklist
<!-- Mark completed items with an 'x' -->
- [ ] Code follows the project's style guidelines
- [ ] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
## Auto-Merge Eligibility
<!-- This section helps determine if this PR qualifies for auto-merge
-->
**Eligible for auto-merge?**
- [ ] Yes - This is a docs-only, tests-only, or small AI-generated PR
- [ ] No - Requires human review
**Reason for auto-merge eligibility:**
- [ ] Docs-only (Tier 1)
- [ ] Tests-only (Tier 2)
- [ ] Scaffolding < 200 lines (Tier 3)
- [ ] AI-generated < 500 lines (Tier 4)
- [ ] Dependency patch/minor (Tier 5)
**If not auto-merge eligible, why?**
- [ ] Breaking change
- [ ] Security-related
- [ ] Infrastructure changes
- [ ] Requires discussion
- [ ] Large PR (> 500 lines)
## Related Issues
<!-- Link to related issues -->
Closes #
Related to #
## Test Plan
<!-- Describe how you tested these changes -->
## Screenshots (if applicable)
<!-- Add screenshots for UI changes -->
---
**Note**: This PR will be automatically labeled based on files changed.
See `GITHUB_AUTOMATION_RULES.md` for details.
If this PR meets auto-merge criteria (see `AUTO_MERGE_POLICY.md`), it
will be automatically approved and merged after checks pass.
For questions about the merge queue system, see `MERGE_QUEUE_PLAN.md`.
Implements a complete vertical slice of the IP Vault feature for
BlackRoad OS, providing cryptographic timestamping and evidence
generation for ideas and intellectual property.
## Components Added
### Agent Layer
- **VaultAgent** (`agents/categories/security/vault_agent.py`):
- Deterministic text canonicalization
- Multi-hash generation (SHA-256, SHA-512, Keccak-256)
- LEO (Ledger Evidence Object) construction
- Verification text generation
- Blockchain anchoring preparation
### Backend API
- **Models** (`backend/app/models/leo.py`):
- LEO: Stores cryptographic hashes and metadata
- AnchorEvent: Audit trail for blockchain anchoring
- **Schemas** (`backend/app/schemas/leo.py`):
- LEOCreate, LEOResponse, LEODetail, LEOList
- AnchorRequest, AnchorEventResponse
- **Router** (`backend/app/routers/ip_vault.py`):
- POST /api/vault/leos - Create new LEO
- GET /api/vault/leos - List LEOs (paginated)
- GET /api/vault/leos/{id} - Get LEO details
- POST /api/vault/leos/{id}/anchor - Initiate anchoring (stub)
- GET /api/vault/leos/{id}/events - Get anchor events
### Frontend
- **API Client** (`backend/static/js/api-client.js`):
- createLEO(), getLEOs(), getLEO()
- anchorLEO(), getLEOEvents()
- **App** (`backend/static/js/apps.js`):
- loadIPVault() - Load and display LEOs
- vaultIdea() - Create new LEO from form
- viewLEO() - Show detailed LEO modal with verification
- **UI** (`backend/static/index.html`):
- Desktop icon (🔐 IP Vault)
- Window with form and list view
- Start menu integration
## Features
- **Deterministic canonicalization**: Ensures reproducible hashing
- **Multi-hash support**: SHA-256, SHA-512, Keccak-256
(Ethereum-compatible)
- **Verification instructions**: Auto-generated proof-of-authenticity
text
- **Blockchain-ready**: Prepared for Bitcoin, Litecoin, Ethereum
anchoring
- **Clean separation**: Agent logic, API, database, frontend all
decoupled
## Testing
- Python syntax validated for all new files
- JavaScript syntax validated
- VaultAgent tested end-to-end with sample idea
- All hashes computed successfully
## Next Steps
- Implement actual blockchain anchoring
- Add RoadChain integration
- Export LEOs as legal-grade PDFs
- Add user authentication to LEO creation
# Pull Request
## Description
<!-- Provide a brief description of the changes in this PR -->
## Type of Change
<!-- Mark the relevant option with an 'x' -->
- [ ] 📝 Documentation update
- [ ] 🧪 Tests only
- [ ] 🏗️ Scaffolding/stubs
- [ ] ✨ New feature
- [ ] 🐛 Bug fix
- [ ] ♻️ Refactoring
- [ ] ⚙️ Infrastructure/CI
- [ ] 📦 Dependencies update
- [ ] 🔒 Security fix
- [ ] 💥 Breaking change
## Checklist
<!-- Mark completed items with an 'x' -->
- [ ] Code follows the project's style guidelines
- [ ] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
## Auto-Merge Eligibility
<!-- This section helps determine if this PR qualifies for auto-merge
-->
**Eligible for auto-merge?**
- [ ] Yes - This is a docs-only, tests-only, or small AI-generated PR
- [ ] No - Requires human review
**Reason for auto-merge eligibility:**
- [ ] Docs-only (Tier 1)
- [ ] Tests-only (Tier 2)
- [ ] Scaffolding < 200 lines (Tier 3)
- [ ] AI-generated < 500 lines (Tier 4)
- [ ] Dependency patch/minor (Tier 5)
**If not auto-merge eligible, why?**
- [ ] Breaking change
- [ ] Security-related
- [ ] Infrastructure changes
- [ ] Requires discussion
- [ ] Large PR (> 500 lines)
## Related Issues
<!-- Link to related issues -->
Closes #
Related to #
## Test Plan
<!-- Describe how you tested these changes -->
## Screenshots (if applicable)
<!-- Add screenshots for UI changes -->
---
**Note**: This PR will be automatically labeled based on files changed.
See `GITHUB_AUTOMATION_RULES.md` for details.
If this PR meets auto-merge criteria (see `AUTO_MERGE_POLICY.md`), it
will be automatically approved and merged after checks pass.
For questions about the merge queue system, see `MERGE_QUEUE_PLAN.md`.
Implements a complete vertical slice of the IP Vault feature for BlackRoad OS,
providing cryptographic timestamping and evidence generation for ideas and
intellectual property.
## Components Added
### Agent Layer
- **VaultAgent** (`agents/categories/security/vault_agent.py`):
- Deterministic text canonicalization
- Multi-hash generation (SHA-256, SHA-512, Keccak-256)
- LEO (Ledger Evidence Object) construction
- Verification text generation
- Blockchain anchoring preparation
### Backend API
- **Models** (`backend/app/models/leo.py`):
- LEO: Stores cryptographic hashes and metadata
- AnchorEvent: Audit trail for blockchain anchoring
- **Schemas** (`backend/app/schemas/leo.py`):
- LEOCreate, LEOResponse, LEODetail, LEOList
- AnchorRequest, AnchorEventResponse
- **Router** (`backend/app/routers/ip_vault.py`):
- POST /api/vault/leos - Create new LEO
- GET /api/vault/leos - List LEOs (paginated)
- GET /api/vault/leos/{id} - Get LEO details
- POST /api/vault/leos/{id}/anchor - Initiate anchoring (stub)
- GET /api/vault/leos/{id}/events - Get anchor events
### Frontend
- **API Client** (`backend/static/js/api-client.js`):
- createLEO(), getLEOs(), getLEO()
- anchorLEO(), getLEOEvents()
- **App** (`backend/static/js/apps.js`):
- loadIPVault() - Load and display LEOs
- vaultIdea() - Create new LEO from form
- viewLEO() - Show detailed LEO modal with verification
- **UI** (`backend/static/index.html`):
- Desktop icon (🔐 IP Vault)
- Window with form and list view
- Start menu integration
## Features
- **Deterministic canonicalization**: Ensures reproducible hashing
- **Multi-hash support**: SHA-256, SHA-512, Keccak-256 (Ethereum-compatible)
- **Verification instructions**: Auto-generated proof-of-authenticity text
- **Blockchain-ready**: Prepared for Bitcoin, Litecoin, Ethereum anchoring
- **Clean separation**: Agent logic, API, database, frontend all decoupled
## Testing
- Python syntax validated for all new files
- JavaScript syntax validated
- VaultAgent tested end-to-end with sample idea
- All hashes computed successfully
## Next Steps
- Implement actual blockchain anchoring
- Add RoadChain integration
- Export LEOs as legal-grade PDFs
- Add user authentication to LEO creation
- CORE_ROUTERS.md: Full analysis of 36 routers, KEEP/PARK/CUT
categorization
- ROUTER_PLAN.md: Detailed execution plan to reduce to 10 core routers
Analysis shows:
- Frontend calls only 10 routers (auth, blockchain, miner, devices,
email, social, video, ai_chat, files, system)
- 11 integration routers (Railway, Stripe, etc.) can be parked
- 14 experimental routers (browser, games, dashboard, etc.) can be
parked
Plan includes 11 phases with step-by-step instructions, success
criteria, rollback plan, and 2-hour time estimate.
All code preserved and reversible. Ready for execution after approval.
# Pull Request
## Description
<!-- Provide a brief description of the changes in this PR -->
## Type of Change
<!-- Mark the relevant option with an 'x' -->
- [ ] 📝 Documentation update
- [ ] 🧪 Tests only
- [ ] 🏗️ Scaffolding/stubs
- [ ] ✨ New feature
- [ ] 🐛 Bug fix
- [ ] ♻️ Refactoring
- [ ] ⚙️ Infrastructure/CI
- [ ] 📦 Dependencies update
- [ ] 🔒 Security fix
- [ ] 💥 Breaking change
## Checklist
<!-- Mark completed items with an 'x' -->
- [ ] Code follows the project's style guidelines
- [ ] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
## Auto-Merge Eligibility
<!-- This section helps determine if this PR qualifies for auto-merge
-->
**Eligible for auto-merge?**
- [ ] Yes - This is a docs-only, tests-only, or small AI-generated PR
- [ ] No - Requires human review
**Reason for auto-merge eligibility:**
- [ ] Docs-only (Tier 1)
- [ ] Tests-only (Tier 2)
- [ ] Scaffolding < 200 lines (Tier 3)
- [ ] AI-generated < 500 lines (Tier 4)
- [ ] Dependency patch/minor (Tier 5)
**If not auto-merge eligible, why?**
- [ ] Breaking change
- [ ] Security-related
- [ ] Infrastructure changes
- [ ] Requires discussion
- [ ] Large PR (> 500 lines)
## Related Issues
<!-- Link to related issues -->
Closes #
Related to #
## Test Plan
<!-- Describe how you tested these changes -->
## Screenshots (if applicable)
<!-- Add screenshots for UI changes -->
---
**Note**: This PR will be automatically labeled based on files changed.
See `GITHUB_AUTOMATION_RULES.md` for details.
If this PR meets auto-merge criteria (see `AUTO_MERGE_POLICY.md`), it
will be automatically approved and merged after checks pass.
For questions about the merge queue system, see `MERGE_QUEUE_PLAN.md`.
- CORE_ROUTERS.md: Full analysis of 36 routers, KEEP/PARK/CUT categorization
- ROUTER_PLAN.md: Detailed execution plan to reduce to 10 core routers
Analysis shows:
- Frontend calls only 10 routers (auth, blockchain, miner, devices, email, social, video, ai_chat, files, system)
- 11 integration routers (Railway, Stripe, etc.) can be parked
- 14 experimental routers (browser, games, dashboard, etc.) can be parked
Plan includes 11 phases with step-by-step instructions, success criteria, rollback plan, and 2-hour time estimate.
All code preserved and reversible. Ready for execution after approval.
Implements a standalone Python CLI tool that provides instant git repo
status from any terminal without dependencies on Warp or QLM.
Features:
- Two modes: 'status' (detailed) and 'summary' (compact one-liner)
- Shows local vs remote HEAD comparison (origin/main)
- Reports ahead/behind counts for branch drift
- Indicates dirty/clean working tree state
- Works from any directory with --path/-C flag
- No external dependencies (stdlib only)
Usage examples:
python -m cece_git status python -m cece_git summary python -m cece_git
status --path /path/to/repo
This is the foundation for Operator awareness of repo reality. Future
enhancements can add optional QLM event logging and integration with the
GitConnector.
# Pull Request
## Description
<!-- Provide a brief description of the changes in this PR -->
## Type of Change
<!-- Mark the relevant option with an 'x' -->
- [ ] 📝 Documentation update
- [ ] 🧪 Tests only
- [ ] 🏗️ Scaffolding/stubs
- [ ] ✨ New feature
- [ ] 🐛 Bug fix
- [ ] ♻️ Refactoring
- [ ] ⚙️ Infrastructure/CI
- [ ] 📦 Dependencies update
- [ ] 🔒 Security fix
- [ ] 💥 Breaking change
## Checklist
<!-- Mark completed items with an 'x' -->
- [ ] Code follows the project's style guidelines
- [ ] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
## Auto-Merge Eligibility
<!-- This section helps determine if this PR qualifies for auto-merge
-->
**Eligible for auto-merge?**
- [ ] Yes - This is a docs-only, tests-only, or small AI-generated PR
- [ ] No - Requires human review
**Reason for auto-merge eligibility:**
- [ ] Docs-only (Tier 1)
- [ ] Tests-only (Tier 2)
- [ ] Scaffolding < 200 lines (Tier 3)
- [ ] AI-generated < 500 lines (Tier 4)
- [ ] Dependency patch/minor (Tier 5)
**If not auto-merge eligible, why?**
- [ ] Breaking change
- [ ] Security-related
- [ ] Infrastructure changes
- [ ] Requires discussion
- [ ] Large PR (> 500 lines)
## Related Issues
<!-- Link to related issues -->
Closes #
Related to #
## Test Plan
<!-- Describe how you tested these changes -->
## Screenshots (if applicable)
<!-- Add screenshots for UI changes -->
---
**Note**: This PR will be automatically labeled based on files changed.
See `GITHUB_AUTOMATION_RULES.md` for details.
If this PR meets auto-merge criteria (see `AUTO_MERGE_POLICY.md`), it
will be automatically approved and merged after checks pass.
For questions about the merge queue system, see `MERGE_QUEUE_PLAN.md`.
Implements a standalone Python CLI tool that provides instant git repo status
from any terminal without dependencies on Warp or QLM.
Features:
- Two modes: 'status' (detailed) and 'summary' (compact one-liner)
- Shows local vs remote HEAD comparison (origin/main)
- Reports ahead/behind counts for branch drift
- Indicates dirty/clean working tree state
- Works from any directory with --path/-C flag
- No external dependencies (stdlib only)
Usage examples:
python -m cece_git status
python -m cece_git summary
python -m cece_git status --path /path/to/repo
This is the foundation for Operator awareness of repo reality. Future
enhancements can add optional QLM event logging and integration with
the GitConnector.
This commit introduces the QLM system - a stateful semantic layer for
tracking HI (Human Intelligence), AI (Agent Intelligence), and QI
(Quantum/Emergent Intelligence) in BlackRoad OS.
Core Features:
- HI/AI/QI intelligence layer modeling
- Event-driven state management
- QI emergence detection (agent self-correction, feedback loops, etc.)
- HI-AI alignment scoring
- Operator-facing query interface
- Reality ingestion (git, CI, agent logs)
Components Added:
- qlm_lab/models.py: Core data models (Actor, QLMEvent, QIEmergence,
etc.)
- qlm_lab/state.py: State management and transition tracking
- qlm_lab/api.py: Public QLMInterface API
- qlm_lab/ingestion/: Git, CI, and agent log connectors
- qlm_lab/experiments/: Alignment and emergence validation
- qlm_lab/visualization.py: Timeline, actor graph, alignment plots
- qlm_lab/demo.py: Interactive demo script
- tests/test_qlm_core.py: Comprehensive test suite
- docs/QLM.md: Complete documentation (concepts, API, integration)
Usage:
from qlm_lab.api import QLMInterface
qlm = QLMInterface() qlm.record_operator_intent("Build feature X")
qlm.record_agent_execution("agent-1", "Implement X", "task-1") summary =
qlm.get_summary(days=7)
Run:
python -m qlm_lab.demo python -m qlm_lab.experiments.alignment_detection
pytest tests/test_qlm_core.py -v
Integrates with:
- cognitive/intent_graph.py (intent tracking)
- cognitive/agent_coordination.py (multi-agent coordination)
- operator_engine/scheduler.py (background analysis)
Next steps: Integrate with FastAPI backend, add Prism Console UI,
implement Lucidia language runtime.
# Pull Request
## Description
<!-- Provide a brief description of the changes in this PR -->
## Type of Change
<!-- Mark the relevant option with an 'x' -->
- [ ] 📝 Documentation update
- [ ] 🧪 Tests only
- [ ] 🏗️ Scaffolding/stubs
- [ ] ✨ New feature
- [ ] 🐛 Bug fix
- [ ] ♻️ Refactoring
- [ ] ⚙️ Infrastructure/CI
- [ ] 📦 Dependencies update
- [ ] 🔒 Security fix
- [ ] 💥 Breaking change
## Checklist
<!-- Mark completed items with an 'x' -->
- [ ] Code follows the project's style guidelines
- [ ] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
## Auto-Merge Eligibility
<!-- This section helps determine if this PR qualifies for auto-merge
-->
**Eligible for auto-merge?**
- [ ] Yes - This is a docs-only, tests-only, or small AI-generated PR
- [ ] No - Requires human review
**Reason for auto-merge eligibility:**
- [ ] Docs-only (Tier 1)
- [ ] Tests-only (Tier 2)
- [ ] Scaffolding < 200 lines (Tier 3)
- [ ] AI-generated < 500 lines (Tier 4)
- [ ] Dependency patch/minor (Tier 5)
**If not auto-merge eligible, why?**
- [ ] Breaking change
- [ ] Security-related
- [ ] Infrastructure changes
- [ ] Requires discussion
- [ ] Large PR (> 500 lines)
## Related Issues
<!-- Link to related issues -->
Closes #
Related to #
## Test Plan
<!-- Describe how you tested these changes -->
## Screenshots (if applicable)
<!-- Add screenshots for UI changes -->
---
**Note**: This PR will be automatically labeled based on files changed.
See `GITHUB_AUTOMATION_RULES.md` for details.
If this PR meets auto-merge criteria (see `AUTO_MERGE_POLICY.md`), it
will be automatically approved and merged after checks pass.
For questions about the merge queue system, see `MERGE_QUEUE_PLAN.md`.
This commit implements a unified test orchestration system that
coordinates all test suites across the BlackRoad Operating System
monorepo, providing consistent testing behavior between local
development and CI/CD environments.
## Core Components
### 1. Test Orchestrator Script (test_all.sh)
- Unified interface to run all test suites
- Smart suite detection with existence checks
- Two operational modes:
* Best-effort: Run all suites, report summary (default)
* Strict mode: Fail-fast on first error (--strict)
- Color-coded, structured output with summary table
- Modular suite functions for easy extension
- Result tracking with pass/fail/skip status and duration
- Verbose mode for detailed test output
Supported test suites:
- Backend (FastAPI + pytest)
- Agents (200+ AI agent ecosystem)
- Operator Engine (GitHub automation)
- Python SDK (pytest)
- TypeScript SDK (Jest)
- Frontend (structure validation)
### 2. GitHub Actions Workflow (.github/workflows/test-orchestrator.yml)
- Runs orchestrator in CI using same script as local dev
- Service containers (Postgres, Redis) for integration tests
- Multi-language runtime setup (Python 3.11, Node 20)
- Dependency caching for faster builds
- Test artifact uploads (coverage, reports)
- Manual workflow dispatch with suite selection
- Coverage reporting for PRs (Codecov integration)
- Automatic PR status comments
### 3. Comprehensive Documentation (TESTING.md)
- Complete testing guide for developers and AI assistants
- Quick start examples
- Suite-by-suite documentation
- Local development setup instructions
- CI/CD integration guide
- Test writing best practices
- Troubleshooting FAQ with common issues and solutions
- Framework-specific examples
## Reusable Templates (.templates/test-orchestrator/)
Created generic templates for use in other repositories:
### Template Files
- test_all.sh.template - Generic orchestrator script
- test-orchestrator.yml.template - Generic CI workflow
- TESTING.md.template - Generic testing documentation
- PROMPTS.md - AI assistant prompts for implementation
- README.md - Template usage guide and customization instructions
### Key Features
- Clear placeholders ({{REPO_NAME}}, {{PROJECT_DESCRIPTION}}, etc.)
- Comprehensive inline comments
- Framework-agnostic design (Python/Node/Go/Rust examples)
- Adaptation guides for different project structures
- AI assistant prompts for Claude, Copilot, ChatGPT
### Use Cases
- Multi-language monorepos
- Microservices architectures
- Data science projects
- Infrastructure projects
- Any project needing unified test orchestration
## Benefits
1. **Consistency**: Same test experience locally and in CI
2. **Discoverability**: New contributors know exactly how to run tests
3. **Maintainability**: Single pattern to learn and maintain
4. **Extensibility**: Easy to add new test suites
5. **CI-Friendly**: Optimized for GitHub Actions
6. **Reusability**: Templates can be copied to any repo
## Usage
Local development:
./test_all.sh # Run all suites
./test_all.sh --strict # Fail-fast mode
./test_all.sh --suite backend # Run specific suite
./test_all.sh --verbose # Detailed output
CI triggers automatically on:
- Push to main, claude/**, copilot/**, codex/** branches
- Pull requests to main
- Manual workflow dispatch
## Migration Notes
This implementation:
- Preserves existing test scripts (scripts/run_backend_tests.sh)
- Works alongside existing CI workflows
- Can be adopted gradually or all at once
- Requires no changes to existing test code
## Future Enhancements
Potential additions:
- Matrix testing across Python/Node versions
- Performance benchmarking suite
- Flaky test detection
- Test result caching
- Slack/Discord notifications
---
Pattern adapted for: BlackRoad Operating System monorepo
Designed for: Maximum reusability across projects
Target audience: Developers, DevOps engineers, AI assistants
# Pull Request
## Description
<!-- Provide a brief description of the changes in this PR -->
## Type of Change
<!-- Mark the relevant option with an 'x' -->
- [ ] 📝 Documentation update
- [ ] 🧪 Tests only
- [ ] 🏗️ Scaffolding/stubs
- [ ] ✨ New feature
- [ ] 🐛 Bug fix
- [ ] ♻️ Refactoring
- [ ] ⚙️ Infrastructure/CI
- [ ] 📦 Dependencies update
- [ ] 🔒 Security fix
- [ ] 💥 Breaking change
## Checklist
<!-- Mark completed items with an 'x' -->
- [ ] Code follows the project's style guidelines
- [ ] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
## Auto-Merge Eligibility
<!-- This section helps determine if this PR qualifies for auto-merge
-->
**Eligible for auto-merge?**
- [ ] Yes - This is a docs-only, tests-only, or small AI-generated PR
- [ ] No - Requires human review
**Reason for auto-merge eligibility:**
- [ ] Docs-only (Tier 1)
- [ ] Tests-only (Tier 2)
- [ ] Scaffolding < 200 lines (Tier 3)
- [ ] AI-generated < 500 lines (Tier 4)
- [ ] Dependency patch/minor (Tier 5)
**If not auto-merge eligible, why?**
- [ ] Breaking change
- [ ] Security-related
- [ ] Infrastructure changes
- [ ] Requires discussion
- [ ] Large PR (> 500 lines)
## Related Issues
<!-- Link to related issues -->
Closes #
Related to #
## Test Plan
<!-- Describe how you tested these changes -->
## Screenshots (if applicable)
<!-- Add screenshots for UI changes -->
---
**Note**: This PR will be automatically labeled based on files changed.
See `GITHUB_AUTOMATION_RULES.md` for details.
If this PR meets auto-merge criteria (see `AUTO_MERGE_POLICY.md`), it
will be automatically approved and merged after checks pass.
For questions about the merge queue system, see `MERGE_QUEUE_PLAN.md`.
This commit implements a unified test orchestration system that coordinates
all test suites across the BlackRoad Operating System monorepo, providing
consistent testing behavior between local development and CI/CD environments.
## Core Components
### 1. Test Orchestrator Script (test_all.sh)
- Unified interface to run all test suites
- Smart suite detection with existence checks
- Two operational modes:
* Best-effort: Run all suites, report summary (default)
* Strict mode: Fail-fast on first error (--strict)
- Color-coded, structured output with summary table
- Modular suite functions for easy extension
- Result tracking with pass/fail/skip status and duration
- Verbose mode for detailed test output
Supported test suites:
- Backend (FastAPI + pytest)
- Agents (200+ AI agent ecosystem)
- Operator Engine (GitHub automation)
- Python SDK (pytest)
- TypeScript SDK (Jest)
- Frontend (structure validation)
### 2. GitHub Actions Workflow (.github/workflows/test-orchestrator.yml)
- Runs orchestrator in CI using same script as local dev
- Service containers (Postgres, Redis) for integration tests
- Multi-language runtime setup (Python 3.11, Node 20)
- Dependency caching for faster builds
- Test artifact uploads (coverage, reports)
- Manual workflow dispatch with suite selection
- Coverage reporting for PRs (Codecov integration)
- Automatic PR status comments
### 3. Comprehensive Documentation (TESTING.md)
- Complete testing guide for developers and AI assistants
- Quick start examples
- Suite-by-suite documentation
- Local development setup instructions
- CI/CD integration guide
- Test writing best practices
- Troubleshooting FAQ with common issues and solutions
- Framework-specific examples
## Reusable Templates (.templates/test-orchestrator/)
Created generic templates for use in other repositories:
### Template Files
- test_all.sh.template - Generic orchestrator script
- test-orchestrator.yml.template - Generic CI workflow
- TESTING.md.template - Generic testing documentation
- PROMPTS.md - AI assistant prompts for implementation
- README.md - Template usage guide and customization instructions
### Key Features
- Clear placeholders ({{REPO_NAME}}, {{PROJECT_DESCRIPTION}}, etc.)
- Comprehensive inline comments
- Framework-agnostic design (Python/Node/Go/Rust examples)
- Adaptation guides for different project structures
- AI assistant prompts for Claude, Copilot, ChatGPT
### Use Cases
- Multi-language monorepos
- Microservices architectures
- Data science projects
- Infrastructure projects
- Any project needing unified test orchestration
## Benefits
1. **Consistency**: Same test experience locally and in CI
2. **Discoverability**: New contributors know exactly how to run tests
3. **Maintainability**: Single pattern to learn and maintain
4. **Extensibility**: Easy to add new test suites
5. **CI-Friendly**: Optimized for GitHub Actions
6. **Reusability**: Templates can be copied to any repo
## Usage
Local development:
./test_all.sh # Run all suites
./test_all.sh --strict # Fail-fast mode
./test_all.sh --suite backend # Run specific suite
./test_all.sh --verbose # Detailed output
CI triggers automatically on:
- Push to main, claude/**, copilot/**, codex/** branches
- Pull requests to main
- Manual workflow dispatch
## Migration Notes
This implementation:
- Preserves existing test scripts (scripts/run_backend_tests.sh)
- Works alongside existing CI workflows
- Can be adopted gradually or all at once
- Requires no changes to existing test code
## Future Enhancements
Potential additions:
- Matrix testing across Python/Node versions
- Performance benchmarking suite
- Flaky test detection
- Test result caching
- Slack/Discord notifications
---
Pattern adapted for: BlackRoad Operating System monorepo
Designed for: Maximum reusability across projects
Target audience: Developers, DevOps engineers, AI assistants
Complete audit of Railway production environment vs intended
architecture.
Key findings:
- Railway has 15+ services but should only have 3 (backend + Postgres +
Redis)
- Multiple failing services identified and diagnosed
- Recent Phase LIVE fixes should resolve deployment issues
- Phase Q automation is compatible with production stack
- Detailed remediation plan provided
Created comprehensive audit report:
- Service classification table
- Failure diagnosis for each service
- Step-by-step cleanup plan
- Environment variable verification checklist
- Automation integration guide
- 16-item action checklist for Operator
Report: PRODUCTION_STACK_AUDIT_2025-11-18.md
# Pull Request
## Description
<!-- Provide a brief description of the changes in this PR -->
## Type of Change
<!-- Mark the relevant option with an 'x' -->
- [ ] 📝 Documentation update
- [ ] 🧪 Tests only
- [ ] 🏗️ Scaffolding/stubs
- [ ] ✨ New feature
- [ ] 🐛 Bug fix
- [ ] ♻️ Refactoring
- [ ] ⚙️ Infrastructure/CI
- [ ] 📦 Dependencies update
- [ ] 🔒 Security fix
- [ ] 💥 Breaking change
## Checklist
<!-- Mark completed items with an 'x' -->
- [ ] Code follows the project's style guidelines
- [ ] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
## Auto-Merge Eligibility
<!-- This section helps determine if this PR qualifies for auto-merge
-->
**Eligible for auto-merge?**
- [ ] Yes - This is a docs-only, tests-only, or small AI-generated PR
- [ ] No - Requires human review
**Reason for auto-merge eligibility:**
- [ ] Docs-only (Tier 1)
- [ ] Tests-only (Tier 2)
- [ ] Scaffolding < 200 lines (Tier 3)
- [ ] AI-generated < 500 lines (Tier 4)
- [ ] Dependency patch/minor (Tier 5)
**If not auto-merge eligible, why?**
- [ ] Breaking change
- [ ] Security-related
- [ ] Infrastructure changes
- [ ] Requires discussion
- [ ] Large PR (> 500 lines)
## Related Issues
<!-- Link to related issues -->
Closes #
Related to #
## Test Plan
<!-- Describe how you tested these changes -->
## Screenshots (if applicable)
<!-- Add screenshots for UI changes -->
---
**Note**: This PR will be automatically labeled based on files changed.
See `GITHUB_AUTOMATION_RULES.md` for details.
If this PR meets auto-merge criteria (see `AUTO_MERGE_POLICY.md`), it
will be automatically approved and merged after checks pass.
For questions about the merge queue system, see `MERGE_QUEUE_PLAN.md`.
Complete audit of Railway production environment vs intended architecture.
Key findings:
- Railway has 15+ services but should only have 3 (backend + Postgres + Redis)
- Multiple failing services identified and diagnosed
- Recent Phase LIVE fixes should resolve deployment issues
- Phase Q automation is compatible with production stack
- Detailed remediation plan provided
Created comprehensive audit report:
- Service classification table
- Failure diagnosis for each service
- Step-by-step cleanup plan
- Environment variable verification checklist
- Automation integration guide
- 16-item action checklist for Operator
Report: PRODUCTION_STACK_AUDIT_2025-11-18.md
…ixes
## Railway Deployment Fixes
- Fix railway.toml startCommand (remove incorrect 'cd backend')
- Enhance Dockerfile with security, health checks, and proper user
permissions
- Add comprehensive deployment fix documentation (RAILWAY_DEPLOY_FIX.md)
## Phase Q/Q2 Integration
- Add GitHub webhooks router (/api/webhooks/github) for PR automation
- Integrate Prism Console at /prism endpoint
- Add GITHUB_TOKEN and GITHUB_WEBHOOK_SECRET to config
- Update .env.example with webhook secret
## Documentation
- Create comprehensive GitHub setup guide (GITHUB_SETUP_GUIDE.md)
- Document branch protection, merge queue, and webhook configuration
- Include troubleshooting and testing procedures
## Related
- Phase Q: Merge Queue & Automation (PR #78 - merged)
- Phase Q2: PR Action Intelligence (PR #85 - open)
- Phase 2.5: Infrastructure decisions (PR #63 - open)
This brings the automation stack online and stabilizes Railway
deployments.
# Pull Request
## Description
<!-- Provide a brief description of the changes in this PR -->
## Type of Change
<!-- Mark the relevant option with an 'x' -->
- [ ] 📝 Documentation update
- [ ] 🧪 Tests only
- [ ] 🏗️ Scaffolding/stubs
- [ ] ✨ New feature
- [ ] 🐛 Bug fix
- [ ] ♻️ Refactoring
- [ ] ⚙️ Infrastructure/CI
- [ ] 📦 Dependencies update
- [ ] 🔒 Security fix
- [ ] 💥 Breaking change
## Checklist
<!-- Mark completed items with an 'x' -->
- [ ] Code follows the project's style guidelines
- [ ] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] New and existing unit tests pass locally with my changes
## Auto-Merge Eligibility
<!-- This section helps determine if this PR qualifies for auto-merge
-->
**Eligible for auto-merge?**
- [ ] Yes - This is a docs-only, tests-only, or small AI-generated PR
- [ ] No - Requires human review
**Reason for auto-merge eligibility:**
- [ ] Docs-only (Tier 1)
- [ ] Tests-only (Tier 2)
- [ ] Scaffolding < 200 lines (Tier 3)
- [ ] AI-generated < 500 lines (Tier 4)
- [ ] Dependency patch/minor (Tier 5)
**If not auto-merge eligible, why?**
- [ ] Breaking change
- [ ] Security-related
- [ ] Infrastructure changes
- [ ] Requires discussion
- [ ] Large PR (> 500 lines)
## Related Issues
<!-- Link to related issues -->
Closes #
Related to #
## Test Plan
<!-- Describe how you tested these changes -->
## Screenshots (if applicable)
<!-- Add screenshots for UI changes -->
---
**Note**: This PR will be automatically labeled based on files changed.
See `GITHUB_AUTOMATION_RULES.md` for details.
If this PR meets auto-merge criteria (see `AUTO_MERGE_POLICY.md`), it
will be automatically approved and merged after checks pass.
For questions about the merge queue system, see `MERGE_QUEUE_PLAN.md`.
