…nt guides
This implements the "Big Kahuna" master orchestration plan to get
BlackRoad OS fully online and deployable without manual PR management.
## Backend Service (blackroad-core)
- Add /version endpoint with build metadata
- Prism Console already mounted at /prism
- Health check at /health
- Comprehensive API health at /api/health/summary
## Operator Service (blackroad-operator)
- Add /version endpoint with build metadata
- Create requirements.txt for dependencies
- Create Dockerfile for containerization
- Create railway.toml for Railway deployment
- Health check at /health
## Infrastructure
- Consolidate railway.toml for monorepo multi-service deployment
- Backend service (Dockerfile-based)
- Operator service (Nixpacks-based)
- Remove conflicting railway.json
## Documentation
- Add DEPLOYMENT_SMOKE_TEST_GUIDE.md
- Complete deployment instructions (local + Railway)
- Automated smoke test suite
- Troubleshooting guide
- Monitoring & health check setup
- Add infra/DNS_CLOUDFLARE_PLAN.md
- Complete DNS record table
- Cloudflare configuration steps
- Health check configuration
- Security best practices
## Testing
- Add scripts/smoke-test.sh for automated endpoint testing
- Validates all health and version endpoints
- Supports both Railway and Cloudflare URLs
## Result
Alexa can now:
1. Push to main → GitHub Actions deploys to Railway
2. Configure Cloudflare DNS (one-time setup)
3. Run smoke tests to verify everything works
4. Visit https://os.blackroad.systems and use the OS
No manual PR merging, no config juggling, no infrastructure babysitting.
# 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 implements the "Big Kahuna" master orchestration plan to get BlackRoad OS
fully online and deployable without manual PR management.
## Backend Service (blackroad-core)
- Add /version endpoint with build metadata
- Prism Console already mounted at /prism
- Health check at /health
- Comprehensive API health at /api/health/summary
## Operator Service (blackroad-operator)
- Add /version endpoint with build metadata
- Create requirements.txt for dependencies
- Create Dockerfile for containerization
- Create railway.toml for Railway deployment
- Health check at /health
## Infrastructure
- Consolidate railway.toml for monorepo multi-service deployment
- Backend service (Dockerfile-based)
- Operator service (Nixpacks-based)
- Remove conflicting railway.json
## Documentation
- Add DEPLOYMENT_SMOKE_TEST_GUIDE.md
- Complete deployment instructions (local + Railway)
- Automated smoke test suite
- Troubleshooting guide
- Monitoring & health check setup
- Add infra/DNS_CLOUDFLARE_PLAN.md
- Complete DNS record table
- Cloudflare configuration steps
- Health check configuration
- Security best practices
## Testing
- Add scripts/smoke-test.sh for automated endpoint testing
- Validates all health and version endpoints
- Supports both Railway and Cloudflare URLs
## Result
Alexa can now:
1. Push to main → GitHub Actions deploys to Railway
2. Configure Cloudflare DNS (one-time setup)
3. Run smoke tests to verify everything works
4. Visit https://os.blackroad.systems and use the OS
No manual PR merging, no config juggling, no infrastructure babysitting.
This commit implements "entity SEO" for BlackRoad OS to ensure correct
entity recognition by both external LLMs and internal agents, and to
clearly distinguish BlackRoad from BlackRock.
New Files:
- ENTITIES.md: Canonical brand & entity reference with system prompt
templates
- docs/about-blackroad-os.md: Complete "About" page with vision and tech
stack
- docs/blackroad-vs-blackrock.md: FAQ page explicitly disambiguating the
two entities
- docs/github-metadata-updates.md: Reference for GitHub org/repo
descriptions
Updated Files:
- README.md: Added entity header with core entities and disambiguation
note
- CLAUDE.md: Added "Entity Grounding & Brand Context" section with
system prompt template
Key Features:
- Canonical entity definitions (Alexa, BlackRoad, Cecilia, Lucidia)
- Disambiguation rules to prevent BlackRoad/BlackRock confusion
- System prompt templates for agent grounding (ATLAS_BRAND_CONTEXT_v1)
- Public-facing copy for SEO and external model training
- GitHub metadata recommendations for discoverability
This creates a two-layer approach:
1. External SEO: Web pages, READMEs, docs (training data for public
models)
2. Internal prompt-SEO: System prompts, context packs (hardwired reality
for agents)
# 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 "entity SEO" for BlackRoad OS to ensure correct
entity recognition by both external LLMs and internal agents, and to
clearly distinguish BlackRoad from BlackRock.
New Files:
- ENTITIES.md: Canonical brand & entity reference with system prompt templates
- docs/about-blackroad-os.md: Complete "About" page with vision and tech stack
- docs/blackroad-vs-blackrock.md: FAQ page explicitly disambiguating the two entities
- docs/github-metadata-updates.md: Reference for GitHub org/repo descriptions
Updated Files:
- README.md: Added entity header with core entities and disambiguation note
- CLAUDE.md: Added "Entity Grounding & Brand Context" section with system prompt template
Key Features:
- Canonical entity definitions (Alexa, BlackRoad, Cecilia, Lucidia)
- Disambiguation rules to prevent BlackRoad/BlackRock confusion
- System prompt templates for agent grounding (ATLAS_BRAND_CONTEXT_v1)
- Public-facing copy for SEO and external model training
- GitHub metadata recommendations for discoverability
This creates a two-layer approach:
1. External SEO: Web pages, READMEs, docs (training data for public models)
2. Internal prompt-SEO: System prompts, context packs (hardwired reality for agents)
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
