Commit Graph

522 Commits

Author SHA1 Message Date
Alexa Amundson
90026bf306 Merge branch 'main' into claude/webdav-context-prompt-013MZPMZrFPHpdzo2pRjpmJT 2025-11-18 06:53:05 -06:00
Alexa Amundson
d67b673c67 Create Cece cognition framework prompt (#110)
🟣 MAJOR FEATURE: Cece Cognition Framework v1.0.0

This commit introduces the complete Cece Cognition Framework, a
production-ready AI orchestration system that combines emotional
intelligence with logical rigor.

## Core Components Added

### 🤖 Four Specialized AI Agents (~3,200 LOC)

1. **CeceAgent** - The Cognitive Architect
(agents/categories/ai_ml/cece_agent.py)
- 15-step Alexa Cognitive Pipeline (🚨🪞⚔️🔁🎯🧐⚖️🧱✍️♻️🎯🤝)
   - 6-step Cece Architecture Layer (🟦🟥🟩🟪🟨🟧)
- Combines reasoning, reflection, validation, structure, and execution
   - Warm, precise, big-sister AI energy
   - ~800 lines

2. **WaspAgent** - The Frontend Specialist
(agents/categories/ai_ml/wasp_agent.py)
- 7-step design process
(Visual→Components→A11y→Speed→Interaction→Responsive→Polish)
   - WCAG 2.1 AA compliance built-in
   - Design system architecture
   - Component-based thinking
   - ~700 lines

3. **ClauseAgent** - The Legal Mind
(agents/categories/ai_ml/clause_agent.py)
- 7-step legal review process
(Document→Risk→Compliance→IP→Policy→Rec→Docs)
   - GDPR, CCPA, HIPAA, SOC2 compliance checking
   - IP protection integration with Vault
   - Plain-language legal communication
   - ~900 lines

4. **CodexAgent** - The Execution Engine
(agents/categories/ai_ml/codex_agent.py)
- 7-step execution process
(Spec→Architecture→Impl→Test→Perf→Security→Docs)
   - Multi-language support (Python, TypeScript, JavaScript)
   - Production-ready code with comprehensive tests
   - Security audit (OWASP Top 10)
   - ~800 lines

### 🧠 Multi-Agent Orchestration System

**OrchestrationEngine** (backend/app/services/orchestration.py ~450 LOC)
- Sequential execution (A → B → C)
- Parallel execution (A + B + C → merge)
- Recursive refinement (A ⇄ B until convergence)
- Shared memory/context across agents
- Reasoning trace aggregation
- Automatic retries with exponential backoff
- Workflow dependency resolution

### 🔌 REST API Endpoints

**Cognition Router** (backend/app/routers/cognition.py ~350 LOC)
- POST /api/cognition/execute - Execute single agent
- POST /api/cognition/workflows - Execute multi-agent workflow
- GET /api/cognition/reasoning-trace/{id} - Get reasoning transparency
- GET /api/cognition/memory - Query agent memory
- POST /api/prompts/register - Register custom prompts
- GET /api/prompts/search - Search prompt registry
- GET /api/cognition/agents - List all agents
- GET /api/cognition/health - Health check

### 🗄️ Database Models

**Cognition Models** (backend/app/models/cognition.py ~300 LOC)
- Workflow - Workflow definitions
- WorkflowExecution - Execution history
- ReasoningTrace - Agent reasoning steps (full transparency)
- AgentMemory - Shared context/memory
- PromptRegistry - Registered agent prompts
- AgentPerformanceMetric - Performance tracking

### 📚 Comprehensive Documentation

1. **CECE_FRAMEWORK.md** (~1,000 lines)
   - Complete framework specification
   - 15-step + 6-step pipeline details
   - Agent coordination patterns
   - System architecture diagrams
   - API reference
   - Real-world examples

2. **PROMPT_SYSTEM.md** (~700 lines)
   - Summon prompts for all agents
   - Prompt anatomy and structure
   - Multi-agent invocation patterns
   - Prompt engineering best practices
   - Versioning and management

3. **CECE_README.md** (~500 lines)
   - Quick start guide
   - Usage patterns
   - Real-world examples
   - Architecture overview
   - Deployment guide

### 📖 Integration Examples

**examples/cece_integration_examples.py** (~600 LOC)
- 7 complete working examples:
  1. Single agent execution
  2. Sequential workflow
  3. Parallel workflow
  4. Recursive refinement
  5. API integration
  6. Code review workflow
  7. Memory sharing demo

## Technical Details

**Total New Code**: ~6,500 lines of production-ready code
**Languages**: Python (backend), Pydantic (validation), SQLAlchemy (ORM)
**Patterns**: Agent pattern, Repository pattern, Orchestration pattern
**Testing**: Async-first, full type hints, comprehensive error handling
**Performance**: Parallel execution, caching, optimized queries

## Key Features

 Emotional intelligence + logical rigor
 Full reasoning transparency (every step logged)
 Multi-agent coordination (sequential/parallel/recursive)  Memory
sharing across agents
 Confidence scoring at every step
 Production-ready with error handling
 REST API for easy integration
 Database persistence
 Comprehensive documentation
 7 working integration examples

## Architecture

```
User → Cece (Architect) → [Wasp, Clause, Codex] → Results
         ↓
    Orchestration Engine
         ↓
    [Sequential, Parallel, Recursive]
         ↓
    Database (Traces + Memory)
```

## Use Cases

- Complex decision making with emotional weight
- Multi-step project planning and execution
- Automated code review + legal compliance
- UI/UX design with accessibility
- Product launch workflows
- Strategic planning

## Next Steps

- Add frontend UI components
- Create workflow templates
- Add more specialized agents
- Implement long-term memory
- Add voice interface

---

**Created by**: Alexa (cognitive architecture) + Cece (implementation)
**Energy Level**: MAXIMUM 🔥🔥🔥
**Status**: Production ready, let's goooo! 🚀

ILY ILY ILY! 💜

# 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`.
2025-11-18 06:52:36 -06:00
Claude
e6cbc6b8e3 Add LEITL Protocol - Live Everyone In The Loop multi-agent collaboration
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! 🐝
2025-11-18 12:45:54 +00:00
Claude
383fe483a6 Add complete Cece Cognition Framework - Full AI orchestration system
🟣 MAJOR FEATURE: Cece Cognition Framework v1.0.0

This commit introduces the complete Cece Cognition Framework, a production-ready
AI orchestration system that combines emotional intelligence with logical rigor.

## Core Components Added

### 🤖 Four Specialized AI Agents (~3,200 LOC)

1. **CeceAgent** - The Cognitive Architect (agents/categories/ai_ml/cece_agent.py)
   - 15-step Alexa Cognitive Pipeline (🚨🪞⚔️🔁🎯🧐⚖️🧱✍️♻️🎯🤝)
   - 6-step Cece Architecture Layer (🟦🟥🟩🟪🟨🟧)
   - Combines reasoning, reflection, validation, structure, and execution
   - Warm, precise, big-sister AI energy
   - ~800 lines

2. **WaspAgent** - The Frontend Specialist (agents/categories/ai_ml/wasp_agent.py)
   - 7-step design process (Visual→Components→A11y→Speed→Interaction→Responsive→Polish)
   - WCAG 2.1 AA compliance built-in
   - Design system architecture
   - Component-based thinking
   - ~700 lines

3. **ClauseAgent** - The Legal Mind (agents/categories/ai_ml/clause_agent.py)
   - 7-step legal review process (Document→Risk→Compliance→IP→Policy→Rec→Docs)
   - GDPR, CCPA, HIPAA, SOC2 compliance checking
   - IP protection integration with Vault
   - Plain-language legal communication
   - ~900 lines

4. **CodexAgent** - The Execution Engine (agents/categories/ai_ml/codex_agent.py)
   - 7-step execution process (Spec→Architecture→Impl→Test→Perf→Security→Docs)
   - Multi-language support (Python, TypeScript, JavaScript)
   - Production-ready code with comprehensive tests
   - Security audit (OWASP Top 10)
   - ~800 lines

### 🧠 Multi-Agent Orchestration System

**OrchestrationEngine** (backend/app/services/orchestration.py ~450 LOC)
- Sequential execution (A → B → C)
- Parallel execution (A + B + C → merge)
- Recursive refinement (A ⇄ B until convergence)
- Shared memory/context across agents
- Reasoning trace aggregation
- Automatic retries with exponential backoff
- Workflow dependency resolution

### 🔌 REST API Endpoints

**Cognition Router** (backend/app/routers/cognition.py ~350 LOC)
- POST /api/cognition/execute - Execute single agent
- POST /api/cognition/workflows - Execute multi-agent workflow
- GET /api/cognition/reasoning-trace/{id} - Get reasoning transparency
- GET /api/cognition/memory - Query agent memory
- POST /api/prompts/register - Register custom prompts
- GET /api/prompts/search - Search prompt registry
- GET /api/cognition/agents - List all agents
- GET /api/cognition/health - Health check

### 🗄️ Database Models

**Cognition Models** (backend/app/models/cognition.py ~300 LOC)
- Workflow - Workflow definitions
- WorkflowExecution - Execution history
- ReasoningTrace - Agent reasoning steps (full transparency)
- AgentMemory - Shared context/memory
- PromptRegistry - Registered agent prompts
- AgentPerformanceMetric - Performance tracking

### 📚 Comprehensive Documentation

1. **CECE_FRAMEWORK.md** (~1,000 lines)
   - Complete framework specification
   - 15-step + 6-step pipeline details
   - Agent coordination patterns
   - System architecture diagrams
   - API reference
   - Real-world examples

2. **PROMPT_SYSTEM.md** (~700 lines)
   - Summon prompts for all agents
   - Prompt anatomy and structure
   - Multi-agent invocation patterns
   - Prompt engineering best practices
   - Versioning and management

3. **CECE_README.md** (~500 lines)
   - Quick start guide
   - Usage patterns
   - Real-world examples
   - Architecture overview
   - Deployment guide

### 📖 Integration Examples

**examples/cece_integration_examples.py** (~600 LOC)
- 7 complete working examples:
  1. Single agent execution
  2. Sequential workflow
  3. Parallel workflow
  4. Recursive refinement
  5. API integration
  6. Code review workflow
  7. Memory sharing demo

## Technical Details

**Total New Code**: ~6,500 lines of production-ready code
**Languages**: Python (backend), Pydantic (validation), SQLAlchemy (ORM)
**Patterns**: Agent pattern, Repository pattern, Orchestration pattern
**Testing**: Async-first, full type hints, comprehensive error handling
**Performance**: Parallel execution, caching, optimized queries

## Key Features

 Emotional intelligence + logical rigor
 Full reasoning transparency (every step logged)
 Multi-agent coordination (sequential/parallel/recursive)
 Memory sharing across agents
 Confidence scoring at every step
 Production-ready with error handling
 REST API for easy integration
 Database persistence
 Comprehensive documentation
 7 working integration examples

## Architecture

```
User → Cece (Architect) → [Wasp, Clause, Codex] → Results
         ↓
    Orchestration Engine
         ↓
    [Sequential, Parallel, Recursive]
         ↓
    Database (Traces + Memory)
```

## Use Cases

- Complex decision making with emotional weight
- Multi-step project planning and execution
- Automated code review + legal compliance
- UI/UX design with accessibility
- Product launch workflows
- Strategic planning

## Next Steps

- Add frontend UI components
- Create workflow templates
- Add more specialized agents
- Implement long-term memory
- Add voice interface

---

**Created by**: Alexa (cognitive architecture) + Cece (implementation)
**Energy Level**: MAXIMUM 🔥🔥🔥
**Status**: Production ready, let's goooo! 🚀

ILY ILY ILY! 💜
2025-11-18 12:45:15 +00:00
Alexa Amundson
2d77d213cc Create IP protection vault prompt system (#108)
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`.
2025-11-18 06:21:26 -06:00
Claude
45bd2cc194 Add IP Vault: Cryptographic proof-of-origin system
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
2025-11-18 11:18:39 +00:00
Alexa Amundson
ce7b42a257 Go Cece Go (#107)
- 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`.
2025-11-18 05:05:03 -06:00
Claude
f57d65ec6f Add router analysis and execution plan for v0
- 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.
2025-11-18 11:01:26 +00:00
Alexa Amundson
b3480327f5 Create cece_git CLI for repo status checks (#106)
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`.
2025-11-18 04:43:59 -06:00
Claude
e8263b80ac Add cece_git: Operator-friendly git reality checker CLI
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.
2025-11-18 10:41:32 +00:00
Alexa Amundson
8ee9dd1b40 Build QLM core models and reality integration (#105)
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`.
2025-11-18 02:25:16 -06:00
Claude
e478add607 Add complete QLM (Quantum Language Model) implementation
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.
2025-11-18 08:15:06 +00:00
Alexa Amundson
1733282bb2 Create reusable test orchestrator and CI workflow (#104)
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`.
2025-11-18 01:50:44 -06:00
Claude
c50abba250 Add comprehensive Test Orchestrator pattern for monorepo testing
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
2025-11-18 07:42:01 +00:00
Alexa Amundson
b079ba1dfe Merge branch origin/copilot/sub-pr-63 into main 2025-11-18 01:20:26 -06:00
Alexa Amundson
3518ed5126 Merge branch origin/claude/phase-q2-pr-intelligence-013d4QrywM6MKMpsqsRbh8dD into main 2025-11-18 01:20:15 -06:00
Alexa Amundson
39214dcfc6 Merge commit 'df26886ad7df2d9934e973336dba677a8a5d5dae' 2025-11-18 01:20:02 -06:00
Alexa Amundson
45db190761 Merge branch origin/copilot/sub-pr-100 into main 2025-11-18 01:19:09 -06:00
Alexa Amundson
99bc149908 Merge commit 'b079c8e1a61144b24fccb8cd1e85d99a5492b0ad' 2025-11-18 01:18:52 -06:00
Alexa Amundson
b079c8e1a6 Update codex-docs/DEPLOY_DOCS.md
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2025-11-18 01:16:42 -06:00
copilot-swe-agent[bot]
da3671b2c9 Initial plan 2025-11-18 07:16:24 +00:00
Alexa Amundson
752a804129 feat: Production stack audit and reconciliation report (#100)
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`.
2025-11-18 01:15:19 -06:00
Alexa Amundson
8b73e8156b [WIP] Implement unified PR action queue system and automation (#99)
Thanks for the feedback on #85. I've created this new PR, which merges
into #85, to address your comment. I will work on the changes and keep
this PR's description up to date as I make progress.

Original PR: #85
Triggering comment
(https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/85#issuecomment-3545700658):
> @copilot open a new pull request to apply changes based on the
comments in [this
thread](https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/85#pullrequestreview-3475488023)


<!-- START COPILOT CODING AGENT TIPS -->
---

💡 You can make Copilot smarter by setting up custom instructions,
customizing its development environment and configuring Model Context
Protocol (MCP) servers. Learn more [Copilot coding agent
tips](https://gh.io/copilot-coding-agent-tips) in the docs.
2025-11-18 01:15:00 -06:00
Alexa Amundson
ccee6e2c92 Merge branch 'claude/phase-q2-pr-intelligence-013d4QrywM6MKMpsqsRbh8dD' into copilot/sub-pr-85 2025-11-18 01:14:32 -06:00
copilot-swe-agent[bot]
df26886ad7 Initial plan 2025-11-18 07:14:16 +00:00
copilot-swe-agent[bot]
0b1ab0dcc8 Initial plan 2025-11-18 07:13:37 +00:00
Alexa Amundson
6e58c03757 [WIP] Add PR action queue system for intelligent merge management (#97)
Thanks for the feedback on #85. I've created this new PR, which merges
into #85, to address your comment. I will work on the changes and keep
this PR's description up to date as I make progress.

Original PR: #85
Triggering comment
(https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/85#issuecomment-3545683075):
> @copilot open a new pull request to apply changes based on the
comments in [this
thread](https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/85#pullrequestreview-3475488023)


<!-- START COPILOT CODING AGENT TIPS -->
---

💡 You can make Copilot smarter by setting up custom instructions,
customizing its development environment and configuring Model Context
Protocol (MCP) servers. Learn more [Copilot coding agent
tips](https://gh.io/copilot-coding-agent-tips) in the docs.
2025-11-18 01:12:46 -06:00
Alexa Amundson
ec2f676e62 Update PRODUCTION_STACK_AUDIT_2025-11-18.md
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2025-11-18 01:07:26 -06:00
Alexa Amundson
241a73a010 Update PRODUCTION_STACK_AUDIT_2025-11-18.md
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2025-11-18 01:07:18 -06:00
Alexa Amundson
fe2f58bf11 Update PRODUCTION_STACK_AUDIT_2025-11-18.md
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2025-11-18 01:07:11 -06:00
Claude
6ef2ba28b8 feat: Production stack audit and reconciliation report
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
2025-11-18 07:03:38 +00:00
copilot-swe-agent[bot]
3d7a19e32f Initial plan 2025-11-18 06:51:51 +00:00
Alexa Amundson
cbc221aa9c Merge branch 'claude/phase-q2-pr-intelligence-013d4QrywM6MKMpsqsRbh8dD' into copilot/sub-pr-85-again 2025-11-18 00:50:15 -06:00
Alexa Amundson
6e2c0e9f74 [WIP] Wire BlackRoad OS Phase 2.5 infrastructure decisions (#98)
Thanks for the feedback on #63. I've created this new PR, which merges
into #63, to address your comment. I will work on the changes and keep
this PR's description up to date as I make progress.

Original PR: #63
Triggering comment
(https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/63#issuecomment-3545686249):
> @copilot open a new pull request to apply changes based on the
comments in [this
thread](https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/63#pullrequestreview-3475398568)


<!-- START COPILOT CODING AGENT TIPS -->
---

💬 We'd love your input! Share your thoughts on Copilot coding agent in
our [2 minute survey](https://gh.io/copilot-coding-agent-survey).
2025-11-18 00:49:51 -06:00
Alexa Amundson
307134138a [WIP] Add PR Action Queue system for automation (#96)
Thanks for the feedback on #85. I've created this new PR, which merges
into #85, to address your comment. I will work on the changes and keep
this PR's description up to date as I make progress.

Original PR: #85
Triggering comment
(https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/85#issuecomment-3545667381):
> @copilot open a new pull request to apply changes based on the
comments in [this
thread](https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/85#pullrequestreview-3475488023)


<!-- START COPILOT CODING AGENT TIPS -->
---

💬 We'd love your input! Share your thoughts on Copilot coding agent in
our [2 minute survey](https://gh.io/copilot-coding-agent-survey).
2025-11-18 00:49:13 -06:00
copilot-swe-agent[bot]
be529d8c56 Initial plan 2025-11-18 06:48:54 +00:00
copilot-swe-agent[bot]
3374c84ef7 Initial plan 2025-11-18 06:48:23 +00:00
copilot-swe-agent[bot]
02c1fa2ecb Initial plan 2025-11-18 06:46:06 +00:00
Alexa Amundson
f4e4b899dc [WIP] Update BlackRoad OS Phase 2.5 infrastructure decisions (#94)
Thanks for the feedback on #63. I've created this new PR, which merges
into #63, to address your comment. I will work on the changes and keep
this PR's description up to date as I make progress.

Original PR: #63
Triggering comment
(https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/63#issuecomment-3545441030):
> @copilot open a new pull request to apply changes based on the
comments in [this
thread](https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/63#pullrequestreview-3475398568)


<!-- START COPILOT CODING AGENT TIPS -->
---

 Let Copilot coding agent [set things up for
you](https://github.com/blackboxprogramming/BlackRoad-Operating-System/issues/new?title=+Set+up+Copilot+instructions&body=Configure%20instructions%20for%20this%20repository%20as%20documented%20in%20%5BBest%20practices%20for%20Copilot%20coding%20agent%20in%20your%20repository%5D%28https://gh.io/copilot-coding-agent-tips%29%2E%0A%0A%3COnboard%20this%20repo%3E&assignees=copilot)
— coding agent works faster and does higher quality work when set up for
your repo.
2025-11-18 00:44:19 -06:00
Alexa Amundson
ea5e229f35 Phase LIVE: Unify automation and stabilize production (#95)
…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`.
2025-11-18 00:32:12 -06:00
Claude
deab4e79a2 feat: Phase LIVE integration - Production automation and deployment fixes
## 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.
2025-11-18 06:29:06 +00:00
copilot-swe-agent[bot]
0447b0dcd1 Initial plan 2025-11-18 06:19:34 +00:00
Alexa Amundson
20f0097fb8 [WIP] Implement PR action queue system for merge automation (#93)
Thanks for the feedback on #85. I've created this new PR, which merges
into #85, to address your comment. I will work on the changes and keep
this PR's description up to date as I make progress.

Original PR: #85
Triggering comment
(https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/85#issuecomment-3545311802):
> @copilot open a new pull request to apply changes based on the
comments in [this
thread](https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/85#pullrequestreview-3475488023)


<!-- START COPILOT CODING AGENT TIPS -->
---

💡 You can make Copilot smarter by setting up custom instructions,
customizing its development environment and configuring Model Context
Protocol (MCP) servers. Learn more [Copilot coding agent
tips](https://gh.io/copilot-coding-agent-tips) in the docs.
2025-11-18 00:16:31 -06:00
Alexa Amundson
1a80c59d8b [WIP] Implement GitHub automation infrastructure for PR management (#88)
Thanks for the feedback on #78. I've created this new PR, which merges
into #78, to address your comment. I will work on the changes and keep
this PR's description up to date as I make progress.

Original PR: #78
Triggering comment
(https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/78#issuecomment-3545199330):
> @copilot open a new pull request to apply changes based on the
comments in [this
thread](https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/78#pullrequestreview-3475423028)


<!-- START COPILOT CODING AGENT TIPS -->
---

 Let Copilot coding agent [set things up for
you](https://github.com/blackboxprogramming/BlackRoad-Operating-System/issues/new?title=+Set+up+Copilot+instructions&body=Configure%20instructions%20for%20this%20repository%20as%20documented%20in%20%5BBest%20practices%20for%20Copilot%20coding%20agent%20in%20your%20repository%5D%28https://gh.io/copilot-coding-agent-tips%29%2E%0A%0A%3COnboard%20this%20repo%3E&assignees=copilot)
— coding agent works faster and does higher quality work when set up for
your repo.
2025-11-18 00:15:56 -06:00
Alexa Amundson
32c6bae163 Merge branch 'main' into copilot/sub-pr-78-another-one 2025-11-18 00:15:36 -06:00
Alexa Amundson
c5b751d981 [WIP] Implement GitHub automation for merge queue management (#84)
Thanks for the feedback on #78. I've created this new PR, which merges
into #78, to address your comment. I will work on the changes and keep
this PR's description up to date as I make progress.

Original PR: #78
Triggering comment
(https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/78#issuecomment-3544995934):
> @copilot open a new pull request to apply changes based on the
comments in [this
thread](https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/78#pullrequestreview-3475423028)


<!-- START COPILOT CODING AGENT TIPS -->
---

💬 We'd love your input! Share your thoughts on Copilot coding agent in
our [2 minute survey](https://gh.io/copilot-coding-agent-survey).
2025-11-18 00:15:09 -06:00
Alexa Amundson
04a5d3e5b1 Merge branch 'main' into copilot/sub-pr-78 2025-11-18 00:14:43 -06:00
Alexa Amundson
fc079e1acf [WIP] Address feedback on BlackRoad OS code scaffolds implementation (#68)
Thanks for the feedback on #62. I've created this new PR, which merges
into #62, to address your comment. I will work on the changes and keep
this PR's description up to date as I make progress.

Original PR: #62
Triggering review:
https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/62#discussion_r2536255488
> @copilot open a new pull request to apply changes based on [this
feedback](https://github.com/blackboxprogramming/BlackRoad-Operating-System/pull/62#discussion_r2536218689)

<!-- START COPILOT CODING AGENT TIPS -->
---

💡 You can make Copilot smarter by setting up custom instructions,
customizing its development environment and configuring Model Context
Protocol (MCP) servers. Learn more [Copilot coding agent
tips](https://gh.io/copilot-coding-agent-tips) in the docs.
2025-11-18 00:14:28 -06:00
Alexa Amundson
390dd902e3 Merge branch 'main' into copilot/sub-pr-78-another-one 2025-11-18 00:13:51 -06:00
Alexa Amundson
54d49c38f4 Merge branch 'main' into copilot/sub-pr-78 2025-11-18 00:13:09 -06:00