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100 changes: 58 additions & 42 deletions docs/tasks/phase1.md
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## 🎯 Phase 1 Objectives

- **CLI Interface**: Working `agents-cli` command with basic workflow execution
- **CLI Interface**: Working `agents-cli` command with single-agent execution
- **MCP Server**: Basic server that IDEs can connect to and execute tools
- **Configuration System**: JSON-based agent and workflow definitions
- **Configuration System**: JSON-based agent and tool definitions
- **Security Framework**: Safe tool execution with sandboxing
- **OpenAI Integration**: Adapter pattern for SDK integration
- **Basic SDK Integration**: Single-agent execution foundation for Phase 2
- **Testing & Quality**: Comprehensive test suite and CI/CD

## 📅 Timeline & Schedule
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---

### ⚡ **6. OpenAI SDK Integration & Adapter (Days 9-13)**
> **Critical Path** - Core workflow execution capability

#### 6.1 Adapter Pattern Implementation
- [ ] **6.1.1** Create `IAgentRuntime` interface for SDK isolation
- [ ] **6.1.2** Implement `OpenAIAgentRuntime` with full SDK integration
- [ ] **6.1.3** Create `IAgent` wrapper interface for abstraction
- [ ] **6.1.4** Add runtime capability detection and validation

#### 6.2 Agent Creation & Management
- [ ] **6.2.1** Create `AgentFactory` with security policy integration
- [ ] **6.2.2** Implement agent configuration translation and validation
- [ ] **6.2.3** Add comprehensive agent lifecycle management
- [ ] **6.2.4** Create agent registry for workflow orchestration

#### 6.3 Basic Workflow Execution
- [ ] **6.3.1** Create `WorkflowEngine` with handoff chain support
- [ ] **6.3.2** Implement basic handoff logic using SDK native capabilities
- [ ] **6.3.3** Add workflow state tracking and turn management
- [ ] **6.3.4** Create result aggregation and structured formatting

#### 6.4 Tool Integration Bridge
- [ ] **6.4.1** Create tool adapter for SDK integration
- [ ] **6.4.2** Implement security-wrapped tool execution
- [ ] **6.4.3** Add tool result formatting for agent consumption
- [ ] **6.4.4** Create comprehensive tool error handling

#### 6.5 Integration Testing
- [ ] **6.5.1** Create end-to-end workflow tests with real OpenAI API
- [ ] **6.5.2** Test agent creation from various configurations
- [ ] **6.5.3** Validate handoff chains work correctly
- [ ] **6.5.4** Test tool execution through full stack
### ⚡ **6. Basic OpenAI SDK Integration (Days 9-11)** **[SIMPLIFIED]**
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Copilot AI Sep 19, 2025

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The task duration shows 'Days 9-11' (3 days) but the original task was 'Days 9-13' (5 days). Consider updating the timeline to reflect the actual simplified scope or clarify if this is intentionally compressed.

Suggested change
### **6. Basic OpenAI SDK Integration (Days 9-11)** **[SIMPLIFIED]**
### **6. Basic OpenAI SDK Integration (Days 9-11)** **[SIMPLIFIED]**
> **Note:** Original duration was Days 9-13 (5 days). Scope has been simplified and timeline compressed to Days 9-11 (3 days).

Copilot uses AI. Check for mistakes.
> **Foundation** - Single-agent execution for Phase 1 MVP

#### 6.1 Basic SDK Integration
- [ ] **6.1.1** Set up OpenAI Agents SDK dependency
- Install and configure OpenAI Agents SDK
- Set up API client with authentication
- Basic connection testing and validation
- Error handling for API failures

- [ ] **6.1.2** Create simple `AgentRunner` class
- Single agent creation from configuration
- Basic message sending and response handling
- Simple tool execution integration
- Basic error handling and logging

- [ ] **6.1.3** Implement basic tool integration
- Register MCP tools with agent
- Tool execution through SDK
- Result formatting for CLI output
- Error propagation to user

#### 6.2 Configuration Integration
- [ ] **6.2.1** Agent creation from JSON config
- Parse agent configuration from schema
- Convert to SDK format
- Model and parameter validation
- Clear error messages for invalid configs

- [ ] **6.2.2** Single-agent workflow execution
- Execute one agent with given input
- Tool execution during agent run
- Collect and format results
- Handle execution errors gracefully

#### 6.3 CLI Integration
- [ ] **6.3.1** Integrate with CLI `run` command
- Load agent from configuration file
- Execute single-agent workflow
- Display results in CLI
- Proper exit codes for success/failure

- [ ] **6.3.2** Basic testing and validation
- Unit tests for agent creation
- Integration test with real OpenAI API
- Example single-agent configuration
- Error scenario testing

---

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## ✅ Definition of Done - Phase 1

**🎯 Must Complete:**
- [ ] ✅ CLI runs `agents-cli run --config example.json` successfully
- [ ] ✅ CLI runs `agents-cli run --config single-agent.json` successfully
- [ ] ✅ MCP server starts and registers tools for IDE connection
- [ ] ✅ Security policies prevent unauthorized operations
- [ ] ✅ OpenAI SDK integration executes basic workflows
- [ ] ✅ Single-agent execution works with OpenAI SDK
- [ ] ✅ Configuration validation provides clear error messages
- [ ] ✅ Integration tests cover CLI → MCP → SDK → Agent flow
- [ ] ✅ Integration tests cover CLI → MCP → SDK → Single Agent flow

**📊 Quality Gates:**
- [ ] All unit tests pass (>80% code coverage)
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## 🔄 Next Steps After Phase 1

Upon completion, Phase 1 delivers:
- **Working CLI** with basic workflow execution
- **Working CLI** with single-agent execution
- **MCP Server** ready for IDE integration
- **Security Framework** for safe tool execution
- **OpenAI SDK Integration** with adapter pattern
- **Example Configurations** for common workflows
- **Basic OpenAI SDK Integration** foundation
- **Example Single-Agent Configurations**

**Phase 2 Preview**: Advanced tool integrations, parallel workflows, full MCP protocol compliance, and production-ready features.
[Phase 2: Advanced Multi-Agent Workflows](phase2.md) with handoffs, orchestration, and production features.

---

## 📚 Related Documents

- **[Phase 0: Repository Foundation](phase0.md)** - Prerequisites and setup
- **[Phase 2: Advanced Multi-Agent Workflows](phase2.md)** - Next phase features
- **[Project PRD](../PRD.md)** - Overall project requirements and vision
- **[OpenAI Agents SDK Knowledge](../AGENTS.md)** - SDK reference and examples

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# Phase 2: Advanced Multi-Agent Workflows
**Duration: TBD** | **Goal**: Production-Ready Multi-Agent Orchestration

> **Status**: Planning phase
> **Depends on**: [Phase 1](phase1.md) completion
> **Previous Phase**: [Phase 1: Core Development Foundation](phase1.md)

## 🎯 Phase 2 Objectives

- **Multi-Agent Workflows**: Agent handoffs and orchestration patterns
- **Advanced Orchestration**: Parallel execution, conditional routing, loops
- **Workflow Engine**: Comprehensive workflow state management
- **Production Features**: Scalability, monitoring, and optimization
- **Advanced Tool Integration**: Complex tool patterns and custom frameworks
- **IDE Enhancements**: Advanced IDE integration features

## 📋 Major Components

### 🔄 **1. Multi-Agent Workflow Engine**
- Advanced `WorkflowEngine` with multiple execution patterns
- Agent handoff chains and conditional routing
- Parallel agent execution and coordination
- Workflow state tracking and persistence
- Dynamic workflow generation and modification

### 🏗️ **2. Advanced Agent Management**
- Comprehensive agent lifecycle management
- Agent registry with pools and resource management
- Agent health monitoring and automatic recovery
- Load balancing and dynamic scaling
- Multi-provider support (OpenAI, Anthropic, local models)

### 🔧 **3. Production Tool Framework**
- Advanced tool orchestration and dependency management
- Custom tool development framework and SDK
- Tool result caching and optimization
- Complex tool integration patterns
- Tool marketplace and discovery

### 📊 **4. Production Operations**
- Performance monitoring and metrics collection
- Workflow debugging and inspection tools
- Advanced caching and optimization
- Compliance and audit features
- Production deployment patterns

## 🔗 Foundation

**Built on Phase 1:**
- Single-agent execution capability
- Basic MCP server and tool integration
- Security framework foundation
- CLI and configuration system

**Enables:**
- Complex multi-agent workflows
- Production-scale deployments
- Advanced IDE integration features
- Enterprise-ready features

---

## 📚 Related Documents

- **[Phase 1: Core Development](phase1.md)** - Foundation requirements
- **[Project PRD](../PRD.md)** - Overall project vision
- **[Multi-Agent Patterns](../agents/multi-agent-patterns.md)** - Advanced workflow patterns

This Phase 2 document will be expanded with detailed task breakdowns once Phase 1 is complete.