Duration: 2 weeks (14 days) | Goal: Working CLI + Basic MCP Server + OpenAI SDK Integration
Status: Ready to begin Depends on: Phase 0 completion Previous Phase: Phase 0: Repository & Documentation
- CLI Interface: Working
agents-clicommand with single-agent execution - MCP Server: Basic server that IDEs can connect to and execute tools
- Configuration System: JSON-based agent and tool definitions
- Security Framework: Safe tool execution with sandboxing
- Basic SDK Integration: Single-agent execution foundation for Phase 2
- Testing & Quality: Comprehensive test suite and CI/CD
gantt
title Phase 1 Critical Path (After Phase 0)
dateFormat X
axisFormat Day %d
section Foundation
Project Setup :crit, milestone, setup, 0, 2
Schema Design :crit, schema, 1, 3
Security Framework :crit, security, 3, 5
section Core Systems
MCP Server :crit, mcp, 2, 6
CLI Framework :cli, 1, 5
SDK Integration :crit, sdk, 4, 8
section Integration
Workflow Engine :workflow, 6, 8
Integration Testing :testing, 7, 9
section Milestones
Alpha Release :milestone, alpha, 9, 0
Phase 1 Daily Assignment (After Phase 0):
- Day 1-2: Node.js project setup and TypeScript configuration
- Day 3-5: Configuration schema design and validation system
- Day 4-7: CLI framework and command interface development
- Day 6-9: MCP server basic implementation and tool registration
- Day 8-11: Security layer, API key handling, and sandboxing
- Day 9-13: OpenAI SDK integration with adapter pattern
- Day 11-13: Basic workflow engine and execution patterns
- Day 12-14: Integration testing and quality assurance
Critical Path - Blocks all other development Depends on: Phase 0 completion
- 1.1.1 Initialize Node.js project with TypeScript
- 1.1.2 Install core dependencies (OpenAI Agents SDK, Commander.js, Zod, etc.)
- 1.1.3 Configure ESLint + Prettier with strict rules
- 1.1.4 Set up Jest testing framework with TypeScript
- 1.1.5 Create comprehensive GitHub Actions CI workflow
- 1.2.1 Expand directory structure for development
- 1.2.2 Set up TypeScript path aliases and barrel exports
- 1.2.3 Initialize example workflow configurations
- 1.2.4 Create development and build scripts
Critical Path - Enables configuration and validation
- 2.1.1 Design
AgentConfigschema with Zod validation - 2.1.2 Create
WorkflowSettingsschema for execution patterns - 2.1.3 Define
ToolConfigschema for different tool types
- 2.2.1 Create
ConfigLoaderclass with file format support - 2.2.2 Implement detailed schema validation with user-friendly errors
- 2.2.3 Add configuration merge support (defaults + user config)
- 2.2.4 Create validation CLI command
- 2.3.1 Create comprehensive code review workflow example
- 2.3.2 Create architecture review workflow example
- 2.3.3 Create minimal single-agent example
- 2.3.4 Generate schema documentation from Zod definitions
Critical Path - Essential for IDE integration
- 3.1.1 Install and study MCP TypeScript dependencies
- 3.1.2 Create
AgentsMCPServerbase class with proper initialization - 3.1.3 Implement core MCP protocol message handling
- 3.2.1 Create
MCPToolinterface with comprehensive type safety - 3.2.2 Implement tool registry with validation and discovery
- 3.2.3 Create tool result formatting for MCP responses
- 3.2.4 Add comprehensive error handling and logging
- 3.3.1 Implement
echo_toolfor testing MCP connections - 3.3.2 Implement
file_read_toolwith security restrictions - 3.3.3 Create additional utility tools for basic operations
- 3.4.1 Create comprehensive MCP server integration tests
- 3.4.2 Build manual testing scripts for development
- 3.4.3 Test actual IDE integration (Cursor/VS Code)
- 3.4.4 Validate MCP protocol compliance
- 4.1.1 Set up Commander.js with TypeScript
- 4.1.2 Implement
runcommand with comprehensive options - 4.1.3 Implement
validatecommand for configuration testing - 4.1.4 Implement
servecommand for MCP server mode
- 4.2.1 Create
RunWorkflowCommandwith full workflow execution - 4.2.2 Create
ValidateCommandwith detailed validation feedback - 4.2.3 Create
ServeCommandfor MCP server startup - 4.2.4 Add global error handling with appropriate exit codes
- 4.3.1 Create console formatter with Chalk for colored output
- 4.3.2 Implement structured JSON output writer
- 4.3.3 Add streaming progress indicators
- 4.3.4 Create results summary formatter
Critical Path - Required for safe tool execution
- 5.1.1 Create comprehensive
SecurityPolicyinterface - 5.1.2 Implement
SecurityPolicyValidatorwith file/network access controls - 5.1.3 Create default security policies for different environments
- 5.1.4 Add security policy loading and validation
- 5.2.1 Create secure credential manager with memory-only storage
- 5.2.2 Implement environment variable validation with warnings
- 5.2.3 Add secure credential file support with permissions validation
- 5.2.4 Create comprehensive logging redaction for API keys
- 5.3.1 Create
ToolExecutionContextwith resource limits - 5.3.2 Implement security-wrapped tool execution
- 5.3.3 Add resource monitoring (memory, CPU, execution time)
- 5.3.4 Create comprehensive audit logging
- 5.4.1 Create security test suite with malicious input scenarios
- 5.4.2 Test file system access restrictions
- 5.4.3 Verify API key redaction in all output scenarios
- 5.4.4 Validate resource limit enforcement
Foundation - Single-agent execution for Phase 1 MVP
-
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
AgentRunnerclass- 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
-
6.2.1 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
-
6.3.1 Integrate with CLI
runcommand- 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
- 7.1.1 Create comprehensive integration test suite
- 7.1.2 Test CLI → MCP → SDK → Agent flow
- 7.1.3 Validate IDE integration scenarios
- 7.1.4 Test error handling and recovery scenarios
- 7.2.1 Benchmark CLI startup time (<2s requirement)
- 7.2.2 Test workflow execution performance (<30s target)
- 7.2.3 Validate memory usage and resource limits
- 7.2.4 Test concurrent workflow handling
- 7.3.1 Run comprehensive security audit
- 7.3.2 Verify no credential leakage in logs/outputs
- 7.3.3 Test tool sandboxing effectiveness
- 7.3.4 Validate access control enforcement
- 7.4.1 Update README with working examples
- 7.4.2 Create IDE integration documentation
- 7.4.3 Generate API documentation
- 7.4.4 Validate all examples work correctly
🎯 Must Complete:
- ✅ CLI runs
agents-cli run --config single-agent.jsonsuccessfully - ✅ MCP server starts and registers tools for IDE connection
- ✅ Security policies prevent unauthorized operations
- ✅ Single-agent execution works with OpenAI SDK
- ✅ Configuration validation provides clear error messages
- ✅ Integration tests cover CLI → MCP → SDK → Single Agent flow
📊 Quality Gates:
- All unit tests pass (>80% code coverage)
- Integration tests with real OpenAI API pass
- Security audit passes (no credential leakage)
- Performance: CLI startup <2s, workflow execution <30s
- Documentation: README with working examples
🚨 Success Criteria:
- IDE can connect to MCP server and execute basic tools
- Configuration-driven agent creation works
- Security policies prevent file system abuse
- Error handling provides actionable feedback
- Foundation ready for Phase 2 feature expansion
Upon completion, Phase 1 delivers:
- Working CLI with single-agent execution
- MCP Server ready for IDE integration
- Security Framework for safe tool execution
- Basic OpenAI SDK Integration foundation
- Example Single-Agent Configurations
Phase 2: Advanced Multi-Agent Workflows with handoffs, orchestration, and production features.
- Phase 0: Repository Foundation - Prerequisites and setup
- Phase 2: Advanced Multi-Agent Workflows - Next phase features
- Project PRD - Overall project requirements and vision
- OpenAI Agents SDK Knowledge - SDK reference and examples
This Phase 1 task breakdown provides clear, actionable items with dependencies, timelines, and success criteria for core development completion! 🚀