Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

Comprehensive documentation including:
- Developer guide for the Orchestrator in docs/developer/orchestrator.md
- Architecture overview in ARCHITECTURE.md
- Updated README with Orchestrator details
Python packaging rules in .cursor/python-packager.mdc
Full implementation of the A2A (Agent2Agent) protocol:
- JSON-RPC 2.0 over HTTP(S) communication
- Task lifecycle management with specific states
- Streaming updates via Server-Sent Events (SSE)
- Agent discovery via Agent Cards
- Support for different content types (text, files, structured data)
- Simple server and client implementations
- Example scripts demonstrating usage
Standardized interfaces for agent-tool integration:
- Base classes for tools and tool registries
- Rich metadata for tool discovery and documentation
- Support for both class-based and function-based tools
- Input validation and schema definitions
- Synchronous and asynchronous execution
- Example tool implementations
Robust orchestration system for multi-agent workflows:
- Integration with dynamic agent discovery and capability advertisement
- Workflow template system for reusable workflow patterns
- Enhanced workflow persistence and resumption for long-running workflows
- Parallel execution support for independent workflow steps
- Advanced error handling and recovery mechanisms
- Intelligent workflow replanning for handling failures
- Dependency tracking and validation for complex workflows

Enhanced Orchestrator Agent with nested loop architecture
- Dynamic planning capabilities for complex tasks
- Error recovery and replanning mechanisms
- Progress monitoring and reflection
- Task delegation strategies
Agent registration system for specialized agents
Workflow state management and progress tracking
Chainlit integration for task visualization