c8f7103cb6
* feat(agents): implement category-based agent organization system - Organize agents into domain categories (core, development, content, data, product, learning) - Move 10 agents to category subdirectories with proper git rename tracking - Update 13 subagents with category and type metadata in frontmatter - Add category metadata files (0-category.json) documenting common patterns - Implement local registry fallback in install script for offline development - Add comprehensive validation suite with 15 automated tests (100% pass rate) - Enhance registry validation with duplicate ID and consistency checks - Update eval framework with intelligent path resolution (backward compatible) - Archive legacy eval structure to _archive/ for reference - Update all documentation to reflect category-based structure - Bump version to 0.5.0 with accurate CHANGELOG Technical Details: - 23 agents organized (10 category agents, 13 subagents) - 6 category directories created - Path resolution supports both agent IDs and category paths - Registry schema updated to v2.0.0 - 159 files changed, 872 insertions(+), 10738 deletions(-) BREAKING CHANGE: Agent file paths now use category structure. Update references from .opencode/agent/openagent.md to .opencode/agent/core/openagent.md. Eval framework maintains backward compatibility via path resolution. * refactor(evals): consolidate documentation and enhance test infrastructure - Remove temporary project tracking files (PHASE_5_COMPLETE, PROJECT_COMPLETE, etc.) - Consolidate evaluation framework docs into main README - Enhance test execution with improved logging and multi-prompt support - Move system-builder from core to meta category - Add comprehensive test suites for openagent with organized structure - Create evaluation test structure for all subagents - Clean up archived workflows and redundant documentation - Update registry to reflect new agent organization - Add shared test templates and golden test patterns * feat(ci): add manual trigger support for bot-created PRs in validate-registry workflow - Add pr_number input to workflow_dispatch for manually triggering validation - Fetch PR details dynamically when triggered manually - Support both automatic (PR event) and manual (workflow_dispatch) triggers - Enable validation of bot-created PRs like automated version bumps - Update branch detection and push logic to handle both trigger types - Add documentation explaining how to manually trigger for bot PRs * feat(evals): add explicit context file validation to test framework - Add expectedContextFiles field to test YAML schema for explicit context file specification - Enhance context-loading-evaluator to support both auto-detect and explicit validation modes - Update documentation with comprehensive guide and examples - Clean up archived legacy test structure (90+ old test files) - Add new example tests demonstrating explicit context validation - Backward compatible with existing tests * feat(evals): add multi-agent logging system and performance optimizations Implement comprehensive multi-agent logging and performance improvements for the eval framework. Task 01: Multi-Agent Logging System - Add complete hierarchical logging module (evals/framework/src/logging/) - SessionTracker: tracks parent-child delegation hierarchies - MultiAgentLogger: pretty-prints logs with visual indentation - Formatters: box characters and emoji formatting - 37 passing unit tests (session-tracker, logger, integration) - Integrate with SDK event stream handler - Hook into session.created, message.updated, message.part.updated events - Real-time child session detection via timestamp heuristics - Message deduplication for cleaner output - Enable in debug mode only (<1% performance overhead) - Add demo script and comprehensive documentation Task 02: Performance Optimizations - Reduce grace period from 5s to 2s (67% reduction, 10-20% faster tests) - Add PerformanceMetricsEvaluator for bottleneck identification - Collects tool latencies, inference time, idle time - Provides full performance visibility - Update smoke test to validate delegation (core feature) - Replace simple read test with multi-agent delegation test - Tests both parent and child agent functionality - Validates multi-agent logging system Results: - 37 unit tests passing - Smoke test passing (95/100 score) - Clean hierarchical logging output - 10-20% faster test execution - Full multi-agent visibility Files changed: 16 files, +2678 lines Time saved: ~6-8 days (completed in 6 hours vs 3-5 day estimate) * feat(evals): show child agent execution in non-debug mode - Enable MultiAgentLogger in both debug and non-debug modes - Add verbose parameter to control output level - Non-verbose mode shows concise child session lifecycle: - Child agent started message - Child agent completed with duration - Verbose mode (--debug) shows full delegation hierarchy - Update documentation to reflect new behavior This provides visibility into delegation without overwhelming output, giving confidence that child agents are actually running. * feat(evals): improve delegation testing and behavior validation Major improvements to eval framework: Test Suite: - Add 00-smoke-test.yaml (basic read operation) - Rename 01-smoke-test.yaml → 02-delegation-test.yaml (delegation test) - Add simple-responder test agent for delegation testing - Add debug test: simple-subagent-call.yaml Evaluators: - Add agent-model-evaluator.ts for agent/model validation - Enhance behavior-evaluator.ts with detailed task tool output - Improve delegation-evaluator.ts with better evidence tracking Schema & Execution: - Add expectedAgent and expectedModel to test schema - Improve test executor with better logging and error handling Documentation: - Update evals/README.md with new features and performance improvements - Remove outdated MULTI_AGENT_LOGGING_COMPLETE.md Registry: - Add simple-responder test agent to registry Fixes: - Fix dashboard.sh path resolution These changes provide better visibility into delegation, improved test coverage, and clearer validation of agent behavior. * chore: add GitHub Actions workflow and plugin documentation - Add .github/workflows/evals/run-evaluations.yml for automated eval testing - Add dev/ai-tools/opencode/plugins/Plugin-inspiration.md for plugin development reference |
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| README.md | ||
OpenAgents Documentation
Welcome to the OpenAgents documentation! This directory contains all documentation organized by topic.
📚 Documentation Index
Getting Started
- Installation Guide - Complete installation guide with collision handling
- Collision Handling - Quick reference for install script collision strategies
Features
- System Builder - Build complete AI systems tailored to your domain
- Quick Start - Get started with the system builder
- Complete Guide - Detailed documentation and examples
- Agent System Blueprint - Architecture patterns and how to extend the system
Contributing
- Contributing Guide - How to contribute to the project
- Code of Conduct - Community guidelines
GitHub
- GitHub Settings - Repository settings checklist
🚀 Quick Links
For New Users
- Start with the main README in the repository root
- Follow the Installation Guide
- Use
opencode --agent openagentto start building - Read the OpenAgent Guide to understand the workflow
For Contributors
- Read the Contributing Guide
- Review the Code of Conduct
- Check out good first issues
For Advanced Users
- Study the Agent System Blueprint
- Try the System Builder
- Create custom agents and commands
📖 Documentation Structure
docs/
├── README.md # This file
├── getting-started/
│ ├── installation.md # Installation guide
│ └── collision-handling.md # Collision handling reference
├── features/
│ ├── system-builder/
│ │ ├── README.md # System builder quick start
│ │ └── guide.md # System builder complete guide
│ └── agent-system-blueprint.md # Architecture patterns
├── contributing/
│ ├── CODE_OF_CONDUCT.md # Community guidelines
│ └── CONTRIBUTING.md # Contribution guide
└── github/
└── GITHUB_SETTINGS.md # Repository settings
🔍 Finding What You Need
I want to...
...install OpenAgents → Installation Guide
...understand collision handling → Collision Handling
...build a custom AI system → System Builder
...understand the architecture → Agent System Blueprint
...contribute to the project → Contributing Guide
...report a bug or request a feature → GitHub Issues
💡 Additional Resources
- Main README: ../README.md
- GitHub Repository: https://github.com/darrenhinde/OpenAgents
- OpenCode CLI Docs: https://opencode.ai/docs
- Component Registry: ../registry.json
🤝 Community
- Issues: Report bugs or request features
- Discussions: Ask questions and share ideas
- Pull Requests: Contribute code
📝 License
This project is licensed under the MIT License. See LICENSE for details.
Need help? Check the Contributing Guide or open an issue.