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* 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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Golden Test Suite
A curated set of 8 tests that validate core agent behaviors. These tests are:
- Safe - All operations are read-only or write to
evals/test_tmp/(gitignored) - Agent-Agnostic - Work with any agent, not tied to specific implementations
- Fast - Complete in ~5-10 minutes total
- Reliable - Designed to pass consistently
Tests
| # | Test | Behavior Validated | Evaluator(s) |
|---|---|---|---|
| 01 | Smoke Test | Basic read operation | behavior |
| 02 | Context Loading | Agent reads context before answering | context-loading |
| 03 | Read Before Write | Agent inspects before modifying | execution-balance |
| 04 | Write With Approval | Agent asks before writing | approval-gate |
| 05 | Multi-Turn Context | Agent remembers conversation | behavior |
| 06 | Task Breakdown | Agent reads standards before implementing | context-loading |
| 07 | Tool Selection | Agent uses dedicated tools (not bash) | tool-usage |
| 08 | Error Handling | Agent handles errors gracefully | behavior |
Running the Golden Suite
# Run all golden tests for openagent
npm run eval:sdk -- --agent=openagent --pattern="**/golden/*.yaml"
# Run all golden tests for any agent
npm run eval:sdk -- --agent=<agent-name> --pattern="**/golden/*.yaml"
# Run with debug output
npm run eval:sdk -- --agent=openagent --pattern="**/golden/*.yaml" --debug
# Run a specific golden test
npm run eval:sdk -- --agent=openagent --pattern="**/golden/01-smoke-test.yaml"
Expected Results
All 8 tests should pass for a well-behaved agent. If tests fail:
- 01 fails: Basic infrastructure issue - check agent/server setup
- 02 fails: Agent doesn't load context - check context-loading behavior
- 03 fails: Agent writes without reading - check execution-balance
- 04 fails: Agent doesn't ask approval - check approval workflow
- 05 fails: Agent loses context - check conversation handling
- 06 fails: Agent doesn't read standards - check context-loading
- 07 fails: Agent uses bash antipatterns - check tool selection
- 08 fails: Agent crashes on errors - check error handling
Adding New Golden Tests
Golden tests should be:
- Essential - Test a core behavior that all agents need
- Safe - No dangerous operations, writes only to test_tmp/
- Reliable - Pass consistently across runs
- Fast - Complete in under 2 minutes each
- Clear - Easy to understand what's being tested