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
123 lines
3.2 KiB
TypeScript
123 lines
3.2 KiB
TypeScript
/**
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* Model-specific behavior configuration
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*
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* Different AI models have different completion behaviors:
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* - Some models send final text after tool execution
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* - Some models end with 'tool-calls' finish reason
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* - Response times vary significantly
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*
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* This module provides model-specific configurations to handle these differences.
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*/
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export interface ModelBehavior {
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/** Model sends final text after tool execution */
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sendsCompletionText: boolean;
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/** Model may end turn with tool-calls finish reason */
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mayEndWithToolCalls: boolean;
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/** Typical response time (ms) for timeout calculation */
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typicalResponseTime: number;
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/** Grace period after tool completion (ms) */
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toolCompletionGrace: number;
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}
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/**
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* Known model behaviors
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* Add new models here as they are tested
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*/
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export const MODEL_BEHAVIORS: Record<string, ModelBehavior> = {
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'grok-code': {
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sendsCompletionText: false,
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mayEndWithToolCalls: true,
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typicalResponseTime: 5000,
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toolCompletionGrace: 3000,
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},
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'grok-code-fast': {
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sendsCompletionText: false,
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mayEndWithToolCalls: true,
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typicalResponseTime: 3000,
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toolCompletionGrace: 2000,
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},
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'big-pickle': {
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sendsCompletionText: true,
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mayEndWithToolCalls: true,
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typicalResponseTime: 8000,
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toolCompletionGrace: 4000,
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},
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'pickle': {
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sendsCompletionText: true,
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mayEndWithToolCalls: true,
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typicalResponseTime: 6000,
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toolCompletionGrace: 3000,
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},
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'claude-4-5-sonnet': {
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sendsCompletionText: true,
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mayEndWithToolCalls: false,
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typicalResponseTime: 10000,
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toolCompletionGrace: 5000,
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},
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'claude-opus-4-5': {
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sendsCompletionText: true,
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mayEndWithToolCalls: false,
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typicalResponseTime: 15000,
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toolCompletionGrace: 5000,
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},
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'gpt-5-mini': {
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sendsCompletionText: true,
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mayEndWithToolCalls: false,
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typicalResponseTime: 8000,
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toolCompletionGrace: 4000,
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},
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'gpt-4o': {
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sendsCompletionText: true,
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mayEndWithToolCalls: false,
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typicalResponseTime: 6000,
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toolCompletionGrace: 3000,
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},
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// Default for unknown models
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'default': {
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sendsCompletionText: true,
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mayEndWithToolCalls: true,
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typicalResponseTime: 10000,
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toolCompletionGrace: 5000,
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},
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};
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/**
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* Get model behavior configuration
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* Tries exact match first, then partial match, then default
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*/
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export function getModelBehavior(modelId: string): ModelBehavior {
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// Try exact match first
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if (MODEL_BEHAVIORS[modelId]) {
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return MODEL_BEHAVIORS[modelId];
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}
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// Try partial match (e.g., "claude-3-5-sonnet-20241022" matches "claude-3-5-sonnet")
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for (const [key, behavior] of Object.entries(MODEL_BEHAVIORS)) {
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if (key !== 'default' && (modelId.includes(key) || key.includes(modelId))) {
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return behavior;
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}
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}
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// Return default
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return MODEL_BEHAVIORS['default'];
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}
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/**
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* Calculate timeout based on model behavior
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*/
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export function calculateModelTimeout(
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baseTimeout: number,
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modelId: string
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): number {
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const behavior = getModelBehavior(modelId);
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// Adjust based on model behavior
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const modelMultiplier = behavior.typicalResponseTime / 10000; // Normalize to 10s baseline
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return Math.max(
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baseTimeout,
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baseTimeout * modelMultiplier,
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behavior.typicalResponseTime * 3 // At least 3x typical response time
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);
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}
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