tasq/node_modules/agentdb/simulation/scenarios/goalie-integration.ts

162 lines
4.8 KiB
TypeScript

/**
* Goalie Integration (Goal-Oriented AI Learning Engine)
*
* Goal-tracking graph DB with achievement trees
* Integration with goalie package
*
* Features:
* - Hierarchical goal decomposition
* - Subgoal dependency tracking
* - Achievement progress monitoring
* - Adaptive goal prioritization
*/
import { createUnifiedDatabase } from '../../src/db-unified.js';
import { ReflexionMemory } from '../../src/controllers/ReflexionMemory.js';
import { CausalMemoryGraph } from '../../src/controllers/CausalMemoryGraph.js';
import { SkillLibrary } from '../../src/controllers/SkillLibrary.js';
import { EmbeddingService } from '../../src/controllers/EmbeddingService.js';
import * as path from 'path';
export default {
description: 'Goalie goal-oriented learning with achievement tree tracking',
async run(config: any) {
const { verbosity = 2 } = config;
if (verbosity >= 2) {
console.log(' 🎯 Initializing Goalie Integration (Goal-Oriented Learning)');
}
// Initialize goal-tracking graph database
const embedder = new EmbeddingService({
model: 'Xenova/all-MiniLM-L6-v2',
dimension: 384,
provider: 'transformers'
});
await embedder.initialize();
const db = await createUnifiedDatabase(
path.join(process.cwd(), 'simulation', 'data', 'advanced', 'goalie.graph'),
embedder,
{ forceMode: 'graph' }
);
const reflexion = new ReflexionMemory(
db.getGraphDatabase() as any,
embedder,
undefined,
undefined,
db.getGraphDatabase() as any
);
const causal = new CausalMemoryGraph(
db.getGraphDatabase() as any,
db.getGraphDatabase() as any
);
const skills = new SkillLibrary(
db.getGraphDatabase() as any,
embedder,
undefined,
db.getGraphDatabase() as any
);
const results = {
primaryGoals: 0,
subgoals: 0,
achievements: 0,
avgProgress: 0,
totalTime: 0
};
const startTime = performance.now();
// Primary Goals
const primaryGoals = [
{ goal: 'build_production_system', priority: 0.95 },
{ goal: 'achieve_90_percent_test_coverage', priority: 0.88 },
{ goal: 'optimize_performance_10x', priority: 0.92 }
];
const goalIds: number[] = [];
for (const goal of primaryGoals) {
const id = await reflexion.storeEpisode({
sessionId: 'goalie-primary',
task: goal.goal,
reward: goal.priority,
success: false, // Not yet achieved
input: 'goal_definition',
output: 'in_progress'
});
goalIds.push(id);
results.primaryGoals++;
}
// Subgoals (decomposition)
const subgoalHierarchy = [
{ parent: 0, subgoals: ['setup_ci_cd', 'implement_logging', 'add_monitoring'] },
{ parent: 1, subgoals: ['write_unit_tests', 'write_integration_tests', 'add_e2e_tests'] },
{ parent: 2, subgoals: ['profile_bottlenecks', 'optimize_queries', 'add_caching'] }
];
for (const hierarchy of subgoalHierarchy) {
for (const subgoal of hierarchy.subgoals) {
const subgoalId = await reflexion.storeEpisode({
sessionId: 'goalie-subgoal',
task: subgoal,
reward: 0.70, // Partial progress
success: false,
input: `parent_goal_${hierarchy.parent}`,
output: 'started'
});
// Link subgoal to parent goal
await causal.addCausalEdge({
fromMemoryId: subgoalId,
fromMemoryType: 'episode',
toMemoryId: goalIds[hierarchy.parent],
toMemoryType: 'episode',
similarity: 0.90,
uplift: 0.30, // Completing subgoal improves parent goal
confidence: 0.95,
sampleSize: 100,
mechanism: 'subgoal_contributes_to_parent'
});
results.subgoals++;
}
}
// Achievements (completed subgoals)
const achievements = ['setup_ci_cd', 'write_unit_tests', 'profile_bottlenecks'];
for (const achievement of achievements) {
await skills.createSkill({
name: achievement,
description: 'Completed subgoal',
code: `// Achievement unlocked: ${achievement}`,
successRate: 1.0 // 100% completed
});
results.achievements++;
results.avgProgress += 1.0;
}
results.avgProgress /= results.subgoals;
const endTime = performance.now();
results.totalTime = endTime - startTime;
db.close();
if (verbosity >= 2) {
console.log(` 📊 Primary Goals: ${results.primaryGoals}`);
console.log(` 📊 Subgoals: ${results.subgoals}`);
console.log(` 📊 Achievements: ${results.achievements}`);
console.log(` 📊 Avg Progress: ${(results.avgProgress * 100).toFixed(1)}%`);
console.log(` ⏱️ Duration: ${results.totalTime.toFixed(2)}ms`);
}
return results;
}
};