71 lines
2.7 KiB
TypeScript
71 lines
2.7 KiB
TypeScript
/**
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* Agentic-Jujutsu Learning Workflow Example
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*
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* Demonstrates ReasoningBank self-learning capabilities:
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* - Trajectory tracking
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* - Pattern discovery
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* - AI-powered suggestions
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* - Continuous improvement
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*/
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interface JjWrapper {
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startTrajectory(task: string): string;
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addToTrajectory(): void;
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finalizeTrajectory(score: number, critique?: string): void;
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getSuggestion(task: string): string;
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getLearningStats(): string;
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getPatterns(): string;
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newCommit(message: string): Promise<any>;
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branchCreate(name: string): Promise<any>;
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}
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async function learningWorkflowExample() {
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console.log('=== Agentic-Jujutsu Learning Workflow ===\n');
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// In actual usage:
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// const { JjWrapper } = require('agentic-jujutsu');
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// const jj = new JjWrapper();
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console.log('1. Start a learning trajectory');
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console.log(' const trajectoryId = jj.startTrajectory("Implement authentication");');
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console.log(' Output: Unique trajectory ID\n');
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console.log('2. Perform operations (automatically tracked)');
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console.log(' await jj.branchCreate("feature/auth");');
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console.log(' await jj.newCommit("Add auth endpoints");');
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console.log(' await jj.newCommit("Add tests");\n');
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console.log('3. Record operations to trajectory');
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console.log(' jj.addToTrajectory();\n');
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console.log('4. Finalize with success score and critique');
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console.log(' jj.finalizeTrajectory(0.9, "Clean implementation, good test coverage");\n');
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console.log('5. Later: Get AI-powered suggestions');
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console.log(' const suggestion = JSON.parse(jj.getSuggestion("Implement logout"));');
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console.log(' console.log("Confidence:", suggestion.confidence);');
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console.log(' console.log("Expected success:", suggestion.expectedSuccessRate);');
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console.log(' console.log("Recommended steps:", suggestion.recommendedOperations);\n');
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console.log('6. View learning statistics');
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console.log(' const stats = JSON.parse(jj.getLearningStats());');
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console.log(' console.log("Total trajectories:", stats.totalTrajectories);');
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console.log(' console.log("Patterns discovered:", stats.totalPatterns);');
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console.log(' console.log("Average success:", stats.avgSuccessRate);');
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console.log(' console.log("Improvement rate:", stats.improvementRate);\n');
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console.log('7. Discover patterns');
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console.log(' const patterns = JSON.parse(jj.getPatterns());');
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console.log(' patterns.forEach(p => {');
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console.log(' console.log("Pattern:", p.name);');
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console.log(' console.log("Success rate:", p.successRate);');
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console.log(' console.log("Operations:", p.operationSequence);');
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console.log(' });\n');
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}
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if (require.main === module) {
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learningWorkflowExample().catch(console.error);
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}
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export { learningWorkflowExample };
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