Merge commit 'd803bfe2b1fe7f5e219e50ac20d6801a0a58ac75' as 'vendor/ruvector'

vendor/ruvector/examples/agentic-jujutsu/learning-workflow.ts

@@ -0,0 +1,70 @@
+/**
+ * Agentic-Jujutsu Learning Workflow Example
+ *
+ * Demonstrates ReasoningBank self-learning capabilities:
+ * - Trajectory tracking
+ * - Pattern discovery
+ * - AI-powered suggestions
+ * - Continuous improvement
+ */
+
+interface JjWrapper {
+  startTrajectory(task: string): string;
+  addToTrajectory(): void;
+  finalizeTrajectory(score: number, critique?: string): void;
+  getSuggestion(task: string): string;
+  getLearningStats(): string;
+  getPatterns(): string;
+  newCommit(message: string): Promise<any>;
+  branchCreate(name: string): Promise<any>;
+}
+
+async function learningWorkflowExample() {
+  console.log('=== Agentic-Jujutsu Learning Workflow ===\n');
+
+  // In actual usage:
+  // const { JjWrapper } = require('agentic-jujutsu');
+  // const jj = new JjWrapper();
+
+  console.log('1. Start a learning trajectory');
+  console.log('   const trajectoryId = jj.startTrajectory("Implement authentication");');
+  console.log('   Output: Unique trajectory ID\n');
+
+  console.log('2. Perform operations (automatically tracked)');
+  console.log('   await jj.branchCreate("feature/auth");');
+  console.log('   await jj.newCommit("Add auth endpoints");');
+  console.log('   await jj.newCommit("Add tests");\n');
+
+  console.log('3. Record operations to trajectory');
+  console.log('   jj.addToTrajectory();\n');
+
+  console.log('4. Finalize with success score and critique');
+  console.log('   jj.finalizeTrajectory(0.9, "Clean implementation, good test coverage");\n');
+
+  console.log('5. Later: Get AI-powered suggestions');
+  console.log('   const suggestion = JSON.parse(jj.getSuggestion("Implement logout"));');
+  console.log('   console.log("Confidence:", suggestion.confidence);');
+  console.log('   console.log("Expected success:", suggestion.expectedSuccessRate);');
+  console.log('   console.log("Recommended steps:", suggestion.recommendedOperations);\n');
+
+  console.log('6. View learning statistics');
+  console.log('   const stats = JSON.parse(jj.getLearningStats());');
+  console.log('   console.log("Total trajectories:", stats.totalTrajectories);');
+  console.log('   console.log("Patterns discovered:", stats.totalPatterns);');
+  console.log('   console.log("Average success:", stats.avgSuccessRate);');
+  console.log('   console.log("Improvement rate:", stats.improvementRate);\n');
+
+  console.log('7. Discover patterns');
+  console.log('   const patterns = JSON.parse(jj.getPatterns());');
+  console.log('   patterns.forEach(p => {');
+  console.log('     console.log("Pattern:", p.name);');
+  console.log('     console.log("Success rate:", p.successRate);');
+  console.log('     console.log("Operations:", p.operationSequence);');
+  console.log('   });\n');
+}
+
+if (require.main === module) {
+  learningWorkflowExample().catch(console.error);
+}
+
+export { learningWorkflowExample };