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claude-flow

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Enterprise-grade AI agent orchestration with ruv-swarm integration (Alpha Release)

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# Verification and Truth Enforcement Architecture ## Executive Summary This document outlines a comprehensive verification and truth enforcement architecture for the Claude-Flow multi-agent system. The architecture ensures high-fidelity execution through mandatory checkpoints, truth scoring with a 0.95 minimum threshold, cross-agent integration testing, state management with rollback capabilities, and full GitHub Actions CI/CD integration. ## 1. Architecture Overview ### 1.1 Core Principles - **Truth First**: All agent claims must be verified against reality with 95%+ accuracy - **Fail Fast**: Early detection and correction of discrepancies - **State Safety**: Complete rollback capabilities for failed operations - **Continuous Verification**: Real-time monitoring and validation - **Evidence-Based**: All decisions backed by measurable evidence ### 1.2 System Components ```mermaid graph TB A[Agent Claims] --> B[Verification Pipeline] B --> C[Truth Scoring Engine] C --> D[Evidence Collection] D --> E[Checkpoint System] E --> F[State Manager] F --> G[Rollback Engine] H[Integration Tests] --> B I[CI/CD Integration] --> B J[Cross-Agent Validator] --> C K[Memory Store] --> F L[GitHub Actions] --> I ``` ## 2. Verification Pipeline ### 2.1 Mandatory Checkpoints The verification pipeline enforces mandatory checkpoints at critical stages: #### Pre-Execution Checkpoints - **Agent Capability Validation**: Verify agent has required capabilities - **Resource Availability**: Ensure necessary resources are accessible - **Dependency Verification**: Validate all dependencies are met - **State Consistency**: Confirm system state is consistent #### During-Execution Checkpoints - **Progress Validation**: Verify intermediate results against expectations - **Resource Monitoring**: Track resource usage and availability - **Cross-Agent Consistency**: Ensure coordination between agents - **Real-time Truth Scoring**: Continuous verification of claims #### Post-Execution Checkpoints - **Result Verification**: Validate final outputs against specifications - **System Integrity**: Ensure no system corruption - **Performance Metrics**: Collect and validate performance data - **Truth Score Calculation**: Final truth score assessment ### 2.2 Checkpoint Implementation ```typescript interface Checkpoint { id: string; type: 'pre' | 'during' | 'post'; agent_id: string; task_id: string; timestamp: number; required: boolean; validations: Validation[]; state_snapshot: StateSnapshot; } interface Validation { name: string; type: 'test' | 'lint' | 'type' | 'build' | 'integration' | 'performance'; command: string; expected_result: any; actual_result?: any; passed: boolean; weight: number; } ``` ### 2.3 Pipeline Flow ```yaml verification_pipeline: stages: - name: "pre_execution" checkpoints: - capability_check - resource_validation - dependency_verification - state_consistency failure_action: "abort" - name: "execution_monitoring" checkpoints: - progress_validation - resource_monitoring - cross_agent_sync - truth_scoring failure_action: "escalate" - name: "post_execution" checkpoints: - result_verification - system_integrity - performance_validation - final_truth_score failure_action: "rollback" ``` ## 3. Truth Scoring System ### 3.1 Enhanced Truth Score Calculation The truth scoring system evaluates agent claims against reality with enhanced precision: ```typescript interface TruthScoreConfig { minimum_threshold: 0.95; weights: { tests: 0.30; integration_tests: 0.25; lint: 0.15; type_check: 0.15; build: 0.10; performance: 0.05; }; evidence_requirements: { automated_tests: true; manual_verification: true; cross_agent_validation: true; system_integration: true; }; } ``` ### 3.2 Evidence Collection Framework ```typescript interface Evidence { test_results: { unit_tests: TestResults; integration_tests: TestResults; e2e_tests: TestResults; cross_agent_tests: TestResults; }; code_quality: { lint_results: LintResults; type_results: TypeResults; complexity_metrics: ComplexityMetrics; security_scan: SecurityResults; }; system_health: { build_results: BuildResults; deployment_status: DeploymentStatus; performance_metrics: PerformanceMetrics; resource_usage: ResourceMetrics; }; agent_coordination: { communication_logs: CommunicationLogs; state_consistency: StateValidation; task_dependencies: DependencyValidation; }; } ``` ### 3.3 Truth Score Calculation Algorithm ```typescript class EnhancedTruthScoreCalculator { calculateTruthScore(evidence: Evidence, claims: AgentClaims): TruthScore { const weights = this.config.weights; let score = 0; const discrepancies: Discrepancy[] = []; // Test verification (30%) const testScore = this.verifyTestClaims(evidence.test_results, claims.test_claims); score += testScore.score * weights.tests; discrepancies.push(...testScore.discrepancies); // Integration verification (25%) const integrationScore = this.verifyIntegrationClaims( evidence.test_results.integration_tests, claims.integration_claims ); score += integrationScore.score * weights.integration_tests; discrepancies.push(...integrationScore.discrepancies); // Code quality verification (30%) const qualityScore = this.verifyQualityClaims(evidence.code_quality, claims.quality_claims); score += qualityScore.score * (weights.lint + weights.type_check); discrepancies.push(...qualityScore.discrepancies); // Build and deployment verification (10%) const buildScore = this.verifyBuildClaims(evidence.system_health, claims.build_claims); score += buildScore.score * weights.build; discrepancies.push(...buildScore.discrepancies); // Performance verification (5%) const perfScore = this.verifyPerformanceClaims( evidence.system_health.performance_metrics, claims.performance_claims ); score += perfScore.score * weights.performance; discrepancies.push(...perfScore.discrepancies); return { score: Math.round(score * 1000) / 1000, threshold: this.config.minimum_threshold, passed: score >= this.config.minimum_threshold, discrepancies, evidence_quality: this.assessEvidenceQuality(evidence), timestamp: Date.now() }; } } ``` ## 4. Cross-Agent Integration Testing Framework ### 4.1 Agent Interaction Validation ```typescript interface CrossAgentTest { id: string; name: string; participating_agents: string[]; scenario: TestScenario; expected_outcomes: ExpectedOutcome[]; validation_rules: ValidationRule[]; dependencies: string[]; } interface TestScenario { description: string; setup: SetupStep[]; interactions: AgentInteraction[]; teardown: CleanupStep[]; } interface AgentInteraction { from_agent: string; to_agent: string; message_type: string; payload: any; expected_response: any; timeout_ms: number; } ``` ### 4.2 Integration Test Suite ```yaml cross_agent_tests: - name: "coordination_handoff" agents: ["coordinator", "coder", "tester"] scenario: - coordinator_assigns_task - coder_implements_solution - tester_validates_implementation - coordinator_verifies_completion validations: - message_delivery_time < 1000ms - task_state_consistency - agent_response_accuracy > 95% - name: "parallel_execution" agents: ["researcher", "analyst", "optimizer"] scenario: - parallel_task_assignment - concurrent_execution - result_synchronization validations: - no_resource_conflicts - data_consistency - completion_within_timeout - name: "error_recovery" agents: ["coordinator", "monitor", "recovery"] scenario: - inject_error_condition - monitor_detects_failure - recovery_initiates_rollback - coordinator_reassigns_task validations: - error_detection_time < 5000ms - successful_rollback - task_reassignment_successful ``` ### 4.3 Test Execution Engine ```typescript class CrossAgentTestExecutor { async executeTestSuite(suite: CrossAgentTestSuite): Promise<TestResults> { const results: TestResults = { total_tests: suite.tests.length, passed: 0, failed: 0, test_details: [] }; for (const test of suite.tests) { const result = await this.executeTest(test); results.test_details.push(result); if (result.passed) { results.passed++; } else { results.failed++; } } return results; } private async executeTest(test: CrossAgentTest): Promise<TestResult> { const testContext = await this.setupTestContext(test); try { // Execute scenario await this.executeScenario(test.scenario, testContext); // Validate outcomes const validationResults = await this.validateOutcomes( test.expected_outcomes, test.validation_rules, testContext ); return { test_id: test.id, passed: validationResults.all_passed, details: validationResults.details, execution_time_ms: testContext.execution_time, evidence: testContext.evidence }; } catch (error) { return { test_id: test.id, passed: false, error: error.message, execution_time_ms: testContext.execution_time }; } finally { await this.cleanupTestContext(testContext); } } } ``` ## 5. State Management and Rollback Capabilities ### 5.1 State Snapshot System ```typescript interface StateSnapshot { id: string; timestamp: number; agent_states: Map<string, AgentState>; system_state: SystemState; task_states: Map<string, TaskState>; memory_state: MemoryState; file_system_state: FileSystemState; database_state: DatabaseState; checksum: string; } interface AgentState { id: string; status: 'idle' | 'active' | 'error' | 'suspended'; current_task: string | null; capabilities: string[]; memory: AgentMemory; configuration: AgentConfig; performance_metrics: PerformanceMetrics; } ``` ### 5.2 Rollback Engine ```typescript class RollbackEngine { async createCheckpoint( description: string, agents: string[], scope: 'local' | 'system' | 'global' ): Promise<string> { const checkpoint_id = generateId(); const snapshot = await this.captureSystemState(agents, scope); await this.stateStore.saveSnapshot(checkpoint_id, snapshot); await this.auditLogger.logCheckpoint(checkpoint_id, description, agents); return checkpoint_id; } async rollbackToCheckpoint( checkpoint_id: string, verification_mode: 'strict' | 'partial' | 'force' ): Promise<RollbackResult> { const snapshot = await this.stateStore.getSnapshot(checkpoint_id); if (!snapshot) { throw new Error(`Checkpoint ${checkpoint_id} not found`); } // Verify rollback is safe if (verification_mode === 'strict') { const safetyCheck = await this.verifySafeRollback(snapshot); if (!safetyCheck.safe) { throw new Error(`Unsafe rollback: ${safetyCheck.reasons.join(', ')}`); } } // Execute rollback const rollback_start = Date.now(); try { // Suspend all agents await this.suspendAllAgents(); // Restore states await this.restoreAgentStates(snapshot.agent_states); await this.restoreSystemState(snapshot.system_state); await this.restoreTaskStates(snapshot.task_states); await this.restoreMemoryState(snapshot.memory_state); await this.restoreFileSystemState(snapshot.file_system_state); await this.restoreDatabaseState(snapshot.database_state); // Resume agents await this.resumeAllAgents(); // Verify rollback success const verification = await this.verifyRollbackSuccess(snapshot); return { success: verification.verified, checkpoint_id, rollback_time_ms: Date.now() - rollback_start, verification_details: verification.details }; } catch (error) { // Emergency recovery await this.emergencyRecovery(); throw new Error(`Rollback failed: ${error.message}`); } } } ``` ### 5.3 State Consistency Validation ```typescript class StateConsistencyValidator { async validateSystemConsistency(): Promise<ConsistencyReport> { const checks = await Promise.all([ this.validateAgentConsistency(), this.validateTaskConsistency(), this.validateMemoryConsistency(), this.validateFileSystemConsistency(), this.validateDatabaseConsistency() ]); const inconsistencies = checks.flatMap(check => check.inconsistencies); return { consistent: inconsistencies.length === 0, inconsistencies, checked_at: new Date().toISOString(), repair_suggestions: this.generateRepairSuggestions(inconsistencies) }; } private async validateAgentConsistency(): Promise<ConsistencyCheck> { const agents = await this.agentManager.getAllAgents(); const inconsistencies: Inconsistency[] = []; for (const agent of agents) { // Validate agent state if (agent.current_task && !await this.taskExists(agent.current_task)) { inconsistencies.push({ type: 'orphaned_task_reference', agent_id: agent.id, details: `Agent references non-existent task: ${agent.current_task}` }); } // Validate memory consistency if (!await this.validateAgentMemory(agent)) { inconsistencies.push({ type: 'memory_corruption', agent_id: agent.id, details: 'Agent memory state is corrupted' }); } } return { component: 'agents', inconsistencies }; } } ``` ## 6. GitHub Actions and CI/CD Integration ### 6.1 CI/CD Pipeline Configuration ```yaml # .github/workflows/verification.yml name: Verification and Truth Enforcement on: push: branches: [ main, develop ] pull_request: branches: [ main ] workflow_dispatch: jobs: pre_verification: name: Pre-Execution Verification runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Setup Node.js uses: actions/setup-node@v4 with: node-version: '20' cache: 'npm' - name: Install dependencies run: npm ci - name: Run capability verification run: npx claude-flow verification check-capabilities - name: Validate agent configurations run: npx claude-flow verification validate-agents - name: Check system prerequisites run: npx claude-flow verification check-prerequisites truth_scoring: name: Truth Score Validation needs: pre_verification runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Run unit tests run: npm test - name: Run integration tests run: npm run test:integration - name: Run cross-agent tests run: npx claude-flow verification run-cross-agent-tests - name: Calculate truth score id: truth_score run: | SCORE=$(npx claude-flow verification calculate-truth-score) echo "score=$SCORE" >> $GITHUB_OUTPUT - name: Validate truth threshold run: | if (( $(echo "${{ steps.truth_score.outputs.score }} < 0.95" | bc -l) )); then echo "Truth score ${{ steps.truth_score.outputs.score }} below threshold 0.95" exit 1 fi state_management: name: State Management Validation needs: truth_scoring runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Create test checkpoint run: npx claude-flow verification create-checkpoint "ci_test" - name: Simulate state changes run: npx claude-flow verification simulate-changes - name: Test rollback capability run: npx claude-flow verification test-rollback "ci_test" - name: Validate state consistency run: npx claude-flow verification validate-consistency deployment_verification: name: Deployment Verification needs: [truth_scoring, state_management] runs-on: ubuntu-latest if: github.ref == 'refs/heads/main' steps: - uses: actions/checkout@v4 - name: Deploy to staging run: npx claude-flow deploy staging - name: Run end-to-end verification run: npx claude-flow verification run-e2e-tests staging - name: Validate production readiness run: npx claude-flow verification validate-production-readiness - name: Generate verification report run: npx claude-flow verification generate-report - name: Upload verification artifacts uses: actions/upload-artifact@v4 with: name: verification-report path: reports/verification-*.json ``` ### 6.2 GitHub Actions Integration Points ```typescript class GitHubActionsIntegration { async setupVerificationWorkflow(repo: string, config: VerificationConfig): Promise<void> { const workflow = this.generateWorkflow(config); await this.githubAPI.createWorkflow(repo, '.github/workflows/verification.yml', workflow); // Setup required checks await this.githubAPI.updateBranchProtection(repo, 'main', { required_status_checks: { strict: true, contexts: [ 'Pre-Execution Verification', 'Truth Score Validation', 'State Management Validation' ] }, enforce_admins: true, required_pull_request_reviews: { required_approving_review_count: 2, dismiss_stale_reviews: true } }); } async triggerVerificationOnPR(pr: PullRequest): Promise<VerificationResult> { // Trigger verification workflow const workflow_run = await this.githubAPI.triggerWorkflow( pr.repository, 'verification.yml', { ref: pr.head.ref, inputs: { pr_number: pr.number.toString(), verification_mode: 'strict' } } ); // Wait for completion and collect results const result = await this.waitForWorkflowCompletion(workflow_run.id); // Update PR with verification status await this.updatePRStatus(pr, result); return result; } } ``` ## 7. Component Interfaces and APIs ### 7.1 Verification Manager Interface ```typescript interface VerificationManager { // Checkpoint management createCheckpoint(description: string, scope: CheckpointScope): Promise<string>; listCheckpoints(filter?: CheckpointFilter): Promise<Checkpoint[]>; deleteCheckpoint(id: string): Promise<void>; // Truth scoring calculateTruthScore(evidence: Evidence, claims: AgentClaims): Promise<TruthScore>; storeTruthScore(score: TruthScore): Promise<void>; getAgentReliability(agent_id: string): Promise<ReliabilityReport>; // State management captureSystemState(scope: StateScope): Promise<StateSnapshot>; rollbackToCheckpoint(checkpoint_id: string, mode: RollbackMode): Promise<RollbackResult>; validateStateConsistency(): Promise<ConsistencyReport>; // Integration testing runCrossAgentTests(suite?: string): Promise<TestResults>; validateAgentCommunication(): Promise<CommunicationReport>; // Reporting generateVerificationReport(format: 'json' | 'html' | 'markdown'): Promise<string>; exportMetrics(timeframe: string): Promise<MetricsExport>; } ``` ### 7.2 Agent Integration Interface ```typescript interface AgentVerificationInterface { // Required by all agents validateCapabilities(): Promise<CapabilityValidation>; reportTaskClaims(task_id: string, claims: TaskClaims): Promise<void>; provideEvidence(task_id: string): Promise<Evidence>; // State management saveState(): Promise<AgentState>; restoreState(state: AgentState): Promise<void>; validateState(): Promise<StateValidation>; // Communication verification validateMessage(message: AgentMessage): Promise<MessageValidation>; reportCommunicationMetrics(): Promise<CommunicationMetrics>; } ``` ## 8. Data Flow Diagrams ### 8.1 Verification Pipeline Data Flow ```mermaid sequenceDiagram participant A as Agent participant VP as Verification Pipeline participant TS as Truth Scorer participant SM as State Manager participant ES as Evidence Store participant CI as CI/CD A->>VP: Submit task claims VP->>SM: Create checkpoint VP->>ES: Collect evidence ES->>TS: Provide evidence TS->>VP: Calculate truth score alt Score >= 0.95 VP->>A: Approve task VP->>CI: Update success metrics else Score < 0.95 VP->>SM: Trigger rollback VP->>A: Reject task with evidence VP->>CI: Report failure end ``` ### 8.2 Cross-Agent Integration Flow ```mermaid graph LR A1[Agent 1] --> CT[Cross-Agent Tester] A2[Agent 2] --> CT A3[Agent 3] --> CT CT --> VE[Validation Engine] VE --> TS[Truth Scorer] TS --> SM[State Manager] SM --> RB[Rollback Engine] SM --> CP[Checkpoint Store] VE --> RP[Report Generator] RP --> CI[CI/CD Integration] ``` ## 9. Implementation Roadmap ### Phase 1: Core Infrastructure (Weeks 1-2) - Implement basic verification pipeline - Create truth scoring engine - Setup checkpoint system - Basic state management ### Phase 2: Integration Testing (Weeks 3-4) - Cross-agent test framework - Agent communication validation - Integration with existing agents - Performance optimization ### Phase 3: Advanced Features (Weeks 5-6) - Advanced rollback capabilities - State consistency validation - Evidence collection automation - GitHub Actions integration ### Phase 4: Production Hardening (Weeks 7-8) - Security auditing - Performance tuning - Documentation completion - Production deployment ## 10. Security Considerations ### 10.1 Verification Security - All verification processes run in isolated environments - Evidence collection uses read-only access where possible - State snapshots are encrypted at rest - Rollback operations require multi-factor authorization ### 10.2 Truth Score Integrity - Truth scores are cryptographically signed - Evidence provenance is tracked and verified - Audit logs are immutable and distributed - Regular integrity checks on stored data ## 11. Monitoring and Alerting ### 11.1 Key Metrics - Truth score distribution across agents - Verification pipeline latency - Rollback frequency and success rate - State consistency violation frequency - Cross-agent test pass rates ### 11.2 Alert Conditions - Truth score below threshold (0.95) - Verification pipeline failure - State inconsistency detected - Rollback operation required - Cross-agent communication failure ## 12. Conclusion This verification and truth enforcement architecture provides a robust foundation for ensuring high-fidelity execution in the Claude-Flow multi-agent system. By implementing mandatory checkpoints, rigorous truth scoring, comprehensive integration testing, and reliable state management, the system can maintain exceptional reliability and trust. The architecture is designed to be: - **Scalable**: Handles increasing numbers of agents and tasks - **Reliable**: Comprehensive error detection and recovery - **Secure**: Protected against various attack vectors - **Observable**: Rich monitoring and reporting capabilities - **Maintainable**: Clear interfaces and modular design Implementation should follow the phased approach outlined, with continuous testing and validation at each stage to ensure the system meets its stringent reliability requirements.