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.