Testing & Publishing

Validate your AI partners thoroughly and deploy them confidently across your organization. All testing and publishing happens through the Mamentis app interface with comprehensive validation tools.

Testing AI Partners

Comprehensive Partner Validation

Agent Behavior Testing:

1. Identity Consistency: Verify partners maintain their configured persona and role
2. Response Quality: Test accuracy, relevance, and adherence to instructions
3. Knowledge Integration: Validate proper use of attached knowledge sources
4. Tool Execution: Confirm safe and effective use of connected tools
5. Multi-Turn Conversations: Test context retention across extended interactions

Scenario-Based Testing:

• Typical Use Cases: Test common workflows and user interactions
• Edge Cases: Validate behavior with unusual or challenging inputs
• Error Scenarios: Ensure graceful handling of failures and limitations
• Load Testing: Verify performance under high usage conditions

Knowledge System Testing

Retrieval Accuracy Validation:

• Test information retrieval from attached knowledge sources
• Verify citation accuracy and source attribution
• Validate handling of conflicting or outdated information
• Test cross-reference capabilities across multiple sources

Knowledge Boundary Testing:

• Confirm partners stay within defined knowledge scopes
• Test handling of questions outside knowledge boundaries
• Verify appropriate escalation or referral behavior
• Validate privacy and security controls for sensitive information

Tool Integration Testing

MCP Server Validation:

• Test all connected Model Context Protocol servers
• Verify proper authentication and authorization
• Validate tool execution within defined scopes
• Test error handling and fallback mechanisms

Security and Permissions Testing:

• Confirm access controls and permission boundaries
• Test audit logging and compliance features
• Validate data protection and privacy safeguards
• Verify emergency controls and kill switches

Multi-Agent System Testing

Team Coordination Validation

Workflow Testing:

• Sequential Handoffs: Test partner-to-partner task transitions
• Parallel Processing: Validate concurrent multi-agent operations
• Conflict Resolution: Test handling of disagreements between agents
• Escalation Paths: Verify human-in-the-loop triggers

Communication Protocol Testing:

• Test inter-agent messaging and context sharing
• Validate information consistency across agent interactions
• Test coordination in complex, multi-step workflows
• Verify proper handling of agent failures or unavailability

Performance Testing

Response Time Benchmarks:

• Individual partner response times
• Multi-agent workflow completion times
• System performance under concurrent usage
• Resource utilization and optimization

Accuracy and Consistency Metrics:

• Output quality across multiple test runs
• Consistency in similar scenarios
• Accuracy of information retrieval and synthesis
• Reliability of tool execution and integration

Testing Framework and Tools

Automated Testing Suite

Built-in Test Scenarios:

• Common business use cases for each agent type
• Standard workflows and interaction patterns
• Error conditions and recovery procedures
• Performance benchmarks and thresholds

Custom Test Development:

• Create organization-specific test scenarios
• Define acceptance criteria for partner behavior
• Set up automated regression testing
• Configure performance monitoring and alerting

Staging Environment

Safe Testing Space:

• Isolated environment for partner validation
• Test integrations without affecting production systems
• Simulate real-world conditions and data
• Controlled access for testing team members

Data and Integration Testing:

• Use anonymized or synthetic data for testing
• Test with representative knowledge sources
• Validate integrations with staging versions of external systems
• Confirm compliance and security requirements

Publishing AI Partners

Pre-Publishing Validation

Configuration Review Checklist:

• Identity and Instructions: Clear, consistent partner definition
• Model Selection: Appropriate AI model for intended use cases
• Knowledge Sources: Current, relevant, and properly scoped information
• Tool Integrations: Tested and secured connections to external systems
• Security Settings: Proper access controls and guardrails
• Compliance Verification: Meeting organizational and regulatory requirements

Final Testing Protocol:

1. Complete automated test suite execution
2. Manual validation of critical workflows
3. Security and compliance review
4. Performance benchmarking
5. Stakeholder acceptance testing

Publishing Process

Deployment Configuration:

• Visibility Settings: Define who can access the partner
• Usage Permissions: Set role-based access controls
• Resource Limits: Configure usage quotas and rate limits
• Monitoring Setup: Enable tracking and analytics

Rollout Strategy:

• Pilot Deployment: Limited release to selected users
• Gradual Expansion: Phased rollout based on feedback
• Full Deployment: Organization-wide availability
• Monitoring and Support: Ongoing performance tracking

Version Management

Partner Versioning Strategy:

• Major Versions: Significant behavioral changes or new capabilities
• Minor Versions: Feature additions and improvements
• Patch Versions: Bug fixes and small optimizations
• Hotfixes: Critical security or functionality updates

Change Management:

• Impact Assessment: Evaluate changes on existing workflows
• Backward Compatibility: Maintain compatibility where possible
• Migration Planning: Smooth transition between versions
• Rollback Procedures: Quick reversion if issues arise

Quality Assurance Framework

Continuous Monitoring

Performance Metrics:

• Response Accuracy: Relevance and correctness of partner outputs
• Task Completion Rate: Success rate for assigned tasks
• User Satisfaction: Feedback and rating scores
• System Performance: Response times and resource usage

Automated Alerting:

• Performance degradation alerts
• Error rate threshold notifications
• Security and compliance violation warnings
• Resource usage and cost monitoring

Quality Improvement Process

Feedback Integration:

• Collect user feedback and ratings
• Analyze conversation logs for improvement opportunities
• Monitor partner performance against benchmarks
• Implement continuous learning and optimization

Regular Review Cycles:

• Weekly performance reviews
• Monthly quality assessments
• Quarterly capability evaluations
• Annual security and compliance audits

Advanced Testing Strategies

A/B Testing for Partners

Comparative Evaluation:

• Test different partner configurations
• Compare response quality and user satisfaction
• Evaluate different AI models and parameters
• Optimize based on real-world performance data

Experimental Design:

• Define clear success metrics
• Control for variables and bias
• Ensure statistical significance
• Document findings and recommendations

Load and Stress Testing

Capacity Planning:

• Test partner performance under peak loads
• Validate auto-scaling mechanisms
• Identify bottlenecks and optimization opportunities
• Plan for growth and expansion

Resilience Testing:

• Test partner behavior during system failures
• Validate failover and recovery mechanisms
• Test graceful degradation under resource constraints
• Ensure business continuity during outages

Compliance and Security Testing

Security Validation

Penetration Testing:

• Test partner security against known attack vectors
• Validate access controls and authentication mechanisms
• Test data protection and privacy safeguards
• Verify audit trail completeness and integrity

Compliance Verification:

• Data Protection: GDPR, CCPA, and privacy regulations
• Industry Standards: SOX, HIPAA, PCI-DSS compliance
• Internal Policies: Organizational security and governance requirements
• International Regulations: Cross-border data transfer compliance

Documentation and Audit Trail

Testing Documentation:

• Complete test plans and procedures
• Test results and performance metrics
• Security assessments and compliance reports
• Change logs and version history

Audit Preparation:

• Maintain comprehensive testing records
• Document security controls and validation
• Prepare compliance evidence and reports
• Ensure traceability of all partner activities

Support and Maintenance

Post-Deployment Support

Monitoring and Maintenance:

• Continuous performance monitoring
• Regular security updates and patches
• Knowledge source maintenance and updates
• User support and troubleshooting

Optimization and Enhancement:

• Performance tuning based on usage patterns
• Feature enhancements based on user feedback
• Integration improvements and expansions
• Cost optimization and resource management

Troubleshooting Common Issues

Partner Performance Issues:

• Slow Response Times: Optimize model selection and resource allocation
• Inaccurate Responses: Review knowledge sources and training data
• Tool Integration Failures: Verify connections and permissions
• Inconsistent Behavior: Check configuration and knowledge consistency

Deployment and Publishing Issues:

• Permission Errors: Verify access controls and role assignments
• Integration Failures: Test external system connectivity
• Performance Degradation: Monitor resource usage and optimization
• User Adoption Challenges: Provide training and support resources

Ready to explore partner capabilities? Continue to Tools to learn about extending partner functionality.