🚀 One-Line Integration
Add AgentIQ monitoring to any agent system with a single line of code:
# Install: pip install requests
from agentiq_sdk import AgentIQSDK
agentiq = AgentIQSDK("https://agentiq-api-z9it.onrender.com")
# Add to any agent interaction:
agentiq.trace(session_id, "step_name", user_input, agent_output, metadata)
✅ Non-blocking: Your agents work normally even if AgentIQ is down
🎯 Multi-Agent System Monitoring
Customer Support Workflow
# Agent 1: Intent Classification
agentiq.trace(session_id, "intent_classifier",
user_input, "BILLING_DISPUTE detected",
{"confidence": 0.94})
# Agent 2: Billing Specialist
agentiq.trace(session_id, "billing_agent",
"investigate_charge", "Found duplicate",
{"amount": 29.99})
# Agent 3: Refund Processing
agentiq.trace(session_id, "refund_processor",
"process_refund", "Refund successful",
{"refund_id": "rf_123"})
Sales Agent Orchestra
# Agent 1: Lead Qualification
agentiq.trace(session_id, "lead_qualifier",
user_query, "Qualified enterprise lead",
{"team_size": 50, "score": 0.92})
# Agent 2: Product Specialist
agentiq.trace(session_id, "product_agent",
"recommend_plan", "Enterprise Pro suggested",
{"monthly_value": 4999})
# Agent 3: Pricing Calculator
agentiq.trace(session_id, "pricing_agent",
"calculate_price", "Custom pricing generated",
{"final_price": 3999})
📊 What AgentIQ Provides
🔍 Automatic Evaluation
- LLM-powered interaction scoring
- 4-dimensional quality metrics
- Failure categorization
- Context-aware analysis
📈 Real-time Analytics
- Completion rates by intent
- Agent performance trends
- Multi-agent coordination insights
- Tool usage analytics
🎯 Pattern Detection
- Failure mode clustering
- Root cause analysis
- Improvement recommendations
- Impact prioritization
🚀 Production Ready
- PostgreSQL + FastAPI backend
- RESTful API architecture
- Horizontal scaling ready
- Enterprise deployment options
🌐 Live Production Endpoints
GET /health
✅ System health and service status
POST /ingest/json
📤 Upload agent interaction logs (JSON format)
POST /ingest/csv
📊 Bulk upload via CSV files
GET /analytics/dashboard-summary
📈 Real-time analytics and KPIs
GET /patterns/insights/top-intents
🎯 Pattern analysis and failure insights
GET /docs
📚 Interactive API documentation (Swagger UI)
💡 Integration Examples Tested
✅ Customer Support Multi-Agent System
Scenario: Billing dispute resolution workflow
Agents: Intent Classifier → Billing Specialist → Refund Processor → Communication Agent
Result: Full conversation flow tracked with metadata and success metrics
✅ Sales Agent Orchestration
Scenario: Enterprise lead qualification and pricing
Agents: Lead Qualifier → Product Specialist → Pricing Calculator
Result: Lead scoring, product recommendations, and pricing tracked end-to-end
⚠️ Error Handling & Recovery
Scenario: Agent processing failures and timeouts
Tracking: Error types, failure modes, recovery attempts
Result: Complete error analytics for system improvement
🎉 Ready for Production
AgentIQ is deployed and operational with:
- ✅ Live Production API handling real agent data
- ✅ PostgreSQL Database with complete schema
- ✅ Multi-Agent Support tested and verified
- ✅ Error Tracking for robust monitoring
- ✅ Open Source codebase on GitHub
- ✅ SDK Integration examples provided
# Get started today:
curl https://agentiq-api-z9it.onrender.com/health
# View API documentation:
open https://agentiq-api-z9it.onrender.com/docs
# GitHub repository:
git clone https://github.com/priyamathur/AgentIQ
🚀 Start Monitoring Your Agents Today
AgentIQ transforms how you understand and improve AI agent systems