Agent Management Overview
| Field | Value |
|---|---|
| Document ID | ASCEND-AGENT-004 |
| Version | 2026.04 |
| Last Updated | April 2026 |
| Author | Ascend Engineering Team |
| Publisher | OW-KAI Technologies Inc. |
| Classification | Enterprise Client Documentation |
| Compliance | SOC 2 CC6.1/CC6.2, PCI-DSS 7.1/8.3, HIPAA 164.312, NIST 800-53 AC-2/SI-4 |
Reading Time: 8 minutes | Skill Level: Beginner
Introduction
ASCEND provides enterprise-grade management for AI agents operating in your organization. Every agent must be registered, configured, and monitored before it can execute governed actions.
Agents set to autonomous mode can execute actions without human approval up to their configured risk threshold. Review trust levels and risk thresholds carefully before enabling autonomous operation.
Architecture
┌─────────────────────────────────────────────────────────────────────────────┐
│ AGENT MANAGEMENT ARCHITECTURE │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────────────────────────────────────────────────────────────┐ │
│ │ AGENT REGISTRY │ │
│ │ │ │
│ │ ┌───────────────┐ ┌───────────────┐ ┌───────────────┐ │ │
│ │ │ Agent │ │ Agent │ │ Agent │ │ │
│ │ │ Registration │ │ Lifecycle │ │ Versions │ │ │
│ │ │ │ │ │ │ │ │ │
│ │ │ • agent_id │ │ • draft │ │ • 1.0.0 │ │ │
│ │ │ • type │ │ • pending │ │ • 1.0.1 │ │ │
│ │ │ • org_id │ │ • active │ │ • 1.1.0 │ │ │
│ │ │ • policies │ │ • suspended │ │ • rollback │ │ │
│ │ └───────────────┘ └───────────────┘ └───────────────┘ │ │
│ │ │ │
│ └─────────────────────────────────────────────────────────────────────┘ │
│ │ │
│ ┌────────────────┼────────────────┐ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌─────────────────────┐ ┌─────────────┐ ┌─────────────────────┐ │
│ │ Health Monitor │ │ Kill-Switch │ │ Anomaly Detect │ │
│ │ │ │ │ │ │ │
│ │ • Heartbeat │ │ • BLOCK │ │ • Rate anomaly │ │
│ │ • Performance │ │ • UNBLOCK │ │ • Error rate │ │
│ │ • Error tracking │ │ • SUSPEND │ │ • Risk deviation │ │
│ │ • Auto-suspend │ │ • < 500ms │ │ • Auto-alert │ │
│ └─────────────────────┘ └─────────────┘ └─────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
Key Capabilities
1. Agent Registration
Register AI agents with comprehensive configuration:
from ascend import AscendClient
client = AscendClient(api_key="owkai_...")
# Register a new agent
registration = client.register(
agent_id="financial-agent-001",
agent_name="Financial Advisor Bot",
agent_type="supervised",
capabilities=["database.query", "api.read"],
metadata={
"owner": "finance-team@company.com",
"environment": "production"
}
)
print(f"Registered: {registration['agent_id']}")
print(f"Trust Level: {registration['trust_level']}")
2. Lifecycle Management
Agents progress through defined lifecycle states:
| State | Description | Actions Allowed |
|---|---|---|
draft | Being configured | None |
pending_approval | Awaiting admin review | None |
active | Operational | Full |
suspended | Temporarily disabled | None |
deprecated | Scheduled removal | Read-only |
retired | Decommissioned | None |
3. Health Monitoring
Continuous monitoring with Datadog-style metrics:
- Heartbeat tracking — Detect offline agents
- Performance metrics — Response time, error rate
- Auto-suspension — Trigger on thresholds
- Anomaly detection — Behavioral deviation alerts
4. Kill-Switch
Sub-500ms emergency agent shutdown:
# Emergency stop - immediate effect
client.kill_switch(
agent_id="compromised-agent",
reason="Security incident detected"
)
Agent Types
ASCEND supports five agent types with different trust levels:
| Type | Trust | Auto-Approve | Use Case |
|---|---|---|---|
| autonomous | Low | Risk < 40 | AI making independent decisions |
| supervised | Medium | Risk < 30 | Human-in-the-loop for high risk |
| advisory | High | Risk < 50 | Recommendations only |
| mcp_server | Medium | Varies | Model Context Protocol servers |
| custom | Configurable | Custom | Special use cases |
Type Selection Guide
┌────────────────────────────────────┐
│ What does your agent do? │
└───────────────┬────────────────────┘
│
┌─────────────────────┼─────────────────────┐
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Makes decisions │ │ Provides │ │ Exposes tools │
│ independently │ │ recommendations │ │ via MCP │
└────────┬────────┘ └────────┬────────┘ └────────┬────────┘
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ autonomous │ │ advisory │ │ mcp_server │
│ │ │ │ │ │
│ Strict limits │ │ Relaxed limits │ │ Tool-level │
│ Low risk cap │ │ High auto- │ │ governance │
│ Time windows │ │ approve │ │ │
└─────────────────┘ └─────────────────┘ └─────────────────┘
Multi-Tenant Isolation
All agents are scoped to organizations with complete isolation:
# Source: services/agent_registry_service.py:776
# Agents are ALWAYS filtered by organization_id
query = db.query(RegisteredAgent).filter(
RegisteredAgent.organization_id == organization_id
)
Isolation guarantees:
- Agent IDs unique within organization
- Cross-tenant access impossible
- Policies scoped to organization
- Audit logs isolated
Quick Start
1. Register Agent
curl -X POST "https://pilot.owkai.app/api/agents/registry" \
-H "Authorization: Bearer owkai_..." \
-H "Content-Type: application/json" \
-d '{
"agent_id": "my-agent-001",
"display_name": "My First Agent",
"agent_type": "supervised",
"allowed_action_types": ["database.query", "api.read"],
"auto_approve_below": 30,
"max_risk_threshold": 80
}'
2. Activate Agent
curl -X POST "https://pilot.owkai.app/api/agents/registry/my-agent-001/activate" \
-H "Authorization: Bearer owkai_..."
3. Start Sending Heartbeats
import time
import requests
while True:
requests.post(
"https://pilot.owkai.app/api/agents/health/heartbeat",
headers={"Authorization": "Bearer owkai_..."},
json={
"agent_id": "my-agent-001",
"metrics": {
"response_time_ms": 45.2,
"error_rate": 0.5,
"requests_count": 1247
}
}
)
time.sleep(60) # Every 60 seconds
4. Submit Actions
from ascend import AscendClient
client = AscendClient(
api_key="owkai_...",
agent_id="my-agent-001"
)
result = client.evaluate_action(
action_type="database.query",
resource="customers",
parameters={"query": "SELECT * FROM users LIMIT 10"}
)
if result.execution_allowed:
# Proceed with action
pass
API Endpoints
| Endpoint | Method | Description |
|---|---|---|
/api/agents/registry | POST | Register agent |
/api/agents/registry | GET | List agents |
/api/agents/registry/{id} | GET | Get agent details |
/api/agents/registry/{id} | PUT | Update agent |
/api/agents/registry/{id}/activate | POST | Activate agent |
/api/agents/registry/{id}/suspend | POST | Suspend agent |
/api/agents/health/heartbeat | POST | Send heartbeat |
/api/agents/health/summary | GET | Health dashboard |
/api/agents/control/block | POST | Kill-switch |
Compliance
Agent management meets enterprise compliance requirements:
| Standard | Requirement | Implementation |
|---|---|---|
| SOC 2 CC6.1 | Access control | Agent registration |
| SOC 2 CC6.2 | Authorization | Activation approval |
| SOC 2 CC7.1 | Monitoring | Health tracking |
| NIST AC-2 | Account management | Lifecycle states |
| NIST IR-4 | Incident handling | Kill-switch |
| PCI-DSS 8.3 | Identity management | Agent registry |
| HIPAA 164.308 | Security incidents | Auto-suspend |
Best Practices
- Use descriptive agent IDs — Include team, purpose, environment
- Set appropriate type — Don't use autonomous for supervised tasks
- Configure thresholds — Tune risk thresholds to your use case
- Enable heartbeats — Critical for health monitoring
- Plan for incidents — Test kill-switch procedures
Next Steps
- Agent Registry — Detailed registration guide
- Lifecycle Management — State transitions
- Trust Levels — Agent type deep dive
- Health Monitoring — Metrics and alerts
- Kill-Switch — Emergency procedures
Document Version: 2026.04 | Last Updated: April 2026