Agent Management Overview

Field	Value
Document ID	ASCEND-AGENT-004
Version	1.0.0
Last Updated	December 19, 2025
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.

Architecture

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

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

1. Use descriptive agent IDs — Include team, purpose, environment
2. Set appropriate type — Don't use autonomous for supervised tasks
3. Configure thresholds — Tune risk thresholds to your use case
4. Enable heartbeats — Critical for health monitoring
5. 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

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Document Version: 1.0.0 | Last Updated: December 2025