Agent List
View and monitor deployed agents and their status.
Overview
The hyperfold agent list command shows all deployed agents with their current status, performance metrics, and configuration. Use it to monitor agent health and identify issues.
List Agents
View all agents in your project:
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# List all deployed agents$ hyperfold agent list AGENTS (4 total) NAME TYPE STATUS SESSIONS LAST ACTIVEsales-bot-01 negotiator active 127 2 min agosales-bot-02 negotiator active 89 5 min agofulfillment-agent fulfillment active 45 1 min agorecommender-01 recommender idle 0 3 hours ago # Detailed view$ hyperfold agent list --verbose NAME: sales-bot-01 ID: agent_abc123 Type: negotiator Status: active Region: us-central1 Created: 2025-12-01T10:00:00Z Last Active: 2025-12-19T14:28:00Z PERFORMANCE (24h): Sessions: 127 Conversions: 42 (33%) Avg Discount: 12.3% Revenue: $8,450 CONFIGURATION: Model: gpt-4o System Prompt: 1,247 tokens Max Sessions: 50 concurrentAgent Types
| Type | Purpose |
|---|---|
negotiator | Price negotiation with buyer agents |
fulfillment | Order fulfillment and shipping |
recommender | Product recommendations and bundles |
order | Order management and status |
ads | Promotional content for ad networks |
custom | Custom agent implementations |
Agent Details
Get comprehensive information about a specific agent:
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# Get detailed info for specific agent$ hyperfold agent get sales-bot-01 AGENT: sales-bot-01━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ IDENTITY ID: agent_abc123 Name: sales-bot-01 Type: negotiator Status: active DEPLOYMENT Region: us-central1 Instances: 3 (auto-scaled) Cloud Run URL: https://sales-bot-01-xyz.run.app CONFIGURATION LLM Model: gpt-4o Temperature: 0.7 Max Tokens: 2048 System Prompt: "./prompts/negotiator-v2.txt" CONNECTIONS Catalog: Firestore (default) Payments: Stripe (connected) CRM: Salesforce (connected) LIMITS Max Concurrent: 50 sessions Rate Limit: 100 req/min Session TTL: 1 hour METRICS (last 24h) Total Sessions: 127 Active Sessions: 12 Conversion Rate: 33% Avg Response Time: 1.2s Error Rate: 0.3%Filtering & Search
Filter the agent list by various criteria:
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# Filter by status$ hyperfold agent list --status=active$ hyperfold agent list --status=idle$ hyperfold agent list --status=error # Filter by type$ hyperfold agent list --type=negotiator$ hyperfold agent list --type=fulfillment$ hyperfold agent list --type=recommender # Search by name$ hyperfold agent list --search="sales" # Filter by region$ hyperfold agent list --region=us-central1 # Multiple filters$ hyperfold agent list --type=negotiator --status=active # Output as JSON$ hyperfold agent list --output=jsonStatus Monitoring
Monitor agent status in real-time:
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# Watch agent status in real-time$ hyperfold agent list --watch [Live] Refreshing every 5s... (Ctrl+C to stop) NAME STATUS SESSIONS REQ/MIN ERRORSsales-bot-01 active 127 →129 45 0sales-bot-02 active 89 32 0fulfillment-agent active 45 →47 28 0recommender-01 idle 0 0 0 [14:30:15] sales-bot-01: New session started[14:30:18] fulfillment-agent: Order fulfilled (order_789)[14:30:22] sales-bot-01: Conversion! $162.00 # Health check for all agents$ hyperfold agent health AGENT HEALTH CHECK━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ sales-bot-01 ✓ healthy Response time: 120ms (p95: 340ms) Memory: 256MB / 512MB CPU: 23% sales-bot-02 ✓ healthy Response time: 115ms (p95: 310ms) Memory: 234MB / 512MB CPU: 19% fulfillment-agent ⚠ degraded Response time: 890ms (p95: 2.1s) ← HIGH Memory: 478MB / 512MB ← NEAR LIMIT CPU: 67% recommender-01 ✓ healthy (idle) Last active: 3 hours agoAgents in "degraded" status are still operational but may have performance issues. Check resource allocation and consider scaling up.
JSON Output
Get structured output for automation:
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# JSON output for scripting$ hyperfold agent list --output=json { "agents": [ { "id": "agent_abc123", "name": "sales-bot-01", "type": "negotiator", "status": "active", "region": "us-central1", "metrics": { "sessions_24h": 127, "conversion_rate": 0.33, "avg_response_ms": 120 } } ], "total": 4, "active": 3, "idle": 1}Deploy new agents with agent deploy.