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Send a Request

curl -X POST https://hitheo.ai/api/v1/completions \
  -H "Authorization: Bearer $THEO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "What are the three laws of thermodynamics? Explain each in one sentence.",
    "mode": "auto"
  }'

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Response

{
  "id": "comp_abc123",
  "object": "completion",
  "created": "2026-04-10T12:00:00Z",
  "content": "1. **Zeroth Law**: If two systems are each in thermal equilibrium with a third, they are in equilibrium with each other...",
  "mode": "auto",
  "resolved_mode": "fast",
  "model": {
    "id": "theo-1-flash",
    "label": "Theo Flash",
    "engine": "theo-core"
  },
  "tools_used": [],
  "artifacts": [],
  "follow_ups": [
    { "label": "Explain entropy", "prompt": "Explain entropy in simple terms" },
    { "label": "Real-world examples", "prompt": "Give real-world examples of each law" }
  ],
  "usage": {
    "cost_cents": 0.02
  }
}

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What Just Happened

  1. Theo classified your prompt as a simple Q&A task (resolved_mode: "fast")
  2. Routed to theo-1-flash for speed
  3. No tools were needed, so the agent loop was skipped
  4. Response was cached, billed (0.02¢), and audited

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Try Different Modes

# Code generation — routes to Theo Code
curl -X POST https://hitheo.ai/api/v1/completions \
  -H "Authorization: Bearer $THEO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Write a TypeScript function that debounces any callback", "mode": "code"}'

# Deep reasoning — routes to Theo Reason
curl -X POST https://hitheo.ai/api/v1/completions \
  -H "Authorization: Bearer $THEO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Compare microservices vs monolith architecture for a 10-person startup", "mode": "think"}'

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With Skills

Activate domain expertise by passing skill slugs: 
curl -X POST https://hitheo.ai/api/v1/completions \
  -H "Authorization: Bearer $THEO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Check current inventory for SKU-1234 across all warehouses",
    "skills": ["inventory-check"]
  }'
The skill’s system prompt extension and tool definitions are injected into the pipeline automatically.