curl --request POST \
  --url 'https://my.orq.ai/v3/model-fusions' \
  --header "Authorization: Bearer $ORQ_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "key": "support-fusion",
    "panel_models": ["anthropic/claude-opus-5", "openai/gpt-5.4-mini"],
    "judge_model": "openai/gpt-5.4",
    "synthesis_mode": "MODEL_FUSION_SYNTHESIS_MODE_JUDGE_WRITES_FINAL",
    "preset": "MODEL_FUSION_PRESET_GENERAL"
  }'

import { Orq } from '@orq-ai/node';

const client = new Orq({ apiKey: process.env.ORQ_API_KEY });
const result = await client.modelFusions.create({
  key: 'support-fusion',
  panelModels: ['anthropic/claude-opus-5', 'openai/gpt-5.4-mini'],
  judgeModel: 'openai/gpt-5.4',
  synthesisMode: 'MODEL_FUSION_SYNTHESIS_MODE_JUDGE_WRITES_FINAL',
  preset: 'MODEL_FUSION_PRESET_GENERAL',
});

console.log(result.modelFusion.modelRef);

import requests

url = "https://my.orq.ai/v3/model-fusions"

payload = {
    "key": "<string>",
    "panel_models": ["<string>"],
    "judge_model": "<string>",
    "orchestrator_model": "<string>",
    "web_tools": True,
    "max_tool_calls": 123,
    "feed_raw_to_synth": True
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

{
  "model_fusion": {
    "model_fusion_id": "<string>",
    "key": "<string>",
    "model_ref": "<string>",
    "panel_models": [
      "<string>"
    ],
    "judge_model": "<string>",
    "synthesis_mode": "MODEL_FUSION_SYNTHESIS_MODE_ANALYSIS",
    "preset": "MODEL_FUSION_PRESET_GENERAL",
    "web_tools": true,
    "max_tool_calls": 123,
    "feed_raw_to_synth": true,
    "enabled": true,
    "created_at": "2023-11-07T05:31:56Z",
    "updated_at": "2023-11-07T05:31:56Z",
    "orchestrator_model": "<string>"
  }
}

{
  "message": "<string>",
  "code": 123,
  "details": [
    "<unknown>"
  ]
}