GPT 5.2 API Reference
Endpoint
POST https://api.muapi.ai/api/v1/gpt-5-2Submit a job with your MuApi API key in the x-api-key header, then poll https://api.muapi.ai/api/v1/predictions/{request_id}/result until status is completed.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
| prompt | string | Yes | The user message or instruction. |
| image_url | string | No | Optional image URL for multimodal requests. |
| system_prompt | string | No | Optional system-level instruction to guide model behavior. |
| web_search_switch | boolean | No | Enable web search capability.Default: false |
| reasoning_effort | string | No | Level of reasoning depth: low, medium, or high.Options: low, medium, highDefault: "high" |
cURL example
REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/gpt-5-2 \
-H "x-api-key: $MUAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"<prompt>"}' | jq -r .request_id)
curl -s https://api.muapi.ai/api/v1/predictions/$REQUEST_ID/result -H "x-api-key: $MUAPI_API_KEY"Python example
import os, time, requests
API = "https://api.muapi.ai/api/v1"
headers = {"x-api-key": os.environ["MUAPI_API_KEY"]}
r = requests.post(f"{API}/gpt-5-2", headers=headers, json={"prompt":"<prompt>"})
request_id = r.json()["request_id"]
while True:
res = requests.get(f"{API}/predictions/{request_id}/result", headers=headers).json()
if res["status"] == "completed":
print(res["outputs"]); break
if res["status"] == "failed":
raise RuntimeError(res.get("error"))
time.sleep(3)Full docs and agent/MCP integration: llms.txt. Get an API key at muapi.ai/access-keys.