Endpoint coverage
Exposes 1 public endpoint(s): live.
curl -X POST https://runapi.ai/v1/live \
-H "Authorization: Bearer $RUNAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-live-1",
"prompt": "Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations."
}'
import { GptClient } from "@runapi.ai/gpt";
const client = new GptClient();
const result = await client.live.run({
model: "gpt-live-1",
prompt: "Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations.",
});
import os
import requests
response = requests.post(
"https://runapi.ai/v1/live",
headers={"Authorization": f"Bearer {os.environ['RUNAPI_API_KEY']}"},
json={"model":"gpt-live-1","prompt":"Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations."}
)
response.raise_for_status()
<?php
$client = curl_init("https://runapi.ai/v1/live");
curl_setopt_array($client, [
CURLOPT_HTTPHEADER => ["Authorization: Bearer " . getenv("RUNAPI_API_KEY"), "Content-Type: application/json"],
CURLOPT_POSTFIELDS => json_encode([
'model' => 'gpt-live-1',
'prompt' => 'Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations.',
])
]);
$response = curl_exec($client);
RunApi client = new RunApi(System.getenv("RUNAPI_API_KEY"));
Task task = client.live().run({"model":"gpt-live-1","prompt":"Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations."});
task.waitForResult();
require "runapi/gpt"
client = RunApi::Gpt::Client.new
result = client.live.run(
model: "gpt-live-1",
prompt: "Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations."
)
client := runapi.NewClient(os.Getenv("RUNAPI_API_KEY"))
task, err := client.live.Run({"model":"gpt-live-1","prompt":"Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations."})
if err != nil { log.Fatal(err) }
task.Wait()
$ runapi generate \
--model gpt-live-1 \
--endpoint live \
--wait
17 versions available
Pick any model and generate in seconds.
No models are available right now.
| Provider | OpenAI |
| Model ID | gpt-live-1 |
| Modality | Audio & Music |
| Task types | Asynchronous |
| API endpoint | /v1/live |
| Billing unit | minute |
| Catalog status | Operational |
Sign up for free and create an API key for gpt-live-1 from the dashboard.
POST to /v1/live with the gpt-live-1 model slug and your parameters.
Poll the task or follow the callback to retrieve the completed gpt-live-1 result.
Exposes 1 public endpoint(s): live.
Metered by minute with no subscription requirement.
No request parameters are published for this endpoint.
Generate royalty-free background music matched to episode mood without licensing fees.
Generate adaptive ambient soundscapes and effects for procedurally generated levels.
Generate custom voiceovers and sound effects for client spots without a recording studio.
Pass the model ID shown in the quickstart.
Per-key rate limits scale with your usage tier. The pricing page shows current limits. If you need higher throughput, contact support to discuss tier upgrades.
Yes. Variant is a parameter in the request. Switch by changing the model ID — no code changes, no re-authentication, no separate billing setup. All variants share the same API key and request shape.
Where streaming is available, RunAPI streams end-to-end. LLM models support token-level streaming. Media models use async task polling or webhook callbacks for result delivery.
Open an issue on the public GitHub repo or email support at [email protected]. Include the task ID and model ID so the team can investigate the specific generation.
No. Your RunAPI API key is enough to access this variant and every other model in the catalog. You do not need accounts with the underlying provider.
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