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proxy

Proxy requests to target endpoint through specified channel

POST /nextrouter/proxy/{channelid}/{target}
ParameterTypeRequiredDescription
channelidstringYesChannel ID
targetstringYesTarget path
{
"model": "gpt-4o-mini",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}
{
"custom_param": "value",
"another_param": 123
}
{
"model": "qwen-plus",
"prompt": "Write a tagline for a cloud proxy service",
"max_tokens": 60
}
{
"model": "whisper-1",
"file": "audio.mp3"
}

Successful response

const response = await fetch('https://api.r9s.ai/v1/nextrouter/proxy/{channelid}/{target}', {
method: 'POST',
headers: {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
},
body: JSON.stringify({
"model": "gpt-4o-mini",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
})
});
const data = await response.json();
console.log(data);
import requests
url = "https://api.r9s.ai/v1/nextrouter/proxy/{channelid}/{target}"
headers = {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
}
response = requests.post(url, json={
"model": "gpt-4o-mini",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}, headers=headers)
data = response.json()
print(data)
Terminal window
curl -X POST "https://api.r9s.ai/v1/nextrouter/proxy/{channelid}/{target}" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"gpt-4o-mini","messages":[{"role":"user","content":"Hello"}]}'