import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.tributary.cc/openai/v1",
apiKey: "<TRIBUTARY_API_KEY>",
});
const completion = await client.chat.completions.create({
model: "qwen:qwen2.5-vl-32b-instruct",
messages: [
{ role: "user", content: "Hello!" }
],
});
console.log(completion.choices[0].message.content);
const response = await fetch(
"https://api.tributary.cc/openai/v1/chat/completions",
{
method: "POST",
headers: {
"Authorization": "Bearer <TRIBUTARY_API_KEY>",
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "qwen:qwen2.5-vl-32b-instruct",
messages: [
{ role: "user", content: "Hello!" }
],
}),
}
);
const data = await response.json();
console.log(data.choices[0].message.content);
from openai import OpenAI
client = OpenAI(
base_url="https://api.tributary.cc/openai/v1",
api_key="<TRIBUTARY_API_KEY>",
)
completion = client.chat.completions.create(
model="qwen:qwen2.5-vl-32b-instruct",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(completion.choices[0].message.content)
import requests
response = requests.post(
"https://api.tributary.cc/openai/v1/chat/completions",
headers={
"Authorization": "Bearer <TRIBUTARY_API_KEY>",
"Content-Type": "application/json",
},
json={
"model": "qwen:qwen2.5-vl-32b-instruct",
"messages": [
{"role": "user", "content": "Hello!"}
]
}
)
print(response.json()["choices"][0]["message"]["content"])
curl https://api.tributary.cc/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TRIBUTARY_API_KEY" \
-d '{
"model": "qwen:qwen2.5-vl-32b-instruct",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'
