Qwen api keys Documentation and Quickstart

Authentication: Using your qwen API keys

Use your key as a bearer token in the Authorization header. The key appears instantly after signup via Google or email.

• Header: Authorization: Bearer YOUR_API_KEY
• One active key per account; a new key replaces the old one.

Base URL and Endpoint structure

Direct your requests to our single chat-completions endpoint. No embeddings or image generation endpoints exist here.

• Base URL: https://api.qwenapikeys.com/v1
• Endpoint: POST /v1/chat/completions
• Models: GET /v1/models returns "uncensored".

Sending requests: chat completions

Send a POST request with your system and user messages. The model answers without content refusals for lawful adult use.

Streaming responses and token usage

Enable streaming to receive tokens in real-time. Token usage appears in the final chunk of the stream.

Parameters: Temperature, Top P, and Seed

Control randomness with standard parameters. Set temperature, top_p, and seed to adjust output variability.

JSON Mode and Function Calling

Enforce structured output or enable tools. Use response_format: {"type": "json_object"} for strict JSON.

cURL

Copycurl https://api.qwenapikeys.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "list all python libraries for data analysis"}]
  }'

Python

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.qwenapikeys.com/v1", api_key="YOUR_KEY")

resp = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Summarise this thread without softening it."}],
)
print(resp.choices[0].message.content)

Node.js

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.qwenapikeys.com/v1", apiKey: process.env.API_KEY });

const resp = await client.chat.completions.create({
  model: "uncensored",
  messages: [{ role: "user", content: "Draft a villain monologue for my game." }],
});
console.log(resp.choices[0].message.content);

Streaming

Copystream = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Tell the story in second person."}],
    stream=True,
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)