Migrate the OpenAI SDK in one line
9Coding implements the OpenAI interface specification, so existing code needs exactly two parameters changed: base_url and the key. After that, switching models is just a different string — Claude, GPT and Gemini all answer on the same call.
Python
main.py
from openai import OpenAI
client = OpenAI(
base_url="https://api.9coding.com/v1", # this line is the whole migration
api_key="sk-9c-your-key"
)
resp = client.chat.completions.create(
model="claude-fable-5", # swap for gpt-5.6, gemini-3.5-flash, …
messages=[{"role": "user", "content": "ping"}]
)
print(resp.choices[0].message.content)Node.js
main.mjs
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.9coding.com/v1", // this line is the whole migration
apiKey: "sk-9c-your-key",
});
const resp = await client.chat.completions.create({
model: "claude-fable-5",
messages: [{ role: "user", content: "ping" }],
});
console.log(resp.choices[0].message.content);curl
terminal
curl https://api.9coding.com/v1/chat/completions \
-H "Authorization: Bearer sk-9c-your-key" \
-H "Content-Type: application/json" \
-d '{"model":"claude-fable-5","messages":[{"role":"user","content":"ping"}]}'Streaming works unchanged:
stream=True over SSE is fully supported, and it's the better choice for long tasks. If you use the native Anthropic SDK instead, point its base URL at https://api.9coding.com.Troubleshooting
- 401 — wrong or truncated key; it should start with
sk-9c-. - Model names — identical to the official names. The available list is in the console.
- Where to see usage — the Logs page in the console shows the model, tokens and charge for every call.