Code Examples
Copy-paste ready examples for Python, Node.js, and cURL.
cURL
Basic Chat
curl https://cnaitoken.store/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-your-api-key" \
-d '{
"model": "deepseek-chat",
"messages": [
{"role": "user", "content": "Translate hello to Chinese"}
]
}'
With System Prompt
curl https://cnaitoken.store/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-your-api-key" \
-d '{
"model": "deepseek-chat",
"messages": [
{"role": "system", "content": "You are a translator. Output only the translation."},
{"role": "user", "content": "Hello world"}
],
"max_tokens": 100
}'
Python
Install
Basic Chat
from openai import OpenAI
client = OpenAI(
api_key="sk-your-api-key",
base_url="https://cnaitoken.store/v1"
)
response = client.chat.completions.create(
model="deepseek-chat",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)
Streaming
from openai import OpenAI
client = OpenAI(
api_key="sk-your-api-key",
base_url="https://cnaitoken.store/v1"
)
stream = client.chat.completions.create(
model="deepseek-chat",
messages=[{"role": "user", "content": "Count from 1 to 5."}],
stream=True
)
for chunk in stream:
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="")
Multi-turn Conversation
from openai import OpenAI
client = OpenAI(
api_key="sk-your-api-key",
base_url="https://cnaitoken.store/v1"
)
messages = [
{"role": "user", "content": "My name is Alice."}
]
response = client.chat.completions.create(
model="deepseek-chat",
messages=messages
)
messages.append({"role": "assistant", "content": response.choices[0].message.content})
messages.append({"role": "user", "content": "What is my name?"})
response = client.chat.completions.create(
model="deepseek-chat",
messages=messages
)
print(response.choices[0].message.content) # "Your name is Alice."
Node.js
Install
Basic Chat
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env.CNAITOKEN_API_KEY || 'sk-your-api-key',
baseURL: 'https://cnaitoken.store/v1',
});
const response = await client.chat.completions.create({
model: 'deepseek-chat',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0].message.content);
Streaming
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'sk-your-api-key',
baseURL: 'https://cnaitoken.store/v1',
});
const stream = await client.chat.completions.create({
model: 'deepseek-chat',
messages: [{ role: 'user', content: 'Count from 1 to 5.' }],
stream: true,
});
for await (const chunk of stream) {
const content = chunk.choices[0]?.delta?.content;
if (content) process.stdout.write(content);
}
Using Environment Variable
// .env
// CNAITOKEN_API_KEY=sk-your-api-key
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env.CNAITOKEN_API_KEY,
baseURL: 'https://cnaitoken.store/v1',
});
Error Handling
Python
from openai import OpenAI, APIError
client = OpenAI(api_key="sk-your-api-key", base_url="https://cnaitoken.store/v1")
try:
response = client.chat.completions.create(
model="deepseek-chat",
messages=[{"role": "user", "content": "Hi"}]
)
print(response.choices[0].message.content)
except APIError as e:
if e.status_code == 402:
print("Insufficient quota. Recharge at https://cnaitoken.store/topup")
else:
print(f"Error: {e}")