对话补全
POST /v1/chat/completions —— 最常用的文本对话接口,兼容 OpenAI Chat Completions 格式。
请求示例
bash
curl https://api.novaapis.com/v1/chat/completions \
-H "Authorization: Bearer $NOVA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.5",
"messages": [
{ "role": "system", "content": "你是一个乐于助人的助手。" },
{ "role": "user", "content": "用一句话介绍 NovaAPI" }
]
}'python
from openai import OpenAI
client = OpenAI(api_key="YOUR_API_KEY", base_url="https://api.novaapis.com/v1")
resp = client.chat.completions.create(
model="gpt-5.5",
messages=[
{"role": "system", "content": "你是一个乐于助人的助手。"},
{"role": "user", "content": "用一句话介绍 NovaAPI"},
],
)
print(resp.choices[0].message.content)javascript
import OpenAI from 'openai'
const client = new OpenAI({
apiKey: process.env.NOVA_API_KEY,
baseURL: 'https://api.novaapis.com/v1',
})
const resp = await client.chat.completions.create({
model: 'gpt-5.5',
messages: [
{ role: 'system', content: '你是一个乐于助人的助手。' },
{ role: 'user', content: '用一句话介绍 NovaAPI' },
],
})
console.log(resp.choices[0].message.content)常用参数
| 参数 | 类型 | 说明 |
|---|---|---|
model | string | 模型名称,见模型列表 |
messages | array | 对话消息数组 |
stream | boolean | 是否流式返回,默认 false |
temperature | number | 采样温度,0~2 |
max_tokens | number | 最大生成 token 数 |
流式返回
设置 "stream": true,服务端以 SSE 分块推送内容:
bash
curl https://api.novaapis.com/v1/chat/completions \
-H "Authorization: Bearer $NOVA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.5",
"messages": [{ "role": "user", "content": "讲个笑话" }],
"stream": true
}'python
from openai import OpenAI
client = OpenAI(api_key="...", base_url="https://api.novaapis.com/v1")
stream = client.chat.completions.create(
model="gpt-5.5",
messages=[{"role": "user", "content": "讲个笑话"}],
stream=True,
)
for chunk in stream:
if chunk.choices:
print(chunk.choices[0].delta.content or "", end="")javascript
import OpenAI from 'openai'
const client = new OpenAI({
apiKey: process.env.NOVA_API_KEY,
baseURL: 'https://api.novaapis.com/v1',
})
const stream = await client.chat.completions.create({
model: 'gpt-5.5',
messages: [{ role: 'user', content: '讲个笑话' }],
stream: true,
})
for await (const chunk of stream) {
process.stdout.write(chunk.choices[0]?.delta?.content || '')
}