OpenAI 兼容的 AI 聊天 API 服务 • 支持 10+ 模型 • 无需认证 • 基于 Manus 免费 API
API 地址
https://manuschat-va6rmpup.manus.spaceAPI Key
manus-free-api-key-no-auth-required💡 提示：复制上面的 API 地址和 API Key，然后在下面的示例代码中使用它们
聊天完成端点
POST https://manuschat-va6rmpup.manus.space/v1/chat/completions获取模型列表端点
GET https://manuschat-va6rmpup.manus.space/v1/modelscURL
curl -X POST https://manuschat-va6rmpup.manus.space/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer manus-free-api-key-no-auth-required" \
-d '{"model":"gemini-2.5-flash","messages":[{"role":"user","content":"你好，请介绍一下你自己"}]}'Python (使用 OpenAI SDK)
from openai import OpenAI
client = OpenAI(
api_key="manus-free-api-key-no-auth-required",
base_url="https://manuschat-va6rmpup.manus.space"
)
response = client.chat.completions.create(
model="gemini-2.5-flash",
messages=[
{"role": "user", "content": "你好"}
]
)
print(response.choices[0].message.content)JavaScript (使用 OpenAI SDK)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: "manus-free-api-key-no-auth-required",
baseURL: "https://manuschat-va6rmpup.manus.space",
dangerouslyAllowBrowser: true
});
const response = await client.chat.completions.create({
model: "gemini-2.5-flash",
messages: [
{ role: "user", content: "你好" }
]
});
console.log(response.choices[0].message.content);JSON 请求体
{
"model": "gemini-2.5-flash",
"messages": [
{
"role": "user",
"content": "你好，请介绍一下你自己"
}
]
}model (必需)
要使用的模型名称，必须是上面列出的模型之一
类型: string | 示例: "gemini-2.5-flash"
messages (必需)
消息数组，包含对话历史。每条消息必须包含 role 和 content
类型: Array<{role: 'user'|'assistant'|'system', content: string}>
temperature (可选)
控制输出的随机性，范围 0-2，默认 1
类型: number | 默认值: 1
max_tokens (可选)
生成的最大 token 数，默认 32768
类型: number | 默认值: 32768
{
"id": "chatcmpl-1234567890",
"object": "chat.completion",
"created": 1699000000,
"model": "gemini-2.5-flash",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "你好！我是一个 AI 助手，由 Manus 提供支持。"
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 10,
"completion_tokens": 20,
"total_tokens": 30
}
}