4.2 KiB
4.2 KiB
Model Settings 接口文档
接口列表
1. 获取模型列表
接口地址: GET /model/list
返回参数:
{
"list": [
{
"id": "xxx-xxx-xxx",
"name": "OpenAI",
"model_type": "chat",
"provider": "OpenAI",
"model": "gpt-4o",
"api_key": "sk-xxx",
"base_url": "https://api.openai.com",
"api_endpoint": "/v1/chat/completions",
"status": "active",
"created_at": "2024-01-01T00:00:00Z",
"updated_at": "2024-01-01T00:00:00Z"
}
]
}
2. 获取模型详情
接口地址: GET /model/:id
返回参数:
{
"id": "xxx-xxx-xxx",
"name": "OpenAI",
"model_type": "chat",
"provider": "OpenAI",
"model": "gpt-4o",
"api_key": "sk-xxx",
"base_url": "https://api.openai.com",
"api_endpoint": "/v1/chat/completions",
"status": "active",
"created_at": "2024-01-01T00:00:00Z",
"updated_at": "2024-01-01T00:00:00Z"
}
3. 创建模型
接口地址: POST /model/add
请求参数:
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
| name | string | 是 | 模型名称 |
| model_type | string | 是 | 模型类型:chat/embedding/rerank/vlm |
| provider | string | 是 | 提供商:OpenAI/Ollama |
| model | string | 是 | 模型标识,如 gpt-4o |
| api_key | string | 是 | API 密钥 |
| base_url | string | 是 | 基础 URL |
| api_endpoint | string | 否 | API 端点路径 |
请求示例:
{
"name": "OpenAI",
"model_type": "chat",
"provider": "OpenAI",
"model": "gpt-4o",
"api_key": "sk-xxx",
"base_url": "https://api.openai.com",
"api_endpoint": "/v1/chat/completions"
}
返回参数:
{
"id": "xxx-xxx-xxx",
"name": "OpenAI",
"model_type": "chat",
"provider": "OpenAI",
"model": "gpt-4o",
"api_key": "sk-xxx",
"base_url": "https://api.openai.com",
"api_endpoint": "/v1/chat/completions",
"status": "active",
"created_at": "2024-01-01T00:00:00Z",
"updated_at": "2024-01-01T00:00:00Z"
}
4. 更新模型
接口地址: PUT /model/:id
请求参数:
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
| name | string | 否 | 模型名称 |
| model_type | string | 否 | 模型类型:chat/embedding/rerank/vlm |
| provider | string | 否 | 提供商:OpenAI/Ollama |
| model | string | 否 | 模型标识 |
| api_key | string | 否 | API 密钥 |
| base_url | string | 否 | 基础 URL |
| api_endpoint | string | 否 | API 端点路径 |
| status | string | 否 | 状态:active/inactive |
请求示例:
{
"name": "OpenAI Updated",
"model_type": "chat",
"provider": "OpenAI",
"model": "gpt-4o",
"api_key": "sk-xxx",
"base_url": "https://api.openai.com",
"api_endpoint": "/v1/chat/completions",
"status": "active"
}
5. 删除模型
接口地址: DELETE /model/:id
返回参数:
{
"success": true
}
6. 测试连接
接口地址: POST /model/test
请求参数:
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
| provider | string | 是 | 提供商:OpenAI/Ollama |
| model | string | 是 | 模型标识 |
| api_key | string | 是 | API 密钥 |
| base_url | string | 是 | 基础 URL |
| api_endpoint | string | 否 | API 端点路径 |
请求示例:
{
"provider": "OpenAI",
"model": "gpt-4o",
"api_key": "sk-xxx",
"base_url": "https://api.openai.com",
"api_endpoint": "/v1/chat/completions"
}
返回参数:
{
"success": true,
"message": "Connection successful"
}
或失败时:
{
"success": false,
"message": "HTTP 401: Unauthorized"
}
数据结构
ModelInfo 模型信息
| 字段 | 类型 | 说明 |
|---|---|---|
| id | string | 主键 UUID |
| name | string | 模型名称 |
| model_type | string | 模型类型:chat/embedding/rerank/vlm |
| provider | string | 提供商:OpenAI/Ollama |
| model | string | 模型标识 |
| api_key | string | API 密钥 |
| base_url | string | 基础 URL |
| api_endpoint | string | API 端点路径 |
| status | string | 状态:active/inactive |
| created_at | datetime | 创建时间 |
| updated_at | datetime | 更新时间 |