curl -N -X POST https://zx1.deepwl.net/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4o",
"messages": [
{ "role": "system", "content": "你是一个简洁的技术助手。" },
{ "role": "user", "content": "用三点说明 API 网关的作用。" }
],
"stream": true,
"stream_options": {
"include_usage": true
}
}'
data: {"id":"chatcmpl_abc123","object":"chat.completion.chunk","created":1735689600,"model":"gpt-4o","choices":[{"index":0,"delta":{"role":"assistant","content":"API"},"finish_reason":null}]}
data: {"id":"chatcmpl_abc123","object":"chat.completion.chunk","created":1735689600,"model":"gpt-4o","choices":[{"index":0,"delta":{"content":" 网关"},"finish_reason":null}]}
data: {"id":"chatcmpl_abc123","object":"chat.completion.chunk","created":1735689600,"model":"gpt-4o","choices":[{"index":0,"delta":{},"finish_reason":"stop"}],"usage":{"prompt_tokens":26,"completion_tokens":38,"total_tokens":64}}
data: [DONE]
{
"error": {
"message": "field model is required",
"type": "invalid_request_error",
"param": "",
"code": "invalid_request"
}
}
{
"error": {
"message": "Invalid API key provided",
"type": "invalid_request_error",
"param": "",
"code": "invalid_api_key"
}
}
{
"error": {
"message": "用户额度不足",
"type": "new_api_error",
"param": "",
"code": "insufficient_user_quota"
}
}
{
"error": {
"message": "当前请求频率过高，请稍后再试",
"type": "new_api_error",
"param": "",
"code": "too_many_requests"
}
}
{
"error": {
"message": "bad response body",
"type": "new_api_error",
"param": "",
"code": "bad_response_body"
}
}
OpenAI 格式
通用对话接口（默认流式）
使用 OpenAI Chat Completions 兼容格式发起对话，并以 SSE 流式返回模型输出。
POST
https://zx1.deepwl.net
/
v1
/
chat
/
completions
curl -N -X POST https://zx1.deepwl.net/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4o",
"messages": [
{ "role": "system", "content": "你是一个简洁的技术助手。" },
{ "role": "user", "content": "用三点说明 API 网关的作用。" }
],
"stream": true,
"stream_options": {
"include_usage": true
}
}'
data: {"id":"chatcmpl_abc123","object":"chat.completion.chunk","created":1735689600,"model":"gpt-4o","choices":[{"index":0,"delta":{"role":"assistant","content":"API"},"finish_reason":null}]}
data: {"id":"chatcmpl_abc123","object":"chat.completion.chunk","created":1735689600,"model":"gpt-4o","choices":[{"index":0,"delta":{"content":" 网关"},"finish_reason":null}]}
data: {"id":"chatcmpl_abc123","object":"chat.completion.chunk","created":1735689600,"model":"gpt-4o","choices":[{"index":0,"delta":{},"finish_reason":"stop"}],"usage":{"prompt_tokens":26,"completion_tokens":38,"total_tokens":64}}
data: [DONE]
{
"error": {
"message": "field model is required",
"type": "invalid_request_error",
"param": "",
"code": "invalid_request"
}
}
{
"error": {
"message": "Invalid API key provided",
"type": "invalid_request_error",
"param": "",
"code": "invalid_api_key"
}
}
{
"error": {
"message": "用户额度不足",
"type": "new_api_error",
"param": "",
"code": "insufficient_user_quota"
}
}
{
"error": {
"message": "当前请求频率过高，请稍后再试",
"type": "new_api_error",
"param": "",
"code": "too_many_requests"
}
}
{
"error": {
"message": "bad response body",
"type": "new_api_error",
"param": "",
"code": "bad_response_body"
}
}
通用对话接口（默认流式）
使用统一对话格式调用 OpenAI、Claude、Gemini、DeepSeek、Qwen 等上游模型。本文档以流式输出为默认写法，适合需要边生成边展示的聊天、Agent 和长文本生成场景。本项目路由中
stream 未传时按非流式处理。若希望固定获得流式响应，请显式传入 "stream": true。请求体
array<object>
必填
按时间顺序排列的对话消息。常见角色为
system、user、assistant、tool。string | array
必填
消息内容。字符串表示纯文本；数组表示多模态内容，支持
text、image_url、input_audio、file、video_url。boolean
必填
设为
true 后响应为 text/event-stream，每个片段以 data: 推送，结束时返回 data: [DONE]。boolean
在流式最后一条消息中携带 token 用量统计。仅部分上游模型支持。
integer
限制最大生成 token 数。部分推理模型建议改用
max_completion_tokens。integer
限制最大补全 token 数，包含推理 token。适合支持 reasoning 的模型。
number
采样温度，常用范围
0 到 2。较低值更稳定，较高值更多样。number
核采样参数，常用范围
0 到 1。通常不建议同时大幅调整 temperature 和 top_p。array<object>
函数调用工具列表，格式兼容 OpenAI
tools。string | object
控制模型是否调用工具。常见值为
auto、none、required，也可指定某个函数。object
指定输出格式，例如
{ "type": "json_object" } 或 json_schema。string
推理强度。常见值为
low、medium、high，是否生效取决于模型。请求示例
curl -N -X POST https://zx1.deepwl.net/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4o",
"messages": [
{ "role": "system", "content": "你是一个简洁的技术助手。" },
{ "role": "user", "content": "用三点说明 API 网关的作用。" }
],
"stream": true,
"stream_options": {
"include_usage": true
}
}'
多模态流式
curl -N -X POST https://zx1.deepwl.net/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": [
{ "type": "text", "text": "概括这张图表的主要结论。" },
{ "type": "image_url", "image_url": { "url": "https://.../chart.png", "detail": "high" } }
]
}
],
"stream": true
}'
响应示例
data: {"id":"chatcmpl_abc123","object":"chat.completion.chunk","created":1735689600,"model":"gpt-4o","choices":[{"index":0,"delta":{"role":"assistant","content":"API"},"finish_reason":null}]}
data: {"id":"chatcmpl_abc123","object":"chat.completion.chunk","created":1735689600,"model":"gpt-4o","choices":[{"index":0,"delta":{"content":" 网关"},"finish_reason":null}]}
data: {"id":"chatcmpl_abc123","object":"chat.completion.chunk","created":1735689600,"model":"gpt-4o","choices":[{"index":0,"delta":{},"finish_reason":"stop"}],"usage":{"prompt_tokens":26,"completion_tokens":38,"total_tokens":64}}
data: [DONE]
{
"error": {
"message": "field model is required",
"type": "invalid_request_error",
"param": "",
"code": "invalid_request"
}
}
{
"error": {
"message": "Invalid API key provided",
"type": "invalid_request_error",
"param": "",
"code": "invalid_api_key"
}
}
{
"error": {
"message": "用户额度不足",
"type": "new_api_error",
"param": "",
"code": "insufficient_user_quota"
}
}
{
"error": {
"message": "当前请求频率过高，请稍后再试",
"type": "new_api_error",
"param": "",
"code": "too_many_requests"
}
}
{
"error": {
"message": "bad response body",
"type": "new_api_error",
"param": "",
"code": "bad_response_body"
}
}
响应字段
string
本次生成的响应 ID。
string
流式响应固定为
chat.completion.chunk。object
增量内容。可能包含
role、content、reasoning_content 或 tool_calls。string
结束原因，常见值为
stop、length、tool_calls。object
用量统计。只有上游返回用量且启用
stream_options.include_usage 时才一定出现。