流式生成内容
curl --request POST \
--url https://api.pipellm.ai/v1beta/models/{model}:streamGenerateContent \
--header 'Authorization: Bearer <token>'import requests
url = "https://api.pipellm.ai/v1beta/models/{model}:streamGenerateContent"
headers = {"Authorization": "Bearer <token>"}
response = requests.post(url, headers=headers)
print(response.text)const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};
fetch('https://api.pipellm.ai/v1beta/models/{model}:streamGenerateContent', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.pipellm.ai/v1beta/models/{model}:streamGenerateContent"
req, _ := http.NewRequest("POST", url, nil)
req.Header.Add("Authorization", "Bearer <token>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}流式生成内容
以 SSE 流式返回 Gemini generateContent 输出。
POST
/
v1beta
/
models
/
{model}
:streamGenerateContent
流式生成内容
curl --request POST \
--url https://api.pipellm.ai/v1beta/models/{model}:streamGenerateContent \
--header 'Authorization: Bearer <token>'import requests
url = "https://api.pipellm.ai/v1beta/models/{model}:streamGenerateContent"
headers = {"Authorization": "Bearer <token>"}
response = requests.post(url, headers=headers)
print(response.text)const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};
fetch('https://api.pipellm.ai/v1beta/models/{model}:streamGenerateContent', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.pipellm.ai/v1beta/models/{model}:streamGenerateContent"
req, _ := http.NewRequest("POST", url, nil)
req.Header.Add("Authorization", "Bearer <token>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}请求体与 生成内容 相同,响应改为 SSE 流。
使用
string
必填
Gemini 模型 ID,例如
gemini-3-flash-preview。curl "https://api.pipellm.ai/v1beta/models/gemini-3-flash-preview:streamGenerateContent" \
-H "Content-Type: application/json" \
-H "x-goog-api-key: $PIPELLM_API_KEY" \
-N \
-d '{
"contents": [
{
"role": "user",
"parts": [{"text": "从 1 数到 5。"}]
}
]
}'
x-goog-api-key: $PIPELLM_API_KEY。原生 Gemini 路由只会打到 Gemini 平台。要保留 Gemini 格式去调用 OpenAI 或 Anthropic,使用 Gemini converter。此页面对您有帮助吗?