Generate content (Gemini)
curl --request POST \
--url https://api.dgrid.ai/v1/models/{model}:generateContent \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"contents": [
{
"role": "user",
"parts": [
{
"text": "Hello from DGrid."
}
]
}
]
}
'import requests
url = "https://api.dgrid.ai/v1/models/{model}:generateContent"
payload = { "contents": [
{
"role": "user",
"parts": [{ "text": "Hello from DGrid." }]
}
] }
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({contents: [{role: 'user', parts: [{text: 'Hello from DGrid.'}]}]})
};
fetch('https://api.dgrid.ai/v1/models/{model}:generateContent', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.dgrid.ai/v1/models/{model}:generateContent"
payload := strings.NewReader("{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"Hello from DGrid.\"\n }\n ]\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.dgrid.ai/v1/models/{model}:generateContent")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"Hello from DGrid.\"\n }\n ]\n }\n ]\n}")
.asString();{
"candidates": [
{
"content": {
"role": "<string>",
"parts": [
{}
]
},
"finishReason": "<string>",
"safetyRatings": [
{}
]
}
],
"usageMetadata": {
"promptTokenCount": 123,
"candidatesTokenCount": 123,
"totalTokenCount": 123
}
}{
"error": {
"message": "<string>",
"type": "<string>",
"param": "<string>",
"code": "<string>"
}
}對話
生成內容
Gemini-native generateContent interface for text chat, multimodal media recognition (images, audio, video), speech synthesis, and image generation with structured parts. Use generationConfig to request specific response modalities such as speech (speechConfig) or images (imageConfig).
POST
/
v1
/
models
/
{model}
:generateContent
Generate content (Gemini)
curl --request POST \
--url https://api.dgrid.ai/v1/models/{model}:generateContent \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"contents": [
{
"role": "user",
"parts": [
{
"text": "Hello from DGrid."
}
]
}
]
}
'import requests
url = "https://api.dgrid.ai/v1/models/{model}:generateContent"
payload = { "contents": [
{
"role": "user",
"parts": [{ "text": "Hello from DGrid." }]
}
] }
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({contents: [{role: 'user', parts: [{text: 'Hello from DGrid.'}]}]})
};
fetch('https://api.dgrid.ai/v1/models/{model}:generateContent', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.dgrid.ai/v1/models/{model}:generateContent"
payload := strings.NewReader("{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"Hello from DGrid.\"\n }\n ]\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.dgrid.ai/v1/models/{model}:generateContent")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"Hello from DGrid.\"\n }\n ]\n }\n ]\n}")
.asString();{
"candidates": [
{
"content": {
"role": "<string>",
"parts": [
{}
]
},
"finishReason": "<string>",
"safetyRatings": [
{}
]
}
],
"usageMetadata": {
"promptTokenCount": 123,
"candidatesTokenCount": 123,
"totalTokenCount": 123
}
}{
"error": {
"message": "<string>",
"type": "<string>",
"param": "<string>",
"code": "<string>"
}
}授權
Your DGrid API key. All endpoints use Authorization: Bearer <DGRID_API_KEY>.
路徑參數
Target model ID, such as gemini-1.5-pro.
主體
application/json
⌘I

