POST /v1beta/models/{model}:batchEmbedContents
curl --request POST \
--url https://api.example.com/v1beta/models/{model}:batchEmbedContents \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"requests": [
{
"content": {
"parts": [
{
"audioTranscription": {
"text": "<string>",
"speakerLabel": "<string>",
"words": [
{
"word": "<string>",
"endOffset": "<string>",
"startOffset": "<string>"
}
]
},
"codeExecutionResult": {
"id": "<string>",
"output": "<string>"
},
"executableCode": {
"code": "<string>",
"id": "<string>"
},
"fileData": {
"fileUri": "<string>",
"displayName": "<string>",
"mimeType": "<string>"
},
"functionCall": {
"name": "<string>",
"args": {},
"id": "<string>"
},
"functionResponse": {
"name": "<string>",
"response": {},
"id": "<string>",
"parts": [
{
"inlineData": {
"data": "<string>",
"mimeType": "<string>",
"displayName": "<string>"
}
}
],
"willContinue": true
},
"inlineData": {
"data": "<string>",
"mimeType": "<string>",
"displayName": "<string>"
},
"mediaResolution": {},
"partMetadata": {},
"speechMetadata": {
"speaker": "<string>",
"style": "<string>"
},
"text": "<string>",
"thought": true,
"thoughtSignature": "<string>",
"toolCall": {
"args": {},
"id": "<string>",
"toolName": "<string>"
},
"toolResponse": {
"id": "<string>",
"response": {}
},
"videoMetadata": {
"endOffset": "<string>",
"fps": 123,
"startOffset": "<string>"
}
}
],
"role": "<string>"
},
"model": "<string>",
"embedContentConfig": {
"audioTrackExtraction": true,
"autoTruncate": true,
"documentOcr": true,
"outputDimensionality": 123,
"title": "<string>"
},
"outputDimensionality": 123,
"title": "<string>"
}
]
}
'import requests
url = "https://api.example.com/v1beta/models/{model}:batchEmbedContents"
payload = { "requests": [
{
"content": {
"parts": [
{
"audioTranscription": {
"text": "<string>",
"speakerLabel": "<string>",
"words": [
{
"word": "<string>",
"endOffset": "<string>",
"startOffset": "<string>"
}
]
},
"codeExecutionResult": {
"id": "<string>",
"output": "<string>"
},
"executableCode": {
"code": "<string>",
"id": "<string>"
},
"fileData": {
"fileUri": "<string>",
"displayName": "<string>",
"mimeType": "<string>"
},
"functionCall": {
"name": "<string>",
"args": {},
"id": "<string>"
},
"functionResponse": {
"name": "<string>",
"response": {},
"id": "<string>",
"parts": [{ "inlineData": {
"data": "<string>",
"mimeType": "<string>",
"displayName": "<string>"
} }],
"willContinue": True
},
"inlineData": {
"data": "<string>",
"mimeType": "<string>",
"displayName": "<string>"
},
"mediaResolution": {},
"partMetadata": {},
"speechMetadata": {
"speaker": "<string>",
"style": "<string>"
},
"text": "<string>",
"thought": True,
"thoughtSignature": "<string>",
"toolCall": {
"args": {},
"id": "<string>",
"toolName": "<string>"
},
"toolResponse": {
"id": "<string>",
"response": {}
},
"videoMetadata": {
"endOffset": "<string>",
"fps": 123,
"startOffset": "<string>"
}
}
],
"role": "<string>"
},
"model": "<string>",
"embedContentConfig": {
"audioTrackExtraction": True,
"autoTruncate": True,
"documentOcr": True,
"outputDimensionality": 123,
"title": "<string>"
},
"outputDimensionality": 123,
"title": "<string>"
}
] }
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({
requests: [
{
content: {
parts: [
{
audioTranscription: {
text: '<string>',
speakerLabel: '<string>',
words: [{word: '<string>', endOffset: '<string>', startOffset: '<string>'}]
},
codeExecutionResult: {id: '<string>', output: '<string>'},
executableCode: {code: '<string>', id: '<string>'},
fileData: {fileUri: '<string>', displayName: '<string>', mimeType: '<string>'},
functionCall: {name: '<string>', args: {}, id: '<string>'},
functionResponse: {
name: '<string>',
response: {},
id: '<string>',
parts: [
{inlineData: {data: '<string>', mimeType: '<string>', displayName: '<string>'}}
],
willContinue: true
},
inlineData: {data: '<string>', mimeType: '<string>', displayName: '<string>'},
mediaResolution: {},
partMetadata: {},
speechMetadata: {speaker: '<string>', style: '<string>'},
text: '<string>',
thought: true,
thoughtSignature: '<string>',
toolCall: {args: {}, id: '<string>', toolName: '<string>'},
toolResponse: {id: '<string>', response: {}},
videoMetadata: {endOffset: '<string>', fps: 123, startOffset: '<string>'}
}
],
role: '<string>'
},
model: '<string>',
embedContentConfig: {
audioTrackExtraction: true,
autoTruncate: true,
documentOcr: true,
outputDimensionality: 123,
title: '<string>'
},
outputDimensionality: 123,
title: '<string>'
}
]
})
};
fetch('https://api.example.com/v1beta/models/{model}:batchEmbedContents', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.example.com/v1beta/models/{model}:batchEmbedContents",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'requests' => [
[
'content' => [
'parts' => [
[
'audioTranscription' => [
'text' => '<string>',
'speakerLabel' => '<string>',
'words' => [
[
'word' => '<string>',
'endOffset' => '<string>',
'startOffset' => '<string>'
]
]
],
'codeExecutionResult' => [
'id' => '<string>',
'output' => '<string>'
],
'executableCode' => [
'code' => '<string>',
'id' => '<string>'
],
'fileData' => [
'fileUri' => '<string>',
'displayName' => '<string>',
'mimeType' => '<string>'
],
'functionCall' => [
'name' => '<string>',
'args' => [
],
'id' => '<string>'
],
'functionResponse' => [
'name' => '<string>',
'response' => [
],
'id' => '<string>',
'parts' => [
[
'inlineData' => [
'data' => '<string>',
'mimeType' => '<string>',
'displayName' => '<string>'
]
]
],
'willContinue' => true
],
'inlineData' => [
'data' => '<string>',
'mimeType' => '<string>',
'displayName' => '<string>'
],
'mediaResolution' => [
],
'partMetadata' => [
],
'speechMetadata' => [
'speaker' => '<string>',
'style' => '<string>'
],
'text' => '<string>',
'thought' => true,
'thoughtSignature' => '<string>',
'toolCall' => [
'args' => [
],
'id' => '<string>',
'toolName' => '<string>'
],
'toolResponse' => [
'id' => '<string>',
'response' => [
]
],
'videoMetadata' => [
'endOffset' => '<string>',
'fps' => 123,
'startOffset' => '<string>'
]
]
],
'role' => '<string>'
],
'model' => '<string>',
'embedContentConfig' => [
'audioTrackExtraction' => true,
'autoTruncate' => true,
'documentOcr' => true,
'outputDimensionality' => 123,
'title' => '<string>'
],
'outputDimensionality' => 123,
'title' => '<string>'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.example.com/v1beta/models/{model}:batchEmbedContents"
payload := strings.NewReader("{\n \"requests\": [\n {\n \"content\": {\n \"parts\": [\n {\n \"audioTranscription\": {\n \"text\": \"<string>\",\n \"speakerLabel\": \"<string>\",\n \"words\": [\n {\n \"word\": \"<string>\",\n \"endOffset\": \"<string>\",\n \"startOffset\": \"<string>\"\n }\n ]\n },\n \"codeExecutionResult\": {\n \"id\": \"<string>\",\n \"output\": \"<string>\"\n },\n \"executableCode\": {\n \"code\": \"<string>\",\n \"id\": \"<string>\"\n },\n \"fileData\": {\n \"fileUri\": \"<string>\",\n \"displayName\": \"<string>\",\n \"mimeType\": \"<string>\"\n },\n \"functionCall\": {\n \"name\": \"<string>\",\n \"args\": {},\n \"id\": \"<string>\"\n },\n \"functionResponse\": {\n \"name\": \"<string>\",\n \"response\": {},\n \"id\": \"<string>\",\n \"parts\": [\n {\n \"inlineData\": {\n \"data\": \"<string>\",\n \"mimeType\": \"<string>\",\n \"displayName\": \"<string>\"\n }\n }\n ],\n \"willContinue\": true\n },\n \"inlineData\": {\n \"data\": \"<string>\",\n \"mimeType\": \"<string>\",\n \"displayName\": \"<string>\"\n },\n \"mediaResolution\": {},\n \"partMetadata\": {},\n \"speechMetadata\": {\n \"speaker\": \"<string>\",\n \"style\": \"<string>\"\n },\n \"text\": \"<string>\",\n \"thought\": true,\n \"thoughtSignature\": \"<string>\",\n \"toolCall\": {\n \"args\": {},\n \"id\": \"<string>\",\n \"toolName\": \"<string>\"\n },\n \"toolResponse\": {\n \"id\": \"<string>\",\n \"response\": {}\n },\n \"videoMetadata\": {\n \"endOffset\": \"<string>\",\n \"fps\": 123,\n \"startOffset\": \"<string>\"\n }\n }\n ],\n \"role\": \"<string>\"\n },\n \"model\": \"<string>\",\n \"embedContentConfig\": {\n \"audioTrackExtraction\": true,\n \"autoTruncate\": true,\n \"documentOcr\": true,\n \"outputDimensionality\": 123,\n \"title\": \"<string>\"\n },\n \"outputDimensionality\": 123,\n \"title\": \"<string>\"\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.example.com/v1beta/models/{model}:batchEmbedContents")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"requests\": [\n {\n \"content\": {\n \"parts\": [\n {\n \"audioTranscription\": {\n \"text\": \"<string>\",\n \"speakerLabel\": \"<string>\",\n \"words\": [\n {\n \"word\": \"<string>\",\n \"endOffset\": \"<string>\",\n \"startOffset\": \"<string>\"\n }\n ]\n },\n \"codeExecutionResult\": {\n \"id\": \"<string>\",\n \"output\": \"<string>\"\n },\n \"executableCode\": {\n \"code\": \"<string>\",\n \"id\": \"<string>\"\n },\n \"fileData\": {\n \"fileUri\": \"<string>\",\n \"displayName\": \"<string>\",\n \"mimeType\": \"<string>\"\n },\n \"functionCall\": {\n \"name\": \"<string>\",\n \"args\": {},\n \"id\": \"<string>\"\n },\n \"functionResponse\": {\n \"name\": \"<string>\",\n \"response\": {},\n \"id\": \"<string>\",\n \"parts\": [\n {\n \"inlineData\": {\n \"data\": \"<string>\",\n \"mimeType\": \"<string>\",\n \"displayName\": \"<string>\"\n }\n }\n ],\n \"willContinue\": true\n },\n \"inlineData\": {\n \"data\": \"<string>\",\n \"mimeType\": \"<string>\",\n \"displayName\": \"<string>\"\n },\n \"mediaResolution\": {},\n \"partMetadata\": {},\n \"speechMetadata\": {\n \"speaker\": \"<string>\",\n \"style\": \"<string>\"\n },\n \"text\": \"<string>\",\n \"thought\": true,\n \"thoughtSignature\": \"<string>\",\n \"toolCall\": {\n \"args\": {},\n \"id\": \"<string>\",\n \"toolName\": \"<string>\"\n },\n \"toolResponse\": {\n \"id\": \"<string>\",\n \"response\": {}\n },\n \"videoMetadata\": {\n \"endOffset\": \"<string>\",\n \"fps\": 123,\n \"startOffset\": \"<string>\"\n }\n }\n ],\n \"role\": \"<string>\"\n },\n \"model\": \"<string>\",\n \"embedContentConfig\": {\n \"audioTrackExtraction\": true,\n \"autoTruncate\": true,\n \"documentOcr\": true,\n \"outputDimensionality\": 123,\n \"title\": \"<string>\"\n },\n \"outputDimensionality\": 123,\n \"title\": \"<string>\"\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/v1beta/models/{model}:batchEmbedContents")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"requests\": [\n {\n \"content\": {\n \"parts\": [\n {\n \"audioTranscription\": {\n \"text\": \"<string>\",\n \"speakerLabel\": \"<string>\",\n \"words\": [\n {\n \"word\": \"<string>\",\n \"endOffset\": \"<string>\",\n \"startOffset\": \"<string>\"\n }\n ]\n },\n \"codeExecutionResult\": {\n \"id\": \"<string>\",\n \"output\": \"<string>\"\n },\n \"executableCode\": {\n \"code\": \"<string>\",\n \"id\": \"<string>\"\n },\n \"fileData\": {\n \"fileUri\": \"<string>\",\n \"displayName\": \"<string>\",\n \"mimeType\": \"<string>\"\n },\n \"functionCall\": {\n \"name\": \"<string>\",\n \"args\": {},\n \"id\": \"<string>\"\n },\n \"functionResponse\": {\n \"name\": \"<string>\",\n \"response\": {},\n \"id\": \"<string>\",\n \"parts\": [\n {\n \"inlineData\": {\n \"data\": \"<string>\",\n \"mimeType\": \"<string>\",\n \"displayName\": \"<string>\"\n }\n }\n ],\n \"willContinue\": true\n },\n \"inlineData\": {\n \"data\": \"<string>\",\n \"mimeType\": \"<string>\",\n \"displayName\": \"<string>\"\n },\n \"mediaResolution\": {},\n \"partMetadata\": {},\n \"speechMetadata\": {\n \"speaker\": \"<string>\",\n \"style\": \"<string>\"\n },\n \"text\": \"<string>\",\n \"thought\": true,\n \"thoughtSignature\": \"<string>\",\n \"toolCall\": {\n \"args\": {},\n \"id\": \"<string>\",\n \"toolName\": \"<string>\"\n },\n \"toolResponse\": {\n \"id\": \"<string>\",\n \"response\": {}\n },\n \"videoMetadata\": {\n \"endOffset\": \"<string>\",\n \"fps\": 123,\n \"startOffset\": \"<string>\"\n }\n }\n ],\n \"role\": \"<string>\"\n },\n \"model\": \"<string>\",\n \"embedContentConfig\": {\n \"audioTrackExtraction\": true,\n \"autoTruncate\": true,\n \"documentOcr\": true,\n \"outputDimensionality\": 123,\n \"title\": \"<string>\"\n },\n \"outputDimensionality\": 123,\n \"title\": \"<string>\"\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"embeddings": [
{
"shape": [
123
],
"values": [
123
]
}
],
"usageMetadata": {
"promptTokenCount": 123,
"promptTokenDetails": [
{
"modality": "MODALITY_UNSPECIFIED",
"tokenCount": 123
}
]
}
}{
"error": {
"code": "<string>",
"message": "<string>"
}
}Forwarding
POST /v1beta/models/{model}:batchEmbedContents
Available at the instance root or under a provider/namespace prefix. Shared paths select the wire dialect from client headers; without dialect evidence, the first listed route wins.
POST
/
v1beta
/
models
/
{model}
:batchEmbedContents
POST /v1beta/models/{model}:batchEmbedContents
curl --request POST \
--url https://api.example.com/v1beta/models/{model}:batchEmbedContents \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"requests": [
{
"content": {
"parts": [
{
"audioTranscription": {
"text": "<string>",
"speakerLabel": "<string>",
"words": [
{
"word": "<string>",
"endOffset": "<string>",
"startOffset": "<string>"
}
]
},
"codeExecutionResult": {
"id": "<string>",
"output": "<string>"
},
"executableCode": {
"code": "<string>",
"id": "<string>"
},
"fileData": {
"fileUri": "<string>",
"displayName": "<string>",
"mimeType": "<string>"
},
"functionCall": {
"name": "<string>",
"args": {},
"id": "<string>"
},
"functionResponse": {
"name": "<string>",
"response": {},
"id": "<string>",
"parts": [
{
"inlineData": {
"data": "<string>",
"mimeType": "<string>",
"displayName": "<string>"
}
}
],
"willContinue": true
},
"inlineData": {
"data": "<string>",
"mimeType": "<string>",
"displayName": "<string>"
},
"mediaResolution": {},
"partMetadata": {},
"speechMetadata": {
"speaker": "<string>",
"style": "<string>"
},
"text": "<string>",
"thought": true,
"thoughtSignature": "<string>",
"toolCall": {
"args": {},
"id": "<string>",
"toolName": "<string>"
},
"toolResponse": {
"id": "<string>",
"response": {}
},
"videoMetadata": {
"endOffset": "<string>",
"fps": 123,
"startOffset": "<string>"
}
}
],
"role": "<string>"
},
"model": "<string>",
"embedContentConfig": {
"audioTrackExtraction": true,
"autoTruncate": true,
"documentOcr": true,
"outputDimensionality": 123,
"title": "<string>"
},
"outputDimensionality": 123,
"title": "<string>"
}
]
}
'import requests
url = "https://api.example.com/v1beta/models/{model}:batchEmbedContents"
payload = { "requests": [
{
"content": {
"parts": [
{
"audioTranscription": {
"text": "<string>",
"speakerLabel": "<string>",
"words": [
{
"word": "<string>",
"endOffset": "<string>",
"startOffset": "<string>"
}
]
},
"codeExecutionResult": {
"id": "<string>",
"output": "<string>"
},
"executableCode": {
"code": "<string>",
"id": "<string>"
},
"fileData": {
"fileUri": "<string>",
"displayName": "<string>",
"mimeType": "<string>"
},
"functionCall": {
"name": "<string>",
"args": {},
"id": "<string>"
},
"functionResponse": {
"name": "<string>",
"response": {},
"id": "<string>",
"parts": [{ "inlineData": {
"data": "<string>",
"mimeType": "<string>",
"displayName": "<string>"
} }],
"willContinue": True
},
"inlineData": {
"data": "<string>",
"mimeType": "<string>",
"displayName": "<string>"
},
"mediaResolution": {},
"partMetadata": {},
"speechMetadata": {
"speaker": "<string>",
"style": "<string>"
},
"text": "<string>",
"thought": True,
"thoughtSignature": "<string>",
"toolCall": {
"args": {},
"id": "<string>",
"toolName": "<string>"
},
"toolResponse": {
"id": "<string>",
"response": {}
},
"videoMetadata": {
"endOffset": "<string>",
"fps": 123,
"startOffset": "<string>"
}
}
],
"role": "<string>"
},
"model": "<string>",
"embedContentConfig": {
"audioTrackExtraction": True,
"autoTruncate": True,
"documentOcr": True,
"outputDimensionality": 123,
"title": "<string>"
},
"outputDimensionality": 123,
"title": "<string>"
}
] }
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({
requests: [
{
content: {
parts: [
{
audioTranscription: {
text: '<string>',
speakerLabel: '<string>',
words: [{word: '<string>', endOffset: '<string>', startOffset: '<string>'}]
},
codeExecutionResult: {id: '<string>', output: '<string>'},
executableCode: {code: '<string>', id: '<string>'},
fileData: {fileUri: '<string>', displayName: '<string>', mimeType: '<string>'},
functionCall: {name: '<string>', args: {}, id: '<string>'},
functionResponse: {
name: '<string>',
response: {},
id: '<string>',
parts: [
{inlineData: {data: '<string>', mimeType: '<string>', displayName: '<string>'}}
],
willContinue: true
},
inlineData: {data: '<string>', mimeType: '<string>', displayName: '<string>'},
mediaResolution: {},
partMetadata: {},
speechMetadata: {speaker: '<string>', style: '<string>'},
text: '<string>',
thought: true,
thoughtSignature: '<string>',
toolCall: {args: {}, id: '<string>', toolName: '<string>'},
toolResponse: {id: '<string>', response: {}},
videoMetadata: {endOffset: '<string>', fps: 123, startOffset: '<string>'}
}
],
role: '<string>'
},
model: '<string>',
embedContentConfig: {
audioTrackExtraction: true,
autoTruncate: true,
documentOcr: true,
outputDimensionality: 123,
title: '<string>'
},
outputDimensionality: 123,
title: '<string>'
}
]
})
};
fetch('https://api.example.com/v1beta/models/{model}:batchEmbedContents', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.example.com/v1beta/models/{model}:batchEmbedContents",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'requests' => [
[
'content' => [
'parts' => [
[
'audioTranscription' => [
'text' => '<string>',
'speakerLabel' => '<string>',
'words' => [
[
'word' => '<string>',
'endOffset' => '<string>',
'startOffset' => '<string>'
]
]
],
'codeExecutionResult' => [
'id' => '<string>',
'output' => '<string>'
],
'executableCode' => [
'code' => '<string>',
'id' => '<string>'
],
'fileData' => [
'fileUri' => '<string>',
'displayName' => '<string>',
'mimeType' => '<string>'
],
'functionCall' => [
'name' => '<string>',
'args' => [
],
'id' => '<string>'
],
'functionResponse' => [
'name' => '<string>',
'response' => [
],
'id' => '<string>',
'parts' => [
[
'inlineData' => [
'data' => '<string>',
'mimeType' => '<string>',
'displayName' => '<string>'
]
]
],
'willContinue' => true
],
'inlineData' => [
'data' => '<string>',
'mimeType' => '<string>',
'displayName' => '<string>'
],
'mediaResolution' => [
],
'partMetadata' => [
],
'speechMetadata' => [
'speaker' => '<string>',
'style' => '<string>'
],
'text' => '<string>',
'thought' => true,
'thoughtSignature' => '<string>',
'toolCall' => [
'args' => [
],
'id' => '<string>',
'toolName' => '<string>'
],
'toolResponse' => [
'id' => '<string>',
'response' => [
]
],
'videoMetadata' => [
'endOffset' => '<string>',
'fps' => 123,
'startOffset' => '<string>'
]
]
],
'role' => '<string>'
],
'model' => '<string>',
'embedContentConfig' => [
'audioTrackExtraction' => true,
'autoTruncate' => true,
'documentOcr' => true,
'outputDimensionality' => 123,
'title' => '<string>'
],
'outputDimensionality' => 123,
'title' => '<string>'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.example.com/v1beta/models/{model}:batchEmbedContents"
payload := strings.NewReader("{\n \"requests\": [\n {\n \"content\": {\n \"parts\": [\n {\n \"audioTranscription\": {\n \"text\": \"<string>\",\n \"speakerLabel\": \"<string>\",\n \"words\": [\n {\n \"word\": \"<string>\",\n \"endOffset\": \"<string>\",\n \"startOffset\": \"<string>\"\n }\n ]\n },\n \"codeExecutionResult\": {\n \"id\": \"<string>\",\n \"output\": \"<string>\"\n },\n \"executableCode\": {\n \"code\": \"<string>\",\n \"id\": \"<string>\"\n },\n \"fileData\": {\n \"fileUri\": \"<string>\",\n \"displayName\": \"<string>\",\n \"mimeType\": \"<string>\"\n },\n \"functionCall\": {\n \"name\": \"<string>\",\n \"args\": {},\n \"id\": \"<string>\"\n },\n \"functionResponse\": {\n \"name\": \"<string>\",\n \"response\": {},\n \"id\": \"<string>\",\n \"parts\": [\n {\n \"inlineData\": {\n \"data\": \"<string>\",\n \"mimeType\": \"<string>\",\n \"displayName\": \"<string>\"\n }\n }\n ],\n \"willContinue\": true\n },\n \"inlineData\": {\n \"data\": \"<string>\",\n \"mimeType\": \"<string>\",\n \"displayName\": \"<string>\"\n },\n \"mediaResolution\": {},\n \"partMetadata\": {},\n \"speechMetadata\": {\n \"speaker\": \"<string>\",\n \"style\": \"<string>\"\n },\n \"text\": \"<string>\",\n \"thought\": true,\n \"thoughtSignature\": \"<string>\",\n \"toolCall\": {\n \"args\": {},\n \"id\": \"<string>\",\n \"toolName\": \"<string>\"\n },\n \"toolResponse\": {\n \"id\": \"<string>\",\n \"response\": {}\n },\n \"videoMetadata\": {\n \"endOffset\": \"<string>\",\n \"fps\": 123,\n \"startOffset\": \"<string>\"\n }\n }\n ],\n \"role\": \"<string>\"\n },\n \"model\": \"<string>\",\n \"embedContentConfig\": {\n \"audioTrackExtraction\": true,\n \"autoTruncate\": true,\n \"documentOcr\": true,\n \"outputDimensionality\": 123,\n \"title\": \"<string>\"\n },\n \"outputDimensionality\": 123,\n \"title\": \"<string>\"\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.example.com/v1beta/models/{model}:batchEmbedContents")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"requests\": [\n {\n \"content\": {\n \"parts\": [\n {\n \"audioTranscription\": {\n \"text\": \"<string>\",\n \"speakerLabel\": \"<string>\",\n \"words\": [\n {\n \"word\": \"<string>\",\n \"endOffset\": \"<string>\",\n \"startOffset\": \"<string>\"\n }\n ]\n },\n \"codeExecutionResult\": {\n \"id\": \"<string>\",\n \"output\": \"<string>\"\n },\n \"executableCode\": {\n \"code\": \"<string>\",\n \"id\": \"<string>\"\n },\n \"fileData\": {\n \"fileUri\": \"<string>\",\n \"displayName\": \"<string>\",\n \"mimeType\": \"<string>\"\n },\n \"functionCall\": {\n \"name\": \"<string>\",\n \"args\": {},\n \"id\": \"<string>\"\n },\n \"functionResponse\": {\n \"name\": \"<string>\",\n \"response\": {},\n \"id\": \"<string>\",\n \"parts\": [\n {\n \"inlineData\": {\n \"data\": \"<string>\",\n \"mimeType\": \"<string>\",\n \"displayName\": \"<string>\"\n }\n }\n ],\n \"willContinue\": true\n },\n \"inlineData\": {\n \"data\": \"<string>\",\n \"mimeType\": \"<string>\",\n \"displayName\": \"<string>\"\n },\n \"mediaResolution\": {},\n \"partMetadata\": {},\n \"speechMetadata\": {\n \"speaker\": \"<string>\",\n \"style\": \"<string>\"\n },\n \"text\": \"<string>\",\n \"thought\": true,\n \"thoughtSignature\": \"<string>\",\n \"toolCall\": {\n \"args\": {},\n \"id\": \"<string>\",\n \"toolName\": \"<string>\"\n },\n \"toolResponse\": {\n \"id\": \"<string>\",\n \"response\": {}\n },\n \"videoMetadata\": {\n \"endOffset\": \"<string>\",\n \"fps\": 123,\n \"startOffset\": \"<string>\"\n }\n }\n ],\n \"role\": \"<string>\"\n },\n \"model\": \"<string>\",\n \"embedContentConfig\": {\n \"audioTrackExtraction\": true,\n \"autoTruncate\": true,\n \"documentOcr\": true,\n \"outputDimensionality\": 123,\n \"title\": \"<string>\"\n },\n \"outputDimensionality\": 123,\n \"title\": \"<string>\"\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/v1beta/models/{model}:batchEmbedContents")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"requests\": [\n {\n \"content\": {\n \"parts\": [\n {\n \"audioTranscription\": {\n \"text\": \"<string>\",\n \"speakerLabel\": \"<string>\",\n \"words\": [\n {\n \"word\": \"<string>\",\n \"endOffset\": \"<string>\",\n \"startOffset\": \"<string>\"\n }\n ]\n },\n \"codeExecutionResult\": {\n \"id\": \"<string>\",\n \"output\": \"<string>\"\n },\n \"executableCode\": {\n \"code\": \"<string>\",\n \"id\": \"<string>\"\n },\n \"fileData\": {\n \"fileUri\": \"<string>\",\n \"displayName\": \"<string>\",\n \"mimeType\": \"<string>\"\n },\n \"functionCall\": {\n \"name\": \"<string>\",\n \"args\": {},\n \"id\": \"<string>\"\n },\n \"functionResponse\": {\n \"name\": \"<string>\",\n \"response\": {},\n \"id\": \"<string>\",\n \"parts\": [\n {\n \"inlineData\": {\n \"data\": \"<string>\",\n \"mimeType\": \"<string>\",\n \"displayName\": \"<string>\"\n }\n }\n ],\n \"willContinue\": true\n },\n \"inlineData\": {\n \"data\": \"<string>\",\n \"mimeType\": \"<string>\",\n \"displayName\": \"<string>\"\n },\n \"mediaResolution\": {},\n \"partMetadata\": {},\n \"speechMetadata\": {\n \"speaker\": \"<string>\",\n \"style\": \"<string>\"\n },\n \"text\": \"<string>\",\n \"thought\": true,\n \"thoughtSignature\": \"<string>\",\n \"toolCall\": {\n \"args\": {},\n \"id\": \"<string>\",\n \"toolName\": \"<string>\"\n },\n \"toolResponse\": {\n \"id\": \"<string>\",\n \"response\": {}\n },\n \"videoMetadata\": {\n \"endOffset\": \"<string>\",\n \"fps\": 123,\n \"startOffset\": \"<string>\"\n }\n }\n ],\n \"role\": \"<string>\"\n },\n \"model\": \"<string>\",\n \"embedContentConfig\": {\n \"audioTrackExtraction\": true,\n \"autoTruncate\": true,\n \"documentOcr\": true,\n \"outputDimensionality\": 123,\n \"title\": \"<string>\"\n },\n \"outputDimensionality\": 123,\n \"title\": \"<string>\"\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"embeddings": [
{
"shape": [
123
],
"values": [
123
]
}
],
"usageMetadata": {
"promptTokenCount": 123,
"promptTokenDetails": [
{
"modality": "MODALITY_UNSPECIFIED",
"tokenCount": 123
}
]
}
}{
"error": {
"code": "<string>",
"message": "<string>"
}
}授权
beareranthropicKeygoogleKeyqueryKey
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
路径参数
请求体
application/json
Show child attributes
Show child attributes