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POST
https://api.aisa.one/v1beta
/
models
/
{model}
:generateContent
Generate content using a Gemini-compatible AIsa model
curl --request POST \
  --url https://api.aisa.one/v1beta/models/{model}:generateContent \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "contents": [
    {
      "parts": [
        {
          "text": "<string>",
          "inline_data": {},
          "thoughtSignature": "<string>"
        }
      ]
    }
  ],
  "tools": [
    {}
  ],
  "toolConfig": {},
  "safetySettings": [
    {}
  ],
  "systemInstruction": {
    "parts": [
      {
        "text": "<string>",
        "inline_data": {},
        "thoughtSignature": "<string>"
      }
    ]
  },
  "generationConfig": {},
  "cachedContent": "<string>"
}
'
import requests

url = "https://api.aisa.one/v1beta/models/{model}:generateContent"

payload = {
"contents": [{ "parts": [
{
"text": "<string>",
"inline_data": {},
"thoughtSignature": "<string>"
}
] }],
"tools": [{}],
"toolConfig": {},
"safetySettings": [{}],
"systemInstruction": { "parts": [
{
"text": "<string>",
"inline_data": {},
"thoughtSignature": "<string>"
}
] },
"generationConfig": {},
"cachedContent": "<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({
contents: [{parts: [{text: '<string>', inline_data: {}, thoughtSignature: '<string>'}]}],
tools: [{}],
toolConfig: {},
safetySettings: [{}],
systemInstruction: {parts: [{text: '<string>', inline_data: {}, thoughtSignature: '<string>'}]},
generationConfig: {},
cachedContent: '<string>'
})
};

fetch('https://api.aisa.one/v1beta/models/{model}:generateContent', 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.aisa.one/v1beta/models/{model}:generateContent",
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([
'contents' => [
[
'parts' => [
[
'text' => '<string>',
'inline_data' => [

],
'thoughtSignature' => '<string>'
]
]
]
],
'tools' => [
[

]
],
'toolConfig' => [

],
'safetySettings' => [
[

]
],
'systemInstruction' => [
'parts' => [
[
'text' => '<string>',
'inline_data' => [

],
'thoughtSignature' => '<string>'
]
]
],
'generationConfig' => [

],
'cachedContent' => '<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.aisa.one/v1beta/models/{model}:generateContent"

payload := strings.NewReader("{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"<string>\",\n \"inline_data\": {},\n \"thoughtSignature\": \"<string>\"\n }\n ]\n }\n ],\n \"tools\": [\n {}\n ],\n \"toolConfig\": {},\n \"safetySettings\": [\n {}\n ],\n \"systemInstruction\": {\n \"parts\": [\n {\n \"text\": \"<string>\",\n \"inline_data\": {},\n \"thoughtSignature\": \"<string>\"\n }\n ]\n },\n \"generationConfig\": {},\n \"cachedContent\": \"<string>\"\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.aisa.one/v1beta/models/{model}:generateContent")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"<string>\",\n \"inline_data\": {},\n \"thoughtSignature\": \"<string>\"\n }\n ]\n }\n ],\n \"tools\": [\n {}\n ],\n \"toolConfig\": {},\n \"safetySettings\": [\n {}\n ],\n \"systemInstruction\": {\n \"parts\": [\n {\n \"text\": \"<string>\",\n \"inline_data\": {},\n \"thoughtSignature\": \"<string>\"\n }\n ]\n },\n \"generationConfig\": {},\n \"cachedContent\": \"<string>\"\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.aisa.one/v1beta/models/{model}:generateContent")

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 \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"<string>\",\n \"inline_data\": {},\n \"thoughtSignature\": \"<string>\"\n }\n ]\n }\n ],\n \"tools\": [\n {}\n ],\n \"toolConfig\": {},\n \"safetySettings\": [\n {}\n ],\n \"systemInstruction\": {\n \"parts\": [\n {\n \"text\": \"<string>\",\n \"inline_data\": {},\n \"thoughtSignature\": \"<string>\"\n }\n ]\n },\n \"generationConfig\": {},\n \"cachedContent\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body
{
  "candidates": [
    {
      "content": {
        "parts": [
          {
            "text": "<string>",
            "inline_data": {},
            "thoughtSignature": "<string>"
          }
        ]
      },
      "finishReason": "<string>",
      "index": 123,
      "safetyRatings": [
        {}
      ]
    }
  ],
  "usageMetadata": {
    "promptTokenCount": 123,
    "candidatesTokenCount": 123,
    "totalTokenCount": 123
  },
  "modelVersion": "<string>",
  "responseId": "<string>"
}
{
"error": {
"code": 123,
"message": "<string>",
"status": "<string>"
}
}

Authorizations

Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

model
string
required

The AIsa model ID to use, for example: gemini-3.5-flash.

Example:

"gemini-3.5-flash"

Body

application/json
contents
object[]
required

Content of the conversation, required

tools
object[]

Optional tools the model can use

toolConfig
object

Optional tool configuration

safetySettings
object[]
systemInstruction
object
generationConfig
object
cachedContent
string

Optional cached content ID

Response

Successful content generation

candidates
object[]
usageMetadata
object
modelVersion
string
responseId
string