Generate text
curl --request POST \
--url https://flowra.dev/api/v1/ai/llm/generate \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"prompt": "<string>",
"model": "<string>",
"temperature": 0.7,
"maxTokens": 4096,
"systemPrompt": "<string>"
}
'import requests
url = "https://flowra.dev/api/v1/ai/llm/generate"
payload = {
"prompt": "<string>",
"model": "<string>",
"temperature": 0.7,
"maxTokens": 4096,
"systemPrompt": "<string>"
}
headers = {
"x-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: '<string>',
model: '<string>',
temperature: 0.7,
maxTokens: 4096,
systemPrompt: '<string>'
})
};
fetch('https://flowra.dev/api/v1/ai/llm/generate', 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://flowra.dev/api/v1/ai/llm/generate",
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([
'prompt' => '<string>',
'model' => '<string>',
'temperature' => 0.7,
'maxTokens' => 4096,
'systemPrompt' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-api-key: <api-key>"
],
]);
$response = curl_exec($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://flowra.dev/api/v1/ai/llm/generate"
payload := strings.NewReader("{\n \"prompt\": \"<string>\",\n \"model\": \"<string>\",\n \"temperature\": 0.7,\n \"maxTokens\": 4096,\n \"systemPrompt\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
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://flowra.dev/api/v1/ai/llm/generate")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"<string>\",\n \"model\": \"<string>\",\n \"temperature\": 0.7,\n \"maxTokens\": 4096,\n \"systemPrompt\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://flowra.dev/api/v1/ai/llm/generate")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"prompt\": \"<string>\",\n \"model\": \"<string>\",\n \"temperature\": 0.7,\n \"maxTokens\": 4096,\n \"systemPrompt\": \"<string>\"\n}"
response = http.request(request)
puts response.read_bodyLLM
Generate text
Send a prompt and receive generated text from the configured LLM. Use for one-off completions, chat replies, or any task that needs AI-generated text. Supports long prompts.
POST
/
api
/
v1
/
ai
/
llm
/
generate
Generate text
curl --request POST \
--url https://flowra.dev/api/v1/ai/llm/generate \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"prompt": "<string>",
"model": "<string>",
"temperature": 0.7,
"maxTokens": 4096,
"systemPrompt": "<string>"
}
'import requests
url = "https://flowra.dev/api/v1/ai/llm/generate"
payload = {
"prompt": "<string>",
"model": "<string>",
"temperature": 0.7,
"maxTokens": 4096,
"systemPrompt": "<string>"
}
headers = {
"x-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: '<string>',
model: '<string>',
temperature: 0.7,
maxTokens: 4096,
systemPrompt: '<string>'
})
};
fetch('https://flowra.dev/api/v1/ai/llm/generate', 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://flowra.dev/api/v1/ai/llm/generate",
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([
'prompt' => '<string>',
'model' => '<string>',
'temperature' => 0.7,
'maxTokens' => 4096,
'systemPrompt' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-api-key: <api-key>"
],
]);
$response = curl_exec($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://flowra.dev/api/v1/ai/llm/generate"
payload := strings.NewReader("{\n \"prompt\": \"<string>\",\n \"model\": \"<string>\",\n \"temperature\": 0.7,\n \"maxTokens\": 4096,\n \"systemPrompt\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
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://flowra.dev/api/v1/ai/llm/generate")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"<string>\",\n \"model\": \"<string>\",\n \"temperature\": 0.7,\n \"maxTokens\": 4096,\n \"systemPrompt\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://flowra.dev/api/v1/ai/llm/generate")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"prompt\": \"<string>\",\n \"model\": \"<string>\",\n \"temperature\": 0.7,\n \"maxTokens\": 4096,\n \"systemPrompt\": \"<string>\"\n}"
response = http.request(request)
puts response.read_bodyAuthorizations
Project API key. Create and manage keys in the dashboard under Project → API Keys. Send as header: x-api-key:
Body
application/json
Show child attributes
Show child attributes
Response
Generated text
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