Chat with conversation history
curl --request POST \
--url https://flowra.dev/api/v1/ai/llm/chat \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"messages": "<array>",
"model": "<string>",
"temperature": 123,
"maxTokens": 123,
"systemPrompt": "<string>"
}
'import requests
url = "https://flowra.dev/api/v1/ai/llm/chat"
payload = {
"messages": "<array>",
"model": "<string>",
"temperature": 123,
"maxTokens": 123,
"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({
messages: '<array>',
model: '<string>',
temperature: 123,
maxTokens: 123,
systemPrompt: '<string>'
})
};
fetch('https://flowra.dev/api/v1/ai/llm/chat', 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/chat",
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([
'messages' => '<array>',
'model' => '<string>',
'temperature' => 123,
'maxTokens' => 123,
'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/chat"
payload := strings.NewReader("{\n \"messages\": \"<array>\",\n \"model\": \"<string>\",\n \"temperature\": 123,\n \"maxTokens\": 123,\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/chat")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"messages\": \"<array>\",\n \"model\": \"<string>\",\n \"temperature\": 123,\n \"maxTokens\": 123,\n \"systemPrompt\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://flowra.dev/api/v1/ai/llm/chat")
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 \"messages\": \"<array>\",\n \"model\": \"<string>\",\n \"temperature\": 123,\n \"maxTokens\": 123,\n \"systemPrompt\": \"<string>\"\n}"
response = http.request(request)
puts response.read_bodyLLM
Chat with conversation history
Send a list of messages (user/assistant/system) and get the next assistant reply. Use for multi-turn conversations.
POST
/
api
/
v1
/
ai
/
llm
/
chat
Chat with conversation history
curl --request POST \
--url https://flowra.dev/api/v1/ai/llm/chat \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"messages": "<array>",
"model": "<string>",
"temperature": 123,
"maxTokens": 123,
"systemPrompt": "<string>"
}
'import requests
url = "https://flowra.dev/api/v1/ai/llm/chat"
payload = {
"messages": "<array>",
"model": "<string>",
"temperature": 123,
"maxTokens": 123,
"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({
messages: '<array>',
model: '<string>',
temperature: 123,
maxTokens: 123,
systemPrompt: '<string>'
})
};
fetch('https://flowra.dev/api/v1/ai/llm/chat', 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/chat",
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([
'messages' => '<array>',
'model' => '<string>',
'temperature' => 123,
'maxTokens' => 123,
'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/chat"
payload := strings.NewReader("{\n \"messages\": \"<array>\",\n \"model\": \"<string>\",\n \"temperature\": 123,\n \"maxTokens\": 123,\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/chat")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"messages\": \"<array>\",\n \"model\": \"<string>\",\n \"temperature\": 123,\n \"maxTokens\": 123,\n \"systemPrompt\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://flowra.dev/api/v1/ai/llm/chat")
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 \"messages\": \"<array>\",\n \"model\": \"<string>\",\n \"temperature\": 123,\n \"maxTokens\": 123,\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
Assistant reply text
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