Llm Generate
curl --request POST \
--url https://api.peachdeskai.com/api/v1/voice/llm/generate \
--header 'Content-Type: application/json' \
--header 'X-API-Key: <api-key>' \
--data '
{
"prompt": "<string>",
"system": "<string>",
"model_size": "BRAHMA-30B-FP8",
"max_tokens": 512,
"temperature": 0.7,
"examples": [
[
"<string>"
]
]
}
'import requests
url = "https://api.peachdeskai.com/api/v1/voice/llm/generate"
payload = {
"prompt": "<string>",
"system": "<string>",
"model_size": "BRAHMA-30B-FP8",
"max_tokens": 512,
"temperature": 0.7,
"examples": [["<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>',
system: '<string>',
model_size: 'BRAHMA-30B-FP8',
max_tokens: 512,
temperature: 0.7,
examples: [['<string>']]
})
};
fetch('https://api.peachdeskai.com/api/v1/voice/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://api.peachdeskai.com/api/v1/voice/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>',
'system' => '<string>',
'model_size' => 'BRAHMA-30B-FP8',
'max_tokens' => 512,
'temperature' => 0.7,
'examples' => [
[
'<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://api.peachdeskai.com/api/v1/voice/llm/generate"
payload := strings.NewReader("{\n \"prompt\": \"<string>\",\n \"system\": \"<string>\",\n \"model_size\": \"BRAHMA-30B-FP8\",\n \"max_tokens\": 512,\n \"temperature\": 0.7,\n \"examples\": [\n [\n \"<string>\"\n ]\n ]\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://api.peachdeskai.com/api/v1/voice/llm/generate")
.header("X-API-Key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"<string>\",\n \"system\": \"<string>\",\n \"model_size\": \"BRAHMA-30B-FP8\",\n \"max_tokens\": 512,\n \"temperature\": 0.7,\n \"examples\": [\n [\n \"<string>\"\n ]\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.peachdeskai.com/api/v1/voice/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 \"system\": \"<string>\",\n \"model_size\": \"BRAHMA-30B-FP8\",\n \"max_tokens\": 512,\n \"temperature\": 0.7,\n \"examples\": [\n [\n \"<string>\"\n ]\n ]\n}"
response = http.request(request)
puts response.read_body{
"text": "<string>",
"model_size": "<string>",
"usage": {
"engine": "<string>",
"model": "<string>",
"tts_characters": 123,
"stt_audio_seconds": 123,
"llm_tokens_input": 123,
"llm_tokens_output": 123
}
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}API Reference
Llm Generate
Run a single-turn BRAHMA-30B completion.
POST
/
llm
/
generate
Llm Generate
curl --request POST \
--url https://api.peachdeskai.com/api/v1/voice/llm/generate \
--header 'Content-Type: application/json' \
--header 'X-API-Key: <api-key>' \
--data '
{
"prompt": "<string>",
"system": "<string>",
"model_size": "BRAHMA-30B-FP8",
"max_tokens": 512,
"temperature": 0.7,
"examples": [
[
"<string>"
]
]
}
'import requests
url = "https://api.peachdeskai.com/api/v1/voice/llm/generate"
payload = {
"prompt": "<string>",
"system": "<string>",
"model_size": "BRAHMA-30B-FP8",
"max_tokens": 512,
"temperature": 0.7,
"examples": [["<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>',
system: '<string>',
model_size: 'BRAHMA-30B-FP8',
max_tokens: 512,
temperature: 0.7,
examples: [['<string>']]
})
};
fetch('https://api.peachdeskai.com/api/v1/voice/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://api.peachdeskai.com/api/v1/voice/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>',
'system' => '<string>',
'model_size' => 'BRAHMA-30B-FP8',
'max_tokens' => 512,
'temperature' => 0.7,
'examples' => [
[
'<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://api.peachdeskai.com/api/v1/voice/llm/generate"
payload := strings.NewReader("{\n \"prompt\": \"<string>\",\n \"system\": \"<string>\",\n \"model_size\": \"BRAHMA-30B-FP8\",\n \"max_tokens\": 512,\n \"temperature\": 0.7,\n \"examples\": [\n [\n \"<string>\"\n ]\n ]\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://api.peachdeskai.com/api/v1/voice/llm/generate")
.header("X-API-Key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"<string>\",\n \"system\": \"<string>\",\n \"model_size\": \"BRAHMA-30B-FP8\",\n \"max_tokens\": 512,\n \"temperature\": 0.7,\n \"examples\": [\n [\n \"<string>\"\n ]\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.peachdeskai.com/api/v1/voice/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 \"system\": \"<string>\",\n \"model_size\": \"BRAHMA-30B-FP8\",\n \"max_tokens\": 512,\n \"temperature\": 0.7,\n \"examples\": [\n [\n \"<string>\"\n ]\n ]\n}"
response = http.request(request)
puts response.read_body{
"text": "<string>",
"model_size": "<string>",
"usage": {
"engine": "<string>",
"model": "<string>",
"tts_characters": 123,
"stt_audio_seconds": 123,
"llm_tokens_input": 123,
"llm_tokens_output": 123
}
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}Authorizations
ApiKeyAuthSessionAuth
Organization API key (bibha_...). Takes precedence over the session credential, and is refused outright on user-session-only and super-admin routes.
Body
application/json
Request model for LLM text generation.
Required string length:
1 - 50000Maximum string length:
4000Pattern:
^(BRAHMA-30B-FP8)$Required range:
1 <= x <= 4096Required range:
0 <= x <= 2Maximum array length:
8Response
Successful Response
Response model for LLM text generation.
Per-request resource usage the engine reports back to the API proxy.
The proxy meters/bills off these fields; each one maps to a rate-registry
unit (TTS per character, STT per audio-second, LLM per token). Only the
dimensions relevant to the request are populated тАФ the rest stay None.
Show child attributes
Show child attributes

