Calculate expected LLM usage
POST https://api.elevenlabs.io/v1/convai/agent//llm-usage/calculate Content-Type: application/json
Calculates expected number of LLM tokens needed for the specified agent.
Reference: https://elevenlabs.io/docs/api-reference/agents/calculate
Servers
Section titled “Servers”https://api.elevenlabs.io(Production, default)https://api.us.elevenlabs.io(Production US)https://api.eu.residency.elevenlabs.io(Production EU)https://api.in.residency.elevenlabs.io(Production India)https://api.sg.residency.elevenlabs.io(Production Singapore)
Request
Section titled “Request”Path parameters
Section titled “Path parameters”agent_id(string, required)
Body (application/json)
Section titled “Body (application/json)”This endpoint expects a LLMUsageCalculatorRequestModel.
prompt_length(integer, optional, nullable) — Length of the prompt in characters.number_of_pages(integer, optional, nullable) — Pages of content in pdf documents OR urls in agent's Knowledge Base.rag_enabled(boolean, optional, nullable) — Whether RAG is enabled.
Response
Section titled “Response”Successful Response
llm_prices(list of LLMUsageCalculatorLLMResponseModel, required)
Errors
Section titled “Errors”422 Unprocessable Entity Error
Section titled “422 Unprocessable Entity Error”Validation Error
detail(list of ValidationError, optional)
LLMUsageCalculatorLLMResponseModel
Section titled “LLMUsageCalculatorLLMResponseModel”llm(enum, required)- Allowed values:
gpt-4o-mini,gpt-4o,gpt-4,gpt-4-turbo,gpt-4.1,gpt-4.1-mini,gpt-4.1-nano,gpt-5,gpt-5.1,gpt-5.2,gpt-5.2-chat-latest,gpt-5.4,gpt-5.4-mini,gpt-5.4-nano,gpt-5.5,gpt-5.6-sol,gpt-5.6-terra,gpt-5.6-luna,gpt-6-astra,gpt-6-sol,gpt-6-luna,gpt-5-mini,gpt-5-nano,gpt-3.5-turbo,gemini-1.5-pro,gemini-1.5-flash,gemini-2.0-flash,gemini-2.0-flash-lite,gemini-2.5-flash-lite,gemini-2.5-flash,gemini-3-pro-preview,gemini-3-flash-preview,gemini-3.1-pro-preview,gemini-3.1-flash-lite-preview,gemini-3.1-flash-lite,gemini-3.5-flash,gemini-3.5-flash-lite,gemini-3.6-flash,gemini-3.7-flash,gemini-3.8-flash,claude-sonnet-4-5,claude-opus-4-7,claude-opus-4-8,claude-opus-5,claude-opus-5-5,claude-sonnet-4-6,claude-sonnet-5,claude-sonnet-4,claude-haiku-4-5,claude-3-7-sonnet,claude-3-5-sonnet,claude-3-5-sonnet-v1,claude-3-haiku,grok-beta,custom-llm,qwen3-4b,qwen3-30b-a3b,qwen36-35b-a3b,qwen35-397b-a17b,gpt-oss-20b,gpt-oss-120b,glm-45-air-fp8,glm-52,deepseek-v41-flash,gemini-2.5-flash-preview-09-2025,gemini-2.5-flash-lite-preview-09-2025,gemini-2.5-flash-preview-05-20,gemini-2.5-flash-preview-04-17,gemini-2.5-flash-lite-preview-06-17,gemini-2.0-flash-lite-001,gemini-2.0-flash-001,gemini-1.5-flash-002,gemini-1.5-flash-001,gemini-1.5-pro-002,gemini-1.5-pro-001,claude-sonnet-4@20250514,claude-sonnet-4-5@20250929,claude-haiku-4-5@20251001,claude-3-7-sonnet@20250219,claude-3-5-sonnet@20240620,claude-3-5-sonnet-v2@20241022,claude-3-haiku@20240307,gpt-5-2025-08-07,gpt-5.1-2025-11-13,gpt-5.2-2025-12-11,gpt-5.4-2026-03-05,gpt-5.4-mini-2026-03-17,gpt-5.4-nano-2026-03-17,gpt-5.5-2026-04-23,gpt-5-mini-2025-08-07,gpt-5-nano-2025-08-07,gpt-4.1-2025-04-14,gpt-4.1-mini-2025-04-14,gpt-4.1-nano-2025-04-14,gpt-4o-mini-2024-07-18,gpt-4o-2024-11-20,gpt-4o-2024-08-06,gpt-4o-2024-05-13,gpt-4-0613,gpt-4-0314,gpt-4-turbo-2024-04-09,gpt-3.5-turbo-0125,gpt-3.5-turbo-1106,watt-tool-8b,watt-tool-70b
- Allowed values:
price_per_minute(double, required)price_per_message(double, required)
ValidationError
Section titled “ValidationError”loc(list of ValidationErrorLocItems, required)msg(string, required)type(string, required)
ValidationErrorLocItems
Section titled “ValidationErrorLocItems”Examples
Section titled “Examples”Request
{}Response
{
"llm_prices": [
{
"llm": "gpt-4o-mini",
"price_per_minute": 1.1,
"price_per_message": 1.1
}
]
}SDK Code
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
async function main() {
const client = new ElevenLabsClient();
await client.conversationalAi.agents.llmUsage.calculate("agent_id", {});
}
main();
from elevenlabs import ElevenLabs
client = ElevenLabs()
client.conversational_ai.agents.llm_usage.calculate(
agent_id="agent_id",
)
package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.elevenlabs.io/v1/convai/agent/agent_id/llm-usage/calculate"
payload := strings.NewReader("{}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(res)
fmt.Println(string(body))
}require 'uri'
require 'net/http'
url = URI("https://api.elevenlabs.io/v1/convai/agent/agent_id/llm-usage/calculate")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{}"
response = http.request(request)
puts response.read_bodyimport com.mashape.unirest.http.HttpResponse;
import com.mashape.unirest.http.Unirest;
HttpResponse<String> response = Unirest.post("https://api.elevenlabs.io/v1/convai/agent/agent_id/llm-usage/calculate")
.header("Content-Type", "application/json")
.body("{}")
.asString();<?php
require_once('vendor/autoload.php');
$client = new \GuzzleHttp\Client();
$response = $client->request('POST', 'https://api.elevenlabs.io/v1/convai/agent/agent_id/llm-usage/calculate', [
'body' => '{}',
'headers' => [
'Content-Type' => 'application/json',
],
]);
echo $response->getBody();using RestSharp;
var client = new RestClient("https://api.elevenlabs.io/v1/convai/agent/agent_id/llm-usage/calculate");
var request = new RestRequest(Method.POST);
request.AddHeader("Content-Type", "application/json");
request.AddParameter("application/json", "{}", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);import Foundation
let headers = ["Content-Type": "application/json"]
let parameters = [] as [String : Any]
let postData = JSONSerialization.data(withJSONObject: parameters, options: [])
let request = NSMutableURLRequest(url: NSURL(string: "https://api.elevenlabs.io/v1/convai/agent/agent_id/llm-usage/calculate")! as URL,
cachePolicy: .useProtocolCachePolicy,
timeoutInterval: 10.0)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = postData as Data
let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
if (error != nil) {
print(error as Any)
} else {
let httpResponse = response as? HTTPURLResponse
print(httpResponse)
}
})
dataTask.resume()