Models for Agent API

Lists the available models

curl --request GET \
  --url https://api.langdock.com/agent/v1/models \
  --header 'Authorization: Bearer <token>'

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.langdock.com/agent/v1/models', 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.langdock.com/agent/v1/models",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.langdock.com/agent/v1/models"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

require 'uri'
require 'net/http'

url = URI("https://api.langdock.com/agent/v1/models")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

response = http.request(request)
puts response.read_body

{
  "object": "list",
  "data": [
    {
      "id": "<string>",
      "object": "<string>",
      "created": 123,
      "owned_by": "<string>"
    }
  ]
}

GET

agent

models

Lists the available models

curl --request GET \
  --url https://api.langdock.com/agent/v1/models \
  --header 'Authorization: Bearer <token>'

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.langdock.com/agent/v1/models', 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.langdock.com/agent/v1/models",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.langdock.com/agent/v1/models"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

require 'uri'
require 'net/http'

url = URI("https://api.langdock.com/agent/v1/models")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

response = http.request(request)
puts response.read_body

{
  "object": "list",
  "data": [
    {
      "id": "<string>",
      "object": "<string>",
      "created": 123,
      "owned_by": "<string>"
    }
  ]
}

Retrieve the list of models and their ids, available for use with the Agent API. This endpoint is useful when you want to see which models you can use when creating a temporary agent.

Before You Start

Legacy Assistants API: This is the new Agents API with native Vercel AI SDK compatibility. If you’re using the legacy Assistants API, see the migration guide.

Base URL

https://api.langdock.com/agent/v1/models

Dedicated deploymentsReplace api.langdock.com with <your-deployment-url>/api/public in all requests.

Example Request

const axios = require("axios");

async function getAvailableModels() {
  try {
    const response = await axios.get("https://api.langdock.com/agent/v1/models", {
      headers: {
        Authorization: "Bearer YOUR_API_KEY",
      },
    });

    console.log("Available models:", response.data.data);
  } catch (error) {
    console.error("Error fetching models:", error);
  }
}

Response Format

The API returns a list of available models in the following format:

Response Fields

string

Always ‘list’, indicating the top-level JSON object type.

array<Model>

Array containing available model objects.

Model object fields

string

Model ID to use when creating or updating agents (e.g., “gpt-5”).

string

Always ‘model’, indicating the object type.

integer

Unix timestamp (ms) when the model was created.

string

Region where the model is available (e.g., “eu”, “us”, “global”).

boolean

Whether this model supports extended thinking mode.

Example response

{
  "object": "list",
  "data": [
    {
      "id": "gpt-5",
      "object": "model",
      "created": 1686935735000,
      "region": "eu",
      "supportsExtendedThinking": false
    }
    // …other models
  ]
}

Error Handling

try {
  const response = await axios.get("https://api.langdock.com/agent/v1/models", {
    headers: {
      Authorization: "Bearer YOUR_API_KEY",
    },
  });
} catch (error) {
  if (error.response) {
    switch (error.response.status) {
      case 400:
        console.error("Invalid request parameters");
        break;
      case 401:
        console.error("Invalid API key");
        break;
      case 500:
        console.error("Internal server error");
        break;
    }
  }
}

You can use any of these model IDs when creating a temporary agent through the Agent API. Simply specify the model ID in the model field of your agent configuration:

const response = await axios.post("https://api.langdock.com/agent/v1/chat/completions", {
  agent: {
    name: "Custom Agent",
    instructions: "You are a helpful agent",
    model: "gpt-5", // Specify the model ID here
  },
  messages: [
    { id: "msg_1", role: "user", parts: [{ type: "text", text: "Hello!" }] },
  ],
});

curl https://api.langdock.com/agent/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "agent": {
      "name": "Custom Agent",
      "instructions": "You are a helpful agent",
      "model": "gpt-5"
    },
    "messages": [
      { "id": "msg_1", "role": "user", "parts": [{ "type": "text", "text": "Hello!" }] }
    ]
  }'

Langdock intentionally blocks browser-origin requests to protect your API key and ensure your applications remain secure. For more information, please see our guide on API Key Best Practices.

Authorizations

Authorization

string

header

required

API key as Bearer token. Format "Bearer YOUR_API_KEY"

Response

200 - application/json

List of available models

object

enum<string>

required

Available options:

list

data

object[]

required

Show child attributes

⌘I

Overview

Completion API

Embedding API

Agents API

Assistants API (Deprecating)

Integrations API

Skills API

Knowledge Folder API

Usage Export API

Workflow Run Export API

User Management API

Audit Logs API

Models for Agent API

Before You Start

Base URL

Example Request

Response Format

Response Fields

Error Handling

Authorizations

Response

​Before You Start

​Base URL

​Example Request

​Response Format

​Response Fields

​Error Handling

Authorizations

Response

Before You Start

Base URL

Example Request

Response Format

Response Fields

Error Handling