GET
/
assistant
/
v1
/
models
Lists the available models
curl --request GET \
  --url https://api.langdock.com/assistant/v1/models \
  --header 'Authorization: <authorization>'
{
  "object": "list",
  "data": [
    {
      "id": "gpt-4o",
      "object": "model",
      "created": 1686935735000,
      "owned_by": "system"
    },
    {
      "id": "gpt-4o-mini",
      "object": "model",
      "created": 1686935735000,
      "owned_by": "system"
    }
  ]
}
Retrieve the list of models and their ids, available for use with the Assistant API. This endpoint is useful when you want to see which models you can use when creating a temporary assistant.

​
Example Request

const axios = require("axios");

async function getAvailableModels() {
  try {
    const response = await axios.get("https://api.langdock.com/assistant/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: 
{
  "object": "list",
  "data": [
    {
      "id": "gpt-4o",
      "object": "model",
      "created": 1686935735000,
      "owned_by": "system"
    },
    {
      "id": "gpt-4o-mini",
      "object": "model",
      "created": 1686935735000,
      "owned_by": "system"
    }
  ]
}

​
Error Handling

try {
  const response = await axios.get("https://api.langdock.com/assistant/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 500:
        console.error("Internal server error");
        break;
    }
  }
}
You can use any of these model IDs when creating a temporary assistant through the Assistant API. Simply specify the model ID in the model field of your assistant configuration: 
const response = await axios.post("https://api.langdock.com/assistant/v1/chat/completions", {
  assistant: {
    name: "Custom Assistant",
    instructions: "You are a helpful assistant",
    model: "gpt-4o", // Specify the model ID here
    // ... other configuration options
  },
  messages: [
    {
      role: "user",
      content: "Hello!",
    },
  ],
});

Headers

​
Authorization
string
required

API key as Bearer token. Format "Bearer YOUR_API_KEY"

Response

200
application/json

List of available models

The response is of type object.