team-telnyx/telnyx-ai-assistants-javascript

<!-- Auto-generated from Telnyx OpenAPI specs. Do not edit. -->

Telnyx Ai Assistants - JavaScript

Installation

npm install telnyx

Setup

import Telnyx from 'telnyx';

const client = new Telnyx({
  apiKey: process.env['TELNYX_API_KEY'], // This is the default and can be omitted
});

All examples below assume client is already initialized as shown above.

List assistants

Retrieve a list of all AI Assistants configured by the user.

GET /ai/assistants

const assistantsList = await client.ai.assistants.list();

console.log(assistantsList.data);

Create an assistant

Create a new AI Assistant.

POST /ai/assistants — Required: name, model, instructions

const assistant = await client.ai.assistants.create({
  instructions: 'instructions',
  model: 'model',
  name: 'name',
});

console.log(assistant.id);

Get an assistant

Retrieve an AI Assistant configuration by assistant_id.

GET /ai/assistants/{assistant_id}

const assistant = await client.ai.assistants.retrieve('assistant_id');

console.log(assistant.id);

Update an assistant

Update an AI Assistant's attributes.

POST /ai/assistants/{assistant_id}

const assistant = await client.ai.assistants.update('assistant_id');

console.log(assistant.id);

Delete an assistant

Delete an AI Assistant by assistant_id.

DELETE /ai/assistants/{assistant_id}

const assistant = await client.ai.assistants.delete('assistant_id');

console.log(assistant.id);

Assistant Chat (BETA)

This endpoint allows a client to send a chat message to a specific AI Assistant.

POST /ai/assistants/{assistant_id}/chat — Required: content, conversation_id

const response = await client.ai.assistants.chat('assistant_id', {
  content: 'Tell me a joke about cats',
  conversation_id: '42b20469-1215-4a9a-8964-c36f66b406f4',
});

console.log(response.content);

Assistant Sms Chat

Send an SMS message for an assistant.

POST /ai/assistants/{assistant_id}/chat/sms — Required: from, to

const response = await client.ai.assistants.sendSMS('assistant_id', { from: 'from', to: 'to' });

console.log(response.conversation_id);

Clone Assistant

Clone an existing assistant, excluding telephony and messaging settings.

POST /ai/assistants/{assistant_id}/clone

const assistant = await client.ai.assistants.clone('assistant_id');

console.log(assistant.id);

Import assistants from external provider

Import assistants from external providers.

POST /ai/assistants/import — Required: provider, api_key_ref

const assistantsList = await client.ai.assistants.imports({
  api_key_ref: 'api_key_ref',
  provider: 'elevenlabs',
});

console.log(assistantsList.data);

List scheduled events

Get scheduled events for an assistant with pagination and filtering

GET /ai/assistants/{assistant_id}/scheduled_events

// Automatically fetches more pages as needed.
for await (const scheduledEventListResponse of client.ai.assistants.scheduledEvents.list(
  'assistant_id',
)) {
  console.log(scheduledEventListResponse);
}

Create a scheduled event

Create a scheduled event for an assistant

POST /ai/assistants/{assistant_id}/scheduled_events — Required: telnyx_conversation_channel, telnyx_end_user_target, telnyx_agent_target, scheduled_at_fixed_datetime

const scheduledEventResponse = await client.ai.assistants.scheduledEvents.create('assistant_id', {
  scheduled_at_fixed_datetime: '2025-04-15T13:07:28.764Z',
  telnyx_agent_target: 'telnyx_agent_target',
  telnyx_conversation_channel: 'phone_call',
  telnyx_end_user_target: 'telnyx_end_user_target',
});

console.log(scheduledEventResponse);

Get a scheduled event

Retrieve a scheduled event by event ID

GET /ai/assistants/{assistant_id}/scheduled_events/{event_id}

const scheduledEventResponse = await client.ai.assistants.scheduledEvents.retrieve('event_id', {
  assistant_id: 'assistant_id',
});

console.log(scheduledEventResponse);

Delete a scheduled event

If the event is pending, this will cancel the event.

DELETE /ai/assistants/{assistant_id}/scheduled_events/{event_id}

await client.ai.assistants.scheduledEvents.delete('event_id', { assistant_id: 'assistant_id' });

List assistant tests with pagination

Retrieves a paginated list of assistant tests with optional filtering capabilities

GET /ai/assistants/tests

// Automatically fetches more pages as needed.
for await (const assistantTest of client.ai.assistants.tests.list()) {
  console.log(assistantTest.test_id);
}

Create a new assistant test

Creates a comprehensive test configuration for evaluating AI assistant performance

POST /ai/assistants/tests — Required: name, destination, instructions, rubric

const assistantTest = await client.ai.assistants.tests.create({
  destination: '+15551234567',
  instructions:
    'Act as a frustrated customer who received a damaged product. Ask for a refund and escalate if not satisfied with the initial response.',
  name: 'Customer Support Bot Test',
  rubric: [
    { criteria: 'Assistant responds within 30 seconds', name: 'Response Time' },
    { criteria: 'Provides correct product information', name: 'Accuracy' },
  ],
});

console.log(assistantTest.test_id);

Get all test suite names

Retrieves a list of all distinct test suite names available to the current user

GET /ai/assistants/tests/test-suites

const testSuites = await client.ai.assistants.tests.testSuites.list();

console.log(testSuites.data);

Get test suite run history

Retrieves paginated history of test runs for a specific test suite with filtering options

GET /ai/assistants/tests/test-suites/{suite_name}/runs

// Automatically fetches more pages as needed.
for await (const testRunResponse of client.ai.assistants.tests.testSuites.runs.list('suite_name')) {
  console.log(testRunResponse.run_id);
}

Trigger test suite execution

Executes all tests within a specific test suite as a batch operation

POST /ai/assistants/tests/test-suites/{suite_name}/runs

const testRunResponses = await client.ai.assistants.tests.testSuites.runs.trigger('suite_name');

console.log(testRunResponses);

Get assistant test by ID

Retrieves detailed information about a specific assistant test

GET /ai/assistants/tests/{test_id}

const assistantTest = await client.ai.assistants.tests.retrieve('test_id');

console.log(assistantTest.test_id);

Update an assistant test

Updates an existing assistant test configuration with new settings

PUT /ai/assistants/tests/{test_id}

const assistantTest = await client.ai.assistants.tests.update('test_id');

console.log(assistantTest.test_id);

Delete an assistant test

Permanently removes an assistant test and all associated data

DELETE /ai/assistants/tests/{test_id}

await client.ai.assistants.tests.delete('test_id');

Get test run history for a specific test

Retrieves paginated execution history for a specific assistant test with filtering options

GET /ai/assistants/tests/{test_id}/runs

// Automatically fetches more pages as needed.
for await (const testRunResponse of client.ai.assistants.tests.runs.list('test_id')) {
  console.log(testRunResponse.run_id);
}

Trigger a manual test run

Initiates immediate execution of a specific assistant test

POST /ai/assistants/tests/{test_id}/runs

const testRunResponse = await client.ai.assistants.tests.runs.trigger('test_id');

console.log(testRunResponse.run_id);

Get specific test run details

Retrieves detailed information about a specific test run execution

GET /ai/assistants/tests/{test_id}/runs/{run_id}

const testRunResponse = await client.ai.assistants.tests.runs.retrieve('run_id', {
  test_id: 'test_id',
});

console.log(testRunResponse.run_id);

Get all versions of an assistant

Retrieves all versions of a specific assistant with complete configuration and metadata

GET /ai/assistants/{assistant_id}/versions

const assistantsList = await client.ai.assistants.versions.list('assistant_id');

console.log(assistantsList.data);

Get a specific assistant version

Retrieves a specific version of an assistant by assistant_id and version_id

GET /ai/assistants/{assistant_id}/versions/{version_id}

const assistant = await client.ai.assistants.versions.retrieve('version_id', {
  assistant_id: 'assistant_id',
});

console.log(assistant.id);

Update a specific assistant version

Updates the configuration of a specific assistant version.

POST /ai/assistants/{assistant_id}/versions/{version_id}

const assistant = await client.ai.assistants.versions.update('version_id', {
  assistant_id: 'assistant_id',
});

console.log(assistant.id);

Delete a specific assistant version

Permanently removes a specific version of an assistant.

DELETE /ai/assistants/{assistant_id}/versions/{version_id}

await client.ai.assistants.versions.delete('version_id', { assistant_id: 'assistant_id' });

Promote an assistant version to main

Promotes a specific version to be the main/current version of the assistant.

POST /ai/assistants/{assistant_id}/versions/{version_id}/promote

const assistant = await client.ai.assistants.versions.promote('version_id', {
  assistant_id: 'assistant_id',
});

console.log(assistant.id);

Get Canary Deploy

Endpoint to get a canary deploy configuration for an assistant.

GET /ai/assistants/{assistant_id}/canary-deploys

const canaryDeployResponse = await client.ai.assistants.canaryDeploys.retrieve('assistant_id');

console.log(canaryDeployResponse.assistant_id);

Create Canary Deploy

Endpoint to create a canary deploy configuration for an assistant.

POST /ai/assistants/{assistant_id}/canary-deploys — Required: versions

const canaryDeployResponse = await client.ai.assistants.canaryDeploys.create('assistant_id', {
  versions: [{ percentage: 1, version_id: 'version_id' }],
});

console.log(canaryDeployResponse.assistant_id);

Update Canary Deploy

Endpoint to update a canary deploy configuration for an assistant.

PUT /ai/assistants/{assistant_id}/canary-deploys — Required: versions

const canaryDeployResponse = await client.ai.assistants.canaryDeploys.update('assistant_id', {
  versions: [{ percentage: 1, version_id: 'version_id' }],
});

console.log(canaryDeployResponse.assistant_id);

Delete Canary Deploy

Endpoint to delete a canary deploy configuration for an assistant.

DELETE /ai/assistants/{assistant_id}/canary-deploys

await client.ai.assistants.canaryDeploys.delete('assistant_id');

Get assistant texml

Get an assistant texml by assistant_id.

GET /ai/assistants/{assistant_id}/texml

const response = await client.ai.assistants.getTexml('assistant_id');

console.log(response);

Test Assistant Tool

Test a webhook tool for an assistant

POST /ai/assistants/{assistant_id}/tools/{tool_id}/test

const response = await client.ai.assistants.tools.test('tool_id', { assistant_id: 'assistant_id' });

console.log(response.data);

List Integrations

List all available integrations.

GET /ai/integrations

const integrations = await client.ai.integrations.list();

console.log(integrations.data);

List User Integrations

List user setup integrations

GET /ai/integrations/connections

const connections = await client.ai.integrations.connections.list();

console.log(connections.data);

Get User Integration connection By Id

Get user setup integrations

GET /ai/integrations/connections/{user_connection_id}

const connection = await client.ai.integrations.connections.retrieve('user_connection_id');

console.log(connection.data);

Delete Integration Connection

Delete a specific integration connection.

DELETE /ai/integrations/connections/{user_connection_id}

await client.ai.integrations.connections.delete('user_connection_id');

List Integration By Id

Retrieve integration details

GET /ai/integrations/{integration_id}

const integration = await client.ai.integrations.retrieve('integration_id');

console.log(integration.id);

List MCP Servers

Retrieve a list of MCP servers.

GET /ai/mcp_servers

// Automatically fetches more pages as needed.
for await (const mcpServerListResponse of client.ai.mcpServers.list()) {
  console.log(mcpServerListResponse.id);
}

Create MCP Server

Create a new MCP server.

POST /ai/mcp_servers — Required: name, type, url

const mcpServer = await client.ai.mcpServers.create({
  name: 'name',
  type: 'type',
  url: 'url',
});

console.log(mcpServer.id);

Get MCP Server

Retrieve details for a specific MCP server.

GET /ai/mcp_servers/{mcp_server_id}

const mcpServer = await client.ai.mcpServers.retrieve('mcp_server_id');

console.log(mcpServer.id);

Update MCP Server

Update an existing MCP server.

PUT /ai/mcp_servers/{mcp_server_id}

const mcpServer = await client.ai.mcpServers.update('mcp_server_id');

console.log(mcpServer.id);

Delete MCP Server

Delete a specific MCP server.

DELETE /ai/mcp_servers/{mcp_server_id}

await client.ai.mcpServers.delete('mcp_server_id');