Enhance Assistant Instructions

Enhance an assistant’s instructions using an LLM. The endpoint reads the assistant’s current instructions and tools, then streams back improved instructions as they are generated.

Optionally provide an enhancement_prompt to steer the changes (for example, “make the instructions more concise” or “add error handling guidance”). When omitted, the assistant’s existing instructions are used as the basis for the enhancement.

The enhancement focuses on tool-calling reliability, clarity and precision, completeness and error handling, tool schema alignment, and conversation flow structure.

The response is streamed as text/plain using chunked transfer encoding; consume the body incrementally to render the enhanced instructions as they arrive.

POST

assistants

{assistant_id}

instructions

enhance

JavaScript

import Telnyx from 'telnyx';

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

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

console.log(response);

"<string>"

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

assistant_id

string

required

Unique identifier of the assistant.

Body

application/json

enhancement_prompt

string | null

Optional guidance describing how the instructions should be enhanced. When provided, the LLM applies these requested changes in addition to fixing any identified issues.

instructions

string | null

The instructions to enhance. When omitted, the assistant's existing instructions are used.

Response

A stream of enhanced instruction text. The body is sent as text/plain using chunked transfer encoding.

The response is of type string.

Clone Assistant

Import assistants from external provider

⌘I

JavaScript

import Telnyx from 'telnyx';

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

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

console.log(response);

"<string>"