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telnyx-ai-assistants-ruby

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SKILL.md

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

# Telnyx AI Assistants - Ruby

## Installation

```bash
gem install telnyx
```

## Setup

```ruby
require "telnyx"

client = Telnyx::Client.new(
  api_key: ENV["TELNYX_API_KEY"], # This is the default and can be omitted
)
```

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

## Error Handling

All API calls can fail with network errors, rate limits (429), validation errors (422),
or authentication errors (401). Always handle errors in production code:

```ruby
assistant = client.ai.assistants.create(instructions: "You are a helpful assistant.", model: "openai/gpt-4o", name: "my-resource")
puts(assistant)
```

Common error codes: `401` invalid API key, `403` insufficient permissions,
`404` resource not found, `422` validation error (check field formats),
`429` rate limited (retry with exponential backoff).

## Important Notes

- **Phone numbers** must be in E.164 format (e.g., `+13125550001`). Include the `+` prefix and country code. No spaces, dashes, or parentheses.
- **Pagination:** Use `.auto_paging_each` for automatic iteration: `page.auto_paging_each { |item| puts item.id }`.

## Reference Use Rules

Do not invent Telnyx parameters, enums, response fields, or webhook fields.

- If the parameter, enum, or response field you need is not shown inline in this skill, read [references/api-details.md](references/api-details.md) before writing code.
- Before using any operation in `## Additional Operations`, read [the optional-parameters section](references/api-details.md#optional-parameters) and [the response-schemas section](references/api-details.md#response-schemas).

## Core Tasks

### Create an assistant

Assistant creation is the entrypoint for any AI assistant integration. Agents need the exact creation method and the top-level fields returned by the SDK.

`client.ai.assistants.create()` — `POST /ai/assistants`

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `name` | string | Yes |  |
| `model` | string | Yes | ID of the model to use. |
| `instructions` | string | Yes | System instructions for the assistant. |
| `tools` | array[object] | No | The tools that the assistant can use. |
| `tool_ids` | array[string] | No |  |
| `description` | string | No |  |
| ... | | | +12 optional params in [references/api-details.md](references/api-details.md) |

```ruby
assistant = client.ai.assistants.create(instructions: "You are a helpful assistant.", model: "openai/gpt-4o", name: "my-resource")

puts(assistant)
```

Primary response fields:
- `assistant.id`
- `assistant.name`
- `assistant.model`
- `assistant.instructions`
- `assistant.created_at`
- `assistant.description`

### Chat with an assistant

Chat is the primary runtime path. Agents need the exact assistant method and the response content field.

`client.ai.assistants.chat()` — `POST /ai/assistants/{assistant_id}/chat`

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `content` | string | Yes | The message content sent by the client to the assistant |
| `conversation_id` | string (UUID) | Yes | A unique identifier for the conversation thread, used to mai... |
| `assistant_id` | string (UUID) | Yes |  |
| `name` | string | No | The optional display name of the user sending the message |

```ruby
response = client.ai.assistants.chat(
  "assistant_id",
  content: "Tell me a joke about cats",
  conversation_id: "42b20469-1215-4a9a-8964-c36f66b406f4"
)

puts(response)
```

Primary response fields:
- `response.content`

### Create an assistant test

Test creation is the main validation path for production assistant behavior before deployment.

`client.ai.assistants.tests.create()` — `POST /ai/assistants/tests`

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `name` | string | Yes | A descriptive name for the assistant test. |
| `destination` | string | Yes | The target destination for the test conversation. |
| `instructions` | string | Yes | Detailed instructions that define the test scenario and what... |
| `rubric` | array[object] | Yes | Evaluation criteria used to assess the assistant's performan... |
| `description` | string | No | Optional detailed description of what this test evaluates an... |
| `telnyx_conversation_channel` | object | No | The communication channel through which the test will be con... |
| `max_duration_seconds` | integer | No | Maximum duration in seconds that the test conversation shoul... |
| ... | | | +1 optional params in [references/api-details.md](references/api-details.md) |

```ruby
assistant_test = 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"}
  ]
)

puts(assistant_test)
```

Primary response fields:
- `assistant_test.test_id`
- `assistant_test.name`
- `assistant_test.destination`
- `assistant_test.created_at`
- `assistant_test.instructions`
- `assistant_test.description`

---

## Important Supporting Operations

Use these when the core tasks above are close to your flow, but you need a common variation or follow-up step.

### Get an assistant

Fetch the current state before updating, deleting, or making control-flow decisions.

`client.ai.assistants.retrieve()` — `GET /ai/assistants/{assistant_id}`

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `assistant_id` | string (UUID) | Yes |  |
| `call_control_id` | string (UUID) | No |  |
| `fetch_dynamic_variables_from_webhook` | boolean | No |  |
| `from` | string (E.164) | No |  |
| ... | | | +1 optional params in [refer