telnyx-ai-inference-java

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

# Telnyx Ai Inference - Java

## Installation

```text
<!-- Maven -->
<dependency>
    <groupId>com.telnyx.sdk</groupId>
    <artifactId>telnyx</artifactId>
    <version>6.36.0</version>
</dependency>

// Gradle
implementation("com.telnyx.sdk:telnyx:6.36.0")
```

## Setup

```java
import com.telnyx.sdk.client.TelnyxClient;
import com.telnyx.sdk.client.okhttp.TelnyxOkHttpClient;

TelnyxClient client = TelnyxOkHttpClient.fromEnv();
```

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:

```java
import com.telnyx.sdk.errors.TelnyxServiceException;

try {
    var result = client.messages().send(params);
} catch (TelnyxServiceException e) {
    System.err.println("API error " + e.statusCode() + ": " + e.getMessage());
    if (e.statusCode() == 422) {
        System.err.println("Validation error — check required fields and formats");
    } else if (e.statusCode() == 429) {
        // Rate limited — wait and retry with exponential backoff
        Thread.sleep(1000);
    }
}
```

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

- **Pagination:** List methods return a page. Use `.autoPager()` for automatic iteration: `for (var item : page.autoPager()) { ... }`. For manual control, use `.hasNextPage()` and `.nextPage()`.

## Transcribe speech to text

Transcribe speech to text. This endpoint is consistent with the [OpenAI Transcription API](https://platform.openai.com/docs/api-reference/audio/createTranscription) and may be used with the OpenAI JS or Python SDK.

`POST /ai/audio/transcriptions`

```java
import com.telnyx.sdk.models.ai.audio.AudioTranscribeParams;
import com.telnyx.sdk.models.ai.audio.AudioTranscribeResponse;

AudioTranscribeParams params = AudioTranscribeParams.builder()
    .model(AudioTranscribeParams.Model.DISTIL_WHISPER_DISTIL_LARGE_V2)
    .build();
AudioTranscribeResponse response = client.ai().audio().transcribe(params);
```

Returns: `duration` (number), `segments` (array[object]), `text` (string)

## Create a chat completion

Chat with a language model. This endpoint is consistent with the [OpenAI Chat Completions API](https://platform.openai.com/docs/api-reference/chat) and may be used with the OpenAI JS or Python SDK.

`POST /ai/chat/completions` — Required: `messages`

Optional: `api_key_ref` (string), `best_of` (integer), `early_stopping` (boolean), `enable_thinking` (boolean), `frequency_penalty` (number), `guided_choice` (array[string]), `guided_json` (object), `guided_regex` (string), `length_penalty` (number), `logprobs` (boolean), `max_tokens` (integer), `min_p` (number), `model` (string), `n` (number), `presence_penalty` (number), `response_format` (object), `stream` (boolean), `temperature` (number), `tool_choice` (enum: none, auto, required), `tools` (array[object]), `top_logprobs` (integer), `top_p` (number), `use_beam_search` (boolean)

```java
import com.telnyx.sdk.models.ai.chat.ChatCreateCompletionParams;
import com.telnyx.sdk.models.ai.chat.ChatCreateCompletionResponse;

ChatCreateCompletionParams params = ChatCreateCompletionParams.builder()
    .addMessage(ChatCreateCompletionParams.Message.builder()
        .content("You are a friendly chatbot.")
        .role(ChatCreateCompletionParams.Message.Role.SYSTEM)
        .build())
    .addMessage(ChatCreateCompletionParams.Message.builder()
        .content("Hello, world!")
        .role(ChatCreateCompletionParams.Message.Role.USER)
        .build())
    .build();
ChatCreateCompletionResponse response = client.ai().chat().createCompletion(params);
```

## List conversations

Retrieve a list of all AI conversations configured by the user. Supports [PostgREST-style query parameters](https://postgrest.org/en/stable/api.html#horizontal-filtering-rows) for filtering. Examples are included for the standard metadata fields, but you can filter on any field in the metadata JSON object.

`GET /ai/conversations`

```java
import com.telnyx.sdk.models.ai.conversations.ConversationListParams;
import com.telnyx.sdk.models.ai.conversations.ConversationListResponse;

ConversationListResponse conversations = client.ai().conversations().list();
```

Returns: `created_at` (date-time), `id` (uuid), `last_message_at` (date-time), `metadata` (object), `name` (string)

## Create a conversation

Create a new AI Conversation.

`POST /ai/conversations`

Optional: `metadata` (object), `name` (string)

```java
import com.telnyx.sdk.models.ai.conversations.Conversation;
import com.telnyx.sdk.models.ai.conversations.ConversationCreateParams;

Conversation conversation = client.ai().conversations().create();
```

Returns: `created_at` (date-time), `id` (uuid), `last_message_at` (date-time), `metadata` (object), `name` (string)

## Get Insight Template Groups

Get all insight groups

`GET /ai/conversations/insight-groups`

```java
import com.telnyx.sdk.models.ai.conversations.insightgroups.InsightGroupRetrieveInsightGroupsPage;
import com.telnyx.sdk.models.ai.conversations.insightgroups.InsightGroupRetrieveInsightGroupsParams;

InsightGroupRetrieveInsightGroupsPage page = client.ai().conversations().insightGroups().retrieveInsightGroups();
```

Returns: `created_at` (date-time), `description` (string), `id` (uuid), `insights` (array[object]), `name` (string), `webhook` (string)

## Create Insight Template Group

Create a new insight group

`POST /ai/conversations/insight-groups` — Required: `name`

Optional: `description` (string), `webhook` (string)

```java
import com.telnyx.sdk.models.ai.conversations.insightgroups.InsightGroupInsightGroupsParams;
import com.telnyx.sdk.models.ai.conversations.insightgr