telnyx-ai-inference-go

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

# Telnyx Ai Inference - Go

## Installation

```bash
go get github.com/team-telnyx/telnyx-go
```

## Setup

```go
import (
  "context"
  "fmt"
  "os"

  "github.com/team-telnyx/telnyx-go"
  "github.com/team-telnyx/telnyx-go/option"
)

client := telnyx.NewClient(
  option.WithAPIKey(os.Getenv("TELNYX_API_KEY")),
)
```

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:

```go
import "errors"

result, err := client.Messages.Send(ctx, params)
if err != nil {
  var apiErr *telnyx.Error
  if errors.As(err, &apiErr) {
    switch apiErr.StatusCode {
    case 422:
      fmt.Println("Validation error — check required fields and formats")
    case 429:
      // Rate limited — wait and retry with exponential backoff
      fmt.Println("Rate limited, retrying...")
    default:
      fmt.Printf("API error %d: %s\n", apiErr.StatusCode, apiErr.Error())
    }
  } else {
    fmt.Println("Network error — check connectivity and retry")
  }
}
```

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:** Use `ListAutoPaging()` for automatic iteration: `iter := client.Resource.ListAutoPaging(ctx, params); for iter.Next() { item := iter.Current() }`.

## 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`

```go
	response, err := client.AI.Audio.Transcribe(context.Background(), telnyx.AIAudioTranscribeParams{
		Model: telnyx.AIAudioTranscribeParamsModelDistilWhisperDistilLargeV2,
	})
	if err != nil {
		log.Fatal(err)
	}
	fmt.Printf("%+v\n", response.Text)
```

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)

```go
	response, err := client.AI.Chat.NewCompletion(context.Background(), telnyx.AIChatNewCompletionParams{
		Messages: []telnyx.AIChatNewCompletionParamsMessage{{
			Role: "system",
			Content: telnyx.AIChatNewCompletionParamsMessageContentUnion{
				OfString: telnyx.String("You are a friendly chatbot."),
			},
		}, {
			Role: "user",
			Content: telnyx.AIChatNewCompletionParamsMessageContentUnion{
				OfString: telnyx.String("Hello, world!"),
			},
		}},
	})
	if err != nil {
		log.Fatal(err)
	}
	fmt.Printf("%+v\n", response)
```

## 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`

```go
	conversations, err := client.AI.Conversations.List(context.Background(), telnyx.AIConversationListParams{})
	if err != nil {
		log.Fatal(err)
	}
	fmt.Printf("%+v\n", conversations.Data)
```

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)

```go
	conversation, err := client.AI.Conversations.New(context.Background(), telnyx.AIConversationNewParams{})
	if err != nil {
		log.Fatal(err)
	}
	fmt.Printf("%+v\n", conversation.ID)
```

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`

```go
	page, err := client.AI.Conversations.InsightGroups.GetInsightGroups(context.Background(), telnyx.AIConversationInsightGroupGetInsightGroupsParams{})
	if err != nil {
		log.Fatal(err)
	}
	fmt.Printf("%+v\n", page)
```

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)

```go
	insightTemplateGroupDetail, err := client.AI.Conversations.InsightGroups.InsightGroups(context.Background(), telnyx.AIConversationInsightGroupInsightGroupsParams{
		Name: "my-resource",
	})
	if err != nil {
		log.Fatal(err)
	}
	fmt.Printf("%+v\n", insightTemplateGroupDetail.Data)
```

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

## Get Insight Template Group

Get insight group by ID

`GET /ai/conversations/insight-groups/{group_id}`

```go
	insightTemplateGroupDetail, err := client.AI.Conversations.InsightGroups.Get(context.Backg