/telnyx-ai-inference-go

name: telnyx-ai-inference-go
description: >-
  Access Telnyx LLM inference APIs, embeddings, and AI analytics for call
  insights and summaries. This skill provides Go SDK examples.
metadata:
  author: telnyx
  product: ai-inference
  language: go
  generated_by: telnyx-openapi-pipeline

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

Telnyx Ai Inference - Go

Installation

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

Setup

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:

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`

	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), `words` (array[object])

Create a chat completion

**Deprecated**: Use `POST /v2/ai/openai/chat/completions` instead. 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), `seed` (integer), `stop` (object), `stream` (boolean), `temperature` (number), `tool_choice` (enum: none, auto, required), `tools` (array[object]), `top_logprobs` (integer), `top_p` (number), `use_beam_search` (boolean)

	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`

	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)

	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)

Aggregate Conversation Insights

Aggregate conversation insights by specified fields

`GET /ai/conversations/conversation-insights/aggregates`

	response, err := client.AI.Conversations.ConversationInsights.Aggregate(context.Background(), telnyx.AIConversationConversationInsightAggregateParams{})
	if err != nil {
		log.Fatal(err)
	}
	fmt.Printf("%+v\n", response.Data)

Returns: `record_count` (integer)

Get Insight Template Groups

Get all insight groups

`GET /ai/conversations/insight-groups`

	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]), `nam