telnyx-ai-assistants-c…
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
Access Telnyx LLM inference APIs, embeddings, and AI analytics for call insights and summaries. This skill provides Go SDK examples.
Claude Code
$ npx -y skills add team-telnyx/ai --skill telnyx-ai-inference-go --agent claude-code
Codex
$ npx skills add team-telnyx/ai --skill telnyx-ai-inference-go -a codex -y
Cursor
$ npx skills add team-telnyx/ai --skill telnyx-ai-inference-go -a cursor -y
Gemini CLI
$ npx skills add team-telnyx/ai --skill telnyx-ai-inference-go -a gemini-cli -y
GitHub Copilot
$ npx skills add team-telnyx/ai --skill telnyx-ai-inference-go -a github-copilot -y
OpenCode
$ npx skills add team-telnyx/ai --skill telnyx-ai-inference-go -a opencode -y
Windsurf
$ npx skills add team-telnyx/ai --skill telnyx-ai-inference-go -a windsurf -y
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. -->
go get github.com/team-telnyx/telnyx-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")),
option.WithPublicKey(os.Getenv("TELNYX_PUBLIC_KEY")), // Required for client.Webhooks.Unwrap (webhook verification)
)All examples below assume `client` is already initialized as shown above.
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, then retry the request (bounded 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")
}
return err // Propagate: a failed request must never look like success to the caller
}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).
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])
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)
Creates a new AI conversation, the container for messages exchanged with an assistant, and returns the created 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 by specified fields
`GET /ai/conversations/conversation-insights/aggregates`
response, err := client.AI.Conversations.ConversationInsights.GetAggregates(context.Background())
if err != nil {
log.Fatal(err)
}
fmt.Printf("%+v\n", response.Data)Returns: `record_count` (integer)
Returns a paginated list of your insight template groups. Groups organize related insight templates that are applied together when analyzing conversations.
`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]), `name` (string), `webhook` (string)
Creates a new insight template group for organizing related insight templates, and returns the created group.
`POST /ai/conversations/insight-groups` — Required: `name`
Optional: `description` (string), `webhook` (string)
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)
Returns the details of a single insight template group, including the insight templates assigned to it.
`GET /ai/conversations/insight-groups/{group_id}`
insightTemplateGroupDetail, err := client.AI.Conversations.InsightGroups.Get(context.Background(), "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e")
if err != nil {
log.Fatal(err)
}
fmt.Printf("%+v\n", iThis repo is the one-stop shop for AI Agents and AI-first developers building with Telnyx — everything an agent needs to build production-grade applications and manage its account, from signup to funding.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
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