telnyx-ai-inference-go

Provide Go SDK examples for Telnyx AI inference APIs.

3|2|Updated Feb 10, 2026
One-click install
npx skills add https://github.com/team-telnyx/telnyx-toolkit --skill telnyx-ai-inference-go
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: telnyx-ai-inference-go
Source: https://github.com/team-telnyx/telnyx-toolkit/tree/main/api/go/telnyx-ai-inference-go
Command: npx skills add https://github.com/team-telnyx/telnyx-toolkit --skill telnyx-ai-inference-go

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill simplifies the integration of advanced AI capabilities, such as Large Language Models (LLMs), embeddings, and AI analytics, directly into Go applications.

Core Features & Use Cases

  • LLM Inference: Interact with Telnyx's LLM inference APIs for tasks like chat completions and summarization.
  • Embeddings: Generate embeddings for documents and URLs, and perform similarity searches.
  • AI Analytics: Utilize AI for call insights and summaries.
  • Use Case: A developer can use this skill to build a Go application that analyzes call transcripts for sentiment, generates summaries, and answers user queries based on the content.

Quick Start

Use the telnyx-ai-inference-go skill to list AI conversations by running client.AI.Conversations.List(context.TODO(), telnyx.AIConversationListParams{}).

Frequently Asked Questions about telnyx-ai-inference-go

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate LLM chat completions into a Go application?

You can integrate LLM chat completions into a Go application by using the Telnyx AI inference APIs, which provide SDK examples for programmatic access to chat completions and summarization tasks directly in Go.

Can I generate embeddings for documents and perform similarity searches in Go?

Yes, you can generate embeddings for documents and URLs in Go and perform similarity searches by interacting with the Telnyx AI inference APIs provided by this SDK.

What is the best way to analyze call transcripts for sentiment and summaries using AI in Go?

The best way to analyze call transcripts for sentiment and summaries in Go is to utilize Telnyx AI analytics APIs, which provide AI-driven call insights and summarization capabilities for your applications.

Does the Telnyx AI inference Go SDK require any external dependencies?

No, the Telnyx AI inference Go SDK does not require any external dependencies, allowing you to directly access LLM inference, embeddings, and AI analytics functionalities without additional package installations.

How do I list AI conversations programmatically using Go?

You list AI conversations programmatically in Go by calling the client's AI conversation list method, such as client.AI.Conversations.List, passing a context and list parameters to retrieve the data.