Trugen AI

Build, configure, and deploy conversational video agents using the Trugen AI platform API. Use this skill when the user wants to create AI video avatars, manage knowledge bases, set up webhooks/callbacks, embed agents into websites, integrate with LiveKit, configure tools or MCPs, set up multilingual agents, or bring their own LLM to Trugen AI.

3,891 stars

Best use case

Trugen AI is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Build, configure, and deploy conversational video agents using the Trugen AI platform API. Use this skill when the user wants to create AI video avatars, manage knowledge bases, set up webhooks/callbacks, embed agents into websites, integrate with LiveKit, configure tools or MCPs, set up multilingual agents, or bring their own LLM to Trugen AI.

Teams using Trugen AI should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/trugenai/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/ajayk47/trugenai/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/trugenai/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Trugen AI Compares

Feature / AgentTrugen AIStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Build, configure, and deploy conversational video agents using the Trugen AI platform API. Use this skill when the user wants to create AI video avatars, manage knowledge bases, set up webhooks/callbacks, embed agents into websites, integrate with LiveKit, configure tools or MCPs, set up multilingual agents, or bring their own LLM to Trugen AI.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Trugen AI

Build real-time conversational video agents — AI-powered avatars that see, hear, speak, and reason with users in under 1 second of latency.

| | |
|---|---|
| **API Base URL** | `https://api.trugen.ai` |
| **Authentication** | `x-api-key: <your-api-key>` header on all requests |
| **Official Docs** | [docs.trugen.ai](https://docs.trugen.ai/docs/overview) |
| **Developer Portal** | [app.trugen.ai](https://app.trugen.ai) |

## Required Credentials

| Variable | Description | Where to Get |
|----------|-------------|--------------|
| `TRUGEN_API_KEY` | Primary API key for all Trugen API calls (sent as `x-api-key` header) | [Developer Portal](https://app.trugen.ai) |
| `TRUGEN_AVATAR_ID` | (Optional) Default avatar ID for LiveKit integration | [Developer Portal](https://app.trugen.ai) |

> **Security**: Never expose `TRUGEN_API_KEY` in client-side code. For widget/iFrame embeds, use a server-side proxy to keep keys secret. See [references/embedding.md](references/embedding.md) for details.

## Platform Pipeline

| Step | Component | Function |
|------|-----------|----------|
| 1 | **WebRTC** | Bidirectional audio/video streaming |
| 2 | **STT** (Deepgram) | Streaming speech-to-text |
| 3 | **Turn Detection** | Natural conversation boundary detection |
| 4 | **LLM** (OpenAI, Groq, custom) | Contextual response generation |
| 5 | **Knowledge Base** | Grounding answers in your data |
| 6 | **TTS** (ElevenLabs) | Natural, expressive speech synthesis |
| 7 | **Huma-01** | Neural avatar video generation with lip sync & microexpressions |

## Quickstart

1. Create an agent → `POST /v1/ext/agent` — see [references/agents.md](references/agents.md)
2. Embed via iFrame or Widget — see [references/embedding.md](references/embedding.md)

## API Endpoints Overview

| Resource | Endpoints | Reference |
|----------|-----------|-----------|
| **Agents** | Create, Get, List, Update, Delete, Create from Template | [agents.md](references/agents.md) |
| **Knowledge Base** | Create KB, Add Docs, Get, List, Update, Delete KB/Doc | [knowledge-base.md](references/knowledge-base.md) |
| **Templates** | Create, Get, List, Update, Delete persona templates | [templates.md](references/templates.md) |
| **Tools & MCPs** | Create/manage function-calling tools and MCP servers | [tools-and-mcps.md](references/tools-and-mcps.md) |
| **Webhooks** | Callback events, payload format, handler examples | [webhooks.md](references/webhooks.md) |
| **Embedding** | iFrame, Widget, LiveKit integration + avatar IDs | [embedding.md](references/embedding.md) |
| **Providers/Avatars** | Available LLMs, STT, TTS, avatars, languages, BYO-LLM | [providers-avatars-languages.md](references/providers-avatars-languages.md) |
| **Prompting** | Voice prompt strategies, guardrails, use case examples | [prompting-and-use-cases.md](references/prompting-and-use-cases.md) |

## Conversations

Retrieve transcripts for completed sessions:

`GET /v1/ext/conversation/{id}` — Returns agent_id, status, transcript array, recording_url.

## Workflow Guide

Determine what the user needs, then load the appropriate reference:

| Task | Reference File |
|------|---------------|
| Creating/managing agents | [agents.md](references/agents.md) |
| Attaching data/documents | [knowledge-base.md](references/knowledge-base.md) |
| Reusing personas across agents | [templates.md](references/templates.md) |
| Calling external APIs from agent | [tools-and-mcps.md](references/tools-and-mcps.md) |
| Reacting to conversation events | [webhooks.md](references/webhooks.md) |
| Embedding agent in website | [embedding.md](references/embedding.md) |
| Choosing LLM/voice/language | [providers-avatars-languages.md](references/providers-avatars-languages.md) |
| Writing effective prompts | [prompting-and-use-cases.md](references/prompting-and-use-cases.md) |

## Developer Resources

| Resource | Link |
|----------|------|
| Documentation | [docs.trugen.ai](https://docs.trugen.ai/docs/overview) |
| API Reference | [docs.trugen.ai/api-reference](https://docs.trugen.ai/api-reference/overview) |
| Developer Portal | [app.trugen.ai](https://app.trugen.ai) |
| Community Discord | [discord.gg/4dqc8A66FJ](https://discord.gg/4dqc8A66FJ) |
| Support | support@trugen.ai |
| GitHub Examples | [trugenai/trugen-examples](https://github.com/trugenai/trugen-examples) |
| Changelog | [docs.trugen.ai/changelog](https://docs.trugen.ai/docs/changelog) |

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