trugen.ai valid
TruGen AI
TruGen AI is a platform for building and deploying real-time conversational video agents. Agents are powered by a family of proprietary foundation models: Huma-1 and Huma-2 (expressive avatar rendering, with Huma-2 delivering sub-500ms end-to-end latency) and Hawkeye-1 (vision-based action recognition), and deliver end-to-end responses in under one second. The platform exposes a REST API for programmatic agent management and supports iframe/SDK embedding for frontend integration.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T18:56:28.489Z. Cached copy · Source on trugen.ai
# TruGen AI
> TruGen AI is a platform for building and deploying real-time conversational video agents. Agents are powered by a family of proprietary foundation models: Huma-1 and Huma-2 (expressive avatar rendering, with Huma-2 delivering sub-500ms end-to-end latency) and Hawkeye-1 (vision-based action recognition), and deliver end-to-end responses in under one second. The platform exposes a REST API for programmatic agent management and supports iframe/SDK embedding for frontend integration.
> Agent capability summary (what you can build and how): https://docs.trugen.ai/skill.md
## Getting Started
- [Platform Overview](https://docs.trugen.ai/docs/overview): Introduction to TruGen, core capabilities, performance benchmarks, and foundation models.
- [Quickstart](https://docs.trugen.ai/docs/quickstart): Create your first conversational video agent via API and embed it with an iframe in minutes.
## Models
- [Models Overview](https://docs.trugen.ai/docs/models/overview): The Huma family of proprietary avatar-rendering models that power TruGen's real-time video agents.
- [Huma-2](https://docs.trugen.ai/docs/models/huma-2): How TruGen built a real-time avatar with sub-500ms latency: a full speech-to-animation pipeline built on Gaussian Splatting.
- [Huma-1](https://docs.trugen.ai/docs/models/huma-1): TruGen's first avatar model to combine full-face rendering with real-time emotional control, powered by Gaussian Avatars.
- [Hawkeye-1](https://docs.trugen.ai/docs/models/hawkeye-1): TruGen's Vision Action Recognition Model: the perception layer that gives agents the ability to see, hear, and understand humans in context.
## Managed Agents
- [Conversational Video Agents](https://docs.trugen.ai/docs/agents/conversational-video-agents): Architecture and features of real-time video agents: speech recognition, vision perception, tool calling, persona templates, and iframe integration.
- [Realtime Pipeline](https://docs.trugen.ai/docs/agents/pipeline): End-to-end pipeline walkthrough: WebRTC → STT → Turn Detection → LLM → Knowledge Base → TTS → Huma-2 avatar rendering.
- [Persona Templates](https://docs.trugen.ai/docs/agents/templates): Reusable blueprints defining system prompt, entry/exit messages, knowledge bindings, idle timeout, and behavior rules.
- [Knowledge Base](https://docs.trugen.ai/docs/agents/knowledge/overview): Attach documents, URLs, or text to ground agent responses. Supports both Agentic RAG and Traditional RAG modes.
- [Guardrails](https://docs.trugen.ai/docs/agents/guardrails/overview): Safety-check rules an agent's LLM can call mid-conversation, with a canned response, a moderation check, and an optional trigger webhook.
- [Vision Understanding](https://docs.trugen.ai/docs/agents/vision/overview): Real-time video analysis for monitoring, proctoring, and engagement tracking, powered by Hawkeye-1.
- [Agent Widget](https://docs.trugen.ai/docs/agents/widget): The React component or iframe that renders your agent inside any web app.
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