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The LLM is the reasoning engine behind every AI Teammate. When a user speaks, their words are transcribed by the STT engine and passed to the LLM, which generates the response that the TTS engine then speaks aloud. Choosing the right model affects response quality, latency, and cost. TruGen supports a range of models across multiple providers, so you can optimise for speed, quality, cost, or compliance depending on your use case.
You can also connect your own LLM: see Bring Your Own LLM. Use the /v1/providers endpoint to always fetch the latest available model list.

Groq

Ultra-low latency inference. Best for real-time conversational agents where response speed and throughput are top priorities.

OpenAI

High-performance models for agentic and multimodal workflows.

Google

Gemini and Gemma models optimized for reasoning, communication, and efficiency.

Kimi

Advanced multimodal models designed for autonomous agents.

Choosing a Model

What’s Next?

Bring Your Own LLM

Connect a self-hosted, fine-tuned, or third-party LLM to your agents.

Prompting Strategies

Write system prompts that get the best out of any model.

Providers

See all STT, LLM, and TTS providers available on TruGen.