Building AI voice agents used to mean juggling multiple providers — one for speech-to-text (STT), another for language models (LLMs), and yet another for text-to-speech (TTS). Each came with separate API keys, dashboards, billing, quotas, integration headaches, and failure points. The result? Powerful systems but slow to build, hard to maintain, and painful to scale.
Today, that complexity is no longer necessary.
With Inferencing in VideoSDK AI Voice Agents, you don’t need three different API keys or vendor accounts. Everything STT, LLM, TTS, and realtime models runs through a single unified platform, directly inside your voice pipeline using the Agent Runtime Dashboard and Python Agents SDK.
Inferencing works seamlessly with both the CascadingPipeline and the RealtimePipeline, giving you the flexibility to build modular, staged agents or fully streaming, low-latency voice experiences. Whether you need incremental transcripts, tool-calling workflows, or native realtime audio conversations, VideoSDK lets you do it all — without the API chaos.
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Supported Categories
- STT: Sarvam, Google, Deepgram
- LLMs: Google Gemini
- TTS: Sarvam, Google, Cartesia
- Realtime: Gemini Native Audio
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