From beec9607136e7c3aaa1793782a3977a56806a8b0 Mon Sep 17 00:00:00 2001 From: Stephen DeRosa Date: Thu, 17 Sep 2026 09:13:47 -0600 Subject: [PATCH] README: trim AGENTS_INFO --- README.md | 33 +-------------------------------- 1 file changed, 1 insertion(+), 32 deletions(-) diff --git a/README.md b/README.md index 5cbe9752..dbd68fd2 100644 --- a/README.md +++ b/README.md @@ -23,40 +23,9 @@ Use this SDK to add realtime video, audio and data features to your C++ app. By [![Nightly Tests](https://github.com/livekit/client-sdk-cpp/actions/workflows/nightly.yml/badge.svg?branch=main&event=schedule)](https://github.com/livekit/client-sdk-cpp/actions/workflows/nightly.yml) [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LICENSE) - > [!IMPORTANT] > If you're building Voice AI, [LiveKit Agents](https://github.com/livekit/agents) is the SDK for code-first realtime voice agents. STT, LLM, TTS, turn detection, [expressive speech](https://docs.livekit.io/agents/models/tts/expressive/), [keyterm accuracy](https://docs.livekit.io/agents/models/stt/keyterms/), tool usage, and telephony all come bundled in the framework. It's available in both [Python](https://github.com/livekit/agents) and [Node.js](https://github.com/livekit/agents-js). -> -> ```python -> # agent.py -> from livekit import agents -> from livekit.agents import Agent, AgentServer, AgentSession, STTContextOptions, TurnHandlingOptions, inference -> -> server = AgentServer() -> -> -> @server.rtc_session(agent_name="my-agent") -> async def my_agent(ctx: agents.JobContext): -> session = AgentSession( -> stt=inference.STT(model="deepgram/nova-3", language="multi"), -> llm=inference.LLM(model="google/gemma-4-31b-it"), -> tts=inference.TTS(model="inworld/inworld-tts-2", voice="Ashley"), -> turn_handling=TurnHandlingOptions(turn_detection=inference.TurnDetector()), -> stt_context_options=STTContextOptions(keyterms=["LiveKit", "Acme Corp"]), -> expressive=True, -> ) -> await session.start(room=ctx.room, agent=Agent(instructions="You are a helpful voice AI assistant.")) -> await session.generate_reply(instructions="Greet the user and offer your assistance.") -> -> -> if __name__ == "__main__": -> agents.cli.run_app(server) -> ``` -> -> Models come from [LiveKit Inference](https://docs.livekit.io/agents/models/) with no per-provider API keys, and LiveKit Cloud handles [deployment](https://docs.livekit.io/deploy/agents/) and [observability](https://docs.livekit.io/deploy/observability/). Visit the docs for more info at [docs.livekit.io/agents](https://docs.livekit.io/agents/). -> -> Using a coding agent? Install the LiveKit skill with `npx skills add livekit/agent-skills` and add the docs MCP at `https://docs.livekit.io/mcp/` (see [coding agent support](https://docs.livekit.io/intro/coding-agents/)). - +> See the [LiveKit Agents docs](https://docs.livekit.io/agents/) for more information! ## Docs