LiveKit Agents vs Together AI
Side-by-side trajectory, velocity, and editorial themes.
LiveKit Agents added Answering Machine Detection — voice agents are becoming a serious telephony runtime.
LiveKit Agents is releasing roughly twice a week along the 1.5.x line, accumulating telephony-grade primitives around its voice loop. The headline is Answering Machine Detection in 1.5.9 — an LLM-classified detector for what kind of endpoint an outbound call hit. Surrounding work is split between reliability (barge-in cooldown, interruption guards, preemptive-generation tuning, observability retries) and provider breadth (Perplexity Responses, Soniox, Speechmatics, Cerebras, xAI, Rime WebSocket TTS). The mcp_servers parameter was also deprecated on Agent and AgentSession.
The product is converging on a real contact-center runtime, not just a realtime meeting agent. AMD, warm transfer, DTMF handling, recording retries, and avatar join/playback metrics are the feature surface phone deployments demand. The provider plugin universe keeps widening; LiveKit positions itself as the neutral broker between voice models and the actual network. Internal cleanups (mcp_servers deprecation, instruction parts, AvatarSession base class) suggest a tidying pass before a 1.6 cut.
Expect more telephony primitives — supervisor barge-in, richer DTMF flows, call-recording controls — and a unified MCP configuration surface across Agent and Session as the mcp_servers deprecation lands fully.
Together AI is pricing itself as the open-stack alternative to frontier coding-agent APIs.
Together is hammering on two things: (a) inference economics, with a benchmark claiming 76% lower cost than Claude Opus 4.6 on coding-agent workloads, and (b) breadth of model surface, evidenced by day-0 Nemotron 3 Nano Omni, DeepSeek-V4 Pro at 512K context, and Goose-driven 'deploy any HuggingFace model' tooling. Side outputs — a voice finder, the Violin video-translation tool, and a Pearl Research Labs crypto-inference partnership — broaden the developer surface without changing the core narrative.
Together is positioning to be the default API for teams running coding agents on open models, with explicit price/perf comparisons against closed labs. The pattern of day-0 launches plus dedicated container offerings makes the strategy clear: any open frontier model should be one click away on Together. Crypto-adjacent and partnership work (Pearl, Adaption) reads as experimentation rather than core roadmap.
Expect more cost-comparison content against named frontier APIs and a tighter coding-agent SKU (likely a benchmark-grounded preset for Cursor/Aider-style workloads). Day-0 launch cadence will continue as the differentiator versus AWS Bedrock and other neoclouds.
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