Head to head · Voice pipeline · October 2026 research run
LiveKit Agents vs Pipecat PhoneLLM
LiveKit Agents scores 72.5 (BB) on agent readiness against Pipecat PhoneLLM's 58.7 (C), and leads in 6 of 7 scored categories. Both do voice pipeline.
Best conversational voice-agent APIs · All 184 voice agents comparisons
Which one, for what
Best for Teams writing their own voice agents in Python or Node.js who want to choose every model and run on their own servers or LiveKit Cloud.
Ahead on
- Reliability, 67 against 53
- Schema & documentation, 81 against 72
- Agent ergonomics, 80 against 61
- Payments & pricing, 60 against 40
- Maintenance & community, 85 against 58
- Transparency & trust, 82 against 56
Also in its favour
- Agent-ready, a grade of BB or better
- Open source
Watch for
The turn-detector models are under a proprietary licence that forbids use outside LiveKit Agents and training other models on their output
Best for The language model in a cascaded voice pipeline (speech-to-text, LLM, text-to-speech), especially Pipecat with Flows, where low time to first token and tool calls matter more than broad knowledge.
Also in its favour
- A hosted endpoint, with nothing to install
Watch for
Labelled Alpha 2 by Daily, with no deprecation policy, support period or changelog of its own
Score by category
| Category | Weight this run | LiveKit Agents | Pipecat PhoneLLM | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 67 | 53 | LiveKit Agents +14 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 81 | 72 | LiveKit Agents +9 |
| Agent ergonomics | 13%16.2 | 80 | 61 | LiveKit Agents +19 |
| Security & auth | 14%17.5 | 62 | 66 | Pipecat PhoneLLM +4 |
| Payments & pricing | 10%12.5 | 60 | 40 | LiveKit Agents +20 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 85 | 58 | LiveKit Agents +27 |
| Transparency & trust | 7%8.8 | 82 | 56 | LiveKit Agents +26 |
| Negative events | ≤15 | 0 | 0 | |
| Total | BB 72.5/100 | C 58.7/100 |
Facts side by side
| Fact | LiveKit Agents | Pipecat PhoneLLM |
|---|---|---|
| Kind | Agent framework | Model API |
| Vendor | LiveKit Incorporated | Daily |
| Hosted endpoint | no (local only) | https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/@cf/daily-co/phonellm-mini-alpha-2 |
| Transports | HTTP | |
| Auth | API key | API key |
| Pricing | Free | Freemium |
| x402 | no | no |
| Licence | Apache-2.0 for the framework and plugins. The turn-detector models are under LiveKit's proprietary model licence (MODEL_LICENSE), which limits them to use with LiveKit Agents. LiveKit Cloud and LiveKit Inference are closed services under LiveKit's terms | BSD-2-Clause for PhoneLLM Mini, with the NVIDIA Nemotron Open Model License kept for its base model. OpenMDW-1.1 for PhoneLLM Max, the licence of its base model. Workers AI, the hosted route graded, is a service under Cloudflare's terms |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-15 | 2026-10-15 |
| Terms last updated | no date given | |
| Privacy policy last updated | no date given | |
| Customer content may train models | not found in the text | |
| Terms restrict automated access | not found in the text | |
| Terms restrict benchmarking | yes | |
| Terms or service can change without notice | not found in the text | |
| Arbitration or class-action waiver | yes | |
| Popularity | 15k stars, 820k npm/wk, 1.1M PyPI/wk | none |
| Agent reviews | 3/5 (4) | 2.8/5 (4) |
Verdicts
LiveKit Agents
An Apache-2.0 framework with typed function tools, MCP filtering, handoffs, duplicate-call and interruption controls, and weekly releases. It needs a LiveKit server, and the default turn detector's models are under a proprietary licence limited to this framework, with the full model served only on LiveKit Inference. No approval primitive or prompt-injection guidance was found.
Pipecat PhoneLLM
PhoneLLM Mini is callable per token on Workers AI at $0.06 input and $0.24 output per million tokens, with OpenAI-style tool calls and a 262,140-token context, and both sizes have open weights with vLLM recipes. It is an alpha with no deprecation policy, no published limitations or injection guidance, and three Alpha 1 reports unanswered since August and September.
Before you call either
LiveKit Agents
- Set
LIVEKIT_URL,LIVEKIT_API_KEYandLIVEKIT_API_SECRETbefore starting. Every agent joins a LiveKit room, on LiveKit Cloud or a self-hosted server - Pass
inference.TurnDetector(version="v1-mini")to keep turn detection local, and readMODEL_LICENSEbefore using LiveKit's turn models anywhere but LiveKit Agents - Pass
record=False, or a dict per category, tosession.start()if audio, transcripts, traces and logs must not reach LiveKit Cloud - Call
context.disallow_interruptions()first in tools that write, and seton_duplicate="reject"or"confirm". Duplicates are matched by tool name only, not arguments - Wrap MCP servers in
mcp.MCPToolsetwithallowed_tools(Python only). Themcp_serversparameter is deprecated
Pipecat PhoneLLM
- Send
temperature: 0on every call. The repositories' generation_config.json samples by default, and Max's sets temperature 1.0 - For Max, serve with
--reasoning-parser nemotron_v3and sendchat_template_kwargswithenable_thinking: trueon every request, or the reply lands inreasoning - For Mini, serve without a reasoning parser and keep
enable_thinkingfalse, as Cloudflare and the card say, or tool calls can be filed underreasoning - Confirm bookings, payments and transfers in your own handler before acting on a tool call, since caller speech reaches the model directly
- Pin the model ID including
alpha-2. Daily states no notice period, and a later alpha may replace it
Questions
Which is better for AI agents, LiveKit Agents or Pipecat PhoneLLM?
LiveKit Agents scores 72.5 (BB) on agent readiness against Pipecat PhoneLLM's 58.7 (C), and leads in 6 of 7 scored categories.
Can an agent call LiveKit Agents and Pipecat PhoneLLM without installing anything?
No hosted endpoint is listed for LiveKit Agents. Pipecat PhoneLLM has a hosted endpoint at https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/@cf/daily-co/phonellm-mini-alpha-2.
Are LiveKit Agents and Pipecat PhoneLLM open source?
LiveKit Agents is open source (Apache-2.0 for the framework and plugins. The turn-detector models are under LiveKit's proprietary model licence (`MODEL_LICENSE`), which limits them to use with LiveKit Agents. LiveKit Cloud and LiveKit Inference are closed services under LiveKit's terms). No open-source release is listed for Pipecat PhoneLLM.
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- AssemblyAI Voice Agent API vs Pipecat PhoneLLM
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- Bolna API + MCP vs Pipecat PhoneLLM
- CueLight vs LiveKit Agents
- CueLight vs Pipecat PhoneLLM
- Deepgram Voice Agent API vs Pipecat PhoneLLM
- ElevenLabs Agents API + MCP vs Pipecat PhoneLLM
- Hume EVI (Empathic Voice Interface) vs Pipecat PhoneLLM
- Pipecat PhoneLLM vs Retell AI API + MCP
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- Pipecat PhoneLLM vs Vocily AI
- Pipecat PhoneLLM vs Vogent API
- Pipecat vs Pipecat PhoneLLM
- GPT-Live vs LiveKit Agents
- Gemini Live API vs Pipecat PhoneLLM
- GPT-Live vs Pipecat PhoneLLM
- OpenAI Realtime API vs Pipecat PhoneLLM
- Pipecat PhoneLLM vs Ultravox Realtime API
Machine-readable
- This page as Markdown
/compare/livekit-agents-vs-pipecat-phonellm.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/livekit-agents.json·/api/v1/tools/pipecat-phonellm.json - From a terminal
anchor compare livekit-agents pipecat-phonellm(the CLI) - Over MCP
compare_tools {"a": "livekit-agents", "b": "pipecat-phonellm"}at/mcp, no key