{ "data": { "a": { "slug": "livekit-agents", "name": "LiveKit Agents", "vendor": "LiveKit Incorporated", "vendorUrl": "https://livekit.com", "kind": "framework", "category": "voice-agents", "summary": "LiveKit Agents is LiveKit's open-source Python and Node.js framework for realtime voice and video agents that join LiveKit rooms, with STT, LLM, TTS and realtime-model plugins, turn detection, MCP tools and telephony through LiveKit SIP.", "url": "https://www.anchorterminal.com/tools/livekit-agents", "markdownUrl": "https://www.anchorterminal.com/tools/livekit-agents.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/livekit-agents.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/livekit-agents.json", "repo": "https://github.com/livekit/agents", "license": "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", "transports": [], "packages": [ { "registry": "pypi", "name": "livekit-agents" }, { "registry": "npm", "name": "@livekit/agents" } ], "auth": "api-key", "authNotes": "The agent server connects to a LiveKit server with `LIVEKIT_URL`, `LIVEKIT_API_KEY` and `LIVEKIT_API_SECRET`. The key and secret sign JWT access tokens with room grants and a lifetime the issuer sets. Model plugins take each provider's own key, or LiveKit Inference uses the LiveKit Cloud project's key and secret. A self-hosted LiveKit server needs no LiveKit account, and a LiveKit Cloud project needs a browser sign-up.", "pricing": "free", "pricingNotes": "The framework is free under Apache-2.0, and you pay for models and for hosting. LiveKit Cloud's Build plan is $0 with no card, with 1,000 agent session minutes, 5 concurrent sessions and $2.50 of LiveKit Inference credit, as a hard cap. Ship starts at $50 a month and Scale at $500, with agent session minutes at $0.01 past the allowance and LiveKit Inference models billed per minute, per character or per token (https://livekit.com/pricing.md, checked 2026-10-17).", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the repository source, the docs (llms-full.txt) or the pricing page, checked 2026-10-17.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 14719, "npmWeekly": 819555, "pypiWeekly": 1055589, "asOf": "2026-10-17" }, "docsUrl": "https://docs.livekit.io/agents/", "llmsTxt": "https://docs.livekit.io/llms.txt", "capabilities": [ "voice.agent", "voice.pipeline", "voice.speech-to-speech", "voice.tools", "voice.telephony", "agent.mcp-client", "agent.multi-agent" ], "tags": [ "framework", "official", "python", "typescript", "open-source", "apache-2.0", "self-hosted", "llms-txt", "pipeline", "speech-to-speech", "webrtc", "sip", "no-card" ], "lastRelease": "2026-10-15", "graded": true, "anchor": { "graded": true, "score": 72.5, "grade": "BB", "agentReady": true, "rank": 104, "ranked": true, "rankOf": 1133, "categoryRank": 1, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 85, "payments": 60, "reliability": 67, "schema": 81, "security": 62, "transparency": 82 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-17" }, "negative": 0, "verdict": "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.", "bestFor": "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.", "strengths": [ "Apache-2.0 Python and Node.js packages, with 17 Python releases in the 90 days to 15 October 2026", "MCP client with `allowed_tools`, `filter_tools()` and `tool_result_resolver` to limit tools and trim results (Python only)", "Voice-specific tool controls. `disallow_interruptions()`, four `on_duplicate` modes, and interrupted tools keep their result so the model doesn't call them again", "79 provider plugin packages, or LiveKit Inference model strings with one LiveKit key and zero data retention under LiveKit's terms", "Runs entirely self-hosted, with the local `v1-mini` turn detector and no LiveKit account" ], "weaknesses": [ "The turn-detector models are under a proprietary licence that forbids use outside LiveKit Agents and training other models on their output", "No CHANGELOG file, release notes only on GitHub, and 2.0.0b1 on PyPI since 12 October 2026 with no migration guide found", "705 open issues and pull requests per a GitHub mirror, and 41 of the 68 open issues among the latest 100 had no comment", "No built-in approval step for tool calls, and no prompt-injection guidance found in the docs", "In `dev` mode with LiveKit Cloud credentials, the default turn detector streams user audio to LiveKit Inference" ], "agentNotes": [ "Set `LIVEKIT_URL`, `LIVEKIT_API_KEY` and `LIVEKIT_API_SECRET` before 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 read `MODEL_LICENSE` before using LiveKit's turn models anywhere but LiveKit Agents", "Pass `record=False`, or a dict per category, to `session.start()` if audio, transcripts, traces and logs must not reach LiveKit Cloud", "Call `context.disallow_interruptions()` first in tools that write, and set `on_duplicate=\"reject\"` or `\"confirm\"`. Duplicates are matched by tool name only, not arguments", "Wrap MCP servers in `mcp.MCPToolset` with `allowed_tools` (Python only). The `mcp_servers` parameter is deprecated" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 4, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 72.5 } ], "editorialScores": { "ergonomics": 80, "maintenance": 85, "payments": 60, "reliability": 67, "schema": 81, "security": 62, "transparency": 68 }, "provenanceScore": 95 }, "connect": { "install": "pip install \"livekit-agents[openai,deepgram,cartesia]\" # or: npm i @livekit/agents" }, "letme": { "capability": "https://letme.dev/voice.agent", "tool": "https://letme.dev/livekit-agents" }, "sameCompany": [ "livekit-telephony" ], "area": "voice", "unitPrices": [ { "item": "LiveKit Cloud agent session", "unit": "call-minute", "usd": 0.01, "note": "past the Ship or Scale allowance, models and telephony extra" }, { "item": "LiveKit Cloud agent session recording", "unit": "audio-minute", "usd": 0.005, "note": "past the Ship or Scale allowance" }, { "item": "LiveKit Cloud Ship plan", "unit": "month", "usd": 50, "note": "starting price" }, { "item": "LiveKit Cloud Scale plan", "unit": "month", "usd": 500, "note": "starting price" } ], "provenance": { "legalEntity": "LiveKit Incorporated", "domain": "livekit.com", "domainRegistered": "2000-02-24", "endpointOnVendorDomain": null, "terms": "https://livekit.com/legal/terms-of-service", "privacy": "https://livekit.com/legal/privacy-policy", "statusPage": "https://status.livekit.io", "changelog": "https://github.com/livekit/agents/releases", "securityTxt": "valid", "checked": "2026-10-17", "notes": [ "The framework is Apache-2.0 software the owner runs. The terms (last updated 6 October 2026) govern LiveKit Cloud's Build, Ship and Scale plans, including LiveKit Inference and Agent Observability, between the customer and LiveKit Incorporated of San Francisco.", "The privacy policy (last updated 15 October 2026) covers LiveKit's website and says it does not apply where LiveKit processes data for customers. The sub-processor list is dated 10 September 2026.", "livekit.io answers 308 to livekit.com. RDAP at Verisign gives livekit.com a registration date of 24 February 2000, before the company existed.", "livekit.com/.well-known/security.txt names a security contact, a PGP key and the disclosure policy at https://livekit.com/security/policy, with no Expires field. The repository has no SECURITY.md.", "No CHANGELOG file in the repository. Release notes are on GitHub releases, which couldn't be read from our session. The status page covers LiveKit Cloud, not the framework.", "WebFetch refused every page in this session, so first-hand pages were read with curl after checking each host's robots.txt. status.livekit.io disallows /api/, so its history page was read instead." ], "score": 95 }, "requirements": { "card": "no", "freeTier": true, "minutes": 10, "credential": "api-key", "hosting": [ "self-hosted" ], "euResidency": "yes", "trainsOnData": "no", "zeroRetention": "yes", "certifications": [ "SOC 2 Type II" ], "dpa": true, "selfHost": "yes" }, "pageJsonUrl": "https://www.anchorterminal.com/tools/livekit-agents.json", "live": { "slug": "livekit-agents", "vendorStatus": { "page": "https://status.livekit.io", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-18T00:08:44.844464506Z" }, "pages": [ { "url": "https://livekit.com/pricing.md", "kind": "pricing", "status": 200, "checkedAt": "2026-10-17T23:05:30.186032003Z", "changedAt": "2026-10-15T21:29:52.209472015Z", "fingerprint": "ca579471fe87" }, { "url": "https://livekit.com/legal/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-17T23:05:25.821555964Z", "changedAt": "2026-10-15T21:29:47.808652564Z", "fingerprint": "34b2795621d7" }, { "url": "https://livekit.com/legal/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-17T23:05:28.023087483Z", "changedAt": "2026-10-15T21:29:50.061909577Z", "fingerprint": "faebb2e03600" } ], "updatedAt": "2026-10-18T00:08:44.844464506Z" } }, "answer": "LiveKit Agents scores 72.5 (BB) on agent readiness against Pipecat PhoneLLM's 58.7 (C), and leads in 6 of 7 scored categories.", "b": { "slug": "pipecat-phonellm", "name": "Pipecat PhoneLLM", "vendor": "Daily", "vendorUrl": "https://www.daily.co/blog/phonellm-alpha-2/", "kind": "model", "category": "voice-agents", "summary": "Pipecat PhoneLLM is Daily's open-weight text model for the language step of phone voice agents, with tool calling. Alpha 2, released 15 October 2026, comes as Mini (30B, on Workers AI) and Max (120B, weights and dedicated endpoints).", "url": "https://www.anchorterminal.com/tools/pipecat-phonellm", "markdownUrl": "https://www.anchorterminal.com/tools/pipecat-phonellm.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/pipecat-phonellm.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/pipecat-phonellm.json", "repo": "https://huggingface.co/pipecat-ai/phonellm-mini-alpha-2", "license": "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", "transports": [ "http" ], "remoteUrl": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/@cf/daily-co/phonellm-mini-alpha-2", "packages": [], "auth": "api-key", "authNotes": "On Workers AI, a Cloudflare API token with Workers AI permission on one account, sent as a Bearer header. Inside a Worker the `AI` binding needs no token. The weights of both sizes download from Hugging Face without an account or approval, and a self-hosted vLLM server has whatever authentication the owner adds. Baseten, Modal and AWS SageMaker each need their own account.", "pricing": "freemium", "pricingNotes": "PhoneLLM Mini costs $0.06 per million input tokens and $0.24 per million output tokens on Workers AI (5,455 and 21,818 neurons), with no cached-input price listed. Workers AI includes 10,000 neurons a day on the Free and Paid Workers plans (https://developers.cloudflare.com/workers-ai/platform/pricing/, read 17 October 2026). Max has no per-token route. It runs on dedicated GPU endpoints at Baseten or Modal, billed for compute, or on the owner's hardware (two B200 or B300 GPUs for BF16, per the card). The weights are free to download.", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "Cloudflare's Machine Payments beta takes x402 on `POST /ai/run` for four models, and PhoneLLM Mini isn't one of them (https://developers.cloudflare.com/ai-gateway/features/machine-payments/, read 17 October 2026). No x402, MPP or L402 on the Daily post or the model cards.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-17" }, "docsUrl": "https://huggingface.co/pipecat-ai/phonellm-mini-alpha-2", "llmsTxt": "https://developers.cloudflare.com/llms.txt", "capabilities": [ "voice.pipeline", "voice.tools", "inference.llm", "inference.open-weights" ], "tags": [ "model", "open-weights", "hosted", "alpha", "new", "free-tier", "no-card", "usage-priced", "llms-txt", "openai-compatible", "telephony", "gpu" ], "lastRelease": "2026-10-15", "graded": true, "anchor": { "graded": true, "score": 58.7, "grade": "C", "agentReady": false, "rank": 629, "ranked": true, "rankOf": 1133, "categoryRank": 12, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 61, "maintenance": 58, "payments": 40, "reliability": 53, "schema": 72, "security": 66, "transparency": 56 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-17" }, "negative": 0, "verdict": "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.", "bestFor": "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.", "strengths": [ "Mini is on Workers AI at $0.06 per million input and $0.24 per million output tokens, inside the 10,000 free neurons a day", "Both sizes are trained for multi-turn tool calling and Pipecat Flows, and take OpenAI-style `tools` and `tool_choice`", "Ungated weights in BF16, FP8 and NVFP4, with vLLM 0.30 recipes measured on B200 GPUs in each card", "Mini is BSD-2-Clause and Max OpenMDW-1.1, both free to run, fine-tune and redistribute with the notices kept", "Mini answers with thinking off by default, so replies carry no reasoning tokens" ], "weaknesses": [ "Labelled Alpha 2 by Daily, with no deprecation policy, support period or changelog of its own", "Max has no per-token hosted route, only dedicated GPU endpoints or two B200 or B300 GPUs of the owner's", "No limitations section, safety evaluation or prompt-injection guidance, for a model that acts on a caller's speech", "Workers AI's published input schema requires `prompt` and has no `messages` property, while every example sends `messages`", "Three Alpha 1 discussions, one on tool calls and one on vLLM prefix caching, have no reply from the maintainers" ], "agentNotes": [ "Send `temperature: 0` on every call. The repositories' generation_config.json samples by default, and Max's sets temperature 1.0", "For Max, serve with `--reasoning-parser nemotron_v3` and send `chat_template_kwargs` with `enable_thinking: true` on every request, or the reply lands in `reasoning`", "For Mini, serve without a reasoning parser and keep `enable_thinking` false, as Cloudflare and the card say, or tool calls can be filed under `reasoning`", "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" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 2.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 58.7 } ], "editorialScores": { "ergonomics": 61, "maintenance": 58, "payments": 40, "reliability": 53, "schema": 72, "security": 66, "transparency": 55 }, "provenanceScore": 57 }, "connect": { "install": "vllm serve pipecat-ai/phonellm-mini-alpha-2 \\\n --served-model-name phonellm-mini-alpha-2 \\\n --trust-remote-code \\\n --dtype bfloat16 \\\n --max-model-len 32768 \\\n --max-num-seqs 256 \\\n --enable-prefix-caching \\\n --async-scheduling \\\n --mamba-ssm-cache-dtype float32 \\\n --enable-auto-tool-choice \\\n --tool-call-parser qwen3_coder", "http": "curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/daily-co/phonellm-mini-alpha-2 \\\n -X POST \\\n -H \"Authorization: Bearer $CLOUDFLARE_AUTH_TOKEN\" \\\n -d '{ \"messages\": [{ \"role\": \"system\", \"content\": \"You are a friendly assistant\" }, { \"role\": \"user\", \"content\": \"Why is pizza so good\" }], \"temperature\": 0, \"chat_template_kwargs\": { \"enable_thinking\": false } }'" }, "letme": { "capability": "https://letme.dev/voice.pipeline", "tool": "https://letme.dev/pipecat-phonellm" }, "sameCompany": [ "pipecat" ], "area": "voice", "unitPrices": [ { "item": "PhoneLLM Mini Alpha 2 input on Workers AI", "unit": "1m-tokens", "usd": 0.06, "note": "5,455 neurons. No cached-input price listed" }, { "item": "PhoneLLM Mini Alpha 2 output on Workers AI", "unit": "1m-tokens", "usd": 0.24, "note": "21,818 neurons" } ], "provenance": { "legalEntity": "Daily", "domain": "pipecat.ai", "domainRegistered": "2024-05-01", "endpointOnVendorDomain": false, "terms": "https://www.daily.co/legal/terms-of-service/", "privacy": "https://www.daily.co/legal/privacy/", "statusPage": "https://www.cloudflarestatus.com", "changelog": "", "securityTxt": "none", "checked": "2026-10-17", "notes": [ "The weights are published by the pipecat-ai organisation on Hugging Face, and Mini's LICENSE reads 'Copyright (c) 2026, Daily'. Legal entity, domain date, terms, privacy and security.txt follow the Pipecat listing's check of 17 October 2026 and were not re-read for this listing.", "The graded hosted route is Cloudflare's, at api.cloudflare.com, so the status page is Cloudflare's. Daily runs no endpoint of its own for PhoneLLM.", "No changelog of PhoneLLM's own was found. Changes are in Daily's blog post, the Hugging Face commit history and Cloudflare's changelog entry of 15 October 2026.", "Pages were read with curl after each host's robots.txt (www.daily.co, huggingface.co, developers.cloudflare.com, www.cloudflarestatus.com, www.pipecat.ai, modal.com)." ], "score": 57 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/pipecat-phonellm.json", "live": { "slug": "pipecat-phonellm", "probe": { "target": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/@cf/daily-co/phonellm-mini-alpha-2", "method": "get", "lastAt": "2026-10-18T00:14:51.223557152Z", "lastOk": true, "lastStatus": 404, "lastMs": 17, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 19, "p95ms24h": 31, "samples24h": 24, "samples30d": 24, "days": [ { "date": "2026-10-17", "probes": 21, "ok": 21 }, { "date": "2026-10-18", "probes": 3, "ok": 3 } ] }, "vendorStatus": { "page": "https://www.cloudflarestatus.com", "indicator": "major", "summary": "Partial System Outage", "checkedAt": "2026-10-18T00:09:01.806012239Z" }, "pages": [ { "url": "https://www.daily.co/legal/privacy/", "kind": "privacy", "status": 200, "checkedAt": "2026-10-17T23:14:52.9950864Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0100275d4e6b" }, { "url": "https://www.daily.co/legal/terms-of-service/", "kind": "terms", "status": 200, "checkedAt": "2026-10-17T23:14:55.805751581Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "c64f8e3a735a" } ], "updatedAt": "2026-10-18T00:14:51.223557152Z" } }, "facts": [ { "a": "Agent framework", "b": "Model API", "name": "Kind" }, { "a": "LiveKit Incorporated", "b": "Daily", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/@cf/daily-co/phonellm-mini-alpha-2", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "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", "b": "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", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-15", "b": "2026-10-15", "name": "Last release" }, { "a": "no date given", "b": "", "name": "Terms last updated" }, { "a": "no date given", "b": "", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "yes", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "15k stars, 820k npm/wk, 1.1M PyPI/wk", "b": "none", "name": "Popularity" }, { "a": "3/5 (4)", "b": "2.8/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "LiveKit Agents scores 72.5 (BB) on agent readiness against Pipecat PhoneLLM's 58.7 (C), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, LiveKit Agents or Pipecat PhoneLLM?" }, { "answer": "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.", "question": "Can an agent call LiveKit Agents and Pipecat PhoneLLM without installing anything?" }, { "answer": "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.", "question": "Are LiveKit Agents and Pipecat PhoneLLM open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 67 against 53", "Schema \u0026 documentation, 81 against 72", "Agent ergonomics, 80 against 61", "Payments \u0026 pricing, 60 against 40", "Maintenance \u0026 community, 85 against 58", "Transparency \u0026 trust, 82 against 56" ], "also": [ "Agent-ready, a grade of BB or better", "Open source" ], "goodFor": "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.", "slug": "livekit-agents", "watchFor": "The turn-detector models are under a proprietary licence that forbids use outside LiveKit Agents and training other models on their output" }, { "aheadOn": null, "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "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.", "slug": "pipecat-phonellm", "watchFor": "Labelled Alpha 2 by Daily, with no deprecation policy, support period or changelog of its own" } ], "job": { "capability": "voice.pipeline", "name": "Voice pipeline" }, "others": [ { "json": "https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-livekit-agents.json", "title": "AssemblyAI Voice Agent API vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-livekit-agents.json", "title": "Bland AI API + MCP vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/bolna-vs-livekit-agents.json", "title": "Bolna API + MCP vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/bolna-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-livekit-agents.json", "title": "Deepgram Voice Agent API vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/elevenlabs-agents-vs-livekit-agents.json", "title": "ElevenLabs Agents API + MCP vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/elevenlabs-agents-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/gemini-live-vs-livekit-agents.json", "title": "Gemini Live API vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/gemini-live-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/hume-evi-vs-livekit-agents.json", "title": "Hume EVI (Empathic Voice Interface) vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/hume-evi-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-openai-realtime.json", "title": "LiveKit Agents vs OpenAI Realtime API", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-openai-realtime" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat.json", "title": "LiveKit Agents vs Pipecat", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-placecall.json", "title": "LiveKit Agents vs PlaceCall", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-placecall" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-retell-ai.json", "title": "LiveKit Agents vs Retell AI API + MCP", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-retell-ai" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-synthflow.json", "title": "LiveKit Agents vs Synthflow API + MCP", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-synthflow" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-ultravox.json", "title": "LiveKit Agents vs Ultravox Realtime API", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-ultravox" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-vapi.json", "title": "LiveKit Agents vs Vapi API + MCP", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-vapi" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-vocily.json", "title": "LiveKit Agents vs Vocily AI", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-vocily" }, { "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-vogent.json", "title": "LiveKit Agents vs Vogent API", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-vogent" }, { "json": "https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-pipecat-phonellm.json", "title": "AssemblyAI Voice Agent API vs Pipecat PhoneLLM", "url": "https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-pipecat-phonellm" }, { "json": "https://www.anchorterminal.com/compare/bland-ai-vs-pipecat-phonellm.json", "title": "Bland AI API + MCP vs Pipecat PhoneLLM", "url": "https://www.anchorterminal.com/compare/bland-ai-vs-pipecat-phonellm" }, { "json": "https://www.anchorterminal.com/compare/bolna-vs-pipecat-phonellm.json", "title": "Bolna API + MCP vs Pipecat PhoneLLM", "url": "https://www.anchorterminal.com/compare/bolna-vs-pipecat-phonellm" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-livekit-agents.json", "title": "CueLight vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/cuelight-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/cuelight-vs-pipecat-phonellm.json", "title": "CueLight vs Pipecat PhoneLLM", "url": "https://www.anchorterminal.com/compare/cuelight-vs-pipecat-phonellm" }, { "json": "https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-pipecat-phonellm.json", "title": "Deepgram Voice Agent API vs Pipecat PhoneLLM", "url": "https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-pipecat-phonellm" }, { "json": "https://www.anchorterminal.com/compare/elevenlabs-agents-vs-pipecat-phonellm.json", "title": "ElevenLabs Agents API + MCP vs Pipecat PhoneLLM", "url": "https://www.anchorterminal.com/compare/elevenlabs-agents-vs-pipecat-phonellm" }, { "json": "https://www.anchorterminal.com/compare/hume-evi-vs-pipecat-phonellm.json", "title": "Hume EVI (Empathic Voice Interface) vs Pipecat PhoneLLM", "url": "https://www.anchorterminal.com/compare/hume-evi-vs-pipecat-phonellm" }, { "json": "https://www.anchorterminal.com/compare/pipecat-phonellm-vs-retell-ai.json", "title": "Pipecat PhoneLLM vs Retell AI API + MCP", "url": "https://www.anchorterminal.com/compare/pipecat-phonellm-vs-retell-ai" }, { "json": "https://www.anchorterminal.com/compare/pipecat-phonellm-vs-synthflow.json", "title": "Pipecat PhoneLLM vs Synthflow API + MCP", "url": "https://www.anchorterminal.com/compare/pipecat-phonellm-vs-synthflow" }, { "json": "https://www.anchorterminal.com/compare/pipecat-phonellm-vs-vapi.json", "title": "Pipecat PhoneLLM vs Vapi API + MCP", "url": "https://www.anchorterminal.com/compare/pipecat-phonellm-vs-vapi" }, { "json": "https://www.anchorterminal.com/compare/pipecat-phonellm-vs-vocily.json", "title": "Pipecat PhoneLLM vs Vocily AI", "url": "https://www.anchorterminal.com/compare/pipecat-phonellm-vs-vocily" }, { "json": "https://www.anchorterminal.com/compare/pipecat-phonellm-vs-vogent.json", "title": "Pipecat PhoneLLM vs Vogent API", "url": "https://www.anchorterminal.com/compare/pipecat-phonellm-vs-vogent" }, { "json": "https://www.anchorterminal.com/compare/pipecat-vs-pipecat-phonellm.json", "title": "Pipecat vs Pipecat PhoneLLM", "url": "https://www.anchorterminal.com/compare/pipecat-vs-pipecat-phonellm" }, { "json": "https://www.anchorterminal.com/compare/gpt-live-vs-livekit-agents.json", "title": "GPT-Live vs LiveKit Agents", "url": "https://www.anchorterminal.com/compare/gpt-live-vs-livekit-agents" }, { "json": "https://www.anchorterminal.com/compare/gemini-live-vs-pipecat-phonellm.json", "title": "Gemini Live API vs Pipecat PhoneLLM", "url": "https://www.anchorterminal.com/compare/gemini-live-vs-pipecat-phonellm" }, { "json": "https://www.anchorterminal.com/compare/gpt-live-vs-pipecat-phonellm.json", "title": "GPT-Live vs Pipecat PhoneLLM", "url": "https://www.anchorterminal.com/compare/gpt-live-vs-pipecat-phonellm" }, { "json": "https://www.anchorterminal.com/compare/openai-realtime-vs-pipecat-phonellm.json", "title": "OpenAI Realtime API vs Pipecat PhoneLLM", "url": "https://www.anchorterminal.com/compare/openai-realtime-vs-pipecat-phonellm" }, { "json": "https://www.anchorterminal.com/compare/pipecat-phonellm-vs-ultravox.json", "title": "Pipecat PhoneLLM vs Ultravox Realtime API", "url": "https://www.anchorterminal.com/compare/pipecat-phonellm-vs-ultravox" } ], "scores": [ { "by": 14, "edge": "livekit-agents", "key": "reliability", "livekit-agents": 67, "name": "Reliability", "pipecat-phonellm": 53, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 9, "edge": "livekit-agents", "key": "schema", "livekit-agents": 81, "name": "Schema \u0026 documentation", "pipecat-phonellm": 72, "weight": 13 }, { "by": 19, "edge": "livekit-agents", "key": "ergonomics", "livekit-agents": 80, "name": "Agent ergonomics", "pipecat-phonellm": 61, "weight": 13 }, { "by": 4, "edge": "pipecat-phonellm", "key": "security", "livekit-agents": 62, "name": "Security \u0026 auth", "pipecat-phonellm": 66, "weight": 14 }, { "by": 20, "edge": "livekit-agents", "key": "payments", "livekit-agents": 60, "name": "Payments \u0026 pricing", "pipecat-phonellm": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 27, "edge": "livekit-agents", "key": "maintenance", "livekit-agents": 85, "name": "Maintenance \u0026 community", "pipecat-phonellm": 58, "weight": 7 }, { "by": 26, "edge": "livekit-agents", "key": "transparency", "livekit-agents": 82, "name": "Transparency \u0026 trust", "pipecat-phonellm": 56, "weight": 7 } ], "summary": "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.", "tutorials": [], "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat-phonellm", "json": "https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat-phonellm.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat-phonellm.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat-phonellm.min.md" }, "markdown": "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.\n\n- LiveKit Agents: grade BB, 72.5/100, rank #104 of 1133. Markdown https://www.anchorterminal.com/tools/livekit-agents.md · JSON https://www.anchorterminal.com/api/v1/tools/livekit-agents.json\n- Pipecat PhoneLLM: grade C, 58.7/100, rank #629 of 1133. Markdown https://www.anchorterminal.com/tools/pipecat-phonellm.md · JSON https://www.anchorterminal.com/api/v1/tools/pipecat-phonellm.json\n- Best conversational voice-agent APIs: https://www.anchorterminal.com/best/voice-agents/index.md\n- All 184 voice agents comparisons: https://www.anchorterminal.com/compare/voice-agents/index.md\n\n## Which one, for what\n\n### LiveKit Agents (BB)\n\nGood 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.\n\nAhead on:\n- Reliability, 67 against 53\n- Schema \u0026 documentation, 81 against 72\n- Agent ergonomics, 80 against 61\n- Payments \u0026 pricing, 60 against 40\n- Maintenance \u0026 community, 85 against 58\n- Transparency \u0026 trust, 82 against 56\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Open source\n\nWatch for: The turn-detector models are under a proprietary licence that forbids use outside LiveKit Agents and training other models on their output\n\n### Pipecat PhoneLLM (C)\n\nGood 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.\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Labelled Alpha 2 by Daily, with no deprecation policy, support period or changelog of its own\n\n\n## Score by category\n\n| Category | Weight | LiveKit Agents | Pipecat PhoneLLM | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 67 | 53 | LiveKit Agents +14 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 81 | 72 | LiveKit Agents +9 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 61 | LiveKit Agents +19 |\n| Security \u0026 auth | 14% (17.5 this run) | 62 | 66 | Pipecat PhoneLLM +4 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 40 | LiveKit Agents +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 58 | LiveKit Agents +27 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 82 | 56 | LiveKit Agents +26 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **72.5 · BB** | **58.7 · C** | |\n\n## Facts side by side\n\n| Fact | LiveKit Agents | Pipecat PhoneLLM |\n| --- | --- | --- |\n| Kind | Agent framework | Model API |\n| Vendor | LiveKit Incorporated | Daily |\n| Hosted endpoint | no (local only) | `https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/@cf/daily-co/phonellm-mini-alpha-2` |\n| Transports | | HTTP |\n| Auth | API key | API key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| 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 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-15 | 2026-10-15 |\n| Terms last updated | no date given | |\n| Privacy policy last updated | no date given | |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | yes | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | yes | |\n| Popularity | 15k stars, 820k npm/wk, 1.1M PyPI/wk | none |\n| Agent reviews | 3/5 (4) | 2.8/5 (4) |\n\n## Verdicts\n\n**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.\n\n**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.\n\n## Before you call either\n\n### LiveKit Agents\n\n1. Set `LIVEKIT_URL`, `LIVEKIT_API_KEY` and `LIVEKIT_API_SECRET` before starting. Every agent joins a LiveKit room, on LiveKit Cloud or a self-hosted server\n2. Pass `inference.TurnDetector(version=\"v1-mini\")` to keep turn detection local, and read `MODEL_LICENSE` before using LiveKit's turn models anywhere but LiveKit Agents\n3. Pass `record=False`, or a dict per category, to `session.start()` if audio, transcripts, traces and logs must not reach LiveKit Cloud\n4. Call `context.disallow_interruptions()` first in tools that write, and set `on_duplicate=\"reject\"` or `\"confirm\"`. Duplicates are matched by tool name only, not arguments\n5. Wrap MCP servers in `mcp.MCPToolset` with `allowed_tools` (Python only). The `mcp_servers` parameter is deprecated\n\n### Pipecat PhoneLLM\n\n1. Send `temperature: 0` on every call. The repositories' generation_config.json samples by default, and Max's sets temperature 1.0\n2. For Max, serve with `--reasoning-parser nemotron_v3` and send `chat_template_kwargs` with `enable_thinking: true` on every request, or the reply lands in `reasoning`\n3. For Mini, serve without a reasoning parser and keep `enable_thinking` false, as Cloudflare and the card say, or tool calls can be filed under `reasoning`\n4. Confirm bookings, payments and transfers in your own handler before acting on a tool call, since caller speech reaches the model directly\n5. Pin the model ID including `alpha-2`. Daily states no notice period, and a later alpha may replace it\n\n## Questions\n\n### Which is better for AI agents, LiveKit Agents or Pipecat PhoneLLM?\n\nLiveKit Agents scores 72.5 (BB) on agent readiness against Pipecat PhoneLLM's 58.7 (C), and leads in 6 of 7 scored categories.\n\n### Can an agent call LiveKit Agents and Pipecat PhoneLLM without installing anything?\n\nNo 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.\n\n### Are LiveKit Agents and Pipecat PhoneLLM open source?\n\nLiveKit 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.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat-phonellm.json, and with the fewest tokens: https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat-phonellm.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"livekit-agents\", \"b\": \"pipecat-phonellm\"}`. From a terminal: `anchor compare livekit-agents pipecat-phonellm`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/livekit-agents.json and https://www.anchorterminal.com/api/v1/tools/pipecat-phonellm.json\n\n## Other comparisons with LiveKit Agents or Pipecat PhoneLLM\n\n- [AssemblyAI Voice Agent API vs LiveKit Agents](https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-livekit-agents.md)\n- [Bland AI API + MCP vs LiveKit Agents](https://www.anchorterminal.com/compare/bland-ai-vs-livekit-agents.md)\n- [Bolna API + MCP vs LiveKit Agents](https://www.anchorterminal.com/compare/bolna-vs-livekit-agents.md)\n- [Deepgram Voice Agent API vs LiveKit Agents](https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-livekit-agents.md)\n- [ElevenLabs Agents API + MCP vs LiveKit Agents](https://www.anchorterminal.com/compare/elevenlabs-agents-vs-livekit-agents.md)\n- [Gemini Live API vs LiveKit Agents](https://www.anchorterminal.com/compare/gemini-live-vs-livekit-agents.md)\n- [Hume EVI (Empathic Voice Interface) vs LiveKit Agents](https://www.anchorterminal.com/compare/hume-evi-vs-livekit-agents.md)\n- [LiveKit Agents vs OpenAI Realtime API](https://www.anchorterminal.com/compare/livekit-agents-vs-openai-realtime.md)\n- [LiveKit Agents vs Pipecat](https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat.md)\n- [LiveKit Agents vs PlaceCall](https://www.anchorterminal.com/compare/livekit-agents-vs-placecall.md)\n- [LiveKit Agents vs Retell AI API + MCP](https://www.anchorterminal.com/compare/livekit-agents-vs-retell-ai.md)\n- [LiveKit Agents vs Synthflow API + MCP](https://www.anchorterminal.com/compare/livekit-agents-vs-synthflow.md)\n- [LiveKit Agents vs Ultravox Realtime API](https://www.anchorterminal.com/compare/livekit-agents-vs-ultravox.md)\n- [LiveKit Agents vs Vapi API + MCP](https://www.anchorterminal.com/compare/livekit-agents-vs-vapi.md)\n- [LiveKit Agents vs Vocily AI](https://www.anchorterminal.com/compare/livekit-agents-vs-vocily.md)\n- [LiveKit Agents vs Vogent API](https://www.anchorterminal.com/compare/livekit-agents-vs-vogent.md)\n- [AssemblyAI Voice Agent API vs Pipecat PhoneLLM](https://www.anchorterminal.com/compare/assemblyai-voice-agent-vs-pipecat-phonellm.md)\n- [Bland AI API + MCP vs Pipecat PhoneLLM](https://www.anchorterminal.com/compare/bland-ai-vs-pipecat-phonellm.md)\n- [Bolna API + MCP vs Pipecat PhoneLLM](https://www.anchorterminal.com/compare/bolna-vs-pipecat-phonellm.md)\n- [CueLight vs LiveKit Agents](https://www.anchorterminal.com/compare/cuelight-vs-livekit-agents.md)\n- [CueLight vs Pipecat PhoneLLM](https://www.anchorterminal.com/compare/cuelight-vs-pipecat-phonellm.md)\n- [Deepgram Voice Agent API vs Pipecat PhoneLLM](https://www.anchorterminal.com/compare/deepgram-voice-agent-vs-pipecat-phonellm.md)\n- [ElevenLabs Agents API + MCP vs Pipecat PhoneLLM](https://www.anchorterminal.com/compare/elevenlabs-agents-vs-pipecat-phonellm.md)\n- [Hume EVI (Empathic Voice Interface) vs Pipecat PhoneLLM](https://www.anchorterminal.com/compare/hume-evi-vs-pipecat-phonellm.md)\n- [Pipecat PhoneLLM vs Retell AI API + MCP](https://www.anchorterminal.com/compare/pipecat-phonellm-vs-retell-ai.md)\n- [Pipecat PhoneLLM vs Synthflow API + MCP](https://www.anchorterminal.com/compare/pipecat-phonellm-vs-synthflow.md)\n- [Pipecat PhoneLLM vs Vapi API + MCP](https://www.anchorterminal.com/compare/pipecat-phonellm-vs-vapi.md)\n- [Pipecat PhoneLLM vs Vocily AI](https://www.anchorterminal.com/compare/pipecat-phonellm-vs-vocily.md)\n- [Pipecat PhoneLLM vs Vogent API](https://www.anchorterminal.com/compare/pipecat-phonellm-vs-vogent.md)\n- [Pipecat vs Pipecat PhoneLLM](https://www.anchorterminal.com/compare/pipecat-vs-pipecat-phonellm.md)\n- [GPT-Live vs LiveKit Agents](https://www.anchorterminal.com/compare/gpt-live-vs-livekit-agents.md)\n- [Gemini Live API vs Pipecat PhoneLLM](https://www.anchorterminal.com/compare/gemini-live-vs-pipecat-phonellm.md)\n- [GPT-Live vs Pipecat PhoneLLM](https://www.anchorterminal.com/compare/gpt-live-vs-pipecat-phonellm.md)\n- [OpenAI Realtime API vs Pipecat PhoneLLM](https://www.anchorterminal.com/compare/openai-realtime-vs-pipecat-phonellm.md)\n- [Pipecat PhoneLLM vs Ultravox Realtime API](https://www.anchorterminal.com/compare/pipecat-phonellm-vs-ultravox.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-18", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "LiveKit Agents vs Pipecat PhoneLLM", "url": "" } ], "description": "LiveKit Agents scores 72.5 (BB) to Pipecat PhoneLLM's 58.7 (C) for voice pipeline. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "LiveKit Agents BB 72.5", "Pipecat PhoneLLM C 58.7", "scores" ], "h1": "LiveKit Agents vs Pipecat PhoneLLM", "image": "https://www.anchorterminal.com/assets/og/compare-livekit-agents-vs-pipecat-phonellm.png", "path": "/compare/livekit-agents-vs-pipecat-phonellm", "published": "2026-10-01", "section": "tools", "title": "LiveKit Agents vs Pipecat PhoneLLM for AI agents (2026)", "toc": null, "updated": "2026-10-17", "url": "https://www.anchorterminal.com/compare/livekit-agents-vs-pipecat-phonellm" }, "tokens": { "markdown": 3200, "slim": 830 }, "version": 1 }