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How LiveKit Agents’s scores are calculated

The full audit trail, recomputed from the verdict data at build time through the same code that produced the leaderboard: verdict × quality × story weight per cell, cells sum to dimension scores, dimensions blend into the PA Score. Every number on the product page is reproducible from this page alone; for why the formula looks like this, see the methodology.

verdict factors: full ×1.0 · partial ×0.6 · disputed ×0.3 · none ×0.0 · n/a excluded from both sides · cell points = weight × quality × factor · cell max = weight × 10

PA Score33/100

Agent-ready 55.2 × 0.30 = 16.56

API quality 5.1 × 0.20 = 1.02

Openness 50.2 × 0.20 = 10.04

Built-in AI 20.9 × 0.15 = 3.13

Automation 14.3 × 0.15 = 2.15

(16.56 + 1.02 + 10.04 + 3.13 + 2.15) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 32.90 ÷ 1.00 = 32.9

Scores are stored to 1 decimal; the product page’s pills round to whole numbers for display. Each dimension below shows the stories, verdicts, and cited evidence behind its number.

Agent-ready55.2/100×0.30 of the PA blend

Outside-in: can YOUR agent reach and drive this product — API, MCP, CLI, headless runs, agent docs.

Point an agent at llms.txt or agent-oriented docsweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [probe] https://docs.livekit.io/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.livekit.io/llms.txt # LiveKit docs > LiveKit is an open-source platform for building voice, video, and physical AI agents. It includes the”
  • [probe] https://docs.livekit.io/agents/.md“PROBE docs-md: HTTP 200 at https://docs.livekit.io/agents/.md LiveKit docs › Build Agents › Get Started › Introduction --- # Introduction > Realtime framework for voice, video, an”
  • [claimed-docs] https://docs.livekit.io/agents/start/voice-ai.md“LiveKit is built for coding agents like Claude Code, Cursor, and Codex.”

Run the product headlessly / in CI for automationweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://docs.livekit.io/agents/server.md“A programmatic participant is any code that joins a LiveKit room as a participant — this includes AI agents, media processors, or custom logic that processes realtime streams.”
  • [claimed-docs] https://docs.livekit.io/agents/server.md“The Agents framework isn't limited to AI agents. You can use it to deploy any code that needs to process realtime media and data streams as a programmatic participant.”
  • [claimed-docs] https://docs.livekit.io/agents/start/testing.md“Behavioral tests verify specific interactions and expected outcomes. They integrate with your existing test suite using pytest (Python) or Vitest (Node.js)”
  • [claimed-docs] https://docs.livekit.io/agents/start/testing.md“Agent simulations run end-to-end conversations between your agent and an LLM-driven user, then evaluate the results across the full interaction.”
  • [github] https://github.com/livekit/agents“Builtin test framework: Write tests and use judges to ensure your agent is performing as expected.”
  • [probe] https://docs.livekit.io/home/self-hosting/deployment.md“PROBE runtime (recorded 2026-09-05): `livekit-server --dev` (brew-installed, Apache-2.0 OSS) booted on this machine with NO account or key — logs show 'starting in development mode' with placeholder keys, and http://localhost:7880 answered HTTP 200 — the self-hosted WebRTC/SIP backbone under LiveKit Agents verified hands-on.”
  • [probe] https://docs.livekit.io/agents/start/voice-ai.md“PROBE runtime (recorded 2026-09-05): pypi livekit-agents 1.8.0 installs and `import livekit.agents` succeeds with no key (npm @livekit/agents 1.8.0 also live, ~498k weekly downloads) — the open-source agents framework is real and pip-installable.”

Plug MCP servers into this product so it can use their toolsweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

  • [claimed-docs] https://docs.livekit.io/agents/logic/tools/mcp.md“Wrap an MCP server in an \`MCPToolset\` and pass it to the agent's \`tools\` parameter”
  • [claimed-docs] https://docs.livekit.io/agents/logic/tools/mcp.md“Wrap an MCP server in an `MCPToolset` and pass it to the agent's `tools` parameter”
  • [claimed-docs] https://docs.livekit.io/agents/logic/tools/mcp.md“LiveKit Agents has first-class support for Model Context Protocol (MCP) servers.”
  • [github] https://github.com/livekit/agents“MCP support: Native support for MCP. Integrate tools provided by MCP servers with one line of code.”
  • [github] https://github.com/livekit/agents“Native support for MCP. Integrate tools provided by MCP servers with one line of code.”

Connect an agent via an official MCP serverweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Use an official CLIweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [probe] https://github.com/livekit/livekit-cli“official CLI documented at https://github.com/livekit/livekit-cli”
  • [probe] https://github.com/livekit/livekit-cli“PROBE runtime (recorded 2026-09-05): `lk --version` printed `lk version 2.18.6` after a plain `brew install livekit-cli` — the official CLI runs keylessly.”

Drive the product through a documented public APIweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

  • [claimed-docs] https://docs.livekit.io/agents/“The Agents framework lets you add any Python or Node.js program to LiveKit rooms as full realtime participants.”
  • [claimed-docs] https://docs.livekit.io/agents/server.md“A programmatic participant is any code that joins a LiveKit room as a participant — this includes AI agents, media processors, or custom logic that processes realtime streams.”
  • [claimed-docs] https://docs.livekit.io/agents/server.md“The Agents framework isn't limited to AI agents. You can use it to deploy any code that needs to process realtime media and data streams as a programmatic participant.”
  • [github] https://github.com/livekit/agents“MCP support: Native support for MCP. Integrate tools provided by MCP servers with one line of code.”
  • [claimed-docs] https://docs.livekit.io/agents/logic/tools.md“LiveKit Agents has full support for LLM tool use. This feature allows you to create a custom library of tools to extend your agent's context”
  • [probe] https://docs.livekit.io/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.livekit.io/llms.txt # LiveKit docs > LiveKit is an open-source platform for building voice, video, and physical AI agents. It includes the”
  • [probe] https://docs.livekit.io/agents/.md“PROBE docs-md: HTTP 200 at https://docs.livekit.io/agents/.md LiveKit docs › Build Agents › Get Started › Introduction --- # Introduction > Realtime framework for voice, video, an”
  • [probe] https://docs.livekit.io/agents/start/voice-ai.md“PROBE runtime (recorded 2026-09-05): pypi livekit-agents 1.8.0 installs and `import livekit.agents` succeeds with no key (npm @livekit/agents 1.8.0 also live, ~498k weekly downloads) — the open-source agents framework is real and pip-installable.”

Issue scoped/least-privilege API credentials for an agentweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Build against official SDKsweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [claimed-docs] https://docs.livekit.io/agents/“The Agents framework lets you add any Python or Node.js program to LiveKit rooms as full realtime participants.”
  • [claimed-docs] https://docs.livekit.io/agents/models.md“LiveKit Agents includes a large ecosystem of open source plugins for a variety of AI providers.”
  • [claimed-docs] https://docs.livekit.io/agents/logic/tools.md“LiveKit Agents has full support for LLM tool use. This feature allows you to create a custom library of tools to extend your agent's context”
  • [github] https://github.com/livekit/agents“MCP support: Native support for MCP. Integrate tools provided by MCP servers with one line of code.”
  • [probe] https://docs.livekit.io/agents/start/voice-ai.md“PROBE runtime (recorded 2026-09-05): pypi livekit-agents 1.8.0 installs and `import livekit.agents` succeeds with no key (npm @livekit/agents 1.8.0 also live, ~498k weekly downloads) — the open-source agents framework is real and pip-installable.”
  • [claimed-docs] https://docs.livekit.io/agents/start/testing.md“Behavioral tests verify specific interactions and expected outcomes. They integrate with your existing test suite using pytest (Python) or Vitest (Node.js)”

Subscribe to events via webhooksweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Agent-ready = 116.0 ÷ 210 × 100 = 55.2

API quality5.1/100×0.20 of the PA blend

The programmable surface once an agent is there — machine-readable spec, interactive docs, sandbox, versioning discipline.

Explore an interactive API reference with runnable examplesweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Download a machine-readable API spec (OpenAPI or equivalent)weight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://github.com/livekit/livekit-cli“official CLI documented at https://github.com/livekit/livekit-cli”
  • [probe] https://docs.livekit.io/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.livekit.io/llms.txt # LiveKit docs > LiveKit is an open-source platform for building voice, video, and physical AI agents. It includes the”
  • [probe] https://docs.livekit.io/agents/.md“PROBE docs-md: HTTP 200 at https://docs.livekit.io/agents/.md LiveKit docs › Build Agents › Get Started › Introduction --- # Introduction > Realtime framework for voice, video, an”

Test against a sandbox environment without touching production dataweight 1

1 (weight) × 6 (quality) × 0.6 (partial) = 3.6 of 10 max

  • [claimed-docs] https://docs.livekit.io/agents/start/testing.md“Behavioral tests verify specific interactions and expected outcomes. They integrate with your existing test suite using pytest (Python) or Vitest (Node.js)”
  • [claimed-docs] https://docs.livekit.io/agents/start/testing.md“Agent simulations run end-to-end conversations between your agent and an LLM-driven user, then evaluate the results across the full interaction.”
  • [claimed-docs] https://docs.livekit.io/agents/start/testing.md“Behavioral tests verify specific interactions and expected outcomes... Agent simulations run end-to-end conversations between your agent and an LLM-driven user, then evaluate the results across the full interaction.”
  • [github] https://github.com/livekit/agents“Builtin test framework: Write tests and use judges to ensure your agent is performing as expected.”
  • [probe] https://docs.livekit.io/home/self-hosting/deployment.md“PROBE runtime (recorded 2026-09-05): `livekit-server --dev` (brew-installed, Apache-2.0 OSS) booted on this machine with NO account or key — logs show 'starting in development mode' with placeholder keys, and http://localhost:7880 answered HTTP 200 — the self-hosted WebRTC/SIP backbone under LiveKit Agents verified hands-on.”

Rely on versioned APIs with a documented deprecation policyweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

API quality = 3.6 ÷ 70 × 100 = 5.1

Openness50.2/100×0.20 of the PA blend

Can you leave, inspect, or self-host — data export, open source, portability.

Do everything through the API that I can do in the UIweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://docs.livekit.io/agents/“Prototype and deploy voice agents directly in your browser, without writing any code.”
  • [claimed-docs] https://docs.livekit.io/agents/“LiveKit Agent Builder to prototype and deploy agents directly in your browser without writing code”
  • [claimed-docs] https://docs.livekit.io/agents.md“LiveKit Agent Builder: Prototype and deploy voice agents directly in your browser, without writing any code.”
  • [claimed-docs] https://livekit.io/pricing“Instant rollback to a previous agent deployment”
  • [probe] https://github.com/livekit/livekit-cli“official CLI documented at https://github.com/livekit/livekit-cli”
  • [probe] https://github.com/livekit/livekit-cli“PROBE runtime (recorded 2026-09-05): `lk --version` printed `lk version 2.18.6` after a plain `brew install livekit-cli` — the official CLI runs keylessly.”
  • [claimed-docs] https://docs.livekit.io/agents/server.md“A programmatic participant is any code that joins a LiveKit room as a participant — this includes AI agents, media processors, or custom logic that processes realtime streams.”

Export all of my data in open formats and leaveweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

  • [probe] https://docs.livekit.io/home/self-hosting/deployment.md“PROBE runtime (recorded 2026-09-05): `livekit-server --dev` (brew-installed, Apache-2.0 OSS) booted on this machine with NO account or key — logs show 'starting in development mode' with placeholder keys, and http://localhost:7880 answered HTTP 200 — the self-hosted WebRTC/SIP backbone under LiveKit Agents verified hands-on.”
  • [probe] https://docs.livekit.io/agents/start/voice-ai.md“PROBE runtime (recorded 2026-09-05): pypi livekit-agents 1.8.0 installs and `import livekit.agents` succeeds with no key (npm @livekit/agents 1.8.0 also live, ~498k weekly downloads) — the open-source agents framework is real and pip-installable.”
  • [claimed-docs] https://docs.livekit.io/home/self-hosting/deployment.md“The good news is LiveKit includes an embedded TURN server. It's a secure TURN implementation that has integrated authentication with the rest of LiveKit.”

Read the product's source under an open licenseweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [github] https://github.com/livekit/agents“MCP support: Native support for MCP. Integrate tools provided by MCP servers with one line of code.”
  • [probe] https://docs.livekit.io/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.livekit.io/llms.txt # LiveKit docs > LiveKit is an open-source platform for building voice, video, and physical AI agents. It includes the”
  • [probe] https://docs.livekit.io/home/self-hosting/deployment.md“PROBE runtime (recorded 2026-09-05): `livekit-server --dev` (brew-installed, Apache-2.0 OSS) booted on this machine with NO account or key — logs show 'starting in development mode' with placeholder keys, and http://localhost:7880 answered HTTP 200 — the self-hosted WebRTC/SIP backbone under LiveKit Agents verified hands-on.”
  • [probe] https://docs.livekit.io/agents/start/voice-ai.md“PROBE runtime (recorded 2026-09-05): pypi livekit-agents 1.8.0 installs and `import livekit.agents` succeeds with no key (npm @livekit/agents 1.8.0 also live, ~498k weekly downloads) — the open-source agents framework is real and pip-installable.”
  • [probe] https://github.com/livekit/livekit-cli“official CLI documented at https://github.com/livekit/livekit-cli”

Self-host the core productweight 3

3 (weight) × 9 (quality) × 1.0 (full) = 27.0 of 30 max

  • [claimed-docs] https://docs.livekit.io/home/self-hosting/deployment.md“The good news is LiveKit includes an embedded TURN server. It's a secure TURN implementation that has integrated authentication with the rest of LiveKit.”
  • [claimed-docs] https://docs.livekit.io/home/self-hosting/deployment.md“In order to have a secure LiveKit deployment, you will need a domain as well as a SSL certificate for that domain.”
  • [probe] https://docs.livekit.io/home/self-hosting/deployment.md“PROBE runtime (recorded 2026-09-05): `livekit-server --dev` (brew-installed, Apache-2.0 OSS) booted on this machine with NO account or key — logs show 'starting in development mode' with placeholder keys, and http://localhost:7880 answered HTTP 200 — the self-hosted WebRTC/SIP backbone under LiveKit Agents verified hands-on.”
  • [probe] https://docs.livekit.io/agents/start/voice-ai.md“PROBE runtime (recorded 2026-09-05): pypi livekit-agents 1.8.0 installs and `import livekit.agents` succeeds with no key (npm @livekit/agents 1.8.0 also live, ~498k weekly downloads) — the open-source agents framework is real and pip-installable.”
  • [probe] https://github.com/livekit/livekit-cli“PROBE runtime (recorded 2026-09-05): `lk --version` printed `lk version 2.18.6` after a plain `brew install livekit-cli` — the official CLI runs keylessly.”

Openness = 50.2 ÷ 100 × 100 = 50.2

Built-in AI20.9/100×0.15 of the PA blend

Inside-out: how agentic the product itself is for its users — built-in assistants, autonomous features.

Get AI-generated insights and suggestions from my data inside the productweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Set up automations that run autonomously in the backgroundweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

  • [claimed-docs] https://docs.livekit.io/agents/server.md“A programmatic participant is any code that joins a LiveKit room as a participant — this includes AI agents, media processors, or custom logic that processes realtime streams.”
  • [claimed-docs] https://docs.livekit.io/agents/server.md“The Agents framework isn't limited to AI agents. You can use it to deploy any code that needs to process realtime media and data streams as a programmatic participant.”
  • [claimed-docs] https://docs.livekit.io/agents/“Run your agent on LiveKit Cloud's global infrastructure.”
  • [claimed-docs] https://docs.livekit.io/sip.md“LiveKit telephony lets you build AI-powered voice apps that handle inbound and outbound calls.”
  • [github] https://github.com/livekit/agents“Works seamlessly with LiveKit's telephony stack, allowing your agent to make calls to or receive calls from phones.”
  • [probe] https://docs.livekit.io/home/self-hosting/deployment.md“PROBE runtime (recorded 2026-09-05): `livekit-server --dev` (brew-installed, Apache-2.0 OSS) booted on this machine with NO account or key — logs show 'starting in development mode' with placeholder keys, and http://localhost:7880 answered HTTP 200 — the self-hosted WebRTC/SIP backbone under LiveKit Agents verified hands-on.”
  • [probe] https://docs.livekit.io/agents/start/voice-ai.md“PROBE runtime (recorded 2026-09-05): pypi livekit-agents 1.8.0 installs and `import livekit.agents` succeeds with no key (npm @livekit/agents 1.8.0 also live, ~498k weekly downloads) — the open-source agents framework is real and pip-installable.”

Delegate tasks to a built-in AI assistant inside the productweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Operate the product with natural-language commandsweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [claimed-docs] https://docs.livekit.io/agents/start/voice-ai.md“LiveKit is built for coding agents like Claude Code, Cursor, and Codex.”
  • [claimed-docs] https://docs.livekit.io/agents/“Prototype and deploy voice agents directly in your browser, without writing any code.”
  • [claimed-docs] https://docs.livekit.io/agents/“LiveKit Agent Builder to prototype and deploy agents directly in your browser without writing code”
  • [probe] https://docs.livekit.io/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.livekit.io/llms.txt # LiveKit docs > LiveKit is an open-source platform for building voice, video, and physical AI agents. It includes the”
  • [probe] https://docs.livekit.io/agents/.md“PROBE docs-md: HTTP 200 at https://docs.livekit.io/agents/.md LiveKit docs › Build Agents › Get Started › Introduction --- # Introduction > Realtime framework for voice, video, an”

Built-in AI = 18.8 ÷ 90 × 100 = 20.9

Automation14.3/100×0.15 of the PA blend

Depth of automation primitives — rules, scheduling, bulk operations, webhooks.

Perform bulk operations across many items at onceweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Define rules that trigger actions automatically on eventsweight 3

3 (weight) × 5 (quality) × 0.6 (partial) = 9.0 of 30 max

  • [claimed-docs] https://docs.livekit.io/agents/logic/tools.md“Call external APIs or lookup data for RAG.”
  • [claimed-docs] https://docs.livekit.io/agents/logic/tools.md“LiveKit Agents has full support for LLM tool use. This feature allows you to create a custom library of tools to extend your agent's context”
  • [claimed-docs] https://docs.livekit.io/agents/logic/tools.md“LiveKit Agents has full support for LLM tool use.”
  • [claimed-docs] https://docs.livekit.io/agents/logic/turns/turn-detector.md“LiveKit's `TurnDetector` is an audio model that encodes user audio directly, capturing both _what_ is said and _how_ it's said.”
  • [claimed-docs] https://docs.livekit.io/agents/logic/turns/turn-detector.md“A turn detector model can predict that they have more to say and wait for them to finish before responding.”
  • [claimed-docs] https://docs.livekit.io/agents/logic/turns/adaptive-interruption-handling.md“Adaptive interruption handling allows an agent to respond naturally when users speak mid-response... to identify intentional interruptions (barge-ins) from conversational backchanneling.”
  • [claimed-docs] https://docs.livekit.io/agents/logic/turns/adaptive-interruption-handling.md“the model analyzes the acoustic signals to identify intentional interruptions (barge-ins) from conversational backchanneling”
  • [claimed-docs] https://docs.livekit.io/agents/logic/turns/adaptive-interruption-handling.md“Adaptive interruption handling allows an agent to respond naturally when users speak mid-response.”

Schedule recurring jobs or workflowsweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Version, review, and roll back my automationsweight 1

1 (weight) × 4 (quality) × 0.6 (partial) = 2.4 of 10 max

  • [claimed-docs] https://livekit.io/pricing“Instant rollback to a previous agent deployment”
  • [claimed-docs] https://docs.livekit.io/agents/start/testing.md“Behavioral tests verify specific interactions and expected outcomes. They integrate with your existing test suite using pytest (Python) or Vitest (Node.js)”
  • [claimed-docs] https://docs.livekit.io/agents/start/testing.md“Agent simulations run end-to-end conversations between your agent and an LLM-driven user, then evaluate the results across the full interaction.”
  • [github] https://github.com/livekit/agents“Builtin test framework: Write tests and use judges to ensure your agent is performing as expected.”

Automation = 11.4 ÷ 80 × 100 = 14.3