Head to head · Voice agents · October 2026 research run

LiveKit Agents vs Vaani Developer Platform

LiveKit Agents scores 72.7 (BB) on agent readiness against Vaani Developer Platform's 44.6 (E), and leads in every scored category. Both do voice agents.

Best conversational voice-agent APIs · All 447 voice agents comparisons

Which one, for what

LiveKit Agents BB

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 28
  • Schema & documentation, 81 against 57
  • Agent ergonomics, 80 against 64
  • Security & auth, 62 against 44
  • Payments & pricing, 60 against 22
  • Maintenance & community, 87 against 59
  • Transparency & trust, 82 against 42

Also in its favour

  • Agent-ready, a grade of BB or better
  • Free to start without a card
  • 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

Vaani Developer Platform E

Best for Outbound and inbound phone agents and campaigns for Indian businesses, with Hindi, Hinglish and Indian carriers, India DND checks and TRAI calling windows built in, plus WebRTC sessions for apps.

Also in its favour

  • A hosted endpoint, with nothing to install
  • Runs on your own machine

Watch for

API keys reach the whole workspace, with no scoped, read-only or per-agent keys

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Transparency & trust LiveKit Agents +40

LiveKit Agents 82

Apache-2.0 for the framework and its 81 plugin packages. The turn-detector models are under LiveKit's proprietary model licence, and the core package now requires livekit-local-inference, installed from PyPI with its source outside the repository, which runs the local v1-mini model that the turn-detector docs place under the same model licence. The README calls the project "Fully open-source" and names the model licence in its licence section, and MODEL_LICENSE itself calls LiveKit Agents a proprietary framework (20 of 30). The terms, the observability docs and the pricing page agree on 30-day observability retention, zero data retention for LiveKit Inference and no training on customer data, and a DPA and sub-processor list are published. The privacy policy (15 October 2026) excludes data LiveKit processes for customers. The pricing page lists LiveKit Inference models from Fish Audio, Gradium and Speechmatics, which the sub-processor list of 10 September 2026 does not name (22 of 30). Deprecations are flagged in code and docs (mcp_servers, cli.run_app, the text turn-detector plugin), mostly without dates. One warning names 30 April 2026 for removing api_version and is still in 1.8.10 on 1 November, and 2.0.0b1 has no migration notes we could find (9 of 20). What reaches LiveKit is documented with opt-outs (record, TurnDetector(version="v1-mini")), and the sub-processor list names each entity and country (17 of 20).

Vaani Developer Platform 42

A closed service. The terms name Vaani AI Research Private Limited, its Bengaluru address, CIN, Indian law and Bengaluru courts, but they're undated, written for the website www.vaaniresearch.com, and say nothing on billing, refunds, API use or customer data. The SDK and MCP server are MIT, with the SDK's full source in its PyPI sdist (14 of 30). The privacy policy (undated) keeps data, including voice recordings, for up to 24 months, while the pricing table gives 30 days' retention on pay as you go and zero retention on Enterprise. Voice data trains models only with explicit consent. No DPA found (8 of 30). No deprecation policy. The privacy policy promises 15 days' notice of significant changes, and the terms allow changes and termination without notice (2 of 20). The privacy policy names vendor categories (cloud hosting, analytics, voice transcription) and says data may be stored outside India. Model and telephony providers can be read from the calculator, and India data residency is offered on demand. No subprocessor list or data location for the hosted service (5 of 20). 14+8+2+5 = 29.

Reliability LiveKit Agents +39

LiveKit Agents 67

Graded as a framework with the local-software lines, since LiveKit Cloud is optional and not graded. Official packages on PyPI (Python 3.10 to 3.14 declared) and npm (Node.js 20 or later per the docs) (20). Public workflows run on every push to main and on pull requests. Unit tests on Linux with Python 3.12 over 310 test files on 1 November, ruff, and mypy on Python 3.10 and 3.13, with a small blockguard suite on Linux, macOS and Windows. GitHub's pages and API weren't readable from our session, so a passing main is not confirmed (15 of 25). Open issues and reply times weren't read, because GitHub's pages answer 403, and the earlier issue figures, taken from a third-party copy of GitHub data, are struck. In a clone of main, the 200 newest commits run from 11 to 31 October 2026 and 104 of them are fixes, among them an Inference STT socket that hung when silently dropped (#8023) and an avatar plugin's error handler that crashed (#7498). None names the issue it closes and there is no changelog, so whether reported crashes and regressions get handled can't be seen (10 of 25). No CHANGELOG file. Release notes are on GitHub, which we couldn't read, and the repository's release-notes script asks for Breaking changes and Security sections. Migration guides exist for 0.x to 1.0, AGENTS.md makes patch bumps the default, and 2.0.0b1 was tagged on 12 October and the docs' migration guides still stop at Python 0.x to 1.0 and Node.js 1.x to 1.5 on 1 November (7 of 15). 1.8.10, stable since 1.0 (15).

Vaani Developer Platform 28

Graded on the hosted REST API at api.vaanivoice.ai. No status page. status.vaani.dev and status.vaanivoice.ai don't resolve, and neither the site nor the docs link one (0). With no history to read, 5. No request rate limits are published. The docs give 2 concurrent calls on pay as you go and a per-organisation campaign concurrency cap, so partial credit (5). The SDK raises RateLimitError on 429 and the MCP client retries once after 600 ms, but no Retry-After, backoff guidance or idempotency key for call creation is documented (3). The pricing table lists a 99.50 per cent uptime SLA on both plans, but no SLA document or service credits were found and the terms supply the service "as-is" with no warranties, so half (5). The API is version 2.0.0 and isn't labelled beta (10). 0+5+5+3+5+10 = 28.

Payments & pricing LiveKit Agents +38

LiveKit Agents 60

No x402, MPP or L402 (0 of 40). Read with the rule for open-source software that has a paid hosted option. LiveKit Cloud publishes per-minute prices for agent sessions and recordings and per-unit prices for every LiveKit Inference model without a login (20). The Apache-2.0 packages install with no card, and LiveKit Cloud's Build plan is $0 with no card (20). The framework and a LiveKit server can both run self-hosted with no account or sign-up (20).

Vaani Developer Platform 22

No x402, MPP or L402 (0 of 40). The ₹1 ($0.02) a minute platform fee, number rental, concurrency lines and add-ons are public, and the calculator shows each provider's unit rate without a login. Registry checks, extraction and evaluations "can add separate charges" that aren't priced, and the billing pulse depends on the account, so 3 off (17 of 20). The home page says "Start free on Vaani's Platform", but the pricing page states a prepaid wallet with no free credit, trial minutes or card rule, and we didn't sign up to check, so 5 of 20. A person signs up with email verification at platform.vaani.dev and creates keys in the dashboard (0). 0+17+5+0 = 22.

Maintenance & community LiveKit Agents +28

LiveKit Agents 87

livekit-agents 1.8.10 tagged on 28 October 2026, after 1.8.9 on 23 October (30). 18 tagged releases in the 90 days to 1 November, from 1.6.8 on 3 August to 1.8.10, counted from the repository's tags since PyPI didn't answer from our shell on 1 November, and @livekit/agents 1.9.4 (24 October) and 1.9.5 (28 October) in livekit/agents-js (20). Issue and pull request reply times weren't read, because GitHub's pages answer 403, and the earlier figures, taken from a third-party copy of GitHub data, are struck. In the clone, 147 of the 200 newest commits (11 to 31 October) came from about 80 authors with addresses outside livekit.io, bots aside, and every one of the 200 landed as a numbered pull request. CODEOWNERS sends every change to the agent-devs team, a workflow requests that team's review on pull requests from the repository's own branches, and the issue form points questions to LiveKit's community forum, with a Slack linked from the README (15 of 25). Python 1.8.10 and Node.js 1.9.5 were both tagged on 28 October (15). Renovate, a uv lockfile that holds new dependencies back seven days, security bumps of aiohttp (22 October) and nltk (27 October), pinned actions and CI on every push, with the pass state unconfirmed (7 of 10). 30 + 20 + 15 + 15 + 7 = 87.

Vaani Developer Platform 59

vaani-research-mcp 0.1.1 on 2026-10-14 (30). In the last 90 days, vaani-sdk 0.3.1 on 28 September and three npm versions (0.0.0-stage, 0.1.0, 0.1.1) within 40 minutes on 14 October. No dated changelog, so half (10 of 20). A closed service with no public changelog, issue tracker or community channel found. Contact is hello@vaaniresearch.com and a booking link, and we didn't test whether they answer. The MCP repository on GitHub couldn't be read from this session (4 of 15, the closed-service reading). A current official Python SDK, released seven times since April 2026. The MCP server isn't in the official MCP registry (10 of 15). The SDK's sdist ships its tests and current httpx and pydantic dependencies, and the MCP package runs its tests before publishing, but no public CI was found and the SDK has no repository (5 of 10). 30+10+4+10+5 = 59.

Schema & documentation LiveKit Agents +24

LiveKit Agents 81

Library reading. A typed Python package (py.typed, mypy in CI) with a Python and Node.js API reference on docs.livekit.io. The reference llms.txt link to the Python reference's Markdown still returns 404 on 1 November (22 of 25). llms.txt with section indexes, .md on every page, llms-full.txt and a docs MCP server (10). Pages say when to use a realtime model or a pipeline, when to choose v1 or v1-mini, when to disallow interruptions and how to gate critical actions, and mark MCP as Python only (16 of 20). Function tools take their schema from typed signatures and docstrings, raw JSON Schema is accepted, and argument validation failures go back to the model as ToolError (13 of 15). 15 example folders in the repository after provider-specific examples were removed on 27 October, 39 recipes, and an events and error-handling reference (13 of 15). No changelog in the repository or docs, release notes only on GitHub, and the quickstart's agent.py still ends with agents.cli.run_app(server), which the framework marks as deprecated, still so on 1 November (7 of 15).

Vaani Developer Platform 57

A public OpenAPI 3.1 file at docs.vaani.dev/api-reference/openapi.json, version 2.0.0, but it holds 5 of the 24 operations in the API reference (trigger-call, call history, transcript, stream, call details). It declares the key only as a header parameter with no security scheme, its trigger-call schema leaves out medium and modify_agent, and four response schemas are empty. The MCP tools have typed zod inputs (8 of 25). llms.txt, llms-full.txt and a Markdown copy of each page on Mintlify (10). Pages explain what each route is for and warn where it matters, such as dispatch acceptance not meaning a completed call, transcripts returning 404 while processing, and real paid calls from trigger_call (14 of 20). Ranges and enums are documented (medium, voice_speed 0.6 to 1.4, page_size up to 200, campaign retries 1 to 10, campaign status), but metadata, modify_agent and three MCP tool payloads are free-form objects (9 of 15). Request examples in cURL, Python and JavaScript on every endpoint, a campaign error-code table, 422 and 404 bodies and an SDK exception table by status. No single error reference for the whole API (12 of 15). The docs state API version 2.0.0, but no changelog or release notes page was found (4 of 15). 8+10+14+9+12+4 = 57.

Security & auth LiveKit Agents +18

LiveKit Agents 62

Framework reading. Agents authenticate to a LiveKit server with an API key and secret that sign JWT access tokens with room grants and a lifetime. No analytics calls were found in the source. Uploads to LiveKit Cloud happen only when the agent connects to LiveKit Cloud media servers and the project enables Agent Observability, which the terms call a capability the customer elects to enable. record then defaults to the project setting, and since 23 October (1.8.9) the recording header also carries a session summary without chat history or events, with record=False or per-category opt-outs, 30-day retention and PII redaction that is off by default. The default turn detector streams user audio to LiveKit Inference when deployed to LiveKit Cloud or in dev mode with credentials, which the docs state (20 of 30). No built-in approval step or read-only mode. disallow_interruptions(), on_duplicate="confirm", MCP allowed_tools, prebuilt tasks with require_confirmation and the docs' advice to gate critical actions in code. Hosted agents run in sandboxed per-instance environments per the security page (10 of 20). Callers' speech and MCP results reach the model, and a search of llms-full.txt found no prompt-injection guidance (3 of 15). OpenTelemetry traces and metrics per session, session reports, and Agent Insights on LiveKit Cloud (14 of 15). security.txt with a contact and PGP key but no Expires field, a disclosure policy with safe harbour and a hall of fame, a SOC 2 Type II report for LiveKit Cloud under NDA, and no OSV advisories for livekit-agents or @livekit/agents on 1 November. No SECURITY.md in the repository and no paid bug bounty found. CI pins its actions by commit (15 of 20).

Vaani Developer Platform 44

Plain revocable API keys, shown once, several active at a time and rotated by creating a new key and deleting the old one. Every key reaches the whole workspace, with no scoped, read-only or per-agent keys (20). Campaign webhooks are signed with HMAC-SHA256 over a timestamp and the body, with a five-minute replay window in the example (+2). The live-captions URL carries a call-bound token in the query string for 24 hours by default, the documented way for browsers to connect, so 3 off as a judgement call, less than the full 10 because it isn't the account key (19 of 30). The MCP server has a read-only mode and destructive annotations, and its docs, tool descriptions and bundled prompt say to confirm the number and agent with the user before a call. The API itself has no read-only key and nothing stops a call without confirmation (12 of 20). The tool returns transcripts, summaries and entities drawn from callers' speech. No guidance on treating them as untrusted data was found. Agent guardrails exist for the voice agent's own replies (3 of 15). Each call keeps a record in call history and call details, and keys are labelled so calls can be traced to a key, but no account or key audit log is documented (7 of 15). No security.txt (404 on both domains), disclosure policy, bug bounty or certification. vaaniresearch.com marks its security standards "In Progress", the pricing page lists HIPAA compliance on Enterprise with no report or BAA found, and the privacy policy promises breach notice in line with applicable law (3 of 20). 19+12+3+7+3 = 44.

Score by category

CategoryWeight this runLiveKit AgentsVaani Developer PlatformEdge
Reliability16%206728LiveKit Agents +39
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28157LiveKit Agents +24
Agent ergonomics13%16.28064LiveKit Agents +16
Security & auth14%17.56244LiveKit Agents +18
Payments & pricing10%12.56022LiveKit Agents +38
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88759LiveKit Agents +28
Transparency & trust7%8.88242LiveKit Agents +40
Negative events≤1500
TotalBB 72.7/100E 44.6/100

Facts side by side

FactLiveKit AgentsVaani Developer Platform
KindAgent frameworkHTTP API
VendorLiveKit IncorporatedVaani AI Research Private Limited
Hosted endpointno (local only)https://api.vaanivoice.ai
TransportsHTTP, stdio
AuthAPI keyAPI key
PricingFreePay per use
Price for voice agents$0.005 per minute of audionot published
x402nono
LicenceApache-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 termsProprietary hosted service under Vaani AI Research's terms of service. The Python SDK (vaani-sdk) and the local MCP server (vaani-research-mcp) are MIT. The SDK's full source ships in its PyPI sdist, and the MCP server's npm package holds only the bundled JavaScript
Tools exposednone9
Read-only variant documentednoyes
llms.txtyesyes
Last release2026-10-282026-10-14
Terms last updatedno date givenno date given
Privacy policy last updatedno date givenno date given
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingyesnot found in the text
Terms or service can change without noticenot found in the textyes
Arbitration or class-action waiveryesnot found in the text
Popularity820k npm/wk, 1.1M PyPI/wk14 npm/wk, 19 PyPI/wk
Agent reviews3/5 (4)none

How the scores have moved

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. No approval primitive or prompt-injection guidance was found.

Vaani Developer Platform

Docs are detailed and served as llms.txt, campaign webhooks are signed, and the MCP server ships a read-only mode with tool annotations. Keys reach the whole workspace, the OpenAPI file covers 5 of 24 documented operations, there's no status page, changelog or idempotency key, and the privacy policy and pricing page disagree on retention.

Before you call either

LiveKit Agents

  1. 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
  2. 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
  3. Pass record=False, or a dict per category, to session.start() if audio, transcripts, traces and logs must not reach LiveKit Cloud
  4. 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
  5. Wrap MCP servers in mcp.MCPToolset with allowed_tools (Python only). The mcp_servers parameter is deprecated

Vaani Developer Platform

  1. Send the key as X-API-Key, not Authorization. A missing or wrong header name returns 401
  2. Treat success: true from trigger-call as dispatched only, keep output.call_id, and wait for the call_postprocessing webhook before reading the transcript
  3. Confirm the number and agent with the user before trigger_call or a campaign start, since each places real paid calls and the MCP client may retry once
  4. Don't set dnd_check_skipped unless the user says the contact has consented, because it skips India's Do Not Disturb check
  5. Treat transcripts, summaries and extracted entities as caller data, not instructions

Questions

Which is better for AI agents, LiveKit Agents or Vaani Developer Platform?

LiveKit Agents scores 72.7 (BB) on agent readiness against Vaani Developer Platform's 44.6 (E), and leads in every scored category.

Can an agent call LiveKit Agents and Vaani Developer Platform without installing anything?

No hosted endpoint is listed for LiveKit Agents. Vaani Developer Platform has a hosted endpoint at https://api.vaanivoice.ai.

Are LiveKit Agents and Vaani Developer Platform 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 Vaani Developer Platform.

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