VoiceGateway

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VoiceGatewayCost tracking and reconciliation for LiveKit voice agents

Modality-aware unit accounting. LLM prices from pydantic/genai-prices. Verify against provider invoices with voicegw reconcile.

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VoiceGateway
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One-line drop-in for livekit.agents.inference

voicegateway.inference.STT, LLM, TTS mirror LiveKit's inference module signature. Swap the import line; the rest of your agent code keeps working. Cost tracking, latency monitoring, and session correlation happen transparently.

See the integration

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Modality-aware unit accounting

LLM cost per-1k-token, STT cost per-audio-minute, TTS cost per-character. LLM prices come from pydantic/genai-prices (1,100+ models, monthly releases). STT and TTS live in a local catalog with explicit pricing_source_date metadata.

How it works

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Reconciliation tooling

voicegw export-costs and voicegw reconcile compare logged costs against your provider's usage export. Per-request line items carry pricing_source attribution. LLM costs may drift up to ~5%; reconciliation is the verification path.

Walk through reconcile

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MCP server for agent-managed config

17 tools (configure providers, create projects with daily budgets, query costs, tail logs, run health checks) over stdio and HTTP/SSE. Claude Code, Cursor, Codex, and Cline can all manage the gateway conversationally.

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Where VoiceGateway fits ​

VoiceGateway is purpose-built for LiveKit voice agents that want cost visibility per modality (audio-minutes for STT, tokens for LLM, characters for TTS) and reconciliation against actual provider invoices. For a longer breakdown of which tool fits which workload, see the decision tree.

Install ​

bash
pip install voicegateway[all]
bash
git clone https://github.com/mahimailabs/voicegateway
cd voicegateway
docker compose up -d

Use from Claude Code ​

bash
claude mcp add voicegateway --command "voicegw mcp --transport stdio"

Now ask Claude Code:

"Add Deepgram with this API key. Register nova-3 for STT. Create a project for Tony's Pizza with a five dollar daily budget using premium stack."

Done in 30 seconds. No YAML editing, no dashboard clicking.

Released under the MIT License.

Copyright 2026 Mahimai Labs