
Hotato
io.github.attenlabs由 GitHub 帳號 attenlabs 發布v1.9.0更新於 Oct 24, 2026
Open-source, self-hosted conversation QA for voice agents. MIT.
概覽
開源、離線的語音代理通話品管工具:為錄音與追蹤評分、找出時序問題,並把問題固化成 CI 失敗檢查。
- 可以做什麼
- 為通話音訊與追蹤評分,找出說做不一致、延遲飆升、靜默與搶話
- 抓取並檢查 Vapi、Retell、Bland、Synthflow、Millis 等平台的通話
- 分析本機錄音與轉錄文字,產出 HTML 與 JSON 報告
- 掃描資料夾觀察趨勢,並把單一事件固化成可重複執行的失敗檢查
- 重跑已存的檢查讓建置失敗,並透過 MCP 工具提供評分、讀取、驗證與提議
- 適用情境
- 適合正在開發或維運語音代理、想找出輪次時序、打斷處理與延遲方面的回歸,或想用 CI 卡住某個已錄製故障的團隊。也適合偏好本機離線工具而非託管品管服務的情境。
- 執行需求
- 以 Python 套件形式透過 stdio 在本機執行,用 uvx 從 hotato 的 mcp 附加元件啟動,需要 Python 與 uv。平台檢查會從環境變數讀取 API 金鑰,例如 VAPI_API_KEY 與 RETELL_API_KEY。核心功能可離線使用,不需帳號或金鑰;可選的自架語言模型評分是另外的附加元件。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Hotato,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
[PyPI version] [Downloads per month] [Python versions] [CI status] [MIT license]
hotato
Find what broke in your agent calls. Pin it and CI stays red until you fix it.
Zero config. Vapi, Retell, Bland, Synthflow, Millis, or local audio. Works with any recording: mono, dual-channel, or a transcript. Timing math, not a judge. Offline. Free. MIT.
What it finds
- Say-do gaps: the caller interrupts to cancel (a barge-in), the agent says "canceled", the booking tool fires anyway. hotato takes the turn timing from the audio and the tool call from your OTel trace.
- Latency spikes: the pause before a reply going from 800 ms to over 2 s.
- Dead air: that pause reaching 5 s, or the line going quiet.
- Talk-over: the agent starts a fresh utterance over the caller.
Quickstart
Vapi
Open report.html: every critical incident, timestamped, and your Voice Stability Score.
Retell
--call-id is required and repeatable: you name the Retell calls to pull.
hotato bland health, hotato synthflow health, and hotato millis health
follow the Vapi shape. Those stacks mix both voices onto one channel, so
they measure silence timing, dead air and latency gaps, each finding with
its measured confidence; barge-in and talk-over need two channels.
Local audio
Writes a self-contained HTML report to hotato-output/, plus the JSON
pin reads. Open the HTML in your browser.
From finding a bug to gating on it
autopsy turns one recording into timestamped incidents. scan reads a
folder and tracks the trend. When you are ready, move a finding into CI:
hotato pin turns one incident into a portable failure check, and hotato prove re-runs every stored check and fails the build rather than pass on
evidence it cannot re-read. Every verdict carries its own evidence across
five dimensions: outcome, policy, conversation, speech, reliability.
A pinned check re-measures its own stored recording, so it holds the build
red on that bug and catches an edited bundle, a loosened policy, or an
engine upgrade that scores the same bytes differently. Clearing it takes a
fresh recording of the same moment against the current agent: hotato drive <bundle> places that call on Vapi or Twilio, and
docs/RECAPTURE.md is the walkthrough for every other
stack.
For continuous use: run hotato vapi health on a schedule, and open
hotato console --production-db evidence.db to watch calls land live.
Wire it into CI
The exit code is the verdict: 0 pass, 1 fail, 2 refuse (could not tell).
contracts/ holds what pin wrote. Full workflow: docs/CI.md.
Point your agent at it
Point Claude Code, Cursor, or any coding agent at this repo: it reads
AGENTS.md and runs the loop end to end offline, no key. Over local
stdio the MCP server adds the scorer plus read/verify/propose tools:
uvx --from "hotato[mcp]" hotato-mcp (docs/MCP.md). Deploying is yours.
Nothing leaves your machine
hotato runs offline, on the machine that invokes it. The core is stdlib-only Python: no account, no key, no network call of its own. Your traces, prompts, and audio stay on your disk. Scoring with a language model you host yourself is a separate opt-in add-on, outside that core.
Go deeper
The whole loop, command by command: docs/LIFECYCLE.md.
First touch to a CI gate: docs/GETTING-STARTED.md.
Feed it what you already have: docs/CONNECT.md ·
docs/TRACE.md · docs/SIMULATE.md.
What every verdict stands on: docs/EVIDENCE-CONTRACT.md.
Next to the hosted alternatives: docs/COMPARE.md.
The deep toolkit -- capture, simulation, load, benchmarking, the fix ladder,
the fleet control plane -- lives under hotato lab (hotato lab --help).
The public commands are durable. hotato lab moves faster, and every
command name that worked before 1.17 still runs unchanged.
Specifications
Verify the measurement yourself
On 13 recorded AMI Meeting Corpus clips, the median error between measured caller-onset and the human word-alignment label is 20 ms. Provenance: corpus/real/README.md · method: METHODOLOGY.md.
Timing is measurable only when the two voices arrive on separate channels; a mono or mixed export is marked NOT SCORABLE and refused (hotato trust --stereo call.wav). The full four-tier evidence policy (what each verdict stands on, per input) is docs/EVIDENCE-CONTRACT.md.
Contribute
Issues and PRs welcome: CONTRIBUTING.md · SECURITY.md · CHANGELOG · docs/
License
MIT (LICENSE)
mcp-name: io.github.attenlabs/hotato
來源:README.md,提交 f54713a
工具
0版本歷史
1- v1.9.0最新Sep 16, 2026
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