
Hotato
io.github.attenlabs由 GitHub 账号 attenlabs 发布v1.9.0更新于 Oct 24, 2026
Open-source, self-hosted conversation QA for voice agents. MIT.
概览
开源、离线的语音智能体通话质检工具:对录音与追踪打分,找出时序问题,并把问题固化为 CI 失败检查。
- 可以做什么
- 对通话音频与追踪打分,识别说做不一致、延迟飙升、静默和抢话
- 拉取并检查 Vapi、Retell、Bland、Synthflow、Millis 等平台的通话
- 分析本地录音与转写文本,生成 HTML 与 JSON 报告
- 扫描文件夹查看趋势,并把单个事件固化为可重复运行的失败检查
- 重跑已存检查以让构建失败,并通过 MCP 工具提供评分、读取、验证与提议
- 适用场景
- 适合正在开发或运维语音智能体、希望发现轮次时序、打断处理与延迟方面回归,或想用 CI 卡住某个已录制的故障的团队。也适合偏好本地离线工具而非托管质检服务的场景。
- 运行要求
- 以 Python 包形式通过 stdio 在本机运行,用 uvx 从 hotato 的 mcp 附加组件启动,需要 Python 与 uv。平台检查从环境变量读取 API 密钥,例如 VAPI_API_KEY 与 RETELL_API_KEY。核心功能离线可用,无需账号或密钥;可选的自托管语言模型评分是单独的附加组件。
安装
在 SourceWeft 中
- 打开 控制台中的 Hotato,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
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
来源:README.md,提交 f54713a
工具
0版本历史
1- v1.9.0最新Sep 16, 2026
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