hotato 1.15.1

Local-first testing and observability for AI agents. Trace, evaluate, simulate, and gate agents on your own infrastructure: deterministic, byte-reproducible, free, MIT, CI-native. Nothing leaves your machine.

hotato

Local-first testing and observability for AI agents.

Your evals are green. Your agent still ships bugs they can't see: talk-over, dead air, a tool it swore it ran. hotato catches them on your machine and gates CI so they stay fixed.

hotato.dev

Free, open-source, and deterministic: the same call scores the same way every run, so you can gate a build on it. Your traces and prompts never leave your machine, and there's no per-seat or per-event bill as you scale.

Your first catch in seconds. One command, no account:

$ uvx hotato start --demo
Conversation failed: Agent did not yield; measured talk-over was 2.66 s.
    talk-over     2.66s   the agent kept talking while the caller held the floor

That transcript passed every text eval. The timing did not. hotato pins the catch as a CI contract that reproduces byte for byte, so a fixed bug stays fixed. It measures timing and say-do, not intent.

The loop

Turn production failures into portable tests, run candidate releases against them, and carry evidence with every release. Five steps, one command each, nothing leaves your machine.

Observe	traces, tokens, cost, and latency, from the OTel spans you already emit	hotato observe report traces/
Catch	deterministic scoring finds what text evals miss: timing, say-do, policy	hotato investigate call.wav
Pin	your label turns the catch into a portable, content-addressed contract	hotato investigate label STATE#1 --expect yield
Test	simulate, stress, and drive candidates against everything you pinned	hotato gauntlet
Prove	every evidence lane composed into one fail-closed, content-addressed proof, in CI	hotato prove --contracts contracts/

Deterministic. Byte-reproducible. Free, MIT. Agent-native over MCP. Every verdict carries its evidence across five dimensions (outcome, policy, conversation, speech, reliability), and production feeds the next loop: hotato production export-regression turns a live session back into a test.

The whole loop, command by command: docs/LIFECYCLE.md.

Why it is different

Same loop a hosted platform runs. Three things it cannot offer.

	hotato	Hosted platforms
Observe, catch, pin, test, prove	yes	yes
Price at scale	free, MIT, any volume	metered per seat and per event
Verdicts	byte-for-byte reproducible, gate a build	model-judge lanes vary run to run
Your traces and prompts	stay on your machine	live on their servers
Runs in CI, offline	yes	needs their service

Full comparison: docs/COMPARE.md

From a bad call to a proof

One recording in. The pinned failure becomes a gate that stays red until the agent stops failing that call, and every gate you have composes into one receipt whose headline states exactly what it establishes:

$ hotato investigate ./call.wav
  most likely failure: [1] the agent talked over the caller for 2.66s
  next: hotato investigate label '.hotato/investigate-state.json#1' --expect yield

$ hotato investigate label '.hotato/investigate-state.json#1' --expect yield
  created hotato contract: call-8s-yield

$ hotato prove --contracts contracts/
Captured Evidence: FAIL
  A lane failed or regressed; see the table.
  contracts  fail  contracts=1 passed=0 failed=1
content_id: sha256:c907143d711a84ae...

hotato prove composes every lane you have (contracts, suites, before/after batteries, the stress suite) into one fail-closed, content-addressed receipt: pass only when every lane passed, and "could not tell" is never green. The headline is the claim scope the evidence supports, never more: contracts alone re-measure stored evidence (Captured Evidence), a suite establishes a Test Suite ran, and a before/after run reaches Candidate Revision only when you bind the candidate identity (--candidate-config-hash, --provider).

Quickstart

# 1. catch a failure on two bundled calls (no account; exits 0)
uvx hotato start --demo
# 2. score your own recording (or a transcript: --transcript t.json)
hotato investigate ./call.wav
# 3. pin the caught moment as a regression contract
hotato investigate label '.hotato/investigate-state.json#1' --expect yield
# 4. compose every gate into one proof, scoped to what it establishes
hotato prove --contracts contracts/

Keep it with pipx install hotato, drive it over MCP with uvx --from "hotato[mcp]" hotato-mcp, or walk the path in docs/GETTING-STARTED.md.

Wire it into CI

The step's exit code is the verdict: 0 pass, 1 fail, 2 refuse.

# .github/workflows/voice-qa.yml
on: [pull_request]
jobs:
  hotato:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: attenlabs/hotato@v1.15.1
        with:
          contracts: contracts/
          hotato-version: 1.15.1

Copy-paste workflow with a commit-SHA pin: docs/CI.md.

Feed it what you already have

Every onramp feeds the same offline scoring and the same 0 / 1 / 2 exit contract.

hotato pull --stack vapi --limit 10          # your stack's recorded calls
hotato trace ingest --otel traces.jsonl      # the OTel spans you already log
hotato simulate demo.scenario.json --out ./sim   # scripted fixtures, no production audio

Details: docs/CONNECT.md · docs/TRACE.md · docs/SIMULATE.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. The MCP server exposes the scorer plus read/verify/propose tools over local stdio (docs/MCP.md).

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 local, and the local-judge lane is opt-in and quality-gated, separate from the deterministic core.

Specifications

Property	Value
Footprint	~10 MiB installed, 0 runtime dependencies (stdlib-only)
Reproducibility	byte-for-byte, content-addressed contract
Exit contract	0 pass · 1 fail · 2 refuse
Release integrity	OIDC Trusted Publishing + build-provenance attested
Runtime	offline, off the production data path

Verify the measurement yourself

PYTHONPATH=src python3 -m hotato.benchmark \
  --scenarios corpus/real/scenarios --audio corpus/real/audio

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).

Contribute

Issues and PRs welcome: CONTRIBUTING.md · SECURITY.md · CHANGELOG · docs/

License

MIT (LICENSE)

_{Know when to pass it on.}

mcp-name: io.github.attenlabs/hotato