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valcore

A small, self-contained local tool for developing, improving, and running agentic evaluations. Author evaluators in a web UI, run them over datasets from the command line, and gate CI on their accuracy.

Install

With Homebrew:

brew install duncankmckinnon/tap/valcore

Or as a uv tool:

uv tool install valcore

Either way you get an valcore command on your PATH.

Quickstart

Store your gateway API key, then start the app:

valcore config set-key sk-...
valcore serve

serve starts the web UI and API on http://127.0.0.1:8000 and opens a browser (pass --no-browser to skip that, or --port to bind elsewhere). Author evaluators and datasets in the UI, then drive runs from the command line.

The gateway key is stored in ~/.valcore/config.toml (mode 0600) and exported to pydantic-ai as PYDANTIC_AI_GATEWAY_API_KEY when a command runs. An already-exported environment variable always wins over the stored key. Run valcore config set-key with no argument to be prompted without echoing the key.

Commands

Command What it does
valcore serve Serve the web UI and API (--port, --host, --no-browser).
valcore list <evaluators|datasets|runs> List resources as a table or, with --json, as JSON.
valcore run <evaluator> <dataset> Run an evaluator version over a dataset.
valcore export <evaluator> Export an evaluator version as a standalone Python script.
valcore config set-key [KEY] Store the gateway API key in the config file.
valcore config get Show the current config (the key is masked unless --show-key).
valcore config path Print the path to the config file.
valcore config edit Open the config file in $EDITOR.
valcore version Print the installed valcore version.

Evaluators, versions, and datasets are addressable by name or by a unique id prefix; an ambiguous value is an error that lists the candidates. Pass --db PATH on the group to point at a SQLite database other than the default under ~/.valcore.

run accepts --version (defaults to the active version), --kind, --concurrency, --watch (one line per completed row), --json, and --min-accuracy. Progress goes to stderr and results go to stdout, so redirecting stdout yields clean JSON. The CLI talks to SQLite directly, so run works whether or not serve is up.

Using valcore in CI

run --json emits a single object with run metadata, metrics, and per-row scores, and --min-accuracy turns a validation run into a pass/fail gate:

valcore run my-evaluator my-dataset \
  --kind validation \
  --min-accuracy 0.9 \
  --json > run.json

Exit codes:

Exit Meaning
0 The run finished and, if --min-accuracy was set, accuracy met the threshold.
1 The run failed, or a domain error occurred (printed as error: <message> on stderr).
2 Accuracy fell below --min-accuracy.

--min-accuracy requires a categorical accuracy metric; numeric or unlabeled runs have no accuracy and error rather than silently passing.

~/.valcore

All state lives under ~/.valcore (mode 0700). Set VALCORE_HOME to relocate it.

~/.valcore/              0700
  config.toml              0600  gateway key + defaults
  valcore.db             SQLite (plus -wal, -shm)
  logs/                    serve logs

Development

uv sync                    # install dependencies into a local venv
uv run pytest              # run the test suite

The web UI is a Vite + React SPA under web/:

cd web
npm install
npm run dev                # Vite dev server, proxying the API

To build the SPA into the wheel, run npm run build and copy web/dist/ into src/valcore/web_dist/ before uv build; the release workflow does this automatically on a v* tag.

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