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cytario-cli

CLI for working with Cytario storage connections as the signed-in user — designed for AI agents and analysts who need to work with connection data using the workstation's standard AWS tooling.

What it does

  • cytario auth login --host <url> — browser sign-in (OAuth 2.0 Authorization Code + PKCE against the deployment's identity service; a loopback redirect receives the result). The refresh grant is stored user-private (~/.config/cytario/cli, 0600).
  • cytario connections list [--json] — the connections visible to you, with the storage role and access level your grant resolves to.
  • cytario connections setup [--all | <name>] — writes one AWS CLI profile per connection into ~/.aws/config ([profile cytario-<name>]) with web_identity_token_file, so aws / boto3 / pandas perform AssumeRoleWithWebIdentity themselves — with exactly your grant's authorization, never wider.
  • cytario auth status [--json] — the signed-in host, user (Keycloak sub, email, name), and token state; --json emits it machine-readable (agents need the sub to address per-user files such as settings.<sub>.json view presets).
  • cytario image describe s3://<bucket>/<key> — an image's metadata and per-channel contrast limits as JSON, computed by the web app's real viewer code: opens the /agent/describe route in the browser under your signed-in session and receives the result on a loopback redirect. Requires a cytario-web deployment that ships the route.
  • cytario auth token / cytario auth refresh — a fresh ID token on stdout, and a rewrite of all managed token files (tokens live ~1 hour).

Agents: see the packaged skill file (src/cytario_cli/skills/cytario-cli.md) for the tool-neutral agent workflow shipped with this repo — what Cytario is, how its data (annotations, view settings, results, job configs) is laid out in your buckets, and the CLI workflow on top.

Installing the skill

The skill file ships inside the PyPI package and is installed for your AI tooling with one command (no network fetch — the copy always matches the installed CLI version):

cytario skill install

The command probes the config directories of common AI tools (Claude Code, OpenCode, Cursor, Codex CLI) and writes the skill where each tool discovers it: <skills>/cytario-cli/SKILL.md for Claude Code, OpenCode, and Codex CLI (per-skill directory convention), a flat rule file for Cursor. Re-running it after a CLI update refreshes stale copies (a locally modified copy is never overwritten without --force). Useful variations:

cytario skill list --json   # what is detected, and the install state
cytario skill install --tool claude-code
cytario skill install --path ~/.my-agent/skills

For tools without a skills mechanism, paste the file's contents into your agent's system prompt or project instructions — the file is self-contained (cytario skill install --path <dir> writes it anywhere).

Install

uv tool install cytario-cli   # or: pip install cytario-cli

Python ≥ 3.10. The CLI is a public OIDC client — no secrets are shipped or stored beyond your own refresh grant.

Usage

cytario auth login --host https://app.cytario.com
cytario connections list
cytario connections setup --all
cytario image describe s3://mybucket/prefix/slide.ome.tif
aws s3 ls --profile cytario-mybucket

Host resolution order: --host, then CYTARIO_HOST, then the last signed-in host. The host is the cytario web app (e.g. https://app.cytario.com) — not the identity host (https://auth.cytario.com); the CLI derives the identity endpoints from it automatically.

Security model

  • Your authorization is exactly your Cytario grant on each connection (read-only / annotate / read-write / admin); bucket sharing stays confined to the web app.
  • No long-lived AWS keys are written; the AWS CLI federates per operation from the token file, and the CLI refreshes tokens before expiry.
  • Revocation: revoking the CLI session in the identity service (or removing your group membership) ends the CLI's access within one token lifetime.

Development

uv sync
uv run ruff format --check && uv run ruff check
uv run pytest

Releases are cut by python-semantic-release on Conventional Commits and published to PyPI via trusted publishing.

License

MIT — see LICENSE.

Metadata

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