afi-cli 0.3.0

Agent First Interface — scaffold CLI, MCP, and HTTP interfaces for agent-first tools.

afi-cli

Agent First Interface — scaffold tools whose primary consumer is an AI agent, not a human.

From a single source of truth, afi-cli generates three interface surfaces, each shaped by a different agent-ergonomic principle:

• CLI — with a learn affordance so an agent can introspect the tool and author its own usage skill (not just read --help).
• MCP server — a deliberately minimal menu, tuned for low surface area over maximal API coverage.
• HTTP site — markdown pages plus a sitemap, navigable by any agent with a fetch tool.

Part of the AgentCulture OSS org — see docs/agentculture.md for the org, its paradigm, and how afi-cli is foundational to it. The design brief is in docs/agent-first.md; the concrete rubric that afi cli verify enforces is in docs/rubric.md.

Install

uv tool install afi-cli

Then afi --version should work on your PATH. uv tool install is the supported path — not pip install.

Usage

Every afi command supports --json where it produces a listing or report, and respects the exit-code policy (0 success / 1 user error / 2 env error).

Introspect

afi learn                         # structured self-teaching prompt for an agent
afi learn --json                  # same, as a JSON payload
afi explain cli cite              # markdown docs for any noun/verb path
afi explain afi                   # top-level map

CLI scaffolding

afi cli cite [path]               # emit the agent-first reference tree into
                                  # <path>/.afi/reference/python-cli/ (tokens left literal,
                                  # adds `.afi/` to .gitignore)
afi cli verify [path]             # audit a CLI at <path> against the five-bundle rubric
afi cli verify . --json           # full structured report
afi cli verify . --strict         # treat warnings as failures

afi cli cite writes only under .afi/ plus one line in .gitignore — it never modifies the rest of the target project. The emitted tree has literal {{project_name}}, {{slug}}, {{module}} tokens; an agent reads the accompanying AGENT.md and applies the pattern to the host project on its own terms.

afi cli verify is a hybrid auditor: static checks for repo structure (pyproject.toml, tests/) and black-box subprocess probes for behavior (learn, --json, error discipline, explain). Every failure includes a concrete remediation pointer.

MCP / HTTP

Not implemented yet. Planned for v0.4 / v0.5.

Develop

uv sync                          # install + dev deps
uv run pytest -n auto -v         # tests (includes the self-verify acceptance gate)
uv run afi cli verify .          # same gate, interactive
uv run pre-commit install        # enable lint hooks

The tests/test_self_verify.py acceptance gate runs the rubric in-process against the repo root; any regression that breaks a bundle blocks the commit.

See CLAUDE.md for design intent and full command reference.

License

MIT. © 2026 Ori Nachum / AgentCulture.