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lex-align

lex-align

Docs · Getting started · Agent support · For agents

lex-align enforces your dependency policy before AI agents or developers can commit it. Every package gets checked against your approved registry, OSV CVE scores, and license rules — returning one of three deterministic verdicts so agents can act without ambiguity. Full docs at dlfelps.github.io/lex-align.


Why

Your AI coding agent adds packages to pyproject.toml faster than anyone can review them. By the time legal notices the AGPL dep, or security spots the critical CVE, it's already in main. You need the check to happen before the bytes are written, not after the PR is open.


How it works

A FastAPI server is the source of truth. The client is thin: a CLI plus hooks.

  • Three gates per check: internal registry → OSV CVE → PyPI license.
  • Three-verdict vocabulary: ALLOWED, PROVISIONALLY_ALLOWED, DENIED — small, deterministic, easy for an agent to branch on.
  • Two enforcement points: a git pre-commit hook (universal backstop, fires for every agent and every human committing to a governed repo) and a Claude Code PreToolUse hook that intercepts pyproject.toml edits before the file is written.
  • Use first, approve in parallel: an unknown package that passes CVE and license checks comes back PROVISIONALLY_ALLOWED. The agent uses it, calls request-approval, and keeps moving — formal review runs async.

Python and pyproject.toml only. Self-hosted via Docker Compose. Single-user mode is the default.


Quickstart

Single-user / evaluation (no Docker):

pip install lex-align
lex-align-server quickstart        # ~/.lexalign + in-process server on :8765

# in another terminal, per-project
cd /path/to/your/project
lex-align-client init --yes
lex-align-client audit             # vet existing pyproject.toml deps
lex-align-client status            # one-screen overview

In single-user mode the PreToolUse hook auto-enqueues approval requests when it sees PROVISIONALLY_ALLOWED, so the user-as-reviewer flow stays a single tool call. See the Single-user Quickstart.

Team deployment (Docker Compose):

# Server (host you control)
pip install lex-align
lex-align-server init && cd lexalign
lex-align-server registry compile registry.yml registry.json
docker compose up -d

# Client (per-project)
pip install lex-align
cd /path/to/your/project
lex-align-client init
lex-align-client check --package httpx

For server tuning, registry authoring, hook layout, and Claude Code wiring, see the full Getting Started guide.


Agent support

Primary target is Claude Code — pre-commit hook, PreToolUse edit-time intercept, and an auto-written CLAUDE.md so every session knows how to use check and request-approval. Cursor, Aider, and anything else committing to a governed repo are backstopped by the pre-commit hook. Full matrix: agent support.


Project status

Phase Status
1. Server core (registry, license, CVE, audit, evaluate) ✅ shipped
2. Thin client (init, check, request-approval, pre-commit, Claude hooks) ✅ shipped
3. Approval workflow UI + reporting endpoints + agent identity ✅ shipped
4. Pluggable org-mode auth ✅ shipped
5. Pluggable approval proposers (local-file, local-git, GitHub PR) + hot-reload ✅ shipped
6. Single-user workflow (quickstart, audit, status, auto-enqueue) ✅ shipped

Every registry change now flows through a proposer: opens a PR (GitHub), commits to a local repo (local-git), writes the YAML directly (local-file), or just logs (log-only / evaluation). The server hot-reloads on merge or YAML write — no restarts. See Approvals & Reloads for the full flow, GitHub permission requirements, and the "why-is-this-pending" panel on the dashboard.

The dashboard's classify endpoint that mutated the in-memory registry in Phase 3 is gone — every change now has a single source of truth in registry.yml, with a reload trigger pulling the new state into memory.

sequenceDiagram
    participant Agent
    participant CLI as lex-align-client
    participant Server as lex-align-server
    participant Proposer
    participant Repo as registry.yml
    participant ReviewDash as Reviewer<br/>(dashboard)

    Agent->>CLI: request-approval<br/>(package, rationale)
    CLI->>Server: POST /approval-requests
    Server->>Proposer: propose(rule)
    alt GitHub backend
        Proposer->>Repo: branch, commit, push
        Proposer->>Repo: open PR
    else Local backends
        Proposer->>Repo: write/commit to YAML
    end
    ReviewDash->>ReviewDash: review pending<br/>request
    ReviewDash->>Server: POST /registry/proposals<br/>(approve/modify)
    ReviewDash->>Repo: merge PR / file saved
    Server->>Server: hot reload:<br/>recompile schema
    Server->>Server: atomic registry swap
    Agent->>CLI: check --package
    CLI->>Server: POST /evaluate
    Server-->>CLI: ALLOWED<br/>(package in registry)
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Contributing

uv sync --all-groups
uv run pytest

Tests live under tests/client/ and tests/server/. PRs welcome — file issues for bugs, license-policy edge cases, or agent-integration gaps.


License

See LICENSE.

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Enterprise governance platform that ensures all code generated by AI agents or developers is legally compliant, architecturally sound, and secure.

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