ai-ify

Embed an AI agent inside any app. The person chats with it in a panel inside the app (or opens a console on the same conversation); the agent runs on the Claude or Codex subscription already logged in on the machine, and controls the app only in the ways the app's developer allows: backend actions, named UI commands, and an automatic tree of the page's controls.

Install

pip install "ai-ify[web]"     # chat panel for FastAPI apps
pip install ai-ify            # control port and the aiify command only

Also needed: Node.js with npx (the first chat downloads the agent adapter, which brings its own copy of Claude Code or Codex), and a Claude or ChatGPT subscription. People who are not signed in get a "Sign in" card in the panel. No API key is used.

Use

from aiify import Agent, Profile
from aiify.actions import from_functions

agent = Agent(
    app="myapp",
    actions=from_functions({"notes.add": add_note, "notes.clear": clear_notes},
                           destructive=["notes.clear"]),
    profiles={"default": Profile(provider="claude")},
)
agent.mount(fastapi_app)          # chat panel + websocket + local control port

and in the page:

<script src="/aiify/panel.js" defer></script>

The app can add its own context: rules on what the person typed or the model in use (When(prompt="cost", add_instructions=price_note)), and buttons that start the assistant with their own set-up (launches={"explain": Launch(...)}, then <button data-aiify-launch="explain">). See python -m aiify.context context. Hooks before and after each message, suggested prompts, locked pickers, one-off questions from code (await agent.ask(...)), attachments, app notes, and queued or scheduled messages are each one switch: python -m aiify.context chat-options.

Destructive actions show a "Run it?" card before they run. Agents (the embedded one, or any other on the machine) reach the running app with the aiify command: aiify apps, aiify --app myapp action.list, aiify --app myapp ui tree.

Helper setup and defaults

The app developer configures these helpers before shipping. People using the app just chat; the panel has no helper switches. Think of a toolbox: the developer packs it, and the assistant chooses which tool to use for each request.

flowchart TB
    subgraph Setup["App developer - before shipping"]
        A["No setup for guidance search"]
        B["Run map generator and ship the guide"]
        C["Generate, review and verify shortcuts; supply their folder"]
        D["Optionally enable selected web routes"]
    end
    subgraph Runtime["Normal use - automatic loading"]
        E["Guidance search available"]
        F["Shipped map found and read"]
        G["Supplied shortcuts loaded and enabled"]
        H["Selected routes exposed as actions"]
    end
    A --> E
    B --> F
    C --> G
    D --> H
    E --> I["Assistant chooses what to use for the user's request"]
    F --> I
    G --> I
    H --> I

Generation is automated after the developer starts it. Reviewing, verifying, rebuilding when the app changes, and packaging the generated files remain release responsibilities. Neither maps nor shortcut bundles are generated during ordinary chats. See the discovery guide and preparation guide for the generation commands.

from pathlib import Path
from aiify import Agent

# Defaults: guidance search on, shipped map auto-discovered, routes off.
agent = Agent("myapp")

# A host that ships reviewed, verified shortcuts supplies their folder.
agent = Agent("myapp", prepared=Path(__file__).parent / "aiify_prepared")

# Optional route actions; guidance and map defaults still apply.
agent = Agent("myapp", routes=["/api/samples*"])

# Explicitly disable the default discovery helpers; supply no shortcut bundle.
agent = Agent("myapp", how=False, app_map=None, prepared=None, routes=False)

The developer can use agent.set_helpers(...) to switch configured helpers off and back on for the next chat, including prepared=False for a loaded bundle. Routes must have been enabled when mounting, and maps and bundles must have been supplied; this switch does not discover new bundles or generate missing files. The defaults match the lowest-token tested Circadian Workbench configuration when its map and verified shortcuts are supplied; other apps may differ.

Documentation

• Usage guide, shipped with the package: python -m aiify.context [topic], or from aiify import context; print(context.read()). Also as README_AI.md.
• Embedding guide, with Circadian Workbench as the worked example.
• Message format.

Development

python -m venv .venv
.venv/bin/python -m pip install -e ".[web,test]"     # Windows: .venv\Scripts\python.exe
.venv/bin/python -m pytest -m "not browser"          # browser tests need Edge or Playwright's Chromium

Releases are published by GitHub Actions when a vX.Y.Z tag matching the package version is pushed (RELEASING.md).

Install name ai-ify, import name aiify. MIT licence. The bundled page-controller (Alibaba, MIT) builds the page control tree.