apcore-cli 0.3.1

Terminal adapter for apcore — execute AI-Perceivable modules from the command line

apcore-cli

Terminal adapter for apcore. Execute AI-Perceivable modules from the command line.

Python SDK	github.com/aiperceivable/apcore-cli-python
Spec repo	github.com/aiperceivable/apcore-cli
apcore core	github.com/aiperceivable/apcore

apcore-cli turns any apcore-based project into a fully featured CLI tool — with zero code changes to your existing modules.

┌──────────────────┐
│  django-apcore   │  <- your existing apcore project (unchanged)
│  flask-apcore    │
│  ...             │
└────────┬─────────┘
         │  extensions directory
         v
┌──────────────────┐
│   apcore-cli     │  <- just install & point to extensions dir
└───┬──────────┬───┘
    │          │
    v          v
 Terminal    Unix
 Commands    Pipes

Design Philosophy

• Zero intrusion -- your apcore project needs no code changes, no imports, no dependencies on apcore-cli
• Zero configuration -- point to an extensions directory, everything is auto-discovered
• Pure adapter -- apcore-cli reads from the apcore Registry; it never modifies your modules
• Unix-native -- JSON output for pipes, rich tables for terminals, STDIN input, shell completions

Installation

pip install apcore-cli

Requires Python 3.11+ and apcore >= 0.14.0.

Quick Start

Try it now

The repo includes 8 example modules you can run immediately:

git clone https://github.com/aiperceivable/apcore-cli-python.git
cd apcore-cli-python
pip install -e ".[dev]"

# Run a module
apcore-cli --extensions-dir examples/extensions math.add --a 5 --b 10
# {"sum": 15}

# List all modules
apcore-cli --extensions-dir examples/extensions list --format json

# Run all examples
bash examples/run_examples.sh

See Examples for the full list of example modules and usage patterns.

Zero-code approach

If you already have an apcore-based project with an extensions directory:

# Execute a module
apcore-cli --extensions-dir ./extensions math.add --a 42 --b 58

# Or set the env var once
export APCORE_EXTENSIONS_ROOT=./extensions
apcore-cli math.add --a 42 --b 58

All modules are auto-discovered. CLI flags are auto-generated from each module's JSON Schema.

Programmatic approach (Python API)

from apcore import Registry, Executor
from apcore_cli.__main__ import create_cli

# Build the CLI from your registry
cli = create_cli(extensions_dir="./extensions")
cli(standalone_mode=True)

Or use the LazyModuleGroup directly with Click:

import click
from apcore import Registry, Executor
from apcore_cli.cli import LazyModuleGroup

registry = Registry(extensions_dir="./extensions")
registry.discover()
executor = Executor(registry)

@click.group(cls=LazyModuleGroup, registry=registry, executor=executor)
def cli():
    pass

cli()

Adding Custom Commands

Fastest way (30 seconds)

apcore-cli init module ops.deploy -d "Deploy to environment"
# Edit the generated file, add your logic

Zero-import way (convention discovery)

Drop a plain Python function into commands/:

# commands/deploy.py
def deploy(env: str, tag: str = "latest") -> dict:
    """Deploy the app to the given environment."""
    return {"status": "deployed", "env": env}

Then run with --commands-dir commands/:

apcore-cli --commands-dir commands/ deploy deploy --env prod

The init module command supports three styles via --style:

• convention (default) — generates a plain Python function in the commands directory
• decorator — generates a @module-decorated function in the extensions directory
• binding — generates a .binding.yaml file

Integration with Existing Projects

Typical apcore project structure

your-project/
├── extensions/          <- modules live here
│   ├── math/
│   │   └── add.py
│   ├── text/
│   │   └── upper.py
│   └── ...
├── your_app.py          <- your existing code (untouched)
└── ...

Adding CLI support

No changes to your project. Just install and run:

pip install apcore-cli
apcore-cli --extensions-dir ./extensions list
apcore-cli --extensions-dir ./extensions math.add --a 5 --b 10

STDIN piping (Unix pipes)

# Pipe JSON input
echo '{"a": 100, "b": 200}' | apcore-cli math.add --input -
# {"sum": 300}

# CLI flags override STDIN values
echo '{"a": 1, "b": 2}' | apcore-cli math.add --input - --a 999
# {"sum": 1001}

# Chain with other tools
apcore-cli sysutil.info | jq '.os, .hostname'

CLI Reference

apcore-cli [OPTIONS] COMMAND [ARGS]

Global Options

Option	Default	Description
--extensions-dir	./extensions	Path to apcore extensions directory
--log-level	WARNING	Logging: DEBUG, INFO, WARNING, ERROR
--version		Show version and exit
--help		Show help and exit

Built-in Commands

Command	Description
list	List available modules with optional tag filtering
describe <module_id>	Show full module metadata and schemas
completion <shell>	Generate shell completion script (bash/zsh/fish)
man <command>	Generate man page in roff format

Module Execution Options

When executing a module (e.g. apcore-cli math.add), these built-in options are always available:

Option	Description
--input -	Read JSON input from STDIN
--yes / -y	Bypass approval prompts
--large-input	Allow STDIN input larger than 10MB
--format	Output format: json or table
--sandbox	Run module in subprocess sandbox

Schema-generated flags (e.g. --a, --b) are added automatically from the module's input_schema.

Exit Codes

Code	Meaning
0	Success
1	Module execution error
2	Invalid CLI input
44	Module not found / disabled / load error
45	Schema validation error
46	Approval denied or timed out
47	Configuration error
48	Schema circular reference
77	ACL denied
130	Execution cancelled (Ctrl+C)

Configuration

apcore-cli uses a 4-tier configuration precedence:

1. CLI flag (highest): --extensions-dir ./custom
2. Environment variable: APCORE_EXTENSIONS_ROOT=./custom
3. Config file: apcore.yaml
4. Default (lowest): ./extensions

Environment Variables

Variable	Description	Default
APCORE_EXTENSIONS_ROOT	Path to extensions directory	./extensions
APCORE_CLI_AUTO_APPROVE	Set to 1 to bypass all approval prompts	(unset)
APCORE_CLI_LOGGING_LEVEL	CLI-specific log level (takes priority over APCORE_LOGGING_LEVEL)	WARNING
APCORE_LOGGING_LEVEL	Global apcore log level (fallback when APCORE_CLI_LOGGING_LEVEL is unset)	WARNING
APCORE_AUTH_API_KEY	API key for remote registry authentication	(unset)
APCORE_CLI_SANDBOX	Set to 1 to enable subprocess sandboxing	(unset)
APCORE_CLI_HELP_TEXT_MAX_LENGTH	Maximum characters for CLI option help text before truncation	1000

Config File (apcore.yaml)

extensions:
  root: ./extensions
logging:
  level: DEBUG
sandbox:
  enabled: false
cli:
  help_text_max_length: 1000

Features

• Auto-discovery -- all modules in the extensions directory are found and exposed as CLI commands
• Display overlay -- metadata["display"]["cli"] controls CLI command names, descriptions, and guidance per module (§5.13); set via binding_path in create_cli() / fastapi-apcore
• Grouped commands -- modules with dots in their names are auto-grouped into nested subcommands (apcore-cli product list instead of apcore-cli product.list); display.cli.group in binding.yaml overrides the auto-detected group
• Auto-generated flags -- JSON Schema input_schema is converted to --flag value CLI options with type validation
• Boolean flag pairs -- --verbose / --no-verbose from "type": "boolean" schema properties
• Enum choices -- "enum": ["json", "csv"] becomes --format json with Click validation
• STDIN piping -- --input - reads JSON from STDIN, CLI flags override for duplicate keys
• TTY-adaptive output -- rich tables for terminals, JSON for pipes (configurable via --format)
• Approval gate -- TTY-aware HITL prompts for modules with requires_approval: true, with --yes bypass and 60s timeout
• Schema validation -- inputs validated against JSON Schema before execution, with $ref/allOf/anyOf/oneOf resolution
• Security -- API key auth (keyring + AES-256-GCM), append-only audit logging, subprocess sandboxing
• Shell completions -- apcore-cli completion bash|zsh|fish generates completion scripts with dynamic module ID completion
• Man pages -- apcore-cli man <command> generates roff-formatted man pages
• Audit logging -- all executions logged to ~/.apcore-cli/audit.jsonl with SHA-256 input hashing

How It Works

Mapping: apcore to CLI

apcore	CLI
metadata["display"]["cli"]["alias"] or module_id	Command name — auto-grouped by first . segment (apcore-cli product get)
metadata["display"]["cli"]["description"] or description	--help text
input_schema.properties	CLI flags (--a, --b)
input_schema.required	Validated post-collection via jsonschema.validate() (required fields shown as [required] in --help)
annotations.requires_approval	HITL approval prompt

Architecture

User / AI Agent (terminal)
    |
    v
apcore-cli (the adapter)
    |
    +-- ConfigResolver       4-tier config precedence
    +-- LazyModuleGroup      Dynamic Click command generation
    +-- schema_parser        JSON Schema -> Click options
    +-- ref_resolver         $ref / allOf / anyOf / oneOf
    +-- approval             TTY-aware HITL approval
    +-- output               TTY-adaptive JSON/table output
    +-- AuditLogger          JSON Lines execution logging
    +-- Sandbox              Subprocess isolation
    |
    v
apcore Registry + Executor (your modules, unchanged)

Examples

The examples/extensions/ directory contains 8 runnable modules:

Module	Description	Usage
math.add	Add two integers	apcore-cli math.add --a 5 --b 10
math.multiply	Multiply two integers	apcore-cli math.multiply --a 6 --b 7
text.upper	Uppercase a string	apcore-cli text.upper --text hello
text.reverse	Reverse a string	apcore-cli text.reverse --text abcdef
text.wordcount	Count words/chars/lines	apcore-cli text.wordcount --text "hello world"
sysutil.info	OS, hostname, Python version	apcore-cli sysutil.info
sysutil.env	Read environment variables	apcore-cli sysutil.env --name HOME
sysutil.disk	Disk usage statistics	apcore-cli sysutil.disk --path /

Running examples

# Set extensions path (one time)
export APCORE_EXTENSIONS_ROOT=examples/extensions

# Execute modules
apcore-cli math.add --a 42 --b 58
apcore-cli text.upper --text "hello apcore"
apcore-cli sysutil.info
apcore-cli sysutil.disk --path /

# Discovery
apcore-cli list --format json
apcore-cli list --tag math --format json
apcore-cli describe math.add --format json

# STDIN piping
echo '{"a": 100, "b": 200}' | apcore-cli math.add --input -

# Shell completion
apcore-cli completion bash >> ~/.bashrc
apcore-cli completion zsh >> ~/.zshrc
apcore-cli completion fish > ~/.config/fish/completions/apcore-cli.fish

# Man pages
apcore-cli man list | man -l -

# Run all examples at once
bash examples/run_examples.sh

Writing your own module

Create a Python file in your extensions directory:

# extensions/greet/hello.py
from pydantic import BaseModel

class Input(BaseModel):
    name: str
    greeting: str = "Hello"

class Output(BaseModel):
    message: str

class GreetHello:
    input_schema = Input
    output_schema = Output
    description = "Greet someone by name"

    def execute(self, inputs, context=None):
        return {"message": f"{inputs['greeting']}, {inputs['name']}!"}

Then run it:

apcore-cli --extensions-dir ./extensions greet.hello --name World
# {"message": "Hello, World!"}

apcore-cli --extensions-dir ./extensions greet.hello --name Alice --greeting Hi
# {"message": "Hi, Alice!"}

Development

git clone https://github.com/aiperceivable/apcore-cli-python.git
cd apcore-cli-python
pip install -e ".[dev]"
pytest                           # 319+ tests
pytest --cov                     # with coverage report
bash examples/run_examples.sh   # run all examples

License

Apache-2.0