1043 lines
34 KiB
Python
1043 lines
34 KiB
Python
"""CLI commands for nanobot."""
|
|
|
|
import asyncio
|
|
import os
|
|
import signal
|
|
from pathlib import Path
|
|
import select
|
|
import sys
|
|
|
|
import typer
|
|
from rich.console import Console
|
|
from rich.markdown import Markdown
|
|
from rich.table import Table
|
|
from rich.text import Text
|
|
|
|
from prompt_toolkit import PromptSession
|
|
from prompt_toolkit.formatted_text import HTML
|
|
from prompt_toolkit.history import FileHistory
|
|
from prompt_toolkit.patch_stdout import patch_stdout
|
|
|
|
from nanobot import __version__, __logo__
|
|
from nanobot.config.schema import Config
|
|
|
|
app = typer.Typer(
|
|
name="nanobot",
|
|
help=f"{__logo__} nanobot - Personal AI Assistant",
|
|
no_args_is_help=True,
|
|
)
|
|
|
|
console = Console()
|
|
EXIT_COMMANDS = {"exit", "quit", "/exit", "/quit", ":q"}
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# CLI input: prompt_toolkit for editing, paste, history, and display
|
|
# ---------------------------------------------------------------------------
|
|
|
|
_PROMPT_SESSION: PromptSession | None = None
|
|
_SAVED_TERM_ATTRS = None # original termios settings, restored on exit
|
|
|
|
|
|
def _flush_pending_tty_input() -> None:
|
|
"""Drop unread keypresses typed while the model was generating output."""
|
|
try:
|
|
fd = sys.stdin.fileno()
|
|
if not os.isatty(fd):
|
|
return
|
|
except Exception:
|
|
return
|
|
|
|
try:
|
|
import termios
|
|
termios.tcflush(fd, termios.TCIFLUSH)
|
|
return
|
|
except Exception:
|
|
pass
|
|
|
|
try:
|
|
while True:
|
|
ready, _, _ = select.select([fd], [], [], 0)
|
|
if not ready:
|
|
break
|
|
if not os.read(fd, 4096):
|
|
break
|
|
except Exception:
|
|
return
|
|
|
|
|
|
def _restore_terminal() -> None:
|
|
"""Restore terminal to its original state (echo, line buffering, etc.)."""
|
|
if _SAVED_TERM_ATTRS is None:
|
|
return
|
|
try:
|
|
import termios
|
|
termios.tcsetattr(sys.stdin.fileno(), termios.TCSADRAIN, _SAVED_TERM_ATTRS)
|
|
except Exception:
|
|
pass
|
|
|
|
|
|
def _init_prompt_session() -> None:
|
|
"""Create the prompt_toolkit session with persistent file history."""
|
|
global _PROMPT_SESSION, _SAVED_TERM_ATTRS
|
|
|
|
# Save terminal state so we can restore it on exit
|
|
try:
|
|
import termios
|
|
_SAVED_TERM_ATTRS = termios.tcgetattr(sys.stdin.fileno())
|
|
except Exception:
|
|
pass
|
|
|
|
history_file = Path.home() / ".nanobot" / "history" / "cli_history"
|
|
history_file.parent.mkdir(parents=True, exist_ok=True)
|
|
|
|
_PROMPT_SESSION = PromptSession(
|
|
history=FileHistory(str(history_file)),
|
|
enable_open_in_editor=False,
|
|
multiline=False, # Enter submits (single line mode)
|
|
)
|
|
|
|
|
|
def _print_agent_response(response: str, render_markdown: bool) -> None:
|
|
"""Render assistant response with consistent terminal styling."""
|
|
content = response or ""
|
|
body = Markdown(content) if render_markdown else Text(content)
|
|
console.print()
|
|
console.print(f"[cyan]{__logo__} nanobot[/cyan]")
|
|
console.print(body)
|
|
console.print()
|
|
|
|
|
|
def _is_exit_command(command: str) -> bool:
|
|
"""Return True when input should end interactive chat."""
|
|
return command.lower() in EXIT_COMMANDS
|
|
|
|
|
|
async def _read_interactive_input_async() -> str:
|
|
"""Read user input using prompt_toolkit (handles paste, history, display).
|
|
|
|
prompt_toolkit natively handles:
|
|
- Multiline paste (bracketed paste mode)
|
|
- History navigation (up/down arrows)
|
|
- Clean display (no ghost characters or artifacts)
|
|
"""
|
|
if _PROMPT_SESSION is None:
|
|
raise RuntimeError("Call _init_prompt_session() first")
|
|
try:
|
|
with patch_stdout():
|
|
return await _PROMPT_SESSION.prompt_async(
|
|
HTML("<b fg='ansiblue'>You:</b> "),
|
|
)
|
|
except EOFError as exc:
|
|
raise KeyboardInterrupt from exc
|
|
|
|
|
|
|
|
def version_callback(value: bool):
|
|
if value:
|
|
console.print(f"{__logo__} nanobot v{__version__}")
|
|
raise typer.Exit()
|
|
|
|
|
|
@app.callback()
|
|
def main(
|
|
version: bool = typer.Option(
|
|
None, "--version", "-v", callback=version_callback, is_eager=True
|
|
),
|
|
):
|
|
"""nanobot - Personal AI Assistant."""
|
|
pass
|
|
|
|
|
|
# ============================================================================
|
|
# Onboard / Setup
|
|
# ============================================================================
|
|
|
|
|
|
@app.command()
|
|
def onboard():
|
|
"""Initialize nanobot configuration and workspace."""
|
|
from nanobot.config.loader import get_config_path, load_config, save_config
|
|
from nanobot.config.schema import Config
|
|
from nanobot.utils.helpers import get_workspace_path
|
|
|
|
config_path = get_config_path()
|
|
|
|
if config_path.exists():
|
|
console.print(f"[yellow]Config already exists at {config_path}[/yellow]")
|
|
console.print(" [bold]y[/bold] = overwrite with defaults (existing values will be lost)")
|
|
console.print(" [bold]N[/bold] = refresh config, keeping existing values and adding new fields")
|
|
if typer.confirm("Overwrite?"):
|
|
config = Config()
|
|
save_config(config)
|
|
console.print(f"[green]✓[/green] Config reset to defaults at {config_path}")
|
|
else:
|
|
config = load_config()
|
|
save_config(config)
|
|
console.print(f"[green]✓[/green] Config refreshed at {config_path} (existing values preserved)")
|
|
else:
|
|
save_config(Config())
|
|
console.print(f"[green]✓[/green] Created config at {config_path}")
|
|
|
|
# Create workspace
|
|
workspace = get_workspace_path()
|
|
|
|
if not workspace.exists():
|
|
workspace.mkdir(parents=True, exist_ok=True)
|
|
console.print(f"[green]✓[/green] Created workspace at {workspace}")
|
|
|
|
# Create default bootstrap files
|
|
_create_workspace_templates(workspace)
|
|
|
|
console.print(f"\n{__logo__} nanobot is ready!")
|
|
console.print("\nNext steps:")
|
|
console.print(" 1. Add your API key to [cyan]~/.nanobot/config.json[/cyan]")
|
|
console.print(" Get one at: https://openrouter.ai/keys")
|
|
console.print(" 2. Chat: [cyan]nanobot agent -m \"Hello!\"[/cyan]")
|
|
console.print("\n[dim]Want Telegram/WhatsApp? See: https://github.com/HKUDS/nanobot#-chat-apps[/dim]")
|
|
|
|
|
|
|
|
|
|
def _create_workspace_templates(workspace: Path):
|
|
"""Create default workspace template files."""
|
|
templates = {
|
|
"AGENTS.md": """# Agent Instructions
|
|
|
|
You are a helpful AI assistant. Be concise, accurate, and friendly.
|
|
|
|
## Guidelines
|
|
|
|
- Always explain what you're doing before taking actions
|
|
- Ask for clarification when the request is ambiguous
|
|
- Use tools to help accomplish tasks
|
|
- Remember important information in memory/MEMORY.md; past events are logged in memory/HISTORY.md
|
|
""",
|
|
"SOUL.md": """# Soul
|
|
|
|
I am nanobot, a lightweight AI assistant.
|
|
|
|
## Personality
|
|
|
|
- Helpful and friendly
|
|
- Concise and to the point
|
|
- Curious and eager to learn
|
|
|
|
## Values
|
|
|
|
- Accuracy over speed
|
|
- User privacy and safety
|
|
- Transparency in actions
|
|
""",
|
|
"USER.md": """# User
|
|
|
|
Information about the user goes here.
|
|
|
|
## Preferences
|
|
|
|
- Communication style: (casual/formal)
|
|
- Timezone: (your timezone)
|
|
- Language: (your preferred language)
|
|
""",
|
|
}
|
|
|
|
for filename, content in templates.items():
|
|
file_path = workspace / filename
|
|
if not file_path.exists():
|
|
file_path.write_text(content, encoding="utf-8")
|
|
console.print(f" [dim]Created {filename}[/dim]")
|
|
|
|
# Create memory directory and MEMORY.md
|
|
memory_dir = workspace / "memory"
|
|
memory_dir.mkdir(exist_ok=True)
|
|
memory_file = memory_dir / "MEMORY.md"
|
|
if not memory_file.exists():
|
|
memory_file.write_text("""# Long-term Memory
|
|
|
|
This file stores important information that should persist across sessions.
|
|
|
|
## User Information
|
|
|
|
(Important facts about the user)
|
|
|
|
## Preferences
|
|
|
|
(User preferences learned over time)
|
|
|
|
## Important Notes
|
|
|
|
(Things to remember)
|
|
""", encoding="utf-8")
|
|
console.print(" [dim]Created memory/MEMORY.md[/dim]")
|
|
|
|
history_file = memory_dir / "HISTORY.md"
|
|
if not history_file.exists():
|
|
history_file.write_text("", encoding="utf-8")
|
|
console.print(" [dim]Created memory/HISTORY.md[/dim]")
|
|
|
|
# Create skills directory for custom user skills
|
|
skills_dir = workspace / "skills"
|
|
skills_dir.mkdir(exist_ok=True)
|
|
|
|
|
|
def _make_provider(config: Config):
|
|
"""Create the appropriate LLM provider from config."""
|
|
from nanobot.providers.litellm_provider import LiteLLMProvider
|
|
from nanobot.providers.openai_codex_provider import OpenAICodexProvider
|
|
from nanobot.providers.custom_provider import CustomProvider
|
|
|
|
model = config.agents.defaults.model
|
|
provider_name = config.get_provider_name(model)
|
|
p = config.get_provider(model)
|
|
|
|
# OpenAI Codex (OAuth)
|
|
if provider_name == "openai_codex" or model.startswith("openai-codex/"):
|
|
return OpenAICodexProvider(default_model=model)
|
|
|
|
# Custom: direct OpenAI-compatible endpoint, bypasses LiteLLM
|
|
if provider_name == "custom":
|
|
return CustomProvider(
|
|
api_key=p.api_key if p else "no-key",
|
|
api_base=config.get_api_base(model) or "http://localhost:8000/v1",
|
|
default_model=model,
|
|
)
|
|
|
|
from nanobot.providers.registry import find_by_name
|
|
spec = find_by_name(provider_name)
|
|
if not model.startswith("bedrock/") and not (p and p.api_key) and not (spec and spec.is_oauth):
|
|
console.print("[red]Error: No API key configured.[/red]")
|
|
console.print("Set one in ~/.nanobot/config.json under providers section")
|
|
raise typer.Exit(1)
|
|
|
|
return LiteLLMProvider(
|
|
api_key=p.api_key if p else None,
|
|
api_base=config.get_api_base(model),
|
|
default_model=model,
|
|
extra_headers=p.extra_headers if p else None,
|
|
provider_name=provider_name,
|
|
)
|
|
|
|
|
|
# ============================================================================
|
|
# Gateway / Server
|
|
# ============================================================================
|
|
|
|
|
|
@app.command()
|
|
def gateway(
|
|
port: int = typer.Option(18790, "--port", "-p", help="Gateway port"),
|
|
verbose: bool = typer.Option(False, "--verbose", "-v", help="Verbose output"),
|
|
):
|
|
"""Start the nanobot gateway."""
|
|
from nanobot.config.loader import load_config, get_data_dir
|
|
from nanobot.bus.queue import MessageBus
|
|
from nanobot.agent.loop import AgentLoop
|
|
from nanobot.channels.manager import ChannelManager
|
|
from nanobot.session.manager import SessionManager
|
|
from nanobot.cron.service import CronService
|
|
from nanobot.cron.types import CronJob
|
|
from nanobot.heartbeat.service import HeartbeatService
|
|
|
|
if verbose:
|
|
import logging
|
|
logging.basicConfig(level=logging.DEBUG)
|
|
|
|
console.print(f"{__logo__} Starting nanobot gateway on port {port}...")
|
|
|
|
config = load_config()
|
|
bus = MessageBus()
|
|
provider = _make_provider(config)
|
|
session_manager = SessionManager(config.workspace_path)
|
|
|
|
# Create cron service first (callback set after agent creation)
|
|
cron_store_path = get_data_dir() / "cron" / "jobs.json"
|
|
cron = CronService(cron_store_path)
|
|
|
|
# Create agent with cron service
|
|
agent = AgentLoop(
|
|
bus=bus,
|
|
provider=provider,
|
|
workspace=config.workspace_path,
|
|
model=config.agents.defaults.model,
|
|
temperature=config.agents.defaults.temperature,
|
|
max_tokens=config.agents.defaults.max_tokens,
|
|
max_iterations=config.agents.defaults.max_tool_iterations,
|
|
memory_window=config.agents.defaults.memory_window,
|
|
brave_api_key=config.tools.web.search.api_key or None,
|
|
exec_config=config.tools.exec,
|
|
cron_service=cron,
|
|
restrict_to_workspace=config.tools.restrict_to_workspace,
|
|
session_manager=session_manager,
|
|
mcp_servers=config.tools.mcp_servers,
|
|
)
|
|
|
|
# Set cron callback (needs agent)
|
|
async def on_cron_job(job: CronJob) -> str | None:
|
|
"""Execute a cron job through the agent."""
|
|
response = await agent.process_direct(
|
|
job.payload.message,
|
|
session_key=f"cron:{job.id}",
|
|
channel=job.payload.channel or "cli",
|
|
chat_id=job.payload.to or "direct",
|
|
)
|
|
if job.payload.deliver and job.payload.to:
|
|
from nanobot.bus.events import OutboundMessage
|
|
await bus.publish_outbound(OutboundMessage(
|
|
channel=job.payload.channel or "cli",
|
|
chat_id=job.payload.to,
|
|
content=response or ""
|
|
))
|
|
return response
|
|
cron.on_job = on_cron_job
|
|
|
|
# Create heartbeat service
|
|
async def on_heartbeat(prompt: str) -> str:
|
|
"""Execute heartbeat through the agent."""
|
|
return await agent.process_direct(prompt, session_key="heartbeat")
|
|
|
|
heartbeat = HeartbeatService(
|
|
workspace=config.workspace_path,
|
|
on_heartbeat=on_heartbeat,
|
|
interval_s=30 * 60, # 30 minutes
|
|
enabled=True
|
|
)
|
|
|
|
# Create channel manager
|
|
channels = ChannelManager(config, bus)
|
|
|
|
if channels.enabled_channels:
|
|
console.print(f"[green]✓[/green] Channels enabled: {', '.join(channels.enabled_channels)}")
|
|
else:
|
|
console.print("[yellow]Warning: No channels enabled[/yellow]")
|
|
|
|
cron_status = cron.status()
|
|
if cron_status["jobs"] > 0:
|
|
console.print(f"[green]✓[/green] Cron: {cron_status['jobs']} scheduled jobs")
|
|
|
|
console.print(f"[green]✓[/green] Heartbeat: every 30m")
|
|
|
|
async def run():
|
|
try:
|
|
await cron.start()
|
|
await heartbeat.start()
|
|
await asyncio.gather(
|
|
agent.run(),
|
|
channels.start_all(),
|
|
)
|
|
except KeyboardInterrupt:
|
|
console.print("\nShutting down...")
|
|
finally:
|
|
await agent.close_mcp()
|
|
heartbeat.stop()
|
|
cron.stop()
|
|
agent.stop()
|
|
await channels.stop_all()
|
|
|
|
asyncio.run(run())
|
|
|
|
|
|
|
|
|
|
# ============================================================================
|
|
# Agent Commands
|
|
# ============================================================================
|
|
|
|
|
|
@app.command()
|
|
def agent(
|
|
message: str = typer.Option(None, "--message", "-m", help="Message to send to the agent"),
|
|
session_id: str = typer.Option("cli:direct", "--session", "-s", help="Session ID"),
|
|
markdown: bool = typer.Option(True, "--markdown/--no-markdown", help="Render assistant output as Markdown"),
|
|
logs: bool = typer.Option(False, "--logs/--no-logs", help="Show nanobot runtime logs during chat"),
|
|
):
|
|
"""Interact with the agent directly."""
|
|
from nanobot.config.loader import load_config, get_data_dir
|
|
from nanobot.bus.queue import MessageBus
|
|
from nanobot.agent.loop import AgentLoop
|
|
from nanobot.cron.service import CronService
|
|
from loguru import logger
|
|
|
|
config = load_config()
|
|
|
|
bus = MessageBus()
|
|
provider = _make_provider(config)
|
|
|
|
# Create cron service for tool usage (no callback needed for CLI unless running)
|
|
cron_store_path = get_data_dir() / "cron" / "jobs.json"
|
|
cron = CronService(cron_store_path)
|
|
|
|
if logs:
|
|
logger.enable("nanobot")
|
|
else:
|
|
logger.disable("nanobot")
|
|
|
|
agent_loop = AgentLoop(
|
|
bus=bus,
|
|
provider=provider,
|
|
workspace=config.workspace_path,
|
|
model=config.agents.defaults.model,
|
|
temperature=config.agents.defaults.temperature,
|
|
max_tokens=config.agents.defaults.max_tokens,
|
|
max_iterations=config.agents.defaults.max_tool_iterations,
|
|
memory_window=config.agents.defaults.memory_window,
|
|
brave_api_key=config.tools.web.search.api_key or None,
|
|
exec_config=config.tools.exec,
|
|
cron_service=cron,
|
|
restrict_to_workspace=config.tools.restrict_to_workspace,
|
|
mcp_servers=config.tools.mcp_servers,
|
|
)
|
|
|
|
# Show spinner when logs are off (no output to miss); skip when logs are on
|
|
def _thinking_ctx():
|
|
if logs:
|
|
from contextlib import nullcontext
|
|
return nullcontext()
|
|
# Animated spinner is safe to use with prompt_toolkit input handling
|
|
return console.status("[dim]nanobot is thinking...[/dim]", spinner="dots")
|
|
|
|
async def _cli_progress(content: str) -> None:
|
|
console.print(f" [dim]↳ {content}[/dim]")
|
|
|
|
if message:
|
|
# Single message mode
|
|
async def run_once():
|
|
with _thinking_ctx():
|
|
response = await agent_loop.process_direct(message, session_id, on_progress=_cli_progress)
|
|
_print_agent_response(response, render_markdown=markdown)
|
|
await agent_loop.close_mcp()
|
|
|
|
asyncio.run(run_once())
|
|
else:
|
|
# Interactive mode
|
|
_init_prompt_session()
|
|
console.print(f"{__logo__} Interactive mode (type [bold]exit[/bold] or [bold]Ctrl+C[/bold] to quit)\n")
|
|
|
|
def _exit_on_sigint(signum, frame):
|
|
_restore_terminal()
|
|
console.print("\nGoodbye!")
|
|
os._exit(0)
|
|
|
|
signal.signal(signal.SIGINT, _exit_on_sigint)
|
|
|
|
async def run_interactive():
|
|
try:
|
|
while True:
|
|
try:
|
|
_flush_pending_tty_input()
|
|
user_input = await _read_interactive_input_async()
|
|
command = user_input.strip()
|
|
if not command:
|
|
continue
|
|
|
|
if _is_exit_command(command):
|
|
_restore_terminal()
|
|
console.print("\nGoodbye!")
|
|
break
|
|
|
|
with _thinking_ctx():
|
|
response = await agent_loop.process_direct(user_input, session_id, on_progress=_cli_progress)
|
|
_print_agent_response(response, render_markdown=markdown)
|
|
except KeyboardInterrupt:
|
|
_restore_terminal()
|
|
console.print("\nGoodbye!")
|
|
break
|
|
except EOFError:
|
|
_restore_terminal()
|
|
console.print("\nGoodbye!")
|
|
break
|
|
finally:
|
|
await agent_loop.close_mcp()
|
|
|
|
asyncio.run(run_interactive())
|
|
|
|
|
|
# ============================================================================
|
|
# Channel Commands
|
|
# ============================================================================
|
|
|
|
|
|
channels_app = typer.Typer(help="Manage channels")
|
|
app.add_typer(channels_app, name="channels")
|
|
|
|
|
|
@channels_app.command("status")
|
|
def channels_status():
|
|
"""Show channel status."""
|
|
from nanobot.config.loader import load_config
|
|
|
|
config = load_config()
|
|
|
|
table = Table(title="Channel Status")
|
|
table.add_column("Channel", style="cyan")
|
|
table.add_column("Enabled", style="green")
|
|
table.add_column("Configuration", style="yellow")
|
|
|
|
# WhatsApp
|
|
wa = config.channels.whatsapp
|
|
table.add_row(
|
|
"WhatsApp",
|
|
"✓" if wa.enabled else "✗",
|
|
wa.bridge_url
|
|
)
|
|
|
|
dc = config.channels.discord
|
|
table.add_row(
|
|
"Discord",
|
|
"✓" if dc.enabled else "✗",
|
|
dc.gateway_url
|
|
)
|
|
|
|
# Feishu
|
|
fs = config.channels.feishu
|
|
fs_config = f"app_id: {fs.app_id[:10]}..." if fs.app_id else "[dim]not configured[/dim]"
|
|
table.add_row(
|
|
"Feishu",
|
|
"✓" if fs.enabled else "✗",
|
|
fs_config
|
|
)
|
|
|
|
# Mochat
|
|
mc = config.channels.mochat
|
|
mc_base = mc.base_url or "[dim]not configured[/dim]"
|
|
table.add_row(
|
|
"Mochat",
|
|
"✓" if mc.enabled else "✗",
|
|
mc_base
|
|
)
|
|
|
|
# Telegram
|
|
tg = config.channels.telegram
|
|
tg_config = f"token: {tg.token[:10]}..." if tg.token else "[dim]not configured[/dim]"
|
|
table.add_row(
|
|
"Telegram",
|
|
"✓" if tg.enabled else "✗",
|
|
tg_config
|
|
)
|
|
|
|
# Slack
|
|
slack = config.channels.slack
|
|
slack_config = "socket" if slack.app_token and slack.bot_token else "[dim]not configured[/dim]"
|
|
table.add_row(
|
|
"Slack",
|
|
"✓" if slack.enabled else "✗",
|
|
slack_config
|
|
)
|
|
|
|
console.print(table)
|
|
|
|
|
|
def _get_bridge_dir() -> Path:
|
|
"""Get the bridge directory, setting it up if needed."""
|
|
import shutil
|
|
import subprocess
|
|
|
|
# User's bridge location
|
|
user_bridge = Path.home() / ".nanobot" / "bridge"
|
|
|
|
# Check if already built
|
|
if (user_bridge / "dist" / "index.js").exists():
|
|
return user_bridge
|
|
|
|
# Check for npm
|
|
if not shutil.which("npm"):
|
|
console.print("[red]npm not found. Please install Node.js >= 18.[/red]")
|
|
raise typer.Exit(1)
|
|
|
|
# Find source bridge: first check package data, then source dir
|
|
pkg_bridge = Path(__file__).parent.parent / "bridge" # nanobot/bridge (installed)
|
|
src_bridge = Path(__file__).parent.parent.parent / "bridge" # repo root/bridge (dev)
|
|
|
|
source = None
|
|
if (pkg_bridge / "package.json").exists():
|
|
source = pkg_bridge
|
|
elif (src_bridge / "package.json").exists():
|
|
source = src_bridge
|
|
|
|
if not source:
|
|
console.print("[red]Bridge source not found.[/red]")
|
|
console.print("Try reinstalling: pip install --force-reinstall nanobot")
|
|
raise typer.Exit(1)
|
|
|
|
console.print(f"{__logo__} Setting up bridge...")
|
|
|
|
# Copy to user directory
|
|
user_bridge.parent.mkdir(parents=True, exist_ok=True)
|
|
if user_bridge.exists():
|
|
shutil.rmtree(user_bridge)
|
|
shutil.copytree(source, user_bridge, ignore=shutil.ignore_patterns("node_modules", "dist"))
|
|
|
|
# Install and build
|
|
try:
|
|
console.print(" Installing dependencies...")
|
|
subprocess.run(["npm", "install"], cwd=user_bridge, check=True, capture_output=True)
|
|
|
|
console.print(" Building...")
|
|
subprocess.run(["npm", "run", "build"], cwd=user_bridge, check=True, capture_output=True)
|
|
|
|
console.print("[green]✓[/green] Bridge ready\n")
|
|
except subprocess.CalledProcessError as e:
|
|
console.print(f"[red]Build failed: {e}[/red]")
|
|
if e.stderr:
|
|
console.print(f"[dim]{e.stderr.decode()[:500]}[/dim]")
|
|
raise typer.Exit(1)
|
|
|
|
return user_bridge
|
|
|
|
|
|
@channels_app.command("login")
|
|
def channels_login():
|
|
"""Link device via QR code."""
|
|
import subprocess
|
|
from nanobot.config.loader import load_config
|
|
|
|
config = load_config()
|
|
bridge_dir = _get_bridge_dir()
|
|
|
|
console.print(f"{__logo__} Starting bridge...")
|
|
console.print("Scan the QR code to connect.\n")
|
|
|
|
env = {**os.environ}
|
|
if config.channels.whatsapp.bridge_token:
|
|
env["BRIDGE_TOKEN"] = config.channels.whatsapp.bridge_token
|
|
|
|
try:
|
|
subprocess.run(["npm", "start"], cwd=bridge_dir, check=True, env=env)
|
|
except subprocess.CalledProcessError as e:
|
|
console.print(f"[red]Bridge failed: {e}[/red]")
|
|
except FileNotFoundError:
|
|
console.print("[red]npm not found. Please install Node.js.[/red]")
|
|
|
|
|
|
# ============================================================================
|
|
# Cron Commands
|
|
# ============================================================================
|
|
|
|
cron_app = typer.Typer(help="Manage scheduled tasks")
|
|
app.add_typer(cron_app, name="cron")
|
|
|
|
|
|
@cron_app.command("list")
|
|
def cron_list(
|
|
all: bool = typer.Option(False, "--all", "-a", help="Include disabled jobs"),
|
|
):
|
|
"""List scheduled jobs."""
|
|
from nanobot.config.loader import get_data_dir
|
|
from nanobot.cron.service import CronService
|
|
|
|
store_path = get_data_dir() / "cron" / "jobs.json"
|
|
service = CronService(store_path)
|
|
|
|
jobs = service.list_jobs(include_disabled=all)
|
|
|
|
if not jobs:
|
|
console.print("No scheduled jobs.")
|
|
return
|
|
|
|
table = Table(title="Scheduled Jobs")
|
|
table.add_column("ID", style="cyan")
|
|
table.add_column("Name")
|
|
table.add_column("Schedule")
|
|
table.add_column("Status")
|
|
table.add_column("Next Run")
|
|
|
|
import time
|
|
from datetime import datetime as _dt
|
|
from zoneinfo import ZoneInfo
|
|
for job in jobs:
|
|
# Format schedule
|
|
if job.schedule.kind == "every":
|
|
sched = f"every {(job.schedule.every_ms or 0) // 1000}s"
|
|
elif job.schedule.kind == "cron":
|
|
sched = f"{job.schedule.expr or ''} ({job.schedule.tz})" if job.schedule.tz else (job.schedule.expr or "")
|
|
else:
|
|
sched = "one-time"
|
|
|
|
# Format next run
|
|
next_run = ""
|
|
if job.state.next_run_at_ms:
|
|
ts = job.state.next_run_at_ms / 1000
|
|
try:
|
|
tz = ZoneInfo(job.schedule.tz) if job.schedule.tz else None
|
|
next_run = _dt.fromtimestamp(ts, tz).strftime("%Y-%m-%d %H:%M")
|
|
except Exception:
|
|
next_run = time.strftime("%Y-%m-%d %H:%M", time.localtime(ts))
|
|
|
|
status = "[green]enabled[/green]" if job.enabled else "[dim]disabled[/dim]"
|
|
|
|
table.add_row(job.id, job.name, sched, status, next_run)
|
|
|
|
console.print(table)
|
|
|
|
|
|
@cron_app.command("add")
|
|
def cron_add(
|
|
name: str = typer.Option(..., "--name", "-n", help="Job name"),
|
|
message: str = typer.Option(..., "--message", "-m", help="Message for agent"),
|
|
every: int = typer.Option(None, "--every", "-e", help="Run every N seconds"),
|
|
cron_expr: str = typer.Option(None, "--cron", "-c", help="Cron expression (e.g. '0 9 * * *')"),
|
|
tz: str | None = typer.Option(None, "--tz", help="IANA timezone for cron (e.g. 'America/Vancouver')"),
|
|
at: str = typer.Option(None, "--at", help="Run once at time (ISO format)"),
|
|
deliver: bool = typer.Option(False, "--deliver", "-d", help="Deliver response to channel"),
|
|
to: str = typer.Option(None, "--to", help="Recipient for delivery"),
|
|
channel: str = typer.Option(None, "--channel", help="Channel for delivery (e.g. 'telegram', 'whatsapp')"),
|
|
):
|
|
"""Add a scheduled job."""
|
|
from nanobot.config.loader import get_data_dir
|
|
from nanobot.cron.service import CronService
|
|
from nanobot.cron.types import CronSchedule
|
|
|
|
if tz and not cron_expr:
|
|
console.print("[red]Error: --tz can only be used with --cron[/red]")
|
|
raise typer.Exit(1)
|
|
|
|
# Determine schedule type
|
|
if every:
|
|
schedule = CronSchedule(kind="every", every_ms=every * 1000)
|
|
elif cron_expr:
|
|
schedule = CronSchedule(kind="cron", expr=cron_expr, tz=tz)
|
|
elif at:
|
|
import datetime
|
|
dt = datetime.datetime.fromisoformat(at)
|
|
schedule = CronSchedule(kind="at", at_ms=int(dt.timestamp() * 1000))
|
|
else:
|
|
console.print("[red]Error: Must specify --every, --cron, or --at[/red]")
|
|
raise typer.Exit(1)
|
|
|
|
store_path = get_data_dir() / "cron" / "jobs.json"
|
|
service = CronService(store_path)
|
|
|
|
try:
|
|
job = service.add_job(
|
|
name=name,
|
|
schedule=schedule,
|
|
message=message,
|
|
deliver=deliver,
|
|
to=to,
|
|
channel=channel,
|
|
)
|
|
except ValueError as e:
|
|
console.print(f"[red]Error: {e}[/red]")
|
|
raise typer.Exit(1) from e
|
|
|
|
console.print(f"[green]✓[/green] Added job '{job.name}' ({job.id})")
|
|
|
|
|
|
@cron_app.command("remove")
|
|
def cron_remove(
|
|
job_id: str = typer.Argument(..., help="Job ID to remove"),
|
|
):
|
|
"""Remove a scheduled job."""
|
|
from nanobot.config.loader import get_data_dir
|
|
from nanobot.cron.service import CronService
|
|
|
|
store_path = get_data_dir() / "cron" / "jobs.json"
|
|
service = CronService(store_path)
|
|
|
|
if service.remove_job(job_id):
|
|
console.print(f"[green]✓[/green] Removed job {job_id}")
|
|
else:
|
|
console.print(f"[red]Job {job_id} not found[/red]")
|
|
|
|
|
|
@cron_app.command("enable")
|
|
def cron_enable(
|
|
job_id: str = typer.Argument(..., help="Job ID"),
|
|
disable: bool = typer.Option(False, "--disable", help="Disable instead of enable"),
|
|
):
|
|
"""Enable or disable a job."""
|
|
from nanobot.config.loader import get_data_dir
|
|
from nanobot.cron.service import CronService
|
|
|
|
store_path = get_data_dir() / "cron" / "jobs.json"
|
|
service = CronService(store_path)
|
|
|
|
job = service.enable_job(job_id, enabled=not disable)
|
|
if job:
|
|
status = "disabled" if disable else "enabled"
|
|
console.print(f"[green]✓[/green] Job '{job.name}' {status}")
|
|
else:
|
|
console.print(f"[red]Job {job_id} not found[/red]")
|
|
|
|
|
|
@cron_app.command("run")
|
|
def cron_run(
|
|
job_id: str = typer.Argument(..., help="Job ID to run"),
|
|
force: bool = typer.Option(False, "--force", "-f", help="Run even if disabled"),
|
|
):
|
|
"""Manually run a job."""
|
|
from nanobot.config.loader import load_config, get_data_dir
|
|
from nanobot.cron.service import CronService
|
|
from nanobot.bus.queue import MessageBus
|
|
from nanobot.agent.loop import AgentLoop
|
|
from loguru import logger
|
|
logger.disable("nanobot")
|
|
|
|
config = load_config()
|
|
provider = _make_provider(config)
|
|
bus = MessageBus()
|
|
agent_loop = AgentLoop(
|
|
bus=bus,
|
|
provider=provider,
|
|
workspace=config.workspace_path,
|
|
model=config.agents.defaults.model,
|
|
max_iterations=config.agents.defaults.max_tool_iterations,
|
|
memory_window=config.agents.defaults.memory_window,
|
|
exec_config=config.tools.exec,
|
|
restrict_to_workspace=config.tools.restrict_to_workspace,
|
|
)
|
|
|
|
store_path = get_data_dir() / "cron" / "jobs.json"
|
|
service = CronService(store_path)
|
|
|
|
result_holder = []
|
|
|
|
async def on_job(job):
|
|
response = await agent_loop.process_direct(
|
|
job.payload.message,
|
|
session_key=f"cron:{job.id}",
|
|
channel=job.payload.channel or "cli",
|
|
chat_id=job.payload.to or "direct",
|
|
)
|
|
result_holder.append(response)
|
|
return response
|
|
|
|
service.on_job = on_job
|
|
|
|
async def run():
|
|
return await service.run_job(job_id, force=force)
|
|
|
|
if asyncio.run(run()):
|
|
console.print("[green]✓[/green] Job executed")
|
|
if result_holder:
|
|
_print_agent_response(result_holder[0], render_markdown=True)
|
|
else:
|
|
console.print(f"[red]Failed to run job {job_id}[/red]")
|
|
|
|
|
|
# ============================================================================
|
|
# Status Commands
|
|
# ============================================================================
|
|
|
|
|
|
@app.command()
|
|
def status():
|
|
"""Show nanobot status."""
|
|
from nanobot.config.loader import load_config, get_config_path
|
|
|
|
config_path = get_config_path()
|
|
config = load_config()
|
|
workspace = config.workspace_path
|
|
|
|
console.print(f"{__logo__} nanobot Status\n")
|
|
|
|
console.print(f"Config: {config_path} {'[green]✓[/green]' if config_path.exists() else '[red]✗[/red]'}")
|
|
console.print(f"Workspace: {workspace} {'[green]✓[/green]' if workspace.exists() else '[red]✗[/red]'}")
|
|
|
|
if config_path.exists():
|
|
from nanobot.providers.registry import PROVIDERS
|
|
|
|
console.print(f"Model: {config.agents.defaults.model}")
|
|
|
|
# Check API keys from registry
|
|
for spec in PROVIDERS:
|
|
p = getattr(config.providers, spec.name, None)
|
|
if p is None:
|
|
continue
|
|
if spec.is_oauth:
|
|
console.print(f"{spec.label}: [green]✓ (OAuth)[/green]")
|
|
elif spec.is_local:
|
|
# Local deployments show api_base instead of api_key
|
|
if p.api_base:
|
|
console.print(f"{spec.label}: [green]✓ {p.api_base}[/green]")
|
|
else:
|
|
console.print(f"{spec.label}: [dim]not set[/dim]")
|
|
else:
|
|
has_key = bool(p.api_key)
|
|
console.print(f"{spec.label}: {'[green]✓[/green]' if has_key else '[dim]not set[/dim]'}")
|
|
|
|
|
|
# ============================================================================
|
|
# OAuth Login
|
|
# ============================================================================
|
|
|
|
provider_app = typer.Typer(help="Manage providers")
|
|
app.add_typer(provider_app, name="provider")
|
|
|
|
|
|
_LOGIN_HANDLERS: dict[str, callable] = {}
|
|
|
|
|
|
def _register_login(name: str):
|
|
def decorator(fn):
|
|
_LOGIN_HANDLERS[name] = fn
|
|
return fn
|
|
return decorator
|
|
|
|
|
|
@provider_app.command("login")
|
|
def provider_login(
|
|
provider: str = typer.Argument(..., help="OAuth provider (e.g. 'openai-codex', 'github-copilot')"),
|
|
):
|
|
"""Authenticate with an OAuth provider."""
|
|
from nanobot.providers.registry import PROVIDERS
|
|
|
|
key = provider.replace("-", "_")
|
|
spec = next((s for s in PROVIDERS if s.name == key and s.is_oauth), None)
|
|
if not spec:
|
|
names = ", ".join(s.name.replace("_", "-") for s in PROVIDERS if s.is_oauth)
|
|
console.print(f"[red]Unknown OAuth provider: {provider}[/red] Supported: {names}")
|
|
raise typer.Exit(1)
|
|
|
|
handler = _LOGIN_HANDLERS.get(spec.name)
|
|
if not handler:
|
|
console.print(f"[red]Login not implemented for {spec.label}[/red]")
|
|
raise typer.Exit(1)
|
|
|
|
console.print(f"{__logo__} OAuth Login - {spec.label}\n")
|
|
handler()
|
|
|
|
|
|
@_register_login("openai_codex")
|
|
def _login_openai_codex() -> None:
|
|
try:
|
|
from oauth_cli_kit import get_token, login_oauth_interactive
|
|
token = None
|
|
try:
|
|
token = get_token()
|
|
except Exception:
|
|
pass
|
|
if not (token and token.access):
|
|
console.print("[cyan]Starting interactive OAuth login...[/cyan]\n")
|
|
token = login_oauth_interactive(
|
|
print_fn=lambda s: console.print(s),
|
|
prompt_fn=lambda s: typer.prompt(s),
|
|
)
|
|
if not (token and token.access):
|
|
console.print("[red]✗ Authentication failed[/red]")
|
|
raise typer.Exit(1)
|
|
console.print(f"[green]✓ Authenticated with OpenAI Codex[/green] [dim]{token.account_id}[/dim]")
|
|
except ImportError:
|
|
console.print("[red]oauth_cli_kit not installed. Run: pip install oauth-cli-kit[/red]")
|
|
raise typer.Exit(1)
|
|
|
|
|
|
@_register_login("github_copilot")
|
|
def _login_github_copilot() -> None:
|
|
import asyncio
|
|
|
|
console.print("[cyan]Starting GitHub Copilot device flow...[/cyan]\n")
|
|
|
|
async def _trigger():
|
|
from litellm import acompletion
|
|
await acompletion(model="github_copilot/gpt-4o", messages=[{"role": "user", "content": "hi"}], max_tokens=1)
|
|
|
|
try:
|
|
asyncio.run(_trigger())
|
|
console.print("[green]✓ Authenticated with GitHub Copilot[/green]")
|
|
except Exception as e:
|
|
console.print(f"[red]Authentication error: {e}[/red]")
|
|
raise typer.Exit(1)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
app()
|