Files
nanobot/nanobot/cli/commands.py
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chengyongruandXubin Ren 883776358e fix: keep local api serve unauthenticated
maintainer edit: Align OpenAI-compatible API auth with the WebSocket channel boundary: loopback serve remains usable without a key, while wildcard binds still fail before agent initialization unless api.api_key is configured.
2026-07-08 12:16:12 +08:00

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"""CLI commands for nanobot."""
import asyncio
import os
import select
import signal
import sys
from collections.abc import Callable, Iterable
from contextlib import nullcontext, suppress
from pathlib import Path
from typing import Any
# Force UTF-8 encoding for Windows console
if sys.platform == "win32":
if sys.stdout.encoding != "utf-8":
os.environ["PYTHONIOENCODING"] = "utf-8"
# Re-open stdout/stderr with UTF-8 encoding
with suppress(Exception):
sys.stdout.reconfigure(encoding="utf-8", errors="replace")
sys.stderr.reconfigure(encoding="utf-8", errors="replace")
# Keep console encoding setup before importing CLI UI/logging libraries.
import typer # noqa: E402
from loguru import logger # noqa: E402
# Remove default handler and re-add with unified nanobot format
logger.remove()
_log_handler_id = logger.add(
sys.stderr,
format=(
"<green>{time:YYYY-MM-DD HH:mm:ss}</green> | "
"<level>{level: <5}</level> | "
"<cyan>{extra[channel]}</cyan> | "
"<level>{message}</level>"
),
level="INFO",
colorize=None,
filter=lambda record: record["extra"].setdefault("channel", "-") or True,
)
def _set_nanobot_logs(enabled: bool) -> None:
if enabled:
logger.enable("nanobot")
else:
logger.disable("nanobot")
from prompt_toolkit import PromptSession, print_formatted_text # noqa: E402
from prompt_toolkit.application import run_in_terminal # noqa: E402
from prompt_toolkit.formatted_text import ANSI, HTML # noqa: E402
from prompt_toolkit.history import FileHistory # noqa: E402
from prompt_toolkit.key_binding import KeyBindings # noqa: E402
from prompt_toolkit.keys import Keys # noqa: E402
from prompt_toolkit.patch_stdout import patch_stdout # noqa: E402
from rich.console import Console # noqa: E402
from rich.markdown import Markdown # noqa: E402
from rich.markup import escape # noqa: E402
from rich.table import Table # noqa: E402
from rich.text import Text # noqa: E402
from nanobot import __logo__, __version__ # noqa: E402
from nanobot import optional_features as feature_support # noqa: E402
from nanobot.agent.loop import AgentLoop # noqa: E402
from nanobot.bus.outbound_events import ( # noqa: E402
ProgressEvent,
RetryWaitEvent,
StreamDeltaEvent,
StreamedResponseEvent,
StreamEndEvent,
outbound_event_from_message,
)
from nanobot.cli.gateway import create_gateway_app # noqa: E402
from nanobot.cli.stream import StreamRenderer, ThinkingSpinner # noqa: E402
from nanobot.config.paths import get_workspace_path, is_default_workspace # noqa: E402
from nanobot.config.schema import Config # noqa: E402
from nanobot.utils.evaluator import evaluate_response # noqa: E402
from nanobot.utils.helpers import sync_workspace_templates # noqa: E402
from nanobot.utils.restart import ( # noqa: E402
consume_restart_notice_from_env,
format_restart_completed_message,
should_show_cli_restart_notice,
)
from nanobot.webui.sidebar_state import read_webui_sidebar_state # noqa: E402
def _sanitize_surrogates(text: str) -> str:
"""Reconstruct surrogate pairs into real characters; replace lone surrogates.
On Windows, console input may produce lone surrogate code points (e.g.
``\\ud83d\\udc08`` for U+1F408). Round-tripping through UTF-16 reconstructs
paired surrogates into their actual characters and replaces unpaired ones
with U+FFFD.
"""
return text.encode("utf-16-le", errors="surrogatepass").decode("utf-16-le", errors="replace")
def _signal_name(signum: int) -> str:
with suppress(ValueError):
return signal.Signals(signum).name
return f"signal {signum}"
def _ensure_gateway_tty_signal_mode() -> None:
"""Keep foreground gateway Ctrl+C usable even after a raw-mode TTY leak."""
try:
fd = sys.stdin.fileno()
if not os.isatty(fd):
return
except Exception:
return
with suppress(Exception):
import termios
attrs = termios.tcgetattr(fd)
lflag = attrs[3]
required = termios.ISIG | termios.ICANON | termios.ECHO
if (lflag & required) == required:
return
attrs[3] = lflag | required
termios.tcsetattr(fd, termios.TCSANOW, attrs)
termios.tcflush(fd, termios.TCIFLUSH)
logger.debug("Restored foreground gateway TTY signal mode")
def _install_gateway_shutdown_handlers(
loop: asyncio.AbstractEventLoop,
shutdown_event: asyncio.Event,
tasks: list[asyncio.Task],
print_status: Callable[[str], None],
) -> Callable[[], None]:
"""Install foreground gateway signal handlers and return a restore callback."""
loop_signals: list[int] = []
previous_handlers: list[tuple[int, Any]] = []
shutdown_requested = False
def request_shutdown(signum: int) -> None:
nonlocal shutdown_requested
sig_name = _signal_name(signum)
if shutdown_requested:
logger.warning("Forcing gateway shutdown after repeated {}", sig_name)
for task in tasks:
if not task.done():
task.cancel()
return
shutdown_requested = True
logger.info("Gateway shutdown requested by {}", sig_name)
print_status("\nShutting down... Press Ctrl+C again to force.")
shutdown_event.set()
for signum in (signal.SIGINT, signal.SIGTERM):
try:
loop.add_signal_handler(signum, request_shutdown, signum)
except (NotImplementedError, RuntimeError, ValueError):
try:
previous = signal.getsignal(signum)
signal.signal(signum, lambda sig, _frame: request_shutdown(sig))
except (RuntimeError, ValueError):
logger.debug("Could not install gateway handler for {}", _signal_name(signum))
continue
previous_handlers.append((signum, previous))
else:
loop_signals.append(signum)
def restore() -> None:
for signum in loop_signals:
with suppress(NotImplementedError, RuntimeError, ValueError):
loop.remove_signal_handler(signum)
for signum, handler in previous_handlers:
with suppress(RuntimeError, ValueError):
signal.signal(signum, handler)
return restore
def _advance_dream_cursor_if_behind(memory: Any) -> None:
latest = memory.get_latest_cursor()
if memory.get_last_dream_cursor() < latest:
memory.set_last_dream_cursor(latest)
class SafeFileHistory(FileHistory):
"""FileHistory subclass that sanitizes surrogate characters on write.
On Windows, special Unicode input (emoji, mixed-script) can produce
surrogate characters that crash prompt_toolkit's file write.
See issue #2846.
"""
def store_string(self, string: str) -> None:
super().store_string(_sanitize_surrogates(string))
app = typer.Typer(
name="nanobot",
context_settings={"help_option_names": ["-h", "--help"]},
help=f"{__logo__} nanobot - Personal AI Assistant",
no_args_is_help=True,
)
console = Console()
EXIT_COMMANDS = {"exit", "quit", "/exit", "/quit", ":q"}
_REASONING_SENTENCE_ENDINGS = (".", "!", "?", "。", "", "")
_REASONING_FLUSH_CHARS = 60
_HEARTBEAT_PREAMBLE = (
"[Your response will be delivered directly to the user's messaging app. "
"Output ONLY the final user-facing message. Never reference internal "
"files (HEARTBEAT.md, AWARENESS.md, etc.), your instructions, or your "
"decision process. If nothing needs reporting, respond with just "
"'All clear.' and nothing else.]\n\n"
)
def _heartbeat_has_active_tasks(content: str) -> bool:
"""True if HEARTBEAT.md has task lines, ignoring headers, blanks and comments."""
in_comment = False
in_active_section: bool = False
for line in content.splitlines():
stripped = line.strip()
if in_comment:
if "-->" in stripped:
in_comment = False
continue
if not stripped or stripped.startswith("#"):
if stripped.startswith("##") and not stripped.startswith("###"):
heading = stripped.lstrip("#").strip().lower()
in_active_section = heading.startswith("active tasks")
continue
if stripped.startswith("<!--"):
if "-->" not in stripped[4:]:
in_comment = True
continue
if in_active_section is False:
continue
return True
return False
def _pick_heartbeat_target_from_sessions(
*,
enabled_channels: Iterable[str],
sessions: Iterable[dict[str, Any]],
archived_keys: Iterable[str],
) -> tuple[str, str]:
enabled = set(enabled_channels)
archived = set(archived_keys)
for item in sessions:
key = item.get("key") or ""
if key in archived:
continue
if ":" not in key:
continue
channel, chat_id = key.split(":", 1)
if channel in {"cli", "system"}:
continue
if channel in enabled and chat_id:
return channel, chat_id
return "cli", "direct"
# ---------------------------------------------------------------------------
# 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
with suppress(Exception):
import termios
termios.tcflush(fd, termios.TCIFLUSH)
return
with suppress(Exception):
while True:
ready, _, _ = select.select([fd], [], [], 0)
if not ready:
break
if not os.read(fd, 4096):
break
def _restore_terminal() -> None:
"""Restore terminal to its original state (echo, line buffering, etc.)."""
if _SAVED_TERM_ATTRS is None:
return
with suppress(Exception):
import termios
termios.tcsetattr(sys.stdin.fileno(), termios.TCSADRAIN, _SAVED_TERM_ATTRS)
def _build_cli_key_bindings() -> KeyBindings:
"""Key bindings for the interactive prompt.
Behaviour:
* Enter -> submit the current input (keeps the familiar
single-line Enter-to-send feel even though the buffer
is multiline-capable).
* Alt+Enter -> insert a newline for multi-line input.
"""
kb = KeyBindings()
@kb.add("enter")
def _(event):
event.current_buffer.validate_and_handle()
@kb.add("escape", "enter") # Alt+Enter / Meta+Enter (ESC + CR, "\x1b\r")
def _(event):
event.current_buffer.insert_text("\n")
# LF-as-Enter terminals send Alt+Enter as ESC + LF rather than ESC + CR.
@kb.add("escape", Keys.ControlJ) # Alt+Enter on LF-as-Enter terminals
def _(event):
event.current_buffer.insert_text("\n")
return kb
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
with suppress(Exception):
import termios
_SAVED_TERM_ATTRS = termios.tcgetattr(sys.stdin.fileno())
from nanobot.config.paths import get_cli_history_path
history_file = get_cli_history_path()
history_file.parent.mkdir(parents=True, exist_ok=True)
_PROMPT_SESSION = PromptSession(
history=SafeFileHistory(str(history_file)),
enable_open_in_editor=False,
# Multiline-capable buffer; Enter still submits via the custom key
# bindings, while Alt+Enter adds a newline.
multiline=True,
key_bindings=_build_cli_key_bindings(),
)
def _make_console() -> Console:
return Console(file=sys.stdout)
def _render_interactive_ansi(render_fn) -> str:
"""Render Rich output to ANSI so prompt_toolkit can print it safely."""
ansi_console = Console(
force_terminal=sys.stdout.isatty(),
color_system=console.color_system or "standard",
width=console.width,
)
with ansi_console.capture() as capture:
render_fn(ansi_console)
return capture.get()
def _print_agent_response(
response: str,
render_markdown: bool,
metadata: dict | None = None,
show_header: bool = True,
) -> None:
"""Render assistant response with consistent terminal styling."""
console = _make_console()
content = response or ""
body = _response_renderable(content, render_markdown, metadata)
if show_header:
console.print()
console.print(f"[cyan]{__logo__} nanobot[/cyan]")
console.print(body)
console.print()
def _response_renderable(content: str, render_markdown: bool, metadata: dict | None = None):
"""Render plain-text command output without markdown collapsing newlines."""
if not render_markdown:
return Text(content)
if (metadata or {}).get("render_as") == "text":
return Text(content)
return Markdown(content)
async def _print_interactive_line(text: str) -> None:
"""Print async interactive updates with prompt_toolkit-safe Rich styling."""
def _write() -> None:
ansi = _render_interactive_ansi(
lambda c: c.print(f" [dim]↳ {text}[/dim]")
)
print_formatted_text(ANSI(ansi), end="")
await run_in_terminal(_write)
async def _print_interactive_response(
response: str,
render_markdown: bool,
metadata: dict | None = None,
) -> None:
"""Print async interactive replies with prompt_toolkit-safe Rich styling."""
def _write() -> None:
content = response or ""
ansi = _render_interactive_ansi(
lambda c: (
c.print(),
c.print(f"[cyan]{__logo__} nanobot[/cyan]"),
c.print(_response_renderable(content, render_markdown, metadata)),
c.print(),
)
)
print_formatted_text(ANSI(ansi), end="")
await run_in_terminal(_write)
def _print_cli_progress_line(text: str, thinking: ThinkingSpinner | None, renderer: StreamRenderer | None = None) -> None:
"""Print a CLI progress line, pausing the spinner if needed."""
if not text.strip():
return
target = renderer.console if renderer else console
pause = renderer.pause_spinner() if renderer else (thinking.pause() if thinking else nullcontext())
with pause:
if renderer:
renderer.ensure_header()
target.print(f" [dim]↳ {text}[/dim]")
class _ReasoningBuffer:
def __init__(self) -> None:
self._text = ""
def add(self, text: str) -> str | None:
if not text:
return None
self._text += text
if self._should_flush(text):
return self.flush()
return None
def flush(self) -> str | None:
text = self._text.strip()
self._text = ""
return text or None
def clear(self) -> None:
self._text = ""
def _should_flush(self, text: str) -> bool:
stripped = text.rstrip()
return (
"\n" in text
or stripped.endswith(_REASONING_SENTENCE_ENDINGS)
or len(self._text) >= _REASONING_FLUSH_CHARS
)
def _print_cli_reasoning(text: str, thinking: ThinkingSpinner | None, renderer: StreamRenderer | None = None) -> None:
"""Print reasoning/thinking content in a distinct style."""
if not text.strip():
return
target = renderer.console if renderer else console
pause = renderer.pause_spinner() if renderer else (thinking.pause() if thinking else nullcontext())
with pause:
if renderer:
renderer.ensure_header()
target.print(f"[dim italic]✻ {text}[/dim italic]")
def _flush_cli_reasoning(
reasoning_buffer: _ReasoningBuffer,
thinking: ThinkingSpinner | None,
renderer: StreamRenderer | None = None,
) -> None:
text = reasoning_buffer.flush()
if text:
_print_cli_reasoning(text, thinking, renderer)
async def _print_interactive_progress_line(text: str, thinking: ThinkingSpinner | None, renderer: StreamRenderer | None = None) -> None:
"""Print an interactive progress line, pausing the spinner if needed."""
if not text.strip():
return
if renderer:
with renderer.pause_spinner():
renderer.ensure_header()
renderer.console.print(f" [dim]↳ {text}[/dim]")
else:
with thinking.pause() if thinking else nullcontext():
await _print_interactive_line(text)
async def _maybe_print_interactive_progress(
msg: Any,
thinking: ThinkingSpinner | None,
channels_config: Any,
renderer: StreamRenderer | None = None,
reasoning_buffer: _ReasoningBuffer | None = None,
) -> bool:
event = outbound_event_from_message(msg)
if isinstance(event, RetryWaitEvent):
await _print_interactive_progress_line(msg.content, thinking, renderer)
return True
if not isinstance(event, ProgressEvent):
return False
reasoning_buffer = reasoning_buffer or _ReasoningBuffer()
if event.reasoning_end:
if channels_config and not channels_config.show_reasoning:
reasoning_buffer.clear()
else:
_flush_cli_reasoning(reasoning_buffer, thinking, renderer)
return True
is_tool_hint = event.tool_hint
is_reasoning = event.reasoning or event.reasoning_delta
if is_reasoning:
if channels_config and not channels_config.show_reasoning:
reasoning_buffer.clear()
return True
text = reasoning_buffer.add(msg.content)
if text:
_print_cli_reasoning(text, thinking, renderer)
return True
if channels_config and is_tool_hint and not channels_config.send_tool_hints:
return True
if channels_config and not is_tool_hint and not channels_config.send_progress:
return True
await _print_interactive_progress_line(msg.content, thinking, renderer)
return True
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(
workspace: str | None = typer.Option(None, "--workspace", "-w", help="Workspace directory"),
config: str | None = typer.Option(None, "--config", "-c", help="Path to config file"),
wizard: bool = typer.Option(False, "--wizard", help="Use interactive wizard"),
):
"""Initialize nanobot configuration and workspace."""
from nanobot.config.loader import get_config_path, load_config, save_config, set_config_path
from nanobot.config.schema import Config
if config:
config_path = Path(config).expanduser().resolve()
set_config_path(config_path)
console.print(f"[dim]Using config: {config_path}[/dim]")
else:
config_path = get_config_path()
def _apply_workspace_override(loaded: Config) -> Config:
if workspace:
loaded.agents.defaults.workspace = workspace
return loaded
# Create or update config
if config_path.exists():
if wizard:
config = _apply_workspace_override(load_config(config_path))
else:
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 = _apply_workspace_override(Config())
save_config(config, config_path)
console.print(f"[green]✓[/green] Config reset to defaults at {config_path}")
else:
config = _apply_workspace_override(load_config(config_path))
save_config(config, config_path)
console.print(
f"[green]✓[/green] Config refreshed at {config_path} (existing values preserved)"
)
else:
config = _apply_workspace_override(Config())
# In wizard mode, don't save yet - the wizard will handle saving if should_save=True
if not wizard:
save_config(config, config_path)
console.print(f"[green]✓[/green] Created config at {config_path}")
# Run interactive wizard if enabled
if wizard:
from nanobot.cli.onboard import run_onboard
try:
result = run_onboard(initial_config=config)
if not result.should_save:
console.print("[yellow]Configuration discarded. No changes were saved.[/yellow]")
return
config = result.config
save_config(config, config_path)
console.print(f"[green]✓[/green] Config saved at {config_path}")
except Exception as e:
console.print(f"[red]✗[/red] Error during configuration: {e}")
console.print("[yellow]Please run 'nanobot onboard' again to complete setup.[/yellow]")
raise typer.Exit(1)
_onboard_plugins(config_path)
# Create workspace, preferring the configured workspace path.
workspace_path = get_workspace_path(config.workspace_path)
if not workspace_path.exists():
workspace_path.mkdir(parents=True, exist_ok=True)
console.print(f"[green]✓[/green] Created workspace at {workspace_path}")
sync_workspace_templates(workspace_path)
agent_cmd = 'nanobot agent -m "Hello!"'
gateway_cmd = "nanobot gateway"
if config:
agent_cmd += f" --config {config_path}"
gateway_cmd += f" --config {config_path}"
console.print(f"\n{__logo__} nanobot is ready!")
console.print("\nNext steps:")
if wizard:
console.print(f" 1. Chat: [cyan]{agent_cmd}[/cyan]")
console.print(f" 2. Start gateway: [cyan]{gateway_cmd}[/cyan]")
else:
console.print(f" 1. Add your API key to [cyan]{config_path}[/cyan]")
console.print(" Get one at: https://openrouter.ai/keys")
console.print(f" 2. Chat: [cyan]{agent_cmd}[/cyan]")
console.print(
"\n[dim]Want Telegram/WhatsApp? See: https://github.com/HKUDS/nanobot#-chat-apps[/dim]"
)
def _merge_missing_defaults(existing: Any, defaults: Any) -> Any:
"""Recursively fill in missing values from defaults without overwriting user config."""
if not isinstance(existing, dict) or not isinstance(defaults, dict):
return existing
merged = dict(existing)
for key, value in defaults.items():
if key not in merged:
merged[key] = value
else:
merged[key] = _merge_missing_defaults(merged[key], value)
return merged
def _onboard_plugins(config_path: Path) -> None:
"""Inject default config for all discovered channels (built-in + plugins)."""
import json
from nanobot.channels.registry import discover_all
all_channels = discover_all()
if not all_channels:
return
with open(config_path, encoding="utf-8") as f:
data = json.load(f)
channels = data.setdefault("channels", {})
for name, cls in all_channels.items():
if name not in channels:
channels[name] = cls.default_config()
else:
channels[name] = _merge_missing_defaults(channels[name], cls.default_config())
with open(config_path, "w", encoding="utf-8") as f:
json.dump(data, f, indent=2, ensure_ascii=False)
def _print_enable_options(
extras: dict[str, list[str] | None],
builtin_channels: set[str],
plugin_channels: dict[str, Any],
config: Config,
) -> None:
table = Table(title="Available Features")
table.add_column("Name", style="cyan")
table.add_column("Type")
table.add_column("Enabled")
for item in sorted(builtin_channels | set(plugin_channels) | set(extras)):
is_channel = item in builtin_channels or item in plugin_channels
enabled = (
feature_support.channel_enabled(config, item)
if is_channel
else feature_support.extra_installed(item, extras[item])
)
table.add_row(
item,
"channel" if is_channel else "feature",
"[green]yes[/green]" if enabled else "[dim]no[/dim]",
)
console.print(table)
def _model_display(config: Config) -> tuple[str, str]:
"""Return (resolved_model_name, preset_tag) for display strings."""
resolved = config.resolve_preset()
name = config.agents.defaults.model_preset
tag = f" (preset: {name})" if name else ""
return resolved.model, tag
def _load_runtime_config(config: str | None = None, workspace: str | None = None) -> Config:
"""Load config and optionally override the active workspace."""
from nanobot.config.loader import load_config, resolve_config_env_vars, set_config_path
config_path = None
if config:
config_path = Path(config).expanduser().resolve()
if not config_path.exists():
console.print(f"[red]Error: Config file not found: {config_path}[/red]")
raise typer.Exit(1)
set_config_path(config_path)
console.print(f"[dim]Using config: {config_path}[/dim]")
try:
loaded = resolve_config_env_vars(load_config(config_path))
except ValueError as e:
console.print(f"[red]Error: {e}[/red]")
raise typer.Exit(1)
_warn_deprecated_config_keys(config_path)
if workspace:
loaded.agents.defaults.workspace = workspace
return loaded
def _read_trigger_cli_message(message: str | None) -> str:
"""Read a trigger message from an argument or stdin."""
if message and message.strip():
return message
try:
if not sys.stdin.isatty():
content = sys.stdin.read()
if content.strip():
return content
except Exception:
pass
console.print("[red]Error: trigger message is required[/red]")
raise typer.Exit(1)
def _warn_deprecated_config_keys(config_path: Path | None) -> None:
"""Hint users to remove obsolete keys from their config file."""
import json
from nanobot.config.loader import get_config_path
path = config_path or get_config_path()
try:
raw = json.loads(path.read_text(encoding="utf-8"))
except Exception:
return
if "memoryWindow" in raw.get("agents", {}).get("defaults", {}):
console.print(
"[dim]Hint: `memoryWindow` in your config is no longer used "
"and can be safely removed.[/dim]"
)
def _load_inspection_config(
config: str | None = None,
workspace: str | None = None,
) -> tuple[Path, Config]:
"""Load config for diagnostic commands without resolving secret env refs."""
from nanobot.config.loader import get_config_path, load_config, set_config_path
config_path = None
if config:
config_path = Path(config).expanduser().resolve(strict=False)
set_config_path(config_path)
console.print(f"[dim]Using config: {config_path}[/dim]")
display_path = config_path or get_config_path()
try:
loaded = load_config(config_path)
except ValueError as exc:
console.print(f"[red]Error: {exc}[/red]")
raise typer.Exit(1) from exc
_warn_deprecated_config_keys(display_path)
if workspace:
loaded.agents.defaults.workspace = workspace
return display_path, loaded
def _confirm_webui_action(message: str, *, yes: bool) -> None:
"""Confirm a WebUI first-run mutation or fail clearly in non-interactive shells."""
if yes:
return
try:
interactive = sys.stdin.isatty()
except Exception:
interactive = False
if not interactive:
console.print(
"[red]Error: WebUI setup needs confirmation. Re-run with --yes or use "
"`nanobot onboard --wizard`.[/red]"
)
raise typer.Exit(1)
if not typer.confirm(message, default=True):
console.print("[yellow]WebUI setup cancelled.[/yellow]")
raise typer.Exit(1)
def _resolve_webui_config_path(config: str | None) -> Path:
"""Resolve the config path used by ``nanobot webui`` and bind loader state."""
from nanobot.config.loader import get_config_path, set_config_path
if not config:
return get_config_path()
config_path = Path(config).expanduser().resolve(strict=False)
set_config_path(config_path)
console.print(f"[dim]Using config: {config_path}[/dim]")
return config_path
def _load_webui_setup_config(config_path: Path) -> Config:
"""Load config for first-run mutation without resolving env-var placeholders."""
from nanobot.config.loader import load_config
try:
return load_config(config_path)
except ValueError as e:
console.print(f"[red]Error: {e}[/red]")
raise typer.Exit(1) from e
def _provider_setup_error(config: Config) -> str | None:
"""Return the provider setup error, or None when the current model can start."""
from nanobot.config.loader import resolve_config_env_vars
from nanobot.providers.factory import build_provider_snapshot
try:
build_provider_snapshot(resolve_config_env_vars(config.model_copy(deep=True)))
except ValueError as exc:
return str(exc)
return None
def _webui_config_dict(config: Config) -> dict[str, Any]:
"""Return the current WebSocket config as a mutable alias-key dictionary."""
from nanobot.channels.websocket import WebSocketConfig
current = getattr(config.channels, "websocket", None) or {}
model = WebSocketConfig.model_validate(current)
return model.model_dump(by_alias=True, exclude_none=True)
def _host_for_local_browser(host: str) -> str:
"""Map bind hosts to a browser-openable local host."""
if host in {"0.0.0.0", ""}:
return "127.0.0.1"
if host == "::":
return "[::1]"
if ":" in host and not host.startswith("["):
return f"[{host}]"
return host
def _webui_browser_url(config: Config) -> str:
ws_cfg = _webui_config_dict(config)
host = _host_for_local_browser(str(ws_cfg.get("host") or "127.0.0.1"))
port = int(ws_cfg.get("port") or 8765)
return f"http://{host}:{port}"
def _ensure_local_webui_channel(config: Config, *, port: int | None, yes: bool) -> bool:
"""Enable the local WebUI channel with safe localhost defaults."""
from nanobot.channels.websocket import WebSocketConfig
current = getattr(config.channels, "websocket", None) or {}
model = WebSocketConfig.model_validate(current)
changed = False
needs_enable = not model.enabled
needs_port = port is not None and model.port != port
if not needs_enable and not needs_port:
return False
target_port = port if port is not None else model.port
console.print()
console.print("[bold]Local WebUI setup[/bold]")
console.print(f" URL: [cyan]http://127.0.0.1:{target_port}[/cyan]")
console.print(" Bind: [cyan]127.0.0.1 only[/cyan] (not exposed to your LAN)")
console.print(" Auth: localhost bootstrap issues short-lived WebSocket tokens")
console.print(
" LAN access requires an explicit host change plus a WebUI password in config."
)
_confirm_webui_action("Enable the local WebUI channel in this config?", yes=yes)
if not model.enabled:
model.enabled = True
changed = True
if model.host != "127.0.0.1":
model.host = "127.0.0.1"
changed = True
if port is not None and model.port != port:
model.port = port
changed = True
if not model.websocket_requires_token:
model.websocket_requires_token = True
changed = True
setattr(config.channels, "websocket", model.model_dump(by_alias=True, exclude_none=True))
return changed
def _warn_webui_bind_scope(config: Config) -> None:
ws_cfg = _webui_config_dict(config)
host = str(ws_cfg.get("host") or "127.0.0.1")
if host in {"127.0.0.1", "localhost", "::1"}:
return
console.print(
"[yellow]Warning: WebUI is configured to bind outside localhost. "
"Keep tokenIssueSecret set and use this only on trusted networks.[/yellow]"
)
def _wait_for_webui(url: str, *, timeout_s: float = 5.0) -> None:
"""Best-effort wait for the WebUI listener before opening a browser."""
import socket
import time
from urllib.parse import urlparse
parsed = urlparse(url)
host = parsed.hostname or "127.0.0.1"
port = parsed.port or (443 if parsed.scheme == "https" else 80)
deadline = time.monotonic() + timeout_s
while time.monotonic() < deadline:
try:
with socket.create_connection((host, port), timeout=0.2):
return
except OSError:
time.sleep(0.1)
def _open_webui_browser(url: str, *, wait: bool = True) -> None:
"""Open the WebUI in the user's default browser, with a copyable fallback."""
import webbrowser
if wait:
_wait_for_webui(url)
try:
webbrowser.open(url)
console.print(f"[green]✓[/green] Opened WebUI: [cyan]{url}[/cyan]")
except Exception as exc:
console.print(f"[yellow]Could not open browser ({exc}); visit {url}[/yellow]")
def _gateway_instance_command(
subcommand: str,
*,
config_path: Path,
workspace: str | None,
) -> str:
"""Return a copyable gateway command for the same config/workspace instance."""
import shlex
parts = ["nanobot", "gateway", subcommand, "--config", str(config_path)]
if workspace:
workspace_path = str(Path(workspace).expanduser().resolve(strict=False))
parts.extend(["--workspace", workspace_path])
return " ".join(shlex.quote(part) for part in parts)
def _run_quick_start_for_webui(config: Config, *, yes: bool) -> Config:
"""Offer the existing Quick Start flow when provider setup is missing."""
if yes:
console.print(
"[red]Error: provider/model setup is incomplete, and --yes cannot answer "
"provider credentials. Run `nanobot webui` interactively or "
"`nanobot onboard --wizard`.[/red]"
)
raise typer.Exit(1)
console.print()
console.print("[yellow]Model provider setup is not ready.[/yellow]")
console.print("Quick Start will ask for provider, API key/base URL, model, and WebUI password.")
_confirm_webui_action("Run Quick Start now?", yes=False)
from nanobot.cli.onboard import run_quick_start_onboard
try:
result = run_quick_start_onboard(config)
except RuntimeError as exc:
console.print(f"[red]Error: {exc}[/red]")
console.print("[yellow]Run `nanobot onboard --wizard` after installing wizard dependencies.[/yellow]")
raise typer.Exit(1) from exc
if not result.should_save:
console.print("[yellow]Quick Start cancelled. No changes were saved.[/yellow]")
raise typer.Exit(1)
return result.config
def _migrate_cron_store(config: "Config") -> None:
"""One-time migration: move legacy global cron store into the workspace."""
from nanobot.config.paths import get_cron_dir
legacy_path = get_cron_dir() / "jobs.json"
new_path = config.workspace_path / "cron" / "jobs.json"
if legacy_path.is_file() and not new_path.exists():
new_path.parent.mkdir(parents=True, exist_ok=True)
import shutil
shutil.move(str(legacy_path), str(new_path))
@app.command()
def trigger(
trigger_id: str = typer.Argument(..., help="Trigger ID returned by /trigger"),
message: str | None = typer.Argument(None, help="Message to deliver; stdin is used when omitted"),
workspace: str | None = typer.Option(None, "--workspace", "-w", help="Workspace directory"),
config: str | None = typer.Option(None, "--config", "-c", help="Config file path"),
):
"""Deliver a local trigger message to its bound chat session."""
from nanobot.triggers.local_store import (
LocalTriggerStore,
TriggerDisabledError,
TriggerNotFoundError,
TriggerStoreError,
)
runtime_config = _load_runtime_config(config, workspace)
content = _read_trigger_cli_message(message)
store = LocalTriggerStore(runtime_config.workspace_path)
try:
delivery = store.enqueue(trigger_id, content)
except (TriggerNotFoundError, TriggerDisabledError) as exc:
console.print(f"[red]Error: {exc}[/red]")
raise typer.Exit(1) from exc
except (TriggerStoreError, ValueError) as exc:
console.print(f"[red]Error: {exc}[/red]")
raise typer.Exit(1) from exc
console.print(f"[green]Queued[/green] {delivery.trigger_id} ({delivery.id})")
# ============================================================================
# OpenAI-Compatible API Server
# ============================================================================
@app.command()
def serve(
port: int | None = typer.Option(None, "--port", "-p", help="API server port"),
host: str | None = typer.Option(None, "--host", "-H", help="Bind address"),
timeout: float | None = typer.Option(None, "--timeout", "-t", help="Per-request timeout (seconds)"),
verbose: bool = typer.Option(False, "--verbose", "-v", help="Show nanobot runtime logs"),
workspace: str | None = typer.Option(None, "--workspace", "-w", help="Workspace directory"),
config: str | None = typer.Option(None, "--config", "-c", help="Path to config file"),
):
"""Start the OpenAI-compatible API server (/v1/chat/completions)."""
try:
from aiohttp import web # noqa: F401
except ImportError:
console.print("[red]aiohttp is required. Install with: nanobot plugins enable api[/red]")
raise typer.Exit(1)
from nanobot.api.server import create_app
from nanobot.bus.queue import MessageBus
from nanobot.providers.image_generation import image_gen_provider_configs
from nanobot.session.manager import SessionManager
_set_nanobot_logs(verbose)
runtime_config = _load_runtime_config(config, workspace)
api_cfg = runtime_config.api
host = host if host is not None else api_cfg.host
port = port if port is not None else api_cfg.port
timeout = timeout if timeout is not None else api_cfg.timeout
api_key = api_cfg.api_key.strip() if api_cfg.api_key else ""
if host in {"0.0.0.0", "::"} and not api_key:
console.print(
"[red]Error: host is 0.0.0.0 (all interfaces) but api_key is not set. "
"Set api.api_key in config to prevent unauthenticated access.[/red]"
)
raise typer.Exit(1)
sync_workspace_templates(runtime_config.workspace_path)
bus = MessageBus()
session_manager = SessionManager(runtime_config.workspace_path)
try:
agent_loop = AgentLoop.from_config(
runtime_config, bus,
session_manager=session_manager,
image_generation_provider_configs=image_gen_provider_configs(runtime_config),
)
except ValueError as exc:
console.print(f"[red]Error: {exc}[/red]")
raise typer.Exit(1) from exc
model_name, preset_tag = _model_display(runtime_config)
console.print(f"{__logo__} Starting OpenAI-compatible API server")
console.print(f" [cyan]Endpoint[/cyan] : http://{host}:{port}/v1/chat/completions")
console.print(f" [cyan]Model[/cyan] : {model_name}{preset_tag}")
console.print(" [cyan]Session[/cyan] : api:default")
console.print(f" [cyan]Timeout[/cyan] : {timeout}s")
if host in {"0.0.0.0", "::"}:
console.print(
"[yellow]API is bound to all interfaces "
"(authentication required).[/yellow]"
)
console.print()
api_app = create_app(
agent_loop, model_name=model_name, request_timeout=timeout,
api_key=api_key,
)
async def on_startup(_app):
await agent_loop._connect_mcp()
async def on_cleanup(_app):
await agent_loop.close_mcp()
api_app.on_startup.append(on_startup)
api_app.on_cleanup.append(on_cleanup)
web.run_app(api_app, host=host, port=port, print=lambda msg: logger.info(msg))
# ============================================================================
# WebUI Launcher
# ============================================================================
@app.command()
def webui(
port: int | None = typer.Option(None, "--port", "-p", help="WebUI port"),
gateway_port: int | None = typer.Option(
None,
"--gateway-port",
help="Gateway health port",
),
workspace: str | None = typer.Option(None, "--workspace", "-w", help="Workspace directory"),
config: str | None = typer.Option(None, "--config", "-c", help="Path to config file"),
background: bool = typer.Option(False, "--background", help="Start gateway in the background"),
no_open: bool = typer.Option(False, "--no-open", help="Do not open a browser"),
yes: bool = typer.Option(
False,
"--yes",
"-y",
help="Apply safe local WebUI defaults without prompting",
),
) -> None:
"""Prepare the local WebUI, start the gateway, and open the browser workbench."""
from nanobot.config.loader import save_config
from nanobot.gateway import GatewayRuntime, GatewayRuntimePaths, GatewayStartOptions
config_path = _resolve_webui_config_path(config)
created_config = not config_path.exists()
if created_config:
console.print(f"[yellow]No config found at {config_path}.[/yellow]")
_confirm_webui_action("Create a nanobot config and workspace now?", yes=yes)
setup_config = _load_webui_setup_config(config_path)
if workspace:
setup_config.agents.defaults.workspace = workspace
provider_error = _provider_setup_error(setup_config)
if provider_error:
console.print(f"[dim]Provider check: {provider_error}[/dim]")
setup_config = _run_quick_start_for_webui(setup_config, yes=yes)
if workspace:
setup_config.agents.defaults.workspace = workspace
try:
changed_webui = _ensure_local_webui_channel(setup_config, port=port, yes=yes)
_warn_webui_bind_scope(setup_config)
webui_url = _webui_browser_url(setup_config)
except ValueError as exc:
console.print(f"[red]Error: invalid WebUI channel config: {exc}[/red]")
raise typer.Exit(1) from exc
if created_config or provider_error or changed_webui or workspace:
save_config(setup_config, config_path)
console.print(f"[green]✓[/green] Saved config: {config_path}")
workspace_path = get_workspace_path(setup_config.workspace_path)
workspace_path.mkdir(parents=True, exist_ok=True)
sync_workspace_templates(workspace_path)
runtime_config = _load_runtime_config(str(config_path), workspace)
effective_gateway_port = gateway_port if gateway_port is not None else runtime_config.gateway.port
console.print()
console.print(f"WebUI: [cyan]{webui_url}[/cyan]")
console.print(f"Gateway health: [cyan]http://{runtime_config.gateway.host}:{effective_gateway_port}/health[/cyan]")
if no_open:
console.print("[dim]Browser opening disabled by --no-open.[/dim]")
if background:
config_arg = str(config_path)
workspace_arg = str(Path(workspace).expanduser().resolve(strict=False)) if workspace else None
runtime = GatewayRuntime(
paths=GatewayRuntimePaths.for_instance(
data_dir=config_path.parent,
workspace=workspace_arg,
config_path=config_arg,
)
)
result = runtime.start_background(
GatewayStartOptions(
port=effective_gateway_port,
workspace=workspace_arg,
config_path=config_arg,
)
)
if not result.ok and result.message != "gateway_already_running":
console.print(f"[yellow]Gateway was not started: {result.message}[/yellow]")
console.print(f"Logs: {result.status.log_path}")
raise typer.Exit(1)
if result.ok:
console.print("[green]Gateway started in the background.[/green]")
else:
console.print("[yellow]Gateway is already running in the background.[/yellow]")
console.print(
"Manage this instance: "
f"[cyan]{_gateway_instance_command('status', config_path=config_path, workspace=workspace)}[/cyan]"
)
console.print(
"View logs: "
f"[cyan]{_gateway_instance_command('logs', config_path=config_path, workspace=workspace)}[/cyan]"
)
if not no_open:
_open_webui_browser(webui_url)
return
_run_gateway(
runtime_config,
port=effective_gateway_port,
open_browser_url=None if no_open else webui_url,
)
# ============================================================================
# Gateway / Server
# ============================================================================
def _run_gateway(
config: Config,
*,
port: int | None = None,
open_browser_url: str | None = None,
webui_static_dist: bool = True,
webui_runtime_surface: str = "browser",
webui_runtime_capabilities: dict[str, Any] | None = None,
health_server_enabled: bool = True,
) -> None:
"""Shared gateway runtime; ``open_browser_url`` opens a tab once channels are up."""
from nanobot.agent.tools.message import MessageTool
from nanobot.bus.queue import MessageBus
from nanobot.bus.runtime_events import RuntimeEventBus
from nanobot.channels.manager import ChannelManager
from nanobot.cron.bound_runner import run_bound_cron_job
from nanobot.cron.service import CronJobSkippedError, CronService
from nanobot.cron.session_turns import is_bound_cron_job
from nanobot.cron.types import CronJob
from nanobot.providers.factory import build_provider_snapshot, load_provider_snapshot
from nanobot.providers.image_generation import image_gen_provider_configs
from nanobot.session.manager import SessionManager
from nanobot.session.webui_turns import WebuiTurnCoordinator
from nanobot.triggers.local_runner import run_local_trigger_queue
from nanobot.triggers.local_store import LocalTriggerStore
from nanobot.webui.token_usage import TokenUsageHook
port = port if port is not None else config.gateway.port
console.print(f"{__logo__} Starting nanobot gateway version {__version__} on port {port}...")
sync_workspace_templates(config.workspace_path)
bus = MessageBus()
runtime_events = RuntimeEventBus()
try:
provider_snapshot = build_provider_snapshot(config)
except ValueError as exc:
console.print(f"[red]Error: {exc}[/red]")
raise typer.Exit(1) from exc
session_manager = SessionManager(config.workspace_path)
# Self-heal the gateway state file with the current PID after any restart.
from nanobot.config.loader import get_config_path
from nanobot.gateway.runtime import GatewayRuntime, GatewayRuntimePaths
config_path = str(get_config_path().resolve(strict=False))
GatewayRuntime.refresh_state_pid(
paths=GatewayRuntimePaths.for_instance(
workspace=str(config.workspace_path)
if not is_default_workspace(config.workspace_path)
else None,
config_path=config_path,
)
)
# Preserve existing single-workspace installs, but keep custom workspaces clean.
if is_default_workspace(config.workspace_path):
_migrate_cron_store(config)
# Create cron service with workspace-scoped store
cron_store_path = config.workspace_path / "cron" / "jobs.json"
cron = CronService(cron_store_path)
trigger_store = LocalTriggerStore(config.workspace_path)
# Create agent with cron service
agent = AgentLoop.from_config(
config, bus,
provider=provider_snapshot.provider,
model=provider_snapshot.model,
context_window_tokens=provider_snapshot.context_window_tokens,
cron_service=cron,
session_manager=session_manager,
image_generation_provider_configs=image_gen_provider_configs(config),
provider_snapshot_loader=load_provider_snapshot,
runtime_events=runtime_events,
provider_signature=provider_snapshot.signature,
hooks=[TokenUsageHook(timezone_name=config.agents.defaults.timezone)],
local_trigger_store=trigger_store,
)
WebuiTurnCoordinator(
bus=bus,
sessions=session_manager,
schedule_background=lambda coro: agent._schedule_background(coro),
).subscribe(runtime_events)
from nanobot.bus.events import OutboundMessage
from nanobot.session.keys import session_key_for_channel
def _channel_session_key(channel: str, chat_id: str) -> str:
return session_key_for_channel(
channel,
chat_id,
unified_session=config.agents.defaults.unified_session,
)
async def _deliver_to_channel(
msg: OutboundMessage, *, record: bool = False, session_key: str | None = None,
) -> None:
"""Publish a user-visible message and mirror it into that channel's session."""
metadata = dict(msg.metadata or {})
record = record or bool(metadata.pop("_record_channel_delivery", False))
if metadata != (msg.metadata or {}):
msg = OutboundMessage(
channel=msg.channel,
chat_id=msg.chat_id,
content=msg.content,
reply_to=msg.reply_to,
media=msg.media,
metadata=metadata,
buttons=msg.buttons,
)
if (
record
and msg.channel != "cli"
and msg.content.strip()
and hasattr(session_manager, "get_or_create")
and hasattr(session_manager, "save")
):
key = session_key or _channel_session_key(msg.channel, msg.chat_id)
session = session_manager.get_or_create(key)
extra: dict[str, Any] = {"_channel_delivery": True}
if msg.media:
extra["media"] = list(msg.media)
session.add_message("assistant", msg.content, **extra)
session_manager.save(session)
await bus.publish_outbound(msg)
message_tool = getattr(agent, "tools", {}).get("message")
if isinstance(message_tool, MessageTool):
message_tool.set_send_callback(_deliver_to_channel)
# Set cron callback (needs agent)
async def on_cron_job(job: CronJob) -> str | None:
"""Execute a cron job through the agent."""
async def _silent(*_args, **_kwargs):
pass
# Dream is an internal job — run directly, not through the agent loop.
if job.name == "dream":
from nanobot.agent.memory import MemoryStore
dream_session_key = MemoryStore.dream_session_key
build_dream_commit_message = MemoryStore.build_dream_commit_message
prune_dream_sessions = MemoryStore.prune_dream_sessions
store = agent.context.memory
resp = None
diff_body = ""
try:
result = store.build_dream_prompt()
if result is None:
logger.info("Dream: nothing to process")
return None
prompt, last_cursor = result
key = dream_session_key()
resp = await agent.process_direct(
prompt,
session_key=key,
ephemeral=True,
tools=store.build_dream_tools(),
on_progress=_silent,
)
# Ground truth: the real file delta, not the LLM's self-report.
diff_body = store.dream_content_diff()
productive = bool(diff_body) or (
not store.git.is_initialized()
and MemoryStore.dream_run_completed(resp)
)
if productive:
store.set_last_dream_cursor(last_cursor)
logger.info("Dream cron job completed, cursor advanced to {}", last_cursor)
elif MemoryStore.dream_run_completed(resp):
logger.info(
"Dream cron job completed with no memory changes; "
"cursor not advanced",
)
else:
logger.warning(
"Dream cron job did not complete; cursor remains at {}",
store.get_last_dream_cursor(),
)
except Exception:
logger.exception("Dream cron job failed")
finally:
from nanobot.webui.token_usage import record_response_token_usage
record_response_token_usage(
resp,
source="dream",
timezone_name=config.agents.defaults.timezone,
)
if store.git.is_initialized():
msg = build_dream_commit_message(
"dream: periodic memory consolidation", diff_body,
)
sha = store.git.auto_commit(msg)
if sha:
logger.info("Dream commit: {}", sha)
store.compact_history()
prune_dream_sessions(agent.sessions.sessions_dir)
return None
# Heartbeat is a system job that checks HEARTBEAT.md for active tasks.
if job.name == "heartbeat":
heartbeat_file = config.workspace_path / "HEARTBEAT.md"
try:
content = heartbeat_file.read_text(encoding="utf-8")
except OSError:
logger.debug("Heartbeat: HEARTBEAT.md missing")
return None
if not _heartbeat_has_active_tasks(content):
logger.debug("Heartbeat: HEARTBEAT.md has no active tasks")
return None
channel, chat_id = _pick_heartbeat_target()
if channel == "cli":
return None
prompt = (
_HEARTBEAT_PREAMBLE
+ f"Review the following HEARTBEAT.md and report any active tasks:\n\n{content}"
)
# Internal check: funnel all output through the post-run gate so the
# turn can't deliver directly via the message tool and skip it.
suppress_token = None
if isinstance(message_tool, MessageTool):
suppress_token = message_tool.set_suppress_delivery(True)
try:
resp = await agent.process_direct(
prompt,
session_key="heartbeat",
channel=channel,
chat_id=chat_id,
on_progress=_silent,
)
finally:
if isinstance(message_tool, MessageTool) and suppress_token is not None:
message_tool.reset_suppress_delivery(suppress_token)
response = resp.content if resp else ""
# Keep a small tail of heartbeat history so the loop stays bounded.
session = agent.sessions.get_or_create("heartbeat")
session.retain_recent_legal_suffix(hb_cfg.keep_recent_messages)
agent.sessions.save(session)
if not response:
return None
# Fail closed: stay silent on evaluator failure instead of notifying.
should_notify = await evaluate_response(
response, prompt, agent.provider, agent.model,
default_notify=False,
)
if should_notify:
logger.info("Heartbeat: completed, delivering response")
await _deliver_to_channel(
OutboundMessage(channel=channel, chat_id=chat_id, content=response),
record=True,
)
else:
logger.info("Heartbeat: silenced by post-run evaluation")
return response
if is_bound_cron_job(job):
return await run_bound_cron_job(job, agent=agent, cron=cron)
reason = "unbound agent cron job must be recreated from a chat session"
logger.warning(
"Cron: skipped unbound agent job '{}' ({}): {}",
job.name,
job.id,
reason,
)
raise CronJobSkippedError(reason)
cron.on_job = on_cron_job
def _webui_runtime_model_name() -> str | None:
model = getattr(agent, "model", None)
if isinstance(model, str):
stripped = model.strip()
return stripped or None
return None
# Create channel manager (forwards SessionManager so the WebSocket channel
# can serve the embedded webui's REST surface).
channels = ChannelManager(
config,
bus,
session_manager=session_manager,
cron_service=cron,
local_trigger_store=trigger_store,
webui_runtime_model_name=_webui_runtime_model_name,
webui_cron_pending_job_ids=getattr(agent, "pending_cron_job_ids_for_session", None),
webui_local_trigger_pending_ids=getattr(
agent,
"pending_local_trigger_ids_for_session",
None,
),
webui_static_dist=webui_static_dist,
webui_runtime_surface=webui_runtime_surface,
webui_runtime_capabilities=webui_runtime_capabilities,
)
def _pick_heartbeat_target() -> tuple[str, str]:
"""Pick a routable channel/chat target for heartbeat-triggered messages."""
sidebar_state = read_webui_sidebar_state()
return _pick_heartbeat_target_from_sessions(
enabled_channels=channels.enabled_channels,
sessions=session_manager.list_sessions(),
archived_keys=sidebar_state.get("archived_keys", []),
)
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")
hb_cfg = config.gateway.heartbeat
if hb_cfg.enabled:
console.print(f"[green]✓[/green] Heartbeat: every {hb_cfg.interval_s}s")
else:
console.print("[yellow]✗[/yellow] Heartbeat: disabled")
async def _health_server(host: str, health_port: int):
"""Lightweight HTTP health endpoint on the gateway port."""
import json as _json
async def handle(reader, writer):
try:
data = await asyncio.wait_for(reader.read(4096), timeout=5)
except (asyncio.TimeoutError, ConnectionError):
writer.close()
return
request_line = data.split(b"\r\n", 1)[0].decode("utf-8", errors="replace")
method, path = "", ""
parts = request_line.split(" ")
if len(parts) >= 2:
method, path = parts[0], parts[1]
if method == "GET" and path == "/health":
body = _json.dumps({"status": "ok"})
resp = (
f"HTTP/1.0 200 OK\r\n"
f"Content-Type: application/json\r\n"
f"Content-Length: {len(body)}\r\n"
f"\r\n{body}"
)
else:
body = "Not Found"
resp = (
f"HTTP/1.0 404 Not Found\r\n"
f"Content-Type: text/plain\r\n"
f"Content-Length: {len(body)}\r\n"
f"\r\n{body}"
)
writer.write(resp.encode())
await writer.drain()
writer.close()
server = await asyncio.start_server(handle, host, health_port)
console.print(f"[green]✓[/green] Health endpoint: http://{host}:{health_port}/health")
async with server:
await server.serve_forever()
# Register Dream system job (idempotent on restart)
from nanobot.cron.types import CronJob, CronPayload, CronSchedule
dream_cfg = config.agents.defaults.dream
if dream_cfg.enabled:
cron.register_system_job(CronJob(
id="dream",
name="dream",
schedule=dream_cfg.build_schedule(config.agents.defaults.timezone),
payload=CronPayload(kind="system_event"),
))
console.print(f"[green]✓[/green] Dream: {dream_cfg.describe_schedule()}")
else:
console.print("[yellow]○[/yellow] Dream: disabled")
_advance_dream_cursor_if_behind(agent.context.memory)
# Register Heartbeat system job (idempotent on restart)
if hb_cfg.enabled:
cron.register_system_job(CronJob(
id="heartbeat",
name="heartbeat",
schedule=CronSchedule(
kind="every",
every_ms=hb_cfg.interval_s * 1000,
tz=config.agents.defaults.timezone,
),
payload=CronPayload(kind="system_event"),
))
async def _open_browser_when_ready() -> None:
"""Wait for the gateway to bind, then point the user's browser at the webui."""
if not open_browser_url:
return
import webbrowser
from urllib.parse import urlparse
parsed = urlparse(open_browser_url)
target_host = parsed.hostname or config.gateway.host or "127.0.0.1"
target_port = parsed.port or port
# Channels start asynchronously; a short poll lets us avoid racing the bind.
for _ in range(40): # ~4s max
try:
reader, writer = await asyncio.open_connection(
target_host,
target_port,
)
writer.close()
with suppress(Exception):
await writer.wait_closed()
break
except OSError:
await asyncio.sleep(0.1)
try:
webbrowser.open(open_browser_url)
console.print(f"[green]✓[/green] Opened browser at {open_browser_url}")
except Exception as e:
console.print(f"[yellow]Could not open browser ({e}); visit {open_browser_url}[/yellow]")
async def run():
tasks: list[asyncio.Task] = []
shutdown_task: asyncio.Task | None = None
runtime_tasks: asyncio.Future | None = None
runtime_tasks_drained = False
shutdown_event = asyncio.Event()
_ensure_gateway_tty_signal_mode()
restore_shutdown_handlers = _install_gateway_shutdown_handlers(
asyncio.get_running_loop(),
shutdown_event,
tasks,
console.print,
)
try:
await cron.start()
tasks = [
asyncio.create_task(agent.run(), name="nanobot-agent-loop"),
asyncio.create_task(channels.start_all(), name="nanobot-channels"),
asyncio.create_task(
run_local_trigger_queue(
store=trigger_store,
submit_turn=getattr(agent, "submit_local_trigger_turn", None),
),
name="nanobot-local-triggers",
),
]
if health_server_enabled:
tasks.append(asyncio.create_task(
_health_server(config.gateway.host, port),
name="nanobot-health-server",
))
if open_browser_url:
tasks.append(asyncio.create_task(
_open_browser_when_ready(),
name="nanobot-open-browser",
))
runtime_tasks = asyncio.gather(*tasks)
shutdown_task = asyncio.create_task(
shutdown_event.wait(),
name="nanobot-gateway-shutdown",
)
done, _pending = await asyncio.wait(
{runtime_tasks, shutdown_task},
return_when=asyncio.FIRST_COMPLETED,
)
if runtime_tasks in done:
runtime_tasks_drained = True
await runtime_tasks
elif runtime_tasks is not None:
runtime_tasks.cancel()
except KeyboardInterrupt:
console.print("\nShutting down...")
except Exception:
import traceback
console.print("\n[red]Error: Gateway crashed unexpectedly[/red]")
console.print(traceback.format_exc())
finally:
try:
if shutdown_task and not shutdown_task.done():
shutdown_task.cancel()
with suppress(asyncio.CancelledError):
await shutdown_task
cron.stop()
agent.stop()
for task in tasks:
if not task.done():
task.cancel()
if tasks:
await asyncio.gather(*tasks, return_exceptions=True)
if runtime_tasks is not None and not runtime_tasks_drained:
with suppress(asyncio.CancelledError, Exception):
await runtime_tasks
await channels.stop_all()
# Flush all cached sessions to durable storage before exit.
# This prevents data loss on filesystems with write-back
# caching (rclone VFS, NFS, FUSE mounts, etc.).
flushed = agent.sessions.flush_all()
if flushed:
logger.info("Shutdown: flushed {} session(s) to disk", flushed)
finally:
restore_shutdown_handlers()
asyncio.run(run())
app.add_typer(
create_gateway_app(
console=console,
log_handler_id=_log_handler_id,
load_runtime_config=_load_runtime_config,
run_gateway=_run_gateway,
),
name="gateway",
)
# ============================================================================
# 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"),
workspace: str | None = typer.Option(None, "--workspace", "-w", help="Workspace directory"),
config: str | None = typer.Option(None, "--config", "-c", help="Config file path"),
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.bus.queue import MessageBus
from nanobot.cron.service import CronService
from nanobot.providers.image_generation import image_gen_provider_configs
config = _load_runtime_config(config, workspace)
sync_workspace_templates(config.workspace_path)
bus = MessageBus()
# Preserve existing single-workspace installs, but keep custom workspaces clean.
if is_default_workspace(config.workspace_path):
_migrate_cron_store(config)
# Create cron service with workspace-scoped store
cron_store_path = config.workspace_path / "cron" / "jobs.json"
cron = CronService(cron_store_path)
_set_nanobot_logs(logs)
try:
agent_loop = AgentLoop.from_config(
config, bus,
cron_service=cron,
image_generation_provider_configs=image_gen_provider_configs(config),
)
except ValueError as exc:
console.print(f"[red]Error: {exc}[/red]")
raise typer.Exit(1) from exc
restart_notice = consume_restart_notice_from_env()
if restart_notice and should_show_cli_restart_notice(restart_notice, session_id):
_print_agent_response(
format_restart_completed_message(restart_notice.started_at_raw),
render_markdown=False,
)
# Shared reference for progress callbacks
_thinking: ThinkingSpinner | None = None
def _make_progress(renderer: StreamRenderer | None = None):
reasoning_buffer = _ReasoningBuffer()
async def _cli_progress(content: str, *, tool_hint: bool = False, reasoning: bool = False, **_kwargs: Any) -> None:
ch = agent_loop.channels_config
if _kwargs.get("reasoning_end"):
if ch and not ch.show_reasoning:
reasoning_buffer.clear()
else:
_flush_cli_reasoning(reasoning_buffer, _thinking, renderer)
return
if reasoning:
if ch and not ch.show_reasoning:
reasoning_buffer.clear()
return
text = reasoning_buffer.add(content)
if text:
_print_cli_reasoning(text, _thinking, renderer)
return
if ch and tool_hint and not ch.send_tool_hints:
return
if ch and not tool_hint and not ch.send_progress:
return
_print_cli_progress_line(content, _thinking, renderer)
return _cli_progress
if message:
# Single message mode — direct call, no bus needed
async def run_once():
renderer = StreamRenderer(
render_markdown=markdown,
bot_name=config.agents.defaults.bot_name,
bot_icon=config.agents.defaults.bot_icon,
)
response = await agent_loop.process_direct(
message, session_id,
on_progress=_make_progress(renderer),
on_stream=renderer.on_delta,
on_stream_end=renderer.on_end,
)
if not renderer.streamed:
await renderer.close()
print_kwargs: dict[str, Any] = {}
if renderer.header_printed:
print_kwargs["show_header"] = False
_print_agent_response(
response.content if response else "",
render_markdown=markdown,
metadata=response.metadata if response else None,
**print_kwargs,
)
await agent_loop.close_mcp()
asyncio.run(run_once())
else:
# Interactive mode — route through bus like other channels
from nanobot.bus.events import InboundMessage
_init_prompt_session()
_model, _preset_tag = _model_display(config)
_icon = config.agents.defaults.bot_icon or __logo__
console.print(f"{_icon} Interactive mode [bold blue]({_model})[/bold blue]{_preset_tag} — type [bold]exit[/bold] or [bold]Ctrl+C[/bold] to quit\n")
if ":" in session_id:
cli_channel, cli_chat_id = session_id.split(":", 1)
else:
cli_channel, cli_chat_id = "cli", session_id
def _handle_signal(signum, frame):
sig_name = signal.Signals(signum).name
_restore_terminal()
console.print(f"\nReceived {sig_name}, goodbye!")
sys.exit(0)
signal.signal(signal.SIGINT, _handle_signal)
signal.signal(signal.SIGTERM, _handle_signal)
# SIGHUP is not available on Windows
if hasattr(signal, 'SIGHUP'):
signal.signal(signal.SIGHUP, _handle_signal)
# Ignore SIGPIPE to prevent silent process termination when writing to closed pipes
# SIGPIPE is not available on Windows
if hasattr(signal, 'SIGPIPE'):
signal.signal(signal.SIGPIPE, signal.SIG_IGN)
async def run_interactive():
bus_task = asyncio.create_task(agent_loop.run())
turn_done = asyncio.Event()
turn_done.set()
turn_response: list[Any] = []
renderer: StreamRenderer | None = None
reasoning_buffer = _ReasoningBuffer()
async def _consume_outbound():
while True:
try:
msg = await asyncio.wait_for(bus.consume_outbound(), timeout=1.0)
event = outbound_event_from_message(msg)
if isinstance(event, StreamDeltaEvent):
if renderer:
await renderer.on_delta(msg.content)
continue
if isinstance(event, StreamEndEvent):
if renderer:
await renderer.on_end(
resuming=event.resuming,
)
continue
if isinstance(event, StreamedResponseEvent):
if msg.content and renderer and not renderer.streamed:
await renderer.close()
print_kwargs: dict[str, Any] = {}
if renderer.header_printed:
print_kwargs["show_header"] = False
_print_agent_response(
msg.content,
render_markdown=markdown,
metadata=msg.metadata,
**print_kwargs,
)
turn_done.set()
continue
if await _maybe_print_interactive_progress(
msg,
renderer,
agent_loop.channels_config,
renderer,
reasoning_buffer,
):
continue
if not turn_done.is_set():
if msg.content:
turn_response.append(msg)
turn_done.set()
elif msg.content:
await _print_interactive_response(
msg.content,
render_markdown=markdown,
metadata=msg.metadata,
)
except asyncio.TimeoutError:
continue
except asyncio.CancelledError:
break
outbound_task = asyncio.create_task(_consume_outbound())
try:
while True:
try:
_flush_pending_tty_input()
# Stop spinner before user input to avoid prompt_toolkit conflicts
if renderer:
renderer.stop_for_input()
user_input = _sanitize_surrogates(await _read_interactive_input_async())
command = user_input.strip()
if not command:
continue
if _is_exit_command(command):
_restore_terminal()
console.print("\nGoodbye!")
break
turn_done.clear()
turn_response.clear()
reasoning_buffer.clear()
renderer = StreamRenderer(
render_markdown=markdown,
bot_name=config.agents.defaults.bot_name,
bot_icon=config.agents.defaults.bot_icon,
)
await bus.publish_inbound(InboundMessage(
channel=cli_channel,
sender_id="user",
chat_id=cli_chat_id,
content=user_input,
metadata={"_wants_stream": True},
))
await turn_done.wait()
if turn_response:
response_msg = turn_response[0]
content = response_msg.content
meta = response_msg.metadata
if content and not isinstance(response_msg.event, StreamedResponseEvent):
if renderer:
await renderer.close()
print_kwargs: dict[str, Any] = {}
if renderer and renderer.header_printed:
print_kwargs["show_header"] = False
_print_agent_response(
content,
render_markdown=markdown,
metadata=meta,
**print_kwargs,
)
elif renderer and not renderer.streamed:
await renderer.close()
except KeyboardInterrupt:
_restore_terminal()
console.print("\nGoodbye!")
break
except EOFError:
_restore_terminal()
console.print("\nGoodbye!")
break
finally:
agent_loop.stop()
outbound_task.cancel()
await asyncio.gather(bus_task, outbound_task, return_exceptions=True)
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(
config: str | None = typer.Option(None, "--config", "-c", help="Path to config file"),
):
"""Show channel status."""
from nanobot.channels.registry import discover_all
_, loaded = _load_inspection_config(config=config)
table = Table(title="Channel Status")
table.add_column("Channel", style="cyan")
table.add_column("Enabled")
for name, cls in sorted(discover_all().items()):
section = getattr(loaded.channels, name, None)
if section is None:
enabled = False
elif isinstance(section, dict):
enabled = section.get("enabled", False)
else:
enabled = getattr(section, "enabled", False)
table.add_row(
cls.display_name,
"[green]\u2713[/green]" if enabled else "[dim]\u2717[/dim]",
)
console.print(table)
@channels_app.command("login")
def channels_login(
channel_name: str = typer.Argument(..., help="Channel name (e.g. weixin, whatsapp)"),
force: bool = typer.Option(False, "--force", "-f", help="Force re-authentication even if already logged in"),
config: str | None = typer.Option(None, "--config", "-c", help="Path to config file"),
):
"""Authenticate with a channel via QR code or other interactive login."""
from nanobot.channels.registry import discover_all
_, loaded = _load_inspection_config(config=config)
channel_cfg = getattr(loaded.channels, channel_name, None) or {}
# Validate channel exists
all_channels = discover_all()
if channel_name not in all_channels:
available = ", ".join(all_channels.keys())
console.print(f"[red]Unknown channel: {channel_name}[/red] Available: {available}")
raise typer.Exit(1)
console.print(f"{__logo__} {all_channels[channel_name].display_name} Login\n")
channel_cls = all_channels[channel_name]
channel = channel_cls(channel_cfg, bus=None)
success = asyncio.run(channel.login(force=force))
if not success:
raise typer.Exit(1)
# ============================================================================
# Plugin Commands
# ============================================================================
plugins_app = typer.Typer(help="Manage optional nanobot features")
app.add_typer(plugins_app, name="plugins")
@plugins_app.command("list")
def plugins_list(
config_path: str | None = typer.Option(None, "--config", "-c", help="Path to config file"),
):
"""List optional nanobot features."""
from nanobot.channels.registry import discover_channel_names, discover_plugins
from nanobot.config.loader import load_config, set_config_path
resolved_config_path = Path(config_path).expanduser().resolve() if config_path else None
if resolved_config_path is not None:
set_config_path(resolved_config_path)
_print_enable_options(
feature_support.optional_dependency_groups(),
set(discover_channel_names()),
discover_plugins(),
load_config(resolved_config_path),
)
@plugins_app.command("enable")
def plugins_enable(
name: str = typer.Argument(..., help="Feature name (e.g. weixin, matrix, pdf)"),
config_path: str | None = typer.Option(None, "--config", "-c", help="Path to config file"),
logs: bool = typer.Option(False, "--logs/--no-logs", help="Show optional package install logs"),
):
"""Enable a nanobot feature."""
from nanobot.config.loader import get_config_path, set_config_path
resolved_config_path = Path(config_path).expanduser().resolve() if config_path else None
if resolved_config_path is not None:
set_config_path(resolved_config_path)
resolved_config_path = resolved_config_path or get_config_path()
_set_nanobot_logs(logs)
try:
payload = feature_support.enable_optional_feature(
name,
config_path=resolved_config_path,
runner=feature_support.run_install_command,
)
except feature_support.OptionalFeatureError as exc:
console.print(f"[red]{escape(exc.message)}[/red]")
raise typer.Exit(1) from exc
message = payload.get("last_action", {}).get("message") or f"Enabled feature '{name}'"
console.print(f"[green]{escape(message)}[/green]")
@plugins_app.command("disable")
def plugins_disable(
name: str = typer.Argument(..., help="Channel name (e.g. telegram, matrix, slack)"),
config_path: str | None = typer.Option(None, "--config", "-c", help="Path to config file"),
):
"""Disable a nanobot channel feature."""
from nanobot.config.loader import get_config_path, set_config_path
resolved_config_path = Path(config_path).expanduser().resolve() if config_path else None
if resolved_config_path is not None:
set_config_path(resolved_config_path)
resolved_config_path = resolved_config_path or get_config_path()
try:
payload = feature_support.disable_optional_feature(name, config_path=resolved_config_path)
except feature_support.OptionalFeatureError as exc:
console.print(f"[red]{escape(exc.message)}[/red]")
raise typer.Exit(1) from exc
message = payload.get("last_action", {}).get("message") or f"Disabled channel '{name}'"
console.print(f"[green]{escape(message)}[/green] in {resolved_config_path}")
# ============================================================================
# Status Commands
# ============================================================================
@app.command()
def status(
config: str | None = typer.Option(None, "--config", "-c", help="Path to config file"),
workspace: str | None = typer.Option(None, "--workspace", "-w", help="Workspace directory"),
):
"""Show nanobot status."""
config_path, loaded = _load_inspection_config(config=config, workspace=workspace)
workspace_path = loaded.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_path} "
f"{'[green]✓[/green]' if workspace_path.exists() else '[red]✗[/red]'}"
)
if config_path.exists():
from nanobot.providers.registry import PROVIDERS
_model, _preset_tag = _model_display(loaded)
console.print(f"Model: {_model}{_preset_tag}")
# Check API keys from registry
for spec in PROVIDERS:
p = getattr(loaded.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[[], None]] = {}
_LOGOUT_HANDLERS: dict[str, Callable[[], None]] = {}
_PROVIDER_DISPLAY: dict[str, str] = {
"openai_codex": "OpenAI Codex",
"github_copilot": "GitHub Copilot",
}
_OAUTH_PROVIDER_DEFAULT_MODELS: dict[str, str] = {
"openai_codex": "openai-codex/gpt-5.4-mini",
"github_copilot": "github-copilot/gpt-5.4-mini",
}
def _register_login(name: str):
"""Register an OAuth login handler."""
def decorator(fn):
_LOGIN_HANDLERS[name] = fn
return fn
return decorator
def _register_logout(name: str):
"""Register an OAuth logout handler."""
def decorator(fn):
_LOGOUT_HANDLERS[name] = fn
return fn
return decorator
def _resolve_oauth_provider(provider: str):
"""Resolve and validate an OAuth provider configuration."""
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)
return spec
def _set_oauth_provider_as_main(
provider_name: str,
*,
model: str | None = None,
config_path: str | None = None,
) -> None:
"""Persist an OAuth provider as the active agent provider."""
from nanobot.config.loader import get_config_path, load_config, save_config, set_config_path
resolved_config_path = Path(config_path).expanduser().resolve() if config_path else None
if resolved_config_path is not None:
set_config_path(resolved_config_path)
console.print(f"[dim]Using config: {resolved_config_path}[/dim]")
config = load_config(resolved_config_path)
selected_model = (model or "").strip() or _OAUTH_PROVIDER_DEFAULT_MODELS[provider_name]
config.agents.defaults.model_preset = None
config.agents.defaults.provider = provider_name
config.agents.defaults.model = selected_model
save_config(config, resolved_config_path)
saved_path = resolved_config_path or get_config_path()
console.print(
f"[green]✓ Set {provider_name.replace('_', '-')} as the main provider[/green] "
f"[dim]{selected_model}[/dim]"
)
console.print(f"[dim]Saved: {saved_path}[/dim]")
@provider_app.command("login")
def provider_login(
provider: str = typer.Argument(..., help="OAuth provider (e.g. 'openai-codex', 'github-copilot')"),
set_main: bool = typer.Option(
False,
"--set-main",
"--main",
help="Set this OAuth provider as the active agent provider after login",
),
model: str | None = typer.Option(
None,
"--model",
"-m",
help="Model to use when setting this provider as the active provider",
),
config: str | None = typer.Option(None, "--config", "-c", help="Path to config file"),
):
"""Authenticate with an OAuth provider."""
spec = _resolve_oauth_provider(provider)
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()
if set_main or model:
_set_oauth_provider_as_main(spec.name, model=model, config_path=config)
@provider_app.command("logout")
def provider_logout(
provider: str = typer.Argument(..., help="OAuth provider (e.g. 'openai-codex', 'github-copilot')"),
):
"""Log out from an OAuth provider."""
spec = _resolve_oauth_provider(provider)
handler = _LOGOUT_HANDLERS.get(spec.name)
if not handler:
console.print(f"[red]Logout not implemented for {spec.label}[/red]")
raise typer.Exit(1)
console.print(f"{__logo__} OAuth Logout - {spec.label}\n")
handler()
@_register_login("openai_codex")
def _login_openai_codex() -> None:
try:
from oauth_cli_kit import get_token, login_oauth_interactive
from nanobot.config.loader import load_config, resolve_config_env_vars
proxy = None
try:
proxy = resolve_config_env_vars(load_config()).providers.openai_codex.proxy or None
except ValueError as e:
console.print(f"[red]{e}[/red]")
raise typer.Exit(1) from e
token = None
with suppress(Exception):
token = get_token(proxy=proxy)
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),
proxy=proxy,
)
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_logout("openai_codex")
def _logout_openai_codex() -> None:
"""Clear local OAuth credentials for OpenAI Codex."""
try:
from oauth_cli_kit.providers import OPENAI_CODEX_PROVIDER
from oauth_cli_kit.storage import FileTokenStorage
except ImportError:
console.print("[red]oauth_cli_kit not installed. Run: pip install oauth-cli-kit[/red]")
raise typer.Exit(1)
storage = FileTokenStorage(token_filename=OPENAI_CODEX_PROVIDER.token_filename)
_delete_oauth_files(storage.get_token_path(), _PROVIDER_DISPLAY["openai_codex"])
@_register_logout("github_copilot")
def _logout_github_copilot() -> None:
"""Clear local OAuth credentials for GitHub Copilot."""
try:
from nanobot.providers.github_copilot_provider import get_storage
except ImportError:
console.print("[red]oauth_cli_kit not installed. Run: pip install oauth-cli-kit[/red]")
raise typer.Exit(1)
storage = get_storage()
_delete_oauth_files(storage.get_token_path(), _PROVIDER_DISPLAY["github_copilot"])
def _delete_oauth_files(token_path: Path, provider_label: str) -> None:
"""Delete OAuth token and lock files, reporting the result."""
removed_paths: list[Path] = []
skipped: list[tuple[Path, OSError]] = []
for path in (token_path, token_path.with_suffix(".lock")):
try:
path.unlink()
except FileNotFoundError:
continue
except OSError as exc:
skipped.append((path, exc))
continue
removed_paths.append(path)
if not removed_paths and not skipped:
console.print(f"[yellow]! No local OAuth credentials found for {provider_label}[/yellow]")
return
if removed_paths:
console.print(f"[green]✓ Logged out from {provider_label}[/green]")
for path in removed_paths:
console.print(f"[dim]Removed: {path}[/dim]")
for path, exc in skipped:
console.print(f"[yellow]! Could not remove {path}: {exc}[/yellow]")
@_register_login("github_copilot")
def _login_github_copilot() -> None:
try:
from nanobot.providers.github_copilot_provider import login_github_copilot
console.print("[cyan]Starting GitHub Copilot device flow...[/cyan]\n")
token = login_github_copilot(
print_fn=lambda s: console.print(s),
prompt_fn=lambda s: typer.prompt(s),
)
account = token.account_id or "GitHub"
console.print(f"[green]✓ Authenticated with GitHub Copilot[/green] [dim]{account}[/dim]")
except Exception as e:
console.print(f"[red]Authentication error: {e}[/red]")
raise typer.Exit(1)
if __name__ == "__main__":
app()