mirror of
https://github.com/HKUDS/nanobot.git
synced 2026-05-03 16:25:53 +00:00
1572626100
When heartbeat delivers output to a channel (e.g. Telegram), the message is a raw OutboundMessage that bypasses the channel's session. If the user replies, their reply enters a different session with no context about the heartbeat message, so the agent cannot follow through. This change injects the delivered heartbeat message as an assistant turn into the target channel's session before publishing the outbound. When the user replies, the channel session has conversational context. Handles unified_session mode by resolving to UNIFIED_SESSION_KEY when enabled, matching the agent loop's own session routing. No changes to agent/loop.py, session/manager.py, channels, providers, or config schema — uses existing add_message() and save() APIs.
1532 lines
56 KiB
Python
1532 lines
56 KiB
Python
"""CLI commands for nanobot."""
|
|
|
|
import asyncio
|
|
import os
|
|
import select
|
|
import signal
|
|
import sys
|
|
from contextlib import nullcontext
|
|
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
|
|
try:
|
|
sys.stdout.reconfigure(encoding="utf-8", errors="replace")
|
|
sys.stderr.reconfigure(encoding="utf-8", errors="replace")
|
|
except Exception:
|
|
pass
|
|
|
|
import typer
|
|
from loguru import logger
|
|
from prompt_toolkit import PromptSession, print_formatted_text
|
|
from prompt_toolkit.application import run_in_terminal
|
|
from prompt_toolkit.formatted_text import ANSI, HTML
|
|
from prompt_toolkit.history import FileHistory
|
|
from prompt_toolkit.patch_stdout import patch_stdout
|
|
from rich.console import Console
|
|
from rich.markdown import Markdown
|
|
from rich.table import Table
|
|
from rich.text import Text
|
|
|
|
from nanobot import __logo__, __version__
|
|
|
|
|
|
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:
|
|
safe = string.encode("utf-8", errors="surrogateescape").decode("utf-8", errors="replace")
|
|
super().store_string(safe)
|
|
from nanobot.cli.stream import StreamRenderer, ThinkingSpinner
|
|
from nanobot.config.paths import get_workspace_path, is_default_workspace
|
|
from nanobot.config.schema import Config
|
|
from nanobot.utils.helpers import sync_workspace_templates
|
|
from nanobot.utils.restart import (
|
|
consume_restart_notice_from_env,
|
|
format_restart_completed_message,
|
|
should_show_cli_restart_notice,
|
|
)
|
|
|
|
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"}
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# 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
|
|
|
|
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=False, # Enter submits (single line mode)
|
|
)
|
|
|
|
|
|
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,
|
|
) -> None:
|
|
"""Render assistant response with consistent terminal styling."""
|
|
console = _make_console()
|
|
content = response or ""
|
|
body = _response_renderable(content, render_markdown, metadata)
|
|
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) -> None:
|
|
"""Print a CLI progress line, pausing the spinner if needed."""
|
|
if not text.strip():
|
|
return
|
|
with thinking.pause() if thinking else nullcontext():
|
|
console.print(f" [dim]↳ {text}[/dim]")
|
|
|
|
|
|
async def _print_interactive_progress_line(text: str, thinking: ThinkingSpinner | None) -> None:
|
|
"""Print an interactive progress line, pausing the spinner if needed."""
|
|
if not text.strip():
|
|
return
|
|
with thinking.pause() if thinking else nullcontext():
|
|
await _print_interactive_line(text)
|
|
|
|
|
|
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 _make_provider(config: Config):
|
|
"""Create the appropriate LLM provider from config.
|
|
|
|
Routing is driven by ``ProviderSpec.backend`` in the registry.
|
|
"""
|
|
from nanobot.providers.base import GenerationSettings
|
|
from nanobot.providers.registry import find_by_name
|
|
|
|
model = config.agents.defaults.model
|
|
provider_name = config.get_provider_name(model)
|
|
p = config.get_provider(model)
|
|
spec = find_by_name(provider_name) if provider_name else None
|
|
backend = spec.backend if spec else "openai_compat"
|
|
|
|
# --- validation ---
|
|
if backend == "azure_openai":
|
|
if not p or not p.api_key or not p.api_base:
|
|
console.print("[red]Error: Azure OpenAI requires api_key and api_base.[/red]")
|
|
console.print("Set them in ~/.nanobot/config.json under providers.azure_openai section")
|
|
console.print("Use the model field to specify the deployment name.")
|
|
raise typer.Exit(1)
|
|
elif backend == "openai_compat" and not model.startswith("bedrock/"):
|
|
needs_key = not (p and p.api_key)
|
|
exempt = spec and (spec.is_oauth or spec.is_local or spec.is_direct)
|
|
if needs_key and not exempt:
|
|
console.print("[red]Error: No API key configured.[/red]")
|
|
console.print("Set one in ~/.nanobot/config.json under providers section")
|
|
raise typer.Exit(1)
|
|
|
|
# --- instantiation by backend ---
|
|
if backend == "openai_codex":
|
|
from nanobot.providers.openai_codex_provider import OpenAICodexProvider
|
|
|
|
provider = OpenAICodexProvider(default_model=model)
|
|
elif backend == "azure_openai":
|
|
from nanobot.providers.azure_openai_provider import AzureOpenAIProvider
|
|
|
|
provider = AzureOpenAIProvider(
|
|
api_key=p.api_key,
|
|
api_base=p.api_base,
|
|
default_model=model,
|
|
)
|
|
elif backend == "github_copilot":
|
|
from nanobot.providers.github_copilot_provider import GitHubCopilotProvider
|
|
provider = GitHubCopilotProvider(default_model=model)
|
|
elif backend == "anthropic":
|
|
from nanobot.providers.anthropic_provider import AnthropicProvider
|
|
|
|
provider = AnthropicProvider(
|
|
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,
|
|
)
|
|
else:
|
|
from nanobot.providers.openai_compat_provider import OpenAICompatProvider
|
|
|
|
provider = OpenAICompatProvider(
|
|
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,
|
|
spec=spec,
|
|
)
|
|
|
|
defaults = config.agents.defaults
|
|
provider.generation = GenerationSettings(
|
|
temperature=defaults.temperature,
|
|
max_tokens=defaults.max_tokens,
|
|
reasoning_effort=defaults.reasoning_effort,
|
|
)
|
|
return provider
|
|
|
|
|
|
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 _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 _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))
|
|
|
|
|
|
# ============================================================================
|
|
# 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: pip install 'nanobot-ai[api]'[/red]")
|
|
raise typer.Exit(1)
|
|
|
|
from loguru import logger
|
|
from nanobot.agent.loop import AgentLoop
|
|
from nanobot.api.server import create_app
|
|
from nanobot.bus.queue import MessageBus
|
|
from nanobot.session.manager import SessionManager
|
|
|
|
if verbose:
|
|
logger.enable("nanobot")
|
|
else:
|
|
logger.disable("nanobot")
|
|
|
|
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
|
|
sync_workspace_templates(runtime_config.workspace_path)
|
|
bus = MessageBus()
|
|
provider = _make_provider(runtime_config)
|
|
session_manager = SessionManager(runtime_config.workspace_path)
|
|
agent_loop = AgentLoop(
|
|
bus=bus,
|
|
provider=provider,
|
|
workspace=runtime_config.workspace_path,
|
|
model=runtime_config.agents.defaults.model,
|
|
max_iterations=runtime_config.agents.defaults.max_tool_iterations,
|
|
context_window_tokens=runtime_config.agents.defaults.context_window_tokens,
|
|
context_block_limit=runtime_config.agents.defaults.context_block_limit,
|
|
max_tool_result_chars=runtime_config.agents.defaults.max_tool_result_chars,
|
|
provider_retry_mode=runtime_config.agents.defaults.provider_retry_mode,
|
|
web_config=runtime_config.tools.web,
|
|
exec_config=runtime_config.tools.exec,
|
|
restrict_to_workspace=runtime_config.tools.restrict_to_workspace,
|
|
session_manager=session_manager,
|
|
mcp_servers=runtime_config.tools.mcp_servers,
|
|
channels_config=runtime_config.channels,
|
|
timezone=runtime_config.agents.defaults.timezone,
|
|
unified_session=runtime_config.agents.defaults.unified_session,
|
|
disabled_skills=runtime_config.agents.defaults.disabled_skills,
|
|
session_ttl_minutes=runtime_config.agents.defaults.session_ttl_minutes,
|
|
tools_config=runtime_config.tools,
|
|
)
|
|
|
|
model_name = runtime_config.agents.defaults.model
|
|
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}")
|
|
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]Warning:[/yellow] API is bound to all interfaces. "
|
|
"Only do this behind a trusted network boundary, firewall, or reverse proxy."
|
|
)
|
|
console.print()
|
|
|
|
api_app = create_app(agent_loop, model_name=model_name, request_timeout=timeout)
|
|
|
|
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))
|
|
|
|
|
|
# ============================================================================
|
|
# Gateway / Server
|
|
# ============================================================================
|
|
|
|
|
|
@app.command()
|
|
def gateway(
|
|
port: int | None = typer.Option(None, "--port", "-p", help="Gateway port"),
|
|
workspace: str | None = typer.Option(None, "--workspace", "-w", help="Workspace directory"),
|
|
verbose: bool = typer.Option(False, "--verbose", "-v", help="Verbose output"),
|
|
config: str | None = typer.Option(None, "--config", "-c", help="Path to config file"),
|
|
):
|
|
"""Start the nanobot gateway."""
|
|
if verbose:
|
|
import logging
|
|
|
|
logging.basicConfig(level=logging.DEBUG)
|
|
cfg = _load_runtime_config(config, workspace)
|
|
_run_gateway(cfg, port=port)
|
|
|
|
|
|
def _run_gateway(
|
|
config: Config,
|
|
*,
|
|
port: int | None = None,
|
|
open_browser_url: str | None = None,
|
|
) -> None:
|
|
"""Shared gateway runtime; ``open_browser_url`` opens a tab once channels are up."""
|
|
from nanobot.agent.loop import AgentLoop
|
|
from nanobot.bus.queue import MessageBus
|
|
from nanobot.channels.manager import ChannelManager
|
|
from nanobot.cron.service import CronService
|
|
from nanobot.cron.types import CronJob
|
|
from nanobot.heartbeat.service import HeartbeatService
|
|
from nanobot.session.manager import SessionManager
|
|
|
|
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()
|
|
provider = _make_provider(config)
|
|
session_manager = SessionManager(config.workspace_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)
|
|
|
|
# Create agent with cron service
|
|
agent = AgentLoop(
|
|
bus=bus,
|
|
provider=provider,
|
|
workspace=config.workspace_path,
|
|
model=config.agents.defaults.model,
|
|
max_iterations=config.agents.defaults.max_tool_iterations,
|
|
context_window_tokens=config.agents.defaults.context_window_tokens,
|
|
web_config=config.tools.web,
|
|
context_block_limit=config.agents.defaults.context_block_limit,
|
|
max_tool_result_chars=config.agents.defaults.max_tool_result_chars,
|
|
provider_retry_mode=config.agents.defaults.provider_retry_mode,
|
|
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,
|
|
channels_config=config.channels,
|
|
timezone=config.agents.defaults.timezone,
|
|
unified_session=config.agents.defaults.unified_session,
|
|
disabled_skills=config.agents.defaults.disabled_skills,
|
|
session_ttl_minutes=config.agents.defaults.session_ttl_minutes,
|
|
tools_config=config.tools,
|
|
)
|
|
|
|
# Set cron callback (needs agent)
|
|
async def on_cron_job(job: CronJob) -> str | None:
|
|
"""Execute a cron job through the agent."""
|
|
# Dream is an internal job — run directly, not through the agent loop.
|
|
if job.name == "dream":
|
|
try:
|
|
await agent.dream.run()
|
|
logger.info("Dream cron job completed")
|
|
except Exception:
|
|
logger.exception("Dream cron job failed")
|
|
return None
|
|
|
|
from nanobot.agent.tools.cron import CronTool
|
|
from nanobot.agent.tools.message import MessageTool
|
|
from nanobot.utils.evaluator import evaluate_response
|
|
|
|
reminder_note = (
|
|
"[Scheduled Task] Timer finished.\n\n"
|
|
f"Task '{job.name}' has been triggered.\n"
|
|
f"Scheduled instruction: {job.payload.message}"
|
|
)
|
|
|
|
cron_tool = agent.tools.get("cron")
|
|
cron_token = None
|
|
if isinstance(cron_tool, CronTool):
|
|
cron_token = cron_tool.set_cron_context(True)
|
|
|
|
async def _silent(*_args, **_kwargs):
|
|
pass
|
|
|
|
try:
|
|
resp = await agent.process_direct(
|
|
reminder_note,
|
|
session_key=f"cron:{job.id}",
|
|
channel=job.payload.channel or "cli",
|
|
chat_id=job.payload.to or "direct",
|
|
on_progress=_silent,
|
|
)
|
|
finally:
|
|
if isinstance(cron_tool, CronTool) and cron_token is not None:
|
|
cron_tool.reset_cron_context(cron_token)
|
|
|
|
response = resp.content if resp else ""
|
|
|
|
message_tool = agent.tools.get("message")
|
|
if job.payload.deliver and isinstance(message_tool, MessageTool) and message_tool._sent_in_turn:
|
|
return response
|
|
|
|
if job.payload.deliver and job.payload.to and response:
|
|
should_notify = await evaluate_response(
|
|
response, reminder_note, provider, agent.model,
|
|
)
|
|
if should_notify:
|
|
from nanobot.bus.events import OutboundMessage
|
|
await bus.publish_outbound(OutboundMessage(
|
|
channel=job.payload.channel or "cli",
|
|
chat_id=job.payload.to,
|
|
content=response,
|
|
))
|
|
return response
|
|
|
|
cron.on_job = on_cron_job
|
|
|
|
# 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)
|
|
|
|
def _pick_heartbeat_target() -> tuple[str, str]:
|
|
"""Pick a routable channel/chat target for heartbeat-triggered messages."""
|
|
enabled = set(channels.enabled_channels)
|
|
# Prefer the most recently updated non-internal session on an enabled channel.
|
|
for item in session_manager.list_sessions():
|
|
key = item.get("key") or ""
|
|
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
|
|
# Fallback keeps prior behavior but remains explicit.
|
|
return "cli", "direct"
|
|
|
|
# Create heartbeat service
|
|
async def on_heartbeat_execute(tasks: str) -> str:
|
|
"""Phase 2: execute heartbeat tasks through the full agent loop."""
|
|
channel, chat_id = _pick_heartbeat_target()
|
|
|
|
async def _silent(*_args, **_kwargs):
|
|
pass
|
|
|
|
resp = await agent.process_direct(
|
|
tasks,
|
|
session_key="heartbeat",
|
|
channel=channel,
|
|
chat_id=chat_id,
|
|
on_progress=_silent,
|
|
)
|
|
|
|
# Keep a small tail of heartbeat history so the loop stays bounded
|
|
# without losing all short-term context between runs.
|
|
session = agent.sessions.get_or_create("heartbeat")
|
|
session.retain_recent_legal_suffix(hb_cfg.keep_recent_messages)
|
|
agent.sessions.save(session)
|
|
|
|
return resp.content if resp else ""
|
|
|
|
async def on_heartbeat_notify(response: str) -> None:
|
|
"""Deliver a heartbeat response to the user's channel.
|
|
|
|
In addition to publishing the outbound message, this injects the
|
|
delivered text as an assistant turn into the *target channel's*
|
|
session. Without this, a user reply on the channel (e.g. "Sure")
|
|
lands in a session that has no context about the heartbeat message
|
|
and the agent cannot follow through.
|
|
"""
|
|
from nanobot.bus.events import OutboundMessage
|
|
channel, chat_id = _pick_heartbeat_target()
|
|
if channel == "cli":
|
|
return # No external channel available to deliver to
|
|
|
|
# Inject the delivered message into the channel session so that
|
|
# user replies have conversational context.
|
|
from nanobot.agent.loop import UNIFIED_SESSION_KEY
|
|
target_key = (
|
|
UNIFIED_SESSION_KEY
|
|
if config.agents.defaults.unified_session
|
|
else f"{channel}:{chat_id}"
|
|
)
|
|
target_session = agent.sessions.get_or_create(target_key)
|
|
target_session.add_message("assistant", response)
|
|
agent.sessions.save(target_session)
|
|
|
|
await bus.publish_outbound(OutboundMessage(channel=channel, chat_id=chat_id, content=response))
|
|
|
|
hb_cfg = config.gateway.heartbeat
|
|
heartbeat = HeartbeatService(
|
|
workspace=config.workspace_path,
|
|
provider=provider,
|
|
model=agent.model,
|
|
on_execute=on_heartbeat_execute,
|
|
on_notify=on_heartbeat_notify,
|
|
interval_s=hb_cfg.interval_s,
|
|
enabled=hb_cfg.enabled,
|
|
timezone=config.agents.defaults.timezone,
|
|
)
|
|
|
|
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 {hb_cfg.interval_s}s")
|
|
|
|
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 (always-on, idempotent on restart)
|
|
dream_cfg = config.agents.defaults.dream
|
|
if dream_cfg.model_override:
|
|
agent.dream.model = dream_cfg.model_override
|
|
agent.dream.max_batch_size = dream_cfg.max_batch_size
|
|
agent.dream.max_iterations = dream_cfg.max_iterations
|
|
agent.dream.annotate_line_ages = dream_cfg.annotate_line_ages
|
|
from nanobot.cron.types import CronJob, CronPayload
|
|
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()}")
|
|
|
|
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
|
|
# 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(
|
|
config.gateway.host or "127.0.0.1", port
|
|
)
|
|
writer.close()
|
|
try:
|
|
await writer.wait_closed()
|
|
except Exception:
|
|
pass
|
|
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():
|
|
try:
|
|
await cron.start()
|
|
await heartbeat.start()
|
|
tasks = [
|
|
agent.run(),
|
|
channels.start_all(),
|
|
_health_server(config.gateway.host, port),
|
|
]
|
|
if open_browser_url:
|
|
tasks.append(_open_browser_when_ready())
|
|
await asyncio.gather(*tasks)
|
|
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:
|
|
await agent.close_mcp()
|
|
heartbeat.stop()
|
|
cron.stop()
|
|
agent.stop()
|
|
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)
|
|
|
|
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"),
|
|
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 loguru import logger
|
|
|
|
from nanobot.agent.loop import AgentLoop
|
|
from nanobot.bus.queue import MessageBus
|
|
from nanobot.cron.service import CronService
|
|
|
|
config = _load_runtime_config(config, workspace)
|
|
sync_workspace_templates(config.workspace_path)
|
|
|
|
bus = MessageBus()
|
|
provider = _make_provider(config)
|
|
|
|
# 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)
|
|
|
|
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,
|
|
max_iterations=config.agents.defaults.max_tool_iterations,
|
|
context_window_tokens=config.agents.defaults.context_window_tokens,
|
|
web_config=config.tools.web,
|
|
context_block_limit=config.agents.defaults.context_block_limit,
|
|
max_tool_result_chars=config.agents.defaults.max_tool_result_chars,
|
|
provider_retry_mode=config.agents.defaults.provider_retry_mode,
|
|
exec_config=config.tools.exec,
|
|
cron_service=cron,
|
|
restrict_to_workspace=config.tools.restrict_to_workspace,
|
|
mcp_servers=config.tools.mcp_servers,
|
|
channels_config=config.channels,
|
|
timezone=config.agents.defaults.timezone,
|
|
unified_session=config.agents.defaults.unified_session,
|
|
disabled_skills=config.agents.defaults.disabled_skills,
|
|
session_ttl_minutes=config.agents.defaults.session_ttl_minutes,
|
|
tools_config=config.tools,
|
|
)
|
|
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
|
|
|
|
async def _cli_progress(content: str, *, tool_hint: bool = False, **_kwargs: Any) -> None:
|
|
ch = agent_loop.channels_config
|
|
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)
|
|
|
|
if message:
|
|
# Single message mode — direct call, no bus needed
|
|
async def run_once():
|
|
renderer = StreamRenderer(render_markdown=markdown)
|
|
response = await agent_loop.process_direct(
|
|
message, session_id,
|
|
on_progress=_cli_progress,
|
|
on_stream=renderer.on_delta,
|
|
on_stream_end=renderer.on_end,
|
|
)
|
|
if not renderer.streamed:
|
|
await renderer.close()
|
|
_print_agent_response(
|
|
response.content if response else "",
|
|
render_markdown=markdown,
|
|
metadata=response.metadata if response else None,
|
|
)
|
|
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()
|
|
console.print(f"{__logo__} Interactive mode [bold blue]({config.agents.defaults.model})[/bold blue] — 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[tuple[str, dict]] = []
|
|
renderer: StreamRenderer | None = None
|
|
|
|
async def _consume_outbound():
|
|
while True:
|
|
try:
|
|
msg = await asyncio.wait_for(bus.consume_outbound(), timeout=1.0)
|
|
|
|
if msg.metadata.get("_stream_delta"):
|
|
if renderer:
|
|
await renderer.on_delta(msg.content)
|
|
continue
|
|
if msg.metadata.get("_stream_end"):
|
|
if renderer:
|
|
await renderer.on_end(
|
|
resuming=msg.metadata.get("_resuming", False),
|
|
)
|
|
continue
|
|
if msg.metadata.get("_streamed"):
|
|
turn_done.set()
|
|
continue
|
|
|
|
if msg.metadata.get("_progress"):
|
|
is_tool_hint = msg.metadata.get("_tool_hint", False)
|
|
ch = agent_loop.channels_config
|
|
if ch and is_tool_hint and not ch.send_tool_hints:
|
|
pass
|
|
elif ch and not is_tool_hint and not ch.send_progress:
|
|
pass
|
|
else:
|
|
await _print_interactive_progress_line(msg.content, _thinking)
|
|
continue
|
|
|
|
if not turn_done.is_set():
|
|
if msg.content:
|
|
turn_response.append((msg.content, dict(msg.metadata or {})))
|
|
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 = 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()
|
|
renderer = StreamRenderer(render_markdown=markdown)
|
|
|
|
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:
|
|
content, meta = turn_response[0]
|
|
if content and not meta.get("_streamed"):
|
|
if renderer:
|
|
await renderer.close()
|
|
_print_agent_response(
|
|
content, render_markdown=markdown, metadata=meta,
|
|
)
|
|
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_path: str | None = typer.Option(None, "--config", "-c", help="Path to config file"),
|
|
):
|
|
"""Show channel status."""
|
|
from nanobot.channels.registry import discover_all
|
|
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)
|
|
|
|
config = load_config(resolved_config_path)
|
|
|
|
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(config.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)
|
|
|
|
|
|
def _get_bridge_dir() -> Path:
|
|
"""Get the bridge directory, setting it up if needed."""
|
|
import shutil
|
|
import subprocess
|
|
|
|
# User's bridge location
|
|
from nanobot.config.paths import get_bridge_install_dir
|
|
|
|
user_bridge = get_bridge_install_dir()
|
|
|
|
# Check if already built
|
|
if (user_bridge / "dist" / "index.js").exists():
|
|
return user_bridge
|
|
|
|
# Check for npm
|
|
npm_path = shutil.which("npm")
|
|
if not npm_path:
|
|
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_path, "install"], cwd=user_bridge, check=True, capture_output=True)
|
|
|
|
console.print(" Building...")
|
|
subprocess.run([npm_path, "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(
|
|
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_path: 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
|
|
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)
|
|
|
|
config = load_config(resolved_config_path)
|
|
channel_cfg = getattr(config.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 channel plugins")
|
|
app.add_typer(plugins_app, name="plugins")
|
|
|
|
|
|
@plugins_app.command("list")
|
|
def plugins_list():
|
|
"""List all discovered channels (built-in and plugins)."""
|
|
from nanobot.channels.registry import discover_all, discover_channel_names
|
|
from nanobot.config.loader import load_config
|
|
|
|
config = load_config()
|
|
builtin_names = set(discover_channel_names())
|
|
all_channels = discover_all()
|
|
|
|
table = Table(title="Channel Plugins")
|
|
table.add_column("Name", style="cyan")
|
|
table.add_column("Source", style="magenta")
|
|
table.add_column("Enabled")
|
|
|
|
for name in sorted(all_channels):
|
|
cls = all_channels[name]
|
|
source = "builtin" if name in builtin_names else "plugin"
|
|
section = getattr(config.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,
|
|
source,
|
|
"[green]yes[/green]" if enabled else "[dim]no[/dim]",
|
|
)
|
|
|
|
console.print(table)
|
|
|
|
|
|
# ============================================================================
|
|
# Status Commands
|
|
# ============================================================================
|
|
|
|
|
|
@app.command()
|
|
def status():
|
|
"""Show nanobot status."""
|
|
from nanobot.config.loader import get_config_path, load_config
|
|
|
|
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:
|
|
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()
|