Files
nanobot/nanobot/cli/agent.py
T

445 lines
18 KiB
Python

"""Direct and interactive agent CLI command."""
import asyncio
import importlib
import signal
import sys
from collections.abc import Awaitable, Callable
from types import FrameType
from typing import Any
import typer
from rich.console import Console
from nanobot import __logo__
from nanobot.cli.log_control import _set_nanobot_logs
from nanobot.cli.runtime_config import (
_load_runtime_config,
_migrate_cron_store,
_model_display,
_print_agent_start_error,
)
console = Console()
_CLASSIC_DEPENDENCIES = {
"AgentLoop": ("nanobot.agent.loop", "AgentLoop"),
"StreamRenderer": ("nanobot.cli.stream", "StreamRenderer"),
"consume_restart_notice_from_env": (
"nanobot.utils.restart",
"consume_restart_notice_from_env",
),
"is_default_workspace": ("nanobot.config.paths", "is_default_workspace"),
"sync_workspace_templates": ("nanobot.utils.helpers", "sync_workspace_templates"),
}
def __getattr__(name: str) -> Any:
"""Preserve patchable classic-agent symbols without loading them for the TUI."""
dependency = _CLASSIC_DEPENDENCIES.get(name)
if dependency is None:
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
module_name, attribute = dependency
value = getattr(importlib.import_module(module_name), attribute)
globals()[name] = value
return value
def _classic_dependency(name: str) -> Any:
if name in globals():
return globals()[name]
return __getattr__(name)
def agent(
message: str | None = typer.Option(None, "--message", "-m", help="Message to send to the agent"),
session_id: str | None = typer.Option(None, "--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="Path to config file"),
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",
),
classic: bool = typer.Option(
False,
"--classic",
"--no-tui",
help="Use the classic Python prompt instead of the native terminal UI",
),
theme: str = typer.Option(
"auto",
"--theme",
help="Terminal UI appearance: auto, dark, or light",
),
):
"""Chat in the terminal or send one message non-interactively."""
runtime_config = _load_runtime_config(config, workspace)
theme = theme.strip().lower()
if theme not in {"auto", "dark", "light"}:
raise typer.BadParameter("must be auto, dark, or light", param_hint="--theme")
native_tui = message is None and not classic
if native_tui:
from nanobot.cli.tui_launcher import TuiSessionError, TuiUnavailableError, launch_tui
from nanobot.config.loader import get_config_path
if not sys.stdin.isatty() or not sys.stdout.isatty():
raise typer.BadParameter(
"the native TUI requires an interactive terminal; use --message for "
"one-shot input or --classic for the legacy prompt",
param_hint="terminal",
)
if not markdown:
raise typer.BadParameter("--no-markdown requires --classic", param_hint="--no-markdown")
if logs:
raise typer.BadParameter("--logs requires --classic", param_hint="--logs")
try:
exit_code = launch_tui(
runtime_config,
config_path=get_config_path().resolve(strict=False),
workspace_override=workspace,
session_id=session_id,
theme=theme,
)
except TuiSessionError as exc:
raise typer.BadParameter(str(exc), param_hint="--session") from exc
except TuiUnavailableError as exc:
console.print(f"[red]Native TUI unavailable: {exc}[/red]")
console.print("[dim]Use `nanobot agent --classic` only if you want the old prompt.[/dim]")
raise typer.Exit(1) from exc
else:
if exit_code:
raise typer.Exit(exit_code)
return
from nanobot.agent.hooks import create_file_edit_activity_hook
from nanobot.agent.tools.mcp import MCPProvider
from nanobot.agent.tools.registry import ToolRegistry
from nanobot.bus.outbound_events import (
StreamDeltaEvent,
StreamedResponseEvent,
StreamEndEvent,
outbound_event_from_message,
)
from nanobot.bus.queue import MessageBus
from nanobot.cli import terminal as cli_terminal
from nanobot.cli.stream import ThinkingSpinner
from nanobot.cron.service import CronService
from nanobot.providers.factory import make_provider
from nanobot.providers.image_generation import image_gen_provider_configs
from nanobot.utils.helpers import sanitize_surrogates as _sanitize_surrogates
from nanobot.utils.restart import (
format_restart_completed_message,
should_show_cli_restart_notice,
)
agent_loop_class = _classic_dependency("AgentLoop")
stream_renderer_class = _classic_dependency("StreamRenderer")
consume_restart_notice_from_env = _classic_dependency("consume_restart_notice_from_env")
is_default_workspace = _classic_dependency("is_default_workspace")
sync_workspace_templates = _classic_dependency("sync_workspace_templates")
session_id = session_id or "cli:direct"
try:
provider = make_provider(runtime_config)
except ValueError as exc:
_print_agent_start_error(exc)
raise typer.Exit(1) from exc
sync_workspace_templates(runtime_config.workspace_path)
bus = MessageBus()
# Preserve existing single-workspace installs, but keep custom workspaces clean.
if is_default_workspace(runtime_config.workspace_path):
_migrate_cron_store(runtime_config)
# Create cron service with workspace-scoped store
cron_store_path = runtime_config.workspace_path / "cron" / "jobs.json"
cron = CronService(cron_store_path)
tools = ToolRegistry()
mcp_provider = MCPProvider.from_config(runtime_config, tools)
_set_nanobot_logs(logs)
try:
agent_loop = agent_loop_class.from_config(
runtime_config,
bus,
provider=provider,
cron_service=cron,
image_generation_provider_configs=image_gen_provider_configs(runtime_config),
hook_factories=[create_file_edit_activity_hook],
tool_registry=tools,
)
except ValueError as exc:
_print_agent_start_error(exc)
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):
cli_terminal._print_agent_response(
format_restart_completed_message(restart_notice.started_at_raw),
render_markdown=False,
)
async def _close_runtime() -> None:
try:
await agent_loop.aclose()
finally:
await mcp_provider.aclose()
# Shared reference for progress callbacks
_thinking: ThinkingSpinner | None = None
def _make_progress(
renderer: Any | None = None,
) -> Callable[..., Awaitable[None]]:
reasoning_buffer = cli_terminal._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:
cli_terminal._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:
cli_terminal._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
cli_terminal._print_cli_progress_line(content, _thinking, renderer)
return _cli_progress
if message is not None:
# Single message mode — direct call, no bus needed
async def run_once() -> None:
try:
await mcp_provider.connect()
renderer = stream_renderer_class(
render_markdown=markdown,
bot_name=runtime_config.agents.defaults.bot_name,
bot_icon=runtime_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
cli_terminal._print_agent_response(
response.content if response else "",
render_markdown=markdown,
metadata=response.metadata if response else None,
**print_kwargs,
)
finally:
await _close_runtime()
asyncio.run(run_once())
else:
# Interactive mode — route through bus like other channels
from nanobot.bus.events import InboundMessage
cli_terminal._init_prompt_session()
_model, _preset_tag = _model_display(runtime_config)
_icon = runtime_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: int, _frame: FrameType | None) -> None:
sig_name = signal.Signals(signum).name
cli_terminal._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() -> None:
await mcp_provider.connect()
bus_task = asyncio.create_task(agent_loop.run())
turn_done = asyncio.Event()
turn_done.set()
turn_response: list[Any] = []
renderer: Any | None = None
reasoning_buffer = cli_terminal._ReasoningBuffer()
async def _consume_outbound() -> None:
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
cli_terminal._print_agent_response(
msg.content,
render_markdown=markdown,
metadata=msg.metadata,
**print_kwargs,
)
turn_done.set()
continue
if await cli_terminal._maybe_print_interactive_progress(
msg,
None,
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 cli_terminal._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:
cli_terminal._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 cli_terminal._read_interactive_input_async()
)
command = user_input.strip()
if not command:
continue
if cli_terminal._is_exit_command(command):
cli_terminal._restore_terminal()
console.print("\nGoodbye!")
break
turn_done.clear()
turn_response.clear()
reasoning_buffer.clear()
renderer = stream_renderer_class(
render_markdown=markdown,
bot_name=runtime_config.agents.defaults.bot_name,
bot_icon=runtime_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
cli_terminal._print_agent_response(
content,
render_markdown=markdown,
metadata=meta,
**print_kwargs,
)
elif renderer and not renderer.streamed:
await renderer.close()
except KeyboardInterrupt:
cli_terminal._restore_terminal()
console.print("\nGoodbye!")
break
except EOFError:
cli_terminal._restore_terminal()
console.print("\nGoodbye!")
break
finally:
agent_loop.stop()
outbound_task.cancel()
await asyncio.gather(bus_task, outbound_task, return_exceptions=True)
await _close_runtime()
asyncio.run(run_interactive())