Merge origin/main into feat/show-reasoning

Resolves conflicts after main landed the state-machine turn refactor
and the test_runner.py 9-file split:

- nanobot/agent/loop.py: take main's `_state_build`/`_persist_user_message_early`
  flow; restore the `reasoning: bool` parameter on `_build_bus_progress_callback`
  so the loop hook can mark progress as reasoning-channel without coupling to
  the answer stream.
- nanobot/cli/stream.py: keep main's configurable `bot_name`/`bot_icon` header
  while preserving the PR's `transient=True` Live + `self._console` routing
  + `_renderable()` final-render path that fixed TUI duplication.
- tests/agent/test_runner.py was deleted on main and split into 9 focused
  files; relocated all 6 reasoning tests into a new `test_runner_reasoning.py`
  matching the new layout, deduplicated the per-test `ReasoningHook` boilerplate
  through a shared `_RecordingHook` helper.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
Xubin Ren
2026-05-13 05:07:14 +00:00
co-authored by Cursor
127 changed files with 10113 additions and 5313 deletions
+54 -185
View File
@@ -48,6 +48,7 @@ from rich.table import Table
from rich.text import Text
from nanobot import __logo__, __version__
from nanobot.agent.loop import AgentLoop
def _sanitize_surrogates(text: str) -> str:
@@ -470,18 +471,12 @@ def _onboard_plugins(config_path: Path) -> None:
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.factory import make_provider
try:
return make_provider(config)
except ValueError as exc:
console.print(f"[red]Error: {exc}[/red]")
raise typer.Exit(1) from exc
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:
@@ -562,7 +557,6 @@ def serve(
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
@@ -579,42 +573,24 @@ def serve(
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,
tool_hint_max_length=runtime_config.agents.defaults.tool_hint_max_length,
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,
consolidation_ratio=runtime_config.agents.defaults.consolidation_ratio,
max_messages=runtime_config.agents.defaults.max_messages,
tools_config=runtime_config.tools,
image_generation_provider_configs={
"openrouter": runtime_config.providers.openrouter,
"aihubmix": runtime_config.providers.aihubmix,
},
)
try:
agent_loop = AgentLoop.from_config(
runtime_config, bus,
session_manager=session_manager,
image_generation_provider_configs={
"openrouter": runtime_config.providers.openrouter,
"aihubmix": runtime_config.providers.aihubmix,
},
)
except ValueError as exc:
console.print(f"[red]Error: {exc}[/red]")
raise typer.Exit(1) from exc
model_name = runtime_config.agents.defaults.model
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}")
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", "::"}:
@@ -676,11 +652,11 @@ def _run_gateway(
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.agent.tools.cron import CronTool
from nanobot.agent.tools.message import MessageTool
from nanobot.bus.queue import MessageBus
from nanobot.channels.manager import ChannelManager
from nanobot.channels.websocket import publish_runtime_model_update
from nanobot.cron.service import CronService
from nanobot.cron.types import CronJob
from nanobot.heartbeat.service import HeartbeatService
@@ -697,7 +673,6 @@ def _run_gateway(
except ValueError as exc:
console.print(f"[red]Error: {exc}[/red]")
raise typer.Exit(1) from exc
provider = provider_snapshot.provider
session_manager = SessionManager(config.workspace_path)
# Preserve existing single-workspace installs, but keep custom workspaces clean.
@@ -709,36 +684,23 @@ def _run_gateway(
cron = CronService(cron_store_path)
# Create agent with cron service
agent = AgentLoop(
bus=bus,
provider=provider,
workspace=config.workspace_path,
agent = AgentLoop.from_config(
config, bus,
provider=provider_snapshot.provider,
model=provider_snapshot.model,
max_iterations=config.agents.defaults.max_tool_iterations,
context_window_tokens=provider_snapshot.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,
tool_hint_max_length=config.agents.defaults.tool_hint_max_length,
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,
consolidation_ratio=config.agents.defaults.consolidation_ratio,
max_messages=config.agents.defaults.max_messages,
tools_config=config.tools,
image_generation_provider_configs={
"openrouter": config.providers.openrouter,
"aihubmix": config.providers.aihubmix,
},
provider_snapshot_loader=load_provider_snapshot,
runtime_model_publisher=lambda model, preset: publish_runtime_model_update(
bus,
model,
preset,
),
provider_signature=provider_snapshot.signature,
)
@@ -843,7 +805,7 @@ def _run_gateway(
if job.payload.deliver and job.payload.to and response:
should_notify = await evaluate_response(
response, reminder_note, provider, agent.model,
response, reminder_note, agent.provider, agent.model,
)
if should_notify:
await _deliver_to_channel(
@@ -933,7 +895,7 @@ def _run_gateway(
hb_cfg = config.gateway.heartbeat
heartbeat = HeartbeatService(
workspace=config.workspace_path,
provider=provider,
provider=agent.provider,
model=agent.model,
on_execute=on_heartbeat_execute,
on_notify=on_heartbeat_notify,
@@ -1086,7 +1048,6 @@ def agent(
"""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
@@ -1094,7 +1055,6 @@ def agent(
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):
@@ -1109,31 +1069,14 @@ def agent(
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,
tool_hint_max_length=config.agents.defaults.tool_hint_max_length,
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,
consolidation_ratio=config.agents.defaults.consolidation_ratio,
max_messages=config.agents.defaults.max_messages,
tools_config=config.tools,
)
try:
agent_loop = AgentLoop.from_config(
config, bus,
cron_service=cron,
)
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(
@@ -1162,7 +1105,11 @@ def agent(
if message:
# Single message mode — direct call, no bus needed
async def run_once():
renderer = StreamRenderer(render_markdown=markdown)
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),
@@ -1183,7 +1130,8 @@ def agent(
# 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")
_model, _preset_tag = _model_display(config)
console.print(f"{__logo__} 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)
@@ -1277,7 +1225,11 @@ def agent(
turn_done.clear()
turn_response.clear()
renderer = StreamRenderer(render_markdown=markdown)
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,
@@ -1359,90 +1311,6 @@ def channels_status(
console.print(table)
def _get_bridge_dir() -> Path:
"""Get the bridge directory, setting it up if needed."""
import hashlib
import shutil
import subprocess
# User's bridge location
from nanobot.config.paths import get_bridge_install_dir
user_bridge = get_bridge_install_dir()
stamp_file = user_bridge / ".nanobot-bridge-source-hash"
# 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)
def source_hash(root: Path) -> str:
digest = hashlib.sha256()
for path in sorted(root.rglob("*")):
if not path.is_file():
continue
rel = path.relative_to(root)
if rel.parts and rel.parts[0] in {"node_modules", "dist"}:
continue
digest.update(rel.as_posix().encode("utf-8"))
digest.update(b"\0")
digest.update(path.read_bytes())
digest.update(b"\0")
return digest.hexdigest()
expected_hash = source_hash(source)
current_hash = stamp_file.read_text().strip() if stamp_file.exists() else None
# Reuse only a bridge built from the currently installed source.
if (user_bridge / "dist" / "index.js").exists() and current_hash == expected_hash:
return user_bridge
if (user_bridge / "dist" / "index.js").exists() and current_hash != expected_hash:
console.print(f"{__logo__} WhatsApp bridge source changed; rebuilding 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)
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)
stamp_file.write_text(expected_hash + "\n")
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)"),
@@ -1542,7 +1410,8 @@ def status():
if config_path.exists():
from nanobot.providers.registry import PROVIDERS
console.print(f"Model: {config.agents.defaults.model}")
_model, _preset_tag = _model_display(config)
console.print(f"Model: {_model}{_preset_tag}")
# Check API keys from registry
for spec in PROVIDERS:
+15 -8
View File
@@ -16,8 +16,6 @@ from rich.live import Live
from rich.markdown import Markdown
from rich.text import Text
from nanobot import __logo__
def _make_console() -> Console:
"""Create a Console that emits plain text when stdout is not a TTY.
@@ -34,11 +32,11 @@ def _make_console() -> Console:
class ThinkingSpinner:
"""Spinner that shows 'nanobot is thinking...' with pause support."""
"""Spinner that shows '<bot_name> is thinking...' with pause support."""
def __init__(self, console: Console | None = None):
def __init__(self, console: Console | None = None, bot_name: str = "nanobot"):
c = console or _make_console()
self._spinner = c.status("[dim]nanobot is thinking...[/dim]", spinner="dots")
self._spinner = c.status(f"[dim]{bot_name} is thinking...[/dim]", spinner="dots")
self._active = False
def __enter__(self):
@@ -79,9 +77,17 @@ class StreamRenderer:
on_end -> stop Live + final render
"""
def __init__(self, render_markdown: bool = True, show_spinner: bool = True):
def __init__(
self,
render_markdown: bool = True,
show_spinner: bool = True,
bot_name: str = "nanobot",
bot_icon: str = "🐈",
):
self._md = render_markdown
self._show_spinner = show_spinner
self._bot_name = bot_name
self._bot_icon = bot_icon
self._buf = ""
self.streamed = False
self._console = _make_console()
@@ -103,7 +109,7 @@ class StreamRenderer:
def _start_spinner(self) -> None:
if self._show_spinner:
self._spinner = ThinkingSpinner()
self._spinner = ThinkingSpinner(bot_name=self._bot_name)
self._spinner.__enter__()
def _stop_spinner(self) -> None:
@@ -131,7 +137,8 @@ class StreamRenderer:
return
self._stop_spinner()
self._console.print()
self._console.print(f"[cyan]{__logo__} nanobot[/cyan]")
header = f"{self._bot_icon} {self._bot_name}" if self._bot_icon else self._bot_name
self._console.print(f"[cyan]{header}[/cyan]")
self._live = Live(
self._renderable(),
console=self._console,