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Merge branch 'main' into pr-644

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Re-bin
2026-02-20 08:08:55 +00:00
parent 40f4834f30 a79e56a44d
commit a9bffdc06f
44 changed files with 1555 additions and 470 deletions
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93
nanobot/agent/loop.py
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@@ -5,7 +5,8 @@ from contextlib import AsyncExitStack
import json
import json_repair
from pathlib import Path
from typing import Any
import re
from typing import Any, Awaitable, Callable
from loguru import logger
@@ -92,12 +93,12 @@ class AgentLoop:
def _register_default_tools(self) -> None:
"""Register the default set of tools."""
# File tools (restrict to workspace if configured)
# File tools (workspace for relative paths, restrict if configured)
allowed_dir = self.workspace if self.restrict_to_workspace else None
self.tools.register(ReadFileTool(allowed_dir=allowed_dir))
self.tools.register(WriteFileTool(allowed_dir=allowed_dir))
self.tools.register(EditFileTool(allowed_dir=allowed_dir))
self.tools.register(ListDirTool(allowed_dir=allowed_dir))
self.tools.register(ReadFileTool(workspace=self.workspace, allowed_dir=allowed_dir))
self.tools.register(WriteFileTool(workspace=self.workspace, allowed_dir=allowed_dir))
self.tools.register(EditFileTool(workspace=self.workspace, allowed_dir=allowed_dir))
self.tools.register(ListDirTool(workspace=self.workspace, allowed_dir=allowed_dir))
# Shell tool
self.tools.register(ExecTool(
@@ -146,12 +147,34 @@ class AgentLoop:
if isinstance(cron_tool, CronTool):
cron_tool.set_context(channel, chat_id)
async def _run_agent_loop(self, initial_messages: list[dict]) -> tuple[str | None, list[str]]:
@staticmethod
def _strip_think(text: str | None) -> str | None:
"""Remove <think>…</think> blocks that some models embed in content."""
if not text:
return None
return re.sub(r"<think>[\s\S]*?</think>", "", text).strip() or None
@staticmethod
def _tool_hint(tool_calls: list) -> str:
"""Format tool calls as concise hint, e.g. 'web_search("query")'."""
def _fmt(tc):
val = next(iter(tc.arguments.values()), None) if tc.arguments else None
if not isinstance(val, str):
return tc.name
return f'{tc.name}("{val[:40]}…")' if len(val) > 40 else f'{tc.name}("{val}")'
return ", ".join(_fmt(tc) for tc in tool_calls)
async def _run_agent_loop(
self,
initial_messages: list[dict],
on_progress: Callable[[str], Awaitable[None]] | None = None,
) -> tuple[str | None, list[str]]:
"""
Run the agent iteration loop.
Args:
initial_messages: Starting messages for the LLM conversation.
on_progress: Optional callback to push intermediate content to the user.
Returns:
Tuple of (final_content, list_of_tools_used).
@@ -173,13 +196,17 @@ class AgentLoop:
)
if response.has_tool_calls:
if on_progress:
clean = self._strip_think(response.content)
await on_progress(clean or self._tool_hint(response.tool_calls))
tool_call_dicts = [
{
"id": tc.id,
"type": "function",
"function": {
"name": tc.name,
"arguments": json.dumps(tc.arguments)
"arguments": json.dumps(tc.arguments, ensure_ascii=False)
}
}
for tc in response.tool_calls
@@ -192,14 +219,13 @@ class AgentLoop:
for tool_call in response.tool_calls:
tools_used.append(tool_call.name)
args_str = json.dumps(tool_call.arguments, ensure_ascii=False)
logger.info(f"Tool call: {tool_call.name}({args_str[:200]})")
logger.info("Tool call: {}({})", tool_call.name, args_str[:200])
result = await self.tools.execute(tool_call.name, tool_call.arguments)
messages = self.context.add_tool_result(
messages, tool_call.id, tool_call.name, result
)
messages.append({"role": "user", "content": "Reflect on the results and decide next steps."})
else:
final_content = response.content
final_content = self._strip_think(response.content)
break
return final_content, tools_used
@@ -221,7 +247,7 @@ class AgentLoop:
if response:
await self.bus.publish_outbound(response)
except Exception as e:
logger.error(f"Error processing message: {e}")
logger.error("Error processing message: {}", e)
await self.bus.publish_outbound(OutboundMessage(
channel=msg.channel,
chat_id=msg.chat_id,
@@ -244,13 +270,19 @@ class AgentLoop:
self._running = False
logger.info("Agent loop stopping")
async def _process_message(self, msg: InboundMessage, session_key: str | None = None) -> OutboundMessage | None:
async def _process_message(
self,
msg: InboundMessage,
session_key: str | None = None,
on_progress: Callable[[str], Awaitable[None]] | None = None,
) -> OutboundMessage | None:
"""
Process a single inbound message.
Args:
msg: The inbound message to process.
session_key: Override session key (used by process_direct).
on_progress: Optional callback for intermediate output (defaults to bus publish).
Returns:
The response message, or None if no response needed.
@@ -260,7 +292,7 @@ class AgentLoop:
return await self._process_system_message(msg)
preview = msg.content[:80] + "..." if len(msg.content) > 80 else msg.content
logger.info(f"Processing message from {msg.channel}:{msg.sender_id}: {preview}")
logger.info("Processing message from {}:{}: {}", msg.channel, msg.sender_id, preview)
key = session_key or msg.session_key
session = self.sessions.get_or_create(key)
@@ -297,13 +329,22 @@ class AgentLoop:
channel=msg.channel,
chat_id=msg.chat_id,
)
final_content, tools_used = await self._run_agent_loop(initial_messages)
async def _bus_progress(content: str) -> None:
await self.bus.publish_outbound(OutboundMessage(
channel=msg.channel, chat_id=msg.chat_id, content=content,
metadata=msg.metadata or {},
))
final_content, tools_used = await self._run_agent_loop(
initial_messages, on_progress=on_progress or _bus_progress,
)
if final_content is None:
final_content = "I've completed processing but have no response to give."
preview = final_content[:120] + "..." if len(final_content) > 120 else final_content
logger.info(f"Response to {msg.channel}:{msg.sender_id}: {preview}")
logger.info("Response to {}:{}: {}", msg.channel, msg.sender_id, preview)
session.add_message("user", msg.content)
session.add_message("assistant", final_content,
@@ -324,7 +365,7 @@ class AgentLoop:
The chat_id field contains "original_channel:original_chat_id" to route
the response back to the correct destination.
"""
logger.info(f"Processing system message from {msg.sender_id}")
logger.info("Processing system message from {}", msg.sender_id)
# Parse origin from chat_id (format: "channel:chat_id")
if ":" in msg.chat_id:
@@ -372,22 +413,22 @@ class AgentLoop:
if archive_all:
old_messages = session.messages
keep_count = 0
logger.info(f"Memory consolidation (archive_all): {len(session.messages)} total messages archived")
logger.info("Memory consolidation (archive_all): {} total messages archived", len(session.messages))
else:
keep_count = self.memory_window // 2
if len(session.messages) <= keep_count:
logger.debug(f"Session {session.key}: No consolidation needed (messages={len(session.messages)}, keep={keep_count})")
logger.debug("Session {}: No consolidation needed (messages={}, keep={})", session.key, len(session.messages), keep_count)
return
messages_to_process = len(session.messages) - session.last_consolidated
if messages_to_process <= 0:
logger.debug(f"Session {session.key}: No new messages to consolidate (last_consolidated={session.last_consolidated}, total={len(session.messages)})")
logger.debug("Session {}: No new messages to consolidate (last_consolidated={}, total={})", session.key, session.last_consolidated, len(session.messages))
return
old_messages = session.messages[session.last_consolidated:-keep_count]
if not old_messages:
return
logger.info(f"Memory consolidation started: {len(session.messages)} total, {len(old_messages)} new to consolidate, {keep_count} keep")
logger.info("Memory consolidation started: {} total, {} new to consolidate, {} keep", len(session.messages), len(old_messages), keep_count)
lines = []
for m in old_messages:
@@ -436,7 +477,7 @@ Respond with ONLY valid JSON, no markdown fences."""
text = text.split("\n", 1)[-1].rsplit("```", 1)[0].strip()
result = json_repair.loads(text)
if not isinstance(result, dict):
logger.warning(f"Memory consolidation: unexpected response type, skipping. Response: {text[:200]}")
logger.warning("Memory consolidation: unexpected response type, skipping. Response: {}", text[:200])
return
if entry := result.get("history_entry"):
@@ -455,9 +496,9 @@ Respond with ONLY valid JSON, no markdown fences."""
session.last_consolidated = 0
else:
session.last_consolidated = len(session.messages) - keep_count
logger.info(f"Memory consolidation done: {len(session.messages)} messages, last_consolidated={session.last_consolidated}")
logger.info("Memory consolidation done: {} messages, last_consolidated={}", len(session.messages), session.last_consolidated)
except Exception as e:
logger.error(f"Memory consolidation failed: {e}")
logger.error("Memory consolidation failed: {}", e)
async def process_direct(
self,
@@ -465,6 +506,7 @@ Respond with ONLY valid JSON, no markdown fences."""
session_key: str = "cli:direct",
channel: str = "cli",
chat_id: str = "direct",
on_progress: Callable[[str], Awaitable[None]] | None = None,
) -> str:
"""
Process a message directly (for CLI or cron usage).
@@ -474,6 +516,7 @@ Respond with ONLY valid JSON, no markdown fences."""
session_key: Session identifier (overrides channel:chat_id for session lookup).
channel: Source channel (for tool context routing).
chat_id: Source chat ID (for tool context routing).
on_progress: Optional callback for intermediate output.
Returns:
The agent's response.
@@ -486,5 +529,5 @@ Respond with ONLY valid JSON, no markdown fences."""
content=content
)
response = await self._process_message(msg, session_key=session_key)
response = await self._process_message(msg, session_key=session_key, on_progress=on_progress)
return response.content if response else ""