mirror of
https://github.com/langbot-app/LangBot.git
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74 lines
2.1 KiB
Python
74 lines
2.1 KiB
Python
from __future__ import annotations
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from typing import Any
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from langbot_plugin.api.definition.components.tool.tool import Tool
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from langbot_plugin.api.entities.builtin.provider import session as provider_session
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class SummarizeGroupChat(Tool):
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"""LLM tool for summarizing group chat messages.
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The LLM can call this tool when a user asks for a chat summary.
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"""
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async def call(
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self,
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params: dict[str, Any],
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session: provider_session.Session,
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query_id: int,
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) -> str:
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"""Generate a group chat summary.
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Args:
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params: {
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"count": (optional) Number of messages to summarize,
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"hours": (optional) Summarize messages from last N hours
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}
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session: Current session
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query_id: Query ID
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Returns:
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Summary text
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"""
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if session.launcher_type.value != "group":
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return "This tool can only be used in group chats."
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count = params.get("count")
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hours = params.get("hours")
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if count is not None:
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try:
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count = int(count)
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if count <= 0:
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return "Message count must be positive."
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if count > 1000:
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count = 1000
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except (ValueError, TypeError):
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return "Invalid count parameter."
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if hours is not None:
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try:
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hours = float(hours)
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if hours <= 0:
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return "Hours must be positive."
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except (ValueError, TypeError):
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return "Invalid hours parameter."
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await self.plugin.ensure_loaded()
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msg_count = self.plugin.get_message_count(
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session.launcher_type.value, session.launcher_id
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)
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if msg_count == 0:
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return self.plugin._get_no_messages_text()
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summary = await self.plugin.generate_summary(
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launcher_type=session.launcher_type.value,
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launcher_id=session.launcher_id,
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count=count,
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hours=hours,
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)
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return summary
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