colcaroliandClaude Sonnet 4.6
4a08ba29fa
- Add CPU/GPU memory monitoring endpoint and frontend widget - Add Amazon Bedrock model support (API key / inference profiles) plus model selector entries - Add Discord weather/laundry notification job (JMA forecast + LLM-generated message) - Add Discord bot that replies to mentions via the configured LLM, with weather-aware context - Add scheduled "useless tips" job with separate webhook and quiet-hours skip - Switch FastAPI startup to lifespan handler, log viewer, markdown rendering, and toast UI additions Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
45 lines
1.9 KiB
Python
45 lines
1.9 KiB
Python
from sqlalchemy.orm import Session as DBSession
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from app.db.models import Memory, Message, Session
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from app.core.config import MEMORY_SUMMARIZE_THRESHOLD
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from app.core import llm
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def get_context_messages(db: DBSession, session_id: str) -> list[dict]:
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"""短期メモリ（最近のメッセージ）と長期メモリ（要約）を結合してコンテキストを返す。"""
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memories = db.query(Memory).filter(Memory.session_id == session_id).order_by(Memory.created_at).all()
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messages = db.query(Message).filter(Message.session_id == session_id).order_by(Message.created_at).all()
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context: list[dict] = []
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if memories:
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combined_summary = "\n\n".join(m.summary for m in memories)
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context.append({
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"role": "system",
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"content": f"以下はこの会話の過去の要約です:\n\n{combined_summary}",
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})
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context.extend({"role": m.role, "content": m.content} for m in messages)
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return context
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async def maybe_summarize(db: DBSession, session: Session) -> None:
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"""メッセージ数が閾値を超えたら古いメッセージを要約してMemoryに保存し、元メッセージを削除する。"""
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messages = db.query(Message).filter(Message.session_id == session.id).order_by(Message.created_at).all()
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if len(messages) < MEMORY_SUMMARIZE_THRESHOLD:
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return
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# 古いメッセージ（閾値の半分）を要約対象にする
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half = MEMORY_SUMMARIZE_THRESHOLD // 2
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to_summarize = messages[:half]
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summary_prompt = [
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{"role": "system", "content": "以下の会話を簡潔に要約してください。重要な事実・決定・文脈を保持してください。"},
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*[{"role": m.role, "content": m.content} for m in to_summarize],
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]
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summary_text = await llm.complete(summary_prompt, session_id=session.id)
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db.add(Memory(session_id=session.id, summary=summary_text))
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for msg in to_summarize:
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db.delete(msg)
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db.commit()
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