e3802eff60
- 新增 AgentLearningPattern 模型和 agent_learning_service 服务 - 执行前注入历史学习模式到 system prompt 作为工具选择建议 - 执行后自动提取工具序列并保存/累计学习模式 - 支持任务分类(11类)、关键词提取、工具序列合并、有效性评分 - 集成到 AgentRuntime.run()/run_stream()，支持 bare chat 和 Agent 模式 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
26 lines
1.6 KiB
Python
26 lines
1.6 KiB
Python
"""Agent 自主学习模式表：记录工具使用模式，支持自主学习优化"""
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import uuid
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from datetime import datetime
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from sqlalchemy import Column, String, Text, Float, Integer, DateTime
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from app.core.database import Base
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class AgentLearningPattern(Base):
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"""Agent 学习模式 — 记录工具调用序列与任务类型的关系"""
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__tablename__ = "agent_learning_patterns"
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id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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scope_kind = Column(String(16), nullable=False, index=True, comment="作用域类型: agent/bare")
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scope_id = Column(String(64), nullable=False, index=True, comment="作用域 ID: agent_id/user_id")
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task_category = Column(String(64), nullable=False, default="general", comment="任务分类")
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task_keywords = Column(String(256), default="", comment="任务关键词")
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suggested_tools = Column(Text, nullable=False, comment="推荐工具序列 (JSON array)")
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effectiveness_score = Column(Float, default=0.0, comment="有效评分 0-1")
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total_runs = Column(Integer, default=1, comment="总运行次数")
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successful_runs = Column(Integer, default=1, comment="成功次数")
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avg_iterations = Column(Float, default=1.0, comment="平均迭代次数")
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avg_tool_calls = Column(Float, default=1.0, comment="平均工具调用数")
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last_used_at = Column(DateTime, default=datetime.utcnow, comment="最后使用时间")
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created_at = Column(DateTime, default=datetime.utcnow, comment="创建时间")
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updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow, comment="更新时间")
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