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- Created logs/ structure (sessions, operations, incidents) - Added session-start/log/end scripts - Installed Git hooks for auto-logging commits/pushes - Added shell integration for zsh - Created CHANGELOG.md - Documented today's session (2026-01-10)
64 lines
1.7 KiB
Python
64 lines
1.7 KiB
Python
from pydantic import BaseModel, Field
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from typing import Literal, Optional, Dict, Any
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from datetime import datetime
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from uuid import UUID
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class MemoryQueryRequest(BaseModel):
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agent_id: str = Field(..., description="Agent ID, e.g., agent:sofia")
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microdao_id: str = Field(..., description="MicroDAO ID")
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channel_id: Optional[str] = None
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query: str = Field(..., min_length=1, description="Query text for semantic search")
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limit: int = Field(5, ge=1, le=50, description="Max results to return")
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kind_filter: Optional[list[str]] = Field(None, description="Filter by memory kind")
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class MemoryItem(BaseModel):
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id: str
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kind: Literal["conversation", "kb", "task", "dao-event", "channel-context"]
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score: float = Field(..., ge=0.0, le=1.0, description="Relevance score")
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content: str
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meta: Dict[str, Any] = Field(default_factory=dict)
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created_at: datetime
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class MemoryQueryResponse(BaseModel):
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items: list[MemoryItem]
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total: int
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query: str
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class MemoryStoreRequest(BaseModel):
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agent_id: str
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microdao_id: str
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channel_id: Optional[str] = None
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kind: Literal["conversation", "kb", "task", "dao-event", "channel-context"]
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content: Dict[str, Any] = Field(..., description="Structured content to store")
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metadata: Optional[Dict[str, Any]] = Field(default_factory=dict)
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class MemoryStoreResponse(BaseModel):
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ok: bool
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id: str
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class MemorySummarizeRequest(BaseModel):
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agent_id: str
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microdao_id: str
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channel_id: Optional[str] = None
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limit: int = Field(10, ge=1, le=100, description="Number of recent items to summarize")
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class MemorySummarizeResponse(BaseModel):
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summary: str
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items_processed: int
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