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https://gitee.com/wanwujie/deer-flow
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- Add memory API endpoints for retrieving memory data: - GET /api/memory - get current memory data - POST /api/memory/reload - reload from file - GET /api/memory/config - get memory configuration - GET /api/memory/status - get config and data together - Optimize MemoryMiddleware to only use user inputs and final assistant responses, filtering out intermediate tool calls - Add memory configuration example to config.example.yaml Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
202 lines
6.9 KiB
Python
202 lines
6.9 KiB
Python
"""Memory API router for retrieving and managing global memory data."""
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from fastapi import APIRouter
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from pydantic import BaseModel, Field
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from src.agents.memory.updater import get_memory_data, reload_memory_data
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from src.config.memory_config import get_memory_config
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router = APIRouter(prefix="/api", tags=["memory"])
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class ContextSection(BaseModel):
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"""Model for context sections (user and history)."""
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summary: str = Field(default="", description="Summary content")
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updatedAt: str = Field(default="", description="Last update timestamp")
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class UserContext(BaseModel):
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"""Model for user context."""
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workContext: ContextSection = Field(default_factory=ContextSection)
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personalContext: ContextSection = Field(default_factory=ContextSection)
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topOfMind: ContextSection = Field(default_factory=ContextSection)
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class HistoryContext(BaseModel):
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"""Model for history context."""
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recentMonths: ContextSection = Field(default_factory=ContextSection)
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earlierContext: ContextSection = Field(default_factory=ContextSection)
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longTermBackground: ContextSection = Field(default_factory=ContextSection)
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class Fact(BaseModel):
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"""Model for a memory fact."""
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id: str = Field(..., description="Unique identifier for the fact")
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content: str = Field(..., description="Fact content")
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category: str = Field(default="context", description="Fact category")
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confidence: float = Field(default=0.5, description="Confidence score (0-1)")
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createdAt: str = Field(default="", description="Creation timestamp")
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source: str = Field(default="unknown", description="Source thread ID")
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class MemoryResponse(BaseModel):
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"""Response model for memory data."""
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version: str = Field(default="1.0", description="Memory schema version")
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lastUpdated: str = Field(default="", description="Last update timestamp")
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user: UserContext = Field(default_factory=UserContext)
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history: HistoryContext = Field(default_factory=HistoryContext)
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facts: list[Fact] = Field(default_factory=list)
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class MemoryConfigResponse(BaseModel):
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"""Response model for memory configuration."""
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enabled: bool = Field(..., description="Whether memory is enabled")
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storage_path: str = Field(..., description="Path to memory storage file")
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debounce_seconds: int = Field(..., description="Debounce time for memory updates")
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max_facts: int = Field(..., description="Maximum number of facts to store")
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fact_confidence_threshold: float = Field(..., description="Minimum confidence threshold for facts")
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injection_enabled: bool = Field(..., description="Whether memory injection is enabled")
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max_injection_tokens: int = Field(..., description="Maximum tokens for memory injection")
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class MemoryStatusResponse(BaseModel):
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"""Response model for memory status."""
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config: MemoryConfigResponse
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data: MemoryResponse
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@router.get(
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"/memory",
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response_model=MemoryResponse,
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summary="Get Memory Data",
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description="Retrieve the current global memory data including user context, history, and facts.",
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)
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async def get_memory() -> MemoryResponse:
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"""Get the current global memory data.
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Returns:
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The current memory data with user context, history, and facts.
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Example Response:
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```json
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{
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"version": "1.0",
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"lastUpdated": "2024-01-15T10:30:00Z",
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"user": {
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"workContext": {"summary": "Working on DeerFlow project", "updatedAt": "..."},
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"personalContext": {"summary": "Prefers concise responses", "updatedAt": "..."},
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"topOfMind": {"summary": "Building memory API", "updatedAt": "..."}
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},
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"history": {
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"recentMonths": {"summary": "Recent development activities", "updatedAt": "..."},
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"earlierContext": {"summary": "", "updatedAt": ""},
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"longTermBackground": {"summary": "", "updatedAt": ""}
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},
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"facts": [
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{
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"id": "fact_abc123",
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"content": "User prefers TypeScript over JavaScript",
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"category": "preference",
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"confidence": 0.9,
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"createdAt": "2024-01-15T10:30:00Z",
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"source": "thread_xyz"
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}
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]
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}
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```
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"""
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memory_data = get_memory_data()
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return MemoryResponse(**memory_data)
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@router.post(
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"/memory/reload",
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response_model=MemoryResponse,
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summary="Reload Memory Data",
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description="Reload memory data from the storage file, refreshing the in-memory cache.",
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)
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async def reload_memory() -> MemoryResponse:
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"""Reload memory data from file.
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This forces a reload of the memory data from the storage file,
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useful when the file has been modified externally.
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Returns:
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The reloaded memory data.
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"""
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memory_data = reload_memory_data()
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return MemoryResponse(**memory_data)
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@router.get(
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"/memory/config",
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response_model=MemoryConfigResponse,
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summary="Get Memory Configuration",
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description="Retrieve the current memory system configuration.",
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)
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async def get_memory_config_endpoint() -> MemoryConfigResponse:
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"""Get the memory system configuration.
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Returns:
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The current memory configuration settings.
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Example Response:
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```json
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{
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"enabled": true,
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"storage_path": ".deer-flow/memory.json",
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"debounce_seconds": 30,
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"max_facts": 100,
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"fact_confidence_threshold": 0.7,
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"injection_enabled": true,
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"max_injection_tokens": 2000
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}
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```
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"""
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config = get_memory_config()
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return MemoryConfigResponse(
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enabled=config.enabled,
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storage_path=config.storage_path,
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debounce_seconds=config.debounce_seconds,
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max_facts=config.max_facts,
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fact_confidence_threshold=config.fact_confidence_threshold,
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injection_enabled=config.injection_enabled,
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max_injection_tokens=config.max_injection_tokens,
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)
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@router.get(
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"/memory/status",
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response_model=MemoryStatusResponse,
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summary="Get Memory Status",
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description="Retrieve both memory configuration and current data in a single request.",
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)
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async def get_memory_status() -> MemoryStatusResponse:
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"""Get the memory system status including configuration and data.
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Returns:
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Combined memory configuration and current data.
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"""
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config = get_memory_config()
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memory_data = get_memory_data()
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return MemoryStatusResponse(
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config=MemoryConfigResponse(
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enabled=config.enabled,
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storage_path=config.storage_path,
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debounce_seconds=config.debounce_seconds,
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max_facts=config.max_facts,
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fact_confidence_threshold=config.fact_confidence_threshold,
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injection_enabled=config.injection_enabled,
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max_injection_tokens=config.max_injection_tokens,
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),
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data=MemoryResponse(**memory_data),
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)
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