Admire 7eb3a150b5
feat: add memory management actions and local filters in memory settings (#1467)
* Add MVP memory management actions

* Fix memory settings locale coverage

* Polish memory management interactions

* Add memory search and type filters

* Refine memory settings review feedback

* docs: simplify memory settings review setup

* fix: restore memory updater compatibility helpers

* fix: address memory settings review feedback

* docs: soften memory sample review wording

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
Co-authored-by: JeffJiang <for-eleven@hotmail.com>
2026-03-29 13:14:45 +08:00

241 lines
8.2 KiB
Python

"""Memory API router for retrieving and managing global memory data."""
from fastapi import APIRouter, HTTPException
from pydantic import BaseModel, Field
from deerflow.agents.memory.updater import (
clear_memory_data,
delete_memory_fact,
get_memory_data,
reload_memory_data,
)
from deerflow.config.memory_config import get_memory_config
router = APIRouter(prefix="/api", tags=["memory"])
class ContextSection(BaseModel):
"""Model for context sections (user and history)."""
summary: str = Field(default="", description="Summary content")
updatedAt: str = Field(default="", description="Last update timestamp")
class UserContext(BaseModel):
"""Model for user context."""
workContext: ContextSection = Field(default_factory=ContextSection)
personalContext: ContextSection = Field(default_factory=ContextSection)
topOfMind: ContextSection = Field(default_factory=ContextSection)
class HistoryContext(BaseModel):
"""Model for history context."""
recentMonths: ContextSection = Field(default_factory=ContextSection)
earlierContext: ContextSection = Field(default_factory=ContextSection)
longTermBackground: ContextSection = Field(default_factory=ContextSection)
class Fact(BaseModel):
"""Model for a memory fact."""
id: str = Field(..., description="Unique identifier for the fact")
content: str = Field(..., description="Fact content")
category: str = Field(default="context", description="Fact category")
confidence: float = Field(default=0.5, description="Confidence score (0-1)")
createdAt: str = Field(default="", description="Creation timestamp")
source: str = Field(default="unknown", description="Source thread ID")
class MemoryResponse(BaseModel):
"""Response model for memory data."""
version: str = Field(default="1.0", description="Memory schema version")
lastUpdated: str = Field(default="", description="Last update timestamp")
user: UserContext = Field(default_factory=UserContext)
history: HistoryContext = Field(default_factory=HistoryContext)
facts: list[Fact] = Field(default_factory=list)
class MemoryConfigResponse(BaseModel):
"""Response model for memory configuration."""
enabled: bool = Field(..., description="Whether memory is enabled")
storage_path: str = Field(..., description="Path to memory storage file")
debounce_seconds: int = Field(..., description="Debounce time for memory updates")
max_facts: int = Field(..., description="Maximum number of facts to store")
fact_confidence_threshold: float = Field(..., description="Minimum confidence threshold for facts")
injection_enabled: bool = Field(..., description="Whether memory injection is enabled")
max_injection_tokens: int = Field(..., description="Maximum tokens for memory injection")
class MemoryStatusResponse(BaseModel):
"""Response model for memory status."""
config: MemoryConfigResponse
data: MemoryResponse
@router.get(
"/memory",
response_model=MemoryResponse,
summary="Get Memory Data",
description="Retrieve the current global memory data including user context, history, and facts.",
)
async def get_memory() -> MemoryResponse:
"""Get the current global memory data.
Returns:
The current memory data with user context, history, and facts.
Example Response:
```json
{
"version": "1.0",
"lastUpdated": "2024-01-15T10:30:00Z",
"user": {
"workContext": {"summary": "Working on DeerFlow project", "updatedAt": "..."},
"personalContext": {"summary": "Prefers concise responses", "updatedAt": "..."},
"topOfMind": {"summary": "Building memory API", "updatedAt": "..."}
},
"history": {
"recentMonths": {"summary": "Recent development activities", "updatedAt": "..."},
"earlierContext": {"summary": "", "updatedAt": ""},
"longTermBackground": {"summary": "", "updatedAt": ""}
},
"facts": [
{
"id": "fact_abc123",
"content": "User prefers TypeScript over JavaScript",
"category": "preference",
"confidence": 0.9,
"createdAt": "2024-01-15T10:30:00Z",
"source": "thread_xyz"
}
]
}
```
"""
memory_data = get_memory_data()
return MemoryResponse(**memory_data)
@router.post(
"/memory/reload",
response_model=MemoryResponse,
summary="Reload Memory Data",
description="Reload memory data from the storage file, refreshing the in-memory cache.",
)
async def reload_memory() -> MemoryResponse:
"""Reload memory data from file.
This forces a reload of the memory data from the storage file,
useful when the file has been modified externally.
Returns:
The reloaded memory data.
"""
memory_data = reload_memory_data()
return MemoryResponse(**memory_data)
@router.delete(
"/memory",
response_model=MemoryResponse,
summary="Clear All Memory Data",
description="Delete all saved memory data and reset the memory structure to an empty state.",
)
async def clear_memory() -> MemoryResponse:
"""Clear all persisted memory data."""
try:
memory_data = clear_memory_data()
except OSError as exc:
raise HTTPException(status_code=500, detail="Failed to clear memory data.") from exc
return MemoryResponse(**memory_data)
@router.delete(
"/memory/facts/{fact_id}",
response_model=MemoryResponse,
summary="Delete Memory Fact",
description="Delete a single saved memory fact by its fact id.",
)
async def delete_memory_fact_endpoint(fact_id: str) -> MemoryResponse:
"""Delete a single fact from memory by fact id."""
try:
memory_data = delete_memory_fact(fact_id)
except KeyError as exc:
raise HTTPException(status_code=404, detail=f"Memory fact '{fact_id}' not found.") from exc
except OSError as exc:
raise HTTPException(status_code=500, detail="Failed to delete memory fact.") from exc
return MemoryResponse(**memory_data)
@router.get(
"/memory/config",
response_model=MemoryConfigResponse,
summary="Get Memory Configuration",
description="Retrieve the current memory system configuration.",
)
async def get_memory_config_endpoint() -> MemoryConfigResponse:
"""Get the memory system configuration.
Returns:
The current memory configuration settings.
Example Response:
```json
{
"enabled": true,
"storage_path": ".deer-flow/memory.json",
"debounce_seconds": 30,
"max_facts": 100,
"fact_confidence_threshold": 0.7,
"injection_enabled": true,
"max_injection_tokens": 2000
}
```
"""
config = get_memory_config()
return MemoryConfigResponse(
enabled=config.enabled,
storage_path=config.storage_path,
debounce_seconds=config.debounce_seconds,
max_facts=config.max_facts,
fact_confidence_threshold=config.fact_confidence_threshold,
injection_enabled=config.injection_enabled,
max_injection_tokens=config.max_injection_tokens,
)
@router.get(
"/memory/status",
response_model=MemoryStatusResponse,
summary="Get Memory Status",
description="Retrieve both memory configuration and current data in a single request.",
)
async def get_memory_status() -> MemoryStatusResponse:
"""Get the memory system status including configuration and data.
Returns:
Combined memory configuration and current data.
"""
config = get_memory_config()
memory_data = get_memory_data()
return MemoryStatusResponse(
config=MemoryConfigResponse(
enabled=config.enabled,
storage_path=config.storage_path,
debounce_seconds=config.debounce_seconds,
max_facts=config.max_facts,
fact_confidence_threshold=config.fact_confidence_threshold,
injection_enabled=config.injection_enabled,
max_injection_tokens=config.max_injection_tokens,
),
data=MemoryResponse(**memory_data),
)