File size: 6,275 Bytes
2a5c31d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 | from fastapi import APIRouter, HTTPException
from pydantic import BaseModel
from typing import Any, Dict, List, Optional
from src.memory.models import MemoryTier, MemoryOutcome
from src.memory.models import MemoryItem, ExperientialStrategy
from src.memory.safla import update_confidence, should_retire
from src.memory.store import (
associative_store as _associative,
temporal_store as _temporal,
experiential_store as _experiential,
working_store as _working,
)
router = APIRouter(prefix="/memory", tags=["memory"])
class MemoryAddRequest(BaseModel):
tier: str
title: str
content: str
tags: List[str] = []
metadata: Dict[str, Any] = {}
class StrategyRequest(BaseModel):
title: str
description: str
content: str
outcome: str = "success" # success | failure
task_pattern: str = ""
tags: List[str] = []
class SAFLAFeedbackRequest(BaseModel):
item_id: str
outcome: str # success | failure
# ββ Overview βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@router.get("")
async def memory_overview():
return {
"associative": {"count": len(_associative.all())},
"temporal": {"count": len(_temporal.all())},
"experiential": {
"count": len(_experiential.all()),
"guardrails": len(_experiential.guardrails()),
"strategies": len(_experiential.positive_strategies()),
},
"working": {
"count": len(_working.all()),
"utilization": _working.utilization,
"subgoals": len(_working.subgoal_tree()),
},
}
# ββ Associative βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@router.get("/associative")
async def list_associative(query: str = "", top_k: int = 20):
if query:
results = _associative.retrieve(query, top_k=top_k)
return [{"item": _fmt(r.item), "score": r.relevance_score} for r in results]
return [_fmt(i) for i in _associative.all()]
@router.post("/associative")
async def add_associative(req: MemoryAddRequest):
item = MemoryItem(title=req.title, content=req.content, tags=req.tags, metadata=req.metadata)
_associative.add(item)
return _fmt(item)
# ββ Temporal ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@router.get("/temporal")
async def list_temporal():
return [_fmt(i) for i in _temporal.timeline()]
@router.post("/temporal")
async def add_temporal(req: MemoryAddRequest, follows_id: Optional[str] = None):
item = MemoryItem(title=req.title, content=req.content, tags=req.tags)
_temporal.add_event(item, follows_id=follows_id)
return _fmt(item)
# ββ Experiential ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@router.get("/experiential")
async def list_experiential(guardrails_only: bool = False, query: str = "", top_k: int = 20):
if query:
fn = _experiential.retrieve_guardrails if guardrails_only else _experiential.retrieve
results = fn(query, top_k=top_k)
return [{"item": _fmt(r.item), "score": r.relevance_score} for r in results]
items = _experiential.guardrails() if guardrails_only else _experiential.all()
return [_fmt(i) for i in items]
@router.post("/experiential")
async def add_strategy(req: StrategyRequest):
strategy = _experiential.distill_from_outcome(
title=req.title,
description=req.description,
content=req.content,
outcome=MemoryOutcome(req.outcome),
task_pattern=req.task_pattern,
tags=req.tags,
)
return _fmt(strategy)
@router.post("/experiential/safla")
async def safla_feedback(req: SAFLAFeedbackRequest):
strategy = _experiential.get(req.item_id)
if not strategy:
raise HTTPException(status_code=404, detail="Strategy not found")
update_confidence(strategy, MemoryOutcome(req.outcome))
retired = should_retire(strategy)
return {"item_id": req.item_id, "confidence": strategy.confidence, "retired": retired}
@router.post("/experiential/consolidate")
async def consolidate():
removed = _experiential.consolidate()
return {"removed": removed, "remaining": len(_experiential.all())}
# ββ Working context βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@router.get("/working")
async def list_working():
return {
"items": [_fmt(i) for i in _working.all()],
"subgoals": _working.subgoal_tree(),
"utilization": _working.utilization,
}
@router.delete("/working")
async def clear_working():
_working.clear()
return {"cleared": True}
# ββ Helpers βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def _fmt(item: MemoryItem) -> Dict[str, Any]:
d: Dict[str, Any] = {
"item_id": item.item_id,
"tier": item.tier.value,
"title": item.title,
"content": item.content,
"tags": item.tags,
"confidence": item.confidence,
"usage_count": item.usage_count,
"created_at": item.created_at.isoformat(),
"updated_at": item.updated_at.isoformat(),
}
if isinstance(item, ExperientialStrategy):
d.update({
"description": item.description,
"outcome": item.outcome.value,
"kind": item.kind,
"is_guardrail": item.is_guardrail,
"task_pattern": item.task_pattern,
})
return d
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