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chore: finalize repo audit hygiene (#257)

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This commit is contained in:
Elliot Chen
2026-06-06 13:59:12 +08:00
committed by GitHub
parent ab23e40b28
commit 00f1dfaec5
27 changed files with 459 additions and 199 deletions
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34
use-cases/openher/integration/evermemos_mixin.py
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@ -1,14 +1,14 @@
"""
EverMemosMixin — EverCore integration for ChatAgent.
EverMemosMixin — EverOS integration for ChatAgent.
This mixin handles all async memory operations in the ChatAgent lifecycle:
Step 0: Session context loading (first turn)
Step 2.5: Relationship EMA (blend EverCore prior + LLM delta)
Step 2.5: Relationship EMA (blend EverOS prior + LLM delta)
Step 8.5: Collect async search results
Step 11: Fire-and-forget turn storage
Step 12: Async prefetch for next turn
The mixin pattern keeps EverCore concerns cleanly separated from the
The mixin pattern keeps EverOS concerns cleanly separated from the
core persona engine (drives, metabolism, neural network, style memory).
Full source: https://github.com/kellyvv/OpenHer/blob/main/agent/evermemos_mixin.py
@ -20,19 +20,19 @@ import asyncio
class EverMemosMixin:
"""EverCore async memory integration methods."""
"""EverOS async memory integration methods."""
async def _evermemos_gather(self) -> dict:
"""
Step 0: Load EverCore session context (first turn only).
Step 0: Load EverOS session context (first turn only).
Subsequent turns reuse cached _session_ctx.
Returns relationship_4d dict for GenomeEngine context.
"""
empty_4d = {
'relationship_depth': 0.0,
'emotional_valence': 0.0,
'trust_level': 0.0,
'pending_foresight': 0.0,
"relationship_depth": 0.0,
"emotional_valence": 0.0,
"trust_level": 0.0,
"pending_foresight": 0.0,
}
if not (self.evermemos and self.evermemos.available):
@ -75,10 +75,10 @@ class EverMemosMixin:
"""
# Map Critic output keys → context feature keys
delta_map = {
'relationship_depth': rel_delta.get('relationship_delta', 0.0),
'emotional_valence': rel_delta.get('emotional_valence', 0.0),
'trust_level': rel_delta.get('trust_delta', 0.0),
'pending_foresight': 0.0, # No delta for foresight (data-driven only)
"relationship_depth": rel_delta.get("relationship_delta", 0.0),
"emotional_valence": rel_delta.get("emotional_valence", 0.0),
"trust_level": rel_delta.get("trust_delta", 0.0),
"pending_foresight": 0.0, # No delta for foresight (data-driven only)
}
# Initialize EMA on first turn
@ -88,7 +88,7 @@ class EverMemosMixin:
# Compute posterior = clip(prior + delta)
posterior = {}
for k in prior:
lo = -1.0 if k == 'emotional_valence' else 0.0
lo = -1.0 if k == "emotional_valence" else 0.0
posterior[k] = max(lo, min(1.0, prior[k] + delta_map.get(k, 0.0)))
# Depth-modulated alpha: shallow → trust prior, deep → trust LLM
@ -104,9 +104,10 @@ class EverMemosMixin:
return ema
def _evermemos_store_bg(self, user_message: str, reply: str) -> None:
"""Step 11: Fire-and-forget EverCore storage (asyncio.create_task)."""
"""Step 11: Fire-and-forget EverOS storage (asyncio.create_task)."""
if not (self.evermemos and self.evermemos.available):
return
async def _do_store():
try:
await self.evermemos.store_turn(
@ -120,6 +121,7 @@ class EverMemosMixin:
)
except Exception as e:
print(f" [evermemos] ❌ store failed: {type(e).__name__}: {e}")
try:
asyncio.create_task(_do_store())
except Exception as e:
@ -180,7 +182,7 @@ class EverMemosMixin:
self._relevant_facts = facts
self._relevant_episodes = episodes
self._relevant_profile = profile
except asyncio.TimeoutError:
except TimeoutError:
# Graceful degradation: use static session context
self._relevant_facts = ""
self._relevant_episodes = ""