fleet-memory/hindsight-api/hindsight_api/engine/retain/bank_utils.py
Nicolò Boschi 4f2833873c
feat: introduce mental models (#132)
* mental models

* DRAFT: refactor entity observations

* fix db patch

* agentic

* agentic

* reflect agent

* new style

* more

* fix ci

* fix

* fix
2026-01-16 11:16:41 +01:00

268 lines
7.5 KiB
Python

"""
bank profile utilities for disposition and mission management.
"""
import json
import logging
import re
from typing import TypedDict
from pydantic import BaseModel, Field
from ..db_utils import acquire_with_retry
from ..memory_engine import fq_table
from ..response_models import DispositionTraits
logger = logging.getLogger(__name__)
DEFAULT_DISPOSITION = {
"skepticism": 3,
"literalism": 3,
"empathy": 3,
}
class BankProfile(TypedDict):
"""Type for bank profile data."""
name: str
disposition: DispositionTraits
mission: str
class MissionMergeResponse(BaseModel):
"""LLM response for mission merge."""
mission: str = Field(description="Merged mission in first person perspective")
async def get_bank_profile(pool, bank_id: str) -> BankProfile:
"""
Get bank profile (name, disposition + mission).
Auto-creates bank with default values if not exists.
Args:
pool: Database connection pool
bank_id: bank IDentifier
Returns:
BankProfile with name, typed DispositionTraits, and mission
"""
async with acquire_with_retry(pool) as conn:
# Try to get existing bank
row = await conn.fetchrow(
f"""
SELECT name, disposition, mission
FROM {fq_table("banks")} WHERE bank_id = $1
""",
bank_id,
)
if row:
# asyncpg returns JSONB as a string, so parse it
disposition_data = row["disposition"]
if isinstance(disposition_data, str):
disposition_data = json.loads(disposition_data)
return BankProfile(
name=row["name"],
disposition=DispositionTraits(**disposition_data),
mission=row["mission"] or "",
)
# Bank doesn't exist, create with defaults
await conn.execute(
f"""
INSERT INTO {fq_table("banks")} (bank_id, name, disposition, mission)
VALUES ($1, $2, $3::jsonb, $4)
ON CONFLICT (bank_id) DO NOTHING
""",
bank_id,
bank_id, # Default name is the bank_id
json.dumps(DEFAULT_DISPOSITION),
"",
)
return BankProfile(name=bank_id, disposition=DispositionTraits(**DEFAULT_DISPOSITION), mission="")
async def update_bank_disposition(pool, bank_id: str, disposition: dict[str, int]) -> None:
"""
Update bank disposition traits.
Args:
pool: Database connection pool
bank_id: bank IDentifier
disposition: Dict with skepticism, literalism, empathy (all 1-5)
"""
# Ensure bank exists first
await get_bank_profile(pool, bank_id)
async with acquire_with_retry(pool) as conn:
await conn.execute(
f"""
UPDATE {fq_table("banks")}
SET disposition = $2::jsonb,
updated_at = NOW()
WHERE bank_id = $1
""",
bank_id,
json.dumps(disposition),
)
async def set_bank_mission(pool, bank_id: str, mission: str) -> None:
"""
Set bank mission (replacing any existing mission).
Args:
pool: Database connection pool
bank_id: bank IDentifier
mission: The mission text
"""
# Ensure bank exists first
await get_bank_profile(pool, bank_id)
async with acquire_with_retry(pool) as conn:
await conn.execute(
f"""
UPDATE {fq_table("banks")}
SET mission = $2,
updated_at = NOW()
WHERE bank_id = $1
""",
bank_id,
mission,
)
async def merge_bank_mission(pool, llm_config, bank_id: str, new_info: str) -> dict:
"""
Merge new mission information with existing mission using LLM.
Normalizes to first person ("I") and resolves conflicts.
Args:
pool: Database connection pool
llm_config: LLM configuration for mission merging
bank_id: bank IDentifier
new_info: New mission information to add/merge
Returns:
Dict with 'mission' (str) key
"""
# Get current profile
profile = await get_bank_profile(pool, bank_id)
current_mission = profile["mission"]
# Use LLM to merge missions
result = await _llm_merge_mission(llm_config, current_mission, new_info)
merged_mission = result["mission"]
# Update in database
async with acquire_with_retry(pool) as conn:
await conn.execute(
f"""
UPDATE {fq_table("banks")}
SET mission = $2,
updated_at = NOW()
WHERE bank_id = $1
""",
bank_id,
merged_mission,
)
return {"mission": merged_mission}
async def _llm_merge_mission(llm_config, current: str, new_info: str) -> dict:
"""
Use LLM to intelligently merge mission information.
Args:
llm_config: LLM configuration to use
current: Current mission text
new_info: New information to merge
Returns:
Dict with 'mission' (str) key
"""
prompt = f"""You are helping maintain an agent's mission statement.
Current mission: {current if current else "(empty)"}
New information to add: {new_info}
Instructions:
1. Merge the new information with the current mission
2. If there are conflicts, the NEW information overwrites the old
3. Keep additions that don't conflict
4. Output in FIRST PERSON ("I") perspective
5. Be concise - keep it under 500 characters
6. Return ONLY the merged mission text, no explanations
Merged mission:"""
try:
messages = [{"role": "user", "content": prompt}]
content = await llm_config.call(
messages=messages, scope="bank_mission", temperature=0.3, max_completion_tokens=8192
)
logger.info(f"LLM response for mission merge (first 500 chars): {content[:500]}")
merged = content.strip()
if not merged or merged.lower() in ["(empty)", "none", "n/a"]:
merged = new_info if new_info else ""
return {"mission": merged}
except Exception as e:
logger.error(f"Error merging mission with LLM: {e}")
# Fallback: just append new info
if current:
merged = f"{current} {new_info}".strip()
else:
merged = new_info
return {"mission": merged}
async def list_banks(pool) -> list:
"""
List all banks in the system.
Args:
pool: Database connection pool
Returns:
List of dicts with bank_id, name, disposition, mission, created_at, updated_at
"""
async with acquire_with_retry(pool) as conn:
rows = await conn.fetch(
f"""
SELECT bank_id, name, disposition, mission, created_at, updated_at
FROM {fq_table("banks")}
ORDER BY updated_at DESC
"""
)
result = []
for row in rows:
# asyncpg returns JSONB as a string, so parse it
disposition_data = row["disposition"]
if isinstance(disposition_data, str):
disposition_data = json.loads(disposition_data)
result.append(
{
"bank_id": row["bank_id"],
"name": row["name"],
"disposition": disposition_data,
"mission": row["mission"] or "",
"created_at": row["created_at"].isoformat() if row["created_at"] else None,
"updated_at": row["updated_at"].isoformat() if row["updated_at"] else None,
}
)
return result