Files
Cortex-Inara/cortex/config.py
Scott Idem 77e770cdb2 feat: multi-user/multi-persona support with two-level home directory layout
Restructures persona storage from a flat personas/{name}/ layout to
home/{username}/persona/{name}/, mirroring Linux home directories.

Changes:
- persona.py: two ContextVars (user + persona), Linux-style name validation,
  set_context(), get_user(), get_persona(), validate(), list_users(),
  list_user_personas(); persona_path() takes (username, name)
- config.py: replaces personas_dir with home_dir + home_root()
- git mv personas/inara → home/scott/persona/inara (history preserved)
- home/holly/persona/tina/: Holly's persona stub added
- cron_runner.py: all storage functions take (username, persona) params
- tools/cron.py: stamps user + persona on jobs; APScheduler IDs are
  {user}:{persona}:{job_id} to prevent collisions across users
- memory_distiller.py: distill_short/mid/long take (username, persona);
  added missing Path + settings imports
- scheduler.py: _load_user_crons() iterates home/*/persona/* (two-level)
- routers/chat.py, orchestrator.py: user field added; set_context() called
- tests/conftest.py: home_root fixture with two-level structure;
  patches home_dir instead of personas_dir
- tests/test_persona.py: fully rewritten for two-level API
- tests/test_api_files.py: updated fixture name and path
- .env.default: documents HOME_DIR setting; scrubs stale API key
- CLAUDE.md, README.md: directory maps updated for new layout

All 80 tests pass.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-20 22:35:40 -04:00

90 lines
3.9 KiB
Python

from pathlib import Path
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
anthropic_api_key: str | None = None # not used — claude CLI handles auth
# Orchestrator (Gemini API — separate from Gemini CLI)
# Get a key at: https://aistudio.google.com/apikey (free tier is sufficient)
gemini_api_key: str | None = None
orchestrator_model: str = "gemini-2.5-flash" # model used for tool loop
orchestrator_max_rounds: int = 10 # safety cap on tool iterations
# DuckDuckGo search (used by orchestrator web_search tool)
# Leave blank to use the free unauthenticated tier; set to your API key for higher limits
ddg_api_key: str | None = None
ddg_max_results: int = 5
# Aether Platform API (used by orchestrator ae_journal_* and ae_task_list tools)
ae_api_url: str = "https://dev-api.oneskyit.com"
ae_api_key: str = "" # x-aether-api-key header
ae_account_id: str = "" # x-account-id header
ae_api_timeout: int = 15 # per-request timeout in seconds
# Agent identity — used in prompts, session logs, and memory distillation
# Override in .env for each instance (e.g. AGENT_NAME=Holly, USER_NAME=Holly)
agent_name: str = "Inara"
user_name: str = "Scott"
home_dir: Path = Path("../home")
sessions_dir: Path = Path("./data/sessions")
default_model: str = "claude-sonnet-4-6"
default_tier: int = 2
max_history_messages: int = 40 # rolling window — 20 turns (user + assistant)
primary_backend: str = "claude" # "claude" or "gemini" — other is always fallback
# Per-backend timeouts in seconds
timeout_claude: int = 60
timeout_gemini: int = 120 # frequently slow under load
timeout_local: int = 300 # local models may need to load first
# Google Chat
# JWT audience (aud) claim to verify on inbound webhook requests.
# Google Chat sets aud = the Google Cloud project number (e.g. "741112865538").
# Set to "" to disable verification (dev/testing only).
google_chat_audience: str = ""
# Google Chat must receive a response within 30s or shows an error to the user
google_chat_timeout: int = 25
# Backend forced for Google Chat — Claude is more reliable within the 25s deadline
google_chat_backend: str = "claude"
# Nextcloud Talk bot
nextcloud_url: str = "https://cloud.dgrzone.com"
nextcloud_talk_bot_secret: str = "" # set in .env
nextcloud_talk_timeout: int = 55
# Auto-distillation schedule — override in .env
# AUTO_DISTILL=false disables entirely
scheduler_timezone: str = "America/New_York" # IANA tz — override in .env if needed
auto_distill: bool = True
auto_distill_short: bool = True # daily at 03:00 — rolls session logs → MEMORY_SHORT
auto_distill_mid: bool = True # weekly Sunday at 03:30 — LLM summarizes short → mid
auto_distill_long: bool = False # monthly 1st at 04:00 — off by default (manual review recommended)
# Memory tier token budgets — soft caps used during distillation
# Override in .env: MEMORY_BUDGET_LONG=4000 etc.
memory_budget_long: int = 2000
memory_budget_mid: int = 2000
memory_budget_short: int = 3000
host: str = "0.0.0.0"
port: int = 8000
model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore")
def home_root(self) -> Path:
"""Resolve home_dir relative to this file's location if not absolute."""
if self.home_dir.is_absolute():
return self.home_dir
return (Path(__file__).parent / self.home_dir).resolve()
def sessions_path(self) -> Path:
"""Resolve sessions_dir relative to this file's location if not absolute."""
if self.sessions_dir.is_absolute():
return self.sessions_dir
return (Path(__file__).parent / self.sessions_dir).resolve()
settings = Settings()