a4daebdc9b
Local LLM:
- user_settings.py: per-user hosts/models config (local_llm.json)
- routers/local_llm.py + static/local_llm.html: dedicated settings page
- llm_client.py: local OpenAI-compatible backend via httpx
- config.py: LOCAL_API_URL/KEY/MODEL + per-backend timeouts
- Active model shown near backend toggle (amber hint text)
Memory distillation:
- memory_distiller.py: DISTILL_BACKEND_MID/LONG .env overrides
- scheduler.py + notification.py: notify NC Talk after mid/long distill
- notification.py: outbound channel abstraction (NC Talk, extensible)
Session search:
- routers/files.py: GET /sessions/search?q= with excerpts grouped by date
- static/index.html + app.js: search UI in file sidebar with highlight
- _esc() helper to prevent XSS in search results
Proactive cron:
- cron_runner.py: new job types — message (send directly) and brief (LLM + send)
- Both support optional per-job channel override
Channels:
- routers/nextcloud_talk.py: consolidated using notification._send_nct_message()
- routers/auth.py: local backend status in /auth/status
- routers/chat.py: /backend returns {primary, fallback, local_model} object
UI / UX:
- Copy button for user messages (matching assistant)
- Autocomplete disabled on sensitive form fields
- settings.html: local model section replaced with link to /settings/local
Docs overhaul:
- MASTER.md hub + ARCH__SYSTEM/BACKENDS/PERSONA/CHANNELS/FUTURE.md
- ARCH__Intelligence_Layer.md replaced with redirect table
- CORTEX.md trimmed to vision only; README updated
- OPEN_WEBUI_API.md added to docs/
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
107 lines
4.7 KiB
Python
107 lines
4.7 KiB
Python
from pathlib import Path
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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anthropic_api_key: str | None = None # not used — claude CLI handles auth
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# Google OAuth — "Sign in with Google" for all users
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# Create credentials at console.cloud.google.com → APIs & Services → Credentials
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# Add https://<your-domain>/auth/google/callback as an authorised redirect URI
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google_client_id: str | None = None
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google_client_secret: str | None = None
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# Orchestrator (Gemini API — separate from Gemini CLI)
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# Get a key at: https://aistudio.google.com/apikey (free tier is sufficient)
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gemini_api_key: str | None = None
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orchestrator_model: str = "gemini-2.5-flash" # model used for tool loop
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orchestrator_max_rounds: int = 10 # safety cap on tool iterations
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# DuckDuckGo search (used by orchestrator web_search tool)
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# Leave blank to use the free unauthenticated tier; set to your API key for higher limits
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ddg_api_key: str | None = None
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ddg_max_results: int = 5
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# Aether Platform API (used by orchestrator ae_journal_* and ae_task_list tools)
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ae_api_url: str = "https://dev-api.oneskyit.com"
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ae_api_key: str = "" # x-aether-api-key header
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ae_account_id: str = "" # x-account-id header
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ae_api_timeout: int = 15 # per-request timeout in seconds
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# Agent identity — used in prompts, session logs, and memory distillation
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# Override in .env for each instance (e.g. AGENT_NAME=Holly, USER_NAME=Holly)
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agent_name: str = "Inara"
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user_name: str = "Scott"
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home_dir: Path = Path("../home")
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sessions_dir: Path = Path("./data/sessions")
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default_model: str = "claude-sonnet-4-6"
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default_tier: int = 2
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max_history_messages: int = 40 # rolling window — 20 turns (user + assistant)
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primary_backend: str = "claude" # "claude" or "gemini" — other is always fallback
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# Local model backend — OpenAI-compatible API (Open WebUI / Ollama)
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# Set LOCAL_API_URL in .env to enable; leave blank to disable
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local_api_url: str = "" # e.g. http://192.168.32.19:3000
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local_api_key: str = "" # sk-... from Open WebUI → Settings → Account → API Keys
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local_model: str = "" # workspace or model name, e.g. test-agent-simple
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# Per-backend timeouts in seconds
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timeout_claude: int = 60
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timeout_gemini: int = 120 # frequently slow under load
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timeout_local: int = 300 # local models may need to load first
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# Auto-distillation schedule — override in .env
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# AUTO_DISTILL=false disables entirely
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scheduler_timezone: str = "America/New_York" # IANA tz — override in .env if needed
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auto_distill: bool = True
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auto_distill_short: bool = True # daily at 03:00 — rolls session logs → MEMORY_SHORT
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auto_distill_mid: bool = True # weekly Sunday at 03:30 — LLM summarizes short → mid
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auto_distill_long: bool = False # monthly 1st at 04:00 — off by default (manual review recommended)
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# Which backend to use for distillation LLM calls.
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# "" = use primary_backend (default); "local" = use local model (saves API credits).
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# "long" stays on default (claude/gemini) for best quality.
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distill_backend_mid: str = ""
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distill_backend_long: str = ""
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# Memory tier token budgets — soft caps used during distillation
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# Override in .env: MEMORY_BUDGET_LONG=4000 etc.
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memory_budget_long: int = 2000
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memory_budget_mid: int = 2000
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memory_budget_short: int = 3000
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# Session auth
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jwt_secret: str = "change-me-in-dotenv" # override in .env: JWT_SECRET=<random>
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jwt_expire_days: int = 30
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# SMTP — for sending invite emails
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smtp_server: str = ""
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smtp_port: int = 465
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smtp_username: str = ""
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smtp_password: str = ""
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smtp_from_email: str = "noreply@oneskyit.com"
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smtp_from_name: str = "Cortex"
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# Base URL used in invite links (no trailing slash)
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cortex_base_url: str = "https://cortex.dgrzone.com"
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host: str = "0.0.0.0"
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port: int = 8000
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model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore")
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def home_root(self) -> Path:
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"""Resolve home_dir relative to this file's location if not absolute."""
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if self.home_dir.is_absolute():
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return self.home_dir
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return (Path(__file__).parent / self.home_dir).resolve()
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def sessions_path(self) -> Path:
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"""Resolve sessions_dir relative to this file's location if not absolute."""
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if self.sessions_dir.is_absolute():
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return self.sessions_dir
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return (Path(__file__).parent / self.sessions_dir).resolve()
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settings = Settings()
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