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
5.5 KiB
Plaintext
107 lines
5.5 KiB
Plaintext
# Cortex .env reference — copy to .env and fill in values
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# DO NOT commit .env — it contains secrets
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# ── Agent identity ───────────────────────────────────────────────────────────
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# Global display names used in distillation prompts and session logs.
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# Individual persona identities live in home/{username}/persona/{name}/IDENTITY.md
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AGENT_NAME=Inara
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USER_NAME=Scott
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# ── Home directory ────────────────────────────────────────────────────────────
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# Root for all user/persona data. Layout: home/{username}/persona/{name}/
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# Relative paths are resolved from the cortex/ directory.
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# Default: ../home (i.e. Cortex_and_Inara_dev/home/)
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# HOME_DIR=../home
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# ── Google OAuth — "Sign in with Google" ────────────────────────────────────
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# Create credentials at console.cloud.google.com → APIs & Services → Credentials
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# Application type: Web Application
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# Authorised redirect URI: https://cortex.dgrzone.com/auth/google/callback
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# Pre-register users: cd cortex && .venv/bin/python manage_passwords.py google-add <user> <email>
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# Per-user Gemini key: add "gemini_api_key": "AIza..." to home/{username}/auth.json
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GOOGLE_CLIENT_ID=
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GOOGLE_CLIENT_SECRET=
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# ── Session auth ─────────────────────────────────────────────────────────────
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# Generate with: python3 -c "import secrets; print(secrets.token_hex(32))"
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JWT_SECRET=change-me-in-dotenv
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JWT_EXPIRE_DAYS=30
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# ── SMTP (invite emails + future notifications) ───────────────────────────────
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SMTP_SERVER=linode.oneskyit.com
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SMTP_PORT=465
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SMTP_USERNAME=send_mail
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SMTP_PASSWORD=
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SMTP_FROM_EMAIL=noreply@oneskyit.com
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SMTP_FROM_NAME=Cortex
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# Base URL included in invite links
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CORTEX_BASE_URL=https://cortex.dgrzone.com
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# ── Server ──────────────────────────────────────────────────────────────────
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HOST=0.0.0.0
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PORT=8000
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# ── Google Chat bot ──────────────────────────────────────────────────────────
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# JWT audience for verifying inbound Workspace Add-on Chat webhook requests.
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# For Workspace Add-on Chat apps, the aud claim = the endpoint URL.
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# Leave blank to disable verification (dev/testing only).
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GOOGLE_CHAT_AUDIENCE=https://cortex.dgrzone.com/channels/google-chat
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# ── Nextcloud Talk bot ───────────────────────────────────────────────────────
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NEXTCLOUD_URL=https://cloud.dgrzone.com
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NEXTCLOUD_TALK_BOT_SECRET=
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# ── LLM backends ────────────────────────────────────────────────────────────
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# Primary backend: "claude", "gemini", or "local" (switchable at runtime via UI)
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PRIMARY_BACKEND=claude
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# Timeouts in seconds
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TIMEOUT_CLAUDE=60
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TIMEOUT_GEMINI=120
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TIMEOUT_LOCAL=300 # local models may need time to load
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# ── Local model (Open WebUI / Ollama — OpenAI-compatible API) ────────────────
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# Leave LOCAL_API_URL blank to disable. When set, "local" appears as a backend option.
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# API key: Open WebUI → Settings → Account → API Keys
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# Model: workspace alias or full Ollama model name
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LOCAL_API_URL=http://192.168.32.19:3000
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LOCAL_API_KEY=
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LOCAL_MODEL=test-agent-simple
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# ── Orchestrator (Gemini API — not Gemini CLI) ───────────────────────────────
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# Required for /orchestrate endpoint and tool use
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# Free tier key: https://aistudio.google.com/apikey
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GEMINI_API_KEY=
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# Model for the orchestration tool loop (not the user-facing response)
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ORCHESTRATOR_MODEL=gemini-2.5-flash
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# Safety cap on tool loop iterations
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ORCHESTRATOR_MAX_ROUNDS=10
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# ── DuckDuckGo search ────────────────────────────────────────────────────────
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# Leave blank for free unauthenticated tier
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# Set to your API key for higher rate limits (paid DuckDuckGo account)
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DDG_API_KEY=
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DDG_MAX_RESULTS=5
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# ── Aether Platform API ───────────────────────────────────────────────────────
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# Used by orchestrator tools: ae_journal_search, ae_journal_entry_create, ae_task_list
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# Same values as agents_sync/mcp/.env — copy from there
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AE_API_URL=https://dev-api.oneskyit.com
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AE_API_KEY=
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AE_ACCOUNT_ID=
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AE_API_TIMEOUT=15
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# ── Distillation schedule ────────────────────────────────────────────────────
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SCHEDULER_TIMEZONE=America/New_York
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AUTO_DISTILL=true
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AUTO_DISTILL_SHORT=true
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AUTO_DISTILL_MID=true
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AUTO_DISTILL_LONG=false # manual review recommended before enabling
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# Memory tier token budgets (soft caps)
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MEMORY_BUDGET_SHORT=3000
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MEMORY_BUDGET_MID=2000
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MEMORY_BUDGET_LONG=2000
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