All hardcoded "Inara"/"Scott" strings replaced with settings.agent_name and settings.user_name, read from .env at startup: - config.py: AGENT_NAME and USER_NAME settings (defaults: Inara / Scott) - llm_client.py: conversation labels in prompt builder - session_logger.py: **Name:** labels in session log markdown - memory_distiller.py: distillation system prompts (mid + long) - routers/nextcloud_talk.py: @mention prefix strip - routers/google_chat.py: greeting message Second instance scaffolding: - holly/: identity directory with placeholder files (USER_NAME=Holly, AGENT_NAME to be chosen by Holly) - cortex/.env.holly: config for Holly's instance on port 8001 - cortex-holly.service: systemd unit for the second instance No behavioural change to the Inara/Scott instance — defaults unchanged. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
63 lines
3.1 KiB
Plaintext
63 lines
3.1 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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# Each running instance has its own identity directory and name.
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# For a second instance (e.g. Holly), copy this file, change these values,
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# set a different PORT and INARA_DIR, and run a separate systemd unit.
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AGENT_NAME=Inara
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USER_NAME=Scott
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# ── Server ──────────────────────────────────────────────────────────────────
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HOST=0.0.0.0
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PORT=8000
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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" or "gemini" (other is always fallback)
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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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# ── 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=AIzaSyAnmzm31zO1kFkphxCkTnwgFizbfgB1JHI
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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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