Files
Cortex-Inara/.env.default
Scott Idem 97438f1a0f feat: multi-instance support — agent_name and user_name configurable
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>
2026-03-18 20:13:11 -04:00

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# Cortex .env reference — copy to .env and fill in values
# DO NOT commit .env — it contains secrets
# ── Agent identity ───────────────────────────────────────────────────────────
# Each running instance has its own identity directory and name.
# For a second instance (e.g. Holly), copy this file, change these values,
# set a different PORT and INARA_DIR, and run a separate systemd unit.
AGENT_NAME=Inara
USER_NAME=Scott
# ── Server ──────────────────────────────────────────────────────────────────
HOST=0.0.0.0
PORT=8000
# ── Nextcloud Talk bot ───────────────────────────────────────────────────────
NEXTCLOUD_URL=https://cloud.dgrzone.com
NEXTCLOUD_TALK_BOT_SECRET=
# ── LLM backends ────────────────────────────────────────────────────────────
# Primary backend: "claude" or "gemini" (other is always fallback)
PRIMARY_BACKEND=claude
# Timeouts in seconds
TIMEOUT_CLAUDE=60
TIMEOUT_GEMINI=120
# ── Orchestrator (Gemini API — not Gemini CLI) ───────────────────────────────
# Required for /orchestrate endpoint and tool use
# Free tier key: https://aistudio.google.com/apikey
GEMINI_API_KEY=AIzaSyAnmzm31zO1kFkphxCkTnwgFizbfgB1JHI
# Model for the orchestration tool loop (not the user-facing response)
ORCHESTRATOR_MODEL=gemini-2.5-flash
# Safety cap on tool loop iterations
ORCHESTRATOR_MAX_ROUNDS=10
# ── DuckDuckGo search ────────────────────────────────────────────────────────
# Leave blank for free unauthenticated tier
# Set to your API key for higher rate limits (paid DuckDuckGo account)
DDG_API_KEY=
DDG_MAX_RESULTS=5
# ── Aether Platform API ───────────────────────────────────────────────────────
# Used by orchestrator tools: ae_journal_search, ae_journal_entry_create, ae_task_list
# Same values as agents_sync/mcp/.env — copy from there
AE_API_URL=https://dev-api.oneskyit.com
AE_API_KEY=
AE_ACCOUNT_ID=
AE_API_TIMEOUT=15
# ── Distillation schedule ────────────────────────────────────────────────────
SCHEDULER_TIMEZONE=America/New_York
AUTO_DISTILL=true
AUTO_DISTILL_SHORT=true
AUTO_DISTILL_MID=true
AUTO_DISTILL_LONG=false # manual review recommended before enabling
# Memory tier token budgets (soft caps)
MEMORY_BUDGET_SHORT=3000
MEMORY_BUDGET_MID=2000
MEMORY_BUDGET_LONG=2000