# Lexsi agent-deployment config (this is the `config.yaml` you paste into the
# platform's deployment step). Single Gradio container, exposed on the public
# *.lexsi.ai URL via port 7850 (host AND container) — the platform's rule for
# the one publicly-exposed service.
#
# Workflow:
#   1. docker buildx build --platform linux/amd64 -t bplexsi/lexsi-ds-agent:prod_v1 --push .
#   2. Paste this file into the platform's config.yaml.
#   3. Fill the real secret values in `environment:` on the platform (do NOT
#      commit real tokens to git).

services:

  ds-agent:
    image: bplexsi/lexsi-ds-agent:prod_v3
    restart: unless-stopped
    ports:
      - "7850:7850"          # REQUIRED: the single public-URL container
    environment:
      # --- Lexsi backend credentials (set these on the platform) ---
      SDK_ACCESS_TOKEN: "REPLACE_WITH_YOUR_SDK_ACCESS_TOKEN"
      LEXSI_ORG_NAME: "personal"
      LEXSI_WORKSPACE_NAME: "REPLACE_WITH_YOUR_WORKSPACE"
      # Text LLM project (the planner/summariser). Omit to fall back to stub.
      LEXSI_TEXT_PROJECT_NAME: "REPLACE_WITH_YOUR_TEXT_PROJECT"
      LEXSI_TEXT_MODEL: "gpt-5.2_v1"
      LEXSI_TEXT_PROVIDER: "OpenAI"
      # Tabular projects are created PER RUN (and auto-deleted unless persisted),
      # so no LEXSI_TABULAR_* project names are needed.
      # --- Optional UI tuning ---
      LEXSI_UI_RUN_TIMEOUT_S: "1800"   # max run time = 30 min (1800s)
    healthcheck:
      test: ["CMD-SHELL", "curl -sf http://localhost:7850/ || exit 1"]
      interval: 30s
      timeout: 5s
      retries: 5
      start_period: 60s