# Docker (recommended eval)
# 1) unzip the downloaded bundle somewhere, e.g. C:\irndom_install
cd "C:\path\to\irndom_install"

# 2) start iRNDOM demo (UI + API)
docker compose pull
docker compose up -d

docker compose ps

# 3) open the local demo UI
start http://localhost:7071/demo

# 4) run smoke tests
powershell -ExecutionPolicy Bypass -File .\smoke_test.ps1

# 5) optional: enterprise proof run (customer POV)
#    Runs protect -> vendor LLM -> internal restore + attacker blocks,
#    prints success rate + latency + audit event counts (screenshot this output).
#    Requires internet + LLM_API_KEY (any OpenAI-compatible endpoint). Only Safe Labels™ are sent to the vendor LLM.
# Vendor LLM key (any OpenAI-compatible endpoint)
$env:LLM_API_KEY = "YOUR_LLM_KEY_HERE"
# Optional:
# $env:LLM_BASE_URL = "https://api.openai.com/v1/chat/completions"
# $env:LLM_MODEL = "gpt-4o-mini"
powershell -ExecutionPolicy Bypass -File .\pressproof.ps1 -N 5


# stop when done
docker compose down

# Prereqs: Docker installed + running

# 1) Unzip the bundle you downloaded
unzip irndom_install_package.zip -d irndom_install_package
cd irndom_install_package

# 2) Start the local eval (UI + API)
docker compose pull
docker compose up -d

docker compose ps

# 3) Open the local UI
open http://localhost:7071  # macOS
# xdg-open http://localhost:7071  # Linux

# 4) Smoke test
bash ./smoke_test.sh

# 5) optional: enterprise proof run (customer POV)
#    Runs protect -> vendor LLM -> internal restore + attacker blocks,
#    prints success rate + latency + audit event counts (screenshot this output).
#    Requires internet + LLM_API_KEY (any OpenAI-compatible endpoint). Only Safe Labels™ are sent to the vendor LLM.
# Vendor LLM key (any OpenAI-compatible endpoint)
export LLM_API_KEY="YOUR_LLM_KEY_HERE"
# Optional:
# export LLM_BASE_URL="https://api.openai.com/v1/chat/completions"
# export LLM_MODEL="gpt-4o-mini"
pwsh ./pressproof.ps1 -N 5

# OR:
python3 ./smoke_test.py

# 6) Stop
docker compose down