# Copy to .env and fill in. .env is git-ignored — never commit real keys.
# Every value below is read by orchestrator/config.py, agents/llms.py or agents/browseruse_runner.py;
# unset values fall back to the defaults shown in comments.

# --- Backbone provider ------------------------------------------------------------------------
# All reported datasets were collected through OpenRouter. The direct-provider registry entries
# (claude, gpt4o, gemini, qwen2vl) still exist for smoke tests; only the providers you run need a key.
OPENROUTER_API_KEY=
ANTHROPIC_API_KEY=
OPENAI_API_KEY=
GOOGLE_API_KEY=
HF_API_TOKEN=

# Backbone for the "openrouter" registry key (OpenAI-compatible path). Swap this together with
# SCT_DATASET to change backbone; no code edit. Values used for the reported datasets:
#   google/gemini-3.7-flash | openai/gpt-5.6-luna | qwen/qwen3-vl-235b-a22b-instruct
#   moonshotai/kimi-k2.6    | z-ai/glm-4.6v
OPENROUTER_MODEL=

# Backbone for the "claude_openrouter" registry key (Anthropic Messages path through OpenRouter,
# required for Claude — see agents/anthropic_openrouter.py). Default: anthropic/claude-sonnet-5.
# ANTHROPIC_MODEL=anthropic/claude-sonnet-5

# Pin the OpenRouter upstream (comma-separated tags, most preferred first) so a sweep is billed at
# one known price and served by one upstream. Tags are listed at
# https://openrouter.ai/api/v1/models/<author>/<slug>/endpoints . Unset = OpenRouter's own routing.
# Pins recorded for the reported datasets: google-vertex/global (gemini), openai (gpt),
# crusoe/bf16 (kimi), novita/bf16 (glm); qwen was not pinned.
# OPENROUTER_PROVIDER=

# Completion budget sent as OpenRouter `max_tokens`. browser-use's default of 4096 truncates the
# structured output of reasoning backbones on read-back-heavy pages; the reported sweeps used 16000.
# OPENROUTER_MAX_TOKENS=16000
# Cap thinking on a reasoning backbone: minimal | low | medium | high. gemini-3.7-flash ran at low.
# OPENROUTER_REASONING_EFFORT=

# Structured-output fallback for backbones WITHOUT strict json_schema support (z-ai/glm-4.6v).
# Set BOTH to 1 so browser-use puts the schema in the system prompt and stops forcing strict mode.
# OPENROUTER_SCHEMA_IN_PROMPT=1
# OPENROUTER_NO_FORCE_STRUCTURED=1
# Send response_format={"type":"json_object"} for backbones that support only that format.
# OPENROUTER_JSON_OBJECT=1

# Optional OpenRouter request metadata / endpoint override.
# OPENROUTER_BASE_URL=https://openrouter.ai/api/v1
# OPENROUTER_REFERER=
# OPENROUTER_TITLE=side-channel-testbed

# --- Experiment controls ----------------------------------------------------------------------
# Dataset namespace: every run reads and writes results/<SCT_DATASET>/. REQUIRED for a sweep.
# The attacker origin binds it at startup, so set it before scripts/serve.sh AND before the sweep.
SCT_DATASET=

# Standing privacy instruction added to every task: off | scoped | plain | strict.
# The sweep scripts default to scoped, which is what every reported dataset used.
# SCT_GUARD=scoped

# Wall-clock ceiling per session in seconds (runner default 600; run_final_sweep.sh sets 1200).
# SCT_SESSION_TIMEOUT_S=1200

# Bias controls that are OFF by default and were off for every reported dataset:
# SCT_STEP_COMPLETION=1      # append "the task is not done until the last step is done"
# SCT_SANDBOX_FRAMING=1      # tell the agent it is in a closed sandbox
# SCT_QUIET_AGENT=1          # silence browser-use's per-step console output

# --- Browser ----------------------------------------------------------------------------------
# Chrome/Chromium binary for browser-use (driven over CDP). Unset = the Chromium that browser-use
# downloads and manages itself. Every reported dataset used a system Chrome.
# BROWSER_EXECUTABLE_PATH=/usr/bin/google-chrome
# BROWSER_USE_LOGGING_LEVEL=info

# --- Testbed network (all loopback; closed environment) ---------------------------------------
# The agent's browser maps *.test to 127.0.0.1 with host-resolver rules; no /etc/hosts edits.
# Neutral probe host — avoid loaded names (e.g. "attacker") the agent would see in the URL.
ATTACKER_HOST=app.test
ATTACKER_PORT=8001
BANK_HOST=bank.test
BANK_PORT=8002
SERVICES_HOST=services.test
SERVICES_PORT=8004

# Where the agent is told the probe lives. Leave blank to derive from ATTACKER_HOST/PORT.
ATTACKER_BASE_URL=