# ── Required ──────────────────────────────────────────────────────────────────

# ── Backend-related (set the ones you plan to use) ────────────────────────────

# Option 1: E2B backend
# E2B sandbox access (https://e2b.dev)
E2B_API_KEY=

# Option 2: Docker on Local (no environment variables)

# Option 3: Docker on Cloud
REMOTE_DOCKER_POOL_FILE=~/.config/gui-synth-env/tencentcloud/worker_pool.json
DOCKER_ENV_IMAGE=# Set this to the image URI printed by your provider `setup_prereqs.py` (`ecr_image_uri` on AWS, `docker_image_uri` on Tencent Cloud)
# REMOTE_DOCKER_API_TOKEN=replace-with-random-secret

# Option 3A: AWS Provider
AWS_PROFILE=                  # If using AWS SSO, set this to the profile created by `aws configure sso`
AWS_REGION=                   # Required AWS deployment region for OpenComputer resources, for example: us-east-1
AWS_NAME_PREFIX=              # Required naming prefix for repo / role / bootstrap paths, for example: opencomputer-dev
AWS_CONTROLLER_CIDR=          # Required narrow controller ingress CIDR. Usually your current public IP with /32; see computer_env/provision/aws/README.md

AWS_WORKER_INSTANCE_TYPE=m6i.2xlarge
AWS_WORKER_COUNT=1
AWS_CONTAINERS_PER_WORKER=6  # Recommended starting value; if unset, the code default is 2

# AWS_S3_BUCKET=              # Optional explicit bucket name; setup_prereqs.py creates it if missing. Leave empty to derive ${AWS_NAME_PREFIX}-assets-<account_id>
# AWS_VPC_ID=                 # Optional explicit VPC. Leave empty to use the region's default VPC when one can be resolved
# AWS_SUBNET_ID=              # Optional explicit subnet. Leave empty to use a default subnet in that VPC when one can be resolved
# AWS_ECR_REPOSITORY=         # Optional override. If unset, scripts derive ${AWS_NAME_PREFIX}-desktop
# AWS_INSTANCE_PROFILE_NAME=  # Optional override. If unset, scripts derive ${AWS_NAME_PREFIX}-worker
# AWS_BOOTSTRAP_PREFIX=       # Optional override. If unset, scripts derive bootstrap/${AWS_NAME_PREFIX}

# AWS_DEBUG_ACCESS=SSM
# AWS_WORKER_ROOT_VOLUME_SIZE_GB=64


# Option 3B: Docker on Cloud (Tencent Cloud China + TCR Personal)
# The runtime backend stays `remote_docker`; these variables only drive provisioning.
# Use Tencent Cloud China credentials via environment variables or ~/.tencentcloud/credentials.
TENCENTCLOUD_SECRET_ID=
TENCENTCLOUD_SECRET_KEY=
# TENCENTCLOUD_SESSION_TOKEN=

TENCENTCLOUD_REGION=ap-guangzhou
TENCENTCLOUD_NAME_PREFIX=opencomputer-dev
TENCENTCLOUD_CONTROLLER_CIDR=
TENCENTCLOUD_CVM_ZONE=ap-guangzhou-6
TENCENTCLOUD_CVM_IMAGE_ID=img-487zeit5
TENCENTCLOUD_CVM_INSTANCE_TYPE=S5.LARGE8
TENCENTCLOUD_WORKER_COUNT=1
TENCENTCLOUD_CONTAINERS_PER_WORKER=6
# TENCENTCLOUD_CVM_BANDWIDTH_OUT_Mbps=20
# TENCENTCLOUD_CVM_SYSTEM_DISK_SIZE_GB=64
TENCENTCLOUD_VPC_ID=vpc-xxxxxxxx
TENCENTCLOUD_SUBNET_ID=subnet-xxxxxxxx
# TENCENTCLOUD_COS_BUCKET=
# TENCENTCLOUD_COS_PREFIX=bootstrap/opencomputer-dev
TENCENTCLOUD_ACCOUNT_UIN=100012345678
# TENCENTCLOUD_TCR_PERSONAL_SERVER=ccr.ccs.tencentyun.com
# TENCENTCLOUD_TCR_PERSONAL_NAMESPACE=oc-123456-opencomputer-dev
# TENCENTCLOUD_TCR_PERSONAL_REPOSITORY=desktop
TENCENTCLOUD_TCR_PERSONAL_PASSWORD=replace-with-strong-password


# ── Agent API keys (set the ones you plan to use) ────────────────────────────

# OpenAI — used for LLM judge (default judge model: gpt-5.4)
OPENAI_API_KEY=

# Anthropic — required for Claude agents
# ANTHROPIC_API_KEY=

# Kimi — required for Kimi agents such as kimi-k2.6
# KIMI_API_KEY=

# Google AI Studio — required for gemini-3-flash / gemini-2.5-computer-use agents
# google_ai_studio_api_key=

# ── Optional overrides ───────────────────────────────────────────────────────

# Custom OpenAI-compatible endpoint (e.g. local vLLM, proxy, or cluster)
# OPENAI_BASE_URL=http://127.0.0.1:8001/v1

# Azure OpenAI (for `azure-*` chatgpt agents). Endpoint defaults to the
# resource baked into agents/chatgpt_agent.py; override here if needed.
# azure_api_key=
# AZURE_OPENAI_ENDPOINT=https://YOUR-RESOURCE.cognitiveservices.azure.com/

# Custom E2B domain (if self-hosting)
# E2B_DOMAIN=


# Default backend for smoke/smoke_loop.py. Default: claude, accept codex as well
# SMOKE_BACKEND=claude

# ── Smoke pipeline overrides (smoke/smoke_loop.py) ───────────────────────────

# GUI agent model used to execute smoke tasks inside the sandbox.
# Override with --model on the CLI, or set it here. Default: kimi-k2.6
# SMOKE_MODEL=kimi-k2.6

# Maximum agent steps per smoke task run. Default: 100
# SMOKE_MAX_ITERATIONS=100

# Maximum repair rounds (judge → comparator → repair) per task. Default: 3
# SMOKE_MAX_ROUNDS=3

# Sandbox lifetime in seconds for each smoke task. Default: 3600
# SMOKE_SANDBOX_TIMEOUT=3600

# Cap on the number of smoke tasks generated/run per app. Default: 20
# SMOKE_MAX_TASKS=20

# ── AWS (only needed for S3-based env file storage) ──────────────────────────

# aws_access_key=
# aws_secret_key=
# aws_region=us-east-1

# ── Database (only needed for result persistence) ────────────────────────────

# POSTGRES_CONNECTION_STRING=postgresql://user:pass@host:5432/dbname