# opencode-devbox environment configuration
# Copy this file to .env and fill in your values:
#   cp .env.example .env

# ── LLM Provider ─────────────────────────────────────────────────────
# Which provider to auto-configure (anthropic, openai, amazon-bedrock)
OPENCODE_PROVIDER=anthropic

# Model override (optional, defaults per provider)
# OPENCODE_MODEL=anthropic/claude-sonnet-4-6

# ── API Keys (set the one matching your provider) ────────────────────
# ANTHROPIC_API_KEY=
# OPENAI_API_KEY=
# GEMINI_API_KEY=

# ── AWS Bedrock (if using amazon-bedrock provider) ───────────────────
# AWS_REGION=eu-west-1
# AWS_PROFILE=default
# AWS_ACCESS_KEY_ID=
# AWS_SECRET_ACCESS_KEY=

# ── Git Configuration ────────────────────────────────────────────────
GIT_USER_NAME=
GIT_USER_EMAIL=

# ── Workspace ────────────────────────────────────────────────────────
# Path on host to mount as /workspace in the container
WORKSPACE_PATH=~/projects

# Path to SSH keys on host
SSH_KEY_PATH=~/.ssh

# ── Skillset (agent skills and instructions) ─────────────────────────
# If you have a skillset repo, the entrypoint auto-deploys skills and
# instructions on container start using relative symlinks (portable
# across host/container).
#
# Detection is automatic if the skillset lives directly at the workspace
# root (i.e. WORKSPACE_PATH/skillset → /workspace/skillset in container).
#
# If the skillset lives in a subdirectory of your workspace, set
# SKILLSET_CONTAINER_PATH to its location *inside the container*. This
# is determined by the workspace mount: whatever is at
# WORKSPACE_PATH/<subpath> on the host becomes /workspace/<subpath>
# in the container.
#
# Examples:
#   Host skillset at ~/projects/skillset        → already at /workspace/skillset (auto-detected, no config needed)
#   Host skillset at ~/projects/tools/skillset  → SKILLSET_CONTAINER_PATH=/workspace/tools/skillset
#   Host skillset at ~/projects/local/skillset  → SKILLSET_CONTAINER_PATH=/workspace/local/skillset
#
# Alternatively, mount the skillset repo at a dedicated path using the
# SKILLSET_PATH volume in docker-compose.yml (see comments there). In
# that case the entrypoint finds it at ~/skillset automatically.
#
# SKILLSET_CONTAINER_PATH=

# ── Locale (defaults to en_US.UTF-8) ─────────────────────────────────
# LANG=sv_SE.UTF-8
# LANGUAGE=sv_SE:sv
# LC_ALL=sv_SE.UTF-8

# ── oh-my-opencode-slim (multi-agent orchestration) ──────────────────
# Requires image built with INSTALL_OMOS=true
# ENABLE_OMOS=false
# OMOS_TMUX=false              # Enable tmux multiplexer integration
# OMOS_SKILLS=true             # Install recommended skills (simplify, agent-browser, cartography)
# OMOS_RESET=false             # Force regenerate oh-my-opencode-slim config on next start

# ── pi coding-agent (alternative/complementary harness) ─────────────────
# Requires image built with INSTALL_PI=true.
# When the image is built with both INSTALL_OPENCODE=true (default) and
# INSTALL_PI=true, both harnesses share the same mempalace install and
# palace path — wing data is mutually visible to either harness.
#
# Pi version is baked at build time via PI_VERSION (default: latest at
# build). The baked `pi` binary is at /usr/bin/pi (system npm prefix);
# rebuild the image to upgrade it. NPM_CONFIG_PREFIX is set to
# /home/developer/.pi/npm-global, so anything installed via
# `pi install npm:...` or `npm install -g` as the developer user
# (themes, skills, extensions, including a user-installed pi itself)
# lands on the named volume and survives container recreate AND image
# rebuilds. A user-installed pi wins via PATH order over the baked one.
#
# Pi config (settings.json, extensions toggle state, sessions, auth) persists in the
# devbox-pi-config named volume mounted at ~/.pi/.
#
# To launch pi from a `compose run` invocation:
#   docker compose run --rm devbox pi
# To attach to a running container:
#   docker compose exec -u developer devbox pi
# Default `compose run` (no args) drops to bash; pick the harness yourself.
#
# Build args (set in docker-compose.yml or via --build-arg on docker build):
#   INSTALL_PI=true              # default false; opt-in
#   PI_VERSION=latest            # pin a specific version, e.g. 0.73.0
#   INSTALL_OPENCODE=false       # build a pi-only image (still has Bun in -omos)