# =============================================================================
# AI-Trader Environment Configuration
# =============================================================================
# Copy this file to .env and fill in your actual values
# Docker Compose automatically reads .env from project root

# AI Model API Configuration
# OPENAI_API_BASE: Leave empty to use default OpenAI endpoint, or set to custom proxy URL
OPENAI_API_BASE=
OPENAI_API_KEY=your_openai_key_here # https://platform.openai.com/api-keys

# Data Source Configuration
ALPHAADVANTAGE_API_KEY=your_alphavantage_key_here  # https://www.alphavantage.co/support/#api-key
JINA_API_KEY=your_jina_key_here # https://jina.ai/

# System Configuration (Docker default paths)
RUNTIME_ENV_PATH=/app/data/runtime_env.json

# MCP Service Host Ports (exposed on host machine)
# Container always uses 8000-8003 internally
# Change these if you need different ports on your host
MATH_HTTP_PORT=8000
SEARCH_HTTP_PORT=8001
TRADE_HTTP_PORT=8002
GETPRICE_HTTP_PORT=8003

# API Server Port (exposed on host machine for REST API)
# Container ALWAYS uses port 8080 internally (hardcoded in entrypoint.sh)
# This variable ONLY controls the host port mapping (host:API_PORT -> container:8080)
# Change this if port 8080 is already in use on your host machine
# Example: API_PORT=8889 if port 8080 is occupied by another service
# Used for Windmill integration and external API access
API_PORT=8080

# Web Interface Host Port (exposed on host machine)
# Container always uses 8888 internally
WEB_HTTP_PORT=8888

# Agent Configuration
AGENT_MAX_STEP=30

# Data Volume Configuration
# Base directory for all persistent data (will contain data/, logs/, configs/ subdirectories)
# Use relative paths (./volumes) or absolute paths (/home/user/ai-trader-volumes)
# Defaults to current directory (.) if not set
VOLUME_PATH=.