MicroFish/.env.example

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# ===== LLM Configuration =====
# Supports any OpenAI-compatible API. Three options:
# --- Option A: Ollama Cloud (recommended) ---
# 1. Create an API key: https://ollama.com/settings/keys
# 2. Pick a cloud model from: https://ollama.com/search?c=cloud
LLM_API_KEY=your_ollama_api_key_here
LLM_BASE_URL=https://ollama.com/v1
LLM_MODEL_NAME=qwen3.5:397b
# --- Option B: Local Ollama ---
# 1. Install Ollama: https://ollama.com
# 2. Pull a model: ollama pull qwen2.5:7b
# LLM_API_KEY=ollama
# LLM_BASE_URL=http://localhost:11434/v1
# LLM_MODEL_NAME=qwen2.5:7b
# --- Option C: Other cloud providers (OpenAI, DeepSeek, Alibaba Bailian, etc.) ---
# LLM_API_KEY=your_cloud_api_key
# LLM_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
# LLM_MODEL_NAME=qwen-plus
# ===== Optional: Boost LLM (faster/cheaper model for high-volume agent calls) =====
# If you don't use this, DELETE these lines entirely — leaving placeholders breaks things.
# LLM_BOOST_API_KEY=
# LLM_BOOST_BASE_URL=
# LLM_BOOST_MODEL_NAME=
# ===== Optional: Flask / Simulation config =====
# FLASK_DEBUG=True
# OASIS_DEFAULT_MAX_ROUNDS=10