MicroFish/.env.example

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# LLM API配置支持 OpenAI SDK 格式的任意 LLM API
# 推荐使用阿里百炼平台qwen-plus模型https://bailian.console.aliyun.com/
# 注意消耗较大可先进行小于40轮的模拟尝试
LLM_API_KEY=your_api_key_here
LLM_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
LLM_MODEL_NAME=qwen-plus
# 也可使用 Atlas CloudOpenAI 兼容,一套 API 访问 DeepSeek / Qwen / GLM / Kimi / MiniMax 等)
# https://www.atlascloud.ai/ —— 把上面三个变量改为:
# LLM_API_KEY=your_atlascloud_api_key
# LLM_BASE_URL=https://api.atlascloud.ai/v1
# LLM_MODEL_NAME=deepseek-ai/deepseek-v4-pro # 推理模型max_tokens 请给足≥512
# ===== ZEP记忆图谱配置 =====
# 每月免费额度即可支撑简单使用https://app.getzep.com/
ZEP_API_KEY=your_zep_api_key_here
# ===== 加速 LLM 配置(可选)=====
# 注意如果不使用加速配置env文件中就不要出现下面的配置项
LLM_BOOST_API_KEY=your_api_key_here
LLM_BOOST_BASE_URL=your_base_url_here
LLM_BOOST_MODEL_NAME=your_model_name_here