Initial: integrated 2025 LawGraph (graphrag_pipeline) + 2026 kg_project

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-17 10:13:39 +08:00
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+# 环境变量配置说明
+
+## 创建 .env 文件
+
+在 `dofile` 目录下创建 `.env` 文件，添加以下配置：
+
+```bash
+# LLM API Keys
+OPENAI_API_KEY=your_openai_api_key_here
+ANTHROPIC_API_KEY=your_anthropic_api_key_here
+DASHSCOPE_API_KEY=your_dashscope_api_key_here
+VOLCENGINE_ACCESS_KEY=your_volcengine_access_key_here
+VOLCENGINE_SECRET_KEY=your_volcengine_secret_key_here
+ZHIPUAI_API_KEY=your_zhipuai_api_key_here
+
+# SiliconFlow API配置（硅基流动）
+SILICONFLOW_API_KEY=sk-pvvtosiglncktlucwarxilvsypqcttqizgpcfdvodgcuaezn
+SILICONFLOW_API_BASE=https://api.siliconflow.cn/v1
+
+# 路径配置
+DATA_DIR=../data
+OUTPUT_DIR=./output
+
+# 日志配置
+LOG_LEVEL=INFO
+
+# HanLP配置（可选）
+HANLP_MODEL_PATH=
+
+# LLM配置
+TEMPERATURE=0.4
+FREQUENCY_PENALTY=0.6
+PRESENCE_PENALTY=0.6
+
+# 文本处理配置
+MAX_TEXTUNIT_LENGTH=500
+```
+
+## 硅基流动配置
+
+硅基流动的API已经配置完成，您可以使用以下方式调用：
+
+```python
+from src.utils.llm_client import LLMClient, LLMProvider
+from src.utils.config import load_config
+
+config = load_config()
+client = LLMClient(
+    provider=LLMProvider.SILICONFLOW,
+    model="你的模型名称",  # 例如：Qwen/Qwen2.5-72B-Instruct
+    config=config
+)
+
+messages = [
+    {"role": "user", "content": "你好"}
+]
+response = client.chat(messages)
+print(response)
+```
+
+## 支持的模型
+
+硅基流动支持多种模型，常用的包括：
+- `Qwen/Qwen2.5-72B-Instruct`
+- `meta-llama/Llama-3.1-70B-Instruct`
+- `01-ai/Yi-1.5-34B-Chat`
+- 等等...
+
+具体可用模型请查看硅基流动官网：https://siliconflow.cn/
+
+
+
+