diff --git a/README.md b/README.md
index c71f9297..4f7c96cd 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,7 @@
 
 ## 准备
 
-1. 提供 API 服务商的 API_KEY，并放置在 `src/.env` 文件中，参考 `src/.env.template`。默认使用的是智谱AI。需要配置 `ZHIPUAPI=<ZHIPU_KEY>`。
+1. 提供 API 服务商的 API_KEY，并放置在 `src/.env` 文件中，参考 `src/.env.template`。默认使用的是智谱AI。需要配置 `ZHIPUAI_API_KEY=<ZHIPU_KEY>`。
 2. 配置 python 环境 `pip install -r requirements.txt`，python 版本应当小于 `3.12`。
 3. 前端 UI 部分，需要安装 Node.js  环境，参考：[Download Node.js](https://nodejs.org/en/download/package-manager)。
 
diff --git a/src/.env.template b/src/.env.template
index 31b78c9d..3dfedca2 100644
--- a/src/.env.template
+++ b/src/.env.template
@@ -1,7 +1,2 @@
-DIFYAPI=optional
-DEEPSEEKAPI=optional
-ZHIPUAPI=optional
-QIANFAN_ACCESS_KEY=optional
-QIANFAN_SECRET_KEY=optional
-HF_ENDPOINT='https://hf-mirror.com'
+ZHIPUAI_API_KEY=
 CUDA_VISIBLE_DEVICES=0
\ No newline at end of file
diff --git a/src/models/README.md b/src/models/README.md
index 1594a285..5027489c 100644
--- a/src/models/README.md
+++ b/src/models/README.md
@@ -7,8 +7,8 @@
 |模型供应商(`config.model_provider`)|默认模型(`config.model_name`)|配置项目(`.env`)|
 |:-|:-|:-|
 |`qianfan`|`ernie_speed`|`QIANFAN_ACCESS_KEY`, `QIANFAN_SECRET_KEY`|
-|`zhipu`(default)|`glm-4`|`ZHIPUAPI`|
-|`deepseek`|`deepseek-chat`|`DEEPSEEKAPI`|
+|`zhipu`(default)|`glm-4`|`ZHIPUAI_API_KEY`|
+|`deepseek`|`deepseek-chat`|`DEEPSEEK_API_KEY`|
 |`vllm`|`vllm`|`VLLM_API_KEY`, `VLLM_API_BASE`|
 
 vllm 的具体配置项可以参考[这里](https://docs.vllm.ai/en/latest/serving/openai_compatible_server.html#named-arguments), 部署参考脚本：
@@ -36,7 +36,7 @@ python -m vllm.entrypoints.openai.api_server \
 |模型名称(`config.embed_model`)|默认路径/模型|需要配置项目（`config.model_local_paths`）|
 |:-|:-|:-|
 |`bge-large-zh-v1.5`|`BAAI/bge-large-zh-v1.5`|`bge-large-zh-v1.5`（*修改为本地路径）|
-|`zhipu`|`embedding-2`|`ZHIPUAPI` (`.env`)|
+|`zhipu`|`embedding-2`|`ZHIPUAI_API_KEY` (`.env`)|
 
 
 例如（`saves/config/config.yaml`）：
diff --git a/src/models/__init__.py b/src/models/__init__.py
index 8e1f6592..f941fbb5 100644
--- a/src/models/__init__.py
+++ b/src/models/__init__.py
@@ -32,6 +32,10 @@ def select_model(config):
         from src.models.chat_model import OpenModel
         return OpenModel(model_name)
 
+    elif model_provider == "siliconflow":
+        from src.models.chat_model import SiliconFlow
+        return SiliconFlow(model_name)
+
     elif model_provider is None:
         raise ValueError("Model provider not specified, please modify `model_provider` in `src/config/base.yaml`")
     else:
diff --git a/src/models/chat_model.py b/src/models/chat_model.py
index 2ed63c18..02e3a6d9 100644
--- a/src/models/chat_model.py
+++ b/src/models/chat_model.py
@@ -50,15 +50,15 @@ class OpenModel(OpenAIBase):
 class DeepSeek(OpenAIBase):
     def __init__(self, model_name=None):
         model_name = model_name or "deepseek-chat"
-        api_key = os.getenv("DEEPSEEKAPI")
+        api_key = os.getenv("DEEPSEEK_API_KEY")
         base_url = "https://api.deepseek.com"
         super().__init__(api_key=api_key, base_url=base_url, model_name=model_name)
 
 
 class Zhipu(OpenAIBase):
     def __init__(self, model_name=None):
-        model_name = model_name or "glm-4"
-        api_key = os.getenv("ZHIPUAPI")
+        model_name = model_name or "glm-4-flash"
+        api_key = os.getenv("ZHIPUAI_API_KEY")
         base_url = "https://open.bigmodel.cn/api/paas/v4/"
         super().__init__(api_key=api_key, base_url=base_url, model_name=model_name)
 
@@ -69,7 +69,12 @@ class VLLM(OpenAIBase):
         base_url = os.getenv("VLLM_API_BASE")
         super().__init__(api_key=api_key, base_url=base_url, model_name=model_name)
 
-
+class SiliconFlow(OpenAIBase):
+    def __init__(self, model_name=None):
+        model_name = model_name or "meta-llama/Meta-Llama-3.1-8B-Instruct"
+        api_key = os.getenv("SILICONFLOW_API_KEY")
+        base_url = "https://api.siliconflow.cn/v1"
+        super().__init__(api_key=api_key, base_url=base_url, model_name=model_name)
 
 
 class GeneralResponse:
@@ -119,11 +124,10 @@ class Qianfan:
 
 class DashScope:
 
-    def __init__(self, model_name="qwen-long") -> None:
+    def __init__(self, model_name="qwen-max-latest") -> None:
         self.model_name = model_name
         self.api_key= os.getenv("DASHSCOPE_API_KEY")
 
-
     def predict(self, message, stream=False):
         if isinstance(message, str):
             messages=[{"role": "user", "content": message}]
@@ -162,6 +166,6 @@ class DashScope:
 
 
 if __name__ == "__main__":
-    model = DashScope()
+    model = SiliconFlow()
     for a in model.predict("你好", stream=True):
-        print(a.content)
\ No newline at end of file
+        print(a.content, end="")
\ No newline at end of file
diff --git a/src/models/embedding.py b/src/models/embedding.py
index 1826ab27..55f55d32 100644
--- a/src/models/embedding.py
+++ b/src/models/embedding.py
@@ -52,7 +52,7 @@ class ZhipuEmbedding:
     def __init__(self, model_info, config) -> None:
         self.config = config
         self.model_info = model_info
-        self.client = ZhipuAI(api_key=os.getenv("ZHIPUAPI"))
+        self.client = ZhipuAI(api_key=os.getenv("ZHIPUAI_API_KEY"))
         logger.info("Zhipu Embedding model loaded")
         self.query_instruction_for_retrieval = "为这个句子生成表示以用于检索相关文章："