save all

test/langchain/compatible/qwen.py

@@ -0,0 +1,14 @@
+from langchain_openai import ChatOpenAI
+import os
+
+chatLLM = ChatOpenAI(
+    api_key=os.getenv("DASHSCOPE_API_KEY"),
+    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
+    model="qwen-plus",  # 此处以qwen-plus为例，您可按需更换模型名称。模型列表：https://help.aliyun.com/zh/model-studio/getting-started/models
+    # other params...
+)
+messages = [
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": "你是谁？"}]
+response = chatLLM.invoke(messages)
+print(response.model_dump_json())

test/langchain/dashscope/qwen.py

@@ -0,0 +1,11 @@
+from langchain_community.chat_models.tongyi import ChatTongyi
+from langchain_core.messages import HumanMessage
+
+chatLLM = ChatTongyi(
+    model="qwen-max",   # 此处以qwen-max为例，您可按需更换模型名称。模型列表：https://help.aliyun.com/zh/model-studio/getting-started/models
+    streaming=True,
+    # other params...
+)
+res = chatLLM.stream([HumanMessage(content="hi")], streaming=True)
+for r in res:
+    print("chat resp:", r.content)

test/langchain/deepseek.py

@@ -0,0 +1,15 @@
+import getpass
+import os
+
+if not os.environ.get("DEEPSEEK_API_KEY"):
+  os.environ["DEEPSEEK_API_KEY"] = os.environ['DASHSCOPE_API_KEY']
+
+from langchain.chat_models import init_chat_model
+
+model = init_chat_model("deepseek-chat", model_provider="deepseek")
+
+messages = [
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": "你是谁？"}]
+response = model.invoke(messages)
+print(response.model_dump_json())