save all

requirements.txt

@@ -1,2 +1,10 @@
 openai
-dashscope
+dashscope
+langchain
+langchain-deepseek
+langchain-community
+
+llama-index
+llama-index-core
+llama-index-llms-dashscope
+llama-index-indices-managed-dashscope

test/langchain/compatible/deepseek.py

@@ -0,0 +1,15 @@
+from langchain_openai import ChatOpenAI
+from langchain_deepseek import ChatDeepSeek
+import os
+
+chatLLM = ChatDeepSeek(
+    api_key=os.getenv("DASHSCOPE_API_KEY"),
+    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
+    model="deepseek-chat",  # 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/qwen.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("qwen-max", 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())

test/llamaindex/test_20250826_1.ipynb

@@ -0,0 +1,52 @@
+{
+ "cells": [
+  {
+   "metadata": {},
+   "cell_type": "raw",
+   "source": [
+    "from llama_index.llms.dashscope import DashScope\n",
+    "from llama_index.llms.openai import OpenAI\n",
+    "\n",
+    "llm = DashScope(model_name=\"qwen-max\") # 设置检索引擎生成回答时调用的大模型。"
+   ],
+   "id": "a5d3b9e1d4e6588f"
+  },
+  {
+   "cell_type": "code",
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true,
+    "jupyter": {
+     "is_executing": true
+    }
+   },
+   "source": [
+    "response = llm.complete(\"William Shakespeare is \")\n",
+    "print(response)"
+   ],
+   "outputs": [],
+   "execution_count": null
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

test/llamaindex/test_20250826_1.py

@@ -0,0 +1,41 @@
+from llama_index.core.base.llms.types import ChatMessage
+from llama_index.llms.dashscope import DashScope
+import asyncio
+
+llm = DashScope(model_name="qwen-max") # 设置检索引擎生成回答时调用的大模型。
+
+def test1():
+    response = llm.complete("William Shakespeare is ")
+    print(response)
+
+async def test2():
+    response = await llm.acomplete("William Shakespeare is ")
+    print(response)
+
+
+def test3():
+    response = llm.stream_complete("William Shakespeare is ")
+    for chunk in response:
+        print(chunk)
+
+def test4():
+    handle = llm.stream_complete("William Shakespeare is ")
+
+    for token in handle:
+        print(token.delta, end="", flush=True)
+
+
+def test5():
+    messages = [
+        ChatMessage(role="system", content="You are a helpful assistant."),
+        ChatMessage(role="user", content="Tell me a joke."),
+    ]
+    chat_response = llm.chat(messages)
+    print(chat_response)
+
+if __name__ == '__main__':
+    # test1()
+    # asyncio.run(test2())
+    # test3()
+    # test4()
+    test5()

test/llamaindex/test_20250826_2.ipynb

@@ -0,0 +1,44 @@
+{
+ "cells": [
+  {
+   "metadata": {},
+   "cell_type": "raw",
+   "source": "print(\"hello\")",
+   "id": "a5d3b9e1d4e6588f"
+  },
+  {
+   "cell_type": "code",
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true,
+    "jupyter": {
+     "is_executing": true
+    }
+   },
+   "source": "",
+   "outputs": [],
+   "execution_count": null
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}