save all

test/llamaindex/test_20250826_1.ipynb

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+{
+ "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

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+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
+}