chore: import upstream snapshot with attribution

examples/agents/plugin_agent_dialogue_example.py

@@ -0,0 +1,68 @@
+"""Agents: single agents about CodeAssistantAgent?
+
+Examples:
+
+    Execute the following command in the terminal:
+    Set env params.
+    .. code-block:: shell
+
+        export SILICONFLOW_API_KEY=sk-xx
+        export SILICONFLOW_API_BASE=https://xx:80/v1
+
+    run example.
+    ..code-block:: shell
+        python examples/agents/plugin_agent_dialogue_example.py
+"""
+
+import asyncio
+import os
+
+from dbgpt.agent import AgentContext, AgentMemory, LLMConfig, UserProxyAgent
+from dbgpt.agent.expand.tool_assistant_agent import ToolAssistantAgent
+from dbgpt.agent.resource import AutoGPTPluginToolPack
+from dbgpt.configs.model_config import ROOT_PATH
+
+test_plugin_dir = os.path.join(ROOT_PATH, "examples/test_files/plugins")
+
+
+async def main():
+    from dbgpt.model.proxy.llms.siliconflow import SiliconFlowLLMClient
+
+    llm_client = SiliconFlowLLMClient(
+        model_alias=os.getenv(
+            "SILICONFLOW_MODEL_VERSION", "Qwen/Qwen2.5-Coder-32B-Instruct"
+        ),
+    )
+
+    agent_memory = AgentMemory()
+    agent_memory.gpts_memory.init(conv_id="test456")
+
+    context: AgentContext = AgentContext(
+        conv_id="test456", gpts_app_name="插件对话助手"
+    )
+
+    tools = AutoGPTPluginToolPack(test_plugin_dir)
+
+    user_proxy = await UserProxyAgent().bind(agent_memory).bind(context).build()
+
+    tool_engineer = (
+        await ToolAssistantAgent()
+        .bind(context)
+        .bind(LLMConfig(llm_client=llm_client))
+        .bind(agent_memory)
+        .bind(tools)
+        .build()
+    )
+
+    await user_proxy.initiate_chat(
+        recipient=tool_engineer,
+        reviewer=user_proxy,
+        message="查询今天成都的天气",
+    )
+
+    # dbgpt-vis message infos
+    print(await agent_memory.gpts_memory.app_link_chat_message("test456"))
+
+
+if __name__ == "__main__":
+    asyncio.run(main())