Fixed agent&awel examples

dbgpt/rag/embedding/embeddings.py

@@ -803,9 +803,10 @@ def embed_query(self, text: str) -> List[float]:
                 "Please install ollama by command `pip install ollama"
             ) from e
         try:
-            return (
-                Client(self.api_url).embeddings(model=self.model_name, prompt=text)
-            )["embedding"]
+            embedding = Client(self.api_url).embeddings(
+                model=self.model_name, prompt=text
+            )
+            return list(embedding["embedding"])
         except ollama.ResponseError as e:
             raise ValueError(f"**Ollama Response Error, Please CheckErrorInfo.**: {e}")
 
@@ -839,7 +840,7 @@ async def aembed_query(self, text: str) -> List[float]:
             embedding = await AsyncClient(host=self.api_url).embeddings(
                 model=self.model_name, prompt=text
             )
-            return embedding["embedding"]
+            return list(embedding["embedding"])
         except ollama.ResponseError as e:
             raise ValueError(f"**Ollama Response Error, Please CheckErrorInfo.**: {e}")
 

examples/__main__.py

@@ -0,0 +1,32 @@
+# TODO add example run code here
+
+import asyncio
+
+# Agents examples
+from .agents.auto_plan_agent_dialogue_example import main as auto_plan_main
+from .agents.awel_layout_agents_chat_examples import main as awel_layout_main
+from .agents.custom_tool_agent_example import main as custom_tool_main
+from .agents.plugin_agent_dialogue_example import main as plugin_main
+from .agents.retrieve_summary_agent_dialogue_example import (
+    main as retrieve_summary_main,
+)
+from .agents.sandbox_code_agent_example import main as sandbox_code_main
+from .agents.single_agent_dialogue_example import main as single_agent_main
+from .agents.sql_agent_dialogue_example import main as sql_main
+
+if __name__ == "__main__":
+
+    # Run the examples
+
+    ## Agent examples
+    asyncio.run(auto_plan_main())
+    asyncio.run(awel_layout_main())
+    asyncio.run(custom_tool_main())
+    asyncio.run(retrieve_summary_main())
+    asyncio.run(plugin_main())
+    asyncio.run(sandbox_code_main())
+    asyncio.run(single_agent_main())
+    asyncio.run(sql_main())
+
+    ## awel examples
+    print("hello world!")

examples/agents/auto_plan_agent_dialogue_example.py

@@ -5,9 +5,9 @@
         Execute the following command in the terminal:
         Set env params.
         .. code-block:: shell
-
-            export OPENAI_API_KEY=sk-xx
-            export OPENAI_API_BASE=https://xx:80/v1
+            
+            export SILICONFLOW_API_KEY=sk-xx
+            export SILICONFLOW_API_BASE=https://xx:80/v1
 
         run example.
         ..code-block:: shell
@@ -33,13 +33,14 @@
 
 
 async def main():
-    from dbgpt.model.proxy import OpenAILLMClient
+    from dbgpt.model.proxy.llms.siliconflow import SiliconFlowLLMClient
 
     agent_memory = AgentMemory()
-    from dbgpt.model.proxy.llms.tongyi import TongyiLLMClient
 
-    llm_client = TongyiLLMClient(
-        model_alias="qwen2-72b-instruct",
+    llm_client = SiliconFlowLLMClient(
+        model_alias=os.getenv(
+            "SILICONFLOW_MODEL_VERSION", "Qwen/Qwen2.5-Coder-32B-Instruct"
+        ),
     )
 
     context: AgentContext = AgentContext(

examples/agents/awel_layout_agents_chat_examples.py

@@ -6,14 +6,13 @@
         Set env params.
         .. code-block:: shell
 
-            export OPENAI_API_KEY=sk-xx
-            export OPENAI_API_BASE=https://xx:80/v1
+            export SILICONFLOW_API_KEY=sk-xx
+            export SILICONFLOW_API_BASE=https://xx:80/v1
 
         run example.
         ..code-block:: shell
             python examples/agents/awel_layout_agents_chat_examples.py
 """
-
 import asyncio
 import os
 
@@ -34,15 +33,16 @@
 
 
 async def main():
-    from dbgpt.model.proxy import OpenAILLMClient
 
     agent_memory = AgentMemory()
     agent_memory.gpts_memory.init(conv_id="test456")
     try:
-        from dbgpt.model.proxy.llms.tongyi import TongyiLLMClient
+        from dbgpt.model.proxy.llms.siliconflow import SiliconFlowLLMClient
 
-        llm_client = TongyiLLMClient(
-            model_alias="qwen2-72b-instruct",
+        llm_client = SiliconFlowLLMClient(
+            model_alias=os.getenv(
+                "SILICONFLOW_MODEL_VERSION", "Qwen/Qwen2.5-Coder-32B-Instruct"
+            ),
         )
 
         context: AgentContext = AgentContext(conv_id="test456", gpts_app_name="信息析助手")

examples/agents/custom_tool_agent_example.py

@@ -44,12 +44,17 @@ def count_directory_files(path: Annotated[str, Doc("The directory path")]) -> in
 
 
 async def main():
-    from dbgpt.model.proxy import OpenAILLMClient
-
-    llm_client = OpenAILLMClient(model_alias="gpt-3.5-turbo")
-    context: AgentContext = AgentContext(conv_id="test456")
+    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="工具助手")
 
     tools = ToolPack([simple_calculator, count_directory_files])
 
@@ -77,7 +82,7 @@ async def main():
     )
 
     # dbgpt-vis message infos
-    print(await agent_memory.gpts_memory.one_chat_completions("test456"))
+    print(await agent_memory.gpts_memory.app_link_chat_message("test456"))
 
 
 if __name__ == "__main__":

examples/agents/plugin_agent_dialogue_example.py

@@ -6,8 +6,8 @@
         Set env params.
         .. code-block:: shell
 
-            export OPENAI_API_KEY=sk-xx
-            export OPENAI_API_BASE=https://xx:80/v1
+            export SILICONFLOW_API_KEY=sk-xx
+            export SILICONFLOW_API_BASE=https://xx:80/v1
 
         run example.
         ..code-block:: shell
@@ -20,19 +20,24 @@
 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
 
-current_dir = os.getcwd()
-parent_dir = os.path.dirname(current_dir)
-test_plugin_dir = os.path.join(parent_dir, "test_files/plugins")
+test_plugin_dir = os.path.join(ROOT_PATH, "examples/test_files/plugins")
 
 
 async def main():
-    from dbgpt.model.proxy import OpenAILLMClient
+    from dbgpt.model.proxy.llms.siliconflow import SiliconFlowLLMClient
 
-    llm_client = OpenAILLMClient(model_alias="gpt-3.5-turbo")
-    context: AgentContext = AgentContext(conv_id="test456")
+    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)
 
@@ -54,7 +59,7 @@ async def main():
     )
 
     # dbgpt-vis message infos
-    print(await agent_memory.gpts_memory.one_chat_completions("test456"))
+    print(await agent_memory.gpts_memory.app_link_chat_message("test456"))
 
 
 if __name__ == "__main__":

examples/agents/retrieve_summary_agent_dialogue_example.py

@@ -6,8 +6,8 @@
         Set env params.
         .. code-block:: shell
 
-            export OPENAI_API_KEY=sk-xx
-            export OPENAI_API_BASE=https://xx:80/v1
+            export SILICONFLOW_API_KEY=sk-xx
+            export SILICONFLOW_API_BASE=https://xx:80/v1
 
         run example.
         ..code-block:: shell
@@ -18,20 +18,27 @@
 import os
 
 from dbgpt.agent import AgentContext, AgentMemory, LLMConfig, UserProxyAgent
-from dbgpt.agent.expand.retrieve_summary_assistant_agent import (
-    RetrieveSummaryAssistantAgent,
-)
+from dbgpt.agent.expand.summary_assistant_agent import SummaryAssistantAgent
 from dbgpt.configs.model_config import ROOT_PATH
 
 
-async def summary_example_with_success():
-    from dbgpt.model.proxy import OpenAILLMClient
+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"
+        ),
+    )
+    context: AgentContext = AgentContext(
+        conv_id="retrieve_summarize", gpts_app_name="Summary Assistant"
+    )
 
-    llm_client = OpenAILLMClient(model_alias="gpt-3.5-turbo-16k")
-    context: AgentContext = AgentContext(conv_id="retrieve_summarize")
     agent_memory = AgentMemory()
+    agent_memory.gpts_memory.init(conv_id="retrieve_summarize")
+
     summarizer = (
-        await RetrieveSummaryAssistantAgent()
+        await SummaryAssistantAgent()
         .bind(context)
         .bind(LLMConfig(llm_client=llm_client))
         .bind(agent_memory)
@@ -47,6 +54,7 @@ async def summary_example_with_success():
         "https://en.wikipedia.org/wiki/Chernobyl_disaster",
     ]
 
+    # TODO add a tool to load the pdf and internet files
     await user_proxy.initiate_chat(
         recipient=summarizer,
         reviewer=user_proxy,
@@ -55,11 +63,8 @@ async def summary_example_with_success():
     )
 
     # dbgpt-vis message infos
-    print(await agent_memory.gpts_memory.one_chat_completions("retrieve_summarize"))
+    print(await agent_memory.gpts_memory.app_link_chat_message("retrieve_summarize"))
 
 
 if __name__ == "__main__":
-    asyncio.run(summary_example_with_success())
-    print(
-        "\033[92m=======================The Summary Assistant with Successful Results Ended==================\n\n\033[91m"
-    )
+    asyncio.run(main())

examples/agents/sandbox_code_agent_example.py

@@ -10,9 +10,9 @@
 environment. The code execution environment is isolated from the host system,
 preventing access to the internet and other external resources.
 """
-
 import asyncio
 import logging
+import os
 from typing import Optional, Tuple
 
 from dbgpt.agent import (
@@ -270,11 +270,28 @@ async def correctness_check(
 
 
 async def main():
-    from dbgpt.model.proxy import OpenAILLMClient
+    from dbgpt.model.proxy.llms.siliconflow import SiliconFlowLLMClient
 
-    llm_client = OpenAILLMClient(model_alias="gpt-4o-mini")
+    llm_client = SiliconFlowLLMClient(
+        model_alias=os.getenv(
+            "SILICONFLOW_MODEL_VERSION", "Qwen/Qwen2.5-Coder-32B-Instruct"
+        ),
+    )
     context: AgentContext = AgentContext(conv_id="test123")
-    agent_memory = AgentMemory(HybridMemory[AgentMemoryFragment].from_chroma())
+
+    # TODO Embedding and Rerank model refactor
+    from dbgpt.rag.embedding import OpenAPIEmbeddings
+
+    silicon_embeddings = OpenAPIEmbeddings(
+        api_url=os.getenv("SILICONFLOW_API_BASE") + "/embeddings",
+        api_key=os.getenv("SILICONFLOW_API_KEY"),
+        model_name="BAAI/bge-large-zh-v1.5",
+    )
+    agent_memory = AgentMemory(
+        HybridMemory[AgentMemoryFragment].from_chroma(
+            embeddings=silicon_embeddings,
+        )
+    )
     agent_memory.gpts_memory.init("test123")
 
     coder = (

examples/agents/single_agent_dialogue_example.py

@@ -17,28 +17,21 @@
 import asyncio
 import os
 
-from dbgpt.agent import (
-    AgentContext,
-    AgentMemory,
-    AgentMemoryFragment,
-    HybridMemory,
-    LLMConfig,
-    UserProxyAgent,
-)
+from dbgpt.agent import AgentContext, AgentMemory, LLMConfig, UserProxyAgent
 from dbgpt.agent.expand.code_assistant_agent import CodeAssistantAgent
 
 
 async def main():
-    from dbgpt.model.proxy import OpenAILLMClient
+    from dbgpt.model.proxy.llms.siliconflow import SiliconFlowLLMClient
 
-    # llm_client = OpenAILLMClient(model_alias="gpt-3.5-turbo")
-    from dbgpt.model.proxy.llms.tongyi import TongyiLLMClient
-
-    llm_client = TongyiLLMClient(
-        model_alias="qwen2-72b-instruct",
+    llm_client = SiliconFlowLLMClient(
+        model_alias=os.getenv(
+            "SILICONFLOW_MODEL_VERSION", "Qwen/Qwen2.5-Coder-32B-Instruct"
+        ),
     )
 
-    context: AgentContext = AgentContext(conv_id="test123")
+    context: AgentContext = AgentContext(conv_id="test123", gpts_app_name="代码助手")
+
     agent_memory = AgentMemory()
     agent_memory.gpts_memory.init(conv_id="test123")
     try: