Update prompts and add ReAct agent info

app.py

@@ -177,7 +177,7 @@ with gr.Blocks() as demo:
 
     # Input field to test agent
     gr.Markdown("""
-        # Basic Agent Evaluation Runner
+        # Test the Agent
 
         Test the agent by submitting custom tasks and questions.
         """

basic_agent.py

@@ -9,6 +9,7 @@ from llama_index.readers.web import SimpleWebPageReader
 from llama_index.core.tools.ondemand_loader_tool import OnDemandLoaderTool
 from langfuse.llama_index import LlamaIndexInstrumentor
 from llama_index.llms.ollama import Ollama
+from llama_index.core.agent.workflow import ReActAgent
 
 class BasicAgent:
     def __init__(self, ollama=False, langfuse=True):
@@ -48,18 +49,22 @@ class BasicAgent:
         )
 
         # Create Alfred with all the tools
-        self.agent = AgentWorkflow.from_tools_or_functions(
-            wiki_search_tool_las + [search_tool], # webpage_tool does not work properly - cookies etc
+        self.agent = AgentWorkflow.from_tools_or_functions( # ReActAgent( 
+            wiki_spec.to_tool_list(), # webpage_tool does not work properly - cookies etc
             llm=llm,
-            verbose=True,
-            system_prompt=("You are a helpful agent that can search Wikipedia and the Internet for answers. "
-                           "Please be concise when answering questions and make sure your final outputs are relevant to the question.")
+            verbose=True
         )
 
         # self.ctx = Context(self.agent)
 
     async def __call__(self, question: str) -> str:
-        response = await self.agent.run(user_msg=question) # ctx=self.ctx)
+        prompt = (
+            "Reply to the user's question below by using tools if necessary. "
+            "Only output the answer to the question, no additional information or explanations. "
+            f"Question: {question}"
+        )
+        print(prompt)
+        response = await self.agent.run(user_msg=prompt) # ctx=self.ctx)
 
         if self.langfuse:
             self.instrumentor.flush()