Update agent.py

agent.py

@@ -355,49 +355,62 @@ tools = [python_repl_tool,
           download_file_from_url,
           file_reader_with_LLM,
           file_reader]
+class EsiAgent:
+    def __init__(self):
+        # 1) Instantiate the LLM
+        llm = ChatOpenAI(
+            openai_api_key=GPT_4o_API_KEY,
+            base_url="https://openrouter.ai/api/v1",
+            temperature=0,
+            max_tokens=256
+        )
+        # 2) Bind your tools
+        llm_with_tools = llm.bind_tools(tools)
+
+        # 3) Single system message
+        self.sys_msg = SystemMessage(content=SYSTEM_PROMPT)
+
+        # 4) Assistant node
+        def assistant(state):
+            # Prepend sys_msg only if it's not already there
+            return {"messages": [llm_with_tools.invoke(state["messages"])]}
+
+        # 5) Build the graph
+        builder = StateGraph(MessagesState)
+        builder.add_node("assistant", assistant)
+        builder.add_node("tools", ToolNode(tools))
+        builder.add_edge(START, "assistant")
+        builder.add_conditional_edges("assistant", tools_condition)
+        builder.add_edge("tools", "assistant")
+
+        # 6) Compile once
+        self.graph = builder.compile()
+
+
+    def run(self, question: str, files=None, level: int = 1) -> str:
+        """
+        Wraps graph.invoke to run end-to-end on a plain question.
+        """
+        # Build a minimal GAIA payload (if your MessagesState expects more, adjust here)
+        initial_state = {
+            "messages": [HumanMessage(content=question)] + [self.sys_msg]
 
-# Build graph function
-def EsiAgent(provider: str = "groq"):
-    """Build the graph"""
-
-    llm = ChatOpenAI(openai_api_key=GPT_4o_API_KEY,
-                    base_url="https://openrouter.ai/api/v1",
-                    # model_name="gpt-4o",
-                    # model_name="gpt-3.5-turbo",
-                    temperature=0,
-                    max_tokens=256)
-    # Bind tools to LLM
-    llm_with_tools = llm.bind_tools(tools)
-
-    # System message
-    sys_msg = SystemMessage(content=SYSTEM_PROMT)
+        }
 
-    def assistant(state: MessagesState):
-        """Assistant node"""
-        msgs = [llm_with_tools.invoke(state["messages"])]
-        if not any(isinstance(m, SystemMessage) for m in msgs):
-          msgs = [sys_msg] + msgs
-        return {"messages": msgs}
+        final_state = self.graph.invoke(initial_state)
+        # Extract final assistant message
+        last_msg = final_state["messages"][-1].content
 
-    builder = StateGraph(MessagesState)
-    builder.add_node("assistant", assistant)
-    builder.add_node("tools", ToolNode(tools))
-    builder.add_edge(START, "assistant")
-    builder.add_conditional_edges(
-        "assistant",
-        tools_condition,
-    )
-    builder.add_edge("tools", "assistant")
+        # If you need to strip off "FINAL ANSWER: " prefix, do it here:
+        if last_msg.startswith("FINAL ANSWER:"):
+            return last_msg[len("FINAL ANSWER:"):].strip()
+        return last_msg.strip()
 
-    # Compile graph
-    return builder.compile()
 
 
 
 if __name__ == "__main__":
     # question = "Where is the capital of the Iran?"
-    graph = EsiAgent(provider="groq")
-    messages = [HumanMessage(content=question)]
-    messages = graph.invoke({"messages": messages})
-    for m in messages["messages"]:
-        m.pretty_print()
+    agent = EsiAgent()
+    answer = agent.run("What is 15% of 200 plus 7 squared?")
+