ajout du Excel

agent.py

@@ -202,14 +202,31 @@ math_agent = create_react_agent(
 
     name="math_agent")
 
+agent_excel = create_react_agent(
+    model=llm_4o,
+
+    tools=[open_xlsx_doc, create_agent_and_answer, ],
+    prompt=(
+        "You are an agent psecialized with Excel files.\n\n"
+        "INSTRUCTIONS:\n"
+        "- Assist ONLY when an Excel file is mentionned \n"
+        "- First, when you receive an Excel file path, you have to use the 'open_xlsx_doc' tool. Then you use the 'create_agent_and_answer'\n"
+        "- The output of the first tool (the pd.Dataframe) is a part of the input of the first solution\n"
+
+        "- Once you have got a response from the 'create_agent_and_answer_tool', transmit it to your supervisor \n"
+    ),
+    name="agent_excel",
+)
+
 supervisor = create_supervisor(
     model=init_chat_model("openai:gpt-4o", api_key = api_open_ai_agent_key),
-    agents=[research_agent, math_agent, web_search_openai_agent],
+    agents=[research_agent, math_agent, web_search_openai_agent, agent_excel],
     prompt=(
-        "You are a supervisor managing three agents:\n"
+        "You are a supervisor managing four agents:\n"
         "- research_agent: Specialised in ArXiv and Wikipedia. Assign research-related tasks to this agent.\n"
         "- math_agent: Handles math-related tasks such as solving equations or performing calculations.\n"
         "- web_search_openai_agent: Can browse the web to find up-to-date and relevant information. Assign web-related tasks to this agent.\n"
+        "- agent_excel: Can exploit Excel file. You have to give him an Excel path file with a question, and wait for his response.\n"
         "Assign work to one agent at a time. Do not call agents in parallel.\n"
         "When a new question arises, always first consult the research_agent — it may provide useful information.\n"
         "If research_agent yields no results, then delegate the task to web_search_openai_agent.\n"

app.py

@@ -66,11 +66,12 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     for item in questions_data:
         task_id = item.get("task_id")
         question_text = item.get("question")
+        filename = item.get('file_name')
         if not task_id or question_text is None:
             print(f"Skipping item with missing task_id or question: {item}")
             continue
         try:
-            submitted_answer = response_from_agent(question_text)
+            submitted_answer = response_from_agent(question_text + 'The file_name (path) is : ' + filename)
             answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
         except Exception as e: