import os import re import google.generativeai as genai from tools import web_search, read_file_from_api, python_interpreter # --- NEW, MORE ADVANCED REACT PROMPT --- REACT_PROMPT = """ You are a state-of-the-art, helpful AI agent designed to solve complex, multi-step problems. **Your Task:** Your goal is to answer the user's question with 100% accuracy. To do this, you will operate in a loop of Thought, Action, and Observation. You must break down the problem into a series of smaller steps. **Your Tools:** You have access to the following tools. Choose ONE tool per turn. 1. `web_search[query]`: Use this to find current information, facts, or to research topics. 2. `read_file_from_api[task_id]`: Use this ONLY when the question or an agent note explicitly mentions an attached file. It reads the raw content of that file. 3. `python_interpreter[code]`: Use this for all calculations, data processing, and complex logic. - **This tool is powerful.** It has the `pandas` and `openpyxl` libraries installed. - You can use it to analyze data from files. For example, after using `read_file_from_api`, you can pass the raw content into a Python script for processing. - For Excel files, it's often better to use `pandas.read_excel(file_url)` directly within the python tool, where `file_url` can be constructed from the task_id. **Reasoning Process:** 1. **Thought:** Carefully analyze the question. Identify the required information and devise a step-by-step plan. 2. **Action:** Choose the appropriate tool and input to execute the current step of your plan. Your action MUST be in the format `Action: tool_name[input]`. 3. **Observation:** You will receive the result of your action. 4. **Repeat:** Analyze the observation and continue with the next step in your plan until you have the final answer. **CRITICAL SUBMISSION RULE:** When you have the final, definitive answer, you MUST format your response as: `Final Answer: [The single, exact answer]` The system will automatically extract only the text after this prefix for submission. Do not add any other text or explanation. --- Here is the problem: Question: {question} """ class GeminiAgent: def __init__(self): print("Initializing GeminiAgent (Advanced ReAct)...") # ... (init logic remains the same: api_key, model, tools) api_key = os.getenv("GEMINI_API_KEY") if not api_key: raise ValueError("GEMINI_API_KEY secret not found! Please set it in your Space's settings.") genai.configure(api_key=api_key) self.model = genai.GenerativeModel('gemini-2.5-pro') self.tools = { "web_search": web_search, "read_file_from_api": read_file_from_api, "python_interpreter": python_interpreter } print("GeminiAgent initialized successfully with model 'gemini-2.5-pro'.") # MODIFIED to accept task_id def __call__(self, question: str, task_id: str) -> str: prompt = REACT_PROMPT.format(question=question) # ReAct loop for turn in range(10): # Max 10 turns print(f"\n--- Turn {turn + 1} for Task ID: {task_id} ---\n") response = self.model.generate_content(prompt) if not response.parts: print("Warning: Model returned an empty response.") prompt += "\nObservation: The model returned an empty response. Please try again." continue response_text = response.text print(f"LLM Response:\n{response_text}\n") # Check for Final Answer final_answer_match = re.search(r"Final Answer: (.*)", response_text, re.DOTALL) if final_answer_match: answer = final_answer_match.group(1).strip() print(f"Final Answer extracted: '{answer}'") return answer # Look for an Action action_match = re.search(r"Action: (\w+)\[(.*)\]", response_text, re.DOTALL) if not action_match: observation = "No valid 'Action:' or 'Final Answer:' found. Please think step-by-step and select a tool or provide the final answer." else: tool_name = action_match.group(1).strip() tool_input = action_match.group(2).strip() if tool_name not in self.tools: observation = f"Error: Unknown tool '{tool_name}'." else: try: # Pass the task_id to the tool function, which can then use it if needed observation = self.tools[tool_name](tool_input if tool_name != 'read_file_from_api' else task_id) except Exception as e: observation = f"Error executing tool {tool_name}: {e}" print(f"Observation:\n{observation}\n") # Append the full turn to the prompt prompt += f"{response_text}\nObservation: {observation}\n" return "Agent failed to find an answer within 10 turns."