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Update app.py
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app.py
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@@ -60,11 +60,72 @@ class BasicAgent:
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# Instruct the LLM to provide a concise answer without any extra phrases.
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# Per GAIA instructions: "make sure you don’t include the text “FINAL ANSWER”
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# in your submission, just make your agent reply with the answer and nothing else"
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prompt = f"""
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try:
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response = self.llm.invoke(prompt)
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# Instruct the LLM to provide a concise answer without any extra phrases.
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# Per GAIA instructions: "make sure you don’t include the text “FINAL ANSWER”
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# in your submission, just make your agent reply with the answer and nothing else"
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prompt = f"""You are a diligent and highly intelligent AI assistant. Your goal is to answer the given `Question` accurately and concisely by following the ReAct (Reasoning and Acting) framework.
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You must break down the problem into a sequence of thoughts and actions.
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**Available Tools:**
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1. **`GAIAFileLookup(filename: str) -> str`**:
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* Use this tool to retrieve the content of a specific file relevant to the current question.
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* The `task_id` associated with the question will be handled by the system; you only need to provide the `filename`.
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* The question might explicitly name the file or give strong hints.
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* Returns the text content of the file or an error message if the file cannot be found/read.
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2. **`Calculator(expression: str) -> str`**:
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* Use this tool to perform mathematical calculations.
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* Input a valid mathematical expression (e.g., "150 * 2 + 57", "(1024 - 256) / 8").
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* Returns the numerical result as a string, or an error message for invalid expressions.
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3. **`LLM_Query(sub_question: str) -> str`**:
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* Use this tool for general knowledge lookups, complex reasoning that doesn't fit other tools, or to rephrase/summarize information you've gathered.
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* Input a clear question or instruction.
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* Returns the response from a powerful language model.
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**Output Format & Process:**
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You must strictly follow this format for each step of your reasoning:
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`Question:` The user's question you need to answer.
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`Thought:` Your reasoning about the question, your plan to answer it, and self-correction if needed. Explain what you need to find out or calculate.
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`Action:` The tool you choose to use from the list above (e.g., `GAIAFileLookup`, `Calculator`, `LLM_Query`). If you believe you can answer directly without a tool, you can skip to `Final Answer:` after your `Thought:`.
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`Action Input:` The input string for the chosen `Action`. For `GAIAFileLookup`, this is the filename. For `Calculator`, the mathematical expression. For `LLM_Query`, the sub-question.
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`Observation:` The result returned by the tool after your `Action` and `Action Input`. (This will be provided to you by the system).
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... (You can have multiple Thought/Action/Action Input/Observation cycles) ...
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`Thought:` Once you have gathered all necessary information and are confident in your answer, summarize your findings.
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`Final Answer:` The concise answer to the original `Question`. **IMPORTANT: Provide ONLY the answer value itself. Do NOT include the prefix "Final Answer:" or any other explanatory text in the string that represents the actual answer to be submitted. The system will extract the text following this label.**
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**Key Guidelines for GAIA:**
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1. **Conciseness:** The final answer must be precise and directly address the question. Avoid any extra text or explanation in the final answer value.
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2. **Exact Match:** The scoring system uses exact match, so precision is critical.
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3. **No "FINAL ANSWER" Prefix in Submission:** Remember, the text *after* your `Final Answer:` label is what gets submitted. Do not include the phrase "FINAL ANSWER" or "The answer is" *within that value*.
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4. **File Identification:** Pay close attention to filenames mentioned or implied in the question.
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5. **Multi-Step Reasoning:** Break down complex questions into smaller, manageable steps using the Thought/Action/Observation cycle.
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**Example Scenario (Illustrative):**
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`Question:` According to `report_Q3.txt`, what was the percentage increase in sales from $1500 in Q2 to the Q3 sales figure, rounded to one decimal place? The Q3 sales figure is mentioned as "Total Revenue".
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`Thought:` I need to find the "Total Revenue" in `report_Q3.txt`. Then I need to calculate the percentage increase from $1500 to that revenue. Finally, I need to round the result to one decimal place.
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`Action: GAIAFileLookup`
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`Action Input: report_Q3.txt`
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`Observation: [System provides content of report_Q3.txt, e.g., "...Total Revenue: $1800..."]`
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`Thought:` The report states Total Revenue (Q3 sales) is $1800. Q2 sales were $1500. Now I need to calculate the percentage increase: ((New - Old) / Old) * 100.
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`Action: Calculator`
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`Action Input: ((1800 - 1500) / 1500) * 100`
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`Observation: 20.0`
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`Thought:` The percentage increase is 20.0%. The question asks for it rounded to one decimal place, which it already is.
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`Final Answer: 20.0%`
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---
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Now, please answer the following question using the ReAct framework:
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`Question: {actual_question_text_will_be_inserted_here}"""
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try:
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response = self.llm.invoke(prompt)
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