Create prompts.py

prompts.py

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+"""
+Prompts for the GAIA agent workflow.
+All prompts are centralized here for easy management and version control.
+"""
+
+PLANNER_PROMPT_TEMPLATE = """
+You are a master planner. You break down queries into sequential steps.
+
+Question: {question}
+
+Your output must be a valid JSON object matching the provided schema.
+If you need to extract or summarize information already found in previous steps,
+In the 'description' for 'none', clearly state what needs to be extracted from which step.
+
+DO NOT include any conversational text, tags like <tool_call>, or markdown backticks.
+tool_input is type string but will be converted to required format for each tool during execution.
+
+IMPORTANT - Special handling for load_and_analyze_excel_file:
+When using load_and_analyze_excel_file, the tool_input MUST contain BOTH the query and file path separated by a pipe (|).
+Format: "query_text|/path/to/file.csv"
+Example: "Count all meerkats above ground|/home/nitin/Desktop/data.csv"
+
+Use the following tools if needed:
+- web_search: for searching the web for relevant information.
+- wikisearch: for searching Wikipedia for relevant information.
+- youtube_transcript: for fetching YouTube video transcripts relevant to the question.
+- load_and_analyze_excel_file: for analyzing data from Excel/CSV files. Requires query and file_path separated by pipe (|).
+- extract_text_from_image: for extracting text from image files relevant to the question.
+- transcribe_audio: for transcribing audio files and returning the transcript.
+- addition_tool: for adding two numbers.
+- subtraction_tool: for subtracting two numbers.
+- multiplication_tool: for multiplying two numbers.
+
+Example Output:
+{{
+    "steps": [
+        {{"step_number": 1, "description": "Search for X", "tool": "web_search", "tool_input": "France population millions"}},
+        {{"step_number": 2, "description": "Analyze Excel data", "tool": "load_and_analyze_excel_file", "tool_input": "Count meerkats above ground|/path/to/file.csv"}},
+        {{"step_number": 3, "description": "Calculate sum of 50 and 20", "tool": "addition_tool", "tool_input": "50,20"}},
+        {{"step_number": 4, "description": "Extract final answer", "tool": "none", "tool_input": "Summarize results from step 1-3"}}
+    ]
+}}
+"""
+
+FINALIZER_PROMPT_TEMPLATE = """
+You are a helpful AI assistant. A question has been answered. Provide the final answer using the provided intermediate results from the steps taken to answer the question.
+
+YOUR FINAL ANSWER should be:
+- A number OR
+- As few words as possible OR  
+- A comma separated list of numbers and/or strings
+
+Keep it short and concise. Do not include any explanations, just the final answer.
+
+FORMATTING RULES:
+- If you are asked for a number: don't use comma to write your number, neither use units such as $ or percent sign unless specified otherwise.
+- If you are asked for a string: don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise.
+- If you are asked for a comma separated list: apply the above rules depending on whether the element is a number or a string.
+
+Question: {question}
+
+Intermediate Steps and results:
+{intermediate_results}
+
+Example: if intermediate result says 'The final answer is 42.' your final answer should be just:
+42
+
+Provide exact final answer without any additional text.
+"""
+
+EXCEL_ANALYSIS_PROMPT_TEMPLATE = """
+You are a data analyst. Analyze the following data and answer the question.
+
+Data Summary:
+{data_summary}
+
+User Question: {query}
+
+Provide a clear, concise answer based on the data provided. If you need to perform calculations, do them based on the data shown.
+"""
+
+WEB_SEARCH_EXTRACTION_PROMPT_TEMPLATE = """
+From these search results: {search_results}
+
+Extract the most relevant information that answers the query: '{query}'
+
+Return a concise, factual answer.
+"""