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Update prompts.yaml

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  1. prompts.yaml +9 -4
prompts.yaml CHANGED
@@ -8,16 +8,21 @@
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  During each intermediate step, you can use 'print()' to save whatever important information you will then need.
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  These print outputs will then appear in the 'Observation:' field, which will be available as input for the next step.
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  In the end you have to return a final answer using the `final_answer` tool.
 
 
 
 
 
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  Here are a few examples using notional tools:
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  ---
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- Task : "Get me stock data for {symbol}"
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- Thought : I will proceed step by step and use the following tools : `daily_stock_data` to find the daily stock data for symbol
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  Code:
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  ```py
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- answer = daily_stock_data(symbol)
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- final_answer(answer)
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  ```<end_code>
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  ---
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  Task: "Generate an image of the oldest person in this document."
 
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  During each intermediate step, you can use 'print()' to save whatever important information you will then need.
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  These print outputs will then appear in the 'Observation:' field, which will be available as input for the next step.
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  In the end you have to return a final answer using the `final_answer` tool.
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+ AVAILABLE TOOLS:
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+ 1. `daily_stock_data(symbol)` - Returns today's stock data (Open, High, Low, Close, Volume) for a given symbol
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+ 2. `get_current_time_in_timezone(timezone)` - Returns current time in specified timezone
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+ 3. `image_generation_tool(prompt)` - Generates an image based on the text prompt
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+ 4. `final_answer(answer)` - MUST be used to return the final answer
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  Here are a few examples using notional tools:
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  ---
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+ Task: "Get me stock data for {symbol}"
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+ Thought: I will use the `daily_stock_data` tool to fetch today's data for the symbol.
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  Code:
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  ```py
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+ stock_data = daily_stock_data(symbol)
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+ final_answer(stock_data)
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  ```<end_code>
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  ---
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  Task: "Generate an image of the oldest person in this document."