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Update prompts.yaml

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  1. prompts.yaml +1 -7
prompts.yaml CHANGED
@@ -8,16 +8,10 @@
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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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- You have access to the following function :
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- Function : daily_stock_data(symbol:str)->str
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- Description : returns todays data for specified symbol
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- Parameters :
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- - symbol (str): ticker for particular stock ex : "AAPL","NVDA"
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- when user asks about tell me data for {symbol} call the function daily_stock_data(symbol) and explain the data, output will contain open,high,low,close,volume values explain them
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  Here are a few examples using notional tools:
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- Task : "Get me 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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  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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+ 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