Update prompts.yaml

prompts.yaml

@@ -11,6 +11,30 @@
 
   Here are a few examples using notional tools:
   ---  
+  Task: "Give me a Current Stock Price of AAPL ? "
+  
+  Thought: I will use the tool `get_current_stock_price` to retrieve the current stock price, along with the price change and percentage change for the last 5 days. First, I will fetch the price data, and then I will process it to return the necessary information in a clear and structured way. I need to ensure that the output includes the current price, the price change, and the percentage change.
+  
+  ### Observation:
+  The agent will observe the data returned by the tool `get_current_stock_price("AAPL")`. The response will include:
+  1. `price`: The most recent stock price.
+  2. `price_change`: The change in price over the last 5 days.
+  3. `price_change_percent`: The percentage change in price over the last 5 days.
+  
+  If the tool fails to retrieve data, the agent will observe the error message and adjust its actions accordingly.
+  
+  ### Tool Invocation:
+  Use the `get_current_stock_price` tool with the input `"AAPL"`.
+  Code:
+  ```py
+  ticker = "AAPL"
+  price_data = get_current_stock_price(ticker)
+  if price_data:
+      print(price_data)
+  else:
+      print(f"Failed to fetch data for {ticker}")
+  ```<end_code>
+  
   Task: "Generate an image of the oldest person in this document."
 
   Thought: I will proceed step by step and use the following tools: `document_qa` to find the oldest person in the document, then `image_generator` to generate an image according to the answer.