🛠️Step 1: Defining the Agent's Functionality
Understanding the Agent's Purpose
Identify the Use Case:
Clearly define the problem the agent will solve or the task it will perform.
Examples include customer support, content generation, data analysis, etc.
Specify Goals and Tasks:
Break down the primary goal into smaller, actionable tasks.
Define clear objectives and expected outcomes for each task.
Determine Inputs and Outputs:
Identify the inputs the agent will need to perform its tasks
Define the expected outputs or responses from the agent.
Determine core capabilities
Information retrieval (e.g. Wikipedia search)
Data analysis (e.g. calculations)
Domain-specific tasks (e.g. blog search)
Design action format
Action: <action_name>: <action_input>Implement action functions
import requests
def wikipedia(query):
url = f"https://en.wikipedia.org/w/api.php?action=opensearch&search={query}&limit=1&format=json"
response = requests.get(url)
data = response.json()
if data[1]:
return f"Wikipedia result for '{query}': {data[3][0]}"
else:
return f"No Wikipedia results found for '{query}'."
def calculate(expression):
try:
result = eval(expression)
return f"Result of '{expression}': {result}"
except:
return f"Error evaluating '{expression}'. Please check the input."
def simon_blog_search(query):
# Placeholder function - replace with actual blog search implementation
return f"Searching Simon's blog for '{query}'... (Placeholder result)"Resources
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