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Calling an external API

Now that you have a clearly structured function definition, you move on to improving your endpoint request. You use the Chat Completions endpoint and pass a system message to ensure that the AI assistant is aware that it is in the aviation space and that it needs to extract the corresponding airport code based on the user input.

In this exercise, the get_airport_info() function has been preloaded. The get_airport_info() function uses the AviationAPI and takes as input one airport code, returning the response with the requested airport information. The print_response() function has also been preloaded to print the output.

Questo esercizio fa parte del corso

Developing AI Systems with the OpenAI API

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Istruzioni dell'esercizio

  • Call the Chat Completions endpoint and ensure the system is provided with instructions on how to handle the prompt.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

client = OpenAI(api_key="")

# Call the Chat Completions endpoint 
response = ____(
  model="gpt-4o-mini",
  messages=[
    ____,
    {"role": ____, "content": "I'm planning to land a plane in JFK airport in New York and would like to have the corresponding information."}],
  tools=function_definition)

print_response(response)
Modifica ed esegui il codice