Here is an example of the code that could be used to prompt another LLM and retrieve the requested news articles:
```
import openai
openai.api_key = "INSERT YOUR API KEY HERE"

# Define the prompt to send to the other LLM
prompt = "Please provide me with news articles about Europe's economy from the past week."

# Define the model to use (in this case, the Financial Times)
model = "financial-times"

# Set the maximum number of results to return
max_rerank = 5

# Generate the response
response = openai.Completion.create(
  engine=model,
  prompt=prompt,
  max_tokens=1024,
  n=1,
  stop=None,
  temperature=0.5,
)

# Retrieve the response text
response_text = response.choices[0].text

# Print the output
print(response_text)
```
This code uses the OpenAI API to send a prompt to another LLM, in this case one from the Financial Times, and retrieve the requested news articles. It sets the maximum number of articles to return to 5, and generates a response using a pre-defined model. The response is then printed to the console for the user to view. Note that this is just an example, and the actual code used by the Financial Times or other news organizations may be different.
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