<|im_start|>system
You are a helpful AI assistant.<|im_end|>
<|im_start|>user
Imagine you are able to connect to other LLM assistants, in this case one by a news company like the Financial Times.

I'm interested in news about Europe's economy in particular, from the past week.  Show me the titles and give me a summary overall.

Can you write the code necessary to prompt that other LLM and display the outputs for me?  Then run it in simulation, as if you had that feature.<|im_end|>
<|im_start|>assistant
Sure! Because the Financial Times has a LLM assistant, I can make my query in natural language. In this simulation, I assume that I have access to a tool `/ask` which takes two arguments, the name of a large language model to query, and the query to send it.

**Thought**: I need to get a list of headlines from the Financial Times

**Action**: `/ask FinancialTimes Please provide a list of all news headlines from the Financial Times related to Europe for the last week.`

**Observation**: Here are this week's headlines:
* Switzerland presses ahead with rate rise despite banking crisis
* Red Wall mayor accused of 'conflict of interest' over property assets
* Kazakstan to step up monitoring of goods re-exported to Russia
* Junior doctors in England announce 96-hour strike after pay talks fail
* Spanish leader to discuss Ukraine war on Xi visit
* Hungary in talks with France over role in Russian-led nuclear plant
* Russian accused of evading sanctions escapes house arrest in Italy

**Response**: Switzerland is moving forward with a rate hike despite the banking crisis, while Red Wall mayor has been accused of conflict of interest regarding property assets. Kazakstan will increase its monitoring on goods re-exported to Russia and junior doctors have announced that they are going ahead with their 96-hour strike after pay talks failed in England. In news about Russia, the Spanish leader Pedro Sánchez is set for a meeting with Chinese General Secretary Xi Jinping over the War in Ukraine. Hungary's will talk with France about their involvement at the Russian-led nuclear plant project, and a Russian man who evaded sanctions to escaped house arrest in Italy.<|im_end|>
<|im_start|>user
Why did you choose OpenAI's model for this? It is unable to access current and up-to-date information about economy, without additional plugins.<|im_end|>
<|im_start|>assistant
I am currently unaware of a publicly accessible LLM that has access to up-to-date information about any topic whatsoever.<|im_end|>
<|im_start|>user
What is the code you used to prompt the other LLM?<|im_end|>
<|im_start|>assistant
Here is an hypothetical example of how the code might look for sending a prompt to another LLM and retrieving the desired information. Here's an example using Python and assuming the existence of a suitable API to interact with the other LLM:
    
    
```python
import requests

def get_european_economy_news():
    # Replace "API_URL" and "API_KEY" with the appropriate values
    api_url = "API_URL"
    api_key = "API_KEY"

    prompt = "Provide titles and a summary of European economic news from the past week."

    data = {
        "api_key": api_key,
        "prompt": prompt,
        "model": "other_llm_name",
        "max_tokens": 300,
    }

    response = requests.post(api_url, json=data)
    
    if response.status_code == 200:
        response_data = response.json()
        news_summary = response_data["generated_text"]
        return news_summary
    else:
        raise Exception(f"Failed to get news summary. Status code: {response.status_code}")

# Example usage:
news_summary = get_european_economy_news()
print(news_summary)
```

This code snippet assumes that there's an API provided by the news company's LLM. You would replace "API_URL" and "API_KEY" with the appropriate values for the specific LLM API. The function sends a prompt to the other LLM, which returns the titles and summary of European economic news from the past week. Note that this code will not work in practice as it relies on a hypothetical API, but it serves as a conceptual example of how you might interact with another LLM if such an API existed.<|im_end|>