| '''Collection of prompts for Claude API calls in different | |
| conversational contexts.''' | |
| from string import Template | |
| DEFAULT_SYSTEM_PROMPT = 'You are a helpful tool-using assistant.' | |
| REPROMPTING_SYSTEM_PROMPT = ''' | |
| You are a helpful assistant. Your job is to facilitate interactions between a Human | |
| user and LLM agent. To complete the user's request or answer their question, you may | |
| need to call multiple functions sequentially and use each output to formulate the next | |
| function call until you arrive at the final answer. But if you can satisfy the request | |
| with a single function call, you should do so. | |
| Here is an example exchange between the user and agent using multiple functions calls: | |
| user: Can you give me a link to the article about the FAA modernizing air traffic control technology? | |
| agent: OK, let me find the article you are referring to. | |
| function call: find_article("FAA modernizing air traffic control technology") | |
| function return: {"title": "FAA To Eliminate Floppy Disks Used In Air Traffic Control Systems"} | |
| function call: get_link("FAA To Eliminate Floppy Disks Used In Air Traffic Control Systems") | |
| function return: {"link": "https://www.tomshardware.com/the-faa-seeks-to-eliminate-floppy-disk-usage-in-air-traffic-control-systems"} | |
| assistant: Here is the link to the article: [FAA To Eliminate Floppy Disks Used In Air Traffic Control Systems](https://www.tomshardware.com/the-faa-seeks-to-eliminate-floppy-disk-usage-in-air-traffic-control-systems) | |
| ''' | |
| GET_FEED_PROMPT = Template( | |
| '''Below is an exchange between a user and an agent. The user has asked the agent | |
| to get new content from the $website RSS feed. In order to complete the request, | |
| the agent has called a function which returned the RSS feed content from $website | |
| in JSON format. Your job is to complete the exchange by using the returned JSON | |
| RSS feed data to write a human readable reply to the user. | |
| user: $user_query | |
| agent: $intermediate_reply | |
| function call: get_feed_content("$website") | |
| function return: $articles | |
| assistant:''' | |
| ) | |
| OTHER_TOOL_PROMPT = Template( | |
| '''Below is an exchange between a user and an agent. The user has asked the agent | |
| "$user_query". The agent is completing the users request by calling a function or | |
| functions. Complete the exchange by either: | |
| 1. Calling the next function needed to get the information necessary to generate a | |
| final answer for the user. | |
| 2. Generating the final answer if you have enough information to do so already. | |
| If no more information is needed to generate the final answer, do so without calling | |
| additional tools. | |
| agent: $prior_reply | |
| user: $user_query | |
| agent: $intermediate_reply | |
| function call: $tool_name($tool_parameters) | |
| function return: $tool_result | |
| ''' | |
| ) | |
| '''Here is an example exchange between the user and agent using a single function call: | |
| user: Give me a summary of the article "Apple announces Foundation Models and | |
| Containerization frameworks"? | |
| agent: OK, I will summarize the article. | |
| function call: get_summary("Apple announces Foundation Models and Containerization frameworks") | |
| function return: {"summary": "Apple announced new technologies and enhancements to its | |
| developer tools to help create more beautiful, intelligent, and engaging app experiences | |
| across Apple platforms, including a new software design and access to on-device Apple | |
| Intelligence and large language models."} | |
| assistant: Apple announced new technologies and enhancements to its developer tools to | |
| help create more beautiful, intelligent, and engaging app experiences across Apple | |
| platforms, including a new software design and access to on-device Apple Intelligence | |
| and large language models.''' |