✨ feat(functionscalls.py): add call_function function to handle function calls with name and arguments
🔧 fix(makeprompt.py): remove individual function imports from functionscalls and use call_function instead
✨ feat(functionscalls.py): add error handling for missing arguments in function calls
🐛 fix(makeprompt.py): fix typo in function_call variable name
🔀 chore(gpt-3.5-turbo.txt): update instructions to only use provided functions
✨ feat(makeprompt.py): add `is_ignorable` function to check if a message content is ignorable based on certain conditions
✨ feat(makeprompt.py): add `fetch_messages_history` function to fetch message history from a channel with optional limit and original message parameters
🐛 fix(makeprompt.py): remove unnecessary file close statement after reading prompt file
✨ feat(config.py): add gpt_3_5_turbo_prompt variable to store the content of the prompt file
✨ feat(makeprompt.py): use gpt_3_5_turbo_prompt variable instead of reading the prompt file again
🔥 chore(makeprompt.py): remove unnecessary comment about ignoring messages from bots
🔥 chore(makeprompt.py): remove unnecessary comment about ignoring messages from guild or dm channel not in the database
The api_key argument is not needed in the openai_caller function call as it is not being used within the function. Removing the argument improves code readability and removes unnecessary code.
fix(openaicaller.py): fix import statement for num_tokens_from_messages function
refactor(openaicaller.py): remove unused api_key parameter from openai_caller class constructor
refactor(openaicaller.py): change generate_response and moderation methods to accept variable number of arguments
refactor(openaicaller.py): change error_call parameter to be optional and provide a default function if not provided
refactor(openaicaller.py): remove unused api_key parameter from generate_response and moderation methods
refactor(openaicaller.py): remove unused api_key parameter from main function
The issue was that when the response content was longer than 2000 characters, it was not being fully sent in the chatgpt_process function. This was fixed by adding a loop to send the content in chunks of 2000 characters until the entire content is sent.
feat(functionscalls.py): add new functions send_ascii_art_text and send_ascii_art_image to send messages and images in ascii art
fix(makeprompt.py): import send_ascii_art_text and send_ascii_art_image functions and add corresponding if statements to handle function calls
feat(config.py): add support for TENOR_API_KEY environment variable to be able to use Tenor API for sending gifs
feat(functionscalls.py): add new function send_a_gif to send a gif in the channel
fix(makeprompt.py): add support for calling send_a_gif function in chatgpt_process function
