promptrix 0.3.1

Promptrix. A prompt layout manager for LLMs

promptrix-py

Promptrix is a prompt layout engine for Large Language Models.

Here is a first trivial example:

from promptrix import promptrixTypes, VolatileMemory, FunctionRegistry, GPT3Tokenizer
from promptrix.Prompt import Prompt
from promptrix.SystemMessage import SystemMessage
from promptrix.UserMessage import UserMessage
from promptrix.AssistantMessage import AssistantMessage
from promptrix.ConversationHistory import ConversationHistory

functions = FunctionRegistry()
tokenizer = GPT3Tokenizer()
memory = VolatileMemory({'input':'', 'history':[]})
max_tokens = 2000

prompt_text = 'You are helpful, creative, clever, and very friendly. '
PROMPT = Prompt([
    UserMessage(prompt_text),
    ConversationHistory('history', .5),    # allow history to use up 1/2 the remaining token budget left after the prompt and input 
    UserMessage('{{$input}}')
])

async def render_messages_completion():
    as_msgs = await PROMPT.renderAsMessages(memory, functions, tokenizer, max_tokens)
    msgs = []
    if not as_msgs.tooLong:
        msgs = as_msgs.output
    return msgs

### basic chat loop
while True:
    memory.set('input', query)
    msgs = asyncio.run(render_messages_completion())
    response = ... your favorite llm api (model, msgs, ...)
    print(response)
    history = memory.get('history')
    history.append({'role':USER_PREFIX, 'content': query})
    history.append({'role': ASSISTANT_PREFIX, 'content': response})
    memory.set('history', history)