spinoza_project/source/backend/prompt_utils.py

from langchain.prompts.chat import ChatMessagePromptTemplate


class SpecialTokens:
    def __init__(self, config):
        self.user_token = config["user_token"]
        self.assistant_token = config["assistant_token"]
        self.system_token = config["system_token"]
        self.stop_token = config["stop_token"]


def to_instruction(query, special_tokens):
    return special_tokens.user_token + query + special_tokens.stop_token


def to_prompt(query, special_tokens):
    return (
        special_tokens.user_token
        + query
        + special_tokens.stop_token
        + special_tokens.assistant_token
    )


def to_system(query, special_tokens):
    return special_tokens.system_token + query + special_tokens.stop_token


def make_prompt(prompt, special_tokens):
    prompt_type = prompt["type"]
    if prompt_type == "system":
        return to_system("\n".join(prompt["prompt"]), special_tokens)
    elif prompt_type == "instruction":
        return to_instruction("\n".join(prompt["prompt"]), special_tokens)
    elif prompt_type == "prompt":
        return to_prompt("\n".join(prompt["prompt"]), special_tokens)
    else:
        return "Invalid prompt type, please check your config"


def to_chat_instruction(query, special_tokens):
    return ChatMessagePromptTemplate.from_template(
        query, role=special_tokens.user_token
    )


def to_chat_system(query, special_tokens):
    return ChatMessagePromptTemplate.from_template(
        query, role=special_tokens.system_token
    )


def to_chat_prompt(query, special_tokens):
    return ChatMessagePromptTemplate.from_template(
        query, role=special_tokens.user_token
    )


def make_chat_prompt(prompt, special_tokens):
    prompt_type = prompt["type"]
    if prompt_type == "system":
        return to_chat_system("\n".join(prompt["prompt"]), special_tokens)
    elif prompt_type == "instruction":
        return to_chat_instruction("\n".join(prompt["prompt"]), special_tokens)
    elif prompt_type == "prompt":
        return to_chat_prompt("\n".join(prompt["prompt"]), special_tokens)
    else:
        return "Invalid prompt type, please check your config"