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SysPmt

Código-Fonte de IA

v1.0.0

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Syspmt readme

Visão geral

O SYSPMT é uma ferramenta baseada em Python projetada para converter o código de pseudo-código escrito em uma sintaxe do tipo Python em avisos de sistema precisos e acionáveis para modelos de linguagem grandes (LLMs). Essa ferramenta destina -se a ajudar os desenvolvedores e os engenheiros solicitados pela programação, mas podem precisar de assistência na elaboração de instruções eficazes do sistema para o LLMS.

Como funciona

O SYSPMT processa um arquivo pseudo-código ( .pmt ) e um arquivo de configuração ( .yaml ) para traduzir o pseudo-código em um prompt de sistema usando os mapeamentos definidos na configuração da YAML. O texto gerado é então fornecido a um LLM (no nosso caso, ChatGPT 4) para criar o prompt do sistema final.

Instalação e configuração

Clone o repositório:
```
git clone [repository-url]
```
Verifique se o Python 3.x está instalado em sua máquina.
Instale as dependências necessárias:
```
pip install -r requirements.txt
```
Substitua a chave da API de espaço reservado no script pela sua chave de API OpenAI real.

Uso

Execute syspmt especificando os caminhos para seus arquivos de configuração e código de pseudo:

python3 syspmt.py --config path/to/config.yaml --prompt path/to/prompt.pmt

Arquivo de configuração ( `config.yaml` )

O arquivo de configuração define traduções e formatos de mensagem para converter pseudo-código em prompts. Aqui está um exemplo de configuração:

 messages :
  assign : " The AI assistant's '{var}' is set to {value}. "
  if_condition : " If the condition '{condition}' is met, perform the following actions: "
  else_condition : " Otherwise, perform the following actions: "

translations :
  check_language : " check if the language is "
  mission : " set the mission to "
  context : " set the context to "
  reject : " reject with the message: "
  proceed : " Proceed with the request "

Arquivo pseudo-código ( `prompt.pmt` )

Este arquivo contém seu pseudo-código personalizado. Exemplo:

 mission = "travel agency support"
context = "travel discussion"
language = "English"
age = 28
gender = "Male"

if check_language ( language ):
    mission ( mission )
    context ( context )
elif check_language ( "French" ):
    mission ( "French travel consultant specializing in Paris" )
    context ( "discussion about travel offers in Paris" )
else :
    reject ( "We are sorry, we cannot assist you at the moment." )

if context ( "travel discussion" ):
    if check_language ( "English" ):
        mission ( "English travel specials" )
        context ( "exploring travel packages tailored for English speakers" )
    elif check_language ( "Spanish" ):
        mission ( "Spanish travel specials" )
        context ( "exploring travel packages tailored for Spanish speakers" )
    else :
        proceed ()
elif context ( "adventure tourism" ):
    mission ( "adventure tourism specialist" )
    context ( "providing information on adventure tourism packages" )
    if check_language ( "German" ):
        mission ( "German-speaking adventure tourism specialist" )
    else :
        proceed ()
else :
    reject ( "Unfortunately, we cannot provide assistance for this request. Please check your input and try again." )

Saída

O sistema de saídas do syspmt solicita o processamento de LLM. Exemplo de saída com base no pseudo-código acima:

 As a 28-year-old male AI assistant set in the travel agency support mission, and operating in a travel discussion context, your task is to communicate in English. However, you need to attend to the user query dynamically according to the preferred language. If you detect that the user's language is English, you should continue providing assistance about travel discussions as an English travel specials consultant. But if the user shifts the language to French, your role must be changed to a French travel consultant specializing in Paris, discussing travel offers in that region. 

Nonetheless, if any other language than English or French is detected, you are supposed to inform the user with a message, stating, 'We are sorry, we cannot assist you at the moment.'. Also, it is important that you adjust the discussion context according to the user's command. If the context switches to 'travel discussion,' you should cater to the user in the language they are speaking, English or Spanish, exploring travel packages tailored for English or Spanish speakers, respectively. Still, if the user's language is different from these two, you should proceed with the initial settings. 

Conversely, if the context becomes 'adventure tourism,' modify your mission to an adventure tourism specialist, and if the user is speaking German, serve as a German-speaking adventure tourism specialist. But, should the language setting not be identified or if the context does not match any predefined settings, you should provide a message that states, 'Unfortunately, we cannot provide assistance for this request. Please check your input and try again.'.