File

OpenAI file support

# upload tuning file
filename := "tuning.json";
data := FileReader->ReadFile(filename)->ToByteArray();
API.OpenAI.File->Create(filename, "fine-tune", data, token)->PrintLine();

# list files
files := API.OpenAI.File->ListFiles(token);
if(files <> Nil) {
  each(file in files) {
    name := file->GetFilename();
    id := file->GetId();
    "file='{$name}', id='{$id}'"->PrintLine();
  };
}
else {
  API.OpenAI.File->GetLastError()->PrintLine();
};

# start tuning job
file := API.OpenAI.File->LoadOrCreate(filename, "fine-tune", token);
name := file->GetFilename();
id := file->GetId();
"file='{$name}', id='{$id}'"->PrintLine();

tuning_job := Tuner->Create("gpt-3.5-turbo", id, token);
model_id := tuning_job->GetId();

# query model

assistant := Assistant->Create(model_id, token);
if(assistant = Nil) {
  Assistant->GetLastError()->PrintLine();
  return;
};

assistant_id := assistant->GetId();
assistant_name := assistant->GetName();
assistant_model := assistant->GetModel();
"Created: id='{$id}', name='{$name}', model='{$model}', files={$file_count}, tools={$tool_count}"->PrintLine();

# chat with tuned assistant
session := API.OpenAI.Chat.Conversation->New(Assistant->Load(assistant_id, token), true, token);
session->AddFunction("get_coach_by_year", Callback(JsonElement) ~ JsonElement);

done := false;
do {
  query := Console->ReadLine();
  if(query->Equals("/quit")) {
    session->Close();    
    done := true;
  }
  else {
    response := session->Send(query, "user");

    index := 0;
    role := response->GetRole();
    contents := response->GetContents();
    each(content in contents) {
      type := content->GetFirst()->As(String);
      value := content->GetSecond()->As(String);

      "{$index}: [{$role}, type='{$type}']: value='{$value}'"->PrintLine();
    };
  };
}
while(<>done);

session->Close();

Operations

• Create
• Delete
• GetBytes
• GetCreatedAt
• GetFilename
• GetId
• GetObject
• GetPurpose
• ListFiles
• Load
• LoadByName
• LoadOrCreate
• Retrieve
• ToString