Exception error when sending any prompts. about llamasharp

[AsakusaRinne]

Hi, the problem is that you use Program.ChatHistory to initialize the session and again feed it to the session when generating output. Thus, the system message is fed to the session after the chat has started, which is not allowed. Please construct a new ChatHistory or HistoryMessage object in ProcInput, rather than reuse Program.ChatHistory there.

I wrote these words on my phone so some spellings may be not correct. I believe you could find them according to the semantic. ：）

[Webslug]

Thanks for the quick response, I still get the same error unfortunately.

I have not been able to get LlamaSharp to work since version 0.0.2 and the old versions do not support GGUF models.

 public async static void ProcInput()
 {
     string userPrompt = Program.MainForm.txtInput.Text; // Get the user's input from the TextBox

     Program.MainForm.txtOutput.AppendText("\nUser: " + userPrompt + "\n");
     MainForm.txtInput.Text = "";

     Program.chatHistory = new ChatHistory(); // Reset chat history to start fresh

     // Concatenate the user prompt to the existing prompt
     Program.chatHistory.AddMessage(AuthorRole.System, "Transcript of a dialog, where the User interacts with an Assistant named Bob. Bob is helpful, kind, honest, good at writing, and never fails to answer the User's requests immediately and with precision.");
     Program.chatHistory.AddMessage(AuthorRole.User, "Hello, Bob.");
     Program.chatHistory.AddMessage(AuthorRole.Assistant, "Hello. How may I help you today?");


     await foreach (var text in Program._session.ChatAsync(new ChatHistory.Message(AuthorRole.User, userPrompt), new InferenceParams
     {
         MaxTokens = 1024,
         AntiPrompts = new List<string> { "User: " },
         Temperature = 0.7f,
         TopK = 40,
         RepeatPenalty = 1.1f,
         MinP = 0.05f,
         TopP = 0.95f
     }))

         if (Program.MainForm.txtOutput.Lines.Length > 0)
     {
         // Remove the last line
         int lastLineIndex = Program.MainForm.txtOutput.Lines.Length - 1;
         Program.MainForm.txtOutput.Text = string.Join(Environment.NewLine, Program.MainForm.txtOutput.Lines.Take(lastLineIndex));
     }
 }

[AsakusaRinne]

Hi， please don't add system message in ProcInput. Instead, add it only when initializing _session and only add user message when chatting

[AsakusaRinne]

Hi， please don't add system message in ProcInput. Instead, add it only when initializing _session and only add user message when chatting

[Webslug]

Thanks, there are errors now but it's not sending any output at all regardless of which model I pick. Each time LlamaSharp is updated I try each version in the hope I can get it to work in c# but to no avail.

I tried to ask for some help in the discord again. I feel very pessimistic, is there another simpler version of LlamaSharp or a fork for dummies?

[AsakusaRinne]

I'd recommend to pick an example in LLama.Example folder to see if you could get it to work, then try to integrate it into your project.

Of course, asking it in discord is also okay.

[AsakusaRinne]

I'm going close this issue since there's no activity. Please feel free to ask to reopen this issue if there's any other problem.

BTW, now I have my PC available and maybe you could try the following code, if the problem still exists.

    public async static void InitAI()
    {
        // Load a model
        var parameters = new ModelParams(Program.modelPath)
        {
            ContextSize = 1024,
            Seed = 1337,
            GpuLayerCount = 80
        };

        // Initialize chat history
        Program.chatHistory = new ChatHistory(); // Reset chat history to start fresh

        // Concatenate the user prompt to the existing prompt
        Program.chatHistory.AddMessage(AuthorRole.System, "Transcript of a dialog, where the User interacts with an Assistant named Bob. Bob is helpful, kind, honest, good at writing, and never fails to answer the User's requests immediately and with precision.");
        Program.chatHistory.AddMessage(AuthorRole.User, "Hello, Bob.");
        Program.chatHistory.AddMessage(AuthorRole.Assistant, "Hello. How may I help you today?");

        InferenceParams inferenceParams = new InferenceParams()
        {
            MaxTokens = 256, // No more than 256 tokens should appear in answer. Remove it if antiprompt is enough for control.
            AntiPrompts = new List<string> { "User:" } // Stop generation once antiprompts appear.
        };

        var model = LLamaWeights.LoadFromFile(parameters);
        var context = model.CreateContext(parameters);
        var executor = new InteractiveExecutor(context);
        ChatSession session = new ChatSession(executor, Program.chatHistory);

        foreach(var msg in Program.chatHistory.Messages){
            session = await session.AddAndProcessMessage(msg);
        }

        Program._session = session;
    }

    public async static void ProcInput()
    {
        string userPrompt = Program.MainForm.txtInput.Text; // Get the user's input from the TextBox

        Program.MainForm.txtOutput.AppendText("\nUser: " + userPrompt + "\n");
        MainForm.txtInput.Text = "";

        var msg = new ChatHistory.Message(AuthorRole.User, userPrompt);

        // Call ChatAsync with the correct arguments
        await foreach (var text in Program._session.ChatAsync(msg, true, new InferenceParams() { Temperature = 0.9f, AntiPrompts = new List<string> { "User:" } }))
        {
            Program.MainForm.txtOutput.AppendText(text);
        }

        if (Program.MainForm.txtOutput.Lines.Length > 0)
        {
            // Remove the last line
            int lastLineIndex = Program.MainForm.txtOutput.Lines.Length - 1;
            Program.MainForm.txtOutput.Text = string.Join(Environment.NewLine, Program.MainForm.txtOutput.Lines.Take(lastLineIndex));
        }
    }