BotSharp/src/Plugins/BotSharp.Plugin.LLamaSharp/Providers/TextCompletionProvider.cs

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namespace BotSharp.Plugin.LLamaSharp.Providers;
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public class TextCompletionProvider : ITextCompletion
{
private readonly IServiceProvider _services;
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private readonly ILogger _logger;
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private readonly LlamaSharpSettings _settings;
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private readonly ITokenStatistics _tokenStatistics;
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private string _model;
public string Provider => "llama-sharp";
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public TextCompletionProvider(IServiceProvider services,
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ILogger<TextCompletionProvider> logger,
LlamaSharpSettings settings,
ITokenStatistics tokenStatistics)
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{
_services = services;
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_logger = logger;
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_settings = settings;
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_tokenStatistics = tokenStatistics;
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}
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public async Task<string> GetCompletion(string text)
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{
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var hooks = _services.GetServices<IContentGeneratingHook>().ToList();
// Before chat completion hook
Task.WaitAll(hooks.Select(hook =>
hook.BeforeGenerating(new Agent(), new List<RoleDialogModel> { new RoleDialogModel(AgentRole.User, text) })).ToArray());
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var llama = _services.GetRequiredService<LlamaAiModel>();
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llama.LoadModel(_model);
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var executor = new InstructExecutor(llama.Model.CreateContext(llama.Params));
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var inferenceParams = new InferenceParams() { Temperature = 0.5f, MaxTokens = 128 };
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_tokenStatistics.StartTimer();
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string completion = "";
await foreach (var response in executor.InferAsync(text, inferenceParams))
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{
Console.Write(response);
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completion += response;
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}
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_tokenStatistics.StopTimer();
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// After chat completion hook
Task.WaitAll(hooks.Select(hook =>
hook.AfterGenerated(new RoleDialogModel(AgentRole.Assistant, completion), new TokenStatsModel
{
Model = _model
})).ToArray());
return completion;
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}
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public void SetModelName(string model)
{
_model = model;
}
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}