BotSharp/src/Plugins/BotSharp.Plugin.LLamaSharp/Providers/TextCompletionProvider.cs
2025-02-03 04:02:36 +00:00

76 lines
2.3 KiB
C#

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