BotSharp/src/Infrastructure/BotSharp.Core/Planning/FeedbackReasoningPlanner.cs

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2023-10-28 20:59:26 +00:00
using BotSharp.Abstraction.Agents.Models;
using BotSharp.Abstraction.Functions.Models;
using BotSharp.Abstraction.Planning;
using BotSharp.Abstraction.Templating;
namespace BotSharp.Core.Planning;
public class FeedbackReasoningPlanner : IPlaner
{
private readonly IServiceProvider _services;
private readonly ILogger _logger;
public FeedbackReasoningPlanner(IServiceProvider services, ILogger<FeedbackReasoningPlanner> logger)
{
_services = services;
_logger = logger;
}
public async Task<FunctionCallFromLlm> GetNextInstruction(Agent router, string conversation)
{
var next = GetNextStepPrompt(router);
RoleDialogModel response = default;
var inst = new FunctionCallFromLlm();
var content = $"{conversation}\r\n###\r\n{next}";
var completion = CompletionProvider.GetChatCompletion(_services,
model: "llm-gpt4");
int retryCount = 0;
while (retryCount < 3)
{
try
{
response = completion.GetChatCompletions(router, new List<RoleDialogModel>
{
new RoleDialogModel(AgentRole.User, content)
});
inst = response.Content.JsonContent<FunctionCallFromLlm>();
break;
}
catch (Exception ex)
{
_logger.LogError($"{ex.Message}: {response.Content}");
inst.Function = "response_to_user";
inst.Response = ex.Message;
inst.AgentName = "Router";
}
finally
{
retryCount++;
}
}
return inst;
}
public async Task<bool> AgentExecuted(FunctionCallFromLlm inst, RoleDialogModel message)
{
inst.AgentName = null;
return true;
}
private string GetNextStepPrompt(Agent router)
{
var template = router.Templates.First(x => x.Name == "next_step_prompt").Content;
var render = _services.GetRequiredService<ITemplateRender>();
return render.Render(template, new Dictionary<string, object>
{
});
}
}