BotSharp/src/Infrastructure/BotSharp.Core/Routing/Planning/SequentialPlanner.cs
2024-07-20 22:00:38 -05:00

224 lines
7.4 KiB
C#

using BotSharp.Abstraction.MLTasks;
using BotSharp.Abstraction.Routing.Models;
using BotSharp.Abstraction.Routing.Planning;
using BotSharp.Abstraction.Templating;
namespace BotSharp.Core.Routing.Planning;
public class SequentialPlanner : IPlaner
{
private readonly IServiceProvider _services;
private readonly ILogger _logger;
public bool HideDialogContext => true;
public int MaxLoopCount => 100;
private FunctionCallFromLlm _lastInst;
public SequentialPlanner(IServiceProvider services, ILogger<NaivePlanner> logger)
{
_services = services;
_logger = logger;
}
public async Task<FunctionCallFromLlm> GetNextInstruction(Agent router, string messageId, List<RoleDialogModel> dialogs)
{
var decomposation = await GetDecomposedStepAsync(router, messageId, dialogs);
if (decomposation.TotalRemainingSteps > 0 && _lastInst != null)
{
_lastInst.Response = decomposation.Description;
_lastInst.NextActionReason = $"Having {decomposation.TotalRemainingSteps} steps left.";
return _lastInst;
}
else if (decomposation.TotalRemainingSteps == 0 || decomposation.ShouldStop)
{
if (!string.IsNullOrEmpty(decomposation.StopReason))
{
// Tell router all steps are done
dialogs.Add(new RoleDialogModel(AgentRole.Assistant, decomposation.StopReason)
{
CurrentAgentId = router.Id,
MessageId = messageId
});
router.TemplateDict["conversation"] = router.TemplateDict["conversation"].ToString().TrimEnd() +
$"\r\n{router.Name}: {decomposation.StopReason}";
}
}
var next = GetNextStepPrompt(router);
var inst = new FunctionCallFromLlm();
// text completion
/*var agentService = _services.GetRequiredService<IAgentService>();
var instruction = agentService.RenderedInstruction(router);
var content = $"{instruction}\r\n###\r\n{next}";
content = content + "\r\nResponse: ";
var completion = CompletionProvider.GetTextCompletion(_services);*/
// chat completion
var completion = CompletionProvider.GetChatCompletion(_services,
provider: router?.LlmConfig?.Provider,
model: router?.LlmConfig?.Model);
int retryCount = 0;
while (retryCount < 3)
{
string text = string.Empty;
try
{
// text completion
// text = await completion.GetCompletion(content, router.Id, messageId);
dialogs = new List<RoleDialogModel>
{
new RoleDialogModel(AgentRole.User, next)
{
FunctionName = nameof(SequentialPlanner),
MessageId = messageId
}
};
var response = await completion.GetChatCompletions(router, dialogs);
inst = response.Content.JsonContent<FunctionCallFromLlm>();
break;
}
catch (Exception ex)
{
_logger.LogError($"{ex.Message}: {text}");
inst.Function = "response_to_user";
inst.Response = ex.Message;
inst.AgentName = "Router";
}
finally
{
retryCount++;
}
}
if (decomposation.TotalRemainingSteps > 0)
{
inst.Response = decomposation.Description;
inst.NextActionReason = $"{decomposation.TotalRemainingSteps} steps left.";
inst.HandleDialogsByPlanner = true;
}
_lastInst = inst;
return inst;
}
public List<RoleDialogModel> BeforeHandleContext(FunctionCallFromLlm inst, RoleDialogModel message, List<RoleDialogModel> dialogs)
{
var taskAgentDialogs = new List<RoleDialogModel>
{
new RoleDialogModel(AgentRole.User, inst.Response)
{
MessageId = message.MessageId,
}
};
return taskAgentDialogs;
}
public bool AfterHandleContext(List<RoleDialogModel> dialogs, List<RoleDialogModel> taskAgentDialogs)
{
dialogs.AddRange(taskAgentDialogs.Skip(1));
return true;
}
public async Task<bool> AgentExecuting(Agent router, FunctionCallFromLlm inst, RoleDialogModel message, List<RoleDialogModel> dialogs)
{
// Set user content as Planner's question
message.FunctionName = inst.Function;
message.FunctionArgs = inst.Arguments == null ? "{}" : JsonSerializer.Serialize(inst.Arguments);
return true;
}
public async Task<bool> AgentExecuted(Agent router, FunctionCallFromLlm inst, RoleDialogModel message, List<RoleDialogModel> dialogs)
{
var context = _services.GetRequiredService<IRoutingContext>();
if (message.StopCompletion)
{
context.Empty(reason: $"Agent queue is cleared by {nameof(SequentialPlanner)}");
return false;
}
// Handover to Router;
context.Pop();
var routing = _services.GetRequiredService<IRoutingService>();
routing.ResetRecursiveCounter();
return true;
}
private string GetNextStepPrompt(Agent router)
{
var template = router.Templates.First(x => x.Name == "planner_prompt.sequential").Content;
var render = _services.GetRequiredService<ITemplateRender>();
return render.Render(template, new Dictionary<string, object>
{
});
}
public async Task<DecomposedStep> GetDecomposedStepAsync(Agent router, string messageId, List<RoleDialogModel> dialogs)
{
var systemPrompt = GetDecomposeTaskPrompt(router);
var inst = new DecomposedStep();
var llmProviderService = _services.GetRequiredService<ILlmProviderService>();
var model = llmProviderService.GetProviderModel("azure-openai", "gpt-4");
// chat completion
var completion = CompletionProvider.GetChatCompletion(_services,
provider: "azure-openai",
model: model.Name);
int retryCount = 0;
while (retryCount < 2)
{
string text = string.Empty;
try
{
var response = await completion.GetChatCompletions(new Agent
{
Id = router.Id,
Name = nameof(SequentialPlanner),
Instruction = systemPrompt
}, dialogs);
text = response.Content;
inst = response.Content.JsonContent<DecomposedStep>();
break;
}
catch (Exception ex)
{
_logger.LogError($"{ex.Message}: {text}");
}
finally
{
retryCount++;
}
}
return inst;
}
private string GetDecomposeTaskPrompt(Agent router)
{
var template = router.Templates.First(x => x.Name == "planner_prompt.sequential.get_remaining_task").Content;
var render = _services.GetRequiredService<ITemplateRender>();
return render.Render(template, new Dictionary<string, object>
{
});
}
public Task<FunctionCallFromLlm> GetNextInstruction(Agent router, string messageId)
{
throw new NotImplementedException();
}
}