Files
Swarm/DysonNetwork.Insight/Thinking/ThinkingController.cs

68 lines
2.7 KiB
C#

using System.ComponentModel.DataAnnotations;
using Microsoft.AspNetCore.Mvc;
using Microsoft.SemanticKernel.ChatCompletion;
using System.Text;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Connectors.Ollama;
namespace DysonNetwork.Insight.Thinking;
[ApiController]
[Route("/api/thinking")]
public class ThinkingController(ThinkingProvider provider) : ControllerBase
{
public class StreamThinkingRequest
{
[Required] public string UserMessage { get; set; } = null!;
}
[HttpPost("stream")]
public async Task ChatStream([FromBody] StreamThinkingRequest request)
{
// Set response for streaming
Response.Headers.Append("Content-Type", "text/event-stream");
Response.StatusCode = 200;
var kernel = provider.Kernel;
var chatCompletionService = kernel.GetRequiredService<IChatCompletionService>();
var chatHistory = new ChatHistory(
"You're a helpful assistant on the Solar Network, a social network.\n" +
"Your name is Sn-chan, a cute sweet heart with passion for almost everything.\n" +
"\n" +
"Your aim is to helping solving questions for the users on the Solar Network.\n" +
"And the Solar Network is the social network platform you live on.\n" +
"When the user ask questions about the Solar Network (also known as SN and Solian), try use the tools you have to get latest and accurate data."
);
chatHistory.AddUserMessage(request.UserMessage);
// Kick off streaming generation
var accumulatedContent = new StringBuilder();
await foreach (var chunk in chatCompletionService.GetStreamingChatMessageContentsAsync(
chatHistory,
new OllamaPromptExecutionSettings
{
FunctionChoiceBehavior = FunctionChoiceBehavior.Auto(
options: new FunctionChoiceBehaviorOptions()
{
AllowParallelCalls = true,
AllowConcurrentInvocation = true
})
},
kernel: kernel
))
{
// Write each chunk to the HTTP response as SSE
var data = chunk.Content ?? "";
accumulatedContent.Append(data);
if (string.IsNullOrEmpty(data)) continue;
var bytes = Encoding.UTF8.GetBytes(data);
await Response.Body.WriteAsync(bytes);
await Response.Body.FlushAsync();
}
// Optionally: after finishing streaming, you can save the assistant message to history.
}
}