67b030c3c5
- AI chat with SSE streaming (Microsoft Agent Framework + Qwen) - RAG Q&A with hybrid retrieval (vector + keyword RRF fusion) - Knowledge base CRUD with semantic text chunking - Embedding generation via Azure.AI.OpenAI / LM Studio - Document upload with chunked upload support - Redis caching for chat messages - Chunk/vector preview endpoints - gRPC auth service improvements - Removed demo menus, cleaned up seed data
25 lines
741 B
C#
25 lines
741 B
C#
using FastEndpoints;
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using MediatR;
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using RAG.Application.Chat.Commands;
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using RAG.Application.Chat.DTOs;
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namespace RAG.Api.Endpoints.Chat;
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public class SendMessageEndpoint(IMediator mediator) : Endpoint<SendMessageRequest, SendMessageResponse>
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{
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public override void Configure()
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{
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Post("/chat/conversations/{ConversationId}/messages");
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AllowAnonymous();
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}
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public override async Task HandleAsync(SendMessageRequest req, CancellationToken ct)
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{
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var conversationId = Route<Guid>("ConversationId");
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var result = await mediator.Send(new SendMessageCommand(conversationId, req.Content), ct);
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await Send.OkAsync(result, ct);
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}
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}
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public record SendMessageRequest(string Content);
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