Files
gott/Endpoints/ChatEndpoint.cs
T
Meleki 47d6f44e07 Auto-Reminder alle 30 Messages + History-Limit 120
- SystemPromptBuilder.BuildReminder(): generiert automatisch Reminder-Text
  aus den aktiven Prompt-Blöcken (Identity, Workspace, Memory, etc.)
- Alle ~30 Messages wird ein [System Reminder]-Paar in die History injiziert
  (nur nach assistant-Messages, um user/assistant-Alternierung zu wahren)
- History auf maximal 120 Messages begrenzt (älteste werden entfernt)
- ChatContext um PromptBlocks-Property erweitert
- Alle Aufrufer (ChatEndpoint, TelegramService, CronjobService) übergeben
  promptBlocks an BuildHistoryFromDb
2026-03-09 06:35:35 +01:00

208 lines
8.4 KiB
C#

using System.Collections.Generic;
using System.Linq;
using System.Text.Json;
using System.Threading;
using System.Threading.Tasks;
using Gott.Extensions;
using Gott.Models;
using Gott.Services;
using Microsoft.AspNetCore.Builder;
using Microsoft.AspNetCore.Http;
using Microsoft.AspNetCore.Routing;
using Microsoft.Extensions.Configuration;
namespace Gott.Endpoints;
public static class ChatEndpoint
{
public static void MapChatEndpoint(this IEndpointRouteBuilder app)
{
app.MapPost("/api/chat", HandleChat);
app.MapPost("/api/chat/stop", HandleStop);
}
private static async Task HandleChat(HttpRequest req, HttpResponse res, IConfiguration config, ChatService chatService, DatabaseService db, StreamingTracker streamingTracker, AnthropicService anthropic, CancellationToken cancellationToken)
{
var body = await JsonSerializer.DeserializeAsync<ChatRequest>(req.Body);
if (body == null)
{
res.StatusCode = 400;
await res.WriteAsJsonAsync(new { error = "body required" });
return;
}
var sessionId = body.SessionId;
if (string.IsNullOrEmpty(sessionId))
{
res.StatusCode = 400;
await res.WriteAsJsonAsync(new { error = "sessionId required" });
return;
}
// Prüfe ob dies eine Choice-Antwort ist (ask_user_choice response)
var isChoiceResponse = !string.IsNullOrEmpty(body.ChoiceToolCallId) && !string.IsNullOrEmpty(body.ChoiceResult);
if (!isChoiceResponse && body.Content.ValueKind == JsonValueKind.Undefined)
{
res.StatusCode = 400;
await res.WriteAsJsonAsync(new { error = "content required" });
return;
}
var userId = req.HttpContext.GetUserId();
var maxIterations = config.GetValue<int>("MaxIterations", 100);
// Bei Choice-Response: planMode vom vorherigen Chain übernehmen
var effectivePlanMode = body.PlanMode;
if (isChoiceResponse && !effectivePlanMode)
{
var prevChainId = await chatService.FindChainWithToolCall(sessionId, body.ChoiceToolCallId);
if (prevChainId != null)
{
var prevChain = await db.GetChain(prevChainId);
if (prevChain != null) effectivePlanMode = prevChain.PlanMode;
}
}
var ctx = await chatService.PrepareContext(sessionId, userId, maxIterations, planMode: effectivePlanMode);
if (ctx == null)
{
res.StatusCode = 400;
await res.WriteAsJsonAsync(new { error = "Session/Agent nicht gefunden oder kein Agent ausgewählt" });
return;
}
if (isChoiceResponse)
{
// Choice-Antwort: tool_result in die VORHERIGE Chain speichern (wo der tool_use liegt)
// Damit BuildHistoryFromDb die tool_use + tool_result korrekt zusammenbauen kann.
var previousChainId = await chatService.FindChainWithToolCall(sessionId, body.ChoiceToolCallId);
if (previousChainId != null)
{
await db.SaveMessage(new MessageRecord
{
ChainId = previousChainId,
Iteration = 999, // Hohe Iteration damit es nach dem tool_use kommt
Role = "user",
Type = "tool_result",
ToolCallId = body.ChoiceToolCallId,
Content = body.ChoiceResult
});
}
else
{
// Fallback: In aktuelle Chain speichern
await db.SaveMessage(new MessageRecord
{
ChainId = ctx.ChainId,
Iteration = 0,
Role = "user",
Type = "tool_result",
ToolCallId = body.ChoiceToolCallId,
Content = body.ChoiceResult
});
}
}
else
{
// Normale User-Message aufbereiten und speichern
var userMessage = new ChatMessage { Role = "user", Content = body.Content };
var textContent = userMessage.GetTextContent();
var attachmentBlocks = userMessage.GetAttachmentBlocks();
var attachmentRecords = attachmentBlocks.Select(b => new AttachmentRecord
{
Type = b.Type,
MediaType = b.MediaType,
FileName = b.FileName,
Data = b.Data
}).ToList();
await db.SaveMessageWithAttachments(new MessageRecord
{
ChainId = ctx.ChainId,
Iteration = 0,
Role = "user",
Type = "text",
Content = textContent
}, attachmentRecords);
}
res.Headers["Content-Type"] = "text/event-stream";
res.Headers["Cache-Control"] = "no-cache";
res.Headers["Connection"] = "keep-alive";
// ── Preparer-Agent Phase (vor dem Worker) ──
if (ctx.Preparer != null && !isChoiceResponse)
{
// Preparer bekommt History MIT seinen eigenen vorherigen Messages (Tag "preparer"),
// damit er den Kontext seiner Rückfragen kennt
var preparerHistory = await chatService.BuildHistoryFromDb(sessionId, includeTag: "preparer", promptBlocks: ctx.PromptBlocks);
var preparerResult = await anthropic.RunPreparer(
res, ctx.Preparer, preparerHistory, ctx.ChainId, ctx.Workspace, sessionId, cancellationToken);
if (!preparerResult.ShouldForward)
{
// Preparer hat eine Rückfrage → Antwort als Text streamen, Flow beenden
// Preparer-Antwort wird schon in RunAgentChat in DB gespeichert
await AnthropicService.WriteSseEvent(res, "done", new
{
chainId = ctx.ChainId,
stopReason = "preparer_query",
planMode = ctx.PlanMode
}, cancellationToken);
return;
}
// Preparer ist zufrieden → aufbereiteten Prompt in DB speichern
if (!string.IsNullOrWhiteSpace(preparerResult.ForwardedPrompt))
{
await db.SaveMessage(new MessageRecord
{
ChainId = ctx.ChainId,
Iteration = 0,
Role = "user",
Type = "text",
Content = $"[Vorbereitet von {ctx.Preparer.Agent?.Name ?? "Vorbereiter-Agent"}]:\n{preparerResult.ForwardedPrompt}"
});
}
}
// History für den Session-Agent: OHNE Sub-Agent-Messages (saubere History)
var messages = await chatService.BuildHistoryFromDb(sessionId, promptBlocks: ctx.PromptBlocks);
// Bei Choice-Response: toolChoice auf "auto" setzen, damit Claude frei antworten kann
var effectiveToolChoice = isChoiceResponse ? "auto" : ctx.ToolChoice;
// CancellationToken: Verknüpft Stop-Button (über StreamingTracker) + Client-Disconnect
var stopCts = streamingTracker.Start(sessionId, ctx.ChainId);
using var linkedCts = CancellationTokenSource.CreateLinkedTokenSource(cancellationToken, stopCts.Token);
try
{
await anthropic.StreamChat(res, ctx.ModelId, ctx.SystemPrompt, messages, ctx.ChainId, ctx.Workspace, sessionId, agentId: ctx.AgentId, useMemory: ctx.UseMemory, webSearchVersion: ctx.WebSearchVersion, maxIterations: ctx.MaxIterations, toolChoice: effectiveToolChoice, review: ctx.Review, finalizer: ctx.Finalizer, allowUserChoice: ctx.Agent?.AllowUserChoice ?? true, planMode: ctx.PlanMode, cancellationToken: linkedCts.Token);
}
finally
{
streamingTracker.Stop(sessionId);
}
}
private static async Task HandleStop(HttpRequest req, HttpResponse res, StreamingTracker streamingTracker)
{
var body = await JsonSerializer.DeserializeAsync<JsonElement>(req.Body);
var sessionId = body.TryGetProperty("sessionId", out var sid) ? sid.GetString() : null;
if (string.IsNullOrEmpty(sessionId))
{
res.StatusCode = 400;
await res.WriteAsJsonAsync(new { error = "sessionId required" });
return;
}
var cancelled = streamingTracker.Cancel(sessionId);
await res.WriteAsJsonAsync(new { stopped = cancelled });
}
}