Telegram: Bot=Session statt User-Level, Chat-Code-Refactoring
- Telegram-Config (Bot-Token, Webhook-Secret, ChatId) von User-Settings
in sessions-Tabelle verschoben → jede Session hat ihren eigenen Bot
- Link-Code-System komplett entfernt (TelegramLinkRecord gelöscht)
- /start verknüpft automatisch, kein /link mehr nötig
- Alle Endpoints session-basiert: /api/sessions/{id}/telegram/*
- Webhook-URL pro Session: /api/telegram/webhook/{sessionId}
Refactoring: Doppelten Chat-Code eliminiert
- Neuer ChatService: PrepareContext, BuildHistoryFromDb, ResolveModelId
- Neues ChatContext-Model als gemeinsame Datenstruktur
- AnthropicService.ChatNonStreaming() für Telegram (statt eigenem Loop)
- TelegramService um ~180 Zeilen reduziert, kein eigener Claude-Loop mehr
- ChatEndpoint nutzt ChatService.PrepareContext() statt eigener Setup-Logik
- Model-Mapping nur noch an einer Stelle (3x → 1x)
Frontend
- Telegram-Section von Settings-Page in Session-Bearbeitungsseite verschoben
- Webhook-Secret readonly, wird einmalig generiert und persistent gespeichert
- Status wird automatisch geladen, Register/Delete je nach Webhook-Status
- Toast-Notification-System (showToast) in ui.js
- Link-Code-Modal und Telegram-Menüpunkt im Dashboard entfernt
- Telegram-Badge auf Session-Cards (konfiguriert/verbunden)
Bugfix: Bearer statt x-api-key für OAuth-Tokens im TelegramService
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@@ -1,6 +1,5 @@
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using System;
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using System.Collections.Generic;
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using System.IO;
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using System.Linq;
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using System.Net.Http;
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using System.Text.Json;
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@@ -13,7 +12,6 @@ using Microsoft.AspNetCore.Builder;
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using Microsoft.AspNetCore.Http;
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using Microsoft.AspNetCore.Routing;
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using Microsoft.Extensions.Configuration;
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using Microsoft.Extensions.DependencyInjection;
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namespace Gott.Endpoints;
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@@ -24,7 +22,7 @@ public static class ChatEndpoint
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app.MapPost("/api/chat", HandleChat);
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}
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private static async Task HandleChat(HttpRequest req, HttpResponse res, IHttpClientFactory httpFactory, IConfiguration config, ToolService toolService, DatabaseService db, StreamingTracker streamingTracker, MemoryService memoryService, SkillService skillService, CancellationToken cancellationToken)
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private static async Task HandleChat(HttpRequest req, HttpResponse res, IHttpClientFactory httpFactory, IConfiguration config, ChatService chatService, DatabaseService db, StreamingTracker streamingTracker, MemoryService memoryService, ToolService toolService, CancellationToken cancellationToken)
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{
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var body = await JsonSerializer.DeserializeAsync<ChatRequest>(req.Body);
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if (body == null || body.Messages == null || body.Messages.Count == 0)
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@@ -50,91 +48,27 @@ public static class ChatEndpoint
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return;
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}
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// Agent aus Session auflösen
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var userId = req.HttpContext.GetUserId();
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var session = await db.GetSession(sessionId);
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if (session == null || session.UserId != userId || string.IsNullOrEmpty(session.AgentId))
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var maxIterations = config.GetValue<int>("MaxIterations", 100);
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var ctx = await chatService.PrepareContext(sessionId, userId, maxIterations);
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if (ctx == null)
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{
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res.StatusCode = 400;
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await res.WriteAsJsonAsync(new { error = "Kein Agent ausgewählt" });
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await res.WriteAsJsonAsync(new { error = "Session/Agent nicht gefunden oder kein Agent ausgewählt" });
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return;
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}
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var agent = await db.GetAgent(session.AgentId);
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if (agent == null)
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{
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res.StatusCode = 400;
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await res.WriteAsJsonAsync(new { error = "Agent nicht gefunden" });
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return;
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}
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var modelId = agent.Model switch
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{
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"sonnet" => "claude-sonnet-4-6",
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"sonnet-4-5" => "claude-sonnet-4-5",
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"sonnet-4-6" => "claude-sonnet-4-6",
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"opus" => "claude-opus-4-6",
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"opus-4-5" => "claude-opus-4-5",
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"opus-4-6" => "claude-opus-4-6",
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"haiku" => "claude-haiku-4-5",
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"haiku-4-5" => "claude-haiku-4-5",
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_ => "claude-sonnet-4-6"
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};
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res.Headers["Content-Type"] = "text/event-stream";
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res.Headers["Cache-Control"] = "no-cache";
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res.Headers["Connection"] = "keep-alive";
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var markedMessages = await db.GetMarkedMessages(sessionId);
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var agentMemoryDir = memoryService.GetAgentMemoryDir(agent.AgentId);
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var agentSkills = await db.GetAgentSkills(agent.AgentId);
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var user = await db.GetUser(userId);
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var systemPromptText = SystemPromptBuilder.Build(agent, session, markedMessages, memoryService, agentMemoryDir, agentSkills, skillService, userPersona: user?.GetEffectivePersona());
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var chainId = Guid.NewGuid().ToString("N");
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var workspace = session.Workspace;
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// Skills brauchen Tool-Use (execute) – wenn Skills aktiv aber kein Workspace gesetzt,
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// /tmp als Fallback-Workspace setzen damit die Tool-Definitionen generiert werden.
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if (string.IsNullOrEmpty(workspace) && agentSkills.Any())
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workspace = "/tmp";
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var toolChoice = agent.ToolChoice ?? "any";
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var hasWorkspace = !string.IsNullOrEmpty(workspace);
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var includeMemory = agent.UseMemory && !string.IsNullOrEmpty(agent.AgentId);
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var toolDefs = (hasWorkspace || includeMemory)
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? toolService.GetToolDefinitions(includeFileTools: hasWorkspace, includeMemory: includeMemory)
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: Array.Empty<object>();
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var toolNames = toolDefs.Length > 0
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? JsonSerializer.Serialize(toolDefs.Select(td =>
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{
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var json = JsonSerializer.Serialize(td);
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var el = JsonSerializer.Deserialize<JsonElement>(json);
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return el.GetProperty("name").GetString();
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}).ToArray())
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: null;
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await db.CreateChain(new ChainRecord
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{
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ChainId = chainId,
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SessionId = sessionId,
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AgentId = agent.AgentId,
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Model = modelId,
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SystemPrompt = systemPromptText,
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ToolChoice = (hasWorkspace || includeMemory) ? toolChoice : null,
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ToolNames = toolNames
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});
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// Session-Timestamp aktualisieren
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await db.UpdateSessionTimestamp(sessionId);
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// Messages aus dem Request aufbereiten
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var messages = new List<object>();
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foreach (var msg in body.Messages)
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{
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// Content bereinigen: interne Felder (_file_name) entfernen
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JsonElement content = msg.Content;
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if (msg.Content.ValueKind == System.Text.Json.JsonValueKind.Array)
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if (msg.Content.ValueKind == JsonValueKind.Array)
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{
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var node = System.Text.Json.Nodes.JsonNode.Parse(msg.Content.GetRawText());
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foreach (var block in node.AsArray())
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@@ -157,7 +91,6 @@ public static class ChatEndpoint
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if (lastUserMsg != null)
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{
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var textContent = lastUserMsg.GetTextContent();
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var attachmentInfos = lastUserMsg.GetAttachments();
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var attachmentBlocks = lastUserMsg.GetAttachmentBlocks();
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var attachmentRecords = attachmentBlocks.Select(b => new AttachmentRecord
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@@ -170,7 +103,7 @@ public static class ChatEndpoint
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await db.SaveMessageWithAttachments(new MessageRecord
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{
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ChainId = chainId,
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ChainId = ctx.ChainId,
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Iteration = 0,
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Role = "user",
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Type = "text",
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@@ -178,20 +111,11 @@ public static class ChatEndpoint
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}, attachmentRecords);
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}
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var systemPrompt = string.IsNullOrWhiteSpace(systemPromptText)
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? new List<object>()
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: new List<object> { new { type = "text", text = systemPromptText } };
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if (!string.IsNullOrEmpty(workspace))
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Directory.CreateDirectory(workspace);
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var maxIterations = config.GetValue<int>("MaxIterations", 100);
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var anthropic = new AnthropicService(httpFactory, token, toolService, db, memoryService);
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streamingTracker.Start(sessionId, chainId);
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streamingTracker.Start(sessionId, ctx.ChainId);
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try
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{
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await anthropic.StreamChat(res, modelId, systemPrompt, messages, chainId, workspace, sessionId, agentId: agent.AgentId, useMemory: agent.UseMemory, webSearchVersion: agent.WebSearchVersion, maxIterations: maxIterations, toolChoice: toolChoice, cancellationToken: cancellationToken);
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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: ctx.ToolChoice, cancellationToken: cancellationToken);
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}
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finally
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{
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