using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Text;
using System.Text.Json;
using System.Threading;
using System.Threading.Tasks;
using Gott.Endpoints;
using Gott.Models;
using Microsoft.AspNetCore.Http;

namespace Gott.Services;

public partial class AnthropicService
{
    private static string _cachedPythonCmd;
    private static bool _pythonCmdChecked;

    /// <summary>
    /// Streaming-Chat über die Claude CLI.
    /// Die CLI verwendet das lokale Token aus ~/.claude/.credentials.json.
    /// </summary>
    public async Task StreamChatViaCli(
        HttpResponse response,
        string modelId,
        List<object> systemPrompt,
        List<object> messages,
        string chainId,
        string workspace = null,
        bool allowUserChoice = false,
        bool planMode = false,
        bool webSearch = false,
        string sessionId = null,
        string agentId = null,
        RemoteConnectionManager remoteMgr = null,
        string unityMcpUrl = null,
        string unityMcpToken = null,
        bool useAutoContext = true,
        string effort = null,
        TokenUsage seedUsage = null,
        CancellationToken workCt = default,
        CancellationToken sseCt = default)
    {
        if (_cliService == null || !_cliService.IsAvailable)
        {
            await SseHelper.TryWriteSse(response, "error", new { error = "Claude CLI nicht verfügbar" }, sseCt);
            await SseHelper.TryWriteSse(response, "done", new { chainId }, sseCt);
            return;
        }

        var sw = System.Diagnostics.Stopwatch.StartNew();
        var usage = new TokenUsage();
        // Panel-Member-Tokens (Fusion/MoA) vorab in die Chain-Usage falten → erscheinen im
        // done-Event (Live-Badge) UND in FinalizeChain (DB, überlebt F5). Null/leer = No-op.
        if (seedUsage != null) usage.Add(seedUsage);
        var fullText = new StringBuilder();
        var tempImagePaths = new List<string>();
        string mcpConfigPath = null;
        bool isUserChoice = false;
        CancellationTokenSource segCts = null;   // aktuelles CLI-Segment (Kill-and-Restart-Steering)

        var chain = new ChainRecord
        {
            ChainId = chainId,
            SessionId = sessionId,
            Model = modelId
        };

        try
        {
            // MCP-Config generieren (immer – für ask_user_choice, optional Memory-Tools + remote_execute)
            var remoteConn = remoteMgr != null && !string.IsNullOrEmpty(sessionId) ? remoteMgr.GetBySessionId(sessionId) : null;
            var hasRemote = remoteConn != null;
            var remoteOs = remoteConn?.OsVersion ?? "";
            mcpConfigPath = GenerateMcpConfig(sessionId, agentId, hasRemote, unityMcpUrl, unityMcpToken, remoteOs, modelId, webSearch);

            // Python-Verfügbarkeit prüfen und ggf. warnen
            if (FindPythonCommand() == null)
                await SseHelper.TryWriteSse(response, "warning", new { message = "⚠ Python wurde nicht gefunden (python3/python/py). MCP-Tools (Remote-Execute, Memory, etc.) sind nicht verfügbar." }, sseCt);

            // System-Prompt als Text extrahieren
            var systemText = new StringBuilder();
            if (systemPrompt != null)
            {
                foreach (var block in systemPrompt)
                {
                    var json = JsonSerializer.Serialize(block);
                    var el = JsonSerializer.Deserialize<JsonElement>(json);
                    if (el.TryGetProperty("text", out var t))
                        systemText.AppendLine(t.GetString());
                }
            }


            // ── Automatische Kontext-Injektion via Embedding-Suche (wie in StreamChat) ──
            if (useAutoContext && messages.Count > 0)
            {
                try
                {
                    var autoCtx = await BuildAutoContextAsync(_vectorSearch, messages, chainId, agentId);
                    if (autoCtx != null)
                    {
                        systemText.AppendLine(autoCtx);
                        await SseHelper.TryWriteSse(response, "auto_context", new { context = autoCtx }, sseCt);
                        await _db.SaveMessage(new MessageRecord
                        {
                            ChainId = chainId,
                            Role = "system",
                            Type = "auto_context",
                            Content = autoCtx
                        });
                    }
                }
                catch (Exception ex)
                {
                    Console.WriteLine($"[AutoContext/CLI] Error: {ex.Message}");
                }
            }

            // Letzte User-Message als Prompt extrahieren
            var prompt = ExtractLastUserText(messages) ?? "";

            // Bild-Attachments aus letzter User-Message als Temp-Dateien speichern
            // (CLI kann Bilder nicht inline empfangen, aber per Read-Tool lesen)
            var imageRefs = ExtractLastUserImageRefs(messages, tempImagePaths);
            if (!string.IsNullOrEmpty(imageRefs))
            {
                prompt = imageRefs + "\n" + prompt;
            }

            // Konversations-History als Kontext zum Prompt hinzufügen
            var historyContext = BuildHistoryContext(messages);
            if (!string.IsNullOrEmpty(historyContext))
            {
                prompt = $"<conversation_history>\n{historyContext}\n</conversation_history>\n\n<current_request>\n{prompt}\n</current_request>";
            }

            string choiceToolCallId = null;

            // ── Kill-and-Restart-Steering ──
            // Der Agentic-Loop läuft INNERHALB von `claude -p` – gott sieht nur Events,
            // echtes Mid-Turn-Inject ist über die CLI nicht möglich (Einwürfe würden nur
            // gequeued). Stattdessen: kommt während eines Laufs ein Einwurf rein, killen wir
            // den Child am nächsten Tool-Boundary, hängen den bisherigen Verlauf + den Einwurf
            // an den Prompt und starten die CLI neu (Abbruch-Semantik – mehr geht über die CLI nicht).
            var basePrompt = prompt;
            var currentPrompt = prompt;
            int totalTurns = 0;
            double totalCost = 0;
            int steerRestartCount = 0;
            CliChatResult result = null;
            bool steerRestart;
            bool segSteerTriggered = false;

            // Event-Handler als lokale Funktion (damit der Restart-Loop flach bleibt)
            async Task HandleCliEvent(CliStreamEvent evt)
            {
                switch (evt.Type)
                {
                    case CliEventType.TextStart:
                        await SseHelper.TryWriteSse(response, "text_start", new { index = 0 }, sseCt);
                        break;
                    case CliEventType.TextDelta:
                        fullText.Append(evt.Text);
                        await SseHelper.TryWriteSse(response, "text_delta", new { text = evt.Text }, sseCt);
                        break;
                    case CliEventType.TextEnd:
                        await SseHelper.TryWriteSse(response, "text_end", new { }, sseCt);
                        break;
                    case CliEventType.ToolStart:
                    {
                        // Text-Puffer flushen bevor Tool-Use gespeichert wird (korrekte Reihenfolge in DB)
                        if (fullText.Length > 0)
                        {
                            var textForEmbed = fullText.ToString();
                            var msgId = await _db.SaveMessage(new MessageRecord
                            {
                                ChainId = chainId,
                                Iteration = 1,
                                Role = "assistant",
                                Type = "text",
                                Content = textForEmbed
                            });
                            _embeddingBg?.Enqueue(msgId, chainId, sessionId, agentId, "assistant", textForEmbed);
                            fullText.Clear();
                        }
                        var mappedName = MapCliToolName(evt.ToolName);
                        await SseHelper.TryWriteSse(response, "tool_start", new { name = mappedName, id = evt.ToolId }, sseCt);
                        break;
                    }
                    case CliEventType.ToolEnd:
                    {
                        var mappedName = MapCliToolName(evt.ToolName);
                        var mappedInput = MapCliToolInput(evt.ToolName, evt.ToolInput);
                        // Tool-Use in DB speichern (damit Poll die Tools anzeigt)
                        await _db.SaveMessage(new MessageRecord
                        {
                            ChainId = chainId,
                            Iteration = 1,
                            Role = "assistant",
                            Type = "tool_use",
                            ToolName = mappedName,
                            ToolCallId = evt.ToolId,
                            Content = mappedInput
                        });
                        await SseHelper.TryWriteSse(response, "tool_end", new { name = mappedName, id = evt.ToolId, input = mappedInput }, sseCt);

                        // ask_user_choice via MCP: TCS erstellen + SSE user_choice Event
                        if (mappedName == "ask_user_choice")
                        {
                            try
                            {
                                var choiceInput = JsonSerializer.Deserialize<JsonElement>(mappedInput);
                                var cQuestion = choiceInput.TryGetProperty("question", out var cq) ? cq.GetString() ?? "" : "";
                                var cChoices = new List<string>();
                                if (choiceInput.TryGetProperty("choices", out var cc) && cc.ValueKind == JsonValueKind.Array)
                                    foreach (var cOpt in cc.EnumerateArray())
                                        cChoices.Add(cOpt.GetString() ?? "");

                                // Alte Antwort entfernen (falls vorhanden)
                                InternalEndpoint.ChoiceAnswers.TryRemove(sessionId, out _);

                                // SSE Event mit viaCli-Flag → Frontend zeigt Buttons + nutzt choice-respond Endpoint
                                choiceToolCallId = evt.ToolId;
                                await SseHelper.TryWriteSse(response, "user_choice", new
                                {
                                    toolCallId = evt.ToolId,
                                    question = cQuestion,
                                    choices = cChoices,
                                    viaCli = true
                                }, sseCt);

                                isUserChoice = true;
                            }
                            catch (JsonException) { /* Input nicht parsbar – MCP-Server gibt Fehler */ }
                        }
                        break;
                    }
                    case CliEventType.ToolResult:
                    {
                        // Tool-Result in DB speichern (damit es beim Neuladen sichtbar ist)
                        var resultContent = SseHelper.TruncateToolResult(evt.ToolResultContent ?? "");
                        await _db.SaveMessage(new MessageRecord
                        {
                            ChainId = chainId,
                            Iteration = 1,
                            Role = "user",
                            Type = "tool_result",
                            ToolCallId = evt.ToolId,
                            Content = resultContent,
                            IsError = evt.ToolResultIsError
                        });
                        // SSE Event an Client senden
                        await SseHelper.TryWriteSse(response, "tool_result", new
                        {
                            id = evt.ToolId,
                            result = resultContent,
                            isError = evt.ToolResultIsError
                        }, sseCt);

                        // ask_user_choice wurde gerade beantwortet (Result des Choice-Tools kam zurück)
                        // → Choice-Pause aufheben: die CLI nimmt die Arbeit in DERSELBEN Invocation
                        // wieder auf, also muss Steering ab hier wieder greifen. Ohne diesen Reset
                        // bliebe isUserChoice für den Rest des Laufs true und ein Einwurf käme erst
                        // ganz am Chain-Ende (als Close()-Leftover) an statt am nächsten Boundary.
                        if (isUserChoice && choiceToolCallId != null && evt.ToolId == choiceToolCallId)
                        {
                            isUserChoice = false;
                            choiceToolCallId = null;
                        }

                        // Steering: Tool-Boundary erreicht – steht ein Einwurf an, Child killen
                        // (löst OperationCanceledException aus → Restart unten).
                        if (!segSteerTriggered && !isUserChoice
                            && _steeringQueue != null && !string.IsNullOrEmpty(sessionId)
                            && _steeringQueue.HasPending(sessionId))
                        {
                            segSteerTriggered = true;
                            try { segCts?.Cancel(); } catch { }
                        }
                        break;
                    }
                }
            }

            do
            {
                steerRestart = false;
                segSteerTriggered = false;
                segCts?.Dispose();
                segCts = CancellationTokenSource.CreateLinkedTokenSource(workCt);

                try
                {
                    result = await _cliService.ChatStreamingAsync(
                        currentPrompt,
                        HandleCliEvent,
                        modelId: modelId,
                        systemPrompt: systemText.Length > 0 ? systemText.ToString() : null,
                        workspace: workspace,
                        hasWorkspace: !string.IsNullOrEmpty(workspace),
                        planMode: planMode,
                        webSearch: webSearch,
                        mcpConfigPath: mcpConfigPath,
                        hasUnityMcp: !string.IsNullOrEmpty(unityMcpUrl),
                        effort: effort,
                        cancellationToken: segCts.Token
                    );
                }
                catch (OperationCanceledException) when (segSteerTriggered && !workCt.IsCancellationRequested)
                {
                    // Steering-Kill (kein echter Abbruch) → Restart unten vorbereiten
                    result = null;
                }

                // Tokens des abgeschlossenen Segments akkumulieren (bei Kill: result == null)
                if (result != null)
                {
                    usage.InputTokens += result.InputTokens;
                    usage.OutputTokens += result.OutputTokens;
                    usage.CacheReadTokens += result.CacheReadTokens;
                    usage.CacheCreationTokens += result.CacheCreationTokens;
                    totalCost += result.CostUsd;
                    totalTurns += result.NumTurns > 0 ? result.NumTurns : 1;
                }

                // Restart nötig? (a) Kill am Tool-Boundary, (b) Einwurf kam erst am Turn-Ende rein
                bool steerPending = !isUserChoice && _steeringQueue != null
                    && !string.IsNullOrEmpty(sessionId) && _steeringQueue.HasPending(sessionId);
                if (segSteerTriggered || steerPending)
                {
                    steerRestart = true;
                    Console.WriteLine($"[CLI-Steering] Restart #{++steerRestartCount} (chain {chainId})");

                    // 1. Bisher gepufferten Assistant-Text dieses Segments persistieren
                    if (fullText.Length > 0)
                    {
                        var partial = fullText.ToString();
                        var pid = await _db.SaveMessage(new MessageRecord
                        {
                            ChainId = chainId, Iteration = 1,
                            Role = "assistant", Type = "text", Content = partial
                        });
                        _embeddingBg?.Enqueue(pid, chainId, sessionId, agentId, "assistant", partial);
                        fullText.Clear();
                    }

                    // 2. Verlauf dieses Durchlaufs aus der DB als Transkript (vor dem Persistieren der neuen Einwürfe)
                    var progressLog = await BuildCliProgressLog(chainId);

                    // 3. Einwürfe entnehmen, RAW persistieren (Type=steer), via SSE melden, gewrappt sammeln
                    var steers = _steeringQueue.Drain(sessionId);
                    var wrapped = new StringBuilder();
                    foreach (var steer in steers)
                    {
                        var sid = await _db.SaveMessage(new MessageRecord
                        {
                            ChainId = chainId, Iteration = 1,
                            Role = "user", Type = "steer", Content = steer
                        });
                        _embeddingBg?.Enqueue(sid, chainId, sessionId, agentId, "user", steer);
                        await SseHelper.TryWriteSse(response, "steer_injected", new { text = steer }, sseCt);
                        wrapped.AppendLine(WrapSteeringMessage(steer));
                    }

                    // 4. Restart-Prompt: Basis-Prompt + bisheriger Verlauf + Einwürfe
                    var sb = new StringBuilder(basePrompt);
                    if (!string.IsNullOrEmpty(progressLog))
                    {
                        sb.Append("\n\n<work_in_progress>\nDu arbeitest bereits an obiger Aufgabe. Bisheriger Verlauf in diesem Durchlauf (Text, Tool-Aufrufe, Ergebnisse):\n");
                        sb.Append(progressLog);
                        sb.Append("\n\nWICHTIG: Setze die Aufgabe JETZT aktiv fort und bringe sie in diesem Durchlauf zu Ende. Bestätige den Einwurf NICHT nur und beende dann den Turn – arbeite die noch offenen Schritte selbst weiter ab. Falls du zuvor Hintergrund-/Async-Operationen gestartet hattest (z.B. Background-Bash-Tasks, lange Sleeps): diese wurden durch den Neustart beendet und existieren NICHT mehr – warte nicht passiv auf sie, sondern starte sie neu, falls für die Fertigstellung nötig.\n</work_in_progress>");
                    }
                    sb.Append("\n\n");
                    sb.Append(wrapped.ToString().Trim());
                    currentPrompt = sb.ToString();
                }
            }
            while (steerRestart && !workCt.IsCancellationRequested);

            // Bei CLI-Fehler → Fehlermeldung an Client senden und in DB speichern
            if (result != null && !result.Success && !isUserChoice)
            {
                var errorMsg = !string.IsNullOrEmpty(result.Error) ? result.Error : "CLI hat keine Antwort geliefert";
                // Error in DB speichern (damit er beim Neuladen sichtbar ist)
                await _db.SaveMessage(new MessageRecord
                {
                    ChainId = chainId,
                    Iteration = 1,
                    Role = "system",
                    Type = "error",
                    Content = $"CLI-Fehler: {errorMsg}"
                });
                await SseHelper.TryWriteSse(response, "error", new { error = $"CLI-Fehler: {errorMsg}" }, sseCt);
            }

            // Antwort in DB speichern (finaler Text des letzten Segments)
            if (fullText.Length > 0)
            {
                var finalText = fullText.ToString();
                var msgId = await _db.SaveMessage(new MessageRecord
                {
                    ChainId = chainId,
                    Iteration = 1,
                    Role = "assistant",
                    Type = "text",
                    Content = finalText
                });
                _embeddingBg?.Enqueue(msgId, chainId, sessionId, agentId, "assistant", finalText);
            }

            // Token-Usage wurde segmentweise in usage/totalTurns/totalCost akkumuliert (siehe Restart-Loop)
            var stopReason = isUserChoice ? "awaiting_user_choice" : (result != null && result.Success ? "end_turn" : "error");
            await FinalizeChain(chain, usage, totalTurns > 0 ? totalTurns : 1, stopReason, sw);

            await SseHelper.TryWriteSse(response, "done", new
            {
                model = modelId,
                inputTokens = usage.InputTokens,
                outputTokens = usage.OutputTokens,
                cacheCreationTokens = usage.CacheCreationTokens,
                cacheReadTokens = usage.CacheReadTokens,
                costUsd = totalCost,
                iterations = totalTurns > 0 ? totalTurns : 1,
                chainId,
                durationMs = sw.ElapsedMilliseconds,
                stopReason,
                effort,
                viaCli = true
            }, sseCt);
        }
        catch (OperationCanceledException) when (workCt.IsCancellationRequested)
        {
            // Stop-Button gedrückt → CLI-Prozess wurde gestoppt
            // Wenn ask_user_choice aktiv war: als awaiting_user_choice markieren,
            // damit die nächste Chain den Kontext (Frage + Optionen) behält.
            var stoppedReason = isUserChoice ? "awaiting_user_choice" : "stopped";
            await FinalizeChain(chain, usage, 1, stoppedReason, sw);
            await SseHelper.TryWriteSse(response, "done", new
            {
                model = modelId,
                chainId,
                durationMs = sw.ElapsedMilliseconds,
                stopReason = stoppedReason,
                effort,
                viaCli = true
            }, CancellationToken.None);
        }
        catch (OperationCanceledException)
        {
            // Client-Disconnect (sseCt gecancelled, aber NICHT workCt)
            // CLI-Prozess läuft weiter im Hintergrund – hier nur Chain finalisieren
            // (sollte nicht mehr passieren, da CLI jetzt workCt nutzt)
            await FinalizeChain(chain, usage, 1, "client_disconnected", sw);
        }
        catch (Exception ex)
        {
            var errorMsg = $"CLI-Fehler: {ex.Message}";
            await _db.SaveMessage(new MessageRecord
            {
                ChainId = chainId,
                Iteration = 1,
                Role = "system",
                Type = "error",
                Content = errorMsg
            });
            await SseHelper.TryWriteSse(response, "error", new { error = errorMsg }, sseCt);
            await FinalizeChain(chain, usage, 1, "error", sw);
            await SseHelper.TryWriteSse(response, "done", new
            {
                model = modelId,
                chainId,
                durationMs = sw.ElapsedMilliseconds,
                stopReason = "error",
                effort,
                viaCli = true
            }, sseCt);
        }
        finally
        {
            segCts?.Dispose();

            // Temp-Bilddateien aufräumen
            CleanupTempImages(tempImagePaths);

            // MCP-Config Temp-Datei aufräumen
            if (mcpConfigPath != null)
            {
                try { File.Delete(mcpConfigPath); } catch { }
            }
        }
    }

    /// <summary>
    /// Baut aus den bereits gespeicherten Messages einer Chain ein kompaktes Verlauf-Transkript
    /// für den Kill-and-Restart-Steering-Prompt (was hat das Modell in diesem Durchlauf bereits getan).
    /// </summary>
    private async Task<string> BuildCliProgressLog(string chainId)
    {
        var msgs = await _db.GetChainMessages(chainId);
        var sb = new StringBuilder();
        foreach (var m in msgs)
        {
            switch (m.Type)
            {
                case "text":
                    if (m.Role == "assistant" && !string.IsNullOrWhiteSpace(m.Content))
                        sb.AppendLine("[Du]: " + m.Content.Trim());
                    break;
                case "tool_use":
                    sb.AppendLine($"[Du hast aufgerufen: {m.ToolName}] {TruncateForLog(m.Content, 600)}");
                    break;
                case "tool_result":
                    sb.AppendLine($"[Ergebnis{(m.IsError ? " (Fehler)" : "")}]: {TruncateForLog(m.Content, 600)}");
                    break;
                case "steer":
                    sb.AppendLine("[Vorheriger Live-Einwurf des Users]: " + (m.Content ?? "").Trim());
                    break;
            }
        }
        return sb.ToString().Trim();
    }

    private static string TruncateForLog(string s, int max)
    {
        if (string.IsNullOrEmpty(s)) return "";
        s = s.Replace("\r", " ").Replace("\n", " ").Trim();
        return s.Length <= max ? s : s.Substring(0, max) + " …[gekürzt]";
    }

    /// <summary>
    /// Non-Streaming Chat über die Claude CLI für Telegram (und andere Caller, die kein SSE brauchen).
    /// Sammelt den finalen Text und gibt ihn zurück. Persistiert Text, Tool-Use und Tool-Result in der DB,
    /// damit die History im Web-UI korrekt rekonstruiert werden kann.
    /// </summary>
    public async Task<string> ChatNonStreamingViaCli(
        ChatContext ctx,
        List<object> messages,
        Func<int, Task> onIteration = null,
        CancellationToken cancellationToken = default)
    {
        if (_cliService == null || !_cliService.IsAvailable)
            return "";

        var sw = System.Diagnostics.Stopwatch.StartNew();
        var usage = new TokenUsage();
        var tempImagePaths = new List<string>();

        var chain = new ChainRecord
        {
            ChainId = ctx.ChainId,
            SessionId = ctx.SessionId,
            Model = ctx.ModelId
        };

        try
        {
            // System-Prompt als Text
            var systemText = new StringBuilder(ctx.SystemPromptText ?? "");

            // Auto-Context (analog Streaming-Pfad)
            if ((ctx.Agent?.UseAutoContext ?? true) && messages.Count > 0)
            {
                try
                {
                    var autoCtx = await BuildAutoContextAsync(_vectorSearch, messages, ctx.ChainId, ctx.AgentId);
                    if (!string.IsNullOrEmpty(autoCtx))
                    {
                        systemText.AppendLine(autoCtx);
                        await _db.SaveMessage(new MessageRecord
                        {
                            ChainId = ctx.ChainId,
                            Role = "system",
                            Type = "auto_context",
                            Content = autoCtx
                        });
                    }
                }
                catch { /* silent – Auto-Context optional */ }
            }

            // Prompt aus letzter User-Message + Bild-/PDF-Refs + History-Kontext
            var prompt = ExtractLastUserText(messages) ?? "";
            var imageRefs = ExtractLastUserImageRefs(messages, tempImagePaths);
            if (!string.IsNullOrEmpty(imageRefs))
                prompt = imageRefs + "\n" + prompt;

            var historyContext = BuildHistoryContext(messages);
            if (!string.IsNullOrEmpty(historyContext))
                prompt = $"<conversation_history>\n{historyContext}\n</conversation_history>\n\n<current_request>\n{prompt}\n</current_request>";

            var fullText = new StringBuilder();
            if (onIteration != null) await onIteration(1);

            var result = await _cliService.ChatStreamingAsync(
                prompt,
                async evt =>
                {
                    switch (evt.Type)
                    {
                        case CliEventType.TextDelta:
                            fullText.Append(evt.Text);
                            break;
                        case CliEventType.ToolStart:
                            // Text-Puffer flushen bevor Tool-Use gespeichert wird (korrekte Reihenfolge in DB)
                            if (fullText.Length > 0)
                            {
                                var textForEmbed = fullText.ToString();
                                var preMsgId = await _db.SaveMessage(new MessageRecord
                                {
                                    ChainId = ctx.ChainId,
                                    Iteration = 1,
                                    Role = "assistant",
                                    Type = "text",
                                    Content = textForEmbed
                                });
                                _embeddingBg?.Enqueue(preMsgId, ctx.ChainId, ctx.SessionId, ctx.AgentId, "assistant", textForEmbed);
                                fullText.Clear();
                            }
                            if (onIteration != null) await onIteration(1);
                            break;
                        case CliEventType.ToolEnd:
                        {
                            var mappedName = MapCliToolName(evt.ToolName);
                            var mappedInput = MapCliToolInput(evt.ToolName, evt.ToolInput);
                            await _db.SaveMessage(new MessageRecord
                            {
                                ChainId = ctx.ChainId,
                                Iteration = 1,
                                Role = "assistant",
                                Type = "tool_use",
                                ToolName = mappedName,
                                ToolCallId = evt.ToolId,
                                Content = mappedInput
                            });
                            break;
                        }
                        case CliEventType.ToolResult:
                            await _db.SaveMessage(new MessageRecord
                            {
                                ChainId = ctx.ChainId,
                                Iteration = 1,
                                Role = "user",
                                Type = "tool_result",
                                ToolCallId = evt.ToolId,
                                Content = evt.ToolResultContent ?? "",
                                IsError = evt.ToolResultIsError
                            });
                            break;
                    }
                },
                modelId: ctx.ModelId,
                systemPrompt: systemText.ToString(),
                workspace: ctx.Workspace,
                hasWorkspace: !string.IsNullOrEmpty(ctx.Workspace),
                effort: ctx.Effort,
                cancellationToken: cancellationToken
            );

            // Finalen Text persistieren
            var finalText = fullText.ToString();
            if (finalText.Length > 0)
            {
                var msgId = await _db.SaveMessage(new MessageRecord
                {
                    ChainId = ctx.ChainId,
                    Iteration = 1,
                    Role = "assistant",
                    Type = "text",
                    Content = finalText
                });
                _embeddingBg?.Enqueue(msgId, ctx.ChainId, ctx.SessionId, ctx.AgentId, "assistant", finalText);
            }

            usage.InputTokens = result.InputTokens;
            usage.OutputTokens = result.OutputTokens;
            usage.CacheReadTokens = result.CacheReadTokens;
            usage.CacheCreationTokens = result.CacheCreationTokens;

            var stopReason = result.Success ? "end_turn" : "error";
            await FinalizeChain(chain, usage, result.NumTurns > 0 ? result.NumTurns : 1, stopReason, sw);

            return finalText;
        }
        catch (Exception ex)
        {
            await _db.SaveMessage(new MessageRecord
            {
                ChainId = ctx.ChainId, Iteration = 1,
                Role = "system", Type = "error",
                Content = $"CLI-Fehler: {ex.Message}", IsError = true
            });
            await FinalizeChain(chain, usage, 1, "error", sw);
            return "";
        }
        finally
        {
            CleanupTempImages(tempImagePaths);
        }
    }

    /// <summary>
    /// Mappt CLI-Tool-Namen (Edit, Write, Bash, etc.) auf gott-Tool-Namen (edit_file, write_file, etc.).
    /// </summary>
    private static string MapCliToolName(string cliName)
    {
        return cliName switch
        {
            "Edit" => "edit_file",
            "Write" => "write_file",
            "Read" => "read_file",
            "Bash" => "execute",
            "Glob" => "list_files",
            "Grep" => "search_files",
            "WebSearch" => "web_search",
            "WebFetch" => "web_fetch",
            "NotebookEdit" => "notebook_edit",
            "TodoWrite" => "todo_write",
            _ => cliName?.StartsWith("mcp__") == true ? cliName.Split("__").LastOrDefault() ?? cliName : cliName
        };
    }

    /// <summary>
    /// Mappt CLI-Tool-Input-Felder auf gott-Konventionen (z.B. file_path→path, old_string→old_text).
    /// </summary>
    private static string MapCliToolInput(string cliToolName, string inputJson)
    {
        if (string.IsNullOrEmpty(inputJson)) return inputJson;

        try
        {
            var input = JsonSerializer.Deserialize<JsonElement>(inputJson);
            if (input.ValueKind != JsonValueKind.Object) return inputJson;

            switch (cliToolName)
            {
                case "Edit":
                {
                    // file_path → path, old_string → old_text, new_string → new_text
                    var mapped = new Dictionary<string, object>();
                    foreach (var prop in input.EnumerateObject())
                    {
                        var key = prop.Name switch
                        {
                            "file_path" => "path",
                            "old_string" => "old_text",
                            "new_string" => "new_text",
                            _ => prop.Name
                        };
                        mapped[key] = prop.Value;
                    }
                    return JsonSerializer.Serialize(mapped);
                }
                case "Write":
                {
                    // file_path → path
                    var mapped = new Dictionary<string, object>();
                    foreach (var prop in input.EnumerateObject())
                    {
                        var key = prop.Name == "file_path" ? "path" : prop.Name;
                        mapped[key] = prop.Value;
                    }
                    return JsonSerializer.Serialize(mapped);
                }
                case "Read":
                {
                    // file_path → path
                    var mapped = new Dictionary<string, object>();
                    foreach (var prop in input.EnumerateObject())
                    {
                        var key = prop.Name == "file_path" ? "path" : prop.Name;
                        mapped[key] = prop.Value;
                    }
                    return JsonSerializer.Serialize(mapped);
                }
                case "Bash":
                {
                    // command bleibt gleich
                    return inputJson;
                }
                default:
                    return inputJson;
            }
        }
        catch
        {
            return inputJson;
        }
    }

    /// <summary>
    /// Baut einen Kontext-String aus der Konversations-History.
    /// </summary>
    private static string BuildHistoryContext(List<object> messages)
    {
        var sb = new StringBuilder();
        // Letzte Message überspringen wenn es ein Text-Prompt ist (wird separat als current_request gesendet).
        // Wenn die letzte Message ein tool_result ist (z.B. Choice-Antwort), NICHT überspringen.
        int takeCount = messages.Count;
        if (messages.Count > 0)
        {
            var lastJson = JsonSerializer.Serialize(messages[messages.Count - 1]);
            var lastEl = JsonSerializer.Deserialize<JsonElement>(lastJson);
            bool lastIsToolResult = false;
            if (lastEl.TryGetProperty("content", out var lc) && lc.ValueKind == JsonValueKind.Array)
            {
                foreach (var b in lc.EnumerateArray())
                {
                    var bType = b.TryGetProperty("type", out var bt) ? bt.GetString() ?? "" : "";
                    if (bType == "tool_result") { lastIsToolResult = true; break; }
                }
            }
            if (!lastIsToolResult)
                takeCount = messages.Count - 1;
        }
        foreach (var msg in messages.Take(takeCount))
        {
            var json = JsonSerializer.Serialize(msg);
            var el = JsonSerializer.Deserialize<JsonElement>(json);
            if (!el.TryGetProperty("role", out var role)) continue;
            var roleStr = role.GetString() ?? "";

            if (el.TryGetProperty("content", out var content))
            {
                if (content.ValueKind == JsonValueKind.String)
                {
                    sb.AppendLine($"[{roleStr}]: {content.GetString()}");
                }
                else if (content.ValueKind == JsonValueKind.Array)
                {
                    foreach (var block in content.EnumerateArray())
                    {
                        var blockType = block.TryGetProperty("type", out var bt) ? bt.GetString() ?? "" : "";
                        if (blockType == "text" && block.TryGetProperty("text", out var txt))
                        {
                            sb.AppendLine($"[{roleStr}]: {txt.GetString()}");
                        }
                        else if (blockType == "tool_use" && block.TryGetProperty("name", out var tn) && tn.GetString() == "ask_user_choice")
                        {
                            if (block.TryGetProperty("input", out var inp))
                            {
                                var q = inp.TryGetProperty("question", out var qq) ? qq.GetString() ?? "" : "";
                                var opts = new List<string>();
                                if (inp.TryGetProperty("choices", out var cc) && cc.ValueKind == JsonValueKind.Array)
                                    foreach (var o in cc.EnumerateArray()) opts.Add(o.GetString() ?? "");
                                sb.AppendLine($"[assistant]: Ich habe gefragt: \"{q}\" mit Optionen: {string.Join(", ", opts)}");
                            }
                        }
                        else if (blockType == "tool_result" && block.TryGetProperty("content", out var trContent))
                        {
                            sb.AppendLine($"[user]: Du hast gewählt: \"{trContent.GetString()}\"");
                        }
                    }
                }
            }
        }
        return sb.ToString().Trim();
    }

    /// <summary>
    /// Sucht einen verfügbaren Python-Befehl (python3, python, py).
    /// Gibt null zurück, wenn keiner gefunden wird.
    /// </summary>
    private static string FindPythonCommand()
    {
        if (_pythonCmdChecked) return _cachedPythonCmd;

        foreach (var cmd in new[] { "python3", "python", "py" })
        {
            try
            {
                var psi = new System.Diagnostics.ProcessStartInfo
                {
                    FileName = cmd,
                    Arguments = "--version",
                    RedirectStandardOutput = true,
                    RedirectStandardError = true,
                    UseShellExecute = false,
                    CreateNoWindow = true
                };
                using var proc = System.Diagnostics.Process.Start(psi);
                if (proc != null)
                {
                    proc.WaitForExit(3000);
                    if (proc.ExitCode == 0)
                    {
                        _cachedPythonCmd = cmd;
                        _pythonCmdChecked = true;
                        Console.WriteLine($"[MCP] Python gefunden: {cmd}");
                        return cmd;
                    }
                }
            }
            catch { /* Command not found – try next */ }
        }
        _pythonCmdChecked = true;
        _cachedPythonCmd = null;
        return null;
    }

    /// <summary>
    /// Generiert eine temporäre MCP-Config-Datei für die Claude CLI.
    /// Enthält den MCP-Server für remote_execute.
    /// </summary>
    private string GenerateMcpConfig(string sessionId, string agentId = null, bool hasRemote = false, string unityMcpUrl = null, string unityMcpToken = null, string remoteOs = null, string modelId = null, bool webSearch = false)
    {
        // Port aus Konfiguration oder Default
        var port = 19000;
        var scriptPath = Path.Combine(AppContext.BaseDirectory, "scripts", "mcp-remote-execute.py");

        // Fallback: Quell-Verzeichnis prüfen (für Dev-Modus)
        if (!File.Exists(scriptPath))
        {
            var projectRoot = Path.GetDirectoryName(AppPaths.WwwRoot) ?? AppContext.BaseDirectory;
            var srcPath = Path.Combine(projectRoot, "scripts", "mcp-remote-execute.py");
            if (File.Exists(srcPath)) scriptPath = srcPath;
        }

        var env = new Dictionary<string, string>
        {
            ["GOTT_API_URL"] = $"http://localhost:{port}",
            ["GOTT_SESSION_ID"] = sessionId ?? "",
            ["GOTT_AUTH_TOKEN"] = Endpoints.InternalEndpoint.InternalToken,
            ["GOTT_AGENT_ID"] = agentId ?? "",
            ["GOTT_HAS_REMOTE"] = hasRemote ? "true" : "false",
            ["GOTT_REMOTE_OS"] = remoteOs ?? ""
        };

        var pythonCmd = FindPythonCommand();

        var mcpServers = new Dictionary<string, object>
        {
            ["gott-remote"] = new
            {
                command = pythonCmd ?? "python3",
                args = new[] { scriptPath },
                env
            }
        };

        if (pythonCmd == null)
            Console.WriteLine("[MCP] ⚠ Python nicht gefunden (python3/python/py) – MCP-Tools werden nicht funktionieren!");

        // Unity MCP Server (pro Session konfigurierbar)
        // Claude CLI erfordert expliziten "type" – "http" für streamableHttp, "sse" für SSE
        if (!string.IsNullOrEmpty(unityMcpUrl))
        {
            // URL-basierte Typ-Erkennung: /sse → SSE-Transport, sonst HTTP (streamableHttp)
            var mcpType = unityMcpUrl.TrimEnd('/').EndsWith("/sse", StringComparison.OrdinalIgnoreCase) ? "sse" : "http";
            var unityConfig = new Dictionary<string, object>
            {
                ["type"] = mcpType,
                ["url"] = unityMcpUrl
            };
            if (!string.IsNullOrEmpty(unityMcpToken))
            {
                unityConfig["headers"] = new Dictionary<string, string>
                {
                    ["Authorization"] = $"Bearer {unityMcpToken}"
                };
            }
            mcpServers["unity"] = unityConfig;
        }

        // z.ai Web-Search-Prime-MCP: GLM-Modelle können Anthropics native WebSearch nicht nutzen.
        // Läuft ein GLM-Modell mit aktivierter Web-Suche und ist der z.ai-Key gesetzt, registrieren
        // wir z.ais HTTP-MCP-Suchserver (Bearer-Auth mit demselben Key). Tool wird in den
        // --allowed-tools der CLI (ClaudeCliService) als "mcp__web-search-prime__*" freigegeben.
        if (webSearch && ClaudeCliService.IsZaiModel(modelId))
        {
            var zaiKey = _settings?.Get("ZaiApiKey");
            if (!string.IsNullOrEmpty(zaiKey))
            {
                mcpServers["web-search-prime"] = new Dictionary<string, object>
                {
                    ["type"] = "http",
                    ["url"] = "https://api.z.ai/api/mcp/web_search_prime/mcp",
                    ["headers"] = new Dictionary<string, string>
                    {
                        ["Authorization"] = $"Bearer {zaiKey}"
                    }
                };
            }
        }

        var config = new { mcpServers };

        var json = System.Text.Json.JsonSerializer.Serialize(config, new System.Text.Json.JsonSerializerOptions { WriteIndented = true });
        var tempPath = Path.Combine(Path.GetTempPath(), $"gott-mcp-{sessionId}.json");
        File.WriteAllText(tempPath, json);
        return tempPath;
    }
}