Meleki
99914bd343
- chains Tabelle: neue Spalte stream_error_info (TEXT) - ChainRecord: neues Property StreamErrorInfo - AnthropicService/ProcessStream: sammelt Debug-Infos bei problematischen stop_reasons (unexpected_end, max_tokens) und API error-Events - FinalizeChain: speichert stream_error_info in DB - SSE done-Event: enthält streamErrorInfo für Client-seitiges Debugging
544 lines
24 KiB
C#
544 lines
24 KiB
C#
using System;
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using System.Collections.Generic;
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using System.IO;
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using System.Net.Http;
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using System.Net.Http.Headers;
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using System.Text;
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using System.Text.Json;
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using System.Threading;
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using System.Threading.Tasks;
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using Gott.Models;
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using Microsoft.AspNetCore.Http;
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namespace Gott.Services;
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public class AnthropicService
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{
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private readonly IHttpClientFactory _httpFactory;
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private readonly string _token;
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private readonly ToolService _toolService;
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private readonly DatabaseService _db;
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private readonly MemoryService _memoryService;
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public AnthropicService(IHttpClientFactory httpFactory, string token, ToolService toolService, DatabaseService db, MemoryService memoryService = null)
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{
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_httpFactory = httpFactory;
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_token = token;
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_toolService = toolService;
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_db = db;
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_memoryService = memoryService;
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}
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public async Task StreamChat(
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HttpResponse response,
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string modelId,
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List<object> systemPrompt,
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List<object> messages,
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string chainId,
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string workspace,
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string sessionId = null,
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string agentId = null,
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bool useMemory = true,
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string webSearchVersion = null,
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int maxIterations = 100,
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string toolChoice = "any",
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CancellationToken cancellationToken = default)
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{
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var sw = System.Diagnostics.Stopwatch.StartNew();
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var usage = new TokenUsage();
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int iterations = 0;
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string lastStopReason = "";
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var chain = new ChainRecord
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{
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ChainId = chainId,
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SessionId = sessionId,
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Model = modelId
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};
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try
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{
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while (iterations < maxIterations)
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{
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iterations++;
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var payload = new Dictionary<string, object>
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{
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["model"] = modelId,
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["max_tokens"] = 16384,
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["cache_control"] = new { type = "ephemeral" },
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["messages"] = messages,
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["stream"] = true
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};
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if (systemPrompt != null && systemPrompt.Count > 0)
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payload["system"] = systemPrompt;
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var hasWorkspace = !string.IsNullOrEmpty(workspace);
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var includeMemory = useMemory && _memoryService != null && !string.IsNullOrEmpty(agentId);
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var hasTools = hasWorkspace || includeMemory;
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var hasWebSearch = !string.IsNullOrEmpty(webSearchVersion);
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if (hasTools || hasWebSearch)
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{
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var tools = new List<object>();
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if (hasTools)
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tools.AddRange(_toolService.GetToolDefinitions(includeFileTools: hasWorkspace, includeMemory: includeMemory));
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if (hasWebSearch)
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tools.Add(new { type = webSearchVersion, name = "web_search", max_uses = 5 });
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payload["tools"] = tools;
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// "any" erzwingt Tool-Nutzung, aber nur in der ersten Iteration,
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// damit Claude nicht endlos Tools aufruft wenn die Aufgabe erledigt ist.
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var effectiveChoice = (toolChoice == "any" && iterations == 1) ? "any" : "auto";
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payload["tool_choice"] = new { type = effectiveChoice };
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}
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var client = CreateClient();
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var json = JsonSerializer.Serialize(payload);
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var httpContent = new StringContent(json, Encoding.UTF8, "application/json");
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var httpResp = await client.SendAsync(
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new HttpRequestMessage(HttpMethod.Post, "https://api.anthropic.com/v1/messages") { Content = httpContent },
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HttpCompletionOption.ResponseHeadersRead,
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cancellationToken
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);
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if (!httpResp.IsSuccessStatusCode)
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{
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var errBody = await httpResp.Content.ReadAsStringAsync(cancellationToken);
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var errMsg = $"API {(int)httpResp.StatusCode}: {errBody}";
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await _db.SaveMessage(new MessageRecord
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{
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ChainId = chainId, Iteration = iterations,
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Role = "system", Type = "error",
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Content = errMsg, IsError = true
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});
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await TryWriteSse(response, "error", new { error = errMsg }, cancellationToken);
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await FinalizeChain(chain, usage, iterations, "error", sw);
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await TryWriteSse(response, "done", new { chainId = chain.ChainId }, cancellationToken);
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return;
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}
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var (stopReason, assistantContent, executedTools, streamErrorInfo) = await ProcessStream(response, httpResp, usage, workspace, agentId, cancellationToken);
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lastStopReason = stopReason;
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messages.Add(new { role = "assistant", content = assistantContent });
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// Assistant-Blöcke persistieren
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foreach (var block in assistantContent)
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{
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var blockJson = JsonSerializer.Serialize(block);
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var el = JsonSerializer.Deserialize<JsonElement>(blockJson);
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var blockType = el.GetProperty("type").GetString() ?? "";
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if (blockType == "text")
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{
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await _db.SaveMessage(new MessageRecord
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{
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ChainId = chainId, Iteration = iterations,
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Role = "assistant", Type = "text",
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Content = el.GetProperty("text").GetString()
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});
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}
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else if (blockType == "tool_use")
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{
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await _db.SaveMessage(new MessageRecord
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{
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ChainId = chainId, Iteration = iterations,
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Role = "assistant", Type = "tool_use",
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ToolName = el.GetProperty("name").GetString(),
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ToolCallId = el.GetProperty("id").GetString(),
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Content = el.GetProperty("input").ToString()
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});
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}
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}
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// Tool Results persistieren
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foreach (var tr in executedTools)
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{
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await _db.SaveMessage(new MessageRecord
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{
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ChainId = chainId, Iteration = iterations,
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Role = "user", Type = "tool_result",
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ToolCallId = tr.Id,
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Content = tr.Result,
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IsError = tr.IsError
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});
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}
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if (stopReason != "tool_use")
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{
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var finalStopReason = string.IsNullOrEmpty(stopReason) ? "unexpected_end" : stopReason;
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await FinalizeChain(chain, usage, iterations, finalStopReason, sw, streamErrorInfo);
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await TryWriteSse(response, "done", new
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{
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model = modelId,
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inputTokens = usage.InputTokens,
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outputTokens = usage.OutputTokens,
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cacheCreationTokens = usage.CacheCreationTokens,
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cacheReadTokens = usage.CacheReadTokens,
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iterations,
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chainId,
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durationMs = sw.ElapsedMilliseconds,
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stopReason = finalStopReason,
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streamErrorInfo
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}, cancellationToken);
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return;
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}
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var toolResults = new List<object>();
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foreach (var tr in executedTools)
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{
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// Tool-Results in der History auf 20.000 Zeichen kürzen.
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// Das vollständige Ergebnis wurde bereits in der DB gespeichert.
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// 20k Zeichen ≈ ~5k Tokens – verhindert Token-Explosion bei großen
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// read_file / execute-Outputs die sich über alle weiteren Iterationen schleppen.
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const int MaxToolResultChars = 20_000;
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var content = tr.Result.Length > MaxToolResultChars
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? tr.Result[..MaxToolResultChars] + $"\n\n[... gekürzt, {tr.Result.Length - MaxToolResultChars} weitere Zeichen ...]"
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: tr.Result;
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toolResults.Add(new
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{
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type = "tool_result",
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tool_use_id = tr.Id,
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content,
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is_error = tr.IsError
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});
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}
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messages.Add(new { role = "user", content = toolResults });
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}
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await FinalizeChain(chain, usage, iterations, "max_iterations", sw);
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await TryWriteSse(response, "error", new { error = "Max iterations erreicht" }, cancellationToken);
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await TryWriteSse(response, "done", new { chainId = chain.ChainId }, cancellationToken);
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}
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catch (OperationCanceledException)
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{
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// Client hat die Verbindung getrennt (z.B. Browser-Refresh)
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await FinalizeChain(chain, usage, iterations, "client_disconnected", sw);
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}
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catch (Exception ex)
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{
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// Unerwarteter Fehler – in DB speichern und versuchen an Client zu senden
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var errMsg = $"Stream-Fehler: {ex.Message}";
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await _db.SaveMessage(new MessageRecord
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{
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ChainId = chainId, Iteration = iterations,
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Role = "system", Type = "error",
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Content = errMsg, IsError = true
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});
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await FinalizeChain(chain, usage, iterations, "error", sw);
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await TryWriteSse(response, "error", new { error = errMsg }, cancellationToken);
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await TryWriteSse(response, "done", new { chainId = chain.ChainId }, cancellationToken);
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}
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}
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private async Task FinalizeChain(ChainRecord chain, TokenUsage usage, int iterations, string stopReason, System.Diagnostics.Stopwatch sw, string streamErrorInfo = null)
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{
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chain.InputTokens = usage.InputTokens;
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chain.OutputTokens = usage.OutputTokens;
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chain.CacheCreationTokens = usage.CacheCreationTokens;
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chain.CacheReadTokens = usage.CacheReadTokens;
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chain.Iterations = iterations;
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chain.StopReason = stopReason;
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chain.StreamErrorInfo = streamErrorInfo;
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chain.DurationMs = sw.ElapsedMilliseconds;
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await _db.UpdateChain(chain);
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}
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private async Task<(string StopReason, List<object> Content, List<ToolResult> Tools, string StreamErrorInfo)> ProcessStream(
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HttpResponse response,
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HttpResponseMessage httpResp,
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TokenUsage usage,
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string workspace,
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string agentId = null,
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CancellationToken cancellationToken = default)
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{
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var stream = await httpResp.Content.ReadAsStreamAsync(cancellationToken);
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using var reader = new StreamReader(stream);
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var stopReason = "";
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var assistantContent = new List<object>();
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var currentToolId = "";
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var currentToolName = "";
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var currentToolInputJson = new StringBuilder();
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var currentTextBlock = new StringBuilder();
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var blockTypes = new Dictionary<int, string>();
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var webSearchResultBlocks = new Dictionary<int, object>();
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var executedTools = new List<ToolResult>();
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var streamErrors = new List<object>();
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string line;
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while ((line = await reader.ReadLineAsync(cancellationToken)) != null)
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{
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if (!line.StartsWith("data: ")) continue;
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var data = line["data: ".Length..];
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if (string.IsNullOrWhiteSpace(data)) continue;
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JsonElement evt;
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try { evt = JsonSerializer.Deserialize<JsonElement>(data); }
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catch { continue; }
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var evtType = evt.TryGetProperty("type", out var t) ? t.GetString() ?? "" : "";
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switch (evtType)
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{
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case "message_start":
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{
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if (evt.TryGetProperty("message", out var msg) &&
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msg.TryGetProperty("usage", out var u))
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{
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if (u.TryGetProperty("input_tokens", out var it))
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usage.InputTokens += it.GetInt64();
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if (u.TryGetProperty("cache_creation_input_tokens", out var cc))
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usage.CacheCreationTokens += cc.GetInt64();
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if (u.TryGetProperty("cache_read_input_tokens", out var cr))
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usage.CacheReadTokens += cr.GetInt64();
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}
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break;
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}
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case "content_block_start":
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{
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var idx = evt.GetProperty("index").GetInt32();
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var cb = evt.GetProperty("content_block");
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var cbType = cb.GetProperty("type").GetString() ?? "";
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blockTypes[idx] = cbType;
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if (cbType == "text")
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{
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currentTextBlock.Clear();
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await WriteSseEvent(response, "text_start", new { index = idx });
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}
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else if (cbType == "tool_use")
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{
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if (currentTextBlock.Length > 0)
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{
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assistantContent.Add(new { type = "text", text = currentTextBlock.ToString() });
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currentTextBlock.Clear();
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}
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currentToolId = cb.GetProperty("id").GetString() ?? "";
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currentToolName = cb.GetProperty("name").GetString() ?? "";
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currentToolInputJson.Clear();
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await WriteSseEvent(response, "tool_start", new { name = currentToolName, id = currentToolId });
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}
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else if (cbType == "server_tool_use")
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{
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if (currentTextBlock.Length > 0)
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{
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assistantContent.Add(new { type = "text", text = currentTextBlock.ToString() });
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currentTextBlock.Clear();
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}
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currentToolId = cb.GetProperty("id").GetString() ?? "";
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currentToolName = cb.GetProperty("name").GetString() ?? "";
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currentToolInputJson.Clear();
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await WriteSseEvent(response, "web_search_start", new { name = currentToolName, id = currentToolId });
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}
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else if (cbType == "web_search_tool_result")
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{
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// Gesamten Block als JSON speichern für die Conversation-History
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var rawBlock = JsonSerializer.Deserialize<JsonElement>(cb.GetRawText());
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webSearchResultBlocks[idx] = rawBlock;
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}
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break;
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}
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case "content_block_delta":
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{
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var delta = evt.GetProperty("delta");
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var deltaType = delta.GetProperty("type").GetString() ?? "";
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if (deltaType == "text_delta")
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{
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var text = delta.GetProperty("text").GetString() ?? "";
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currentTextBlock.Append(text);
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await WriteSseEvent(response, "text_delta", new { text });
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}
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else if (deltaType == "input_json_delta")
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{
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var partial = delta.GetProperty("partial_json").GetString() ?? "";
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currentToolInputJson.Append(partial);
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}
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break;
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}
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case "content_block_stop":
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{
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var idx = evt.GetProperty("index").GetInt32();
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if (blockTypes.TryGetValue(idx, out var bt))
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{
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if (bt == "text")
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{
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var text = currentTextBlock.ToString();
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if (text.Length > 0)
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{
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assistantContent.Add(new { type = "text", text });
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await WriteSseEvent(response, "text_end", new { });
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}
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currentTextBlock.Clear();
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}
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else if (bt == "tool_use")
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{
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JsonElement inputEl;
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try { inputEl = JsonSerializer.Deserialize<JsonElement>(currentToolInputJson.ToString()); }
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catch { inputEl = JsonSerializer.Deserialize<JsonElement>("{}"); }
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assistantContent.Add(new
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{
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type = "tool_use",
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id = currentToolId,
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name = currentToolName,
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input = inputEl
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});
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string toolResult;
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bool isError = false;
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try { toolResult = await _toolService.ExecuteTool(currentToolName, inputEl, workspace, _memoryService, agentId); }
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catch (Exception ex) { toolResult = $"Fehler: {ex.Message}"; isError = true; }
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executedTools.Add(new ToolResult(currentToolId, toolResult, isError));
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await WriteSseEvent(response, "tool_end", new
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{
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name = currentToolName,
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input = currentToolInputJson.ToString(),
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result = toolResult.Length > 500 ? toolResult[..500] + "..." : toolResult,
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isError
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});
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}
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else if (bt == "server_tool_use")
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{
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// Server-side tool (Web Search) – Anthropic führt es aus, wir speichern nur die Anfrage
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JsonElement inputEl;
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try { inputEl = JsonSerializer.Deserialize<JsonElement>(currentToolInputJson.ToString()); }
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catch { inputEl = JsonSerializer.Deserialize<JsonElement>("{}"); }
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assistantContent.Add(new
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{
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type = "server_tool_use",
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id = currentToolId,
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name = currentToolName,
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input = inputEl
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});
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}
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else if (bt == "web_search_tool_result")
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{
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// Web-Search-Ergebnis von Anthropic – als Raw-JSON in assistantContent aufnehmen
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assistantContent.Add(webSearchResultBlocks[idx]);
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await WriteSseEvent(response, "web_search_end", new { id = currentToolId });
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}
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}
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break;
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}
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case "message_delta":
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{
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if (evt.TryGetProperty("delta", out var d))
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{
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if (d.TryGetProperty("stop_reason", out var sr))
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{
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stopReason = sr.GetString() ?? "";
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// Bei problematischen stop_reasons Debug-Infos sammeln
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if (stopReason is "unexpected_end" or "max_tokens")
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{
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var debugInfo = new Dictionary<string, object>
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{
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["event"] = "message_delta",
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["stop_reason"] = stopReason,
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["output_tokens"] = usage.OutputTokens,
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["text_length"] = currentTextBlock.Length,
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["timestamp"] = DateTime.UtcNow.ToString("o")
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};
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if (d.TryGetProperty("stop_sequence", out var ss) && ss.ValueKind != JsonValueKind.Null)
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debugInfo["stop_sequence"] = ss.GetString();
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streamErrors.Add(debugInfo);
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}
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}
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}
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if (evt.TryGetProperty("usage", out var u2) &&
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u2.TryGetProperty("output_tokens", out var ot))
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usage.OutputTokens += ot.GetInt64();
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break;
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}
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case "error":
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{
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// API Error-Event (z.B. overloaded_error)
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var errorInfo = new Dictionary<string, object>
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{
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["event"] = "error",
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["timestamp"] = DateTime.UtcNow.ToString("o"),
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["raw"] = data
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};
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if (evt.TryGetProperty("error", out var err))
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{
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if (err.TryGetProperty("type", out var errType))
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errorInfo["error_type"] = errType.GetString();
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if (err.TryGetProperty("message", out var errMsg))
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errorInfo["error_message"] = errMsg.GetString();
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}
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streamErrors.Add(errorInfo);
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break;
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}
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}
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}
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if (currentTextBlock.Length > 0)
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assistantContent.Add(new { type = "text", text = currentTextBlock.ToString() });
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// Stream-Fehler als JSON serialisieren (null wenn keine Fehler)
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string streamErrorInfo = streamErrors.Count > 0
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? JsonSerializer.Serialize(streamErrors)
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: null;
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return (stopReason, assistantContent, executedTools, streamErrorInfo);
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}
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private HttpClient CreateClient()
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{
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var client = _httpFactory.CreateClient();
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client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", _token);
|
||
client.DefaultRequestHeaders.Add("anthropic-version", "2023-06-01");
|
||
client.DefaultRequestHeaders.Add("anthropic-beta", "claude-code-20250219,oauth-2025-04-20");
|
||
client.DefaultRequestHeaders.Add("User-Agent", "claude-cli/2.1.2 (external, cli)");
|
||
client.DefaultRequestHeaders.Add("x-app", "cli");
|
||
client.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
|
||
client.DefaultRequestHeaders.Add("anthropic-dangerous-direct-browser-access", "true");
|
||
return client;
|
||
}
|
||
|
||
public static async Task WriteSseEvent(HttpResponse response, string eventType, object data)
|
||
{
|
||
var json = JsonSerializer.Serialize(data);
|
||
await response.WriteAsync($"event: {eventType}\ndata: {json}\n\n");
|
||
await response.Body.FlushAsync();
|
||
}
|
||
|
||
private static async Task TryWriteSse(HttpResponse response, string eventType, object data, CancellationToken ct)
|
||
{
|
||
try
|
||
{
|
||
if (!ct.IsCancellationRequested)
|
||
await WriteSseEvent(response, eventType, data);
|
||
}
|
||
catch
|
||
{
|
||
// Client bereits disconnected – ignorieren
|
||
}
|
||
}
|
||
}
|
||
|
||
public record ToolResult(string Id, string Result, bool IsError);
|
||
|
||
public class TokenUsage
|
||
{
|
||
public long InputTokens { get; set; }
|
||
public long OutputTokens { get; set; }
|
||
public long CacheCreationTokens { get; set; }
|
||
public long CacheReadTokens { get; set; }
|
||
}
|