Protokoll #29402

ID29402
Zeitstempel2025-12-29 09:23:20.440687
Clientroot
IP145.224.72.140
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens816 (Input: 48, Output: 768)
Dauer108 ms
Request-Zeit2025-12-29 09:23:20.440687
Response-Zeit2025-12-29 09:23:20.548577

Request

{
    "event": "PreToolUse",
    "tool_name": "Read",
    "tool_input": {
        "file_path": "\/var\/www\/dev.campus.systemische-tools.de\/src\/UseCases\/Chat\/StreamingChatMessageUseCase.php",
        "offset": 150,
        "limit": 50
    }
}

Response

{
    "tool_response": {
        "type": "text",
        "file": {
            "filePath": "\/var\/www\/dev.campus.systemische-tools.de\/src\/UseCases\/Chat\/StreamingChatMessageUseCase.php",
            "content": "        }\n\n        \/\/ Step 9: LLM Request\n        $isOllama = str_starts_with($model, 'ollama:');\n        $isClaude = str_starts_with($model, 'claude-');\n        $hasContext = $context !== '';\n        $this->emit('llm', 'Anfrage an ' . ($isOllama ? substr($model, 7) : $model) . '...');\n        $this->startStep();\n        $llmStart = microtime(true);\n        try {\n            if ($isClaude) {\n                $userPrompt = $hasContext ? $this->claude->buildRagPrompt($message, $context) : $message;\n                $effectiveSystemPrompt = $systemPrompt ?? ($hasContext ? $this->claude->getDefaultSystemPrompt() : 'Du bist ein hilfreicher Assistent. Antworte auf Deutsch, präzise und hilfreich.');\n                if ($stylePrompt !== null && $stylePrompt !== '') { $effectiveSystemPrompt .= \"\\n\\n\" . $stylePrompt; }\n\n                \/\/ Update protokoll with full prompt before LLM call\n                if ($protokollId !== null) {\n                    $fullPrompt = \"=== SYSTEM ===\\n\" . $effectiveSystemPrompt . \"\\n\\n=== USER ===\\n\" . $userPrompt;\n                    $this->protokollService->updateFullPrompt($protokollId, $fullPrompt);\n                }\n\n                $llmResponse = $this->claude->ask($userPrompt, $effectiveSystemPrompt, $model, $maxTokens, $temperature);\n                $answer = $llmResponse['text'];\n                $usage = $llmResponse['usage'];\n            } elseif ($isOllama) {\n                $ollamaModel = substr($model, 7);\n                $instructions = array_filter([$systemPrompt, $stylePrompt]);\n                $instructionBlock = $instructions !== [] ? implode(\"\\n\\n\", $instructions) . \"\\n\\n\" : '';\n                $userPrompt = $hasContext ? sprintf(\"%sKontext:\\n\\n%s\\n\\n---\\n\\nFrage: %s\", $instructionBlock, $context, $message) : $instructionBlock . $message;\n\n                \/\/ Update protokoll with full prompt before LLM call\n                if ($protokollId !== null) {\n                    $this->protokollService->updateFullPrompt($protokollId, $userPrompt);\n                }\n\n                $answer = $this->ollama->generate($userPrompt, $ollamaModel, $temperature);\n                $usage = null;\n            } else {\n                $this->emit('error', \"Unbekanntes Modell: {$model}\");\n                if ($protokollId !== null) {\n                    $this->protokollService->logFailure($protokollId, \"Unbekanntes Modell: {$model}\");\n                }\n\n                return ChatResponse::error(\"Unknown model \\\"{$model}\\\".\");\n            }\n        } catch (\\RuntimeException $e) {\n            $this->emit('error', 'LLM-Fehler: ' . $e->getMessage());\n            if ($protokollId !== null) {\n                $this->protokollService->logFailure($protokollId, 'LLM-Fehler: ' . $e->getMessage());\n            }",
            "numLines": 50,
            "startLine": 150,
            "totalLines": 314
        }
    }
}
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