Protokoll #3962

ID3962
Zeitstempel2025-12-22 08:53:40.728541
Clientroot
IP145.224.96.190
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens547 (Input: 45, Output: 502)
Dauer97 ms
Request-Zeit2025-12-22 08:53:40.728541
Response-Zeit2025-12-22 08:53:40.825499

Request

{
    "event": "PreToolUse",
    "tool_name": "Read",
    "tool_input": {
        "file_path": "\/var\/www\/dev.campus.systemische-tools.de\/src\/Infrastructure\/AI\/OllamaClient.php",
        "offset": 35,
        "limit": 50
    }
}

Response

{
    "tool_response": {
        "type": "text",
        "file": {
            "filePath": "\/var\/www\/dev.campus.systemische-tools.de\/src\/Infrastructure\/AI\/OllamaClient.php",
            "content": "            ];\n\n            if (isset($options['system'])) {\n                $payload['system'] = $options['system'];\n            }\n\n            if (isset($options['temperature'])) {\n                $payload['options']['temperature'] = $options['temperature'];\n            }\n\n            curl_setopt_array($ch, [\n                CURLOPT_POST => true,\n                CURLOPT_POSTFIELDS => json_encode($payload),\n                CURLOPT_RETURNTRANSFER => true,\n                CURLOPT_HTTPHEADER => ['Content-Type: application\/json'],\n                CURLOPT_TIMEOUT => $this->timeout,\n            ]);\n\n            $response = curl_exec($ch);\n            $httpCode = curl_getinfo($ch, CURLINFO_HTTP_CODE);\n            $error = curl_error($ch);\n            curl_close($ch);\n\n            $durationMs = (int) ((microtime(true) - $startTime) * 1000);\n\n            if ($error !== '') {\n                return AIResponse::error(\"cURL Error: {$error}\", $model);\n            }\n\n            if ($httpCode !== 200) {\n                return AIResponse::error(\"HTTP Error: {$httpCode}\", $model);\n            }\n\n            $data = json_decode($response, true);\n\n            if (!isset($data['response'])) {\n                return AIResponse::error('Invalid response format', $model);\n            }\n\n            $tokensInput = $data['prompt_eval_count'] ?? $this->estimateTokens($prompt);\n            $tokensOutput = $data['eval_count'] ?? $this->estimateTokens($data['response']);\n\n            return AIResponse::success(\n                $data['response'],\n                $tokensInput,\n                $tokensOutput,\n                $durationMs,\n                $model,\n                [\n                    'total_duration' => $data['total_duration'] ?? null,",
            "numLines": 50,
            "startLine": 35,
            "totalLines": 153
        }
    }
}
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