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1.8 KiB
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1.8 KiB
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{"repo": "0xihsn/yula", "files": {"config/targets/groq_target.yaml": {"ca61b56096feb8cf408b75f0bf27588481ea8dfb": {"t": 1785674397.8219402, "n": 1178, "h": "751edd7f37ebfd6a", "c": "# ╔══════════════════════════════════════════════════════════════════════════╗\n# ║ YULA AI Scanner — Target: Groq Cloud ║\n# ╠══════════════════════════════════════════════════════════════════════════╣\n# ║ Groq provides ultra-fast inference for open-source models using their ║\n# ║ LPU hardware. Fully OpenAI-compatible API. ║\n# ╚══════════════════════════════════════════════════════════════════════════╝\n#\n# Get your API key at: https://console.groq.com\n#\n# Usage: python run.py scan --target config/targets/groq_target.yaml\n#\n# Required environment variables:\n# GROQ_API_KEY — Your Groq API key (starts with gsk_...)\n\ntype: openai\n\nendpoint:\n url: \"https://api.groq.com/openai/v1/chat/completions\"\n\n # Available models: llama-3.3-70b-versatile, llama-3.1-8b-instant,\n # mixtral-8x7b-32768, gemma2-9b-it, llama-guard-3-8b\n model: \"llama-3.3-70b-versatile\"\n\n # Optional: inject a system prompt to test your deployed AI application\n system_prompt: null\n\nauth:\n type: api_key\n api_key: \"${GROQ_API_KEY}\"\n\noptions:\n max_tokens: 1024\n temperature: 0.7\n extra_headers: {}\n"}}}} |