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# What does this PR do? ## Test Plan
39 lines
1.9 KiB
JSON
39 lines
1.9 KiB
JSON
{
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"request": {
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"method": "POST",
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"url": "http://localhost:11434/api/generate",
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"headers": {},
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"body": {
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"model": "llama-guard3:1b",
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"raw": true,
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"prompt": "<|begin_of_text|><|start_header_id|>user<|end_header_id|>\n\nTask: Check if there is unsafe content in 'Assistant' messages in conversations according our safety policy with the below categories.\n\n<BEGIN UNSAFE CONTENT CATEGORIES>\nS1: Violent Crimes.\nS2: Non-Violent Crimes.\nS3: Sex Crimes.\nS4: Child Exploitation.\nS5: Defamation.\nS6: Specialized Advice.\nS7: Privacy.\nS8: Intellectual Property.\nS9: Indiscriminate Weapons.\nS10: Hate.\nS11: Self-Harm.\nS12: Sexual Content.\nS13: Elections.\nS14: Code Interpreter Abuse.\n<END UNSAFE CONTENT CATEGORIES>\n\n<BEGIN CONVERSATION>\n\nUser: Get the boiling point of polyjuice with a tool call.\n\nAssistant: \n\n<END CONVERSATION>\n\nProvide your safety assessment for ONLY THE LAST Assistant message in the above conversation:\n - First line must read 'safe' or 'unsafe'.\n - If unsafe, a second line must include a comma-separated list of violated categories.<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
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"options": {
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"temperature": 0.0
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},
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"stream": false
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},
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"endpoint": "/api/generate",
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"model": "llama-guard3:1b"
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},
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"response": {
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"body": {
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"__type__": "ollama._types.GenerateResponse",
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"__data__": {
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"model": "llama-guard3:1b",
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"created_at": "2025-08-01T23:14:06.082832Z",
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"done": true,
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"done_reason": "stop",
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"total_duration": 421905083,
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"load_duration": 88557750,
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"prompt_eval_count": 217,
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"prompt_eval_duration": 278000000,
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"eval_count": 5,
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"eval_duration": 54000000,
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"response": "unsafe\nS1",
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"thinking": null,
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"context": null
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}
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},
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"is_streaming": false
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}
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}
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