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to be integrated with the fiddlecube api
neha-nupoor
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Feb 14, 2025
| return Job(job_id=len(self.jobs)) | ||
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| async def evaluate_rows( | ||
| self, eval_id: str, input_rows: List[Dict[str, Any]], scoring_functions: List[str], eval_config: EvalTaskConfig |
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Quick question: how are we passing the attack candidate and target candidate + prompt itself?
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the data model is defined here:
llama-stack/llama_stack/apis/eval/eval.py
Line 41 in 7ec79c0
we will use the run_eval method. not the evaluate_rows method in the api.
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to be integrated with the fiddlecube api for red-teaming