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test
# What does this PR do? ## Test Plan
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31 changed files with 727 additions and 892 deletions
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@ -12,7 +12,14 @@ from llama_stack.apis.agents import Agents, StepType
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from llama_stack.apis.benchmarks import Benchmark
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from llama_stack.apis.datasetio import DatasetIO
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from llama_stack.apis.datasets import Datasets
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from llama_stack.apis.inference import Inference, OpenAISystemMessageParam, OpenAIUserMessageParam, UserMessage
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from llama_stack.apis.inference import (
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Inference,
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OpenaiChatCompletionRequest,
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OpenAICompletionRequest,
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OpenAISystemMessageParam,
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OpenAIUserMessageParam,
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UserMessage,
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)
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from llama_stack.apis.scoring import Scoring
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from llama_stack.providers.datatypes import BenchmarksProtocolPrivate
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from llama_stack.providers.inline.agents.meta_reference.agent_instance import (
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@ -168,11 +175,12 @@ class MetaReferenceEvalImpl(
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sampling_params["stop"] = candidate.sampling_params.stop
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input_content = json.loads(x[ColumnName.completion_input.value])
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response = await self.inference_api.openai_completion(
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params = OpenAICompletionRequest(
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model=candidate.model,
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prompt=input_content,
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**sampling_params,
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)
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response = await self.inference_api.openai_completion(params)
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generations.append({ColumnName.generated_answer.value: response.choices[0].text})
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elif ColumnName.chat_completion_input.value in x:
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chat_completion_input_json = json.loads(x[ColumnName.chat_completion_input.value])
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@ -187,11 +195,12 @@ class MetaReferenceEvalImpl(
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messages += [OpenAISystemMessageParam(**x) for x in chat_completion_input_json if x["role"] == "system"]
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messages += input_messages
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response = await self.inference_api.openai_chat_completion(
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params = OpenaiChatCompletionRequest(
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model=candidate.model,
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messages=messages,
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**sampling_params,
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)
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response = await self.inference_api.openai_chat_completion(params)
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generations.append({ColumnName.generated_answer.value: response.choices[0].message.content})
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else:
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raise ValueError("Invalid input row")
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