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EvaluationIssues related to the client library for Azure AI EvaluationIssues related to the client library for Azure AI Evaluationneeds-triageWorkflow: This is a new issue that needs to be triaged to the appropriate team.Workflow: This is a new issue that needs to be triaged to the appropriate team.
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Customers usually run into the confusion of using project endpoint in evaluator model config. We should consider making the model config accept a project endpont too assuming the model deployment is in the same resource.
To be clear, the azure_endpoint in AzureOpenAIModelConfiguration(
# can only use the azure openai endpoint. If using foundry endpoint, there will be an error
azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],
azure_deployment=os.environ["AZURE_OPENAI_DEPLOYMENT"],
)
must be Azure OpenAI endpoint, not Azure AI Foundry project endpoint (which is reserved for the parameter called azure_ai_project.
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EvaluationIssues related to the client library for Azure AI EvaluationIssues related to the client library for Azure AI Evaluationneeds-triageWorkflow: This is a new issue that needs to be triaged to the appropriate team.Workflow: This is a new issue that needs to be triaged to the appropriate team.