在雲端評估中使用與管理員連結的模型

from azure.ai.projects.models import TestingCriterionAzureAIEvaluator

admin_connected_model = "my-apim-connection/my-model-name"

testing_criteria = [
    TestingCriterionAzureAIEvaluator(
        type="azure_ai_evaluator",
        name="coherence",
        evaluator_name="builtin.coherence",
        initialization_parameters={"model": admin_connected_model},
        data_mapping={
            "query": "{{item.query}}",
            "response": "{{item.response}}",
        },
    ),
]

string adminConnectedModel = "my-apim-connection/gpt-4o";

object[] testingCriteria =
[
    new
    {
        type = "azure_ai_evaluator",
        name = "coherence",
        evaluator_name = "builtin.coherence",
        initialization_parameters = new { model = adminConnectedModel },
        data_mapping = new
        {
            query = "{{item.query}}",
            response = "{{item.response}}"
        }
    }
];

const adminConnectedModel = "my-apim-connection/gpt-4o";

const testingCriteria = [
    {
        type: "azure_ai_evaluator",
        name: "coherence",
        evaluator_name: "builtin.coherence",
        initialization_parameters: { model: adminConnectedModel },
        data_mapping: {
            query: "{{item.query}}",
            response: "{{item.response}}",
        },
    },
];

admin_connected_model = "my-apim-connection/my-model-name"

target = {
    "type": "azure_ai_model",
    "model": admin_connected_model,
    "sampling_params": {
        "top_p": 1.0,
        "max_completion_tokens": 2048,
    },
}

string adminConnectedModel = "my-apim-connection/gpt-4o";

object target = new
{
    type = "azure_ai_model",
    model = adminConnectedModel,
    sampling_params = new
    {
        top_p = 1.0f,
        max_completion_tokens = 2048
    }
};

const adminConnectedModel = "my-apim-connection/gpt-4o";

const target = {
    type: "azure_ai_model",
    model: adminConnectedModel,
    sampling_params: {
        top_p: 1.0,
        max_completion_tokens: 2048,
    },
};