ragas evaluator function is taking LLM model as none even it is passed in evaluator's function call

[manaligc]

Code: %python # %pip install openai langchain

from ragas.metrics import answer_relevancy, faithfulness, context_utilization
from ragas.evaluation import evaluate
from azure.identity import DefaultAzureCredential
import openai

import os
from langchain.llms import AzureOpenAI

# Set your Azure OpenAI endpoint and API key
endpoint = <end point>
api_key = <api_key>
api_version = <api_version>

# Configure OpenAI client
os.environ["OPENAI_API_KEY"] = api_key

# Wrap the AzureOpenAI client with Langchain's AzureOpenAI class
evaluator_llm = AzureOpenAI(
    api_key=api_key,
    api_base=endpoint,
    api_type="azure",
    api_version=api_version,
    deployment=deployment
)

# Compute RAGAS Scores
scores = evaluate(
    dataset,
    metrics=[faithfulness, answer_relevancy, context_utilization],
    llm=evaluator_llm
)

Error: AttributeError: 'AzureOpenAI' object has no attribute 'set_run_config' File , line 25 16 evaluator_llm = AzureOpenAI( 17 api_key=api_key, 18 api_base=endpoint, (...) 21 deployment=deployment 22 ) 24 # Compute RAGAS Scores ---> 25 scores = evaluate( 26 dataset, 27 metrics=[faithfulness, answer_relevancy, context_utilization], 28 llm=evaluator_llm 29 ) 31 # Convert results back to DataFrame for easy viewing 32 results_df = scores.to_pandas() File /local_disk0/.ephemeral_nfs/envs/pythonEnv-087f3445-139b-431e-884f-bffb273ec73f/lib/python3.11/site-packages/ragas/metrics/base.py:153, in MetricWithLLM.init(self, run_config) 149 if self.llm is None: 150 raise ValueError( 151 f"Metric '{self.name}' has no valid LLM provided (self.llm is None). Please initantiate a the metric with an LLM to run." # noqa 152 ) --> 153 self.llm.set_run_config(run_config)