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fix(ragas): update capture_metric_type call for new telemetry signature #2568

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fix(ragas): update capture_metric_type call for new telemetry signature #2568

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304275c
fix(ragas): pass in_component to capture_metric_type
sachinML Mar 22, 2026
f37ec49
fix: address lint failures for telemetry signature update
sachinML Mar 22, 2026
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29 changes: 23 additions & 6 deletions deepeval/metrics/ragas.py
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Original file line number Diff line number Diff line change
Expand Up @@ -82,7 +82,10 @@ def measure(self, test_case: LLMTestCase):
dataset = Dataset.from_dict(data)

with capture_metric_type(
self.__name__, _track=self._track, async_mode=False
self.__name__,
_track=self._track,
async_mode=False,
in_component=False,
):
# Evaluate the dataset using Ragas
scores = evaluate(
Expand Down Expand Up @@ -162,7 +165,10 @@ def measure(self, test_case: LLMTestCase):
}
dataset = Dataset.from_dict(data)
with capture_metric_type(
self.__name__, _track=self._track, async_mode=False
self.__name__,
_track=self._track,
async_mode=False,
in_component=False,
):
scores = evaluate(dataset, [context_recall], llm=chat_model)
context_recall_score = scores["context_recall"][0]
Expand Down Expand Up @@ -233,7 +239,10 @@ def measure(self, test_case: LLMTestCase):
dataset = Dataset.from_dict(data)

with capture_metric_type(
self.__name__, _track=self._track, async_mode=False
self.__name__,
_track=self._track,
async_mode=False,
in_component=False,
):
scores = evaluate(
dataset,
Expand Down Expand Up @@ -383,7 +392,10 @@ def measure(self, test_case: LLMTestCase):
dataset = Dataset.from_dict(data)

with capture_metric_type(
self.__name__, _track=self._track, async_mode=False
self.__name__,
_track=self._track,
async_mode=False,
in_component=False,
):
scores = evaluate(
dataset,
Expand Down Expand Up @@ -457,7 +469,10 @@ def measure(self, test_case: LLMTestCase):
}
dataset = Dataset.from_dict(data)
with capture_metric_type(
self.__name__, _track=self._track, async_mode=False
self.__name__,
_track=self._track,
async_mode=False,
in_component=False,
):
scores = evaluate(dataset, metrics=[faithfulness], llm=chat_model)
faithfulness_score = scores["faithfulness"][0]
Expand Down Expand Up @@ -526,7 +541,9 @@ def measure(self, test_case: LLMTestCase):
RAGASFaithfulnessMetric(model=self.model, _track=False),
]

with capture_metric_type(self.__name__, async_mode=False):
with capture_metric_type(
self.__name__, async_mode=False, in_component=False
):
for metric in metrics:
score = metric.measure(test_case)
score_breakdown[metric.__name__] = score
Expand Down
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