Documentation Index
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Sometimes it is useful for a custom evaluator or summary evaluator to return multiple metrics. For example, if you have multiple metrics being generated by an LLM judge, you can save time and money by making a single LLM call that generates multiple metrics instead of making multiple LLM calls.
To return multiple scores using the Python SDK, simply return a list of dictionaries/objects of the following form:
[
# 'key' is the metric name
# 'score' is the value of a numerical metric
{"key": string, "score": number},
# 'value' is the value of a categorical metric
{"key": string, "value": string},
... # You may log as many as you wish
]
To do so with the JS/TS SDK, return an object with a โresultsโ key and then a list of the above form
{results: [{ key: string, score: number }, ...]};
Each of these dictionaries can contain any or all of the feedback fields; check out the linked document for more information.
Example:
- Python: Requires
langsmith>=0.2.0
- TypeScript: Support for multiple scores is available in
langsmith@0.1.32 and higher
def multiple_scores(outputs: dict, reference_outputs: dict) -> list[dict]:
# Replace with real evaluation logic.
precision = 0.8
recall = 0.9
f1 = 0.85
return [
{"key": "precision", "score": precision},
{"key": "recall", "score": recall},
{"key": "f1", "score": f1},
]
Rows from the resulting experiment will display each of the scores.