Submit Evaluations

문서 > LLM Observability > Submit Evaluations

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Overview

In the context of LLM applications, it’s important to track user feedback and evaluate the quality of your LLM application’s responses. While LLM Observability provides a few out-of-the-box evaluations for your traces, you can submit your own evaluations to LLM Observability in two ways: with Datadog’s Python SDK, or with the LLM Observability API. See Naming custom metrics for guidelines on how to choose an appropriate label for your evaluations.

Submitting evaluations with the SDK

The LLM Observability SDK provides the methods LLMObs.submit_evaluation_for() and LLMObs.export_span() to help your traced LLM application submit evaluations to LLM Observability. See submitting evaluations in the SDK documentation for details.

Example

from ddtrace.llmobs import LLMObs
from ddtrace.llmobs.decorators import llm

@llm(model_name="claude", name="invoke_llm", model_provider="anthropic")
def llm_call():
    completion = ... # user application logic to invoke LLM

    # tag your span with a `msg_id`
    msg_id = get_msg_id()
    LLMObs.annotate(
        tags = {'msg_id': msg_id}
    )

    # submit an evaluation on a span tagged with a matching `msg_id`
    LLMObs.submit_evaluation_for(
        span_with_tag_value = {
            "tag_key": "msg_id",
            "tag_value": msg_id
        },
        ml_app = "chatbot",
        label="harmfulness",
        metric_type="score",
        value=10,
        tags={"evaluation_provider": "ragas"},
    )

Submitting evaluations with the API

You can use the evaluations API provided by LLM Observability to send evaluations associated with spans to Datadog. See the Evaluations API for more details on the API specifications.

Example

{
  "data": {
    "type": "evaluation_metric",
    "id": "456f4567-e89b-12d3-a456-426655440000",
    "attributes": {
      "metrics": [
        {
          "id": "cdfc4fc7-e2f6-4149-9c35-edc4bbf7b525",
          "join_on": {
            "tag": {
              "key": "msg_id",
              "value": "1123132"
            }
          },
          "span_id": "20245611112024561111",
          "trace_id": "13932955089405749200",
          "ml_app": "weather-bot",
          "timestamp_ms": 1609479200,
          "metric_type": "score",
          "label": "Accuracy",
          "score_value": 3
        }
      ]
    }
  }
}

Submit Evaluations

Overview

Submitting evaluations with the SDK

Example

Submitting evaluations with the API

Example

Further Reading