10000 added failure to answer configuration option explanation by jennm · Pull Request #29119 · DataDog/documentation · GitHub
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Merged
merged 6 commits into from
May 13, 2025

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jennm
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@jennm jennm commented May 2, 2025

What does this PR do? What is the motivation?

This pr adds documentation about the enriched Failure to Answer options. The Failure to Answer options are described here.

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github-actions bot commented May 2, 2025

@jennm jennm marked this pull request as ready for review May 2, 2025 17:29
@jennm jennm requested a review from a team as a code owner May 2, 2025 17:29
@@ -102,6 +102,7 @@ Connect your Amazon Bedrock account to LLM Observability with your AWS Account.
1. Select the span names you would like your evaluation to run on. (Optional if traces is selected).
1. Optionally, specify the tags you want this evaluation to run on and choose whether to apply the evaluation to spans that match any of the selected tags (Any of), or all of the selected tags (All of).
1. Select what percentage of spans you would like this evaluation to run on by configuring the **sampling percentage**. This number must be greater than 0 and less than or equal to 100. A Sampling Percentage of 100% means that the evaluation runs on all valid spans, whereas a sampling percentage of 50% means that the evaluation runs on 50% of valid spans.
1. (Optional) For Failure to Answer, configure the evaluation by selecting what types of answers should be considered Failure to Answer. This configuration is detailed in [Failure to Answer Configuration][5].

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can we mention that this is only available for some BYOK LLM providers but not others?

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Yep! Will say it's only available for OpenAI and Azure OpenAI. Thanks bringing attention to this!!!

@cswatt cswatt self-assigned this May 2, 2025
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cswatt commented May 2, 2025

Hold for merge until capability is live.

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jennm commented May 13, 2025

/merge

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dd-devflow bot commented May 13, 2025

View all feedbacks in Devflow UI.

2025-05-13 22:00:54 UTC ℹ️ Start processing command /merge


2025-05-13 22:00:58 UTC ℹ️ MergeQueue: pull request added to the queue

The expected merge time in master is approximately 20m (p90).


2025-05-13 22:16:44 UTC ℹ️ MergeQueue: This merge request was merged

@dd-mergequeue dd-mergequeue bot merged commit 9009aed into master May 13, 2025
14 of 18 checks passed
@dd-mergequeue dd-mergequeue bot deleted the jenn/MLOB-2694 branch May 13, 2025 22:16
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