docs: python & ts narrative tutorial for evals #11185
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| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "agent_spans[\"attributes.output.value\", \"attributes.input.value\"]" |
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Incorrect pandas syntax for multi-column selection
Medium Severity
The pandas column selection uses single brackets with a comma: agent_spans["attributes.output.value", "attributes.input.value"]. This syntax creates a tuple key and would raise a KeyError because no column has that tuple name. Selecting multiple columns requires double brackets: agent_spans[["col1", "col2"]].
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Note
Low Risk
Primarily documentation, navigation, and tutorial sample additions; main risk is broken/incorrect doc links or navigation/sitemap regressions rather than runtime behavior changes.
Overview
Adds a new narrative Evals Tutorials sequence (run built-in evals, customize judge endpoint, customize eval template) with new MDX pages and updates the sitemap to include the new routes and renamed “pre-built metrics” section under
running-pre-tested-evals.Overhauls
docs.jsonnavigation to a clearer taxonomy (Quick Start/Tracing/Evaluation/Datasets/Prompt Engineering/Settings/Concepts/Resources) and reshapes Integrations and SDK reference sections (provider-centric groupings, separates API reference vs integrations), with minor navbar link formatting cleanup.Adds runnable tutorial assets: a Python
agno_agent_for_evals.ipynbnotebook walking through tracing + evals, and a newtutorials/quickstarts/langchain-ts-quickstartTypeScript project (env template, scripts for pre-built and custom eval runs, setup docs).Written by Cursor Bugbot for commit 1e95ff5. This will update automatically on new commits. Configure here.