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Gemini API Logs and datasets

Explains how to access, manage, and utilize logs and datasets within the Gemini API environment for monitoring and data management.

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Files assembled from official documentation

Viewing SKILL.md

Gemini API Logs and datasets

Explains how to access, manage, and utilize logs and datasets within the Gemini API environment for monitoring and data management.

When To Use

Use when you need to implement data logging, share datasets, or monitor API usage patterns for model optimization and auditing.

Reference Files

FileContainsUse For
SKILL.mdEntry point: scope, routing table, and workflow.Start here.
docs/gemini-api-logs-and-datasets-workflow-guide.mdA guide explaining how to enable logging in Google AI Studio, view application logs, and curate datasets for the Gemini API.Questions about a guide explaining how to enable logging in Google AI Studio, view application logs, and curate datasets for the Gemi...

What This Skill Covers

  • This guide contains everything you need to get started with enabling logging for your existing Gemini API applications. In this guide you'll learn how to vie...
  • Main sections: 1. Enable logging in Google AI Studio, 2. View logs in AI Studio, 3. Curate and share datasets, Next steps & what to test, Compatibility.

Workflow

  1. Open the most relevant file under docs/ for the exact documented workflow and wording.
  2. Open schemas/ files for exact structured contracts.
  3. Open examples/ files for concrete requests, commands, snippets, and manifests.
  4. Do not add behavior or configuration that is not present in the attached source files.

Canonical source: https://ai.google.dev/gemini-api/docs/logs-datasets