Official Technical Resources: Google / DeepMind (page 1)
Official Technical Resources · Google / DeepMind. Model documentation, research and developer resources. This source has 135 entries admitted under this category's review policy, listed across 9 pages; each links directly to the original.
Authority tiers in this category: A1–A2.
Environments in managed agents
Learn about persistent execution environments for managed agents in the Gemini API, including pre-installed software, snapshots, and configuration options.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: AI Agent · Tool Calling
Link last checked: 2026-09-24
Agents overview
Build agents that reason, write code, manage files, and browse the web with the Gemini API.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: AI Agent · Tool Calling
Link last checked: 2026-09-24
API versions explained
Documentation for Google's Gemini API.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: Retrieval and Semantic Search · Retrieval-Augmented Generation (RAG)
Link last checked: 2026-09-24
Audio understanding
Documentation for Google's Gemini API.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: Streaming Output · Multimodal Models
Link last checked: 2026-09-24
Available regions for Google AI Studio and Gemini API
Documentation for Google's Gemini API.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: Retrieval and Semantic Search · Retrieval-Augmented Generation (RAG)
Link last checked: 2026-09-24
Batch API
Get started building with the Batch API
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: Model Selection and Cost · Multimodal Models
Link last checked: 2026-09-24
Context caching
Learn how to use Context Caching in the Interactions API
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: Context Window · Prompt Caching
Link last checked: 2026-09-24
Code execution
Learn how to use the Gemini API code execution feature.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: Code Execution and Sandboxing · AI Agent
Link last checked: 2026-09-24
Set up your coding assistant with Gemini MCP and Skills
Install Gemini API skills to give your AI coding assistant access to the latest documentation and best practices.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: AI Agent · Tool Calling
Link last checked: 2026-09-24
Computer use
Learn how to use the Gemini API computer use feature.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: Computer Use · AI Agent
Link last checked: 2026-09-24
Building managed agents
How to create and use custom agents with managed agents in the Gemini API.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: AI Agent · Tool Calling
Link last checked: 2026-09-24
Gemini Deep Research agent
Deep Research is an agent designed to perform complex, long-running context gathering and synthesis tasks.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: AI Agent · Tool Calling
Link last checked: 2026-09-24
Gemini deprecations
Keep track of deprecation schedules for Gemini models and features
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: Model Selection and Cost · Multimodal Models
Link last checked: 2026-09-24
Document understanding
Learn how to use the Gemini API to process documents like PDFs
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: Retrieval and Semantic Search · Retrieval-Augmented Generation (RAG)
Link last checked: 2026-09-24
Embeddings
Documentation for Google's Gemini API.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only Google's own implementation and claims. Recheck preview models, pricing and lifecycle before use.
Related concepts: Retrieval and Semantic Search · Retrieval-Augmented Generation (RAG)
Link last checked: 2026-09-24