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Artificial intelligence · llms.txt file breakdown
Google Gemini API llms.txt
Gemini API organizes Google Gemini API content, including Docs.
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# Gemini API
Gemini API Docs and API Reference
## Docs
- [Gemini API](https://ai.google.dev/gemini-api/docs.md.txt): Gemini API Docs and API Reference
- [Environments in managed agents](https://ai.google.dev/gemini-api/docs/agent-environment.md.txt): Learn about persistent execution environments for managed agents in the Gemini API, including pre-installed software, snapshots, and configuration options.
- [Agents overview](https://ai.google.dev/gemini-api/docs/agents.md.txt): Build agents that reason, write code, manage files, and browse the web with the Gemini API.
- [Google AI Studio quickstart](https://ai.google.dev/gemini-api/docs/ai-studio-quickstart.md.txt): Documentation for Google's Gemini API.
- [Agents in AI Studio Playground](https://ai.google.dev/gemini-api/docs/aistudio-agents.md.txt): Learn how to use Agents in AI Studio
- [Build Android apps in Google AI Studio](https://ai.google.dev/gemini-api/docs/aistudio-android.md.txt): Learn how to build native Android apps with Kotlin and Jetpack Compose in Google AI Studio.
- [Build apps in Google AI Studio](https://ai.google.dev/gemini-api/docs/aistudio-build-mode.md.txt): Learn how to build full-stack applications using the vibe coding experience in Google AI Studio.
- [Deploying from Google AI Studio](https://ai.google.dev/gemini-api/docs/aistudio-deploying.md.txt): Documentation for Google's Gemini API.
- [Develop full-stack apps in Google AI Studio](https://ai.google.dev/gemini-api/docs/aistudio-fullstack.md.txt): Learn how to develop full-stack applications with server-side logic in Google AI Studio.
- [Antigravity agent](https://ai.google.dev/gemini-api/docs/antigravity-agent.md.txt): Use the Antigravity managed agent to perform multi-step tasks that require reasoning, file operations, and tool use.
- [Using Gemini API keys](https://ai.google.dev/gemini-api/docs/api-key.md.txt): Get your Gemini API key and start building in less than 5 minutes using the Interactions API.
- [API versions explained](https://ai.google.dev/gemini-api/docs/api-versions.md.txt): Documentation for Google's Gemini API.
- [Audio understanding](https://ai.google.dev/gemini-api/docs/audio.md.txt): Documentation for Google's Gemini API.
- [Available regions for Google AI Studio and Gemini API](https://ai.google.dev/gemini-api/docs/available-regions.md.txt): Documentation for Google's Gemini API.
- [Batch API](https://ai.google.dev/gemini-api/docs/batch-api.md.txt): Get started building with the Batch API
- [Billing](https://ai.google.dev/gemini-api/docs/billing.md.txt): Documentation for Google's Gemini API.
- [Context caching](https://ai.google.dev/gemini-api/docs/caching.md.txt): Learn how to use Context Caching in the Interactions API
- [Release notes](https://ai.google.dev/gemini-api/docs/changelog.md.txt): Keep track of updates to the Gemini API
- [Code execution](https://ai.google.dev/gemini-api/docs/code-execution.md.txt): Learn how to use the Gemini API code execution feature.
- [Coding agent setup & developer resources](https://ai.google.dev/gemini-api/docs/coding-agents.md.txt): Use Gemini API skills, MCP tools, plugins, and machine-readable documentation to help your coding agent write accurate Gemini code.
- [Computer use](https://ai.google.dev/gemini-api/docs/computer-use.md.txt): Learn how to use the Gemini API computer use feature.
- [Customer support analysis with Gemini and CrewAI](https://ai.google.dev/gemini-api/docs/crewai-example.md.txt): Building CrewAI Agents with Gemini
- [Building managed agents](https://ai.google.dev/gemini-api/docs/custom-agents.md.txt): How to create and use custom agents with managed agents in the Gemini API.
- [Gemini Deep Research agent](https://ai.google.dev/gemini-api/docs/deep-research.md.txt): Deep Research is an agent designed to perform complex, long-running context gathering and synthesis tasks.
- [Gemini deprecations](https://ai.google.dev/gemini-api/docs/deprecations.md.txt): Keep track of deprecation schedules for Gemini models and features
- [Document understanding](https://ai.google.dev/gemini-api/docs/document-processing.md.txt): Learn how to use the Gemini API to process documents like PDFs
- [Embeddings](https://ai.google.dev/gemini-api/docs/embeddings.md.txt): Documentation for Google's Gemini API.
- [Feedback](https://ai.google.dev/gemini-api/docs/feedback-policies.md.txt): Documentation for Google's Gemini API.
- [File input methods](https://ai.google.dev/gemini-api/docs/file-input-methods.md.txt): Get started building with Gemini's multimodal capabilities in the Gemini API
- [File search](https://ai.google.dev/gemini-api/docs/file-search.md.txt): Get started building RAG solutions with the File Search tool in the Gemini API
- [Files API](https://ai.google.dev/gemini-api/docs/files.md.txt): Documentation for Google's Gemini API.
- [Flex inference](https://ai.google.dev/gemini-api/docs/flex-inference.md.txt): Learn how to optimize costs with the Flex inference tier in the Interactions API
- [Function calling with the Gemini API](https://ai.google.dev/gemini-api/docs/function-calling.md.txt): Get started using Function Calling with the Gemini API
- [Gemini 3 developer guide](https://ai.google.dev/gemini-api/docs/gemini-3.md.txt): Learn about the new features of Gemini 3 in the Gemini API.
- [Accelerate discovery with Gemini for Research](https://ai.google.dev/gemini-api/docs/gemini-for-research.md.txt): Accelerate discovery with Gemini for Research
- [Using Gemini API keys](https://ai.google.dev/gemini-api/docs/generate-content/api-key.md.txt): Get your Gemini API key and start building in less than 5 minutes.
- [Audio understanding](https://ai.google.dev/gemini-api/docs/generate-content/audio.md.txt): Documentation for Google's legacy Gemini Generate Content API.
- [Context caching](https://ai.google.dev/gemini-api/docs/generate-content/caching.md.txt): Learn how to use Context Caching in the Gemini API
- [Code execution](https://ai.google.dev/gemini-api/docs/generate-content/code-execution.md.txt): Learn how to use the Gemini API code execution feature.
- [Computer use](https://ai.google.dev/gemini-api/docs/generate-content/computer-use.md.txt): Learn how to use the Gemini API computer use feature.
- [Document understanding](https://ai.google.dev/gemini-api/docs/generate-content/document-processing.md.txt): Learn how to use the Gemini API to process documents like PDFs
- [File input methods](https://ai.google.dev/gemini-api/docs/generate-content/file-input-methods.md.txt): Get started building with Gemini's multimodal capabilities in the Gemini API
- [File search](https://ai.google.dev/gemini-api/docs/generate-content/file-search.md.txt): Get started building RAG solutions with the File Search tool in the Gemini API
- [Files API](https://ai.google.dev/gemini-api/docs/generate-content/files.md.txt): Documentation for Google's legacy Gemini Generate Content API.
- [Flex inference](https://ai.google.dev/gemini-api/docs/generate-content/flex-inference.md.txt): Documentation for Google's legacy Gemini Generate Content API.
- [Function calling with the Gemini API](https://ai.google.dev/gemini-api/docs/generate-content/function-calling.md.txt): Get started using Function Calling with the Gemini API
- [Gemini 3 developer guide](https://ai.google.dev/gemini-api/docs/generate-content/gemini-3.md.txt): Learn about the new features of Gemini 3 in the Gemini API.
- [Getting started](https://ai.google.dev/gemini-api/docs/generate-content/get-started.md.txt): Get started with the Gemini API for Developers using generateContent
- [Grounding with Google Search](https://ai.google.dev/gemini-api/docs/generate-content/google-search.md.txt): Ground your model's responses in real-time information from Google Search to improve factual accuracy and provide citations.
- (https://ai.google.dev/gemini-api/docs/generate-content/image-generation.md.txt): Get started generating images with the Gemini API using Nano Banana and Nano Banana Pro
- [Image understanding](https://ai.google.dev/gemini-api/docs/generate-content/image-understanding.md.txt): Get started building with Gemini's multimodal capabilities in the Gemini API
- [Grounding with Google Maps](https://ai.google.dev/gemini-api/docs/generate-content/maps-grounding.md.txt): Ground your model's responses in rich, real-world data from Google Maps to provide factually accurate, location-aware answers
- [Media resolution](https://ai.google.dev/gemini-api/docs/generate-content/media-resolution.md.txt): Learn about how to use media resolutions with multimodal inputs.
- [Generate music with Lyria 3.5](https://ai.google.dev/gemini-api/docs/generate-content/music-generation.md.txt): Generate music with the Gemini API using Lyria 3 Clip and Lyria 3.5
- [Priority inference](https://ai.google.dev/gemini-api/docs/generate-content/priority-inference.md.txt): Documentation for Google's legacy Gemini Generate Content API.
- [Text-to-speech generation (TTS)](https://ai.google.dev/gemini-api/docs/generate-content/speech-generation.md.txt): Generate high-fidelity speech and multi-speaker audio with the Gemini API using gemini-3.8-flash-tts and gemini-3.8-flash-lite-tts.
- [Structured outputs](https://ai.google.dev/gemini-api/docs/generate-content/structured-output.md.txt): Learn how to generate structured JSON output with the Gemini API.
- [Text generation](https://ai.google.dev/gemini-api/docs/generate-content/text-generation.md.txt): Get started building chat and text generation apps with the Gemini API
- [Gemini thinking](https://ai.google.dev/gemini-api/docs/generate-content/thinking.md.txt): Documentation for Google's legacy Gemini Generate Content API.
- [Thought signatures](https://ai.google.dev/gemini-api/docs/generate-content/thought-signatures.md.txt): Documentation for Google's legacy Gemini Generate Content API.
- [Understand and count tokens](https://ai.google.dev/gemini-api/docs/generate-content/tokens.md.txt): Documentation for Google's legacy Gemini Generate Content API.
- [Combine built-in tools and function calling](https://ai.google.dev/gemini-api/docs/generate-content/tool-combination.md.txt): Learn how to maintain context and enable built-in and custom tool combinations in the Gemini API.
- [URL context](https://ai.google.dev/gemini-api/docs/generate-content/url-context.md.txt): Documentation for Google's legacy Gemini Generate Content API.
- [Video understanding](https://ai.google.dev/gemini-api/docs/generate-content/video-understanding.md.txt): Get started building with Gemini's multimodal capabilities in the Gemini API
- [Webhooks](https://ai.google.dev/gemini-api/docs/generate-content/webhooks.md.txt): Learn how to use webhooks in the Gemini API.
- [What's new in Gemini 3.5 Flash](https://ai.google.dev/gemini-api/docs/generate-content/whats-new-gemini-3.5.md.txt): Learn about the new features and migration guidance for Gemini 3.5 Flash.
- [Getting started](https://ai.google.dev/gemini-api/docs/get-started.md.txt): Get started with the Gemini API for Developers using the Interactions API
- [Grounding with Google Search](https://ai.google.dev/gemini-api/docs/google-search.md.txt): Ground your model's responses in real-time information from Google Search to improve factual accuracy and provide citations.
- (https://ai.google.dev/gemini-api/docs/image-generation.md.txt): Get started generating images with the Gemini API using Nano Banana and Nano Banana Pro
- [Image understanding](https://ai.google.dev/gemini-api/docs/image-understanding.md.txt): Get started building with Gemini's multimodal capabilities in the Gemini API
- [Generate images using Imagen](https://ai.google.dev/gemini-api/docs/imagen.md.txt): Imagen models are shut down; migrate to Nano Banana for image generation.
- [Interactions API: Breaking changes migration guide (May 2026)](https://ai.google.dev/gemini-api/docs/interactions-breaking-changes-may-2026.md.txt): Guide for migrating to upcoming breaking changes in the Interactions API, including the steps schema and response format changes.
- [Interactions API](https://ai.google.dev/gemini-api/docs/interactions-overview.md.txt): The Interactions API is the simplest and recommended way to build with Gemini models and agents.
- [ReAct agent from scratch with Gemini and LangGraph](https://ai.google.dev/gemini-api/docs/langgraph-example.md.txt): Building LangGraph Agents with Gemini
- [LearnLM](https://ai.google.dev/gemini-api/docs/learnlm.md.txt): Documentation for Google's Gemini API.
- [Gemini API libraries](https://ai.google.dev/gemini-api/docs/libraries.md.txt): Download and get started with the Gemini API Libraries + SDKs
- [Gemini Live API overview](https://ai.google.dev/gemini-api/docs/live-api.md.txt): Documentation for Google's Gemini API.
- [Live API best practices](https://ai.google.dev/gemini-api/docs/live-api/best-practices.md.txt): Documentation for Google's Gemini API.
- [Live API capabilities guide](https://ai.google.dev/gemini-api/docs/live-api/capabilities.md.txt): Documentation for Google's Gemini API.
- [Ephemeral tokens](https://ai.google.dev/gemini-api/docs/live-api/ephemeral-tokens.md.txt): Documentation for Google's Gemini API.
- [Get started with Gemini Live API using the Google GenAI SDK](https://ai.google.dev/gemini-api/docs/live-api/get-started-sdk.md.txt): Documentation for Google's Gemini API.
- [Get started with Gemini Live API using WebSockets](https://ai.google.dev/gemini-api/docs/live-api/get-started-websocket.md.txt): Documentation for Google's Gemini API.
- [Live translation with Gemini Live API](https://ai.google.dev/gemini-api/docs/live-api/live-translate.md.txt): Documentation for Google's Gemini API.
- [Session management with Live API](https://ai.google.dev/gemini-api/docs/live-api/session-management.md.txt): Documentation for Google's Gemini API.
- [Tool use with Live API](https://ai.google.dev/gemini-api/docs/live-api/tools.md.txt): Documentation for Google's Gemini API.
- [Research agent with Gemini and LlamaIndex](https://ai.google.dev/gemini-api/docs/llama-index.md.txt): Building Research Agents with Gemini
- [Logs and datasets](https://ai.google.dev/gemini-api/docs/logs-datasets.md.txt): Get started with logging in your Gemini API workflows.
- [Data logging and sharing](https://ai.google.dev/gemini-api/docs/logs-policy.md.txt): The policy for sharing your data logs for Gemini improvements.
- [Long context](https://ai.google.dev/gemini-api/docs/long-context.md.txt): Learn about how to get started building with long context (1 million context window) on Gemini.
- [Managed agents quickstart](https://ai.google.dev/gemini-api/docs/managed-agents-quickstart.md.txt): Quickstart guide for making your first call to the manage agents API.
- [Grounding with Google Maps](https://ai.google.dev/gemini-api/docs/maps-grounding.md.txt): Ground your model's responses in rich, real-world data from Google Maps to provide factually accurate, location-aware answers
- [Media resolution](https://ai.google.dev/gemini-api/docs/media-resolution.md.txt): Learn about how to use media resolutions with multimodal inputs in the Interactions API.
- [Migrate to the Google GenAI SDK](https://ai.google.dev/gemini-api/docs/migrate.md.txt): Documentation for Google's Gemini API.
- [Gemini Developer API vs. Gemini platform](https://ai.google.dev/gemini-api/docs/migrate-to-cloud.md.txt): Documentation for Google's Gemini API.
- [Migrating to the Interactions API](https://ai.google.dev/gemini-api/docs/migrate-to-interactions.md.txt): Guide for migrating from generateContent to the Interactions API.
- [Fine-tuning with the Gemini API](https://ai.google.dev/gemini-api/docs/model-tuning.md.txt): Learn how fine-tune a Gemini model with the Gemini API
- [Models](https://ai.google.dev/gemini-api/docs/models.md.txt): Learn about all of Google's most advanced AI models
- [Antigravity preview](https://ai.google.dev/gemini-api/docs/models/antigravity-preview-05-2026.md.txt): Learn about Antigravity Agent preview model from Google
- [Deep Research Max preview](https://ai.google.dev/gemini-api/docs/models/deep-research-max-preview-04-2026.md.txt): Learn about Gemini Deep Research Max preview model from Google
- [Deep Research preview](https://ai.google.dev/gemini-api/docs/models/deep-research-preview-04-2026.md.txt): Learn about Gemini Deep Research preview model from Google
- [Deep Research Pro preview](https://ai.google.dev/gemini-api/docs/models/deep-research-pro-preview-12-2025.md.txt): Learn about Gemini Deep Research Pro preview model from Google
- [Gemini 2.0 Flash](https://ai.google.dev/gemini-api/docs/models/gemini-2.0-flash.md.txt): Learn about Gemini 2.0 Flash from Google
- [Gemini 2.0 Flash-Lite](https://ai.google.dev/gemini-api/docs/models/gemini-2.0-flash-lite.md.txt): Learn about Gemini 2.0 Flash-Lite from Google
- [Gemini 2.5 computer use model](https://ai.google.dev/gemini-api/docs/models/gemini-2.5-computer-use-preview-10-2025.md.txt): Learn about the Gemini Computer Use model from Google
- [Gemini 2.5 Flash](https://ai.google.dev/gemini-api/docs/models/gemini-2.5-flash.md.txt): Learn about Gemini 2.5 Flash from Google
- [Gemini 2.5 Flash image (Nano Banana)](https://ai.google.dev/gemini-api/docs/models/gemini-2.5-flash-image.md.txt): Learn about Gemini 2.5 Flash Image from Google
- [Gemini 2.5 Flash-Lite](https://ai.google.dev/gemini-api/docs/models/gemini-2.5-flash-lite.md.txt): Learn about Gemini 2.5 Flash-Lite from Google
- [Gemini 2.5 Flash-Lite preview](https://ai.google.dev/gemini-api/docs/models/gemini-2.5-flash-lite-preview-09-2025.md.txt): Learn about Gemini 2.5 Flash-Lite Preview from Google
- [Gemini 2.5 Flash Live Preview](https://ai.google.dev/gemini-api/docs/models/gemini-2.5-flash-native-audio-preview-12-2025.md.txt): Learn about Gemini 2.5 Flash Live from Google
- [Gemini 2.5 Flash Preview](https://ai.google.dev/gemini-api/docs/models/gemini-2.5-flash-preview-09-2025.md.txt): Learn about Gemini 2.5 Flash Preview from Google
- [GMeasured from the saved file
Linked document
- UTF-8 text size
- 36.8 KB37731 bytes
- Token count
- 9291o200k_base encoding
- Markdown links
- 222222 distinct URLs
- Fenced code blocks
- 0230 lines in the file
Size measures the captured UTF-8 text, not compressed transfer size. Tokens are counted with a named tokenizer; other models can count differently. Neither measure establishes context compatibility or answer quality.
- Project H1
- Gemini API
Context architecture
How the content is divided
1 H2 sections organize 222 parsed Markdown links. 0 links point to .md or .markdown paths; 0 link occurrences use another hostname. Linked destinations have not been recursively validated.
| H2 section | Links | UTF-8 bytes | Tokens |
|---|---|---|---|
| DocsLine 5 | 222 | 37674 | 9277 |
Link counts exclude parsed fenced and inline code and resolve relative destinations against the final endpoint. Section sizes cover the text below each H2 until the next H2.
Embedded material
Code, installation and API examples
- Fenced blocks
- 0 closed
- Declared languages
- No fenced blocks detected
- Package-install commands
- 0 detected in fenced or inline code
- Authentication examples
- 0 fenced lines match API-key, Authorization, Bearer, OAuth or access-token patterns
- HTTP request examples
- 0 fenced lines match request-method patterns
- Authentication links
- 1 links have authentication-related labels
Embedded example text and links to further documentation are counted separately. A code block does not establish that a sample runs or that an authentication flow succeeds.
Publisher prioritization
The Optional section
No H2 section named “Optional” was detected in this file.
The community proposal uses Optional by convention for secondary links that can be skipped for a shorter context. This label does not establish that everything outside it is critical, or that the material inside it is deprecated.
Machine-readable routes
MCP references and configuration text
MCP-related text was detected in the captured file. 0 links have MCP-related labels or paths. 0 fenced lines match mcpServers, mcp_servers or an mcp add command.
These are text and link observations. No MCP server connection, authentication or tool call was tested.
Index and bundle
llms-full.txt companion
Not found at checked URLs
A verified text response establishes a companion at the checked URL. It does not prove the bundle contains all product documentation, that generation is automated, or that it fits an assistant’s context window.
Change evidence
What can be said about freshness
This capture establishes a baseline. Update frequency cannot be determined from one observation.
Linked release and migration material
3 links have release, changelog, deprecation or migration terms in their labels or paths. These provide places to investigate product changes separately.
File changes can reveal documentation edits or navigation changes. They do not by themselves measure product release velocity, accuracy, agent adoption or AI visibility.
Capture identity and measurement method
- Requested endpoint
- https://ai.google.dev/gemini-api/docs/llms.txt
- Final endpoint
- https://ai.google.dev/gemini-api/docs/llms.txt
- HTTP status
- 200
- Content type
- text/markdown; charset=utf-8
- Text retrieval
- Firecrawl literal text capture
- Tokenizer
- tiktoken 0.14.0 · o200k_base
- SHA-256 of saved UTF-8 text
64cbc4fe0370487bb565adac82624a873049361d4f28817946ec2f1659597c6c
Counts use a deterministic parser, not a spec-compliance grade. Unusual Markdown and indented code can fall outside its recognized patterns. See the llms.txt proposal and tokenizer implementation.