Google 推出 Developer Knowledge API 生态：gcloud CLI、Agent 技能与多语言客户端库

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If you build AI agents or developer tools on Google Cloud, stop relying on brittle web-scraping or wrestling with stale LLM training cutoffs.

Build faster, smarter, and with greater confidence using the Google Developer Knowledge API ecosystem, including our gcloud CLI surface, an official agent skill, API Explorer, and multi-language client libraries. Whether you are operating in a command-line terminal, prompting an AI agent, testing requests interactively, or writing production software, our tools deliver Google documentation.

What is the Developer Knowledge API?

The Developer Knowledge API is Google's official, programmatic source of truth for developer documentation about Google Cloud, Firebase, Android, and more. Designed specifically for modern AI agents, IDE extensions, and automated workflows, it replaces brittle web-scraping with a structured API that serves fresh, Markdown-formatted documentation.

By offering semantic and keyword search, intelligent document chunking, and grounded Q&A capabilities, the API ensures your agents and developer tools remain accurate and token-efficient.

The Developer Knowledge API is indexed frequently to ensure predictable retrieval, fresh documentation, and minimal lag between upstream updates and agent access.

Tooling overview and capabilities

With the Developer Knowledge API interfaces, developers and AI agents can discover, retrieve, and synthesize answers grounded in official Google documentation across terminals, IDEs, and backend codebases.

gcloud CLI

The Developer Knowledge API gcloud CLI surface integrates official documentation search, retrieval, and grounded Q&A into your command-line environment. It comes pre-installed in Cloud Shell and works across standard Google Cloud SDK installations on Linux, macOS, and Windows without requiring extra plugins or configuration.

Key capabilities and commands:

answer-query: Get grounded answers in your terminal; documents search-chunks: Search document snippets and chunks across Google documentation; documents describe: Retrieve metadata and content for a specific document

Examples:

Agent skill

The Developer Knowledge agent skill establishes a link between AI coding assistants and Google's documentation ecosystem, enabling autonomous tools to access up-to-date technical specifications.

Key Benefits

Grounding & reduced hallucinations: Provides AI coding assistants and agentic workflows access to up-to-date Google developer documentation, reducing hallucinations from stale LLM training cutoffs; Optimized token & context usage: Uses a multi-step retrieval workflow—inspecting code and documentation chunks using searchDocumentChunks first before fetching complete Markdown pages with documents.get, or delivering grounded answers using answerQuery; Broad tooling compatibility: Uses the standard MCP integration across Google Antigravity, Claude Code, Cursor, GitHub Copilot, and custom agentic frameworks. The skill instructs your assistant how to use the Developer Knowledge MCP server (or fall back to the REST API via curl)

Configure the agent skill

Configure the skill by running the following CLI helper command in your terminal:

This command installs the Developer Knowledge agent skill in your project. The skill instructs your assistant how to use the Developer Knowledge MCP server (or fall back to the REST API using curl).

To connect to the MCP server in your IDE, or to configure authentication with Application Default Credentials or an API key, see Connect to the Developer Knowledge MCP server.

Client libraries

The client libraries let you embed documentation retrieval, search, and grounded answer generation into production systems, automated CI/CD pipelines, and enterprise knowledge bots.

Key benefits:

Programmatic access: Provides programmatic access to AnswerQuery, SearchDocumentChunks, GetDocument, and BatchGetDocuments; Idiomatic integration: Native type definitions, builder patterns, error handling, and asynchronous execution tailored to each supported language ecosystem; Batching and efficiency: Methods like BatchGetDocuments enable retrieving up to 20 documents in a single API call; Enterprise security and reliability: Support for Google Cloud Application Default Credentials, automatic retries, and structured citation tracking

Supported languages:

C#; Go; Java; Node.js and TypeScript; PHP; Python; Ruby

Code examples:

The following example demonstrates how an AI agent can use the Python client library to fetch the latest product release notes, ensuring its responses are grounded in data beyond its training cutoff:

Code examples across various tasks:

Answer a query with grounded generation; Search for document chunks; Retrieve a document; Retrieve multiple documents

APIs Explorer

The Google APIs Explorer for the Developer Knowledge API offers an interactive, zero-code interface integrated into Google's developer site, enabling experimentation and verification of API requests and response structures.

Through the APIs Explorer, you can test the following core endpoints:

Next steps

If you already have the gcloud CLI: You can start querying official documentation right away using the gcloud CLI surface; If you don't have the gcloud CLI: Give the agent skill to your AI coding assistant or agent to enable grounded retrieval

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