借助 Google Developer Knowledge API 生态系统全面提升开发效率

英文标题：Supercharge your development with the Google Developer Knowledge API ecosystem

Google 正式以公开预览形式推出 Developer Knowledge API 及 MCP Server，为 Google Cloud、Firebase、Android 等产品提供权威、机器可读且持续更新的开发者文档访问能力。该生态包含 gcloud CLI、Agent skill、API Explorer 及多语言客户端库，可支持终端查询、AI Agent、IDE 和生产后端系统。API 提供语义与关键词搜索、文档分块、基于官方文档的问答及批量获取能力，旨在减少模型知识截止日期导致的幻觉并优化 Token 使用。对开发者而言，这意味着无需依赖脆弱的网页抓取，即可将最新 Google 技术文档直接接入编码助手、CI/CD 流程和企业知识机器人。

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# 获取有据可依的答案
gcloud developer-knowledge answer-query --query="How do I create a BigQuery dataset?"

# 搜索文档分块
gcloud developer-knowledge documents search-chunks --query="Firestore transactions"

# 获取指定文档的元数据和内容
gcloud developer-knowledge documents describe "documents/docs.cloud.google.com/storage/docs/creating-buckets"

# 通过将错误追踪信息直接管道传输到 answer-query 命令来排查问题
gcloud developer-knowledge answer-query --query="$(cat error.txt)"

npx skills add google/skills --skill retrieving-developer-knowledge

from google.cloud import developer_knowledge_v1

def FetchMyProductReleaseNotes(my_product_name: str) -> str:
    """Fetches the latest release notes to bridge a model's knowledge cutoff."""
    # Initialize the Developer Knowledge API client
    my_api_client = developer_knowledge_v1.DeveloperKnowledgeClient()

    # Formulate a targeted query for the specific product's release notes
    my_search_query = f"{my_product_name} latest release notes"
    my_request = developer_knowledge_v1.SearchDocumentChunksRequest(
        query=my_search_query,
    )

    # Retrieve and return the relevant documentation chunks
    my_response = my_api_client.search_document_chunks(request=my_request)

    # Extract the chunk text
    my_release_notes = [my_chunk.text for my_chunk in my_response.chunks]
    return "\n".join(my_release_notes)

# Example usage:
# my_latest_notes = FetchMyProductReleaseNotes("Firestore")

# Get grounded answers
gcloud developer-knowledge answer-query --query="How do I create a BigQuery dataset?"

# Search document chunks
gcloud developer-knowledge documents search-chunks --query="Firestore transactions"

# Retrieve metadata and content for a specific document
gcloud developer-knowledge documents describe "documents/docs.cloud.google.com/storage/docs/creating-buckets"

# Troubleshoot an error trace by piping it directly into the answer-query command
gcloud developer-knowledge answer-query --query="$(cat error.txt)"

npx skills add google/skills --skill retrieving-developer-knowledge

from google.cloud import developer_knowledge_v1

def FetchMyProductReleaseNotes(my_product_name: str) -> str:
    """Fetches the latest release notes to bridge a model's knowledge cutoff."""
    # Initialize the Developer Knowledge API client
    my_api_client = developer_knowledge_v1.DeveloperKnowledgeClient()

    # Formulate a targeted query for the specific product's release notes
    my_search_query = f"{my_product_name} latest release notes"
    my_request = developer_knowledge_v1.SearchDocumentChunksRequest(
        query=my_search_query,
    )

    # Retrieve and return the relevant documentation chunks
    my_response = my_api_client.search_document_chunks(request=my_request)

    # Extract the chunk text
    my_release_notes = [my_chunk.text for my_chunk in my_response.chunks]
    return "\n".join(my_release_notes)

# Example usage:
# my_latest_notes = FetchMyProductReleaseNotes("Firestore")