ratanon/claude-code

1[2  {3    "chunk_id": 1,4    "text": "Anthropic home page English Search... Search... Navigation Deployment Claude Code on Google Vertex AI Welcome Developer Guide API Guide Claude Code Model Context Protocol (MCP) Resources Release Notes Documentation Developer Discord Support Getting started Overview Set up Quickstart Memory management Common workflows Build with Claude Add Claude Code to your IDE Model Context Protocol (MCP) GitHub Actions Claude Code SDK Troubleshooting Deployment Overview Amazon Bedrock Google Vertex AI Corporate proxy LLM gateway Development containers Administration Identity and Access Management Security Monitoring Costs Reference CLI reference Interactive mode Slash commands Settings Resources Data usage Legal and compliance  Prerequisites Before configuring Claude Code with Vertex AI, ensure you have: A Google Cloud Platform (GCP) account with billing enabled A GCP project with Vertex AI API enabled Access to desired Claude models (e.g., Claude Sonnet 4) Google Cloud SDK ( gcloud ) installed and configured Quota allocated in desired GCP region Vertex AI may not support the Claude Code default models on non- us-east5 regions. Ensure you are using us-east5 and have quota allocated, or switch to supported models.  Setup  1. Enable Vertex AI API Enable the Vertex AI API in your GCP project: gcloud config set project YOUR-PROJECT-ID gcloud services enable aiplatform.googleapis.com  2. Request model access Request access to Claude models in Vertex AI: Navigate to the Vertex AI Model Garden Search for Claude models Request access to desired Claude models (e.g., Claude Sonnet 4) Wait for approval (may take 24-48 hours)  3. Configure GCP credentials Claude Code uses standard Google Cloud authentication. For more information, see Google Cloud authentication documentation .  4. Configure Claude Code Set the following environment variables: export CLAUDE_CODE_USE_VERTEX = 1 export CLOUD_ML_REGION = us-east5 export ANTHROPIC_VERTEX_PROJECT_ID = YOUR-PROJECT-ID export DISABLE_PROMPT_CACHING = 1 For heightened rate limits and prompt caching enablement, contact Google Cloud support. Once enabled, remove the DISABLE_PROMPT_CACHING setting.  5. Model configuration Claude Code uses these default models for Vertex AI: Model type Default value Primary model claude-sonnet-4@20250514 Small/fast model claude-3-5-haiku@20241022 To customize models: export ANTHROPIC_MODEL = 'claude-opus-4@20250514' export ANTHROPIC_SMALL_FAST_MODEL = 'claude-3-5-haiku@20241022'  IAM configuration Grant the required IAM roles for Claude Code. For details, see Vertex IAM documentation . We recommend creating a dedicated GCP project for Claude Code to simplify cost tracking and access control.  Troubleshooting If you encounter quota issues: Check current quotas or request quota increase through Cloud Console If you encounter model not found 404 errors: Verify you have access to the specified region Confirm model is Enabled in Model Garden If you encounter 429 errors: Ensure the primary model and small/fast model are supported in your selected region  Additional resources Vertex AI documentation Vertex AI pricing Vertex AI quotas and limits Was this page helpful? Yes No Amazon Bedrock Corporate proxy On this page Prerequisites Setup 1. Enable Vertex AI API 2. Request model access 3. Configure GCP credentials 4. Configure Claude Code 5. Model configuration IAM configuration Troubleshooting Additional resources",5    "title": "Claude Code on Google Vertex AI - Anthropic",6    "url": "https://docs.anthropic.com/en/docs/claude-code/google-vertex-ai",7    "word_count": 480,8    "char_count": 34149  }10]