Proxy service enabling Claude Code to access Claude models via GCP Vertex AI. Ideal for operations teams needing secure, scalable AI model access. Integrates with existing workflows and tools.
git clone https://github.com/OrionStarAI/claudecode-vertex-proxy.gitProxy service enabling Claude Code to access Claude models via GCP Vertex AI. Ideal for operations teams needing secure, scalable AI model access. Integrates with existing workflows and tools.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/OrionStarAI/claudecode-vertex-proxyCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I'm using the claudecode-vertex-proxy to connect Claude Code to Vertex AI. Here's my setup: [COMPANY] is [INDUSTRY], and I'm working with [DATA]. I need to [SPECIFIC TASK]. Can you guide me through the process?
# Claude Code to Vertex AI Proxy Setup Guide ## Prerequisites - GCP account with Vertex AI access - Claude Code API credentials - Basic understanding of cloud services ## Step-by-Step Process 1. **Install the Proxy Service**: ```bash git clone https://github.com/your-repo/claudecode-vertex-proxy.git cd claudecode-vertex-proxy pip install -r requirements.txt ``` 2. **Configure API Keys**: - Add your Claude Code API key to `config.json` - Set up GCP credentials for Vertex AI 3. **Deploy the Proxy**: ```bash python proxy_server.py ``` 4. **Connect Claude Code**: - Point your Claude Code client to the proxy endpoint - Test the connection with a simple API call ## Troubleshooting - Ensure your GCP project has the necessary Vertex AI APIs enabled - Check firewall rules for any blocked ports - Verify API key permissions
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