ratanon/claude-code

1[2  {3    "chunk_id": 1,4    "text": "Anthropic home page English Search... Search... Navigation Deployment LLM gateway configuration 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 LLM gateways provide a centralized proxy layer between Claude Code and model providers, offering: Centralized authentication - Single point for API key management Usage tracking - Monitor usage across teams and projects Cost controls - Implement budgets and rate limits Audit logging - Track all model interactions for compliance Model routing - Switch between providers without code changes  LiteLLM configuration LiteLLM is a third-party proxy service. Anthropic doesnt endorse, maintain, or audit LiteLLMs security or functionality. This guide is provided for informational purposes and may become outdated. Use at your own discretion.  Prerequisites Claude Code updated to the latest version LiteLLM Proxy Server deployed and accessible Access to Claude models through your chosen provider  Basic LiteLLM setup Configure Claude Code :  Authentication methods Static API key Simplest method using a fixed API key: export ANTHROPIC_AUTH_TOKEN = sk-litellm-static-key { \"env\" : { \"ANTHROPIC_AUTH_TOKEN\" : \"sk-litellm-static-key\" } } This value will be sent as the Authorization and Proxy-Authorization headers, although Authorization may be overwritten (see Vertex Client-specified credentials below). Dynamic API key with helper For rotating keys or per-user authentication: Create an API key helper script: #!/bin/bash vault kv get -field = api_key secret/litellm/claude-code jwt encode  --secret = \" ${JWT_SECRET} \"  --exp = \"+1h\"  '{\"user\":\"' ${ USER } '\",\"team\":\"engineering\"}' Configure Claude Code settings to use the helper: { \"apiKeyHelper\" : \"~/bin/get-litellm-key.sh\" } Set token refresh interval: export CLAUDE_CODE_API_KEY_HELPER_TTL_MS = 3600000 This value will be sent as Authorization , Proxy-Authorization , and X-Api-Key headers, although Authorization may be overwritten (see Google Vertex AI through LiteLLM ). The apiKeyHelper has lower precedence than ANTHROPIC_AUTH_TOKEN or ANTHROPIC_API_KEY .  Provider-specific configurations Anthropic API through LiteLLM Using pass-through endpoint : export ANTHROPIC_BASE_URL = https://litellm-server:4000/anthropic Amazon Bedrock through LiteLLM Using pass-through endpoint : export ANTHROPIC_BEDROCK_BASE_URL = https://litellm-server:4000/bedrock export CLAUDE_CODE_SKIP_BEDROCK_AUTH = 1 export CLAUDE_CODE_USE_BEDROCK = 1 Google Vertex AI through LiteLLM Using pass-through endpoint : Recommended: Proxy-specified credentials export ANTHROPIC_VERTEX_BASE_URL = https://litellm-server:4000/vertex_ai/v1 export ANTHROPIC_VERTEX_PROJECT_ID = your-gcp-project-id export CLAUDE_CODE_SKIP_VERTEX_AUTH = 1 export CLAUDE_CODE_USE_VERTEX = 1 export CLOUD_ML_REGION = us-east5 Alternative: Client-specified credentials If you prefer to use local GCP credentials: Authenticate with GCP locally: gcloud auth application-default login Set Claude Code environment: export ANTHROPIC_VERTEX_BASE_URL = https://litellm-server:4000/vertex_ai/v1 export ANTHROPIC_VERTEX_PROJECT_ID = your-gcp-project-id export CLAUDE_CODE_USE_VERTEX = 1 export CLOUD_ML_REGION = us-east5 Update LiteLLM header configuration: Ensure your LiteLLM config has general_settings.litellm_key_header_name set to Proxy-Authorization , since the pass-through GCP token will be located on the Authorization header.  Unified endpoint Using LiteLLMs Anthropic format endpoint : export ANTHROPIC_BASE_URL = https://litellm-server:4000  Model selection By default, the models will use those specified in Model configuration . If you have configured custom model names in LiteLLM, set the aforementioned environment variables to those custom names. For more detailed information, refer to the LiteLLM documentation .  Additional resources LiteLLM documentation Claude Code settings Corporate proxy setup Third-party integrations overview Was this page helpful? Yes No Corporate proxy Development containers On this page LiteLLM configuration Prerequisites Basic LiteLLM setup Authentication methods Provider-specific configurations Unified endpoint Model selection Additional resources",5    "title": "LLM gateway configuration - Anthropic",6    "url": "https://docs.anthropic.com/en/docs/claude-code/llm-gateway",7    "word_count": 583,8    "char_count": 47169  }10]