References: Claude Code Configuration, Environment Variables, Connecting to an LLM Gateway Claude Code talks to the Anthropic Messages API. When connecting to a custom gateway, use the env block of settings.json to override the endpoint and the model. 1. Where the Configuration File Lives The user configuration is at ~/.

References: Codex Configuration Basics, Codex Advanced Configuration Codex uses the OpenAI Responses API. When connecting to a custom gateway, define the endpoint with [model_providers.<id>], and the top-level model and model_provider determine the actual call. 1. Where the Configuration File Lives The user configuration is at ~/.codex/config.toml by default (on Windows,

References: OpenCode Config, Providers OpenCode uses the OpenAI Chat Completions API. When connecting to a custom gateway, declare the endpoint and the model list in the provider block of opencode.jsonc. 1. Installation and Configuration File 1 npm install -g opencode-ai The user configuration is at ~/.config/opencode/opencode.jsonc by default (opencode.json also

The disk pressure on the original etcd is reduced to below 5%, the risk factor is very low, and the cluster shows no anomalies. 1. Deploying the Events Etcd Cluster Events have lower consistency requirements than the main Etcd. Deploying a 3-node cluster is recommended. SSD is recommended for the disk, and the data directory should be kept separate from the main Etcd.

1. What LiteLLM Is LiteLLM is an open-source LLM adapter: call 100+ APIs (OpenAI, Anthropic, Gemini, Bedrock, Azure, Ollama, vLLM, Qwen, and more) using the standard OpenAI format. Two ways to use it: Python SDK — called directly from your code AI Gateway — a team-level proxy with authentication, billing,