By starbaser
Intercept and transform LLM API traffic with a mitmproxy-based server that supports OAuth authentication, sentinel key substitution, and model routing for OpenAI and Anthropic SDKs, and debug traffic flows through CLI tools or WireGuard capture.
Guides users through ccproxy as an OpenAI-compatible and Anthropic-compatible LLM API server with SDK integration, OAuth authentication, sentinel key substitution, model routing, and troubleshooting. Use when installing ccproxy, configuring SDK clients (Anthropic, OpenAI, LiteLLM, Agent SDK) against ccproxy, setting up per-project instances, debugging authentication errors, setting up OAuth token forwarding, or understanding the hook pipeline and shaping system.
Operates the ccproxy inspector MITM system for intercepting, inspecting, and transforming LLM API traffic. Covers running CLI tools through the reverse proxy or permissive WireGuard namespace capture path, checking namespace status and doctor output, inspecting flows with client-vs-forwarded request comparison, understanding the inbound/transform/outbound pipeline, capturing and auditing shape artifacts, applying the privacy guide, and diagnosing flow issues. Use when running CLI applications through ccproxy, inspecting intercepted flows, comparing client request vs forwarded request, checking shaping profile status, using WireGuard namespace capture, explaining privacy behavior, or debugging the hook pipeline.
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npx claudepluginhub starbaser/ccproxyRun any model with an Anthropic- or OpenAI-compatible API (e.g. DeepSeek, GLM, Kimi, Qwen, MiniMax) — even your Codex subscription — as real Claude Code workflows, agent-team teammates, or one-shot subagents, driven exactly like native ones. Your main session's own auth is untouched (OAuth subscription or API key, either works); API-key providers bill the provider key via apiKeyHelper, while a Codex subscription bills through a local OAuth daemon — each worker receives its credential on demand, never through its env or argv. Requires the `cc-fleet` binary on PATH, installed separately.
Flagship+ skill pack for OpenRouter - 30 skills for multi-model routing, fallbacks, and LLM gateway mastery
Inject SubagentStart marker context for copilot-api initiator override.
When calling LLM APIs from Python code. When connecting to llamafile or local LLM servers. When switching between OpenAI/Anthropic/local providers. When implementing retry/fallback logic for LLM calls. When code imports litellm or uses completion() patterns.
TrueFoundry AI Gateway plugin — onboarding, model routing, MCP servers, prompts, Skills Registry workflows, observability, guardrails, and codebase migration. Works across Claude Code, Codex, and Cursor.
Smart LLM routing with Claude subscription monitoring, complexity-first model selection, and 20+ AI providers