Relay To Agent

**Quick judgment**: This skill is a practical, focused CLI relay for interacting with any OpenAI-compatible chat endpoint, with solid session management and agent configuration. It is most suitable for technical users who already work with multiple AI backends and want a unified, scriptable interface. **Strengths** - Broad compatibility with many services that implement the Chat Completions API (Connect Chat, OpenRouter, LiteLLM, vLLM, Ollama, custom APIs). - Clear CLI primitives: list agents, send messages, reset sessions, select sessions, and get raw JSON output. - Persistent local session storage (per agent + session) enables real multi-turn workflows from the terminal. - Configuration model (agents.json + environment variables) fits well into developer workflows and infrastructure. **Key risks / limitations** - Safety and content controls are entirely delegated to the underlying provider; the relay itself does not add guardrails, filtering, or policy enforcement. - Reliability features (retries, timeout handling, structured error reporting) are not described; production use may require extra wrapping or monitoring. - Requires comfort with Node.js, CLI usage, and configuration files; less accessible to non-technical users. - Local session storage may leak sensitive conversation history if used on shared machines without proper filesystem protections. **Recommended scenarios** - Developers or ops teams managing multiple AI providers who want a single, configurable CLI entry point. - Power users automating AI interactions via shell scripts, cron jobs, or CI pipelines. - Teams experimenting with self-hosted models (vLLM, Ollama) or proxy layers (LiteLLM) and needing a quick test harness. - Environments where you want to define a set of named, documented “agents” in a central config and let others consume them via a simple CLI. Not ideal for non-technical end users or for use cases that require strong, centralized safety controls or detailed observability without additional tooling around it.