multillm

Ask a question to a specific LLM model (e.g., /llm-ask oca/gpt5 explain this code)

Share or retrieve working context between Claude and Codex sessions

Query multiple LLMs in parallel for diverse perspectives

Open the MultiLLM dashboard showing sessions, token usage, costs, and backend status. Use when the user asks about LLM usage, costs, dashboard, or wants to see model statistics.

Discover available models from all LLM backends

Use this agent when the user needs a major architectural decision reviewed by multiple AI models simultaneously. It queries Claude Haiku, GPT-4o-mini, DeepSeek, and local Llama in parallel and synthesizes a consensus answer. Invoke for: "get multiple opinions", "council review", "compare LLMs on this", or any architectural decision that benefits from diverse perspectives.

Use this agent for thorough code review combining multiple LLM perspectives. Unlike security-reviewer (security-only), this covers correctness, design, performance, and maintainability. Invoke when: code has been written or modified, a PR needs review, or the user asks for feedback on implementation quality. Automatically invoked by work-orchestrator during QA phase.

Comprehensive reference agent for all cross-LLM collaboration patterns. Use this when you need to understand how to route work between models, share context across sessions, use shared memory, or leverage the full MultiLLM agent roster. This agent documents all available tools, agents, commands, and orchestration patterns.

Use this agent to compress large files, logs, or documents into a short summary using a FREE local Ollama model — preserving tokens in the main conversation. Invoke when: files are large (>200 lines), when exploring logs, or when the user says "summarize this file cheaply" or "save tokens".

Use this agent to do a security code review of any code, config, or infrastructure change. It asks GPT-4o (via OpenRouter) for a second opinion so you get a perspective from a different model family than Claude. Invoke when: code changes touch auth, crypto, network rules, IAM, secrets, or anything security-sensitive. Also invoke explicitly with "security-reviewer: review this".

Open the MultiLLM dashboard showing sessions, token usage, costs, and backend status. Use when the user asks about LLM usage, costs, dashboard, or wants to see model statistics.

Route work through the local MultiLLM gateway and decide when to ask other LLMs or helper agents for support. Use when Codex should leverage Claude, OCA, GPT, local models, or MultiLLM specialist agents for second opinions, architecture review, security review, context handoff, dashboard checks, or multi-device session consolidation.

2 hooks across 1 event