“Multi-model dispatcher -- sends a task or prompt to other AI models (Codex / Gemini / Kimi / DeepSeek / Doubao / Qwen / GLM / MiniMax) and retrieves results. Triggers when you want to run a task on a specific model, need multi-model cross-validation, or want to use a cheaper model.”
Use when the user asks to research, investigate, verify facts with sources, compare competitors, study a market or industry, review literature, prepare an evidence-backed report, decide whether a topic needs external Deep Research, or make an evidence-backed judgment or recommendation. Runs breadth-first Quick Recon, Claim Ledger gating, and an Adjudication Hypothesis Spine when needed. This generated target uses Codex native collaboration and web tools.
Use when the user asks to research, investigate, verify facts with sources, compare competitors, study a market or industry, review literature, prepare an evidence-backed report, decide whether a topic needs external Deep Research, or make an evidence-backed judgment or recommendation. Runs breadth-first Quick Recon, Claim Ledger gating, and an Adjudication Hypothesis Spine when needed. This generated target maps the method onto Claude Code and Codex standalone installs.
多模型调用器 — 把任务或 prompt 派发给其他 AI 模型（Codex / Gemini / Kimi / DeepSeek / 豆包 / Qwen / GLM / MiniMax）执行并取回结果。当你想用某个或某几个其他模型跑任务、需要多模型交叉对比验证、或想用更便宜的模型省钱时触发。提供两类调用通道：API 直调（只需 API key）和 CLI 调用（需本地装对应 CLI）。触发信号：「用 Kimi/Codex/Gemini 跑一下」「交给其他 AI」「换个模型试试」「让几个模型都看看」「这个不用最贵的模型」。