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Integrate and route AI model requests through RouterBase. Use when migrating OpenAI-compatible clients, choosing model IDs, configuring fallbacks, or building chat, image, video, audio, speech, and embedding workflows.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | routerbase-model-gateway |
| category | ai-ml |
| description | Integrate and route AI model requests through RouterBase. Use when migrating OpenAI-compatible clients, choosing model IDs, configuring fallbacks, or building chat, image, video, audio, speech, and embedding workflows. |
Use routerbase as an OpenAI-compatible model gateway for chat, image, video, audio, speech, and embedding workloads. This skill helps agents migrate existing SDK clients, keep credentials private, choose model IDs, and document safe fallback behavior.
https://routerbase.com/v1.ROUTERBASE_API_KEY as a server-side secret.Use routerbase-model-gateway to migrate this OpenAI chat integration to RouterBase.
Use routerbase-model-gateway to design a fallback model plan for low-latency support chat.
Use routerbase-model-gateway to add image and video generation with safe polling and storage.
Prefer the user's existing OpenAI-compatible SDK. Change the base URL, store the API key in environment configuration, and keep request payloads standard.
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.ROUTERBASE_API_KEY,
baseURL: process.env.ROUTERBASE_BASE_URL || "https://routerbase.com/v1",
});
const response = await client.chat.completions.create({
model: "google/gemini-2.5-flash",
messages: [{ role: "user", content: "Write one sentence about model routing." }],
});
When recommending models, return a table like this:
| Use case | Primary model | Fallback model | Reason | Validation |
| --- | --- | --- | --- | --- |
| Support chat | model-id | model-id | Low latency and tool support | Run fixture prompts and compare output shape |
Treat model IDs, pricing, and availability as live data. If a live catalog check is not possible, mark examples clearly and tell the user what must be verified before production.
ROUTERBASE_API_KEY, wrong environment, or server-side secret not loaded./v1, wrong media endpoint, or client still pointing at another provider.response_format or no downstream schema validation.Return:
Commit the session to durable vault memory and prepare a clean resume point
Boot the session, load context from the vault, and surface what matters
Run CIAgent regression checks after changing an AI agent's code, prompts, or knowledge base in a repo that has agentci_spec.yaml, and interpret the results. Use after editing agent logic, before committing agent changes, or when the user asks whether the agent still works.
Set up CIAgent regression testing for the AI agent in this repo — write a runner, record golden baselines, generate a test spec, and verify it. Use when the user asks to add tests, evals, or regression testing for their AI agent, or to set up CIAgent.
Use when the user asks about SSL/TLS certificates, certificate expiration, monitoring domains for cert health, or issuing free Let's Encrypt certificates. Triggers include "is my cert expiring", "scan ssl on X", "check certificate", "monitor this domain", "issue a free cert", "renew certificate", "Let's Encrypt", "TLS Radar". This skill picks the right TLS Radar tool for each question.
Marketing command center. Email campaigns (Klaviyo), paid ads (Meta/Google), analytics (GA4), SEO, and social media metrics. One dashboard for all marketing channels.