multi-provider-ai-orchestration

Routes LLM requests across multiple AI providers with key rotation, failover, and group orchestration.

5|Updated Jun 13, 2026
One-click install
npx skills add https://github.com/PatriotAi/ai-lab --skill multi-provider-ai-orchestration-patriotai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-provider-ai-orchestration
Source: https://github.com/PatriotAi/ai-lab/tree/main/melania-skills-ecosystem/skills/multi-provider-ai-orchestration
Command: npx skills add https://github.com/PatriotAi/ai-lab --skill multi-provider-ai-orchestration-patriotai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve? Applications that depend on a single LLM provider stop working when API keys hit rate limits or quotas. This Skill provides patterns for chaining multiple AI providers (paid, free, and local) so requests automatically fail over to the next key or provider, keeping the app running even on free-tier limits. ## Core Features & Use Cases - Multi-Key Provider Chains: Expand multiple API keys per provider into individual failover nodes ordered by tier priority. - Automatic Failover: Detect rate-limit errors (429/quota) and rotate to the next key or provider without stopping. - Group Orchestration: Run several models together in parallel, pipeline, or synthesis modes with roles like researcher, critic, and synthesizer. - Custom Providers: Let users add their own AI API via a validated JSON config without executing arbitrary code. - Use Case: Build a chat app that starts on a paid Anthropic key, falls back to free Groq and Gemini keys when quotas run out, and finally to a local Ollama model — all without user intervention. ## Quick Start Ask the AI to build an app that automatically switches to the next API key or provider when the current one hits its rate limit.

Frequently Asked Questions about multi-provider-ai-orchestration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I rotate multiple API keys when rate limits are hit?▼

Parse multiple keys from one field (comma or newline separated) and expand each into a separate failover node in the provider chain. When an error message contains 429, rate, quota, or limit, the logic continues to the next key of the same provider, then to the next provider.

How can multiple AI models work together on one request?▼

Use group orchestration with three modes: parallel runs all models simultaneously via Promise.allSettled, pipeline feeds each node's output into the next with assigned roles, and synthesis collects parallel answers and merges them through a synthesizer model.

Can I keep using AI for free when provider quotas run out?▼

Yes, by chaining several free-tier providers ordered by tier and enabling failover. When one provider's limit is exhausted, requests automatically move to the next node, and local models like Ollama can serve as a final fallback tier.

Can users add their own custom AI provider through a config?▼

Yes, users describe a provider with a JSON config containing a name and an http/https endpoint, plus an optional responsePath for extracting text. The system validates the config and builds the provider without using eval on arbitrary code.

Which providers accept Anthropic-format API requests directly?▼

Some providers accept Anthropic-format requests, so an existing Anthropic client works by only changing the base_url and API key. The dated model snapshot file lists which providers are currently compatible, such as DeepSeek's Anthropic endpoint.

When should I not use multi-provider orchestration?▼

Avoid it for simple single-provider API calls where only one model is involved, since the chain and failover logic add unnecessary complexity. It is designed for apps that need continuity across keys, providers, or cooperative multi-model workflows.