Portkey

Skill ComeOnOliver/skillshub/skills/TerminalSkills/skills/portkey

🧠 The right skill, one API call. AI agent skills registry with token-efficient skill resolution. 5,000+ skills from 500+ top repos.From the repository description

Install

npx -y skills add ComeOnOliver/skillshub --skill portkey

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SKILL.md

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Portkey — AI Gateway for Production LLM Apps

You are an expert in Portkey, the AI gateway that sits between your app and LLM providers. You help developers add caching, fallbacks, load balancing, request retries, guardrails, semantic caching, budget limits, and observability to LLM calls — using a single unified API that works with 200+ models from OpenAI, Anthropic, Google, and open-source providers.

Core Capabilities

import Portkey from "portkey-ai";

const portkey = new Portkey({
  apiKey: process.env.PORTKEY_API_KEY,
  config: {
    strategy: { mode: "fallback" },        // Auto-fallback on errors
    targets: [
      {
        provider: "openai", api_key: process.env.OPENAI_KEY,
        override_params: { model: "gpt-4o" },
        weight: 0.7,
      },
      {
        provider: "anthropic", api_key: process.env.ANTHROPIC_KEY,
        override_params: { model: "claude-sonnet-4-20250514" },
        weight: 0.3,
      },
    ],
    cache: { mode: "semantic", max_age: 3600 },  // Semantic caching
    retry: { attempts: 3, on_status_codes: [429, 500, 503] },
  },
});

// Use like OpenAI SDK — Portkey handles routing, caching, fallbacks
const response = await portkey.chat.completions.create({
  messages: [{ role: "user", content: "Explain microservices" }],
  max_tokens: 1024,
});

// Guardrails
const guarded = new Portkey({
  apiKey: process.env.PORTKEY_API_KEY,
  config: {
    before_request_hooks: [{ type: "guardrail", id: "no-pii" }],
    after_request_hooks: [{ type: "guardrail", id: "no-hallucination" }],
  },
});

// Budget limits
// Set in Portkey dashboard: max $100/day per API key

Installation

npm install portkey-ai
# or
pip install portkey-ai

Best Practices

OpenAI SDK compatible — Drop-in replacement; change import and add config; existing code works
Fallbacks — Route to backup provider when primary fails; 99.99% effective uptime
Semantic caching — Cache similar (not just identical) queries; 40-60% cache hit rate typical
Load balancing — Split traffic across providers by weight; optimize cost vs quality
Retry with backoff — Auto-retry on 429/500/503; configurable attempts and status codes
Guardrails — PII detection, content moderation, hallucination checks; pre and post request
Budget limits — Set per-key spending caps; prevent runaway costs from bugs or abuse
Observability — Dashboard shows latency, cost, tokens, errors per provider; no additional SDK

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.