perplexity-multi-env-setup

8
0
Source

Configure Perplexity across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or implementing environment-specific Perplexity configurations. Trigger with phrases like "perplexity environments", "perplexity staging", "perplexity dev prod", "perplexity environment setup", "perplexity config by env".

Install

mkdir -p .claude/skills/perplexity-multi-env-setup && curl -L -o skill.zip "https://mcp.directory/api/skills/download/2755" && unzip -o skill.zip -d .claude/skills/perplexity-multi-env-setup && rm skill.zip

Installs to .claude/skills/perplexity-multi-env-setup

About this skill

Perplexity Multi-Environment Setup

Overview

Perplexity's OpenAI-compatible API uses the base URL https://api.perplexity.ai. The key per-environment configuration decisions are model selection and request limits.

Prerequisites

  • Perplexity API key from perplexity.ai/settings/api
  • OpenAI-compatible client library (openai npm package or equivalent)
  • Understanding of Sonar model tiers and their cost tradeoffs

Environment Strategy

EnvironmentModelCost/1K requestsRate LimitKey Source
Developmentsonar~$15 RPM (free tier).env.local
Stagingsonar~$15-20 RPMCI/CD secrets
Productionsonar-pro (deep), sonar (quick)$1-$550+ RPMSecret manager

Instructions

Step 1: Configuration Structure

config/
  perplexity/
    base.ts           # OpenAI client pointing to Perplexity
    development.ts    # Dev: sonar model, low rate limit
    staging.ts        # Staging: sonar model, moderate limits
    production.ts     # Prod: sonar-pro for deep queries, sonar for quick
    index.ts          # Environment resolver + model router

Step 2: Base Configuration with OpenAI SDK

// config/perplexity/base.ts
import OpenAI from "openai";

export const PERPLEXITY_BASE_URL = "https://api.perplexity.ai";

export function createPerplexityClient(apiKey: string): OpenAI {
  return new OpenAI({
    apiKey,
    baseURL: PERPLEXITY_BASE_URL,
  });
}

Step 3: Environment-Specific Configs

// config/perplexity/development.ts
export const devConfig = {
  apiKey: process.env.PERPLEXITY_API_KEY!,
  defaultModel: "sonar",          // always use cheapest model in dev
  deepModel: "sonar",             // no sonar-pro in dev (cost)
  maxTokens: 512,  # 512 bytes
  maxConcurrentRequests: 1,       // stay within free tier 5 RPM
};

// config/perplexity/staging.ts
export const stagingConfig = {
  apiKey: process.env.PERPLEXITY_API_KEY_STAGING!,
  defaultModel: "sonar",
  deepModel: "sonar",             // keep sonar in staging to test cost behavior
  maxTokens: 1024,  # 1024: 1 KB
  maxConcurrentRequests: 2,
};

// config/perplexity/production.ts
export const productionConfig = {
  apiKey: process.env.PERPLEXITY_API_KEY_PROD!,
  defaultModel: "sonar",          // fast queries use sonar
  deepModel: "sonar-pro",         // research queries use sonar-pro
  maxTokens: 4096,  # 4096: 4 KB
  maxConcurrentRequests: 10,
};

Step 4: Environment Resolver with Model Router

// config/perplexity/index.ts
import { createPerplexityClient } from "./base";

type SearchDepth = "quick" | "deep";

export function getPerplexityConfig() {
  const env = process.env.NODE_ENV || "development";
  const configs = { development: devConfig, staging: stagingConfig, production: productionConfig };
  const config = configs[env as keyof typeof configs] || devConfig;

  if (!config.apiKey) {
    throw new Error(`PERPLEXITY_API_KEY not set for ${env}`);
  }

  return config;
}

export function getPerplexityClient() {
  const cfg = getPerplexityConfig();
  return createPerplexityClient(cfg.apiKey);
}

export function getModelForDepth(depth: SearchDepth): string {
  const cfg = getPerplexityConfig();
  return depth === "deep" ? cfg.deepModel : cfg.defaultModel;
}

Step 5: Usage with Environment-Aware Model Selection

// lib/search.ts
import { getPerplexityClient, getModelForDepth } from "../config/perplexity";

export async function search(query: string, depth: "quick" | "deep" = "quick") {
  const client = getPerplexityClient();
  const model = getModelForDepth(depth);

  const result = await client.chat.completions.create({
    model,
    messages: [
      { role: "system", content: "Provide accurate, well-sourced answers." },
      { role: "user", content: query },
    ],
    max_tokens: depth === "deep" ? 2048 : 512,  # 512: 2048: 2 KB
  });

  return {
    answer: result.choices[0].message.content,
    model,
    usage: result.usage,
  };
}

Error Handling

IssueCauseSolution
401 UnauthorizedWrong API key for environmentVerify PERPLEXITY_API_KEY in .env.local
429 Too Many RequestsExceeding 5 RPM on free tierAdd request queuing or upgrade to paid plan
sonar-pro errors in stagingConfig sending deep queries to sonar-proSet deepModel: "sonar" in staging config
High costs in devUsing sonar-pro accidentallyHardcode defaultModel: "sonar" in dev config

Examples

Verify Which Model Is Active Per Environment

import { getModelForDepth, getPerplexityConfig } from "./config/perplexity";

const cfg = getPerplexityConfig();
console.log(`Default model: ${cfg.defaultModel}`);
console.log(`Deep search model: ${cfg.deepModel}`);
console.log(`Max concurrent: ${cfg.maxConcurrentRequests}`);

Cost Estimate Before Production Deploy

# Estimate cost: 10K quick queries/day at $1/1K = $10/day
# Estimate cost: 1K deep queries/day at $5/1K = $5/day
echo "Estimated daily cost: $15"

Resources

Next Steps

For deployment configuration, see perplexity-deploy-integration.

Output

  • Configuration files or code changes applied to the project
  • Validation report confirming correct implementation
  • Summary of changes made and their rationale

svg-icon-generator

jeremylongshore

Svg Icon Generator - Auto-activating skill for Visual Content. Triggers on: svg icon generator, svg icon generator Part of the Visual Content skill category.

6814

d2-diagram-creator

jeremylongshore

D2 Diagram Creator - Auto-activating skill for Visual Content. Triggers on: d2 diagram creator, d2 diagram creator Part of the Visual Content skill category.

2412

performing-penetration-testing

jeremylongshore

This skill enables automated penetration testing of web applications. It uses the penetration-tester plugin to identify vulnerabilities, including OWASP Top 10 threats, and suggests exploitation techniques. Use this skill when the user requests a "penetration test", "pentest", "vulnerability assessment", or asks to "exploit" a web application. It provides comprehensive reporting on identified security flaws.

379

designing-database-schemas

jeremylongshore

Design and visualize efficient database schemas, normalize data, map relationships, and generate ERD diagrams and SQL statements.

978

performing-security-audits

jeremylongshore

This skill allows Claude to conduct comprehensive security audits of code, infrastructure, and configurations. It leverages various tools within the security-pro-pack plugin, including vulnerability scanning, compliance checking, cryptography review, and infrastructure security analysis. Use this skill when a user requests a "security audit," "vulnerability assessment," "compliance review," or any task involving identifying and mitigating security risks. It helps to ensure code and systems adhere to security best practices and compliance standards.

86

django-view-generator

jeremylongshore

Generate django view generator operations. Auto-activating skill for Backend Development. Triggers on: django view generator, django view generator Part of the Backend Development skill category. Use when working with django view generator functionality. Trigger with phrases like "django view generator", "django generator", "django".

15

You might also like

flutter-development

aj-geddes

Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.

643969

drawio-diagrams-enhanced

jgtolentino

Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.

591705

ui-ux-pro-max

nextlevelbuilder

"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."

318398

godot

bfollington

This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.

339397

nano-banana-pro

garg-aayush

Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.

451339

fastapi-templates

wshobson

Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

304231

Stay ahead of the MCP ecosystem

Get weekly updates on new skills and servers.