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ai-integrated-api-backend

Official

Build robust multi-provider AI backends.

Software Engineering#Django#multi-provider#fallbacks#prompt-management#LLM gateway#AI backend#region-routing
Authortwofourlabs
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill guides engineers to construct production-grade AI-integrated backends with seamless multi-provider support, intelligent fallbacks, region-aware routing, and robust prompt management. It enables integration with external data sources, per-session billing, and a secure internal LLM gateway.

Core Features & Use Cases

  • Multi-provider architecture with deterministic fallbacks across OpenAI, Anthropic, Gemini, Bedrock, Byteplus, and OpenRouter.
  • Region-based routing and multi-region Bedrock support to optimize latency and resilience.
  • Advanced prompt management using template-driven prompts, YAML-structured instructions, and variable substitution.
  • External API integration pipelines (weather, astrology, finance) with data transformation and caching.
  • Gateway pattern with JWT-authenticated internal LLM gateway and per-message billing support.
  • Security & authentication, token caching, and configuration-over-code principles.

Quick Start

  1. Create a Bot and a BotLLMConfig with an active provider, then define fallback chains and region metadata.
  2. Build prompts using the templating system and invoke the internal gateway to observe provider routing.
  3. Verify billing, caching, and session flow across a simple sample conversation.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ai-integrated-api-backend
Download link: https://github.com/twofourlabs/agent-docs/archive/main.zip#ai-integrated-api-backend

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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