
AI-Powered Backend API — LLM Endpoint for Your Application
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3 days
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What you get with this Offer
I will build a backend API service exposing your AI capability — covering FastAPI or Express endpoint development, LLM integration with your specified provider, request validation and rate limiting, response caching where appropriate, and API documentation — giving your frontend or downstream systems a clean, reliable interface to the AI functionality. An AI backend API built with proper input validation, rate limiting, and error handling is significantly more reliable in production than calling the LLM provider directly from frontend code — and it keeps your API keys secure, your prompt engineering centralised, and your cost monitoring controllable.
The API covers FastAPI (Python) or Express (Node.js) endpoint implementation, LLM provider integration (OpenAI, Anthropic, or your choice), request validation and structured error responses, rate limiting per user or API key, response caching for repeated queries where appropriate, and Swagger/OpenAPI documentation.
Designed for development teams building an AI-powered product who need a clean, production-ready backend layer for their AI functionality rather than ad hoc LLM calls scattered through their codebase.
The API covers FastAPI (Python) or Express (Node.js) endpoint implementation, LLM provider integration (OpenAI, Anthropic, or your choice), request validation and structured error responses, rate limiting per user or API key, response caching for repeated queries where appropriate, and Swagger/OpenAPI documentation.
Designed for development teams building an AI-powered product who need a clean, production-ready backend layer for their AI functionality rather than ad hoc LLM calls scattered through their codebase.
What the Freelancer needs to start the work
Please describe the AI capability your API should expose, your preferred backend language (Python or Node.js), your LLM provider, your expected request volume, and your authentication requirements.
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