I Built an AI Resume Tailor in 50 Lines of Python (Using the Cheapest LLM API)

Inspired by launchway — an AI-powered job application CLI that's been trending on PyPI — I built a minimal resume tailoring agent in 50 lines of Python. The key insight: NexaAPI's pricing makes autonomous agents economically viable at scale. The Code (50 lines) from openai import OpenAI # NexaAPI is OpenAI-compatible — drop-in replacement client = OpenAI ( api_key = " YOUR_NEXAAPI_KEY " , base_url = " https://nexaapi.com/v1 " ) MASTER_RESUME = """ John Doe | Python Developer Skills: Python, FastAPI, PostgreSQL, Docker, AWS Experience: 4 years backend development at fintech startup Projects: Built payment API handling 10k TPS, ML pipeline for fraud detection """ def tailor_resume ( job_description : str ) -> str : response = client . chat . completions . create ( model = " llama-3-70b-instruct " , messages = [ { " role " : " system " , " content " : " Rewrite the resume to match this job. Keep truthful. Output clean markdown. " }, { " role " : " user " , " content " : f " Resume: \n { M