Developer Builds Reusable LLM Wrapper to Eliminate Repetitive API Boilerplate

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A developer shared how they built a lightweight utility module to standardize and automate repetitive LLM API integration tasks across projects. The abstraction layer handles common pain points including API key loading, rate limit retries, response streaming, structured JSON parsing, and debug logging. The tool supports multiple providers such as Claude and GPT through a unified interface, and includes a batching system to process large datasets without triggering rate limits. Additional features include built-in caching, meaningful error messages, and automatic fallback responses when requests fail after retries. The developer published the setup on DEV Community to help others avoid repeatedly writing the same scaffolding code from scratch.

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