Apis

When you’re building production systems that rely on LLM APIs, you quickly learn that “it works in development” doesn’t mean much. Rate limits hit at the worst times, APIs go down, and costs can spiral if you’re not careful. Here’s how to build integrations that actually survive the real world. The Problem with Naive Integrations Most tutorials show you something like this: 1 2 3 4 5 6 7 8 import anthropic client = anthropic.Anthropic() response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{"role": "user", "content": prompt}] ) This works great until: ...

How to integrate large language models into your applications — from basic API calls to production-ready patterns.