claude-apilisted

# Building LLM-Powered Applications with Claude Choose the right surface, detect the project language, read the relevant docs. ## What You Get - Language-detected SDK examples (Python, TypeScript, Go, Elixir, Rust, Lua, cURL) - Decision tree: single call vs workflow vs agent vs Agent SDK - Current model IDs, thinking/effort config, caching patterns - Tool use patterns (tool runner, manual loop, code execution) - Error taxonomy and live documentation URLs ## Top Pitfalls (quick reference) | Mistake | Fix | | ----------------------------------------------- | ---------------------------------------------------------------------------------------- | | Using `budget_tokens` on Opus 4.6 / Sonnet 4.6 | Use `thinking: {type: "adaptive"}` -- budget_tokens is deprecated | | Lowballing `max_tokens` | Default ~16K non-streaming, ~64K streaming. Truncation = wasted retry | | Prefilling assistant message on Opus 4.6 | Returns 400. Use structured outputs or system prompt instead | | Silent cache invalidation | Check `usage.cache_read_input_tokens`. Common culprit: `datetime.now()` in system prompt | | Redefining SDK types | Use `Anthropic.MessageParam`, `Anthropic.Tool`, etc. -- don't roll your own |