Anthropic / claude-api
Why does generated Claude API code use models that do not exist?
Because model names change faster than any training snapshot.
What to remember
- Model identifiers are the most common concrete error in generated integration code.
- It covers the patterns around the call, including streaming, tool use and caching.
- Pricing changes. Treat any number in a skill as needing verification at the source.
- It is provider specific by design and does not apply to other APIs.
01What it changes in practice
Integration code fails first on identifiers and parameter shapes. Those are exactly the details that shift between releases, so they are also the details a model is most likely to get subtly wrong from memory.
The wider benefit is the patterns around the call. Prompt caching, streaming and tool use loops are easy to implement badly and expensive to leave that way.
02Where it disappoints
Any reference material can lag the API. Where money or limits are involved, confirm against the official documentation rather than the skill.
It also has nothing to say about the parts that actually determine quality, such as how you structure prompts and evaluate output.
Install and first run
- Install it from anthropics/skills under Apache 2.0.
- Load it before writing integration code, not after debugging a wrong model identifier.
- Verify pricing and limits against the official documentation before committing them to a budget.
Questions people actually ask
- What does it help with most?
- Getting model identifiers, parameters and call patterns right the first time.
- Can I trust the pricing figures?
- Verify them at the source. Pricing is the field most likely to be out of date in any cached reference.
- Does it help with other providers?
- No. It is specific to the Claude API and should not be applied elsewhere.
Sources
Machine readable versions of this page