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Lance Martin b29e7cf65e Update claude-api skill: Claude Opus 5 (#1476)
* Update claude-api skill: Claude Opus 5

- Add Claude Opus 5 (`claude-opus-5`) as the default model across all
  SDK examples, model tables, pricing, and migration guidance.
- Add an Opus 5 migration section covering the API changes that come
  with it, and move Opus 4.8 into the previous-generation slot.
- Drop the Opus 4.7 fast-mode guidance, which no longer applies.
- Scope the server-side fallbacks beta header to the current version.

* Update claude-api skill: Opus 5 fast-follow corrections

- Server-side refusal fallbacks are available on Claude Platform on AWS,
  not just the Claude API. Correct the availability statements in
  SKILL.md, the migration guide, and the platform-availability table.
- Simplify the effort guidance: start at `high` (the API default) and
  sweep down, rather than starting at `xhigh` for coding work.
- Add a time-to-first-token section with the prompt instruction that
  reduces pre-answer thinking on latency-sensitive routes.
- Replace the two separate thinking-disabled mitigations with the single
  combined instruction that covers both failure modes.
2026-07-24 16:12:34 -04:00

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# Token Counting
Use the `count_tokens` endpoint (`POST /v1/messages/count_tokens`) for accurate
token counts against Claude models. Token counts are **model-specific** — pass
the same model ID you'll use for inference.
**Do not use `tiktoken`.** It's OpenAI's tokenizer. It undercounts Claude
tokens by ~1520% on typical text, and by much more on code or non-English
input. Any estimate from `tiktoken`, `gpt-tokenizer`, or similar is wrong for
Claude.
## Count a file or string
```python
from anthropic import Anthropic
client = Anthropic()
resp = client.messages.count_tokens(
model="claude-opus-5",
messages=[{"role": "user", "content": open("CLAUDE.md").read()}],
)
print(resp.input_tokens)
```
TypeScript: `await client.messages.countTokens({model, messages})`
`.input_tokens`. See `{lang}/claude-api/README.md` for other SDKs.
## CLI
```sh
ant messages count-tokens --model claude-opus-5 \
--message '{role: user, content: "@./CLAUDE.md"}' \
--transform input_tokens -r
```
## Diffing a file across two versions
The endpoint is stateless — count each version separately and subtract:
```python
from anthropic import Anthropic
import subprocess
client = Anthropic()
def count(text: str) -> int:
return client.messages.count_tokens(
model="claude-opus-5",
messages=[{"role": "user", "content": text}],
).input_tokens
before = subprocess.check_output(["git", "show", "HEAD:CLAUDE.md"], text=True)
after = open("CLAUDE.md").read()
print(count(after) - count(before))
```
Full docs: see the Token Counting entry in `shared/live-sources.md`.