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Field ID: <code>input_tokens_cache_write</code>

Description: The number of input tokens written to the prompt cache.

Not available yet. GitHub Copilot does not publish this measurement, so it is empty on every record you can query today. It is populated by Anthropic Claude and Cursor, which are coming soon.

The <code>Input tokens (cache write)</code> field counts tokens written into the prompt cache so later turns can reuse them. Writes cost more than ordinary input tokens and pay for themselves only if the cache is then read.

Judging whether caching is paying off: Compare cache writes against cache reads. Writes well above reads mean context is being cached and then discarded.

Session behaviour: A high write to read ratio usually points to many short sessions rather than sustained ones.

- Judging whether caching is paying off: Compare cache writes against cache reads. Writes well above reads mean context is being cached and then discarded.
- Session behaviour: A high write to read ratio usually points to many short sessions rather than sustained ones.

AI Usage > Input tokens (cache write)

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GitHub Copilot	N/A
Anthropic Claude (coming soon)	`tokens.cache_creation` on Claude Code records; the ephemeral cache creation counters on direct API traffic
Cursor (coming soon)	the sum of `tokenUsage.cacheWriteTokens` across the record's usage events
OpenAI Platform (coming soon)	N/A
OpenAI Codex (coming soon)	N/A

AI Usage > Input tokens (cache write)

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