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b9463e32c6
Port from cline/cline#10266. When OpenAI-compatible proxies (OpenRouter, Vercel AI Gateway, Cline) route Claude models, they sometimes surface the Anthropic-native cache counters (`cache_read_input_tokens`, `cache_creation_input_tokens`) at the top level of the `usage` object instead of nesting them inside `prompt_tokens_details`. Our chat-completions branch of `normalize_usage()` only read the nested `prompt_tokens_details` fields, so those responses: - reported `cache_write_tokens = 0` even when the model actually did a prompt-cache write, - reported only some of the cache-read tokens when the proxy exposed them top-level only, - overstated `input_tokens` by the missed cache-write amount, which in turn made cost estimation and the status-bar cache-hit percentage wrong for Claude traffic going through these gateways. Now the chat-completions branch tries the OpenAI-standard `prompt_tokens_details` first and falls back to the top-level Anthropic-shape fields only if the nested values are absent/zero. The Anthropic and Codex Responses branches are unchanged. Regression guards added for three shapes: top-level write + nested read, top-level-only, and both-present (nested wins).