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…dels For OpenAI and OpenAI-compatible providers, display separate input and output token counts with their respective limits: ↑ 9k / 300k ↓ 1.4k / 100k This provides more granular visibility into token usage, showing: - Input tokens used / max input tokens (context - output limit) - Output tokens used / max output tokens Other providers continue to show the combined format: "used / max" Changes: - Add `supports_split_token_display()` to LanguageModel trait - Add `input_tokens` and `max_output_tokens` to acp_thread::TokenUsage - Implement split display for OpenAI, OpenAI-compatible, xAI, and cloud providers - Update thread_view to render split format with arrows Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
…dels For OpenAI and OpenAI-compatible providers, display separate input and output token counts with their respective limits: ↑ 9k / 300k ↓ 1.4k / 100k This provides more granular visibility into token usage, showing: - Input tokens used / max input tokens (context - output limit) - Output tokens used / max output tokens Other providers continue to show the combined format: "used / max" Changes: - Add `supports_split_token_display()` to LanguageModel trait - Add `input_tokens` to acp_thread::TokenUsage - Implement split display for OpenAI, OpenAI-compatible, xAI, and cloud providers - Update thread_view to render split format with arrows Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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This feature cost $15.
Up -> Tokens we're sending to the model (input tokens)
Down -> Tokens we've received from the model (output tokens)
Release Notes: