Improve token count accuracy using Anthropic's API #44943
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This change addresses token count inaccuracy by using Anthropic's dedicated token counting API instead of GPT-4's tiktoken tokenizer. Changes: - Add count_tokens API support in anthropic crate - Update AnthropicModel to use API with tiktoken fallback - Add tokens_before_message helper for cached token baseline - Add comprehensive tests for token counting functionality The Anthropic API provides accurate token counts for Claude models, with tiktoken as fallback for network issues or cloud/copilot providers. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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HactarCE
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Closes #38533 <img width="807" height="425" alt="Screenshot 2025-12-16 at 2 32 21 PM" src="https://github.com/user-attachments/assets/6ebb915c-91d3-4158-a2b9-9fe17d301dd6" /> Release Notes: - Use up-to-date token counts from LLM responses when reporting tokens used per thread --------- Co-authored-by: Claude Haiku 4.5 <noreply@anthropic.com>
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) Closes zed-industries#38533 <img width="807" height="425" alt="Screenshot 2025-12-16 at 2 32 21 PM" src="https://github.com/user-attachments/assets/6ebb915c-91d3-4158-a2b9-9fe17d301dd6" /> Release Notes: - Use up-to-date token counts from LLM responses when reporting tokens used per thread --------- Co-authored-by: Claude Haiku 4.5 <noreply@anthropic.com>
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) Closes zed-industries#38533 <img width="807" height="425" alt="Screenshot 2025-12-16 at 2 32 21 PM" src="https://github.com/user-attachments/assets/6ebb915c-91d3-4158-a2b9-9fe17d301dd6" /> Release Notes: - Use up-to-date token counts from LLM responses when reporting tokens used per thread --------- Co-authored-by: Claude Haiku 4.5 <noreply@anthropic.com>
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Closes #38533
Release Notes: