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Background: Tracking LLM cost on a per-user or per-task basis. |
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@mattt Does this make sense to you? |
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this would be great to have |
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@KotlinFactory any plans to support MLXLanguageModel also? |
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@noorbhatia Sure why not. But lets focus on getting this merged first. |
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Parses vLLM/OpenRouter chat-completions reasoning fields (reasoning_content, reasoning) and Responses API reasoning output items (reasoning_text / summary_text parts) into a new optional LanguageModelSession.Response.reasoning. Reasoning fields are decode-only and never re-encoded into upstream messages. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Summary
Testing
Notes