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37 lines
1.7 KiB
Markdown
37 lines
1.7 KiB
Markdown
# Changelog
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## [Unreleased]
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### Breaking Changes
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- Removed provider-level tool argument validation. Validation now happens in `agentLoop` via `executeToolCalls`, allowing models to retry on validation errors. For manual tool execution, use `validateToolCall(tools, toolCall)` or `validateToolArguments(tool, toolCall)`.
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### Added
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- Added `validateToolCall(tools, toolCall)` helper that finds the tool by name and validates arguments.
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## [0.13.0] - 2025-12-06
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### Breaking Changes
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- **Added `totalTokens` field to `Usage` type**: All code that constructs `Usage` objects must now include the `totalTokens` field. This field represents the total tokens processed by the LLM (input + output + cache). For OpenAI and Google, this uses native API values (`total_tokens`, `totalTokenCount`). For Anthropic, it's computed as `input + output + cacheRead + cacheWrite`.
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## [0.12.10] - 2025-12-04
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### Added
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- Added `gpt-5.1-codex-max` model support
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### Fixed
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- **OpenAI Token Counting**: Fixed `usage.input` to exclude cached tokens for OpenAI providers. Previously, `input` included cached tokens, causing double-counting when calculating total context size via `input + cacheRead`. Now `input` represents non-cached input tokens across all providers, making `input + output + cacheRead + cacheWrite` the correct formula for total context size.
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- **Fixed Claude Opus 4.5 cache pricing** (was 3x too expensive)
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- Corrected cache_read: $1.50 → $0.50 per MTok
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- Corrected cache_write: $18.75 → $6.25 per MTok
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- Added manual override in `scripts/generate-models.ts` until upstream fix is merged
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- Submitted PR to models.dev: https://github.com/sst/models.dev/pull/439
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## [0.9.4] - 2025-11-26
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Initial release with multi-provider LLM support.
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