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co-mono/packages/ai/CHANGELOG.md
Mario Zechner 00370cab39 Add xhigh thinking level for OpenAI codex-max models 
- Add 'xhigh' to ThinkingLevel type in ai and agent packages
- Map xhigh to reasoning_effort: 'max' for OpenAI providers
- Add thinkingXhigh color token to theme schema and built-in themes
- Show xhigh option only when using codex-max models
- Update CHANGELOG for both ai and coding-agent packages

closes #143
2025-12-08 21:12:54 +01:00

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Changelog

[Unreleased]

Breaking Changes

  • 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).

Added

  • Added validateToolCall(tools, toolCall) helper that finds the tool by name and validates arguments.

  • OpenAI compatibility overrides: Added compat field to Model for openai-completions API, allowing explicit configuration of provider quirks (supportsStore, supportsDeveloperRole, supportsReasoningEffort, maxTokensField). Falls back to URL-based detection if not set. Useful for LiteLLM, custom proxies, and other non-standard endpoints. (#133, thanks @fink-andreas for the initial idea and PR)

  • xhigh reasoning level: Added xhigh to ReasoningEffort type for OpenAI codex-max models. For non-OpenAI providers (Anthropic, Google), xhigh is automatically mapped to high. (#143)

Changed

  • Updated SDK versions: OpenAI SDK 5.21.0 → 6.10.0, Anthropic SDK 0.61.0 → 0.71.2, Google GenAI SDK 1.30.0 → 1.31.0

[0.13.0] - 2025-12-06

Breaking Changes

  • 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.

[0.12.10] - 2025-12-04

Added

  • Added gpt-5.1-codex-max model support

Fixed

  • 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.

  • Fixed Claude Opus 4.5 cache pricing (was 3x too expensive)

    • Corrected cache_read: $1.50 → $0.50 per MTok
    • Corrected cache_write: $18.75 → $6.25 per MTok
    • Added manual override in scripts/generate-models.ts until upstream fix is merged
    • Submitted PR to models.dev: https://github.com/sst/models.dev/pull/439

[0.9.4] - 2025-11-26

Initial release with multi-provider LLM support.