co-mono/packages/ai/CHANGELOG.md

Changelog

[Unreleased]

Added

• GitHub Copilot provider: Added github-copilot as a known provider with models sourced from models.dev. Includes Claude, GPT, Gemini, Grok, and other models available through GitHub Copilot. (#191 by @cau1k)

• Gemini 3 Pro thinking levels: Thinking level configuration now works correctly for Gemini 3 Pro models. Previously all levels mapped to -1 (minimal thinking). Now LOW/MEDIUM/HIGH properly control test-time computation. (#176 by @markusylisiurunen)

[0.18.2] - 2025-12-11

Changed

• Anthropic SDK retries disabled: Set maxRetries: 0 on Anthropic client to allow application-level retry handling. The SDK's built-in retries were interfering with coding-agent's retry logic. (#157)

[0.18.1] - 2025-12-10

Added

• Mistral provider: Added support for Mistral AI models via the OpenAI-compatible API. Includes automatic handling of Mistral-specific requirements (tool call ID format). Set MISTRAL_API_KEY environment variable to use.

Fixed

• Fixed Mistral 400 errors after aborted assistant messages by skipping empty assistant messages (no content, no tool calls) (#165)

• Removed synthetic assistant bridge message after tool results for Mistral (no longer required as of Dec 2025) (#165)

• Fixed bug where ANTHROPIC_API_KEY environment variable was deleted globally after first OAuth token usage, causing subsequent prompts to fail (#164)

[0.17.0] - 2025-12-09

Added

• agentLoopContinue function: Continue an agent loop from existing context without adding a new user message. Validates that the last message is user or toolResult. Useful for retry after context overflow or resuming from manually-added tool results.

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.