co-mono/packages/ai/CHANGELOG.md

Changelog

[Unreleased]

[0.22.3] - 2025-12-16

Added

• Image limits test suite: Added comprehensive tests for provider-specific image limitations (max images, max size, max dimensions). Discovered actual limits: Anthropic (100 images, 5MB, 8000px), OpenAI (500 images, ≥25MB), Gemini (~2500 images, ≥40MB), Mistral (8 images, ~15MB), OpenRouter (~40 images context-limited, ~15MB). (#120)

• Tool result streaming: Added tool_execution_update event and optional onUpdate callback to AgentTool.execute() for streaming tool output during execution. Tools can now emit partial results (e.g., bash stdout) that are forwarded to subscribers. (#44)

• X-Initiator header for GitHub Copilot: Added X-Initiator header handling for GitHub Copilot provider to ensure correct call accounting (agent calls are not deducted from quota). Sets initiator based on last message role. (#200 by @kim0)

Changed

• Normalized tool_execution_end result: tool_execution_end event now always contains AgentToolResult (no longer AgentToolResult | string). Errors are wrapped in the standard result format.

Fixed

• Reasoning disabled by default: When reasoning option is not specified, thinking is now explicitly disabled for all providers. Previously, some providers like Gemini with "dynamic thinking" would use their default (thinking ON), causing unexpected token usage. This was the original intended behavior. (#180 by @markusylisiurunen)

[0.22.2] - 2025-12-15

Added

• Interleaved thinking for Anthropic: Added interleavedThinking option to AnthropicOptions. When enabled, Claude 4 models can think between tool calls and reason after receiving tool results. Enabled by default (no extra token cost, just unlocks the capability). Set interleavedThinking: false to disable.

[0.22.1] - 2025-12-15

Dedicated to Peter's shoulder (@steipete)

Added

• Interleaved thinking for Anthropic: Enabled interleaved thinking in the Anthropic provider, allowing Claude models to output thinking blocks interspersed with text responses.

[0.22.0] - 2025-12-15

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)

Fixed

• GitHub Copilot gpt-5 models: Fixed API selection for gpt-5 models to use openai-responses instead of openai-completions (gpt-5 models are not accessible via completions endpoint)

• GitHub Copilot cross-model context handoff: Fixed context handoff failing when switching between GitHub Copilot models using different APIs (e.g., gpt-5 to claude-sonnet-4). Tool call IDs from OpenAI Responses API were incompatible with other models. (#198)

• 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.