AIDotNet/OpenCowork 0.9.120 on GitHub

[0.9.120] - 2026-06-23

Added

Added request timing metrics (TTFT, TPS) display in InputArea for real-time performance monitoring.
Added cache shape debugging information in AssistantMessage showing system hash, tools hash, message prefix hash, tool count, and cache read ratio.
Added new models to Routin AI provider: Kimi K2.7 Code HighSpeed, MiMo V2.5 Pro, MiMo V2.5 with thinking support.
Added getCacheCreationTokens and getUsageCacheHitRate utility functions for improved token usage tracking.
Added calculateCacheReadRatio function for cache analytics and debugging.
Added RequestTiming type support for detailed request performance metrics.
Added Volcengine (火山引擎) provider preset with Doubao Seed 2.1 Pro/Turbo models supporting vision, function calling, and thinking.
Added Doubao Seed Evolving, Seed 2.1 Pro (260628), and Seed 2.1 Turbo (260628) models to Routin AI provider.
Added sub-agent workspace protocol injection — sub-agents now automatically load project-level AGENTS.md as authoritative workspace context.
Added parallel tool calls prompt for sub-agents to maximize concurrent independent tool invocations.
Added sub-agent runtime cache policy with prompt cache key generation for OpenAI Responses WebSocket backend.
Added turn-context injection for plan mode sub-agent runs.
Added stable tool definition sorting (by name → description → schema) for deterministic cache keys.
Added cache-shape module with stable hash/serialize utilities for prompt cache debugging.
Added SmoothTokenNumber component with animated token counter transitions.
Added thinking content extraction and model avatar with breathing dots animation for streaming placeholder state.
Added model info hover card panel in model switcher showing provider, capabilities, and auto-routing target model.
Added toolUseOrderById index for sub-agent inline rendering decisions.
Added canRenderInlineSubAgentRun heuristic for multi-sub-agent message layout decisions.
Added resolveSubAgentProviderConfig with session-scoped provider resolution.

Changed

Refactored chat streaming placeholder from static "生成回复" to "Thinking.../正在思考中..." with per-model avatar and animated breathing dots.
Replaced model switcher plain label with hover card showing model name, provider, and capability tags for auto-routing clarity.
Deferred large Read tool result text rendering to lazy mount for performance.
Memoized MCP active tool computation to reduce store selector re-derivation.
Set pending assistant message timestamp to current time instead of epoch 0 for correct sort order.
Hidden file diff dialog close button to match interaction design.
Enhanced chat components (AssistantMessage, ToolCallCard, InputArea) with improved UI and performance.
Improved settings pages and analytics overview with better data visualization.
Updated Anthropic API integration with optimized cache control logic and cache target selection.
Improved MCP tools and agent runtime with better error handling and stability.
Enhanced internationalization (en/zh) with updated translations.
Updated Routin AI provider models with new pricing and thinking support configurations.
Various performance and stability improvements across the application.

Fixed

Fixed widget rendering logic in ToolCallCard with simplified state management.
Fixed cache hit rate calculations and token usage tracking.
Fixed various UI inconsistencies and improved component rendering.

Removed

Removed unused imports and properties (Loader2, Wrench icons) for cleaner codebase.
Removed redundant model thinking indicator properties for simplified component API.

Fixed

fix(mcp): expose connected MCP tools in chat for MCP-enabled sessions.
Fixed sub-agent inline rendering: background sub-agents now properly hidden and synchronous sub-agents rendered inline when no visible content sits between them.

Documentation

Added comprehensive Repository Guidelines (AGENTS.md) covering project structure, build commands, coding conventions, and commit guidelines.
Updated README.md and README.zh.md.