- Added Kimi Code provider integration with OAuth device authorization flow and token management.
- Added four new Kimi Code models (kimi-for-coding, kimi-k2, kimi-k2-turbo-preview, kimi-k2.5) with reasoning support and 262K context window.
- Added kimiUsageProvider for fetching and caching Kimi Code API usage quota information.
- Added kimi-code login command to CLI for OAuth authentication with Kimi Code.
- Updated openai-completions provider to support Kimi-specific headers and cached token formats.
- Updated MiniMax-M2 model pricing: input 1.2->0.6, output 1.2->3, cacheRead 0.6->0.1.
- Extracted tool choice mapping logic into dedicated utility module for provider-specific format conversions.
- Refactored task summary generation to use template-based rendering instead of string concatenation.
- Migrated system prompt generation to use Handlebars templates with structured data instead of hardcoded strings.
- Extracted JTD to TypeScript conversion logic into dedicated utility module for schema documentation.
- Consolidated prompt template rendering across multiple modules using unified renderPromptTemplate function.
- Simplified type assertions in stream module to use generic OptionsForApi type instead of provider-specific types.
- Added session compaction auto-continue feature that automatically sends a synthetic continuation prompt after compaction completes when enabled in settings.
- Added tool output pruning system that intelligently removes verbose tool outputs from session history during compaction to reduce token usage while preserving critical information.
- Added short summary generation for compaction results, providing concise PR-style summaries of conversation changes alongside full summaries.
- Added session.compacting extension hook that allows extensions to customize compaction prompts, add context, and preserve metadata during summarization.
- Added synthetic message support to mark system-injected messages (like auto-continue prompts) and prevent them from being persisted to editor history.
- Added ToolChoice type and toolChoice parameter support across all AI providers (OpenAI, Azure OpenAI, Anthropic, Google) enabling fine-grained control over tool/function selection during LLM calls.
- Added toolChoice override capability to Agent.prompt() method and session prompt options allowing callers to control tool selection behavior per request.
- Added provider-specific tool choice mapping functions (mapAnthropicToolChoice, mapGoogleToolChoice, mapOpenAiToolChoice) to normalize tool choice formats across different LLM APIs.
- Removed kernel heartbeat/ping mechanism from PythonKernel, simplifying health monitoring by relying on direct isAlive() checks instead of periodic HTTP requests.
Creates a new session file with the exact same state as the current session,
including all entries (messages, model changes, compactions, etc.) and
artifacts. The new session's parentSession field links to the original.
- Added fork() method to SessionManager that creates new session file with copied entries
- Added fork() method to AgentSession that handles artifact directory copying
- Added /fork command handler in input-controller and command-controller
- Extended session switch event reason type to include 'fork'
- Replaced external JSON/JSONL parsing libraries with Bun's built-in JSON5 and JSONL APIs across all packages.
- Removed dependencies: json5, ndjson, get-east-asian-width, json-stringify-safe, split2, through2, and @types/ndjson.
- Replaced custom text width and ANSI wrapping implementations with Bun.stringWidth() and Bun.wrapAnsi() APIs.
- Updated Bun type definitions from ^1.2.17 to ^1.2.18 and bun-types from ^1.3.5 to ^1.3.7.
- Refactored JSONL parsing throughout codebase to use Bun.JSONL.parse() and Bun.JSONL.parseChunk() with improved buffer management and error handling.
- Updated test assertions to use Bun.stringWidth() for dynamic width calculations instead of hardcoded values.
- Inline preloaded skill contents in system prompts and allow task-level skill selection.
- Record session init entries with system prompt, task, tools, and output schema.
- Fix session persistence to keep pre-assistant entries in subagent logs.
- Added model_usage table to persist most-recently-used model timestamps across sessions.
- Model selector now sorts fuzzy-matched results by usage recency.
- Schema version bumped to 3 for model_usage table.
- Removed unused currentModel field from ModelSelectorComponent.
- Plan mode provides structured workflow where agents propose plans for user approval before execution.
- Added plan:// internal URL protocol for accessing plan files and injecting plan-mode context into subagent prompts.
- Added plan mode toggle shortcut and paused status indicator in status line.
- Fixed plan reference injection to properly pass workflow state to plan-mode system prompts.
- Improved autocomplete fuzzy matching to support subsequence matching for skill suggestions.
- Removed Prettier configuration files (.prettierignore and .prettierrc) and migrated formatting to Biome.
- Updated Biome configuration from version 2.3.11 to 2.3.12 and changed arrowParentheses rule from 'always' to 'asNeeded'.
- Pinned @biomejs/biome dependency to exact version 2.3.12 in package.json and bun.lock.
- Applied consistent arrow function formatting across 489 files by removing unnecessary parentheses around single parameters.
- Removed blank lines after comment blocks and reorganized imports for consistency across the codebase.
- Changed loadCustomModels from async to sync using fs.readFileSync for immediate resolution.
- Updated discoverModels to return synchronously, removing await from main.ts, pipeline.ts, and commit index.ts.
- Migrated sdk.ts to use node:fs instead of node:fs/promises for synchronous operations.
- Refactored scanDirectoryForSkills to use recursive traversal instead of batch Promise.all.
- Added tarball Dockerfile for testing npm publish/install flow with verdaccio registry.
- Converted readdirSync, readFileSync, and statSync to async readdir, readFile, stat across skills and agent discovery.
- Made scanDirectoryForSkills async and refactored custom directory scanning to use Promise.all for concurrent processing.
- Updated agent discovery to use fs/promises for async file reading and refactored helper patterns.
- Added AgentParsingError exception class for better error handling during agent parsing.
- Added filesystem error type guards (isEnoent, isEacces, isPerm, etc.) to pi-utils for safe error checking.
- Added color manipulation utilities to pi-utils for accessibility features.
- Added color-blind mode setting to settings manager.
- Migrated plugins, settings, and config modules from sync to async file operations.
- Updated error handling to use new pi-utils type guards for type-safe checking.
- Removed WASM generation script; use Bun `wasm?raw` loader for imports.
- Added bunfig.toml with loaders for `.md`, `.py`, and `.wasm?raw` text imports.
- Added types/assets/index.d.ts for global TypeScript module declarations.
- Unified TypeScript configuration with tsgo-based checking across monorepo.
- Removed build and WASM steps from install and publish pipelines.
- Added tsconfig.publish.json files to all packages with optimized publish-time configuration.
- Updated all package.json scripts with prepublishOnly hooks for correct type checking during publish.
- Added @oh-my-pi/omp-stats path mappings to root tsconfig.json for consistent imports.
- Added WASM generation script for photon module and integrated into install:dev script.
- Fixed indentation and line breaks in nested code blocks (lsp/render.ts, patch/shared.ts).
- Collapsed overlong function arguments and ternary expressions to standard line length.
- Reorganized import statements for consistency (ask.ts).
- Improved readability of conditional expressions (output-block.ts, web/search/render.ts, python.ts).
- Added retry utility functions `isRetryableError` and `extractHttpStatusFromError` to the @ai package for identifying transient errors suitable for retry operations.
- Made `AgentStorage.open()` asynchronous with exponential backoff retry logic to handle SQLITE_BUSY errors during concurrent database access.
- Refactored `AuthStorage` to use async factory pattern with `create()` method instead of synchronous constructor for proper async initialization.
- Added graceful error handling in terminal operations to exit cleanly when terminal becomes unavailable due to EIO errors instead of crashing.
- Added error handling during emergency terminal restore to prevent errors when terminal is already dead during crash cleanup.
- Settings now stored in ~/.omp/agent/config.yaml instead of agent.db
- Models config now supports models.yaml (preferred) alongside models.json
- Auto-migration from agent.db settings and models.json on first run
- AgentStorage.saveSettings() deprecated (getSettings() kept for migration)
- storage-migration.ts now only handles auth.json migration
- Added AgentOutputManager to allocate unique IDs for agent outputs across task invocations, preventing artifact collisions.
- Implemented automatic ID scanning in ArtifactManager to resume sessions without overwriting existing artifacts.
- Integrated AgentOutputManager into task processing to allocate unique IDs before template rendering.
- Added agentOutputManager property to ToolSession interface for managing unique agent:// IDs across task invocations.
- Fixed file descriptor leak in OutputSink when write fails
- Fixed isError flag not propagating to UI for grouped tool calls
- Fixed Python streaming updates during cell execution (missing onChunk)
- Fixed ls icon detection broken by age suffix in entry names
- Added Tool Output Infrastructure section to DEVELOPMENT.md
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