- Fixed handling of aborted requests to properly throw abort errors when stream terminates without a terminal event.
- Fixed exit error handling in ChildProcess.wait() to properly capture exit reasons and non-zero exit codes.
- Fixed stdout text conversion in ChildProcess.wait() to use Response API for proper text decoding.
- Refactored SSE stream parsing to use generic `readSseJson` utility instead of domain-specific handlers across multiple packages.
- Migrated from Node.js Buffer API to Web standard APIs (Uint8Array, TextDecoder, DataView) for cross-platform compatibility.
- Simplified stream transformation pipeline by consolidating multiple stream operations into unified `createTextLineSplitter` utility.
- Refactored `ptree.ts` to remove complex stream pumping infrastructure and simplify stderr handling with direct async iteration.
- Rewrote stream utilities to operate at binary level with byte-level parsing for improved efficiency and reduced string allocations.
- Updated TypeScript configuration to include DOM.AsyncIterable type definitions for async iterable DOM API support.
- Added default generic type parameter to Model interface, allowing Model to be used without explicit type argument.
- Removed explicit <any> generic type parameters from Model type annotations throughout codebase, leveraging new default parameter.
- Migrated from Node.js to Bun runtime by replacing @types/node with @types/bun and bun-types dependencies.
- Downgraded @types/diff from ^8.0.0 to ^7.0.2 in coding-agent package.
- Updated tsconfig.base.json to include DOM.AsyncIterable in lib configuration for async iterable DOM API support.
- Simplified stream handling in update-cli.ts by removing Readable.fromWeb() conversions and using response.body directly with pipeline().
- Simplified TextDecoderStream instantiation in stream.ts to use default parameters instead of explicit UTF-8 encoding configuration.
- Added defensive null/undefined handling in agent-loop.ts result assignment using nullish coalescing operator.
- Added `concurrency` option to `AgentTool` interface supporting 'shared' (default, parallel execution) and 'exclusive' (solo execution) modes.
- Implemented parallel execution of shared tools within a single agent turn with ordered result emission.
- Refactored tool execution to support concurrent scheduling with interrupt handling via steering messages and AbortSignal.
- Added steering message checking mechanism that interrupts tool execution when user messages arrive during tool processing.
- Removed HTTP proxy setup code from stream.ts that was conditionally setting up undici global dispatcher.
- Added Kimi Code provider with support for both OpenAI and Anthropic API formats.
- Added kimiApiFormat configuration option to allow users to select between 'openai' and 'anthropic' API formats for Kimi Code provider.
- Added Kimi API format setting in the tools configuration tab with descriptions for each format option.
- Refactored Anthropic provider authentication logic to support multiple API endpoints including Kimi's Anthropic-compatible API.
- Updated OpenAI completions provider to route direct Kimi models to dedicated Kimi provider implementation.
- 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.
- 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.
- 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.
- Added nonAbortable option to AgentTool interface for ignoring abort signals during tool execution.
- Added isolated option to task tool for running tasks in isolated git worktrees.
- Simplified tool parameter descriptions across all coding-agent tools for better readability.
- Updated find tool to always sort results by modification time and removed sortByMtime parameter.
- Changed web-fetch timeout default from 20s to 45s maximum and updated bash prompt to use cwd parameter.
- Removed model parameter from task and gemini-image tools to use session/provider defaults.
- Added Cursor OAuth provider support to CLI authentication flow.
- Fixed race conditions in OAuth callback handling and session picker cleanup.
- Improved JWT token parsing and error handling across OAuth providers.
- Replaced Bun.sleep() with abortable sleep for proper cancellation support.
- Enhanced process execution with concurrent stream reading and better timeout handling.
- Added cache cleanup mechanism for auth storage with 5-minute intervals.
- Created new @oh-my-pi/pi-utils workspace package with shared utilities for logging, process management, stream handling, and temporary directory management.
- Migrated all packages to use centralized logger from @oh-my-pi/pi-utils instead of local winston implementations.
- Replaced custom process spawning and stream reading implementations with standardized cspawn and readLines utilities across all modules.
- Converted synchronous file operations and process spawning to async patterns using Bun shell syntax and fs/promises.
- Added streaming edit abort functionality with configurable setting to abort on patch preview failures.
- Updated test framework from vitest to bun:test across all test suites.
- Reformatted code indentation and spacing across multiple TypeScript files.
- Standardized export statements to single-line format in various modules.
- Fixed async/await precedence and corrected indentation in benchmark files.
- Added benchmark report files for GPT-5.1-codex-mini model performance.
- Added normative patch generation for canonicalizing edit tool output.
- Implemented tool call argument rewriting for session history persistence.
- Enhanced patch applicator to support normalized patch input processing.
- Updated agent and AI types to include normative input parameters.
- Removed tar-stream dependency and replaced with Bun.Archive for benchmark package.
- Converted all tool implementations from factory functions to class-based architecture.
- Updated SDK exports to expose tool classes instead of create*Tool factory functions.
- Refactored tool instantiation patterns across all built-in tools and test files.
- Added proper TypeScript typing with AgentToolResult and AgentToolUpdateCallback interfaces.
- Added ToolCallContext interface with batch execution metadata including batchId, index, and total.
- Enhanced getToolContext() to accept optional ToolCallContext parameter for batch-aware tool execution.
- Implemented LSP batching support to coalesce formatting and diagnostics operations on parallel edits.
- Added comprehensive tests for tool call batch context and LSP writethrough batching functionality.
- Added proper tool result messages for tool calls that are aborted or error out.
- Ensured tool_use/tool_result pairing is maintained when tool execution fails.
- Fixed tool result ordering in Cursor mode by buffering results and emitting them at the correct position within assistant messages.
- Modified assistant message handling to split messages around tool results for improved readability when using Cursor tools.
- Added CursorToolResultEntry interface to track buffered tool results with text position metadata.
- Added _cursorToolResultBuffer private field to store tool results during streaming for correct ordering.
- Added _getAssistantTextLength helper method to calculate total text length from assistant message content blocks.
- Added _emitCursorSplitAssistantMessage method to split assistant messages around tool results and emit them in correct order.
- Added Cursor AI provider with HTTP/2 streaming support using Connect protocol and protobuf binary serialization.
- Added OAuth authentication flow for Cursor including browser-based login, token refresh, and expiry detection.
- Added 14 Cursor model definitions including Claude 4.5, GPT 5.x, Gemini 3, and Grok variants.
- Added execution bridge for Cursor tool calls supporting read, ls, grep, write, delete, shell, diagnostics, and MCP operations.
- Added cursorExecHandlers and cursorOnToolResult options to Agent for local tool execution with cursor-based streaming.
- Added emitExternalEvent method to Agent class for external event injection into agent state.
- Port pi-ai from upstream with Bun-first approach (source files, no dist)
- Add cli_ prefix to tool names in OAuth mode to avoid collisions
- Improve beta header handling with proper deduplication
- Convert codex-instructions.md to Bun text embed
- Strip .js extensions from all imports
- Added environment variable management via settings.json with applyEnvironmentVariables() and related methods.
- Enhanced file mentions to support directories, validate boundaries, and truncate large files.
- Added fallback model candidate logic in title generator to retry on model failures.
- Fixed bash output preview to minify JSON content and skip structural-only lines.
- Added Cerebras provider support with thinking block filtering and zai-glm-4.6 model priority.
- Refactored tree rendering to use consistent theme.tree properties instead of boxSharp.
- Changed isError property from required to optional across ToolResultMessage and tool event interfaces.
- Added SpinnerType variants with distinct animation frames per symbol preset.
- Fixed spinner animation crash when frames array is empty by adding guard clause.
- Refactored agent-loop tool execution to consolidate toolCallId, toolName, and isError into details object.
- Added Time Traveling Streamed Rules (TTSR) feature for real-time pattern matching and rule injection during streaming.
- Added TtsrManager with configurable settings for context mode, repeat mode, and repeat gap.
- Added TTSR trigger support across all rule discovery sources (builtin, cline, cursor, windsurf).
- Added abort signal handling in agent loop to support stream interruption for TTSR.
- Added TtsrNotificationComponent for displaying rule violation notifications in interactive mode.
- Added hidden property for custom tools to exclude them from default tool list unless explicitly requested.
- Added explicitTools option to createAgentSession for enabling hidden tools by name.
- Added example review tools (report_finding, submit_review) with structured findings accumulation and verdict rendering.
- Added /review command for interactive code review with branch comparison, uncommitted changes, and commit review modes.
- Updated bundled reviewer agent to use structured review tools with priority-based findings (P0-P3) and formal verdict submission.
- Added interruptMode option to control when queued messages interrupt tool execution.
- Implemented "immediate" mode (default) to check queue after each tool and interrupt remaining tools.
- Implemented "wait" mode to defer queue processing until the entire turn completes.
- Exposed interruptMode configuration in interactive settings UI with immediate/wait options.
- Wired interrupt mode through AgentSession and SDK to enable runtime configuration and persistence.
- Renamed npm package scope from @mariozechner to @oh-my-pi across all packages for consistent branding.
- Removed packages/pods directory and all related pod management functionality.
- Updated import paths and module declarations throughout codebase to reflect new package names.
- Reformatted code with consistent trailing comma removal and ternary operator alignment.
- Added MCP (Model Context Protocol) support with stdio and HTTP transports for external tool integration.
- Implemented plugin system with install, enable, configure, and doctor commands for extensibility.
- Added 22 Exa MCP tools for web search, LinkedIn, company research, and websets operations.
- Introduced LSP tool with rust-analyzer support for code intelligence (diagnostics, hover, references, code actions).
- Added task tool for delegating work to specialized subagents with parallel execution support.
- Implemented web_search and web_fetch tools with Anthropic and Perplexity provider support.
Merged 53 commits from pi/main including:
- Export HTML rewrite with tree sidebar and /share command
- Hooks API enhancements (custom status, editor, session management)
- Edit diff preview before tool execution
- TUI fixes (Unicode format chars, OSC 8 hyperlinks, emoji optimization)
- Gemini CLI rate limit retry with server-provided delay
- Various bug fixes and documentation updates
Resolved conflicts by preserving Bun migration (spawn→Bun.spawn,
fs→Bun.file) while accepting upstream's new features and APIs.
- Migrated from Node.js to Bun runtime to leverage native TypeScript execution and faster startup times.
- Replaced npm with bun package manager and updated lockfile format.
- Converted Node.js APIs (child_process, fs, readline) to Bun equivalents across all packages.
- Updated shebang lines from node/tsx to bun for CLI entry points.
- Removed TypeScript build step by using source files directly as package entry points.
- Updated CI workflows to use Bun instead of Node.js for installation and testing.
- agentLoop now accepts AgentMessage[] instead of single message
- agent.prompt() accepts AgentMessage | AgentMessage[]
- Emits message_start/end for each message in the array
- AgentSession.prompt() builds array with hook message + user message
- TUI now receives events for before_agent_start injected messages
- StreamFn type now allows returning Promise
- agent-loop awaits streamFn result
- createStreamFn takes getProxyUrl callback, reads settings on each call
- Removed Attachment from agent package (now in web-ui/coding-agent)
- Agent.prompt now takes (text, images?: ImageContent[])
- Removed transports from web-ui (duplicate of agent package)
- Updated coding-agent to use local message types
- Updated mom package for new agent API
Remaining: Fix AgentInterface.ts to compose UserMessageWithAttachments
- Renamed AppMessage to AgentMessage throughout
- New agent-loop.ts with AgentLoopContext, AgentLoopConfig
- Removed transport abstraction, Agent now takes streamFn directly
- Extracted streamProxy to proxy.ts utility
- Removed agent-loop from pi-ai (now in agent package)
- Updated consumers (coding-agent, mom) for AgentMessage rename
- Tests updated but some consumers still need migration
Known issues:
- AgentTool, AgentToolResult not exported from pi-ai
- Attachment not exported from pi-agent-core
- ProviderTransport removed but still referenced
- messageTransformer -> convertToLlm migration incomplete
- CustomMessages declaration merging not working properly
HookMessage (role: hookMessage) was being passed directly to transport
without transformation. Now it's transformed via messageTransformer
which converts it to a proper user message for the LLM.
- Rename HookAppMessage to HookMessage, isHookAppMessage to isHookMessage
- Remove entries array from SessionContext (use isHookMessage type guard instead)
- HookMessage.content now accepts string directly (not just array)
- Fix streamMessage type in AgentState (AppMessage, not Message)
- Rename CustomMessageComponent to HookMessageComponent
- Fix test hook to use pi.sendMessage
- Change from contextTransform (runs once at agent start) to preprocessor
- preprocessor runs before EACH LLM call inside the agent loop
- ContextEvent now uses Message[] (pi-ai format) instead of AppMessage[]
- Deep copy handled by pi-ai preprocessor, not Agent
This enables:
- Pruning rules applied on every turn (not just agent start)
- /prune during long agent loop takes effect immediately
- Compaction can use same transforms (future work)
- Add contextTransform option to Agent (runs before messageTransformer)
- Deep copy messages before passing to contextTransform (modifications are ephemeral)
- Add ContextEvent and ContextEventResult types
- Add emitContext() to HookRunner (chains multiple handlers)
- Wire up in sdk.ts when creating Agent with hooks
Enables dynamic context pruning: hooks can modify messages sent to LLM
without changing session data. See discussion #330.
Cleans up the temporary emitLastMessage plumbing since we now use
Agent.prompt(AppMessage) for hook messages instead of appendMessage+continue.
- Remove emitLastMessage parameter from Agent.continue()
- Remove from transport interface and implementations
- Remove from agentLoopContinue()
Instead of using continue() which validates roles, prompt() now accepts
an AppMessage directly. This allows hook messages with role: 'hookMessage'
to trigger proper agent loop with message events.
- Add overloads: prompt(AppMessage) and prompt(string, attachments?)
- sendHookMessage uses prompt(appMessage) instead of appendMessage+continue
When calling continue() with emitLastMessage=true, the agent loop
emits message_start/message_end events for the last message in context.
This allows messages added outside the loop (e.g., hook messages via
sendHookMessage) to trigger proper TUI rendering.
Changes across packages:
- packages/ai: agentLoopContinue() accepts emitLastMessage parameter
- packages/agent: Agent.continue(), transports updated to pass flag
- packages/coding-agent: sendHookMessage passes true when triggerTurn
- Add XHIGH_MODELS constant and getAvailableThinkingLevels() to AgentSession
- Update ThinkingSelectorComponent to accept availableLevels parameter
- Both shift+tab cycling and /thinking command now show xhigh for supported models
- Update types.ts documentation to list supported models
can1357