Replace flaky time-based heuristic (sleep + 500ms race) with a proper
ready-signal protocol. The RPC server now emits {"type":"ready"} on
stdout when initialized, and the client waits for that signal instead
of guessing based on timing.
Fixes CI failure where the process took longer than 600ms to reach
provider validation (due to auth discovery + model registry refresh),
causing start() to resolve even when the process was about to exit.
- Changed hashline format separator from pipe (|) to colon (:) for improved readability across all tools and output formats.
- Refactored hashline edit API with operation-based structure: renamed delete->rm, rename->mv, set->target/new_content, and added explicit op field for operation types.
- Updated hashline hash encoding from 4-character base36 to 2-character hexadecimal for more compact representation.
- Replaced anchor terminology with tags throughout hashline documentation and API for clearer semantics.
- Added support for resolving internal artifact:// URLs in grep tool to search backing files.
- Fixed grep tool to properly handle internal URL resolution with validation for missing backing files.
- Added comprehensive test suite covering artifact URL resolution, regex patterns, and error handling.
- Optimized CI matrix to conditionally include platform variants based on git tag presence.
- Redesigned hashline edit API with new operation names (set, set_range, insert) and structured body parameter accepting string arrays for multiline edits.
- Changed hashline reference format from LINE:HASH to LINE#ID throughout tools and documentation for improved clarity.
- Enhanced insert operation to support optional before/after anchors enabling flexible insertion positioning and boundary echo stripping.
- Made hashline autocorrect heuristics conditional on PI_HL_AUTOCORRECT environment variable for controlled behavior.
- Added benchmark reports for claude-haiku-4-5 and GPT-5.2-Codex models demonstrating hashline edit variant performance.
- Added provider failure detection and exponential backoff retry logic to handle authentication and authorization errors in benchmark tasks.
- Implemented HashlineMismatchError behavior in coding-agent to fail on stale hash references instead of silently relocating edits.
- Simplified hashline validation by removing automatic line relocation logic and hash tracking infrastructure.
- Added benchmark report for claude-sonnet-4-6 model showing 85% task success rate with detailed failure analysis and performance metrics.
- Reorganized import statements in openai-compat.ts for consistency.
- Consolidated multi-line ternary expression into single line in openai-compat.ts.
- Simplified AgentBusyError instantiation to use default message.
- Updated test assertion to check error type instead of message content.
Wire the existing TUI autocompleteMaxVisible plumbing into the
declarative settings system so it appears in /settings under the
Input tab. Users can pick from 3/5/7/10/15/20 items; the TUI editor
clamps to 3-20 regardless.
- Add autocompleteMaxVisible to SETTINGS_SCHEMA (number, default 5)
- Add OPTION_PROVIDERS entry for the submenu dropdown
- Handle runtime side-effect in selector-controller
- Set initial value from settings on editor construction
- Add tests for default, runtime, persistence, and config loading
- Added `--no-rules` CLI flag to coding-agent to disable rules discovery and loading.
- Added `rules` option to CreateAgentSessionOptions to allow custom rules configuration.
- Added `sessionDir` option to RpcClientOptions and implemented Symbol.dispose() for resource cleanup.
- Removed tarball-based task loading; migrated to directory-based fixtures with required inputDir and expectedDir properties.
- Refactored runner to use RpcClient resource management with `using` statement and simplified fixture handling.
- Consolidated type definitions and removed tarball.ts module in favor of streamlined task interface.
- Added TTSR injection tracking with per-turn recording and deduplication to prevent repeated rule injections within the same turn.
- Changed TTSR message format to use custom message type with metadata fields for improved injection tracking and session persistence.
- Fixed TTSR repeat-after-gap mode to correctly restore injected rules from previous sessions and recalculate gap thresholds.
- Added test suite with 6 test cases covering TTSR repeat modes (once, after-gap, restored) and injection deduplication behavior.
- Added ModelManager API with createModelManager() factory for managing bundled and dynamically discovered models with configurable refresh strategies.
- Exported discovery utilities for fetching models from Antigravity, Codex, Cursor, Gemini, and OpenAI-compatible endpoints with provider-specific model manager configuration helpers.
- Renamed public API functions for clarity: getModel() -> getBundledModel(), getModels() -> getBundledModels(), getProviders() -> getBundledProviders().
- Added on-disk model caching with TTL-based invalidation and resolveProviderModels() function for runtime model resolution with source precedence.
- Refactored model discovery script to dynamically fetch models from Codex, Cursor, and Antigravity using OAuth credentials instead of hardcoded lists.
- Added scoped TTSR rule matching with condition and scope fields supporting file globs and tool-specific filtering.
- Added ttsr.interruptMode setting to control when TTSR rules interrupt agent responses (never/prose-only/tool-only/always).
- Added support for loading rules, prompts, and commands from ~/.agent/ directory with fallback to ~/.agents/.
- Refactored rule discovery across all providers to use unified buildRuleFromMarkdown helper and per-stream-key buffering.
- Enhanced TTSR pattern matching to respect tool-specific scope filters and normalize file paths in glob matching.
- Changed context promotion to trigger on context overflow errors instead of a configurable threshold percentage.
- Removed the contextPromotion.thresholdPercent configuration setting.
- Updated context promotion to retry immediately on the promoted model without requiring compaction.
- Refactored context promotion logic to attempt promotion before compaction in the overflow handling flow.
- Updated agent session to merge context promotion checks into the compaction method for unified overflow handling.
- Updated tests to reflect overflow-based promotion triggering instead of threshold-based promotion.
- Added contextPromotionTarget model property to specify preferred fallback model when context promotion is triggered.
- Added automatic context promotion target assignment for Spark models to their base model equivalents.
- Updated Qwen model context window and max token limits for improved accuracy.
- Updated o1 model context window from 256000 to 262144 tokens and max tokens from 64000 to 65536 tokens.
- Implemented context promotion logic to use configured contextPromotionTarget when available instead of role-based model resolution.
- Added automatic context promotion feature that switches to larger-context models when approaching context limits.
- Added 'contextPromotion.enabled' setting to control automatic model promotion with default value of enabled.
- Added 'contextPromotion.thresholdPercent' setting to configure context usage threshold for triggering promotion with default value of 90%.
- Implemented context promotion logic in AgentSession that monitors token usage and automatically switches models when threshold is exceeded.
- Added provider session cleanup during model switches to properly handle session state transitions.
- Added comprehensive test coverage for context promotion functionality including threshold-based promotion and non-promotion scenarios.
- Fixes deferred `--model` resolution to match extension-provided models before fallback
- Fixes CLI `--api-key` handling to support deferred model selection
- Adds OAuth provider support for extensions with source-scoped registration cleanup
- Adds custom API registration helpers with built-in collision checks
- Expands `Api` type to support extension-defined identifiers
- Adds tests for runtime provider registration and model selection
- Added animated microphone icon with color cycling during voice recording and transcription states.
- Added support for discovering skills via symbolic links in the skills directory.
- Changed STT status messages to display via state change callbacks instead of dedicated status line segment.
- Removed dedicated STT status line segment in favor of animated cursor-based feedback.
- Added cursor override feature to TUI editor for customizing end-of-text cursor glyph with ANSI-styled strings.
Replace single `theme` setting with `theme.dark` and `theme.light`.
Auto-detection is always on — COLORFGBG determines which slot to use.
On SIGWINCH, re-check COLORFGBG and switch themes if background changed.
Old `theme` setting auto-migrated using luminance detection.
Fixes#65
- Added a DebugLogSource that reads dated log files and feeds the viewer from the debug selector.
- Made load-older handling asynchronous to fetch external chunks while preserving cursor and scroll state.
- Updated log viewer tests for the new options, external log sources, and async loading paths.
- Added pid filter toggle and load-older pagination controls to the debug log viewer.
- Introduced ctrl+o and enter shortcuts plus load-older row to page earlier logs while keeping the newest 50 visible.
- Adjusted cursor and selection to ignore non-log rows, allow select-all, and keep expansion anchored when rebuilding.
- Parsed pids from JSON log lines, read full log files for viewing, and covered pid filtering and pagination in tests.
- Added case-insensitive substring filtering with inline query entry and visible count line in the debug log viewer.
- Preserved cursor and selection when filters change and show a no matches placeholder with adjusted scroll bounds.
- Updated filter sanitization and frame layout, removing Kitty-specific help text and aligning status counters.
- Expanded tests to cover filtering, selection anchoring, copy payloads, and session boundary warnings.
- Replaced the log preview with an interactive viewer supporting navigation, selection, expansion, and clipboard copy.
- Added log formatting helpers to wrap multi-line entries and parse timestamps for session boundary detection.
- Covered viewer selection, copy payload sanitization, expanded formatting, and timestamp parsing with new tests.
- Sanitized debug log lines by stripping ANSI/control codes, replacing tabs, and truncating to terminal width.
- Added formatting helper and unit tests covering sanitization, tab handling, and truncation.
- Added `sanitizeText` function to pi-natives that strips ANSI escape sequences, removes control characters and lone surrogates, and normalizes line endings.
- Moved `sanitizeText` function from `@oh-my-pi/pi-utils` to `@oh-my-pi/pi-natives` for better code organization and native performance.
- Added line length clamping (4000 characters) to bash and Python execution output to prevent excessively long lines.
- Replaced internal `#normalizeOutput` methods with `sanitizeText` utility function in bash and Python execution components.
- Fixed bash interactive tool to gracefully handle malformed output chunks by normalizing them with `sanitizeText`.
- Simplified documentation by removing WASM terminology from package descriptions and comments.
- Modified memory storage to isolate memories by project working directory, preventing cross-project memory contamination.
- Added encodeProjectPath function to safely encode working directory paths for use in memory storage directory names.
- Updated getMemoryRoot function to accept cwd parameter and include encoded project path in memory directory structure.
- Updated clearMemoryData function signature to accept cwd parameter for project-specific memory cleanup.
- Updated test fixtures to use project-aware memory root paths.
- Added autonomous memory extraction and consolidation system with two-phase pipeline for extracting durable knowledge and consolidating into reusable skills.
- Added /memory slash command with subcommands (view, clear, reset, enqueue, rebuild) for inspecting and managing memory maintenance.
- Added configurable memory settings including concurrency limits, lease timeouts, token budgets, and rollout age constraints.
- Added memory injection payload that includes learned context in system prompts with operational rules for reading and using memory artifacts.
- Improved system prompt building to support memory guidance injection and enhanced error handling in resolvePromptInput function for multiline input.
- Added automatic retry logic for WebSocket stream closures before response completion with configurable retry budget.
- Changed `providers.openaiWebsockets` setting from boolean to enum with values 'auto', 'off', 'on' for more granular WebSocket policy control.
- Implemented WebSocket stream retry mechanism that attempts reconnection before falling back to SSE transport when retry budget is exhausted.
- Fixed WebSocket stream retry logic to properly handle mid-stream connection closures and preferWebsockets option handling.
- Added helper functions isCodexWebSocketTransportError() and isCodexWebSocketRetryableStreamError() to classify WebSocket errors.
- Reorganized imports across multiple files for better code organization and consistency.
- Added WebSocket transport support for OpenAI Codex responses with automatic fallback to SSE on connection failure.
- Added preferWebsockets option to Agent and Model configurations to hint that WebSocket transport should be preferred when supported by provider implementations.
- Added prewarmOpenAICodexResponses() function to pre-establish WebSocket connections for improved performance.
- Added getProviderDetails() function and getOpenAICodexTransportDetails() function to expose transport state and provider configuration information.
- Added provider details display in session info showing active provider configuration and authentication details.
- Added OpenAI websockets setting to enable WebSocket transport preference for OpenAI Codex models in coding agent configuration.
- Replaced all direct `process.cwd()` calls with `getProjectDir()` utility function across 40+ files to centralize project directory resolution logic.
- Added `getProjectDir()` and `setProjectDir()` functions to `@oh-my-pi/pi-utils/dirs` module to provide abstracted project directory management.
- Made `SessionManager.list()` method asynchronous to support asynchronous session discovery operations.
- Updated default working directory resolution throughout codebase to use `getProjectDir()` instead of `process.cwd()` for improved project directory detection.
- Removed aggressive whitespace normalization that was breaking heredocs and indentation-sensitive scripts.
- Preserved internal spacing and tabs in bash command normalization to support heredocs and indentation-sensitive scripts.
- Added test cases for internal spacing preservation and heredoc indentation handling.
- Extracted directory path utilities from multiple packages into a centralized '@oh-my-pi/pi-utils/dirs' module.
- Moved 30+ path helper functions (getAgentDir, getConfigRootDir, getPluginsDir, getMCPConfigPath, etc.) from scattered locations into a single shared utility module.
- Consolidated APP_NAME, CONFIG_DIR_NAME, and VERSION constants into the centralized dirs module for reuse across packages.
- Updated 70+ import statements across packages/ai, packages/coding-agent, packages/stats, and packages/tui to use the new centralized module.
- Removed local path construction logic and replaced with utility function calls for improved maintainability and consistency.
- Deleted packages/coding-agent/src/extensibility/plugins/paths.ts as its functions were moved to the centralized dirs module.
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