- Added support for comma/space-separated path lists in find, grep, ast_grep, and ast_edit tools, allowing users to search multiple directories with a single query (e.g., 'apps/,packages/,phases/' or 'apps/ packages/ phases/').
- Added resolveMultiSearchPath and resolveMultiFindPattern utility functions to path-utils for intelligent parsing and resolution of multi-path search inputs with automatic common base path detection.
- Updated tool documentation for find, grep, ast_grep, and ast_edit to clarify that path parameters accept files, directories, glob patterns, or comma/space-separated path lists.
- Refactored path resolution logic in find, grep, ast_grep, and ast_edit tools to use unified multi-path handling with intelligent delimiter detection (comma or whitespace).
- Exported `submitInteractiveInput()` function for programmatic submission of user input in interactive mode.
- Fixed continue special path to skip optimistic submission state check for already-started prompts.
- Added 2 test cases covering continue submission behavior and optimistic state cancellation.
- Preserved text signature metadata (id and phase) when building OpenAI native history during session compaction.
- Added test case validating that codex assistant text signature metadata is correctly preserved in remote compaction history.
- Added `onPayload` callback option to intercept and transform provider request payloads before transmission across agent and AI packages.
- Added structured text signature metadata with phase information to OpenAI and Azure OpenAI providers for enhanced response tracking.
- Added `before_provider_request` extension event to coding-agent for chaining payload transformations across multiple handlers.
- Improved error messages in `response.failed` events with detailed error codes, messages, and incomplete reasons from provider responses.
- Added background model discovery with provider status tracking and 24-hour model caching to improve startup performance.
- Changed model discovery timeout from 3000ms to 250ms and deferred blocking refresh to background operations for faster initialization.
- Fixed model discovery to preserve cached models when providers are unavailable or unauthenticated.
- Added validation in Kitty key formatting to reject unsupported modifiers and improved error handling.
- Reorganized CI workflow to run TypeScript linting in check job and conditional Rust checks in native job matrix.
- Updated system prompt and tool guidance to recommend combined investigation-and-edit workflows and maintainable code practices.
- Introduced SubmittedUserInput type to track submission state including cancelled and started flags. Added startPendingSubmission, cancelPendingSubmission, markPendingSubmissionStarted, and finishPendingSubmission methods to manage the lifecycle of user input submissions. Enhanced escape key handling to prioritize canceling pending optimistic submissions before aborting active sessions.
- Extracted loading animation lifecycle management into centralized ensureLoadingAnimation() method.
- Consolidated duplicate loading animation setup across event-controller and interactive-mode into single reusable method.
- Updated showError() to properly clean up loading animation state when errors occur.
- Added comprehensive test coverage for InputController escape key behavior with optimistic submission.
- Imported buildSessionContext from session-manager module.
- Replaced inline session context object with buildSessionContext factory call in test assertion.
- Reapplied #applyHardcodedModelPolicies method to enforce gpt-5.4 context window policy across all model loading paths.
- Updated model registry to apply hardcoded policies after both initial load and dynamic discovery.
- Adjusted test expectations to reflect the restored policy enforcement behavior.
- Added Tavily web search provider with API key authentication and credential discovery from environment or database.
- Integrated Tavily as highest-priority search provider in fallback chain with structured response mapping and error handling.
- Added Tavily OAuth login flow in CLI and auth-storage with manual API key input and validation.
- Added comprehensive test suite for Tavily provider covering registration, response mapping, error handling, and credential validation.
Fixes#313
- Removed Kagi Universal Summarizer integration from fetch tool and YouTube scraper.
- Removed `fetch.useKagiSummarizer` configuration setting from settings schema.
- Simplified renderHtmlToText() and renderUrl() functions by removing Kagi summarization fallback logic.
- Fixed indentation inconsistencies in test files from tabs to spaces.
* fix(session): bypass user-prompt pipeline in handoff
handoff() was calling #promptWithMessage, which gates on an API key
check before reaching this.agent.prompt(). That gate is appropriate for
user-facing prompts but has no place in an internal document-generation
call: it blocked the test spy on agent.prompt and required callers to
carry real credentials just to run the handoff path.
Fix: call #promptAgentWithIdleRetry directly (preserving the
busy-wait behaviour and #promptInFlightCount tracking) and skip the
user-prompt pipeline (API key validation, bash/python flushes, file
mention expansion, plan messages, extension events) entirely. handoff
creates a fresh session immediately after, so none of that setup
applies.
Tests now reach agent.prompt with no stub on modelRegistry.getApiKey.
* fix(patch): HASHLINE_PREFIX_RE strips comment lines with word: pattern
The regex used [0-9a-zA-Z]{1,16} for the hash ID segment, which matched
common comment patterns like '# Note:', '# TODO:', '# FIXME:'. When a
single-line replacement contained such a comment, nonEmpty===1 and
hashPrefixCount===1, triggering stripping and eating the comment prefix.
Actual hashline IDs are always exactly 2 chars from ZPMQVRWSNKTXJBYH.
Constrain the regex to that exact alphabet so no English word can match.
Also update tests that used fake IDs (AB, CD, EF) not in the real alphabet.
* Revert "fix(patch): HASHLINE_PREFIX_RE strips comment lines with word: pattern"
This reverts commit 112ad083de956d4ed8b78a7e6e9af2c061befbd5.
---------
Co-authored-by: Miroslav Drbal <miroslav.drbal@gendigital.com>
- Resolved symlinked paths before passing to brush shell to keep `pwd` output aligned with canonical Git worktree paths.
- Added `resolveShellCwd` helper that safely resolves symlinks and falls back to original path on error.
- Added test case verifying symlinked directories are canonicalized before execution.
* fix(patch): HASHLINE_PREFIX_RE strips comment lines with word: pattern
The regex used [0-9a-zA-Z]{1,16} for the hash ID segment, which matched
common comment patterns like '# Note:', '# TODO:', '# FIXME:'. When a
single-line replacement contained such a comment, nonEmpty===1 and
hashPrefixCount===1, triggering stripping and eating the comment prefix.
Actual hashline IDs are always exactly 2 chars from ZPMQVRWSNKTXJBYH.
Constrain the regex to that exact alphabet so no English word can match.
Also update tests that used fake IDs (AB, CD, EF) not in the real alphabet.
* test(patch): add regression tests for comment line prefix stripping bug
Three new tests in hashlineParseContent describe block:
- hashlineParseText preserves '# Word:' comment lines (unit)
- full pipeline: replacing '# Note:' comment line preserves prefix
- full pipeline: replacing '# TODO:' comment line preserves prefix
These would have caught the HASHLINE_PREFIX_RE bug where [0-9a-zA-Z]{1,16}
matched comment words, causing stripNewLinePrefixes to eat the '# Note:'
prefix when a single comment line was the sole replacement entry.
---------
Co-authored-by: Miroslav Drbal <miroslav.drbal@gendigital.com>
- Replaced vi.spyOn fetch mocking pattern with hookFetch utility across 5 test files.
- Migrated fetch mocks to use resource management with 'using' keyword for automatic cleanup.
- Removed @ts-expect-error comments related to fetch.preconnect type issues.
- Updated ts-hook-fetch rule documentation with expanded patterns and clearer lifecycle guidance.
- Fixed API key credential matching to compare by type and identity key instead of object identity.
- Fixed credential deduplication to preserve existing credentials when replacement key matches.
- Fixed auth schema version preservation by conditionally writing schema version only on initial setup.
- Added test coverage for API key reuse, email deduplication, and schema version preservation.
- Extracted fetch mocking logic into reusable `hookFetch()` utility function with middleware-style handler pattern.
- Replaced manual `globalThis.fetch` assignment and restoration across 10 test files with `hookFetch()` calls using `using` statement for automatic cleanup.
- Implemented Disposable pattern with Symbol.dispose for fetch hook resource management, eliminating try-finally blocks.
- Exported `hookFetch` from utils public API to enable consistent fetch mocking across packages.
- Added `env` parameter to bash tool for safe environment variable passing without shell re-parsing.
- Added support for rendering partial environment variable assignments in command preview during streaming.
- Updated bash tool prompt to recommend `env` parameter for multiline, quote-heavy, and untrusted values.
- Refactored tool execution component to conditionally merge partial JSON arguments during streaming.
- Added helper functions for environment variable normalization, escaping, and formatting.
- Added skipPostPromptRecoveryWait option to HandoffOptions for deferring recovery work in handoff operations.
- Added deferred auto-compaction scheduling for threshold-triggered handoffs via post-prompt task queue.
- Extracted handoff document template to dedicated system prompt file for improved maintainability and reusability.
- Changed handoff prompt generation to use template rendering with custom focus instructions support.
- Refactored prompt-in-flight tracking from boolean flag to counter for proper nested operation handling.
- Moved llms.txt endpoint discovery to fallback strategy when rendered page content is low quality, prioritizing page-specific content over site-wide files.
- Enhanced llms.txt endpoint detection to scope candidates to the requested URL path, searching section-specific files before site-wide ones.
- Replaced getOrigin() with buildLlmEndpointCandidates() to generate path-scoped endpoint candidates with depth-based fallback strategy.
- Updated tryLlmEndpoints() to accept full URL and return endpoint metadata alongside content for better fallback tracking.
- Added 2 integration tests validating section-scoped llms.txt discovery and preference for rendered content over site-wide files.
- Renamed parameter names in ast-grep and ast-edit tools from `patterns`/`selector` to `pat`/`sel` for brevity across schema, implementation, and tests.
- Expanded ast-grep and ast-edit tool documentation with 12+ new usage guidelines, examples, and critical notes on pattern syntax, metavariable placement, and error handling.
- Updated CHANGELOG.md to document parameter renames and expanded tool guidance for AST pattern syntax and metavariable usage.
- Reformatted test assertions and type annotations across ast-edit and ast-grep test files for improved readability.
- Added `glob` parameter to `ast_grep`, `ast_edit`, and `grep` tools for filtering files relative to `path`.
- Implemented `combineSearchGlobs()` utility to merge glob patterns from multiple sources instead of throwing errors.
- Changed `grep` tool to combine glob patterns when both `path` and `glob` parameters are provided.
- Updated tool documentation to recommend pairing `path`, `glob`, and `lang` for language-scoped search in mixed repositories.
- Added comprehensive test coverage for combined path and glob parameter handling across grep, ast_grep, and ast_edit tools.
- Removed three @ts-expect-error comments that are no longer needed for fetch.preconnect mocking.
- The test mocks now work without requiring type suppression.
- Added automatic Ollama model capability detection via /api/show endpoint to discover reasoning and input modality support.
- Improved Kagi API error handling with structured error parsing for JSON and plain text response formats.
- Fixed Cerebras streaming compatibility by omitting stream_options.include_usage parameter.
- Simplified API key credential storage to always replace credentials instead of merging for non-minimax providers.
- Updated Kagi Search API key format from 'kagi_...' to 'KG_...' and clarified beta access requirement in provider description.
Fixes#326.
Fixes#321.
Fixes#298.
- Added incremental history mode to OpenAI responses .
- Changed OpenAI Codex to exclusively use websockets v2 protocol with fatal error detection for automatic SSE fallback.
- Fixed Gemini model parsing to strip `-preview` suffix for consistent model identification across API calls.
- Improved websocket error handling to extract and report detailed error messages from error events.
- Removed deprecated BETA_RESPONSES_WEBSOCKETS constant and websocket v2 feature flag branching logic.
- Introduced Effort enum and ThinkingConfig metadata for per-model reasoning capabilities with min/max effort levels.
- Migrated thinking level API from string-based ThinkingLevel to structured Effort enum across agent and AI packages.
- Added model-thinking module with effort mapping, policy application, and semantic versioning utilities for provider-specific thinking modes.
- Removed supportsXhigh() function and replaced effort clamping with model-aware validation using ThinkingConfig metadata.
- Expanded models.json with thinking configuration objects for 50+ models including Claude, Gemini, and OpenAI variants.
- Added Python analysis scripts for edit tool usage patterns and tool invocation stream processing.
- Added serviceTier option to OpenAI providers for controlling processing priority and cost across agent, completions, responses, and codex APIs.
- Added providerPayload field to messages for transport-native history reconstruction in OpenAI Responses and Codex APIs.
- Added /fast slash command and serviceTier setting to coding-agent for toggling OpenAI priority mode with fast mode indicator.
- Added remote compaction support with encrypted reasoning preservation for OpenAI models in coding-agent.
- Removed usage caching layer across all providers and refactored UsageFetchContext to eliminate cache and now dependencies.
- Fixed OpenAI Codex streaming service_tier inclusion, provider retry logic with exponential backoff, and email-based credential deduplication.
* idiomatic rust fixes
* idiomatic rust fixes
* display an image if we are fetching an image
* MIME type strictness
* codex nagging me
* codex nagging
* handoff instead of compaction as context filled strategy and surfacing
* handoff instead of compaction as context filled strategy and surfacing p2
* handoff instead of compaction as context filled strategy and surfacing p3
* handoff instead of compaction as context filled strategy and surfacing p4
* handoff instead of compaction as context filled strategy and surfacing p5
* handoff instead of compaction as context filled strategy and surfacing, fixes
* failing fetch test from the fetch tool updates
* handoff focus prompt skeleton
* handoff focus prompt skeleton p2
* fetch bugs
* further codex improvements
* further codex improvements
---------
Co-authored-by: Brit <lol@no.com>
- Added auto-correction logic for off-by-one range start errors in hashline edits.
- Added safety check to prevent false-positive auto-correction when position already includes boundary.
- Added test coverage for off-by-one range correction and duplicate leading line handling.
- Extracted turn-aborted-guidance prompt to external markdown file for better maintainability.
- Removed static thinking mode constant exports (THINKING_LEVELS, ALL_THINKING_LEVELS, ALL_THINKING_MODES, THINKING_MODE_DESCRIPTIONS, THINKING_MODE_LABELS) in favor of dynamic function-based API.
- Renamed formatThinking() to getThinkingMetadata() with return type changed from string to structured ThinkingMetadata object containing value, label, and description.
- Renamed getAvailableThinkingLevel() to getAvailableThinkingLevels() and getAvailableThinkingEffort() to getAvailableThinkingEfforts() with added default parameters for runtime flexibility.
- Updated all consumer modules to use new function-based API instead of static constants, enabling dynamic thinking mode configuration.