- 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.
#applyHardcodedModelPolicies forced contextWindow=1_000_000 on any model
with id 'gpt-5.4' regardless of provider. This was wrong in every case:
- github-copilot/gpt-5.4: inflated from bundled 400K (and overwrote the
~274K that Copilot's live /models discovery returns via capabilities.limits)
- openai/gpt-5.4: deflated from bundled 1_050_000 to 1_000_000
- openai-codex, opencode, opencode-zen: same downgrade from 1_050_000
The method was called twice — after static load and after runtime discovery —
so it reliably clobbered the correct provider-specific value both times.
No documented rationale exists for the override. The bundled models.json
values are already correct. Remove the method and its two call sites.
fixes#332
Co-authored-by: Miroslav Drbal <miroslav.drbal@gendigital.com>
- 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.
- 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>
- 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.
- Added `read.defaultLimit` setting to configure default line count for read tool output (default 300 lines).
- Added preset options (200, 300, 500, 1000, 5000 lines) for read default limit in settings UI.
- Updated read tool to distinguish between default and maximum limits per call in prompt documentation.
- Refactored read tool limit logic to use configurable default limit with bounds validation.
- Extracted thinking module with ThinkingEffort, ThinkingLevel, and ThinkingMode types to centralize reasoning configuration across packages.
- Migrated ThinkingLevel type from pi-agent-core to pi-ai package with new validation functions parseThinkingLevel() and getAvailableThinkingLevel().
- Consolidated thinking level constants and descriptions into reusable exports (ALL_THINKING_LEVELS, THINKING_MODE_DESCRIPTIONS) for consistent UI display.
- Removed local thinking-effort-label utility and replaced formatThinkingEffortLabel() with centralized formatThinking() function from pi-ai.
- Refactored thinking mode handling to distinguish ThinkingSelector (user-facing with 'off' option) from ThinkingEffort (provider-level).
parseModelString now extracts valid thinking level suffixes (e.g.,
"anthropic/claude-opus-4-6:high") instead of treating them as part of
the model ID. This enables per-role thinking levels in config:
modelRoles:
slow: anthropic/claude-opus-4-6:high
default: anthropic/claude-opus-4-6:low
smol: google/gemini-3-flash:medium
The thinking level is applied at startup, in SDK fallback resolution,
and during Ctrl+P role cycling. The original config string is preserved
on role cycle so the suffix round-trips correctly.
- Added `fetch.useKagiSummarizer` configuration setting to toggle Kagi Universal Summarizer usage in fetch tool.
- Updated fetch tool to conditionally apply Kagi summarization based on configuration setting.
- Added comprehensive test coverage for Kagi summarizer toggle behavior with mocked dependencies.
- Refactored hlineref Handlebars helper to return JSON-quoted strings for safer JSON embedding in prompts.
- Improved hashlineParseText to preserve blank lines and trailing empty strings while normalizing line endings.
- Optimized duplicate line detection in range replacements using trimmed comparison to reduce whitespace false positives.
- Fixed resource refresh tracking by storing connection references alongside promises to prevent stale deduplication.
- Fixed update target resolution to explicitly handle missing ompPath and use path.resolve() for consistent normalization.
- Added error handling and logging in Smithery registry detail fetching to gracefully handle failures and track issues.
- Fixed virtualization context cleanup in error paths to prevent partially-started instances from remaining active.
- Fixed API key retrieval to use dynamic provider configuration instead of hardcoded provider string.
- Enhanced test utilities to capture and verify request parameters for improved test coverage and debugging.
- Fixed URI template matching to handle empty string expansions in MCP resource queries.
- Fixed LM Studio URL validation to preserve invalid baseUrl instead of applying localhost fallback.
- Fixed MCP notification epoch handling to prevent unsubscribe calls when old subscriptions resolve after re-enabling.
- Extracted hardcoded LM Studio base URL to named constant for improved maintainability.
- Refactored notification epoch check logic for improved code clarity and readability.
- Normalize LM Studio discovery URLs to avoid duplicated /v1 segments
- Harden status-line PR cache with branch+repo context validation and guarded async writes
- Apply Foundry auth precedence correctly and preserve system trust roots when custom CA is provided
- Split Copilot premium multiplier handling by plan tier while preserving agent-initiated zero billing
- Catch MCP notification refresh failures and route read_resource via deterministic full template matching
- Add regression tests for each fix cluster and keep targeted suites green
* feat: Add LM Studio as a supported model provider with OpenAI-compatible API fetching and discovery.
Add LM Studio as a supported AI provider with optional API key, environment variables, and discovery.
* feat: Add rustup as a dev dependency.
* fix: Refine LM Studio API key handling to conditionally send authorization headers during model discovery based on whether the key is a default local token or a custom key, and add new tests.
* feat: Enhance OAuth token and account ID resolution for model providers in the model registry.
* rebase for packages/ai/CHANGELOG.md
* feat: improve implicit model discovery to independently auto-detect Ollama and LM Studio, and refine LM Studio base URL handling.
---------
Co-authored-by: Can Bölük <can1357@users.noreply.github.com>
* feat(mcp): resource notifications, subscriptions, and read_resource builtin tool
- Add MCP resource subscription lifecycle (subscribe/unsubscribe on connect/disconnect)
- Wire mcp.notifications setting with live toggle support
- Add debounced followUp injection for resource change notifications
- Add global read_resource builtin tool with server resolution by URI/template scheme
- Add MCP prompt commands (buildMCPPromptCommands) with array content support
- Add server instructions injection into system prompt with attribution
- Add mcp.notificationDebounceMs configurable setting
Client (client.ts):
listResources, listResourceTemplates, readResource with pagination
subscribeToResources, unsubscribeFromResources
listPrompts, getPrompt, serverSupportsPrompts
serverSupportsResources, serverSupportsResourceSubscriptions
Manager (manager.ts):
Notification dispatch with subscribed-URI guard
Concurrent refresh deduplication via pending promise map
setNotificationsEnabled with subscribe/unsubscribe toggle
Tests:
client-resources.test.ts (31 tests)
client-prompts.test.ts (20 tests)
mcp-read-resource.test.ts (13 tests)
* fix(mcp): address PR review - eager prompt init and stale subscription cleanup
P1: Make setOnPromptsChanged eagerly fire for servers that already
have prompts loaded. The callback is registered after MCP discovery
has already loaded prompts and fired the hook, so without this the
handler is never called on the common startup path. The fix is in
the manager itself (not the caller), eliminating the race condition
regardless of when the callback is wired.
P2: Unsubscribe removed resource URIs on resource refresh.
refreshServerResources was subscribing to the new URI set and
overwriting #subscribedResources without unsubscribing URIs that
were previously subscribed but no longer present, leaving stale
subscriptions active on the server.
* fix(mcp): add resources and prompts to /mcp help text and subcommand completions
* feat(mcp): add /mcp notifications command
Shows per-server notification capabilities with subscription state:
- Lists supported notification types (tools/list_changed, resources/list_changed,
prompts/list_changed) with check marks
- Shows resources/subscribe status with active subscription count
- Lists subscribed URIs with green ticks when notifications are enabled
- Displays overall enabled/disabled state (mcp.notifications setting)
* fix(mcp): address PR review comments on race conditions and stale state
- Await subscribe/unsubscribe in refreshServerResources so the refresh
promise doesn't resolve before subscriptions are settled, preventing
a second refresh from racing and overwriting tracking state (P2 #3)
- Guard setNotificationsEnabled subscribe .then() against a disable
that happens while the subscribe request is in-flight (P2 #5)
- Re-check mcp.notifications setting inside debounce setTimeout
callback so toggling off mid-window actually suppresses the
follow-up message (P2 #4)
- Fire onToolsChanged and onPromptsChanged callbacks in
disconnectServer so stale slash commands and tool registrations
are cleaned up when a server is removed (P2 #2)
---------
Co-authored-by: Miroslav Drbal <miroslav.drbal@gendigital.com>
* Add PR number segment to status bar
Add a new 'pr' status line segment that shows the GitHub PR number
(e.g., #1234) as a clickable OSC 8 hyperlink when the current branch
has an associated pull request.
- Async lookup via 'gh pr view', cached per branch
- Invalidates on branch change via .git/HEAD watcher
- Falls back to hidden segment when no PR exists or gh unavailable
- Supports all theme presets (unicode, nerd font, ascii)
- Added to all preset layouts after the git segment
* Skip PR lookup on default branch, resolve dynamically
* Extract git-utils, add tests for parseGitHubRepo and parseDefaultBranch
* Fix PR lookup race condition, invalidation churn, and dotted repo names
- Guard #cachedPr writes against branch change during in-flight lookup
- Stop clearing PR cache in invalidate() (only .git/HEAD watcher should)
- Allow dots in GitHub repo names in parseGitHubRepo regex
* Simplify PR lookup: use gh pr view, try upstream/HEAD for default branch
- Replace gh pr list --head with gh pr view (requires gh repo set-default)
- Remove manual remote URL resolution — gh handles it
- Default branch detection falls back to upstream/HEAD when origin/HEAD is unset
- Add KagiProvider implementation (Search API v0)
- Register kagi in SearchProviderId type, provider map, and fallback order
- Add kagi to tool schema enum, SearchParams type, and settings UI
- Register KAGI_API_KEY in service provider map
- Update CHANGELOG
- Enforced tool decision in plan mode--agent now requires calling either `ask` or `exit_plan_mode` when a turn ends without a required tool call.
- Fixed cancellation behavior of `ask` tool to abort the current turn instead of returning a normal cancelled selection, while timeout-driven auto-cancel still returns without aborting.
- Added plan-mode-tool-decision-reminder system prompt to guide agent when required tools are not called.
- Improved agent_end event handling to use fallback assistant message when #lastAssistantMessage is unavailable.
- Added checkpoint and rewind tools to create context checkpoints before exploratory work and rewind to replace exploration messages with concise reports.
- Added checkpoint.enabled setting to control availability of checkpoint and rewind tools in agent sessions.
- Added getCheckpointState() and setCheckpointState() methods to agent session API for checkpoint state management.
- Implemented checkpoint state tracking with message count, entry ID, and timestamp to enable context cost optimization during investigations.
- Added render_mermaid tool to convert Mermaid diagrams to ASCII output with configurable rendering options.
- Added renderMermaid.enabled setting to control availability of the render_mermaid tool.
- Changed Mermaid rendering from PNG terminal graphics to ASCII text format across theme and TUI components.
- Migrated mermaid utilities from pi-tui to pi-utils package with new ASCII rendering functions.
- Removed PNG-based mermaid rendering APIs (getMermaidImage, renderMermaidToPng) in favor of ASCII alternatives.
- Added `hlinejsonref` Handlebars helper for embedding hashline references inside JSON blocks in prompts.
- Enhanced hashline tool documentation with explicit prohibition on formatting-only edits.
- Added mandatory rule requiring indentation in `lines` to match surrounding context exactly from `read` output.
- Updated all hashline examples to use `hlinejsonref` instead of `hlineref` for JSON-safe references.
- Removed normativeRewrite setting and buildNormativeUpdateInput() function from public API.
- Removed $normative property and TNormative generic parameter from ToolResultMessage and AgentToolResult interfaces.
- Deleted normative.ts patch normalization module and related helper functions for diff anchor processing.
- Removed rewriteAssistantToolCallArgs() and #rewriteToolCallArgs() methods that modified tool call arguments.
- Add hasUnrepresentableStrictObjectMap() pre-flight in tryEnforceStrictSchema;
schemas using patternProperties or schema-valued additionalProperties now
degrade to non-strict mode instead of throwing during enforcement
- Add test coverage for patternProperties graceful degradation
- Extend ANTHROPIC_OAUTH_BETA in openai-compat route with
interleaved-thinking-2025-05-14, context-management-2025-06-27, and
prompt-caching-scope-2026-01-05 beta flags
- Add gemini, codex, and synthetic to providers.webSearch setting enum
- Added ast_find and ast_replace tools for syntax-aware structural code search and rewriting via ast-grep.
- Added astFind.enabled and astReplace.enabled configuration settings to control tool availability.
- Implemented native AST module with pattern matching, language inference, and edit application for 7 languages.
- Added system prompt guidance to prefer AST tools over bash text manipulation for syntax-aware operations.
- Extracted prompt formatting logic into reusable `formatPromptContent()` utility function with configurable render phases.
- Removed 166 lines of duplicate formatting code from scripts and config modules by centralizing regex patterns and helper functions.
- Updated prompt template rendering to use unified `formatPromptContent()` instead of inline `optimizePromptLayout()` implementation.
- Added comprehensive test coverage for prompt formatting with pre-render and post-render mode validation.
- Added `tools.maxTimeout` setting to enforce global timeout ceiling across all tool calls.
- Centralized per-tool timeout constants and clamping logic into `tool-timeouts.ts` module.
- Extracted `clampTimeout()` function to standardize timeout enforcement across bash, python, browser, ssh, and fetch tools.
- Added graceful schema validation fallback mechanism that degrades to unconstrained schemas on repeated validation failures.
- Enhanced schema enforcement across AI providers to use try-catch pattern with automatic fallback to non-strict mode on validation errors.
- Improved handling of circular, deeply nested, and non-object output schemas with stack overflow prevention and type conversion fallbacks.
- Added `tryEnforceStrictSchema()` utility function providing error-resilient schema validation with strict mode flag tracking.
- Increased default async max jobs limit from 15 to 100 for improved concurrent task handling.
- Updated fallback default in SDK initialization to match schema configuration.
- Added topP, topK, minP, presencePenalty, and repetitionPenalty sampling control options to StreamOptions and AgentOptions interfaces.
- Implemented getter and setter properties on Agent class for runtime configuration of model sampling parameters.
- Added UI configuration and preset value providers for five new sampling parameters in coding-agent settings schema and components.
- Integrated sampling control parameters through proxy layer and agent session configuration for end-to-end provider support.
- Standardized prompt format, removing XML-like tags.
- Emphasized RFC 2119 keywords using bolding across all prompts.
- Rewrote the core system prompt with enhanced structure and directives.
can1357