- Integrated comprehensive loop guard support for DeepSeek and assistant prose patterns, including configurable stream checks.
- Implemented Moonshot Flavored JSON Schema (MFJS) normalization for improved tool compatibility and enum type inference.
- Added support for Ollama reasoning effort backfilling and Grok-specific service tier cost tracking across providers.
- Expanded model catalog with new entries and unified compatibility logic for improved OpenRouter API integration.
Restored StringEnum's plain string enum wire schema and returned legacy coding tool placeholders that let createAgentSession keep the real built-in tools active.
Fixes#2858
Added compatibility exports for legacy plugin validation, including defineTool, StringEnum, TypeBox bare imports, frontmatter helpers, SettingsManager, and createCodingTools.
Updated SDK settingsManager alias handling and regression coverage for the affected shim surfaces.
Fixes#2858
- Kept `resolveDialect("auto")` on the legacy GLM fallback when a tool-less model has no catalog-recognized dialect.
- Added `sdk-dialect` coverage for unclassified tool-less models alongside MiniMax preferred dialect routing.
- Updated the coding-agent changelog entry to mention MiniMax auto-mode routing.
- Routed `resolveDialect("auto")` through `preferredDialect(model.id)` when a tool-less model exposes an id, preserving the legacy GLM fallback for id-less models.
- Added `sdk-dialect` coverage for MiniMax and Qwen auto owned dialect selection while keeping native and explicit dialect behavior unchanged.
- Updated getApiKey signatures to accept a Model and return ApiKey or ApiKeyResolver.
- Updated stream key handling to resolve credentials per model and use seedApiKeyResolver for retries.
- Added antigravityEndpointMode setting with auto/production/sandbox endpoint selection.
- Added 429/5xx endpoint failover for Gemini stream, usage, search, and image calls.
- Sanitized artifact filenames by normalizing tool names before composing spill paths.
- Applied `wrapToolWithMetaNotice` to custom tool adapters and RPC-host tools in agent-session setup.
- Wrapped SDK-registered extension/custom tools with the same meta-notice adapter during session creation.
Route stale OpenAI GPT default roles through canonical Codex selection when the catalog prefers the Codex OAuth transport, and rank shared provider defaults by canonical provider priority.\n\nFixes #2807
- Forwarded `parentAgentId` through task and eval launch paths when spawning subagents.
- Mapped `parentAgentId` to `parentId` in `createAgentSession`.
- Passed each caller's session `getAgentId` (or `MAIN_AGENT_ID`) as the parent for spawned agents.
- Passed USER_INTERRUPT_LABEL through abort paths in collab, ACP, RPC, runtime, and SDK flows.
- Added userInitiated to synthetic continue inputs and session prompt calls.
- Suppressed advisor auto-resume during user aborts and preserved queued concerns.
- Cleared suppression on user prompts and reclaimed parked advisor cards on abort settle.
- Added discovery of local, user, and ancestor `WATCHDOG.md` files via `discoverWatchdogFiles`.
- Appended discovered watchdog prompts to advisor system prompts during session setup.
- Added protocol startup defaults that force `advisor.enabled` and `advisor.subagents` false.
- Handled `maintainContext` failures and drained pending updates before token estimation.
- Created AdvisorRuntime and AdviseTool to drive a read-only advisor agent that delivers severity-tagged advice (nit, concern, blocker) with interruption policy and transcript delta rendering.
- Added /advisor slash command with on/off/status/dump subcommands to control advisor lifecycle and inspect advisor metrics (model, messages, tokens, cost).
- Added advisor.enabled and advisor.subagents settings to enable passive advisor review on main agent and spawned task/eval subagents.
- Implemented advisor message rendering with severity-color badges (blocker=error, concern=warning, nit=muted) in chat log and status line indicator (++ badge).
- Extended yield-queue and session-history-format to support advisor batching and optional thinking block inclusion.
- Suppressed MCP connecting and LSP startup event renders when startup.quiet is enabled.\n- Added regression coverage for quiet MCP and LSP startup event handling.\n\nFixes #2639
- Renamed ToolCallSyntax type to Dialect and Grammar interface to DialectDefinition across all packages.
- Moved grammar directory to dialect and updated all import paths in agent, ai, catalog, and coding-agent packages.
- Added renderTranscript and renderThinking methods to DialectDefinition, enabling native dialect-aware conversation serialization.
- Consolidated rendering utilities into new dialect/rendering.ts with shared helpers for ChatML, legacy text, and dialect-specific formatting.
- Updated conversation serialization in agent and coding-agent to use dialect.renderTranscript() for native turn envelope rendering.
- Added `jsonSchemaToTypeScript` and `renderToolInventory` to generate tool blocks with TypeScript signatures.
- Added `examples` and `TSchema` fields to dump-tool metadata and passed them through prompt rendering.
- Changed Harmony invocation rendering to omit `<|constrain|>json` markers in tool call payloads.
- Added compact native tool list-mode inventory rendering with full `# Tool:` output elsewhere.
- Added an abortOnFabricatedToolResult option to Agent and AgentLoopConfig to choose whether in-band fabricated tool results are aborted or drained.
- Propagated the option through agent loop wiring into wrapInbandToolStream so fabrication is aborted only when enabled.
- Exposed the setting in coding-agent as tools.abortOnFabricatedResult and wired it through session creation with a true default.
- Added optional Agent and SDK tool-call syntax controls (`toolCallSyntax`, `PI_OWNED_TOOLS`) for owned calls.
- Added in-band grammar scanners and renderers for Anthropic, DeepSeek, GLM, Hermes, Kimi, PI, and Qwen3.
- Added supportsTools propagation and model schema updates to route unsupported models to fallback syntax.
- Replaced stream-markup parsing with syntax-specific in-band scanners and event conversion.
- Normalized agent `setSystemPrompt` to wrap string inputs into one-item arrays.
- Updated session creation to accept string `systemPrompt` values and normalize callback or direct results to string arrays.
- Adjusted extension result handling and test fixtures to accept string `systemPrompt` and missing `assistant_message` fields without crashing.
Deferred MCP discovery wrote 'Connecting to MCP servers: …' straight to process.stderr while the TUI owned the terminal, overdrawing the chat input box border. onMCPConnecting now emits McpConnectingEvent on the mcp:connecting channel; InteractiveMode subscribes and renders it via showStatus (status container), mirroring the LSP-startup pattern. New mcp/startup-events.ts holds the channel, type, and formatMCPConnectingMessage.
- agent-loop: raise repetition-detection floor to 180 chars and clear thinking
replay anchors when collapsing a detected loop.
- providers/google: ignore empty text parts, retain terminal thoughtSignatures,
and stop function-call signatures clobbering the prior block.
- autolearn: capture goal-mode at the turn boundary; harden managed-skill writes
against hard-links/symlinks (O_NOFOLLOW + nlink); refuse minting managed skills
whose name an authored skill already claims.
- eager tasks: thread agentKind through the session so a custom top-level agentId
still gets always-mode delegation; split Eager Tasks prompt into hard vs soft.
- title-generator: race the online title model against a local tiny-model fallback.
- eager-todo: keep the soft reminder aligned with the todo init schema.
- mcp/stdio: keep close() detaching the read loop instead of awaiting it.
- stream loop: fix collapsing and tool-call thought-signature handling.
- Added unified `omp setup speech` flow with JSON/check modes and model picker.
- Added local STT pipeline with sherpa workers, recorder/download flow, and streaming inference.
- Added local TTS pipeline with `omp say`, backend selection, and streaming vocalization.
- Replaced legacy speech settings with unified `speech`/`speechgen` configuration keys.
Grill findings on the auto-learn change-set — the controller nudge, the standing
guidance, and the actual tool availability could disagree:
- Guidance was rebuilt from live `autolearn.enabled`, so a mid-session enable (or
a subagent that filtered the tools out) injected guidance for tools the session
never built. `buildAutoLearnInstructions` now takes `{ manageSkill, learn }` and
is driven by the auto-learn BUILTINS that `createTools` actually built
(`builtInToolNames`) — provenance, so a same-named custom/extension tool can't
trigger it while auto-learn is off.
- The controller install reverted to gate on `autolearn.enabled && taskDepth === 0`:
the tool registry is built once at session start, so installing it while disabled
would nudge toward absent tools. The fire-time re-check still handles a
mid-session disable.
- Force-included auto-learn tools are now ACTIVATED for restricted top-level
sessions (mirroring the `yield` invariant), so a session with an explicit tool
whitelist actually exposes manage_skill/learn instead of building them inactive.
Tests: guidance gating by tool presence (none/manage-only/learn), restricted-session
activation via createAgentSession, and removal of the obsolete mid-session-enable
controller case.
The controller was only constructed when `autolearn.enabled` was true at
`createAgentSession` time. Because `newSession` reuses the session without
rerunning startup, enabling the setting via the UI mid-session never installed
the listener, so the feature stayed inert until the app was recreated. The
controller already re-checks the live flag at fire time, so install it for every
top-level session and let that check gate activation; when disabled it only
counts tool calls and returns.
Addresses review thread on PR #2542 (thread 18).
The `AutoLearnController` was constructed inside the fire-and-forget
`startMemoryStartupTask`, after `await memoryBackend.start()`. With a slow
backend (Mnemopi/Hindsight) a fast first turn could begin and finish before the
event listener subscribed, dropping that turn's tool events so no nudge fired.
Install the controller synchronously, before the backend task, so the listener
is registered before any turn can run.
Addresses review thread on PR #2542 (thread 10).
- Added a `snapcompact-savings.jsonl` append-only journal for per-tool savings records.
- Extended `SnapcompactInlineTransformer` to compute `savedTokens` and emit savings to an optional sink.
- Integrated `createSnapcompactSavingsRecorder` into `createAgentSession` for session-aware tool-result metrics.
- Skipped journaling entries without a session and deduped duplicate `toolCallId`s per recorder lifecycle.
- Added tests for savings-sink emissions and savings-journal read/write behavior.
Add a default-off "auto-learn" loop. When `autolearn.enabled` is set, after the
agent stops a session controller nudges it to capture reusable lessons: durable
facts go to long-term memory and repeatable procedures become "managed skills" —
SKILL.md files written to an isolated ~/.omp/agent/managed-skills directory that is
discovered and surfaced like authored skills but never overwrites them.
Two tools back this:
- `manage_skill` — create/update/delete managed skills.
- `learn` — record a lesson, optionally minting/enhancing a managed skill in the
same call (requires a hindsight/mnemopi memory backend).
The nudge is passive by default (a hidden reminder rides the next turn);
`autolearn.autoContinue` instead auto-runs one capture turn at stop, and
`autolearn.minToolCalls` (default 5) gates trivial turns. Plan/goal-mode turns and
subagents are never nudged, and the controller re-checks the live setting at fire
time so a mid-session opt-out takes effect.
Isolation & precedence: managed skills are a separate lowest-priority discovery
provider, so an authored skill of the same name wins across every provider and
custom directory regardless of third-party toggles; a disabled higher-priority
authored skill can never hide a managed one, and managed never masks an enabled
authored skill. Managed names and descriptions are sanitized on both write and
read (control/format chars, angle brackets, and Markdown fences) before they render
into the system prompt, and the SKILL.md byte cap is enforced on the final
serialized file.
Default off → zero footprint when disabled.
- Added session-domain modules and exports for session-entries, context, listing, loader, and migrations.
- Changed persistence to async append writes plus writeTextAtomic, removing sync line APIs.
- Added compaction-aware session context rebuild with dangling tool-call cleanup.
- Added resumable session resolution with status inference, id/stem/suffix matching, and backup recovery.
- Replaced async getApiKey probing with modelRegistry.hasConfiguredAuth during session model restore and fallback selection.
- Removed the per-provider key cache and avoided startup getApiKey/network work by checking configured auth synchronously.
- Deferred real key retrieval to the request-time resolver while preserving existing model selection flow.
- Added getActiveModel support to session/tool interfaces for propagating active model objects.
- Added model capability helpers to flag WebP-unfriendly Ollama backends for image resize options.
- Updated image normalization and loading to auto-disable/reencode WebP when model constraints require it.
- Recomputed `tools.discoveryMode: "auto"` in the deferred MCP closure in `sdk.ts` once the real tool count is known: a toolset crossing the threshold now flips discovery on, registers and activates `search_tool_bm25`, and skips `activateAll` instead of force-activating every MCP tool.
- Guarded the deferred MCP task against disposed sessions: added `AgentSession.isDisposed` and `enableMCPDiscovery()`, and the late connect now calls `disconnectAll()` instead of refreshing tools onto a dead session.
- Cleared `#fastPathKey`/`#fastPathItems` in `AssistantMessageComponent.invalidate()` so theme/symbol changes rebuild reused Markdown children instead of keeping stale captured themes.
- Memoized unusable read summaries as a `false` sentinel in `read.ts` so the per-session LRU no longer retains full sources of unsummarizable files.
- Broadened `HAS_REF_DEF` in `markdown.ts` to match backslash-escaped reference labels (`[a\]b]: x`) and cleared frozen stream-lex state on blank `setText()`.
- Added regression tests: deferred auto-discovery flip and mid-connect dispose (`sdk-mcp-auto-discovery.test.ts` + `many-tools-mcp.ts` fixture), fast-path child rebuild on invalidate, and escaped-ref-def incremental-lex equivalence.
- Added snapcompact.shape setting with auto and variant options in agent config.
- Implemented resolveShape support for forced variants, auto provider winners, and repricing.
- Threaded resolved shape into compaction and inline-image flows for pricing and rendering.
- Added a `personality` enum to `settings-schema.ts` and new `Personality` type alias.
- Replaced inline reply guidelines with a templated `<personality>` block in `system-prompt.md`.
- Added markdown personality specs and wired them into `system-prompt.ts` rendering.
- Updated `sdk.ts` and `selector-controller.ts` to apply personality changes and refresh prompts.
- Set sub-agent sessions to use `personality: none` to suppress personality rendering.
- Added `renderSnapcompactFrames()` and `snapcompactFrameCount()` to @oh-my-pi/snapcompact for paging arbitrary text into PNG image blocks without dim-marker bookkeeping.
- Widened the agent loop's `transformProviderContext` hook to `(context, model) => Context` so per-request transforms can gate on the dispatch model's capabilities.
- Added `SnapcompactInlineTransformer` rendering the system prompt and large historical tool results as snapcompact frames on vision models: vision gate, per-provider image budgets, 3k-token floor, savings-margin gate, skip-last rule, and hash-keyed render caches swept to live tool calls.
- Added default-off `snapcompact.systemPrompt` and `snapcompact.toolResults` settings under a new Context → Experimental group, composed after secret obfuscation in `sdk.ts` so frames are built per-request and never persisted to session.jsonl.
- Added prompt stubs (`snapcompact-system-stub.md`, `snapcompact-system-frames-note.md`, `snapcompact-toolresult-note.md`) and unit tests covering frame paging, no-mutate guarantees, budget caps, gates, and render caching.
Introduces AgentLifecycleManager: when the task executor adopts a finished subagent the manager arms a TTL timer on idle, parks the agent on expiry (disposes the live session, keeps the AgentRef + sessionFile), and revives it on demand via an injected reviver. Only this manager flips parked ↔ idle. AgentRegistry now annotates session: AgentRef["session"] as null exactly when parked/aborted, and sdk.ts wires the lifecycle dispose into main-session teardown, derives agentKind once, and gates ref unregistration on parking so a parked agent stays addressable (history://, revive).
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