Yahoo Finance

Manages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don't use for fine-tuning models (use `agent-platform-tuning`), deploying models to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).

Use when a user wants to build an application with ClickHouse, set up a local ClickHouse development environment, install ClickHouse, create a local server, create tables, or start developing with ClickHouse. Covers the full flow from zero to a working local ClickHouse setup.

Guide to the assistant-ui runtime system, single-thread state, and the imperative aui client API in @assistant-ui/react. Use when creating a runtime (useLocalRuntime with a ChatModelAdapter, useExternalStoreRuntime for Redux/Zustand, useRemoteThreadListRuntime, useAssistantTransportRuntime), wiring AssistantRuntimeProvider, or reading/mutating thread, message, composer, and attachment state. Covers the unified hooks useAui, useAuiState, useAuiEvent and the v0.15 property accessors (aui.thread, aui.threads, aui.message, aui.composer, aui.part; availability via aui.thread.source != null), the s.optional.<scope> state view, scope methods (append, cancelRun, startRun, resumeRun, message({index}), part({index}), composer().send), capabilities, adapters (attachment, speech, dictation, suggestion, feedback, history), realtime voice, and types (ThreadMessage, MessageState, MessagePart, MessageStatus, ChatModelRunResult). The v0.12-era legacy context hooks (useAssistantRuntime, useThreadRuntime

Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutorials and user guides. Invoke for OpenAPI/Swagger specs, JSDoc, doc portals, getting started guides.

Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.

Build durable backend AI agents with the eve framework. Use when creating, editing, or debugging an eve project — agent instructions, skills, tools, connections, channels, sandboxes, subagents, schedules, or evals.