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SkillsMP 已收集 ag2ai/build-with-ag2 中的 16 个 Skill。打开任一 Skill 可查看来源和详情。
已展示 16 / 16 个已收集 Skill。
Persist agent state across runs, shape what the LLM sees per turn, and cap history to fit a context window. Covers `KnowledgeStore` (memory / sqlite / disk / redis), `KnowledgeConfig` (`store=`, `compact=`, `aggregate=`, `bootstrap=`), aggregation strategies…
原文语言：英语
Monitor an AG2 beta agent's stream — log events, detect repeated tool calls, track token spend, build trigger-driven observers, route observer alerts to the model, and halt on FATAL conditions. Covers `@observer(...)` (stateless), `BaseObserver` (stateful),…
原文语言：英语
Add a custom Python tool to an AG2 beta `Agent` using the `@tool` decorator. Use when the user wants to give an Agent a new capability backed by Python code (API calls, DB queries, computations, file ops). Covers sync and async tools, parameter typing,…
原文语言：英语
Expose an AG2 beta `Agent` over the AG-UI protocol so a frontend (CopilotKit, custom React/Next.js, or any AG-UI client) can stream responses, render tool calls, sync shared state, and surface human-input checkpoints. Wraps the agent with `AGUIStream(agent)`…
原文语言：英语
Pause an AG2 beta `Agent` mid-run to collect human input via `context.input()`, or gate a tool call with `approval_required()` middleware. Use when the user wants the agent to ask for confirmation, request missing info (passwords, API keys, data), or have a…
原文语言：英语
Intercept the AG2 beta agent loop with `BaseMiddleware` — wrap full turns (`on_turn`), each LLM call (`on_llm_call`), each tool execution (`on_tool_execution`), or each human-input request (`on_human_input`). Use for retry, logging, history trimming, request…
原文语言：英语
Send images, audio, video, or documents into an AG2 beta `Agent` alongside text. Pass `ImageInput`, `AudioInput`, `VideoInput`, or `DocumentInput` as positional args to `agent.ask(...)`. Use when the user wants the agent to process non-text input — describe a…
原文语言：英语
Map of AG2 beta capabilities and which sibling skill to reach for. Load first when the user mentions building with AG2 beta (autogen.beta) but the specific feature isn't yet clear — agents, tools, model config, delegation, memory, observers, structured…
原文语言：英语
Build a minimal AG2 beta `Agent` end to end — pick a model provider, set a prompt, call `agent.ask()`, then continue the conversation with `reply.ask()` (multi-turn). Use when the user is starting a new AG2 beta project, has no working `Agent` yet, or needs…
原文语言：英语
Give an AG2 beta `Agent` the ability to run shell commands. Covers `LocalShellTool` (client-side `subprocess`, works with any provider) and the provider-native `ShellTool` (Anthropic / OpenAI execution). Use when the user wants the Agent to execute commands,…
原文语言：英语
Get a typed Python value back from an AG2 beta `Agent` instead of free text. Pass `response_schema=` (a Pydantic model, dataclass, primitive, union, `ResponseSchema`, or `@response_schema` validator) and read the parsed result via `await reply.content()`. Use…
原文语言：英语
Delegate work from one AG2 beta `Agent` to another. Two patterns — auto-injected `run_subtask` / `run_subtasks(parallel=True)` (opt in via `tasks=TaskConfig(...)`) for self-delegation and parallel fan-out, and `Agent.as_tool()` for named delegates between…
原文语言：英语
Add OpenTelemetry traces to an AG2 beta `Agent` via `TelemetryMiddleware` (`autogen.beta.middleware.builtin`). Emits spans for the full turn, each LLM call, each tool execution, and each human-input request, following the OpenTelemetry GenAI semantic…
原文语言：英语
Test AG2 beta agents and tools without hitting a real LLM provider. Pass `TestConfig(...)` from `autogen.beta.testing` as the agent's config (or per-`ask`) to mock LLM responses, inject `ToolCallEvent`s to simulate tool execution, and assert success / error…
原文语言：英语
Wire AG2 beta's shipped tools into an `Agent` — both provider-native server-side tools (web search, web fetch, code execution, MCP, image generation, memory) and locally-executed common toolkits (filesystem, DuckDuckGo, Exa, Tavily, skills). Use when the user…
原文语言：英语
Evaluate arithmetic expressions using a sandboxed Python script.
原文语言：英语