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SkillsMP hat 16 Skills aus ag2ai/build-with-ag2 gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 16 von 16 gesammelten Skills angezeigt.
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…
Quellsprache: Englisch
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),…
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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)`…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
Evaluate arithmetic expressions using a sandboxed Python script.
Quellsprache: Englisch