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SkillsMP a collecté 26 skills depuis ag2ai/ag2-skills. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 26 skills collectés sur 26.
Drive external CLI coding agents (Claude Code, Codex, OpenCode) as first-class AG2 Agents over the Agent Client Protocol (ACP): point an Agent at a ClaudeCodeConfig / CodexConfig / OpenCodeConfig preset from ag2.acp and ask()/run() it like any agent, with its…
Langue du texte source : anglais
Expose an AG2 `Agent` over the Agent-to-Agent (A2A) protocol so any A2A-compliant client (or another AG2 agent) can call it across process/host boundaries. Wrap the agent with `A2AServer(agent)` and serve it via `build_jsonrpc(...)`, `build_rest(...)`, or…
Langue du texte source : anglais
Add a custom Python tool to an AG2 `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, Pydantic…
Langue du texte source : anglais
Expose an AG2 `Agent` over the AG-UI protocol so a frontend (CopilotKit, custom React/Next.js, or any AG-UI client) can stream responses (text and reasoning), render tool calls, sync shared state, and track sub-task steps. Wraps the agent with…
Langue du texte source : anglais
Compare AG2 agents, models, or prompts to decide which is better. run_variants scores several named agents on one suite and ranks them on a leaderboard (Variants holds a mapping of named Agent instances plus an axis label). run_pairwise with pairwise_judge…
Langue du texte source : anglais
Evaluate, test, and track an AG2 Agent offline. Build a Suite of tasks, run the agent with run_agent, and grade answers with prebuilt scorers (final_answer_matches, tool_called, no_tool_errors, token_budget) or a custom @scorer — including the agent_judge LLM…
Langue du texte source : anglais
Pause an AG2 `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 human…
Langue du texte source : anglais
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=`, `expose_tool=`, `write_event_log=`, `compact=`, `aggregate=`,…
Langue du texte source : anglais
Build realtime voice / live audio agents with AG2's `ag2.live` module. Wrap a prompt + provider config in `LiveAgent` and open a bidirectional voice session with `agent.run()`, pumping mic audio in and playing synthesized speech out. Covers the two realtime…
Langue du texte source : anglais
Host an MCP server that exposes an AG2 `Agent` (plus prompts and resources) to MCP clients like Claude Desktop, Cursor, or the MCP Inspector. Wrap the agent with `MCPServer(agent)` — it surfaces `Agent.ask()` as a single conversational tool and serves over…
Langue du texte source : anglais
Intercept the AG2 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…
Langue du texte source : anglais
Send images, audio, video, or documents into an AG2 `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…
Langue du texte source : anglais
Open an AG2 network `discussion` channel — N-party (2+) round-robin where each participant speaks in fixed order, cycling until explicit close or TTL. Use when the user wants a brainstorm with a fixed cast, a panel discussion, or round-robin reviewers. Covers…
Langue du texte source : anglais
Govern an AG2 multi-agent network — identity (`Passport`, `Resume`), per-agent `Rule` with two top-level blocks `access` (`AccessBlock`) and `limits` (`LimitsBlock`, which nests `RateBlock` + `InboxBlock`), the swappable `HubArbiter` / `RuleBasedArbiter`…
Langue du texte source : anglais
Build a multi-agent AG2 network — load this whenever two or more `Agent`s need to interact. The network is the standard multi-agent pattern in `ag2`. Covers `Hub.open`, `LocalLink`, `HubClient.register`, `Passport`, `Resume`, channel lifecycle (PENDING →…
Langue du texte source : anglais
Shape what an AG2 network agent perceives and which actions its LLM can take. Covers the five auto-injected LLM-facing tools that ship via `NetworkPlugin` (`delegate`, `peers`, `channels`, `tasks`, `context`) plus the adapter-owned `say`; replacing the…
Langue du texte source : anglais
Build an AG2 network `workflow` channel — the orchestrated N-party adapter driven by a declarative `TransitionGraph`. Use when the user needs conditional handoffs, multi-step pipelines, context-aware routing, feedback loops, or is migrating from the classic…
Langue du texte source : anglais
Monitor an AG2 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),…
Langue du texte source : anglais
Map of AG2 capabilities and which sibling skill to reach for. Load first when the user mentions building with AG2 (ag2) but the specific feature isn't yet clear — agents, tools, model config, delegation, memory, observers, structured output, HITL, AG-UI, MCP…
Langue du texte source : anglais
Build a minimal AG2 `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 project, has no working `Agent` yet, or needs the…
Langue du texte source : anglais
Give an AG2 `Agent` the ability to run shell commands. Covers `SandboxShellTool` (client-side `subprocess` via `LocalEnvironment`, works with any provider) and the provider-native `ShellTool` (OpenAI Responses execution). Use when the user wants the Agent to…
Langue du texte source : anglais
Get a typed Python value back from an AG2 `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 when…
Langue du texte source : anglais
Single-agent recursion and parallel fan-out within one AG2 `Agent` — auto-injected `run_subtask` / `run_subtasks(parallel=True)` (opt in via `tasks=TaskConfig(...)`) for self-delegation, and `Agent.as_tool()` as a lightweight no-hub way to call one named…
Langue du texte source : anglais
Add OpenTelemetry traces to an AG2 `Agent` via `TelemetryMiddleware` (`ag2.middleware.builtin`). Emits spans for the full turn, each LLM call, each tool execution, and each human-input request, following the OpenTelemetry GenAI semantic conventions.…
Langue du texte source : anglais
Test AG2 agents and tools without hitting a real LLM provider. Pass `TestConfig(...)` from `ag2.testing` as the agent's config (or per-`ask`) to mock LLM responses, inject `ToolCallEvent`s to simulate tool execution, and assert success / error paths. Use when…
Langue du texte source : anglais
Wire AG2'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…
Langue du texte source : anglais