AgentScope Skills

---
name: agentscope-skill
description: Build and debug Python applications using AgentScope 2.x. Consult this skill for AgentScope APIs, agent tools, multi-agent orchestration, and agent service deployment.
metadata:
  version: "0.2.0"
---

# AgentScope 2.0

AgentScope is an open-source framework for building and serving LLM-powered
agent applications, from a single tool-using agent to coordinated multi-agent
systems. It provides application orchestration and service infrastructure;
model inference comes from configured providers, and tools execute through
configured local or sandbox backends. It consists of two layers:

- **Agent SDK:** Building blocks for agent applications, including agents,
  models, messages, tools, context and state management, middleware, memory,
  RAG, multi-agent orchestration, and workspaces.
- **Service:** A service layer built on the SDK, providing APIs for agent and
  session management, persistence, teams, scheduling, channels, and resource
  management, with a Web UI example.

This skill supports **AgentScope 2.x** and is based on **2.0.8**. API signatures
and behavior should follow the SDK version actually installed in the user's
environment. `agentscope-runtime` and `agentscope-studio` are not compatible
with 2.x; use the built-in service and workspace capabilities instead.

## Installation

Python **3.11 or newer** is required.

```bash
pip install agentscope
# or
uv pip install agentscope
```

## Core Concepts and Basic Example

- `Agent` owns the reasoning/acting loop. Use `reply()` for a final `Msg`, or
  `reply_stream()` for events. `launch_console()` handles terminal interaction,
  tool confirmation, and interruption.
- Construct provider models with a credential object and `model=...`.
  Formatters still exist, but are configured on the model; providers select a
  default formatter. They are not passed to `Agent`.