Metadata-Version: 2.4
Name: ai-agent-scope
Version: 0.3.0
Summary: Agent debugging and observability platform - SDK
Home-page: https://github.com/shenchengtsi/agent-scope
Author: AgentScope Team
Author-email: agentscope@example.com
Project-URL: Bug Reports, https://github.com/shenchengtsi/agent-scope/issues
Project-URL: Source, https://github.com/shenchengtsi/agent-scope
Project-URL: Documentation, https://github.com/shenchengtsi/agent-scope/blob/main/docs/
Keywords: agent,debugging,observability,monitoring,llm,ai
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Debuggers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: requests>=2.28.0
Requires-Dist: pydantic>=2.0.0
Requires-Dist: loguru>=0.7.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0.0; extra == "dev"
Requires-Dist: pytest-cov>=4.0.0; extra == "dev"
Requires-Dist: black>=23.0.0; extra == "dev"
Requires-Dist: flake8>=6.0.0; extra == "dev"
Requires-Dist: isort>=5.12.0; extra == "dev"
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# AgentScope SDK

Python SDK for AgentScope - Agent debugging and observability platform.

## Installation

```bash
pip install agentscope
```

## Quick Start

```python
from agentscope import trace, init_monitor

# Initialize monitoring
init_monitor("http://localhost:8000")

@trace(name="my_agent")
def my_agent(query: str):
    # Your agent logic here
    return f"Result for: {query}"

# Run your agent
result = my_agent("What is AI?")
```

## Features

- **Zero-intrusion**: Just add `@trace` decorator
- **Real-time monitoring**: WebSocket-based live updates
- **Execution tracing**: Full chain of thought visualization
- **Tool call tracking**: Debug function calling issues
- **Token & latency metrics**: Performance monitoring
