Metadata-Version: 2.4
Name: agentscope-monitor
Version: 0.5.0
Summary: AgentScope - Distributed tracing and monitoring for AI agents
Home-page: https://github.com/yourusername/agentscope
Author: Your Name
Author-email: your.email@example.com
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: requests>=2.25.0
Requires-Dist: loguru>=0.6.0
Provides-Extra: nanobot
Requires-Dist: nanobot-ai>=0.1.0; extra == "nanobot"
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: flake8; extra == "dev"
Requires-Dist: mypy; extra == "dev"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: provides-extra
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# 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
