| Name | py-agent-tools JSON |
| Version |
0.0.24
JSON |
| download |
| home_page | None |
| Summary | ... |
| upload_time | 2025-07-17 07:42:31 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | None |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
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No Travis.
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# py-agent-tools
A Python package providing tools for working with various AI agents and APIs.
## Installation
```bash
pip install py-agent-tools
```
## Usage
- How to use model switcher with local credentials:
```python
# 服务起来的时候需要加载所有可用的凭证
switcher = ModelSwitcher(allowed_providers=['laozhang'])
await switcher.start_all_pools()
# 通过 model_provider 和 model_name 获取凭证池
model_provider = 'laozhang'
model_name = 'o4-mini'
credential_pool = self.model_switcher.get_credential_pool(model_provider, model_name)
# 根据 model_provider 和凭证池创建 agent, 可以设置系统提示词, 模型参数, 以及 http 请求的超时时间
agent= switcher.get_agent_cls(model_provider).create(
system_prompt='system',
credential_pool=credential_pool,
model_settings={'temperature': 0.0},
timeout=300,
)
# 给定提示词，agent 运行推理并存储结果于 runner 对象里, 支持传入后处理函数, 支持查看 usage 等信息
runner = await agent.run('hello')
print(runner.result)
# 服务关闭的时候清除所有凭证
switcher.stop_all_pools()
```
- TODO: How to use model switcher with remote credential api:
## Features
- Support for multiple AI agent providers
- Unified interface for different APIs
- Credential management
- Model switching capabilities
## Requirements
- Python >= 3.10
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