semvec/pypi-packages huggingface dataset:
llmada 1.0.7
提升了系统
Requires Python: >=3.10

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 * @Author: 823042332@qq.com 823042332@qq.com
 * @Date: 2025-04-15 23:08:16
 * @LastEditors: 823042332@qq.com 823042332@qq.com
 * @LastEditTime: 2025-09-03 11:14:51
 * @FilePath: /llmada/README.md
 * @Description: 这是默认设置,请设置`customMade`, 打开koroFileHeader查看配置 进行设置: https://github.com/OBKoro1/koro1FileHeader/wiki/%E9%85%8D%E7%BD%AE
-->
# llmada
一个方便使用各种LLM api的工具
不受VPN影响
orkestra-sdk 0.0.3
The Python SDK for Orkestra, a powerful platform for building, deploying, and managing AI-native workflows and agents.
Requires Python: <4.0,>=3.9

# Orkestra SDK

The Python SDK for Orkestra, a powerful platform for building, deploying, and managing AI-native workflows and agents.

**For more information, visit [Orkestration.com](https://orkestration.com).**
**For detailed documentation, visit [docs.orkestration.com](https://docs.orkestration.com).**

## Quickstart

Install the SDK:

```bash
pip install orkestra-sdk
```

Here's a simple example of a two-step workflow:

```python
from orkestra import Orkestra

# 1. Initialize your client
orkestra_client = Orkestra()

# 2. Create agents
researcher = orkestra_client.Agent(
    name="Researcher",
    description="Gathers detailed information on a topic.",
    model_provider="openai",
    model_name="gpt-4o",
    api_secret="YOUR_OPENAI_API_KEY",
)

summarizer = orkestra_client.Agent(
    name="Summarizer",
    description="Condenses complex information into a concise summary.",
    model_provider="openai",
    model_name="gpt-3.5-turbo",
    api_secret="YOUR_OPENAI_API_KEY",
)

# 3. Create and run the workflow
workflow = orkestra_client.Workflow().add(researcher).add(summarizer)
result = workflow.run("What are the key differences between nuclear fission and fusion?")

print(result)
```