semvec/pypi-packages huggingface dataset:
conSys4Py 0.0.1a4
OGC Connected Systems API client for Python
Requires Python: <4.0,>=3.10

# Connected Systems API for Python (conSys4Py)
This package aims to help simplify the process of communicating with OGC's Connected Systems API.

---
## References:
- [OGC API - Connected Systems Github](https://github.com/opengeospatial/ogcapi-connected-systems)
- [Part 1: Reference(DRAFT)](https://docs.ogc.org/DRAFTS/23-001r0.html)
- [Part 1: OpenAPI](https://opengeospatial.github.io/ogcapi-connected-systems/redoc/?url=../api/part1/openapi/openapi-connectedsystems-1.yaml)
- [Part 2: Reference(DRAFT)](https://opengeospatial.github.io/ogcapi-connected-systems/api/part2/standard/23-002r0.html)
- [Part 2: OpenAPI](https://opengeospatial.github.io/ogcapi-connected-systems/redoc/?url=../api/part2/openapi/openapi-connectedsystems-2.yaml)
---
## Using the API
*Note: This package is still in development and as such some of the features are lower level than they will be upon 
 a full release and are subject to change. Some features may not yet be fully tested as the spec is evolving and 
 differences may arise.*

Currently, there are 3 main intended ways of using this API:
1. Direct API calls: With the part_1 and part_2 modules, there are separate files names for resource types recognized 
by the API that have simple functions relating to different types of requests you can make of the API.
2. Default API Helper: You can create an API helper object that assists with making repeated requests to the same endpoint.
Its methods involve providing a resource type, and any IDs, plus request bodies* if necessary.
3. Custom API requests: You can also manually build api helper objects that allow for the greatest customization of the
ultimate request.

__*Note: This refers to the ConnectedSystemsAPIRequest and ConnectedSystemsRequestBuilder classes.__
runnable-hub 0.3
Runnable Hub is a middleware for large models, enabling management and execution of complex inference tasks with a flexible architecture and support for multiple task types.
Requires Python: >=3.12

# Runnable Hub

Runnable Hub 是大模型中间件，可以用于管理和执行大模型相关的任务。它提供了一个灵活的架构，允许用户定义和执行复杂的大模型推理任务，并支持多种任务类型的扩展。

```mermaid
flowchart TD
    bizApp1(AI业务应用) -->|SDK| sub
    bizApp2(AI业务应用2) -->|SDK| sub
    sub[("`
    文件存储(本地|OSS|S3 ...)
    消息队列(Redis ...)
    `")] --> hub1[["`
    RunnableHub
    Python`"]]
    sub --> hub2[["`
    RunnableHub
    Java`"]]

    hub1 --> LLM_WORKER & PROCESS_WOKRER & API_WORKER & CHAIN_WORKER
    hub2 --> AGENT_WORKER & TOOL_WORKTER

```