semvec/pypi-packages huggingface dataset:
langchain-human-fallback 0.0.1
Utilities for adding human fallback flows to LangChain apps.
License: MIT
Requires Python: >=3.8

# langchain-human-fallback

`langchain-human-fallback` is a small Python package scaffold for human-in-the-loop fallback patterns in LangChain-style applications.

## Install (local)

```bash
python3 -m pip install -e .
```

## Build package artifacts

```bash
python3 -m pip install --upgrade build
python3 -m build
```

This creates:
- `dist/langchain_human_fallback-<version>.tar.gz`
- `dist/langchain_human_fallback-<version>-py3-none-any.whl`

## Publish to PyPI

```bash
python3 -m pip install --upgrade twine
python3 -m twine upload dist/*
```

Tip: publish once ASAP with this name to claim it, then iterate on functionality in later releases.
lscom 0.0.5
list available active COM ports
License: MIT
Requires Python: >3.2
Keywords: com, com ports, serial

![pypi-badge](https://img.shields.io/pypi/v/lscom) ![pypi-format](https://img.shields.io/pypi/format/lscom) ![pypi-implementation](https://img.shields.io/pypi/implementation/lscom) ![pypi-version](https://img.shields.io/pypi/pyversions/lscom) [![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg)](https://github.com/joshschmelzle/lscom/blob/main/CODE_OF_CONDUCT.md)

# lscom: list and discover available COM ports

More quickly identify which COM ports are available for use. Any COM ports already in use will not be listed. `lscom` should work cross platform (Linux, macOS, Windows), but has not been extensively tested. Have a problem? Open an issue.

## Usage Example

```
$ lscom
['COM3']
```

## Installation from PyPI

```bash
python -m pip install lscom
```

## Local Installation Example

To install manually:

1. Clone repository.

2. Open the terminal to the root of the repository.

3. Run-

```bash
python -m pip install .
```

You should now be able to run `lscom` from your terminal

If you can't, check and make sure the scripts directory is included in the system path environment variable.

To remove:

```bash
python -m pip uninstall lscom
```
sa-assistant 0.2.5
SA Assistant - AWS Solutions Architect Professional Agent with Multi-Agent Architecture
License: MIT
Requires Python: >=3.10
Keywords: aws, solutions-architect, ai-agent, llm, bedrock, claude, multi-agent

This is a project generated by the agentcore create --template basic CLI tool!

# Layout

There are two directories generated, `src/` and `test/`. At the root, there is a `.gitignore` file, a `.bedrock_agentcore.yaml` file
which is used for other `agentcore` commands like `deploy`, `dev`, and `invoke`.

## src/

The main entrypoint to your app is defined in `src/main.py`. Using the AgentCore SDK `@app.entrypoint` decorator, this file defines a Starlette ASGI app with the chosen Agent framework SDK
running within.

`src/mcp_client/client.py` implements an MCP client using the library from your chosen Agent framework SDK.

`src/model/load.py` instantiates your chosen model provider.

## test/

Tests are not defined by default. Add your own pytest definitions here.

# Developing locally

If installation was successful, a virtual environment is already created with dependencies installed.

Run `source .venv/bin/activate` before developing.

`agentcore dev` will start a local server on 0.0.0.0:8080.

In a new terminal, you can invoke that server with:

`agentcore invoke --dev "What can you do"`

# Deployment

If you want to customize your project, you can first run `agentcore configure` before deploying. Otherwise, the default project settings
will work out of the box.

After providing credentials, `agentcore deploy` will deploy your project into Amazon Bedrock AgentCore.

Use `agentcore invoke` to invoke your deployed agent.