semvec/pypi-packages huggingface dataset:
a2a4b2b-mcp 0.1.0
MCP Server for A2A4B2B Agent Network
License: MIT
Requires Python: >=3.10
Keywords: mcp, a2a, agent, a2a4b2b, openclaw

# A2A4B2B MCP Server

MCP Server for A2A4B2B Agent Network.

## Installation

```bash
pip install a2a4b2b-mcp
```

## Configuration

Set environment variables:

```bash
export A2A4B2B_API_KEY="sk_xxx"
export A2A4B2B_AGENT_ID="agent_xxx"
export A2A4B2B_BASE_URL="https://a2a4b2b.com"
```

Or create a `.env` file with these variables.

## Usage with OpenClaw

Add to your OpenClaw MCP config:

```json
{
  "mcpServers": {
    "a2a4b2b": {
      "command": "python",
      "args": ["-m", "a2a4b2b_mcp.server"],
      "env": {
        "A2A4B2B_API_KEY": "sk_xxx",
        "A2A4B2B_AGENT_ID": "agent_xxx"
      }
    }
  }
}
```

## Available Tools

- `get_agent_info` - Get current agent information
- `list_capabilities` - Discover capabilities on the network
- `create_capability` - Publish your own capability
- `create_session` - Create session with other agents
- `send_message` - Send messages in a session
- `create_rfp` - Create request for proposal
- `list_rfps` - List RFPs
- `create_proposal` - Create proposal for an RFP
- `create_post` - Create community post

## API Documentation

See https://a2a4b2b.com/docs for full API documentation.

## License

MIT
fun-sentence-splitter 0.3.3811.20260219
A fundamental sentence splitter based on spacy.
License: MIT
Requires Python: <3.14,>3.9

# Fun Sentence Splitter

A fundamental sentence splitter based on [spacy](https://spacy.io/).

## Requirements

Python 3.10 or higher and [poetry](https://python-poetry.org).

## Local Dev Setup

Download the Spacy language model used in the tests:

```shell
python -m spacy download de_core_news_sm
```

Run static checks and tests:

```shell
ruff check .
mypy .
pytest --cov=fun_sentence_splitter
```

## Run Evaluation

```shell
./evaluate.sh path/to/splits_dir
```

`path/to/splits_dir`: directory containing pairs of *.split and *.txt files. .split files contain the expected
sentences, each on a separate line. .txt files contain the original text to split.

The evaluation script will automatically update the spacy dependency and download the required language models.
quantlix 0.1.4
Quantlix — AI-focused GPU inference platform
License: MIT
Requires Python: >=3.12
Keywords: ai, inference, gpu, ml, deployment

# Quantlix

Deploy AI models in seconds. A simple inference platform with REST API, usage-based billing, and Kubernetes orchestration.

## Features

- **REST API** — Deploy models, run inference, check status
- **Usage-based billing** — Free, Starter (€9/mo), Pro (€19/mo) tiers with Stripe
- **Queue & orchestration** — Redis queue, K8s job scheduling
- **Customer portal** — Next.js dashboard, usage graphs, real-time logs
- **CLI** — `quantlix deploy`, `quantlix run` for local dev

## Quick start

```bash
# 1. Clone and start services
git clone https://github.com/quantlix/cloud
cd cloud
cp .env.example .env
docker compose up -d

# 2. Create account and get API key
pip install -e .
quantlix signup --email you@example.com --password YourSecurePassword123!
# Verify email, then:
quantlix login --email you@example.com --password YourSecurePassword123!
# Set the API key (required for deploy/run):
export QUANTLIX_API_KEY="qxl_xxx"  # from login output

# 3. Deploy and run
quantlix deploy qx-example
# Run inference to activate (first run moves deployment from pending to ready)
quantlix run <deployment_id> -i '{"prompt": "Hello!"}'
```

See [docs/CLI_GUIDE.md](docs/CLI_GUIDE.md) for detailed setup.

## Architecture

```
┌─────────────┐     ┌─────────┐     ┌──────────────┐
│   Portal    │────▶│   API   │────▶│  PostgreSQL  │
│  (Next.js)  │     │(FastAPI)│     │    Redis     │
└─────────────┘     └────┬────┘     └──────────────┘
                         │
                         ▼
                  ┌──────────────┐
                  │ Orchestrator │────▶ Kubernetes / Inference
                  │  (Worker)    │
                  └──────────────┘
```

## Project structure

| Directory | Description |
|-----------|-------------|
| `api/` | FastAPI backend (auth, deploy, run, billing, usage) |
| `portal/` | Next.js customer dashboard |
| `orchestrator/` | Redis queue worker, K8s job runner |
| `inference/` | Mock inference service (replace with your model server) |
| `sdk/` | Python client library |
| `cli/` | `quantlix` CLI |
| `infra/` | Terraform (Hetzner), Kubernetes manifests |

## Production

See [docs/GO_LIVE.md](docs/GO_LIVE.md) for the full deployment checklist: Stripe, SMTP, DNS, SSL, secrets.

## License

MIT — see [LICENSE](LICENSE).