semvec/pypi-packages huggingface dataset:
corp-error-agent 0.4.2
Runtime agent that captures uncaught errors + env snapshot and prints data‑driven CLI hints.
License: MIT
Requires Python: >=3.8

# Corp Error Agent
A lightweight runtime agent that captures uncaught exceptions and environment snapshots.

Install this in your project to capture errors and send them to a backend for further processing and fix suggestions.

## Backend URL Configuration

The backend URL defaults to `http://127.0.0.1:8000`, but you can change it in two ways:

1. **Environment Variable (recommended for quick changes):**
   - Set the environment variable `ERROR_AGENT_URL` to your backend URL before running your Python process.
     - On Windows (cmd): `set ERROR_AGENT_URL=http://your-backend:port`
     - On PowerShell: `$env:ERROR_AGENT_URL="http://your-backend:port"`
     - On Unix/bash: `export ERROR_AGENT_URL=http://your-backend:port`

2. **Persistent CLI Configuration:**
   - Use the provided CLI helper to set the backend URL once per machine:
     ```sh
     python -m corp_error_agent.cli configure --url http://your-backend:port
     ```
   - This stores the URL in a user config file for persistent use.

## Telemetry Server

You can use or further customize the [corp_error_agent_server](https://github.com/arielfayol37/corp_error_agent_server) Django REST project as a telemetry server for this package.

---
agentdesk 0.2.137
A desktop for AI agents
License: MIT
Requires Python: <4.0,>=3.10

<!-- PROJECT LOGO -->
<br />
<p align="center">
  <!-- <a href="https://github.com/agentsea/skillpacks">
    <img src="https://project-logo.png" alt="Logo" width="80">
  </a> -->

  <h1 align="center">AgentDesk</h1>

  <p align="center">
    Desktops for AI agents &nbsp; :computer:
    <br />
    <a href="https://docs.hub.agentsea.ai/agentdesk/intro"><strong>Explore the docs »</strong></a>
    <br />
    <br />
    <a href="https://youtu.be/exoOUUwFRB8">View Demo</a>
    ·
    <a href="https://github.com/agentsea/agentdesk/issues">Report Bug</a>
    ·
    <a href="https://github.com/agentsea/agentdesk/issues">Request Feature</a>
  </p>
  <br>
</p>

AgentDesk provides full-featured desktop environments which can be programatically controlled by AI agents. 
Spin them up locally or in the cloud.

▶ Built on [agentd](https://github.com/agentsea/agentd) a runtime daemon which exposes a REST API for interacting with the desktop.

▶ Implements the [DeviceBay Protocol](https://github.com/agentsea/devicebay).

## Installation

```
pip install agentdesk
```

## Quick Start

```python
from agentdesk import Desktop

# Create a desktop container
desktop = Desktop.docker()

# Launch the UI for it
desktop.view(background=True)

# Open a browser to Google
desktop.open_url("https://google.com")

# Take actions on the desktop
desktop.move_mouse(500, 500)
desktop.click()
img = desktop.take_screenshots()
```

## Usage

### Create a local desktop

```python
from agentdesk import Desktop

desktop = Desktop.docker()
```

```bash
$ agentdesk create --provider docker
```

_\*requires [docker](https://www.docker.com/)_


### Create a remote desktop on Kubernetes

```python
desktop = Desktop.kube()
```

```bash
$ agentdesk create --provider kube
```

### View the desktop in the UI

```python
desktop.view()
```

```bash
$ agentdesk view old_mckinny
```

_\*requires docker_

### List desktops

```python
Desktop.find()
```

```bash
$ agentdesk get
```

### Delete a desktop

```python
Desktop.delete("old_mckinny")
```

```bash
$ agentdesk delete old_mckinny
```

### Use the desktop

```python
desktop.open_url("https://google.com")

coords = desktop.mouse_coordinates()

desktop.move_mouse(500, 500)

desktop.click()

desktop.type_text("What kind of ducks are in Canada?")

desktop.press_key('Enter')

desktop.scroll()

img = desktop.take_screenshots()
```

### Processors

Process images to make them more accessible to LMMs.

#### Grid

Add a coordinate grid on top of the image

```python
from agentdesk.processors import GridProcessor

img = desktop.take_screenshots()

processor = GridProcessor()
grid_img = processor.process_b64(img)
```

## Community

Come join us on [Discord](https://discord.gg/hhaq7XYPS6).

## Developing

Please open an issue before creating a PR.

Changes to the VM happen in [agentd](https://github.com/agentsea/agentd).