Skip to main content

A toolkit to build GUI surfing AI agents

Project description


Surfkit

A toolkit for building AI agents that use devices
Explore the docs »

View Demo · Report Bug · Request Feature


Installation

pip install surfkit

Usage

Building Agents

Initialize a new project

surfkit new [NAME]

Build a docker container for the agent

surfkit build

Running Agents

Create an agent locally

surfkit create agent --name foo

Create an agent on kubernetes

surfkit create agent --runtime kube

List running agents

surfkit list agents

Get details about a specific agent

surfkit get agent --name foo

Fetch logs for a specific agent

surfkit logs --name foo

Delete an agent

surfkit delete agent --name foo

Managing Devices

Create a device

surfkit create device --type desktop --provicer gce --name bar

List devices

surfkit list devices

View device in UI

surfkit view --name bar

Delete a device

surfkit delete device --name bar

Solving Tasks

Solve a task with an existing setup

surfkit solve --description "search for common french ducks" --agent foo --device bar

Solve a task creating the agent ad hoc

surfkit solve --description "search for alpaca sweaters" \
--device bar --agent-file ./agent.yaml

Solve a task and kill the agent post-execution

surfkit solve --description "search for the meaning of life" \
--device bar --agent-file ./agent.yaml --kill

List tasks

surfkit list tasks

Publishing Agents

Login to the hub

surfkit login

Publish the agent

surfkit publish

List published agent types

surfkit list types

Run a published agent

surfkit create agent --type SurfPizza --runtime kube

Developing

Add the following function to your ~/.zshrc (or similar)

function sk() {
    local project_dir="/path/to/surfkit/repo"
    local venv_dir="$project_dir/.venv"

    local ssh_auth_sock="$SSH_AUTH_SOCK"
    local ssh_agent_pid="$SSH_AGENT_PID"

    source "$venv_dir/bin/activate"

    export SSH_AUTH_SOCK="$ssh_auth_sock"
    export SSH_AGENT_PID="$ssh_agent_pid"

    python -m surfkit.cli.main "$@"
    deactivate
}

Replacing /path/to/surfkit/repo with the absolute path to your local repo.

Then calling sk will execute the working code in your repo from any location.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

surfkit-0.1.158.tar.gz (52.1 kB view details)

Uploaded Source

Built Distribution

surfkit-0.1.158-py3-none-any.whl (64.9 kB view details)

Uploaded Python 3

File details

Details for the file surfkit-0.1.158.tar.gz.

File metadata

  • Download URL: surfkit-0.1.158.tar.gz
  • Upload date:
  • Size: 52.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.10.1 Darwin/22.6.0

File hashes

Hashes for surfkit-0.1.158.tar.gz
Algorithm Hash digest
SHA256 88f1ae3737a5e7d83d2905d1fa1d412f6ae7b8817b749efee4709adcca44275a
MD5 c4eb550003b4a24148bfa5cc2c2634a6
BLAKE2b-256 7de56d6a93640d7829c2f0da4b4db1330f99990de39ef7e32303f2f77d73b321

See more details on using hashes here.

File details

Details for the file surfkit-0.1.158-py3-none-any.whl.

File metadata

  • Download URL: surfkit-0.1.158-py3-none-any.whl
  • Upload date:
  • Size: 64.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.10.1 Darwin/22.6.0

File hashes

Hashes for surfkit-0.1.158-py3-none-any.whl
Algorithm Hash digest
SHA256 e9917186f8d096996e9372af96c6d3e791477914685b90af037764cfea319674
MD5 91ec7b8475282e5894d90606f5745fda
BLAKE2b-256 73afa3d479ef90f2e9f6d7676f7278fcb62fd117aabccb3544ef6fc8cdf6a09b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page