klisk 0.1.3

A framework for building AI agents programmatically

Klisk

The easiest way to build AI agents.

Klisk is a framework for building AI agents programmatically. Define agents and tools with a simple API, iterate with an interactive Studio, and deploy to production — all from the CLI.

Install

pip install klisk

Quick start

klisk create my-agent
cd my-agent

This scaffolds a ready-to-run project:

my-agent/
├── klisk.config.yaml
├── .env
└── src/
    ├── main.py
    └── tools/
        └── example.py

Define your agent in src/main.py:

from klisk import define_agent, get_tools

agent = define_agent(
    name="Assistant",
    instructions="You are a helpful assistant.",
    model="gpt-5.2",
    tools=get_tools("greet"),
)

Create tools in src/tools/:

from klisk import tool

@tool
async def greet(name: str) -> str:
    """Greet someone by name."""
    return f"Hello, {name}!"

Run it:

klisk run "Say hello to Juan"
klisk run -i  # Interactive chat mode

Studio

Launch the interactive development environment:

klisk dev my-agent

A visual Studio opens in your browser with:

• Agent graph — see agents and their connected tools
• Live chat — test your agent with file attachments, tool call inspection, and markdown rendering
• Inline editing — modify agent instructions, model, and tools directly from the UI
• Hot reload — changes to your code update the Studio instantly

Multi-provider

Use any LLM provider via LiteLLM. Just prefix the model name:

# OpenAI (default)
define_agent(name="Agent", model="gpt-5.2")

# Anthropic
define_agent(name="Agent", model="anthropic/claude-sonnet-4-5-20250929")

# Google
define_agent(name="Agent", model="gemini/gemini-2.5-flash")

Set the corresponding API key in your .env file (OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, etc.).

Builtin tools

OpenAI models support builtin tools out of the box:

define_agent(
    name="Researcher",
    model="gpt-5.2",
    builtin_tools=["web_search", "code_interpreter"],
)

Available: web_search, code_interpreter, file_search, image_generation.

Production

Serve your agent with a chat UI and REST API:

klisk serve my-agent

This starts a production server with:

• Chat UI at http://localhost:8080
• REST API at /api/chat (streaming supported)
• WebSocket endpoint at /ws/chat
• Embeddable widget via /widget.js
• Optional API key auth via KLISK_API_KEY

Deploy

Deploy to Google Cloud Run in one command:

klisk deploy init    # Generate Dockerfile and config
klisk deploy         # Deploy to Cloud Run

CLI reference

Command	Description
klisk create <name>	Scaffold a new project
klisk dev [name]	Start Studio with hot reload
klisk run [message]	Run agent from terminal
klisk check [name]	Validate project configuration
klisk list	List workspace projects
klisk serve [name]	Start production server
klisk deploy	Deploy to Google Cloud Run

License

Elastic License 2.0 (ELv2) — free to use, cannot be offered as a managed service.