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openhands

Delegate coding tasks to LiteLLM-supported models via OpenHands CLI.

Updated Jun 26, 2026
Search Tags:#coding#task delegation#LiteLLM#model-agnostic#OpenHands CLI
One-click install
npx skills add https://github.com/NITISH-gitbit/hermes-custom --skill openhands-nitish-gitbit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openhands
Source: https://github.com/NITISH-gitbit/hermes-custom/tree/main/optional-skills/autonomous-ai-agents/openhands
Command: npx skills add https://github.com/NITISH-gitbit/hermes-custom --skill openhands-nitish-gitbit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of coding tasks by leveraging the OpenHands CLI, which is model-agnostic and uses LiteLLM for efficient task delegation.

Core Features & Use Cases

  • Model-Agnostic Coding: Utilizes any LiteLLM-supported provider (OpenAI, Anthropic, OpenRouter, etc.) for coding tasks.
  • Headless-Mode Wrapper: Batch or one-shot task delegation without an interactive UI.
  • Use Case: Ideal for users who need to delegate coding tasks to an agent that can run on various LiteLLM providers, and for complex file edits requiring shell commands.

Quick Start

Use the openhands skill to add error handling to all API calls in your project directory by running the following command:

terminal(command="OPENHANDS_SUPPRESS_BANNER=1 LLM_MODEL=openrouter/openai/gpt-4o-mini LLM_API_KEY=$OPENROUTER_API_KEY LLM_BASE_URL=https://openrouter.ai/api/v1 openhands --headless --json --override-with-envs --exit-without-confirmation -t 'Add error handling to all API calls in src/'", workdir="/path/to/project", timeout=600)

Frequently Asked Questions about openhands

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I delegate coding tasks to an AI agent using different LLM providers?▼

You can delegate coding tasks to an AI agent by running the OpenHands CLI in headless mode. It uses LiteLLM to connect to any supported LLM provider, allowing batch or one-shot task execution without an interactive UI.

Can I use OpenRouter or Anthropic models to automate complex file edits requiring shell commands?▼

Yes, you can use OpenRouter, Anthropic, or other LiteLLM-supported models to automate complex file edits. The model-agnostic design routes your specified LLM to execute shell commands and modify files directly.

What is the best way to run one-shot code generation tasks without an interactive UI?▼

The best way to run one-shot code generation tasks without an interactive UI is using the headless mode wrapper. You pass your prompt via the terminal command, and the agent executes the task and exits without requiring manual confirmation.

Do I need LiteLLM to run model-agnostic coding tasks with the OpenHands CLI?▼

Yes, you need LiteLLM to run model-agnostic coding tasks. LiteLLM provides the underlying infrastructure that allows the OpenHands CLI to route requests to various providers like OpenAI, Anthropic, and OpenRouter.

How does batch task delegation work with OpenHands CLI?▼

Batch task delegation works by passing the target task description and working directory to the headless mode command. The agent processes the coding request using the specified LiteLLM model and applies the changes within the project folder.

What are the limitations of using headless mode for coding task delegation?▼

A limitation of headless mode for coding task delegation is the absence of an interactive UI for real-time intervention. You must rely on the initial prompt and exit-without-confirmation flags, which requires precise task instructions to avoid unintended file edits.

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