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openhands-sdk

Reference skill for the OpenHands Software Agent SDK - the Python framework for building AI agents that write software. Use when you need to build agents with the SDK, create custom tools, configure LLMs, manage conversations, delegate to sub-agents, or deploy agents locally or remotely.

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SKILL.md
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name
openhands-sdk
description
Reference skill for the OpenHands Software Agent SDK - the Python framework for building AI agents that write software. Use when you need to build agents with the SDK, create custom tools, configure LLMs, manage conversations, delegate to sub-agents, or deploy agents locally or remotely.
triggers
["openhands-sdk","openhands sdk","software-agent-sdk","agent-sdk","/sdk"]
# OpenHands Software Agent SDK All SDK documentation lives at <https://docs.openhands.dev/sdk>. For the full topic index, fetch <https://docs.openhands.dev/llms.txt> and read the "OpenHands Software Agent SDK" section. ## Quick reference Install: `pip install openhands-sdk openhands-tools` ```python import os from openhands.sdk import LLM, Agent, Conversation, Tool from openhands.tools.file_editor import FileEditorTool from openhands.tools.task_tracker import TaskTrackerTool from openhands.tools.terminal import TerminalTool llm = LLM( model=os.getenv("LLM_MODEL", "gpt-5.5"), api_key=os.getenv("LLM_API_KEY"), base_url=os.getenv("LLM_BASE_URL", None), ) agent = Agent( llm=llm, tools=[ Tool(name=TerminalTool.name), Tool(name=FileEditorTool.name), Tool(name=TaskTrackerTool.name), ], ) cwd = os.getcwd() conversation = Conversation(agent=agent, workspace=cwd) conversation.send_message("Write 3 facts about the current project into FACTS.txt.") conversation.run() print("All done!") ``` ## Core classes (`openhands.sdk`) | Class | Purpose | |---|---| | [`Agent`](https://docs.openhands.dev/sdk/arch/agent.md) | Reasoning-action loop | | [`Condenser`](https://docs.openhands.dev/sdk/arch/condenser.md) | Conversation history compression system | | [`Conversation`](https://docs.openhands.dev/sdk/arch/conversation.md) | Conversation orchestration system | | [`Event`](https://docs.openhands.dev/sdk/arch/events.md) | Typed event framework | | [`LLM`](https://docs.openhands.dev/sdk/arch/llm.md) | Provider-agnostic language model interface | | [`SecurityAnalyzer`](https://docs.openhands.dev/sdk/arch/security.md) | Action security analysis and validation | | [`Skill`](https://docs.openhands.dev/sdk/arch/skill.md) | Reusable prompt system | | [`Tool / ToolDefinition`](https://docs.openhands.dev/sdk/arch/tool-system.md) | Action-observation tool framework | | [`Workspace`](https://docs.openhands.dev/sdk/arch/workspace.md) | Execution environment abstraction | ## API reference [`openhands.sdk.agent`](https://docs.openhands.dev/sdk/api-reference/openhands.sdk.agent.md), [`openhands.sdk.conversation`](https://docs.openhands.dev/sdk/api-reference/openhands.sdk.conversation.md), [`openhands.sdk.event`](https://docs.openhands.dev/sdk/api-reference/openhands.sdk.event.md), [`openhands.sdk.llm`](https://docs.openhands.dev/sdk/api-reference/openhands.sdk.llm.md), [`openhands.sdk.security`](https://docs.openhands.dev/sdk/api-reference/openhands.sdk.security.md), [`openhands.sdk.tool`](https://docs.openhands.dev/sdk/api-reference/openhands.sdk.tool.md), [`openhands.sdk.utils`](https://docs.openhands.dev/sdk/api-reference/openhands.sdk.utils.md), [`openhands.sdk.workspace`](https://docs.openhands.dev/sdk/api-reference/openhands.sdk.workspace.md) ## Guides - [ACP Agent](https://docs.openhands.dev/sdk/guides/agent-acp.md): Delegate to an ACP-compatible server (Claude Code, Gemini CLI, etc.) instead of calling an LLM directly. - [Agent Settings](https://docs.openhands.dev/sdk/guides/agent-settings.md): Configure, serialize, and recreate agents from structured settings. - [Agent Skills & Context](https://docs.openhands.dev/sdk/guides/skill.md): Skills add specialized behaviors, domain knowledge, and context-aware triggers to your agent through structured prompts. - [API-based Sandbox](https://docs.openhands.dev/sdk/guides/agent-server/api-sandbox.md): Connect to hosted API-based agent server for fully managed infrastructure. - [Apptainer Sandbox](https://docs.openhands.dev/sdk/guides/agent-server/apptainer-sandbox.md): Run agent server in rootless Apptainer containers for HPC and shared computing environments. - [Ask Agent Questions](https://docs.openhands.dev/sdk/guides/convo-ask-agent.md): Get sidebar replies from the agent during conversation execution without interrupting the main flow. - [Ask Oracle](https://docs.openhands.dev/sdk/guides/agent-ask-oracle.md): Let an agent consult a saved Oracle LLM profile for stateless second-opinion advice. - [Assign Reviews](https://docs.openhands.dev/sdk/guides/github-workflows/assign-reviews.md): Automate PR management with intelligent reviewer assignment and workflow notifications using OpenHands Agent - [Browser Session Recording](https://docs.openhands.dev/sdk/guides/browser-session-recording.md): Record and replay your agent's browser sessions using rrweb. - [Browser Use](https://docs.openhands.dev/sdk/guides/agent-browser-use.md): Enable web browsing and interaction capabilities for your agent. - [Context Condenser](https://docs.openhands.dev/sdk/guides/context-condenser.md): Manage agent memory by condensing conversation history to save tokens. - [Conversation Goals](https://docs.openhands.dev/sdk/guides/agent-server/conversation-goals.md): Add a resumable goal strategy to a normal agent-server conversation. - [Conversation with Async](https://docs.openhands.dev/sdk/guides/convo-async.md): Use async/await for concurrent agent operations and non-blocking execution. - [Creating Custom Agent](https://docs.openhands.dev/sdk/guides/agent-custom.md): Learn how to design specialized agents with custom tool sets - [Critic (Experimental)](https://docs.openhands.dev/sdk/guides/critic.md): Real-time evaluation of agent actions using an LLM-based critic model, with built-in iterative refinement. - [Custom Tools](https://docs.openhands.dev/sdk/guides/custom-tools.md): Tools define what agents can do. The SDK includes built-in tools for common operations and supports creating custom tools for specialized needs. - [Custom Tools with Remote Agent Server](https://docs.openhands.dev/sdk/guides/agent-server/custom-tools.md): Learn how to use custom tools with a remote agent server by building a custom base image that includes your tool implementations. - [Custom Visualizer](https://docs.openhands.dev/sdk/guides/convo-custom-visualizer.md): Customize conversation visualization by creating custom visualizers or configuring the default visualizer. - [Deferred Init (Warm-Pool)](https://docs.openhands.dev/sdk/guides/agent-server/deferred-init.md): Pre-warm agent-server pods before a user is matched, then activate them at runtime with POST /api/init. - [Docker Sandbox](https://docs.openhands.dev/sdk/guides/agent-server/docker-sandbox.md): Run agent server in isolated Docker containers for security and reproducibility. - [Exception Handling](https://docs.openhands.dev/sdk/guides/llm-error-handling.md): Provider‑agnostic exceptions raised by the SDK and recommended patterns for handling them. - [FAQ](https://docs.openhands.dev/sdk/faq.md): Frequently asked questions about the OpenHands SDK - [File-Based Agents](https://docs.openhands.dev/sdk/guides/agent-file-based.md): Define specialized sub-agents as simple Markdown files with YAML frontmatter — no Python code required. - [Fork a Conversation](https://docs.openhands.dev/sdk/guides/convo-fork.md): Branch off an existing conversation for follow-up exploration without contaminating the original. - [Getting Started](https://docs.openhands.dev/sdk/getting-started.md): Install the OpenHands SDK and build AI agents that write software. - [Goal Completion Loop](https://docs.openhands.dev/sdk/guides/convo-goal.md): Drive a conversation toward a verifiable objective with a judge-driven, self-continuing completion loop. - [GPT-5 Preset (ApplyPatchTool)](https://docs.openhands.dev/sdk/guides/llm-gpt5-preset.md): Use the GPT-5 preset to build an agent that swaps the standard FileEditorTool for ApplyPatchTool. - [Hello World](https://docs.openhands.dev/sdk/guides/hello-world.md): The simplest possible OpenHands agent - configure an LLM, create an agent, and complete a task. - [Hooks](https://docs.openhands.dev/sdk/guides/hooks.md): Use lifecycle hooks to observe, log, and customize agent execution. - [Image Input](https://docs.openhands.dev/sdk/guides/llm-image-input.md): Send images to multimodal agents for vision-based tasks and analysis. - [Interactive Terminal](https://docs.openhands.dev/sdk/guides/agent-interactive-terminal.md): Enable agents to interact with terminal applications like ipython, python REPL, and other interactive CLI tools. - [Iterative Refinement](https://docs.openhands.dev/sdk/guides/iterative-refinement.md): Implement iterative refinement workflows where agents refine their work based on critique feedback until quality thresholds are met. - [LLM Fallback Strategy](https://docs.openhands.dev/sdk/guides/llm-fallback.md): Automatically try alternate LLMs when the primary model fails with a transient error. - [LLM Profile Store](https://docs.openhands.dev/sdk/guides/llm-profile-store.md): Save, load, and manage reusable LLM configurations so you never repeat setup code again. - [LLM Registry](https://docs.openhands.dev/sdk/guides/llm-registry.md): Dynamically select and configure language models using the LLM registry. - [LLM Streaming](https://docs.openhands.dev/sdk/guides/llm-streaming.md): Stream LLM responses token-by-token for real-time display and interactive user experiences. - [LLM Subscriptions](https://docs.openhands.dev/sdk/guides/llm-subscriptions.md): Use your ChatGPT Plus/Pro subscription to access Codex models without consuming API credits. - [Local Agent Server](https://docs.openhands.dev/sdk/guides/agent-server/local-server.md): Install and run an OpenHands Agent Server on your machine, then connect to it from the SDK. - [Metrics Tracking](https://docs.openhands.dev/sdk/guides/metrics.md): Track token usage, costs, and latency metrics for your agents. - [Model Context Protocol](https://docs.openhands.dev/sdk/guides/mcp.md): Model Context Protocol (MCP) enables dynamic tool integration from external servers. Agents can discover and use MCP-provided tools automatically. - [Model Routing](https://docs.openhands.dev/sdk/guides/llm-routing.md): Route agent's LLM requests to different models. - [Observability & Tracing](https://docs.openhands.dev/sdk/guides/observability.md): Enable OpenTelemetry tracing to monitor and debug your agent's execution with tools like Laminar, MLflow, Honeycomb, or any OTLP-compatible backend. - [OpenAI-Compatible Endpoint](https://docs.openhands.dev/sdk/guides/agent-server/openai-gateway.md): Call an OpenHands agent-server through the OpenAI Chat Completions or Responses protocol. - [OpenHands Cloud Workspace](https://docs.openhands.dev/sdk/guides/agent-server/cloud-workspace.md): Connect to OpenHands Cloud for fully managed sandbox environments with optional SaaS credential inheritance. - [Overview](https://docs.openhands.dev/sdk/guides/agent-server/overview.md): Run agents on remote servers with isolated workspaces for production deployments. - [Parallel Tool Execution](https://docs.openhands.dev/sdk/guides/parallel-tool-execution.md): Execute multiple tools concurrently within a single LLM response to improve throughput for independent operations. - [Pause and Resume](https://docs.openhands.dev/sdk/guides/convo-pause-and-resume.md): Pause agent execution, perform operations, and resume without losing state. - [Persistence](https://docs.openhands.dev/sdk/guides/convo-persistence.md): Save and restore conversation state for multi-session workflows. - [Persistent Memory](https://docs.openhands.dev/sdk/guides/persistent-memory.md): Give agents opt-in, two-tier memory that survives across conversations. - [Plugins](https://docs.openhands.dev/sdk/guides/plugins.md): Plugins bundle skills, hooks, MCP servers, agents, and commands into reusable packages that extend agent capabilities. - [PR Review](https://docs.openhands.dev/sdk/guides/github-workflows/pr-review.md): Use OpenHands Agent to generate meaningful pull request review - [Reasoning](https://docs.openhands.dev/sdk/guides/llm-reasoning.md): Access model reasoning traces from Anthropic extended thinking and OpenAI responses API. - [Secret Registry](https://docs.openhands.dev/sdk/guides/secrets.md): Provide environment variables and secrets to agent workspace securely. - [Security & Action Confirmation](https://docs.openhands.dev/sdk/guides/security.md): Control agent action execution through confirmation policy and security analyzer. - [Send Message While Running](https://docs.openhands.dev/sdk/guides/convo-send-message-while-running.md): Interrupt running agents to provide additional context or corrections. - [Software Agent SDK](https://docs.openhands.dev/sdk/index.md): Build AI agents that write software. A clean, modular SDK with production-ready tools. - [Structured Output](https://docs.openhands.dev/sdk/guides/structured-output.md): Attach a schema to any tool so the LLM returns typed, validated fields alongside the tool's own arguments. - [Stuck Detector](https://docs.openhands.dev/sdk/guides/agent-stuck-detector.md): Detect and handle stuck agents automatically with timeout mechanisms. - [Task Tool Set](https://docs.openhands.dev/sdk/guides/task-tool-set.md): Delegate complex work to specialized sub-agents that run synchronously and return results to the parent agent. - [Task-Based Model Routing](https://docs.openhands.dev/sdk/guides/llm-task-routing.md): Let the agent pick the best saved LLM profile for the task at hand with the built-in route_task_to_model tool. - [Theory of Mind (TOM) Agent](https://docs.openhands.dev/sdk/guides/agent-tom-agent.md): Enable your agent to understand user intent and preferences through Theory of Mind capabilities, providing personalized guidance based on user modeling. - [TODO Management](https://docs.openhands.dev/sdk/guides/github-workflows/todo-management.md): Implement TODOs using OpenHands Agent ## Examples Source: [`examples/`](https://github.com/OpenHands/software-agent-sdk/tree/main/examples) ### [`01_standalone_sdk/`](https://github.com/OpenHands/software-agent-sdk/tree/main/examples/01_standalone_sdk) - [`01_hello_world.py`](https://github.com/OpenHands/software-agent-sdk/blob/main/examples/01_standalone_sdk/01_hello_world.py) - [`02_custom_tools.py`](https://github.com/OpenHands/software-agent-sdk/blob/main/examples/01_standalone_sdk/02_custom_tools.py) - [`03_activate_skill.py`](https://github.com/OpenHands/software-agent-sdk/blob/main/examples/01_standalone_sdk/03_activate_skill.py) - [`04_confirmation_mode_example.py`](https://github.com/OpenHands/software-agent-sdk/blob/main/examples/01_standalone_sdk/04_confirmation_mode_example.py)
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