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mamoodi merged 2 commits into from
Feb 2, 2026
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Release 1.3 #290

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4b889c8
Release 1.3
mamoodi Feb 2, 2026
673c522
Update agent server image repo
mamoodi Feb 2, 2026
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4 changes: 2 additions & 2 deletions openhands/usage/cli/installation.mdx
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Expand Up @@ -65,8 +65,8 @@ description: Install the OpenHands CLI on your system
```bash
docker run -it \
--pull=always \
-e AGENT_SERVER_IMAGE_REPOSITORY=docker.openhands.dev/openhands/runtime \
-e AGENT_SERVER_IMAGE_TAG=1.2-nikolaik \
-e AGENT_SERVER_IMAGE_REPOSITORY=ghcr.io/openhands/agent-server \
-e AGENT_SERVER_IMAGE_TAG=1.10.0-python \
-e SANDBOX_USER_ID=$(id -u) \
-e SANDBOX_VOLUMES=$SANDBOX_VOLUMES \
-v /var/run/docker.sock:/var/run/docker.sock \
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4 changes: 2 additions & 2 deletions openhands/usage/environment-variables.mdx
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Expand Up @@ -36,7 +36,7 @@
| `RUNTIME` | string | `"docker"` | Runtime environment (`docker`, `local`, `cli`, etc.) |
| `DEFAULT_AGENT` | string | `"CodeActAgent"` | Default agent class to use |
| `JWT_SECRET` | string | auto-generated | JWT secret for authentication |
| `RUN_AS_OPENHANDS` | boolean | `true` | Whether to run as the openhands user |

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| `VOLUMES` | string | `""` | Volume mounts in format `host:container[:mode]` |

## LLM Configuration Variables
Expand All @@ -58,12 +58,12 @@
| `LLM_NUM_RETRIES` | integer | `8` | Number of retry attempts |
| `LLM_RETRY_MIN_WAIT` | integer | `15` | Minimum wait time between retries (seconds) |
| `LLM_RETRY_MAX_WAIT` | integer | `120` | Maximum wait time between retries (seconds) |
| `LLM_RETRY_MULTIPLIER` | float | `2.0` | Exponential backoff multiplier |

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| `LLM_DROP_PARAMS` | boolean | `false` | Drop unsupported parameters without error |
| `LLM_CACHING_PROMPT` | boolean | `true` | Enable prompt caching if supported |
| `LLM_DISABLE_VISION` | boolean | `false` | Disable vision capabilities for cost reduction |
| `LLM_CUSTOM_LLM_PROVIDER` | string | `""` | Custom LLM provider name |
| `LLM_OLLAMA_BASE_URL` | string | `""` | Base URL for Ollama API |

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| `LLM_INPUT_COST_PER_TOKEN` | float | `0.0` | Cost per input token |
| `LLM_OUTPUT_COST_PER_TOKEN` | float | `0.0` | Cost per output token |
| `LLM_REASONING_EFFORT` | string | `""` | Reasoning effort for o-series models (`low`, `medium`, `high`) |
Expand All @@ -87,7 +87,7 @@
| `AGENT_ENABLE_LLM_EDITOR` | boolean | `false` | Enable LLM-based editor |
| `AGENT_ENABLE_JUPYTER` | boolean | `false` | Enable Jupyter integration |
| `AGENT_ENABLE_HISTORY_TRUNCATION` | boolean | `true` | Enable history truncation |
| `AGENT_ENABLE_PROMPT_EXTENSIONS` | boolean | `true` | Enable skills (formerly known as microagents) (prompt extensions) |

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| `AGENT_DISABLED_MICROAGENTS` | list | `[]` | List of skills to disable |

## Sandbox Configuration Variables
Expand All @@ -107,11 +107,11 @@
| `SANDBOX_RUNTIME_STARTUP_ENV_VARS` | dict | `{}` | Environment variables for runtime |
| `SANDBOX_BROWSERGYM_EVAL_ENV` | string | `""` | BrowserGym evaluation environment |
| `SANDBOX_VOLUMES` | string | `""` | Volume mounts (replaces deprecated workspace settings) |
| `AGENT_SERVER_IMAGE_REPOSITORY` | string | `""` | Runtime container image repository (e.g., `docker.openhands.dev/openhands/runtime`) |
| `AGENT_SERVER_IMAGE_TAG` | string | `""` | Runtime container image tag (e.g., `1.2-nikolaik`) |
| `AGENT_SERVER_IMAGE_REPOSITORY` | string | `""` | Runtime container image repository (e.g., `ghcr.io/openhands/agent-server`) |
| `AGENT_SERVER_IMAGE_TAG` | string | `""` | Runtime container image tag (e.g., `1.10.0-python`) |
| `SANDBOX_KEEP_RUNTIME_ALIVE` | boolean | `false` | Keep runtime alive after session ends |
| `SANDBOX_PAUSE_CLOSED_RUNTIMES` | boolean | `false` | Pause instead of stopping closed runtimes |

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| `SANDBOX_CLOSE_DELAY` | integer | `300` | Delay before closing idle runtimes (seconds) |

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| `SANDBOX_RM_ALL_CONTAINERS` | boolean | `false` | Remove all containers when stopping |
| `SANDBOX_ENABLE_GPU` | boolean | `false` | Enable GPU support |
| `SANDBOX_CUDA_VISIBLE_DEVICES` | string | `""` | Specify GPU devices by ID |
Expand Down Expand Up @@ -178,7 +178,7 @@
| `ANTHROPIC_API_KEY` | string | `""` | Anthropic API key |
| `GOOGLE_API_KEY` | string | `""` | Google API key |
| `AZURE_API_KEY` | string | `""` | Azure API key |
| `TAVILY_API_KEY` | string | `""` | Tavily search API key |

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## Server Configuration Variables

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10 changes: 4 additions & 6 deletions openhands/usage/llms/local-llms.mdx
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@@ -1,6 +1,6 @@
---
title: Local LLMs

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description: When using a Local LLM, OpenHands may have limited functionality. It is highly recommended that you use GPUs to serve local models for optimal experience.

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---

## News
Expand Down Expand Up @@ -32,7 +32,7 @@

![image](./screenshots/01_lm_studio_open_model_hub.png)

3. Search for **"Qwen3-Coder-30B-A3B-Instruct"**, confirm you're downloading from the official Qwen publisher, then proceed to download.

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![image](./screenshots/02_lm_studio_download_devstral.png)

Expand All @@ -50,7 +50,7 @@

![image](./screenshots/04_lm_studio_setup_devstral_part_1.png)

5. Enable the "Show advanced settings" switch at the bottom of the Model settings flyout to show all the available settings.

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6. Set "Context Length" to at least 22000 (for lower VRAM systems) or 32768 (recommended for better performance) and enable Flash Attention.
7. Click "Load Model" to start loading the model.

Expand All @@ -68,24 +68,22 @@
1. Check [the installation guide](/openhands/usage/run-openhands/local-setup) and ensure all prerequisites are met before running OpenHands, then run:

```bash
docker pull docker.openhands.dev/openhands/runtime:1.2-nikolaik

docker run -it --rm --pull=always \
-e AGENT_SERVER_IMAGE_REPOSITORY=docker.openhands.dev/openhands/runtime \
-e AGENT_SERVER_IMAGE_TAG=1.2-nikolaik \
-e AGENT_SERVER_IMAGE_REPOSITORY=ghcr.io/openhands/agent-server \
-e AGENT_SERVER_IMAGE_TAG=1.10.0-python \
-e LOG_ALL_EVENTS=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-v ~/.openhands:/.openhands \
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
--name openhands-app \
docker.openhands.dev/openhands/openhands:1.2
docker.openhands.dev/openhands/openhands:1.3
```

2. Wait until the server is running (see log below):
```
Digest: sha256:e72f9baecb458aedb9afc2cd5bc935118d1868719e55d50da73190d3a85c674f
Status: Image is up to date for docker.openhands.dev/openhands/openhands:1.2
Status: Image is up to date for docker.openhands.dev/openhands/openhands:1.3
Starting OpenHands...
Running OpenHands as root
14:22:13 - openhands:INFO: server_config.py:50 - Using config class None
Expand Down Expand Up @@ -124,11 +122,11 @@

## Advanced: Alternative LLM Backends

This section describes how to run local LLMs with OpenHands using alternative backends like Ollama, SGLang, or vLLM — without relying on LM Studio.

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### Create an OpenAI-Compatible Endpoint with Ollama

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- Install Ollama following [the official documentation](https://ollama.com/download).

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- Example launch command for Qwen3-Coder-30B-A3B-Instruct:

```bash
Expand All @@ -139,7 +137,7 @@
ollama pull qwen3-coder:30b
```

### Create an OpenAI-Compatible Endpoint with vLLM or SGLang

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First, download the model checkpoint:

Expand All @@ -147,10 +145,10 @@
huggingface-cli download Qwen/Qwen3-Coder-30B-A3B-Instruct --local-dir Qwen/Qwen3-Coder-30B-A3B-Instruct
```

#### Serving the model using SGLang

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- Install SGLang following [the official documentation](https://docs.sglang.ai/start/install.html).

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- Example launch command (with at least 2 GPUs):

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```bash
SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN=1 python3 -m sglang.launch_server \
Expand All @@ -165,7 +163,7 @@
#### Serving the model using vLLM

- Install vLLM following [the official documentation](https://docs.vllm.ai/en/latest/getting_started/installation.html).
- Example launch command (with at least 2 GPUs):

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```bash
vllm serve Qwen/Qwen3-Coder-30B-A3B-Instruct \
Expand Down Expand Up @@ -217,10 +215,10 @@
2. Enable the **Advanced** toggle at the top of the page.
3. Set the following parameters, if you followed the examples above:
- **Custom Model**: `openai/<served-model-name>`
- For **Ollama**: `openai/qwen3-coder:30b`

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- For **SGLang/vLLM**: `openai/Qwen3-Coder-30B-A3B-Instruct`
- **Base URL**: `http://host.docker.internal:<port>/v1`
Use port `11434` for Ollama, or `8000` for SGLang and vLLM.

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- **API Key**:
- For **Ollama**: any placeholder value (e.g. `dummy`, `local-llm`)

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- For **SGLang** or **vLLM**: use the same key provided when starting the server (e.g. `mykey`)

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2 changes: 1 addition & 1 deletion openhands/usage/run-openhands/local-setup.mdx
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description: Getting started with running OpenHands on your own.
---

## Recommended Methods for Running Openhands on Your Local System

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### System Requirements

Expand Down Expand Up @@ -68,11 +68,11 @@

### Start the App

#### Option 1: Using the CLI Launcher with uv (Recommended)

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We recommend using [uv](https://docs.astral.sh/uv/) for the best OpenHands experience. uv provides better isolation from your current project's virtual environment and is required for OpenHands' default MCP servers (like the [fetch MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch)).

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**Install uv** (if you haven't already):

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See the [uv installation guide](https://docs.astral.sh/uv/getting-started/installation/) for the latest installation instructions for your platform.

Expand Down Expand Up @@ -130,7 +130,7 @@
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
--name openhands-app \
docker.openhands.dev/openhands/openhands:1.2
docker.openhands.dev/openhands/openhands:1.3
```

</Accordion>
Expand Down Expand Up @@ -213,8 +213,8 @@

To enable search functionality in OpenHands:

1. Get a Tavily API key from [tavily.com](https://tavily.com/).

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2. Enter the Tavily API key in the Settings page under `LLM` tab > `Search API Key (Tavily)`

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For more details, see the [Search Engine Setup](/openhands/usage/advanced/search-engine-setup) guide.

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4 changes: 2 additions & 2 deletions openhands/usage/troubleshooting/troubleshooting.mdx
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Expand Up @@ -86,8 +86,8 @@
```bash
docker run -it --rm \
-e SANDBOX_VSCODE_PORT=41234 \
-e AGENT_SERVER_IMAGE_REPOSITORY=docker.openhands.dev/openhands/runtime \
-e AGENT_SERVER_IMAGE_TAG=latest \
-e AGENT_SERVER_IMAGE_REPOSITORY=ghcr.io/openhands/agent-server \
-e AGENT_SERVER_IMAGE_TAG=1.10.0-python \
-v /var/run/docker.sock:/var/run/docker.sock \
-v ~/.openhands:/.openhands \
-p 3000:3000 \
Expand Down Expand Up @@ -126,7 +126,7 @@
git remote set-url origin https://github.com/OpenHands/OpenHands.git
```
* Update Docker image references from `ghcr.io/all-hands-ai/` to `ghcr.io/openhands/`
* Find and update any hardcoded references:

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```bash
git grep -i "all-hands-ai"
git grep -i "ghcr.io/all-hands-ai"
Expand Down