Release 1.8.0

llms-full.txt

@@ -27460,7 +27460,7 @@ Source: https://docs.openhands.dev/openhands/usage/cli/installation.md
     docker run -it \
         --pull=always \
         -e AGENT_SERVER_IMAGE_REPOSITORY=ghcr.io/openhands/agent-server \
-        -e AGENT_SERVER_IMAGE_TAG=1.19.1-python \
+        -e AGENT_SERVER_IMAGE_TAG=1.26.0-python \
         -e SANDBOX_USER_ID=$(id -u) \
         -e SANDBOX_VOLUMES=$SANDBOX_VOLUMES \
         -v /var/run/docker.sock:/var/run/docker.sock \
@@ -30672,7 +30672,7 @@ These variables correspond to the `[sandbox]` section in `config.toml`:
 | `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., `ghcr.io/openhands/agent-server`) |
-| `AGENT_SERVER_IMAGE_TAG` | string | `""` | Runtime container image tag (e.g., `1.19.1-python`) |
+| `AGENT_SERVER_IMAGE_TAG` | string | `""` | Runtime container image tag (e.g., `1.26.0-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 |
 | `SANDBOX_CLOSE_DELAY` | integer | `300` | Delay before closing idle runtimes (seconds) |
@@ -32950,20 +32950,20 @@ Download and install the LM Studio desktop app from [lmstudio.ai](https://lmstud
 ```bash
 docker run -it --rm --pull=always \
     -e AGENT_SERVER_IMAGE_REPOSITORY=ghcr.io/openhands/agent-server \
-    -e AGENT_SERVER_IMAGE_TAG=1.19.1-python \
+    -e AGENT_SERVER_IMAGE_TAG=1.26.0-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:1.7
+    docker.openhands.dev/openhands/openhands:1.8
 ```
 
 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:1.7
+Status: Image is up to date for docker.openhands.dev/openhands/openhands:1.8
 Starting OpenHands...
 Running OpenHands as root
 14:22:13 - openhands:INFO: server_config.py:50 - Using config class None
@@ -33568,14 +33568,14 @@ Note that you'll still need `uv` installed for the default MCP servers to work p
 ```bash
 docker run -it --rm --pull=always \
   -e AGENT_SERVER_IMAGE_REPOSITORY=ghcr.io/openhands/agent-server \
-  -e AGENT_SERVER_IMAGE_TAG=1.19.1-python \
+  -e AGENT_SERVER_IMAGE_TAG=1.26.0-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:1.7
+    docker.openhands.dev/openhands/openhands:1.8
 ```
 
 </Accordion>
@@ -34683,7 +34683,7 @@ To fix this:
    docker run -it --rm \
        -e SANDBOX_VSCODE_PORT=41234 \
        -e AGENT_SERVER_IMAGE_REPOSITORY=ghcr.io/openhands/agent-server \
-       -e AGENT_SERVER_IMAGE_TAG=1.19.1-python \
+       -e AGENT_SERVER_IMAGE_TAG=1.26.0-python \
        -v /var/run/docker.sock:/var/run/docker.sock \
        -v ~/.openhands:/.openhands \
        -p 3000:3000 \
@@ -40871,13 +40871,13 @@ system and OpenHands will always load them for all your conversations. Repo-leve
     docker run -it --rm --pull=always \
       -e SANDBOX_VOLUMES="$HOME/.agents/skills:/home/openhands/.agents/skills:ro" \
       -e AGENT_SERVER_IMAGE_REPOSITORY=ghcr.io/openhands/agent-server \
-      -e AGENT_SERVER_IMAGE_TAG=1.19.1-python \
+      -e AGENT_SERVER_IMAGE_TAG=1.26.0-python \
       -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:1.7
+      docker.openhands.dev/openhands/openhands:1.8
     ```
 
     <Warning>

openhands/usage/cli/installation.mdx

@@ -71,7 +71,7 @@ description: Install the OpenHands CLI on your system
     docker run -it \
         --pull=always \
         -e AGENT_SERVER_IMAGE_REPOSITORY=ghcr.io/openhands/agent-server \
-        -e AGENT_SERVER_IMAGE_TAG=1.19.1-python \
+        -e AGENT_SERVER_IMAGE_TAG=1.26.0-python \
         -e SANDBOX_USER_ID=$(id -u) \
         -e SANDBOX_VOLUMES=$SANDBOX_VOLUMES \
         -v /var/run/docker.sock:/var/run/docker.sock \

openhands/usage/environment-variables.mdx

@@ -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 |
 | `VOLUMES` | string | `""` | Volume mounts in format `host:container[:mode]` |
 
 ## LLM Configuration Variables
@@ -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 |
 | `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 |
 | `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`) |
@@ -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) |
 | `AGENT_DISABLED_MICROAGENTS` | list | `[]` | List of skills to disable |
 
 ## Sandbox Configuration Variables
@@ -108,10 +108,10 @@
 | `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., `ghcr.io/openhands/agent-server`) |
-| `AGENT_SERVER_IMAGE_TAG` | string | `""` | Runtime container image tag (e.g., `1.19.1-python`) |
+| `AGENT_SERVER_IMAGE_TAG` | string | `""` | Runtime container image tag (e.g., `1.26.0-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 |
 | `SANDBOX_CLOSE_DELAY` | integer | `300` | Delay before closing idle runtimes (seconds) |
 | `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 |
@@ -172,7 +172,7 @@
 | `ALLOW_INSECURE_GIT_ACCESS` | boolean | `false` | Allow OpenHands to connect to git providers over plain HTTP. Set this only for trusted local or internal git providers (such as Gitea/Forgejo) where HTTPS is not available. |
 
 <Warning>
   `ALLOW_INSECURE_GIT_ACCESS=true` permits insecure HTTP connections to git providers. Only enable it for trusted local or internal networks that you control. Do not use it for public or untrusted git providers.
 </Warning>
 
 When running OpenHands with Docker, set this on the OpenHands server container:
@@ -193,7 +193,7 @@
 | `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 |
 
 ## Server Configuration Variables
 

openhands/usage/llms/local-llms.mdx

@@ -1,11 +1,11 @@
 ---
 title: Local LLMs
 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.
 ---
 
 ## News
 
 - 2026/05/21: We now recommend [Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) as the first local model to try with OpenHands. It is an open-weight MoE model built for agentic coding, supports a large context window, and is available through LM Studio, Ollama, vLLM, and SGLang.
 
 ## Quickstart: Running OpenHands with a Local LLM using LM Studio
 
@@ -13,12 +13,12 @@
 
 We recommend:
 - **LM Studio** as the local model server, which handles metadata downloads automatically and offers a simple, user-friendly interface for configuration.
 - **Qwen3.6-35B-A3B** as the LLM for software development. This model is optimized for agentic coding and works well with tool-heavy workflows like OpenHands.
 
 ### Hardware Requirements
 
 Running Qwen3.6-35B-A3B requires:
 - A recent GPU with at least 24GB of VRAM for quantized variants, or multiple GPUs for full precision and larger context windows, or
 - A Mac with Apple Silicon with at least 64GB of unified memory for quantized variants
 
 ### 1. Install LM Studio
@@ -32,7 +32,7 @@
 
 ![image](./screenshots/01_lm_studio_open_model_hub.png)
 
 3. Search for **"Qwen3.6-35B-A3B"**, confirm you're downloading from the official Qwen publisher, then proceed to download.
 
 ![image](./screenshots/02_lm_studio_download_devstral.png)
 
@@ -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.
 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.
 
@@ -82,20 +82,20 @@
 ```bash
 docker run -it --rm --pull=always \
     -e AGENT_SERVER_IMAGE_REPOSITORY=ghcr.io/openhands/agent-server \
-    -e AGENT_SERVER_IMAGE_TAG=1.19.1-python \
+    -e AGENT_SERVER_IMAGE_TAG=1.26.0-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:1.7
+    docker.openhands.dev/openhands/openhands:1.8
 ```
 
 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:1.7
+Status: Image is up to date for docker.openhands.dev/openhands/openhands:1.8
 Starting OpenHands...
 Running OpenHands as root
 14:22:13 - openhands:INFO: server_config.py:50 - Using config class None
@@ -134,21 +134,21 @@
 
 ## Community-Reported Notes and Troubleshooting
 
 If OpenHands behaves like a plain chatbot, refuses to use tools or files, or has constant failed tool calls with a local model, the issue may be with the model itself rather than your setup. Even with a large context window, some local models may struggle with reliable tool use.
 
 **Community-reported working models:**
 - `qwen2.5-coder-14b-instruct` — reported to resolve chatbot-like behavior
 - `qwopus3.5-27b-v3 Q8_0` (and similar retrained qwopus variants) — reported to work well with tool calls
 
 If you're experiencing issues, try switching to one of these models before assuming the setup is broken.
 
 ## 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.
 
 ### Create an OpenAI-Compatible Endpoint with Ollama
 
 - Install Ollama following [the official documentation](https://ollama.com/download).
 - Example launch command for Qwen3.6-35B-A3B:
 
 ```bash
@@ -159,7 +159,7 @@
 ollama pull qwen3.6:35b-a3b
 ```
 
 ### Create an OpenAI-Compatible Endpoint with vLLM or SGLang
 
 First, download the model checkpoint:
 
@@ -167,10 +167,10 @@
 huggingface-cli download Qwen/Qwen3.6-35B-A3B --local-dir Qwen/Qwen3.6-35B-A3B
 ```
 
 #### Serving the model using SGLang
 
 - Install SGLang following [the official documentation](https://docs.sglang.io/get_started/install.html).
 - Example launch command (with at least 2 GPUs):
 
 ```bash
 SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN=1 python3 -m sglang.launch_server \
@@ -185,7 +185,7 @@
 #### 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):
 
 ```bash
 vllm serve Qwen/Qwen3.6-35B-A3B \
@@ -237,10 +237,10 @@
 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/qwen3.6:35b-a3b`
      - For **SGLang/vLLM**: `openai/Qwen3.6-35B-A3B`
    - **Base URL**: `http://host.docker.internal:<port>/v1`
      Use port `11434` for Ollama, or `8000` for SGLang and vLLM.
    - **API Key**:
      - For **Ollama**: any placeholder value (e.g. `dummy`, `local-llm`)
      - For **SGLang** or **vLLM**: use the same key provided when starting the server (e.g. `mykey`)

openhands/usage/run-openhands/local-setup.mdx

@@ -71,11 +71,11 @@
 
 ### Start the App
 
 #### Option 1: Using the CLI Launcher with uv (Recommended)
 
 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)).
 
 **Install uv** (if you haven't already):
 
 See the [uv installation guide](https://docs.astral.sh/uv/getting-started/installation/) for the latest installation instructions for your platform.
 
@@ -126,14 +126,14 @@
 ```bash
 docker run -it --rm --pull=always \
   -e AGENT_SERVER_IMAGE_REPOSITORY=ghcr.io/openhands/agent-server \
-  -e AGENT_SERVER_IMAGE_TAG=1.19.1-python \
+  -e AGENT_SERVER_IMAGE_TAG=1.26.0-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:1.7
+    docker.openhands.dev/openhands/openhands:1.8
 ```
 
 </Accordion>
@@ -164,7 +164,7 @@
 2. Go to the Settings page and navigate to the `API Keys` tab.
 3. Copy your `LLM API Key`.
 
 OpenHands provides access to state-of-the-art agentic coding models with competitive pricing. [Learn more about OpenHands LLM provider](/openhands/usage/llms/openhands-llms).
 
 </Accordion>
 
@@ -216,8 +216,8 @@
 
 To enable search functionality in OpenHands:
 
 1. Get a Tavily API key from [tavily.com](https://tavily.com/).
 2. Enter the Tavily API key in the Settings page under `LLM` tab > `Search API Key (Tavily)`
 
 For more details, see the [Search Engine Setup](/openhands/usage/advanced/search-engine-setup) guide.
 

openhands/usage/troubleshooting/troubleshooting.mdx

@@ -87,7 +87,7 @@
    docker run -it --rm \
        -e SANDBOX_VSCODE_PORT=41234 \
        -e AGENT_SERVER_IMAGE_REPOSITORY=ghcr.io/openhands/agent-server \
-       -e AGENT_SERVER_IMAGE_TAG=1.19.1-python \
+       -e AGENT_SERVER_IMAGE_TAG=1.26.0-python \
        -v /var/run/docker.sock:/var/run/docker.sock \
        -v ~/.openhands:/.openhands \
        -p 3000:3000 \
@@ -149,7 +149,7 @@
   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:
   ```bash
   git grep -i "all-hands-ai"
   git grep -i "ghcr.io/all-hands-ai"

overview/skills/org.mdx

@@ -42,13 +42,13 @@ system and OpenHands will always load them for all your conversations. Repo-leve
     docker run -it --rm --pull=always \
       -e SANDBOX_VOLUMES="$HOME/.agents/skills:/home/openhands/.agents/skills:ro" \
       -e AGENT_SERVER_IMAGE_REPOSITORY=ghcr.io/openhands/agent-server \
-      -e AGENT_SERVER_IMAGE_TAG=1.19.1-python \
+      -e AGENT_SERVER_IMAGE_TAG=1.26.0-python \
       -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:1.7
+      docker.openhands.dev/openhands/openhands:1.8
     ```
 
     <Warning>