Release 0.25.0

.github/pull_request_template.md

@@ -1,12 +1,11 @@
-- [ ] This change is worth documenting at https://docs.all-hands.dev/
-- [ ] Include this change in the Release Notes. If checked, you **must** provide an **end-user friendly** description for your change below
+**End-user friendly description of the problem this fixes or functionality that this introduces**
+
+- [ ] Include this change in the Release Notes. If checked, you must provide an **end-user friendly** description for your change below
+
+---
+**Give a summary of what the PR does, explaining any non-trivial design decisions**
 
-**End-user friendly description of the problem this fixes or functionality that this introduces.**
 
 
 ---
-**Give a summary of what the PR does, explaining any non-trivial design decisions.**
-
-
----
-**Link of any specific issues this addresses.**
+**Link of any specific issues this addresses**

.github/workflows/dummy-agent-test.yml

@@ -24,10 +24,6 @@ jobs:
         uses: docker/setup-buildx-action@v3
       - name: Install tmux
         run: sudo apt-get update && sudo apt-get install -y tmux
-      - name: Setup Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: '22.x'
       - name: Install poetry via pipx
         run: pipx install poetry
       - name: Set up Python

.github/workflows/ghcr-build.yml

@@ -41,10 +41,8 @@ jobs:
     steps:
       - name: Checkout
         uses: actions/checkout@v4
-        with:
-          ref: ${{ github.event.pull_request.head.sha }}
       - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3.6.0
+        uses: docker/setup-qemu-action@v3.4.0
         with:
           image: tonistiigi/binfmt:latest
       - name: Login to GHCR
@@ -56,22 +54,22 @@ jobs:
       - name: Set up Docker Buildx
         id: buildx
         uses: docker/setup-buildx-action@v3
-      - name: Lowercase Repository Owner
-        run: |
-          echo REPO_OWNER=$(echo ${{ github.repository_owner }} | tr '[:upper:]' '[:lower:]') >> $GITHUB_ENV
       - name: Build and push app image
         if: "!github.event.pull_request.head.repo.fork"
         run: |
-          ./containers/build.sh -i openhands -o ${{ env.REPO_OWNER }} --push
+          ./containers/build.sh -i openhands -o ${{ github.repository_owner }} --push
       - name: Build app image
         if: "github.event.pull_request.head.repo.fork"
         run: |
-          ./containers/build.sh -i openhands -o ${{ env.REPO_OWNER }} --load
+          ./containers/build.sh -i openhands -o ${{ github.repository_owner }} --load
       - name: Get hash in App Image
         id: get_hash_in_app_image
         run: |
+          # Lowercase the repository owner
+          export REPO_OWNER=${{ github.repository_owner }}
+          REPO_OWNER=$(echo $REPO_OWNER | tr '[:upper:]' '[:lower:]')
           # Run the build script in the app image
-          docker run -e SANDBOX_USER_ID=0 -v /var/run/docker.sock:/var/run/docker.sock ghcr.io/${{ env.REPO_OWNER }}/openhands:${{ env.RELEVANT_SHA }} /bin/bash -c "mkdir -p containers/runtime; python3 openhands/runtime/utils/runtime_build.py --base_image ${{ env.BASE_IMAGE_FOR_HASH_EQUIVALENCE_TEST }} --build_folder containers/runtime --force_rebuild" 2>&1 | tee docker-outputs.txt
+          docker run -e SANDBOX_USER_ID=0 -v /var/run/docker.sock:/var/run/docker.sock ghcr.io/${REPO_OWNER}/openhands:${{ env.RELEVANT_SHA }} /bin/bash -c "mkdir -p containers/runtime; python3 openhands/runtime/utils/runtime_build.py --base_image ${{ env.BASE_IMAGE_FOR_HASH_EQUIVALENCE_TEST }} --build_folder containers/runtime --force_rebuild" 2>&1 | tee docker-outputs.txt
           # Get the hash from the build script
           hash_from_app_image=$(cat docker-outputs.txt | grep "Hash for docker build directory" | awk -F "): " '{print $2}' | uniq | head -n1)
           echo "hash_from_app_image=$hash_from_app_image" >> $GITHUB_OUTPUT
@@ -92,10 +90,8 @@ jobs:
     steps:
       - name: Checkout
         uses: actions/checkout@v4
-        with:
-          ref: ${{ github.event.pull_request.head.sha }}
       - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3.6.0
+        uses: docker/setup-qemu-action@v3.4.0
         with:
           image: tonistiigi/binfmt:latest
       - name: Login to GHCR
@@ -126,19 +122,16 @@ jobs:
         run: make install-python-dependencies
       - name: Create source distribution and Dockerfile
         run: poetry run python3 openhands/runtime/utils/runtime_build.py --base_image ${{ matrix.base_image.image }} --build_folder containers/runtime --force_rebuild
-      - name: Lowercase Repository Owner
-        run: |
-          echo REPO_OWNER=$(echo ${{ github.repository_owner }} | tr '[:upper:]' '[:lower:]') >> $GITHUB_ENV
       - name: Build and push runtime image ${{ matrix.base_image.image }}
         if: github.event.pull_request.head.repo.fork != true
         run: |
-          ./containers/build.sh -i runtime -o ${{ env.REPO_OWNER }} --push -t ${{ matrix.base_image.tag }}
+          ./containers/build.sh -i runtime -o ${{ github.repository_owner }} --push -t ${{ matrix.base_image.tag }}
       # Forked repos can't push to GHCR, so we need to upload the image as an artifact
       - name: Build runtime image ${{ matrix.base_image.image }} for fork
         if: github.event.pull_request.head.repo.fork
         uses: docker/build-push-action@v6
         with:
-          tags: ghcr.io/${{ env.REPO_OWNER }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image.tag }}
+          tags: ghcr.io/all-hands-ai/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image.tag }}
           outputs: type=docker,dest=/tmp/runtime-${{ matrix.base_image.tag }}.tar
           context: containers/runtime
       - name: Upload runtime image for fork
@@ -158,8 +151,6 @@ jobs:
         base_image: ['nikolaik']
     steps:
       - uses: actions/checkout@v4
-        with:
-          ref: ${{ github.event.pull_request.head.sha }}
       - name: Cache Poetry dependencies
         uses: actions/cache@v4
         with:
@@ -242,9 +233,6 @@ jobs:
         run: pipx install poetry
       - name: Install Python dependencies using Poetry
         run: make install-python-dependencies
-      - name: Lowercase Repository Owner
-        run: |
-          echo REPO_OWNER=$(echo ${{ github.repository_owner }} | tr '[:upper:]' '[:lower:]') >> $GITHUB_ENV
       - name: Run docker runtime tests
         run: |
           # We install pytest-xdist in order to run tests across CPUs
@@ -253,7 +241,8 @@ jobs:
           # Install to be able to retry on failures for flaky tests
           poetry run pip install pytest-rerunfailures
 
-          image_name=ghcr.io/${{ env.REPO_OWNER }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image }}
+          image_name=ghcr.io/${{ github.repository_owner }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image }}
+          image_name=$(echo $image_name | tr '[:upper:]' '[:lower:]')
 
           TEST_RUNTIME=docker \
           SANDBOX_USER_ID=$(id -u) \
@@ -307,9 +296,6 @@ jobs:
         run: pipx install poetry
       - name: Install Python dependencies using Poetry
         run: make install-python-dependencies
-      - name: Lowercase Repository Owner
-        run: |
-          echo REPO_OWNER=$(echo ${{ github.repository_owner }} | tr '[:upper:]' '[:lower:]') >> $GITHUB_ENV
       - name: Run runtime tests
         run: |
           # We install pytest-xdist in order to run tests across CPUs
@@ -318,7 +304,8 @@ jobs:
           # Install to be able to retry on failures for flaky tests
           poetry run pip install pytest-rerunfailures
 
-          image_name=ghcr.io/${{ env.REPO_OWNER }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image }}
+          image_name=ghcr.io/${{ github.repository_owner }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image }}
+          image_name=$(echo $image_name | tr '[:upper:]' '[:lower:]')
 
           TEST_RUNTIME=docker \
           SANDBOX_USER_ID=$(id -u) \

.github/workflows/integration-runner.yml

@@ -40,11 +40,6 @@ jobs:
           python-version: ${{ matrix.python-version }}
           cache: "poetry"
 
-      - name: Setup Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: '22.x'
-
       - name: Comment on PR if 'integration-test' label is present
         if: github.event_name == 'pull_request' && github.event.label.name == 'integration-test'
         uses: KeisukeYamashita/create-comment@v1

.github/workflows/openhands-resolver.yml

@@ -88,10 +88,12 @@ jobs:
         run: |
           python -m pip index versions openhands-ai > openhands_versions.txt
           OPENHANDS_VERSION=$(head -n 1 openhands_versions.txt | awk '{print $2}' | tr -d '()')
-
-          # Create a new requirements.txt locally within the workflow, ensuring no reference to the repo's file
-          echo "openhands-ai==${OPENHANDS_VERSION}" > /tmp/requirements.txt
-          cat /tmp/requirements.txt
+          # Ensure requirements.txt ends with newline before appending
+          if [ -f requirements.txt ] && [ -s requirements.txt ]; then
+            sed -i -e '$a\' requirements.txt
+          fi
+          echo "openhands-ai==${OPENHANDS_VERSION}" >> requirements.txt
+          cat requirements.txt
 
       - name: Cache pip dependencies
         if: |
@@ -109,9 +111,9 @@ jobs:
         uses: actions/cache@v4
         with:
           path: ${{ env.pythonLocation }}/lib/python3.12/site-packages/*
-          key: ${{ runner.os }}-pip-openhands-resolver-${{ hashFiles('/tmp/requirements.txt') }}
+          key: ${{ runner.os }}-pip-openhands-resolver-${{ hashFiles('requirements.txt') }}
           restore-keys: |
-            ${{ runner.os }}-pip-openhands-resolver-${{ hashFiles('/tmp/requirements.txt') }}
+            ${{ runner.os }}-pip-openhands-resolver-${{ hashFiles('requirements.txt') }}
 
       - name: Check required environment variables
         env:
@@ -223,7 +225,7 @@ jobs:
             } else {
               console.log("Installing from requirements.txt...");
               await exec.exec("python -m pip install --upgrade pip");
-              await exec.exec("pip install -r /tmp/requirements.txt");
+              await exec.exec("pip install -r requirements.txt");
             }
 
       - name: Attempt to resolve issue

.github/workflows/py-unit-tests.yml

@@ -32,10 +32,6 @@ jobs:
         uses: docker/setup-buildx-action@v3
       - name: Install tmux
         run: sudo apt-get update && sudo apt-get install -y tmux
-      - name: Setup Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: '22.x'
       - name: Install poetry via pipx
         run: pipx install poetry
       - name: Set up Python
@@ -48,7 +44,7 @@ jobs:
       - name: Build Environment
         run: make build
       - name: Run Tests
-        run: poetry run pytest --forked -n auto --cov=openhands --cov-report=xml -svv ./tests/unit --ignore=tests/unit/test_long_term_memory.py
+        run: poetry run pytest --forked -n auto --cov=openhands --cov-report=xml -svv ./tests/unit --ignore=tests/unit/test_memory.py
       - name: Upload coverage to Codecov
         uses: codecov/codecov-action@v5
         env:

CITATION.cff

@@ -1,55 +0,0 @@
-cff-version: 1.2.0
-message: "If you use this software, please cite it using the following metadata."
-title: "OpenHands: An Open Platform for AI Software Developers as Generalist Agents"
-authors:
-  - family-names: Wang
-    given-names: Xingyao
-  - family-names: Li
-    given-names: Boxuan
-  - family-names: Song
-    given-names: Yufan
-  - family-names: Xu
-    given-names: Frank F.
-  - family-names: Tang
-    given-names: Xiangru
-  - family-names: Zhuge
-    given-names: Mingchen
-  - family-names: Pan
-    given-names: Jiayi
-  - family-names: Song
-    given-names: Yueqi
-  - family-names: Li
-    given-names: Bowen
-  - family-names: Singh
-    given-names: Jaskirat
-  - family-names: Tran
-    given-names: Hoang H.
-  - family-names: Li
-    given-names: Fuqiang
-  - family-names: Ma
-    given-names: Ren
-  - family-names: Zheng
-    given-names: Mingzhang
-  - family-names: Qian
-    given-names: Bill
-  - family-names: Shao
-    given-names: Yanjun
-  - family-names: Muennighoff
-    given-names: Niklas
-  - family-names: Zhang
-    given-names: Yizhe
-  - family-names: Hui
-    given-names: Binyuan
-  - family-names: Lin
-    given-names: Junyang
-  - family-names: Brennan
-    given-names: Robert
-  - family-names: Peng
-    given-names: Hao
-  - family-names: Ji
-    given-names: Heng
-  - family-names: Neubig
-    given-names: Graham
-year: 2024
-doi: "10.48550/arXiv.2407.16741"
-url: "https://arxiv.org/abs/2407.16741"

Development.md

@@ -100,7 +100,7 @@ poetry run pytest ./tests/unit/test_*.py
 To reduce build time (e.g., if no changes were made to the client-runtime component), you can use an existing Docker container image by
 setting the SANDBOX_RUNTIME_CONTAINER_IMAGE environment variable to the desired Docker image.
 
-Example: `export SANDBOX_RUNTIME_CONTAINER_IMAGE=ghcr.io/all-hands-ai/runtime:0.28-nikolaik`
+Example: `export SANDBOX_RUNTIME_CONTAINER_IMAGE=ghcr.io/all-hands-ai/runtime:0.25-nikolaik`
 
 ## Develop inside Docker container
 

ISSUE_TRIAGE.md

@@ -2,13 +2,12 @@
 These are the procedures and guidelines on how issues are triaged in this repo by the maintainers.
 
 ## General
-* All issues must be tagged with **enhancement**, **bug** or **troubleshooting/help**.
-* Issues may be tagged with what it relates to (**agent quality**, **frontend**, **resolver**, etc.).
+* Most issues must be tagged with **enhancement** or **bug**.
+* Issues may be tagged with what it relates to (**backend**, **frontend**, **agent quality**, etc.).
 
 ## Severity
 * **Low**: Minor issues or affecting single user.
 * **Medium**: Affecting multiple users.
-* **High**: High visibility issues or affecting many users.
 * **Critical**: Affecting all users or potential security issues.
 
 ## Effort
@@ -19,14 +18,8 @@ These are the procedures and guidelines on how issues are triaged in this repo b
 
 ## Not Enough Information
 * User is asked to provide more information (logs, how to reproduce, etc.) when the issue is not clear.
-* If an issue is unclear and the author does not provide more information or respond to a request,
-the issue may be closed as **not planned** (Usually after a week).
+* If an issue is unclear and the author does not provide more information or respond to a request, the issue may be closed as **not planned** (Usually after a week).
 
 ## Multiple Requests/Fixes in One Issue
 * These issues will be narrowed down to one request/fix so the issue is more easily tracked and fixed.
 * Issues may be broken down into multiple issues if required.
-
-## Stale and Auto Closures
-* In order to keep a maintainable backlog, issues that have no activity within 30 days are automatically marked as **Stale**.
-* If issues marked as **Stale** continue to have no activity for 7 more days, they will automatically be closed as not planned.
-* Issues may be reopened by maintainers if deemed important.

Makefile

@@ -1,4 +1,4 @@
-SHELL=/usr/bin/env bash
+SHELL=/bin/bash
 # Makefile for OpenHands project
 
 # Variables
@@ -81,10 +81,10 @@ check-nodejs:
 	@if command -v node > /dev/null; then \
 		NODE_VERSION=$(shell node --version | sed -E 's/v//g'); \
 		IFS='.' read -r -a NODE_VERSION_ARRAY <<< "$$NODE_VERSION"; \
-		if [ "$${NODE_VERSION_ARRAY[0]}" -ge 22 ]; then \
+		if [ "$${NODE_VERSION_ARRAY[0]}" -ge 20 ]; then \
 			echo "$(BLUE)Node.js $$NODE_VERSION is already installed.$(RESET)"; \
 		else \
-			echo "$(RED)Node.js 22.x or later is required. Please install Node.js 22.x or later to continue.$(RESET)"; \
+			echo "$(RED)Node.js 20.x or later is required. Please install Node.js 20.x or later to continue.$(RESET)"; \
 			exit 1; \
 		fi; \
 	else \

README.md

@@ -43,17 +43,17 @@ See the [Running OpenHands](https://docs.all-hands.dev/modules/usage/installatio
 system requirements and more information.
 
 ```bash
-docker pull docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik
+docker pull docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik
 
 docker run -it --rm --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik \
     -e LOG_ALL_EVENTS=true \
     -v /var/run/docker.sock:/var/run/docker.sock \
     -v ~/.openhands-state:/.openhands-state \
     -p 3000:3000 \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app \
-    docker.all-hands.dev/all-hands-ai/openhands:0.28
+    docker.all-hands.dev/all-hands-ai/openhands:0.25
 ```
 
 You'll find OpenHands running at [http://localhost:3000](http://localhost:3000)!

build.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -e
 
 poetry build -v

config.template.toml

@@ -17,12 +17,6 @@
 #modal_api_token_id = ""
 #modal_api_token_secret = ""
 
-# API key for Daytona
-#daytona_api_key = ""
-
-# Daytona Target
-#daytona_target = ""
-
 # Base path for the workspace
 workspace_base = "./workspace"
 
@@ -95,11 +89,6 @@ workspace_base = "./workspace"
 # List of allowed file extensions for uploads
 #file_uploads_allowed_extensions = [".*"]
 
-# Whether to enable the default LLM summarizing condenser when no condenser is specified in config
-# When true, a LLMSummarizingCondenserConfig will be used as the default condenser
-# When false, a NoOpCondenserConfig (no summarization) will be used
-#enable_default_condenser = true
-
 #################################### LLM #####################################
 # Configuration for LLM models (group name starts with 'llm')
 # use 'llm' for the default LLM config
@@ -245,10 +234,6 @@ codeact_enable_jupyter = true
 # List of microagents to disable
 #disabled_microagents = []
 
-# Whether history should be truncated to continue the session when hitting LLM context
-# length limit
-enable_history_truncation = true
-
 [agent.RepoExplorerAgent]
 # Example: use a cheaper model for RepoExplorerAgent to reduce cost, especially
 # useful when an agent doesn't demand high quality but uses a lot of tokens
@@ -299,69 +284,6 @@ llm_config = 'gpt3'
 # The security analyzer to use (For Headless / CLI only -  In Web this is overridden by Session Init)
 #security_analyzer = ""
 
-#################################### Condenser #################################
-# Condensers control how conversation history is managed and compressed when
-# the context grows too large. Each agent uses one condenser configuration.
-##############################################################################
-[condenser]
-# The type of condenser to use. Available options:
-# - "noop": No condensing, keeps full history (default)
-# - "observation_masking": Keeps full event structure but masks older observations
-# - "recent": Keeps only recent events and discards older ones
-# - "llm": Uses an LLM to summarize conversation history
-# - "amortized": Intelligently forgets older events while preserving important context
-# - "llm_attention": Uses an LLM to prioritize most relevant context
-type = "noop"
-
-# Examples for each condenser type (uncomment and modify as needed):
-
-# 1. NoOp Condenser - No additional settings needed
-#type = "noop"
-
-# 2. Observation Masking Condenser
-#type = "observation_masking"
-# Number of most-recent events where observations will not be masked
-#attention_window = 100
-
-# 3. Recent Events Condenser
-#type = "recent"
-# Number of initial events to always keep (typically includes task description)
-#keep_first = 1
-# Maximum number of events to keep in history
-#max_events = 100
-
-# 4. LLM Summarizing Condenser
-#type = "llm"
-# Reference to an LLM config to use for summarization
-#llm_config = "condenser"
-# Number of initial events to always keep (typically includes task description)
-#keep_first = 1
-# Maximum size of history before triggering summarization
-#max_size = 100
-
-# 5. Amortized Forgetting Condenser
-#type = "amortized"
-# Number of initial events to always keep (typically includes task description)
-#keep_first = 1
-# Maximum size of history before triggering forgetting
-#max_size = 100
-
-# 6. LLM Attention Condenser
-#type = "llm_attention"
-# Reference to an LLM config to use for attention scoring
-#llm_config = "condenser"
-# Number of initial events to always keep (typically includes task description)
-#keep_first = 1
-# Maximum size of history before triggering attention mechanism
-#max_size = 100
-
-# Example of a custom LLM configuration for condensers that require an LLM
-# If not provided, it falls back to the default LLM
-#[llm.condenser]
-#model = "gpt-4o"
-#temperature = 0.1
-#max_tokens = 1024
-
 #################################### Eval ####################################
 # Configuration for the evaluation, please refer to the specific evaluation
 # plugin for the available options

containers/build.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 # Initialize variables with default values

containers/dev/compose.yml

@@ -11,7 +11,7 @@ services:
       - BACKEND_HOST=${BACKEND_HOST:-"0.0.0.0"}
       - SANDBOX_API_HOSTNAME=host.docker.internal
       #
-      - SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-ghcr.io/all-hands-ai/runtime:0.28-nikolaik}
+      - SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-ghcr.io/all-hands-ai/runtime:0.25-nikolaik}
       - SANDBOX_USER_ID=${SANDBOX_USER_ID:-1234}
       - WORKSPACE_MOUNT_PATH=${WORKSPACE_BASE:-$PWD/workspace}
     ports:

containers/dev/dev.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -o pipefail
 
 function get_docker() {

docker-compose.yml

@@ -7,7 +7,7 @@ services:
     image: openhands:latest
     container_name: openhands-app-${DATE:-}
     environment:
-      - SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik}
+      - SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik}
       #- SANDBOX_USER_ID=${SANDBOX_USER_ID:-1234} # enable this only if you want a specific non-root sandbox user but you will have to manually adjust permissions of openhands-state for this user
       - WORKSPACE_MOUNT_PATH=${WORKSPACE_BASE:-$PWD/workspace}
     ports:

docs/DOC_STYLE_GUIDE.md

@@ -46,11 +46,3 @@ docker run -it \
     -e THAT=that
     ...
 ```
-
-### Referring to UI Elements
-
-When referencing UI elements, use ``.
-
-Example:
-1. Toggle the `Advanced` option
-2. Enter your model in the `Custom Model` textbox.

docs/i18n/fr/docusaurus-plugin-content-docs/current/usage/custom_sandbox_guide.md

@@ -42,11 +42,10 @@ Créez un fichier ```config.toml``` dans le répertoire OpenHands et entrez ces
 [core]
 workspace_base="./workspace"
 run_as_openhands=true
-[sandbox]
-base_container_image="image_personnalisée"
+sandbox_base_container_image="image_personnalisée"
 ```
 
-> Assurez-vous que ```base_container_image``` est défini sur le nom de votre image personnalisée précédente.
+> Assurez-vous que ```sandbox_base_container_image``` est défini sur le nom de votre image personnalisée précédente.
 
 ## Exécution
 
@@ -83,15 +82,14 @@ dockerfile_content = (
 ## Dépannage / Erreurs
 
 ### Erreur: ```useradd: UID 1000 est non unique```
-Si vous voyez cette erreur dans la sortie de la console, il s'agit du fait que OpenHands essaie de créer le utilisateur openhands dans le sandbox avec un ID d'utilisateur de 1000, cependant cet ID d'utilisateur est déjà utilisé dans l'image (pour une raison inconnue). Pour résoudre ce problème, changez la valeur du champ user_id dans le fichier config.toml en une valeur différente:
+Si vous voyez cette erreur dans la sortie de la console, il s'agit du fait que OpenHands essaie de créer le utilisateur openhands dans le sandbox avec un ID d'utilisateur de 1000, cependant cet ID d'utilisateur est déjà utilisé dans l'image (pour une raison inconnue). Pour résoudre ce problème, changez la valeur du champ sandbox_user_id dans le fichier config.toml en une valeur différente:
 
 ```toml
 [core]
 workspace_base="./workspace"
 run_as_openhands=true
-[sandbox]
-base_container_image="image_personnalisée"
-user_id="1001"
+sandbox_base_container_image="image_personnalisée"
+sandbox_user_id="1001"
 ```
 
 ### Erreurs de port d'utilisation

docs/i18n/fr/docusaurus-plugin-content-docs/current/usage/how-to/cli-mode.md

@@ -52,7 +52,7 @@ LLM_API_KEY="sk_test_12345"
 ```bash
 docker run -it \
     --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik \
     -e SANDBOX_USER_ID=$(id -u) \
     -e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
     -e LLM_API_KEY=$LLM_API_KEY \
@@ -61,7 +61,7 @@ docker run -it \
     -v /var/run/docker.sock:/var/run/docker.sock \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app-$(date +%Y%m%d%H%M%S) \
-    docker.all-hands.dev/all-hands-ai/openhands:0.28 \
+    docker.all-hands.dev/all-hands-ai/openhands:0.25 \
     python -m openhands.core.cli
 ```
 

docs/i18n/fr/docusaurus-plugin-content-docs/current/usage/how-to/custom-sandbox-guide.md

@@ -44,13 +44,12 @@ Tout d'abord, assurez-vous de pouvoir exécuter OpenHands en suivant les instruc
 
 ### Spécifier l'Image de Base du Sandbox
 
-Dans le fichier `config.toml` dans le répertoire OpenHands, définissez `base_container_image` sur l'image que vous souhaitez utiliser. Cela peut être une image que vous avez déjà extraite ou une que vous avez construite :
+Dans le fichier `config.toml` dans le répertoire OpenHands, définissez `sandbox_base_container_image` sur l'image que vous souhaitez utiliser. Cela peut être une image que vous avez déjà extraite ou une que vous avez construite :
 
 ```bash
 [core]
 ...
-[sandbox]
-base_container_image="custom-image"
+sandbox_base_container_image="custom-image"
 ```
 
 ### Exécution

docs/i18n/fr/docusaurus-plugin-content-docs/current/usage/how-to/headless-mode.md

@@ -46,7 +46,7 @@ LLM_API_KEY="sk_test_12345"
 ```bash
 docker run -it \
     --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik \
     -e SANDBOX_USER_ID=$(id -u) \
     -e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
     -e LLM_API_KEY=$LLM_API_KEY \
@@ -56,6 +56,6 @@ docker run -it \
     -v /var/run/docker.sock:/var/run/docker.sock \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app-$(date +%Y%m%d%H%M%S) \
-    docker.all-hands.dev/all-hands-ai/openhands:0.28 \
+    docker.all-hands.dev/all-hands-ai/openhands:0.25 \
     python -m openhands.core.main -t "write a bash script that prints hi" --no-auto-continue
 ```

docs/i18n/fr/docusaurus-plugin-content-docs/current/usage/installation.mdx

@@ -13,16 +13,16 @@
 La façon la plus simple d'exécuter OpenHands est avec Docker.
 
 ```bash
-docker pull docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik
+docker pull docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik
 
 docker run -it --rm --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik \
     -e LOG_ALL_EVENTS=true \
     -v /var/run/docker.sock:/var/run/docker.sock \
     -p 3000:3000 \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app \
-    docker.all-hands.dev/all-hands-ai/openhands:0.28
+    docker.all-hands.dev/all-hands-ai/openhands:0.25
 ```
 
 Vous pouvez également exécuter OpenHands en mode [headless scriptable](https://docs.all-hands.dev/modules/usage/how-to/headless-mode), en tant que [CLI interactive](https://docs.all-hands.dev/modules/usage/how-to/cli-mode), ou en utilisant l'[Action GitHub OpenHands](https://docs.all-hands.dev/modules/usage/how-to/github-action).

docs/i18n/fr/docusaurus-plugin-content-docs/current/usage/runtimes.md

@@ -13,7 +13,7 @@ C'est le Runtime par défaut qui est utilisé lorsque vous démarrez OpenHands.
 
 ```
 docker run # ...
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik \
     -v /var/run/docker.sock:/var/run/docker.sock \
     # ...
 ```

docs/i18n/zh-Hans/docusaurus-plugin-content-docs/current/usage/custom_sandbox_guide.md

@@ -58,11 +58,10 @@ docker build -t custom_image .
 [core]
 workspace_base="./workspace"
 run_as_openhands=true
-[sandbox]
-base_container_image="custom_image"
+sandbox_base_container_image="custom_image"
 ```
 
-对于 `base_container_image` 的值, 您可以选择以下任意一项：
+对于 `sandbox_base_container_image` 的值, 您可以选择以下任意一项：
 1. 在上一步中您构建的自定义镜像的名称（例如，`“custom_image”`）
 2. 从 Docker Hub 拉取的镜像（例如，`“node:20”`，如果你需要一个预装 `Node.js` 的沙箱环境）
 
@@ -84,15 +83,14 @@ base_container_image="custom_image"
 
 ### 错误：```useradd: UID 1000 is not unique```
 
-如果在控制台输出中看到此错误，说明 OpenHands 尝试在沙箱中以 UID 1000 创建 openhands 用户，但该 UID 已经被映像中的其他部分使用（不知何故）。要解决这个问题，请更改 config.toml 文件中的 user_id 字段为不同的值：
+如果在控制台输出中看到此错误，说明 OpenHands 尝试在沙箱中以 UID 1000 创建 openhands 用户，但该 UID 已经被映像中的其他部分使用（不知何故）。要解决这个问题，请更改 config.toml 文件中的 sandbox_user_id 字段为不同的值：
 
 ```
 [core]
 workspace_base="./workspace"
 run_as_openhands=true
-[sandbox]
-base_container_image="custom_image"
-user_id="1001"
+sandbox_base_container_image="custom_image"
+sandbox_user_id="1001"
 ```
 
 ### 端口使用错误

docs/i18n/zh-Hans/docusaurus-plugin-content-docs/current/usage/how-to/cli-mode.md

@@ -50,7 +50,7 @@ LLM_API_KEY="sk_test_12345"
 ```bash
 docker run -it \
     --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik \
     -e SANDBOX_USER_ID=$(id -u) \
     -e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
     -e LLM_API_KEY=$LLM_API_KEY \
@@ -59,7 +59,7 @@ docker run -it \
     -v /var/run/docker.sock:/var/run/docker.sock \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app-$(date +%Y%m%d%H%M%S) \
-    docker.all-hands.dev/all-hands-ai/openhands:0.28 \
+    docker.all-hands.dev/all-hands-ai/openhands:0.25 \
     python -m openhands.core.cli
 ```
 

docs/i18n/zh-Hans/docusaurus-plugin-content-docs/current/usage/how-to/custom-sandbox-guide.md

@@ -42,13 +42,12 @@ docker build -t custom-image .
 
 ### 指定基础沙箱镜像
 
-在 OpenHands 目录中的 `config.toml` 文件中，将 `base_container_image` 设置为你要使用的镜像。这可以是你已经拉取的镜像或你构建的镜像：
+在 OpenHands 目录中的 `config.toml` 文件中，将 `sandbox_base_container_image` 设置为你要使用的镜像。这可以是你已经拉取的镜像或你构建的镜像：
 
 ```bash
 [core]
 ...
-[sandbox]
-base_container_image="custom-image"
+sandbox_base_container_image="custom-image"
 ```
 
 ### 运行

docs/i18n/zh-Hans/docusaurus-plugin-content-docs/current/usage/how-to/headless-mode.md

@@ -47,7 +47,7 @@ LLM_API_KEY="sk_test_12345"
 ```bash
 docker run -it \
     --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik \
     -e SANDBOX_USER_ID=$(id -u) \
     -e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
     -e LLM_API_KEY=$LLM_API_KEY \
@@ -57,6 +57,6 @@ docker run -it \
     -v /var/run/docker.sock:/var/run/docker.sock \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app-$(date +%Y%m%d%H%M%S) \
-    docker.all-hands.dev/all-hands-ai/openhands:0.28 \
+    docker.all-hands.dev/all-hands-ai/openhands:0.25 \
     python -m openhands.core.main -t "write a bash script that prints hi" --no-auto-continue
 ```

docs/i18n/zh-Hans/docusaurus-plugin-content-docs/current/usage/installation.mdx

@@ -11,16 +11,16 @@
 在 Docker 中运行 OpenHands 是最简单的方式。
 
 ```bash
-docker pull docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik
+docker pull docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik
 
 docker run -it --rm --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik \
     -e LOG_ALL_EVENTS=true \
     -v /var/run/docker.sock:/var/run/docker.sock \
     -p 3000:3000 \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app \
-    docker.all-hands.dev/all-hands-ai/openhands:0.28
+    docker.all-hands.dev/all-hands-ai/openhands:0.25
 ```
 
 你也可以在可脚本化的[无头模式](https://docs.all-hands.dev/modules/usage/how-to/headless-mode)下运行 OpenHands，作为[交互式 CLI](https://docs.all-hands.dev/modules/usage/how-to/cli-mode)，或使用 [OpenHands GitHub Action](https://docs.all-hands.dev/modules/usage/how-to/github-action)。

docs/i18n/zh-Hans/docusaurus-plugin-content-docs/current/usage/runtimes.md

@@ -11,7 +11,7 @@
 
 ```
 docker run # ...
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik \
     -v /var/run/docker.sock:/var/run/docker.sock \
     # ...
 ```

docs/modules/usage/configuration-options.md

@@ -340,11 +340,6 @@ The agent configuration options are defined in the `[agent]` and `[agent.<agent_
   - Default: `false`
   - Description: Whether Jupyter is enabled in the action space
 
-- `enable_history_truncation`
-  - Type: `bool`
-  - Default: `true`
-  - Description: Whether history should be truncated to continue the session when hitting LLM context length limit
-
 ### Microagent Usage
 - `enable_prompt_extensions`
   - Type: `bool`
@@ -385,11 +380,6 @@ To use these with the docker command, pass in `-e SANDBOX_<option>`. Example: `-
   - Default: `false`
   - Description: Use host network
 
-- `runtime_binding_address`
-  - Type: `str`
-  - Default: `0.0.0.0`
-  - Description: The binding address for the runtime ports.  It specifies which network interface on the host machine Docker should bind the runtime ports to.
-
 ### Linting and Plugins
 - `enable_auto_lint`
   - Type: `bool`

docs/modules/usage/how-to/cli-mode.md

@@ -35,7 +35,7 @@ To run OpenHands in CLI mode with Docker:
 ```bash
 docker run -it \
     --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik \
     -e SANDBOX_USER_ID=$(id -u) \
     -e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
     -e LLM_API_KEY=$LLM_API_KEY \
@@ -45,7 +45,7 @@ docker run -it \
     -v ~/.openhands-state:/.openhands-state \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app-$(date +%Y%m%d%H%M%S) \
-    docker.all-hands.dev/all-hands-ai/openhands:0.28 \
+    docker.all-hands.dev/all-hands-ai/openhands:0.25 \
     python -m openhands.core.cli
 ```
 

docs/modules/usage/how-to/custom-sandbox-guide.md

@@ -60,14 +60,13 @@ First, ensure you can run OpenHands by following the instructions in [Developmen
 
 ### Specify the Base Sandbox Image
 
-In the `config.toml` file within the OpenHands directory, set the `base_container_image` to the image you want to use.
+In the `config.toml` file within the OpenHands directory, set the `sandbox_base_container_image` to the image you want to use.
 This can be an image you’ve already pulled or one you’ve built:
 
 ```bash
 [core]
 ...
-[sandbox]
-base_container_image="custom-image"
+sandbox_base_container_image="custom-image"
 ```
 
 ### Additional Configuration Options

docs/modules/usage/how-to/gui-mode.md

@@ -1,6 +1,9 @@
 # GUI Mode
 
-OpenHands provides a Graphical User Interface (GUI) mode for interacting with the AI assistant.
+## Introduction
+
+OpenHands provides a user-friendly Graphical User Interface (GUI) mode for interacting with the AI assistant.
+This mode offers an intuitive way to set up the environment, manage settings, and communicate with the AI.
 
 ## Installation and Setup
 
@@ -11,95 +14,104 @@ OpenHands provides a Graphical User Interface (GUI) mode for interacting with th
 
 ### Initial Setup
 
-1. Upon first launch, you'll see a settings page.
-2. Select an `LLM Provider` and `LLM Model` from the dropdown menus. If the required model does not exist in the list,
-   toggle `Advanced` options and enter it with the correct prefix in the `Custom Model` text box.
+1. Upon first launch, you'll see a settings modal.
+2. Select an `LLM Provider` and `LLM Model` from the dropdown menus.
 3. Enter the corresponding `API Key` for your chosen provider.
-4. Click `Save Changes` to apply the settings.
+4. Click "Save" to apply the settings.
 
 ### GitHub Token Setup
 
 OpenHands automatically exports a `GITHUB_TOKEN` to the shell environment if it is available. This can happen in two ways:
 
-- **Local Installation**: The user directly inputs their GitHub token.
-<details>
-  <summary>Setting Up a GitHub Token</summary>
-  1. **Generate a Personal Access Token (PAT)**:
-   - On GitHub, go to Settings > Developer Settings > Personal Access Tokens > Tokens (classic).
-   - Click `Generate new token (classic)`.
+- **Locally (OSS)**: The user directly inputs their GitHub token.
+- **Online (SaaS)**: The token is obtained through GitHub OAuth authentication.
+
+#### Setting Up a Local GitHub Token
+
+1. **Generate a Personal Access Token (PAT)**:
+   - Go to GitHub Settings > Developer Settings > Personal Access Tokens > Tokens (classic).
+   - Click "Generate new token (classic)".
    - Required scopes:
      - `repo` (Full control of private repositories)
-  2. **Enter Token in OpenHands**:
-   - Click the Settings button (gear icon).
-   - Navigate to the `GitHub Settings` section.
-   - Paste your token in the `GitHub Token` field.
-   - Click `Save Changes` to apply the changes.
-</details>
+     - `workflow` (Update GitHub Action workflows)
+     - `read:org` (Read organization data)
 
-<details>
-  <summary>Organizational Token Policies</summary>
+2. **Enter Token in OpenHands**:
+   - Click the Settings button (gear icon) in the top right.
+   - Navigate to the "GitHub" section.
+   - Paste your token in the "GitHub Token" field.
+   - Click "Save" to apply the changes.
 
-  If you're working with organizational repositories, additional setup may be required:
+#### Organizational Token Policies
 
-  1. **Check Organization Requirements**:
+If you're working with organizational repositories, additional setup may be required:
+
+1. **Check Organization Requirements**:
    - Organization admins may enforce specific token policies.
    - Some organizations require tokens to be created with SSO enabled.
    - Review your organization's [token policy settings](https://docs.github.com/en/organizations/managing-programmatic-access-to-your-organization/setting-a-personal-access-token-policy-for-your-organization).
-  2. **Verify Organization Access**:
+
+2. **Verify Organization Access**:
    - Go to your token settings on GitHub.
-   - Look for the organization under `Organization access`.
-   - If required, click `Enable SSO` next to your organization.
+   - Look for the organization under "Organization access".
+   - If required, click "Enable SSO" next to your organization.
    - Complete the SSO authorization process.
-</details>
 
-<details>
-  <summary>Troubleshooting</summary>
+#### OAuth Authentication (Online Mode)
 
-  Common issues and solutions:
+When using OpenHands in online mode, the GitHub OAuth flow:
 
-  - **Token Not Recognized**:
-     - Ensure the token is properly saved in settings.
-     - Check that the token hasn't expired.
-     - Verify the token has the required scopes.
-     - Try regenerating the token.
-
-  - **Organization Access Denied**:
-     - Check if SSO is required but not enabled.
-     - Verify organization membership.
-     - Contact organization admin if token policies are blocking access.
-
-  - **Verifying Token Works**:
-     - The app will show a green checkmark if the token is valid.
-     - Try accessing a repository to confirm permissions.
-     - Check the browser console for any error messages.
-</details>
-
-- **OpenHands Cloud**: The token is obtained through GitHub OAuth authentication.
-
-<details>
-  <summary>OAuth Authentication</summary>
-
-  When using OpenHands Cloud, the GitHub OAuth flow requests the following permissions:
+1. Requests the following permissions:
    - Repository access (read/write)
    - Workflow management
    - Organization read access
 
-  To authenticate OpenHands:
-   - Click `Sign in with GitHub` when prompted.
+2. Authentication steps:
+   - Click "Sign in with GitHub" when prompted.
    - Review the requested permissions.
    - Authorize OpenHands to access your GitHub account.
    - If using an organization, authorize organization access if prompted.
-</details>
+
+#### Troubleshooting
+
+Common issues and solutions:
+
+- **Token Not Recognized**:
+   - Ensure the token is properly saved in settings.
+   - Check that the token hasn't expired.
+   - Verify the token has the required scopes.
+   - Try regenerating the token.
+
+- **Organization Access Denied**:
+   - Check if SSO is required but not enabled.
+   - Verify organization membership.
+   - Contact organization admin if token policies are blocking access.
+
+- **Verifying Token Works**:
+   - The app will show a green checkmark if the token is valid.
+   - Try accessing a repository to confirm permissions.
+   - Check the browser console for any error messages.
+   - Use the "Test Connection" button in settings if available.
 
 ### Advanced Settings
 
-1. Inside the Settings page, toggle `Advanced` options to access additional settings.
+1. Toggle `Advanced Options` to access additional settings.
 2. Use the `Custom Model` text box to manually enter a model if it's not in the list.
 3. Specify a `Base URL` if required by your LLM provider.
 
+### Main Interface
+
+The main interface consists of several key components:
+
+- **Chat Window**: The central area where you can view the conversation history with the AI assistant.
+- **Input Box**: Located at the bottom of the screen, use this to type your messages or commands to the AI.
+- **Send Button**: Click this to send your message to the AI.
+- **Settings Button**: A gear icon that opens the settings modal, allowing you to adjust your configuration at any time.
+- **Workspace Panel**: Displays the files and folders in your workspace, allowing you to navigate and view files, or the agent's past commands or web browsing history.
+
 ### Interacting with the AI
 
-1. Type your prompt in the input box.
+1. Type your question, request, or task description in the input box.
 2. Click the send button or press Enter to submit your message.
 3. The AI will process your input and provide a response in the chat window.
 4. You can continue the conversation by asking follow-up questions or providing additional information.

docs/modules/usage/how-to/headless-mode.md

@@ -32,7 +32,7 @@ To run OpenHands in Headless mode with Docker:
 ```bash
 docker run -it \
     --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik \
     -e SANDBOX_USER_ID=$(id -u) \
     -e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
     -e LLM_API_KEY=$LLM_API_KEY \
@@ -43,7 +43,7 @@ docker run -it \
     -v ~/.openhands-state:/.openhands-state \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app-$(date +%Y%m%d%H%M%S) \
-    docker.all-hands.dev/all-hands-ai/openhands:0.28 \
+    docker.all-hands.dev/all-hands-ai/openhands:0.25 \
     python -m openhands.core.main -t "write a bash script that prints hi"
 ```
 

docs/modules/usage/installation.mdx

@@ -12,8 +12,7 @@ A system with a modern processor and a minimum of **4GB RAM** is recommended to
 
 <details>
   <summary>MacOS</summary>
-
-  **Docker Desktop**
+  ### Docker Desktop
 
   1. [Install Docker Desktop on Mac](https://docs.docker.com/desktop/setup/install/mac-install).
   2. Open Docker Desktop, go to `Settings > Advanced` and ensure `Allow the default Docker socket to be used` is enabled.
@@ -26,7 +25,7 @@ A system with a modern processor and a minimum of **4GB RAM** is recommended to
   Tested with Ubuntu 22.04.
   :::
 
-  **Docker Desktop**
+  ### Docker Desktop
 
   1. [Install Docker Desktop on Linux](https://docs.docker.com/desktop/setup/install/linux/).
 
@@ -34,13 +33,12 @@ A system with a modern processor and a minimum of **4GB RAM** is recommended to
 
 <details>
   <summary>Windows</summary>
-
-  **WSL**
+  ### WSL
 
   1. [Install WSL](https://learn.microsoft.com/en-us/windows/wsl/install).
   2. Run `wsl --version` in powershell and confirm `Default Version: 2`.
 
-  **Docker Desktop**
+  ### Docker Desktop
 
   1. [Install Docker Desktop on Windows](https://docs.docker.com/desktop/setup/install/windows-install).
   2. Open Docker Desktop, go to `Settings` and confirm the following:
@@ -58,17 +56,17 @@ A system with a modern processor and a minimum of **4GB RAM** is recommended to
 The easiest way to run OpenHands is in Docker.
 
 ```bash
-docker pull docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik
+docker pull docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik
 
 docker run -it --rm --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik \
     -e LOG_ALL_EVENTS=true \
     -v /var/run/docker.sock:/var/run/docker.sock \
     -v ~/.openhands-state:/.openhands-state \
     -p 3000:3000 \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app \
-    docker.all-hands.dev/all-hands-ai/openhands:0.28
+    docker.all-hands.dev/all-hands-ai/openhands:0.25
 ```
 
 You'll find OpenHands running at http://localhost:3000!
@@ -80,22 +78,24 @@ or run it on tagged issues with [a github action](https://docs.all-hands.dev/mod
 
 ## Setup
 
-Upon launching OpenHands, you'll see a Settings page. You **must** select an `LLM Provider` and `LLM Model` and enter a corresponding `API Key`.
+Upon launching OpenHands, you'll see a settings modal. You **must** select an `LLM Provider` and `LLM Model` and enter a corresponding `API Key`.
 These can be changed at any time by selecting the `Settings` button (gear icon) in the UI.
 
-If the required model does not exist in the list, you can toggle `Advanced` options and manually enter it with the correct prefix
+If the required `LLM Model` does not exist in the list, you can toggle `Advanced Options` and manually enter it with the correct prefix
 in the `Custom Model` text box.
-The `Advanced` options also allow you to specify a `Base URL` if required.
+The `Advanced Options` also allow you to specify a `Base URL` if required.
 
-Now you're ready to [get started with OpenHands](./getting-started).
+<div style={{ display: 'flex', justifyContent: 'center', gap: '20px' }}>
+  <img src="/img/settings-screenshot.png" alt="settings-modal" width="340" />
+  <img src="/img/settings-advanced.png" alt="settings-modal" width="335" />
+</div>
 
 ## Versions
 
-The [docker command above](./installation#start-the-app) pulls the most recent stable release of OpenHands. You have other options as well:
-- For a specific release, replace $VERSION in `openhands:$VERSION` and `runtime:$VERSION`, with the version number.
-We use SemVer so `0.9` will automatically point to the latest `0.9.x` release, and `0` will point to the latest `0.x.x` release.
-- For the most up-to-date development version, replace $VERSION in `openhands:$VERSION` and `runtime:$VERSION`, with `main`.
-This version is unstable and is recommended for testing or development purposes only.
+The command above pulls the most recent stable release of OpenHands. You have other options as well:
+- For a specific release, use `docker.all-hands.dev/all-hands-ai/openhands:$VERSION`, replacing $VERSION with the version number.
+- We use semver, and release major, minor, and patch tags. So `0.9` will automatically point to the latest `0.9.x` release, and `0` will point to the latest `0.x.x` release.
+- For the most up-to-date development version, you can use `docker.all-hands.dev/all-hands-ai/openhands:main`. This version is unstable and is recommended for testing or development purposes only.
 
 You can choose the tag that best suits your needs based on stability requirements and desired features.
 

docs/modules/usage/llms/azure-llms.md

@@ -25,7 +25,7 @@ You will need your ChatGPT deployment name which can be found on the deployments
 <deployment-name> below.
 :::
 
-1. Enable `Advanced` options
+1. Enable `Advanced Options`
 2. Set the following:
    - `Custom Model` to azure/<deployment-name>
    - `Base URL` to your Azure API Base URL (e.g. `https://example-endpoint.openai.azure.com`)

docs/modules/usage/llms/google-llms.md

@@ -10,7 +10,7 @@ OpenHands uses LiteLLM to make calls to Google's chat models. You can find their
 When running OpenHands, you'll need to set the following in the OpenHands UI through the Settings:
 - `LLM Provider` to `Gemini`
 - `LLM Model` to the model you will be using.
-If the model is not in the list, toggle `Advanced` options, and enter it in `Custom Model` (e.g. gemini/<model-name> like `gemini/gemini-1.5-pro`).
+If the model is not in the list, toggle `Advanced Options`, and enter it in `Custom Model` (e.g. gemini/<model-name> like `gemini/gemini-1.5-pro`).
 - `API Key` to your Gemini API key
 
 ## VertexAI - Google Cloud Platform Configs
@@ -27,4 +27,4 @@ VERTEXAI_LOCATION="<your-gcp-location>"
 Then set the following in the OpenHands UI through the Settings:
 - `LLM Provider` to `VertexAI`
 - `LLM Model` to the model you will be using.
-If the model is not in the list, toggle `Advanced` options, and enter it in `Custom Model` (e.g. vertex_ai/&lt;model-name&gt;).
+If the model is not in the list, toggle `Advanced Options`, and enter it in `Custom Model` (e.g. vertex_ai/&lt;model-name&gt;).

docs/modules/usage/llms/groq.md

@@ -8,7 +8,7 @@ When running OpenHands, you'll need to set the following in the OpenHands UI thr
 - `LLM Provider` to `Groq`
 - `LLM Model` to the model you will be using. [Visit here to see the list of
 models that Groq hosts](https://console.groq.com/docs/models). If the model is not in the list, toggle
-`Advanced` options, and enter it in `Custom Model` (e.g. groq/<model-name> like `groq/llama3-70b-8192`).
+`Advanced Options`, and enter it in `Custom Model` (e.g. groq/<model-name> like `groq/llama3-70b-8192`).
 - `API key` to your Groq API key. To find or create your Groq API Key, [see here](https://console.groq.com/keys).
 
 
@@ -17,7 +17,7 @@ models that Groq hosts](https://console.groq.com/docs/models). If the model is n
 
 The Groq endpoint for chat completion is [mostly OpenAI-compatible](https://console.groq.com/docs/openai). Therefore, you can access Groq models as you
 would access any OpenAI-compatible endpoint. In the OpenHands UI through the Settings:
-1. Enable `Advanced` options
+1. Enable `Advanced Options`
 2. Set the following:
    - `Custom Model` to the prefix `openai/` + the model you will be using (e.g. `openai/llama3-70b-8192`)
    - `Base URL` to `https://api.groq.com/openai/v1`

docs/modules/usage/llms/litellm-proxy.md

@@ -8,7 +8,7 @@ To use LiteLLM proxy with OpenHands, you need to:
 
 1. Set up a LiteLLM proxy server (see [LiteLLM documentation](https://docs.litellm.ai/docs/proxy/quick_start))
 2. When running OpenHands, you'll need to set the following in the OpenHands UI through the Settings:
-  * Enable `Advanced` options
+  * Enable `Advanced Options`
   * `Custom Model` to the prefix `litellm_proxy/` + the model you will be using (e.g. `litellm_proxy/anthropic.claude-3-5-sonnet-20241022-v2:0`)
   * `Base URL` to your LiteLLM proxy URL (e.g. `https://your-litellm-proxy.com`)
   * `API Key` to your LiteLLM proxy API key

docs/modules/usage/llms/llms.md

@@ -38,7 +38,7 @@ The following can be set in the OpenHands UI through the Settings:
 - `LLM Provider`
 - `LLM Model`
 - `API Key`
-- `Base URL` (through `Advanced` settings)
+- `Base URL` (through `Advanced Settings`)
 
 There are some settings that may be necessary for some LLMs/providers that cannot be set through the UI. Instead, these
 can be set through environment variables passed to the [docker run command](/modules/usage/installation#start-the-app)

docs/modules/usage/llms/openai-llms.md

@@ -8,7 +8,7 @@ When running OpenHands, you'll need to set the following in the OpenHands UI thr
 * `LLM Provider` to `OpenAI`
 * `LLM Model` to the model you will be using.
 [Visit here to see a full list of OpenAI models that LiteLLM supports.](https://docs.litellm.ai/docs/providers/openai#openai-chat-completion-models)
-If the model is not in the list, toggle `Advanced` options, and enter it in `Custom Model` (e.g. openai/<model-name> like `openai/gpt-4o`).
+If the model is not in the list, toggle `Advanced Options`, and enter it in `Custom Model` (e.g. openai/<model-name> like `openai/gpt-4o`).
 * `API Key` to your OpenAI API key. To find or create your OpenAI Project API Key, [see here](https://platform.openai.com/api-keys).
 
 ## Using OpenAI-Compatible Endpoints
@@ -18,7 +18,7 @@ Just as for OpenAI Chat completions, we use LiteLLM for OpenAI-compatible endpoi
 ## Using an OpenAI Proxy
 
 If you're using an OpenAI proxy, in the OpenHands UI through the Settings:
-1. Enable `Advanced` options
+1. Enable `Advanced Options`
 2. Set the following:
    - `Custom Model` to openai/<model-name> (e.g. `openai/gpt-4o` or openai/<proxy-prefix>/<model-name>)
    - `Base URL` to the URL of your OpenAI proxy

docs/modules/usage/llms/openrouter.md

@@ -8,5 +8,5 @@ When running OpenHands, you'll need to set the following in the OpenHands UI thr
 * `LLM Provider` to `OpenRouter`
 * `LLM Model` to the model you will be using.
 [Visit here to see a full list of OpenRouter models](https://openrouter.ai/models).
-If the model is not in the list, toggle `Advanced` options, and enter it in `Custom Model` (e.g. openrouter/<model-name> like `openrouter/anthropic/claude-3.5-sonnet`).
+If the model is not in the list, toggle `Advanced Options`, and enter it in `Custom Model` (e.g. openrouter/<model-name> like `openrouter/anthropic/claude-3.5-sonnet`).
 * `API Key` to your OpenRouter API key.

docs/modules/usage/runtimes.md

@@ -16,7 +16,7 @@ some flags being passed to `docker run` that make this possible:
 
 ```
 docker run # ...
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.28-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.25-nikolaik \
     -v /var/run/docker.sock:/var/run/docker.sock \
     # ...
 ```
@@ -84,36 +84,3 @@ docker run # ...
     -e MODAL_API_TOKEN_ID="your-id" \
     -e MODAL_API_TOKEN_SECRET="your-secret" \
 ```
-
-## Daytona Runtime
-
-Another option is using [Daytona](https://www.daytona.io/) as a runtime provider:
-
-### Step 1: Retrieve Your Daytona API Key
-1. Visit the [Daytona Dashboard](https://app.daytona.io/dashboard/keys).
-2. Click **"Create Key"**.
-3. Enter a name for your key and confirm the creation.
-4. Once the key is generated, copy it.
-
-### Step 2: Set Your API Key as an Environment Variable
-Run the following command in your terminal, replacing `<your-api-key>` with the actual key you copied:
-```bash
-export DAYTONA_API_KEY="<your-api-key>"
-```
-
-This step ensures that OpenHands can authenticate with the Daytona platform when it runs.
-
-### Step 3: Run OpenHands Locally Using Docker
-To start the latest version of OpenHands on your machine, execute the following command in your terminal:
-```bash
-bash -i <(curl -sL https://get.daytona.io/openhands)
-```
-
-#### What This Command Does:
-- Downloads the latest OpenHands release script.
-- Runs the script in an interactive Bash session.
-- Automatically pulls and runs the OpenHands container using Docker.
-
-Once executed, OpenHands should be running locally and ready for use.
-
-For more details and manual initialization, view the entire [README.md](https://github.com/All-Hands-AI/OpenHands/blob/main/openhands/runtime/impl/daytona/README.md)

docs/package-lock.json

@@ -17,14 +17,14 @@
         "prism-react-renderer": "^2.4.1",
         "react": "^19.0.0",
         "react-dom": "^19.0.0",
-        "react-icons": "^5.5.0",
+        "react-icons": "^5.4.0",
         "react-use": "^17.6.0"
       },
       "devDependencies": {
         "@docusaurus/module-type-aliases": "^3.5.1",
         "@docusaurus/tsconfig": "^3.7.0",
         "@docusaurus/types": "^3.5.1",
-        "typescript": "~5.8.2"
+        "typescript": "~5.7.3"
       },
       "engines": {
         "node": ">=18.0"
@@ -15680,9 +15680,9 @@
       }
     },
     "node_modules/react-icons": {
-      "version": "5.5.0",
-      "resolved": "https://registry.npmjs.org/react-icons/-/react-icons-5.5.0.tgz",
-      "integrity": "sha512-MEFcXdkP3dLo8uumGI5xN3lDFNsRtrjbOEKDLD7yv76v4wpnEq2Lt2qeHaQOr34I/wPN3s3+N08WkQ+CW37Xiw==",
+      "version": "5.4.0",
+      "resolved": "https://registry.npmjs.org/react-icons/-/react-icons-5.4.0.tgz",
+      "integrity": "sha512-7eltJxgVt7X64oHh6wSWNwwbKTCtMfK35hcjvJS0yxEAhPM8oUKdS3+kqaW1vicIltw+kR2unHaa12S9pPALoQ==",
       "license": "MIT",
       "peerDependencies": {
         "react": "*"
@@ -17638,9 +17638,9 @@
       }
     },
     "node_modules/typescript": {
-      "version": "5.8.2",
-      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.8.2.tgz",
-      "integrity": "sha512-aJn6wq13/afZp/jT9QZmwEjDqqvSGp1VT5GVg+f/t6/oVyrgXM6BY1h9BRh/O5p3PlUPAe+WuiEZOmb/49RqoQ==",
+      "version": "5.7.3",
+      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.7.3.tgz",
+      "integrity": "sha512-84MVSjMEHP+FQRPy3pX9sTVV/INIex71s9TL2Gm5FG/WG1SqXeKyZ0k7/blY/4FdOzI12CBy1vGc4og/eus0fw==",
       "license": "Apache-2.0",
       "bin": {
         "tsc": "bin/tsc",

docs/package.json

@@ -24,14 +24,14 @@
     "prism-react-renderer": "^2.4.1",
     "react": "^19.0.0",
     "react-dom": "^19.0.0",
-    "react-icons": "^5.5.0",
+    "react-icons": "^5.4.0",
     "react-use": "^17.6.0"
   },
   "devDependencies": {
     "@docusaurus/module-type-aliases": "^3.5.1",
     "@docusaurus/tsconfig": "^3.7.0",
     "@docusaurus/types": "^3.5.1",
-    "typescript": "~5.8.2"
+    "typescript": "~5.7.3"
   },
   "browserslist": {
     "production": [

docs/sidebars.ts

@@ -66,7 +66,7 @@ const sidebars: SidebarsConfig = {
         },
         {
           type: 'doc',
-          label: 'Github Action',
+          label: 'Github Actions',
           id: 'usage/how-to/github-action',
         },
         {

docs/src/components/Demo/Demo.tsx

@@ -5,6 +5,9 @@ export function Demo() {
   const videoRef = React.useRef<HTMLVideoElement>(null);
 
   return (
+    <div
+      style={{ paddingBottom: "10px", paddingTop: "10px", textAlign: "center" }}
+    >
       <video
         playsInline
         autoPlay={true}
@@ -17,5 +20,6 @@ export function Demo() {
       >
         <source src="img/teaser.mp4" type="video/mp4"></source>
       </video>
+    </div>
   );
 }

docs/src/components/Demo/index.module.css

@@ -1,5 +1,6 @@
 .demo {
   width: 100%;
+  padding: 30px;
   max-width: 800px;
   text-align: center;
   border-radius: 40px;

docs/src/components/HomepageHeader/HomepageHeader.tsx

@@ -17,29 +17,6 @@ export function HomepageHeader() {
 
         <p className="header-subtitle">{siteConfig.tagline}</p>
 
-        <div style={{
-          textAlign: 'center',
-          fontSize: '1.2rem',
-          maxWidth: '800px',
-          margin: '0 auto',
-          padding: '0rem 0rem 1rem'
-        }}>
-        <p style={{ margin: '0' }}>
-          Use AI to tackle the toil in your backlog. Our agents have all the same tools as a human developer: they can modify code, run commands, browse the web,
-          call APIs, and yes-even copy code snippets from StackOverflow.
-          <br/>
-          <Link to="https://docs.all-hands.dev/modules/usage/installation"
-            style={{
-              textDecoration: 'underline',
-              display: 'inline-block',
-              marginTop: '0.5rem'
-            }}
-          >
-            Get started with OpenHands.
-          </Link>
-        </p>
-      </div>
-
         <div align="center" className="header-links">
           <a href="https://github.com/All-Hands-AI/OpenHands/graphs/contributors"><img src="https://img.shields.io/github/contributors/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Contributors" /></a>
           <a href="https://github.com/All-Hands-AI/OpenHands/stargazers"><img src="https://img.shields.io/github/stars/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Stargazers" /></a>
@@ -50,9 +27,12 @@ export function HomepageHeader() {
           <a href="https://discord.gg/ESHStjSjD4"><img src="https://img.shields.io/badge/Discord-Join%20Us-purple?logo=discord&logoColor=white&style=for-the-badge" alt="Join our Discord community" /></a>
           <a href="https://github.com/All-Hands-AI/OpenHands/blob/main/CREDITS.md"><img src="https://img.shields.io/badge/Project-Credits-blue?style=for-the-badge&color=FFE165&logo=github&logoColor=white" alt="Credits" /></a>
           <br/>
+          <a href="https://docs.all-hands.dev/modules/usage/getting-started"><img src="https://img.shields.io/badge/Documentation-000?logo=googledocs&logoColor=FFE165&style=for-the-badge" alt="Check out the documentation" /></a>
           <a href="https://arxiv.org/abs/2407.16741"><img src="https://img.shields.io/badge/Paper%20on%20Arxiv-000?logoColor=FFE165&logo=arxiv&style=for-the-badge" alt="Paper on Arxiv" /></a>
           <a href="https://huggingface.co/spaces/OpenHands/evaluation"><img src="https://img.shields.io/badge/Benchmark%20score-000?logoColor=FFE165&logo=huggingface&style=for-the-badge" alt="Evaluation Benchmark Score" /></a>
         </div>
+
+        <Demo />
       </div>
     </div>
   );

docs/src/css/homepageHeader.css

@@ -1,14 +1,14 @@
 /* homepageHeader.css */
 
 .homepage-header {
-  padding: 1rem 0;
+  height: 800px;
 }
 
 .header-content {
   display: flex;
   flex-direction: column;
   align-items: center;
-  padding: 1rem;
+  padding: 2rem;
   font-weight: 300;
   width: 100%;
 }
@@ -25,7 +25,6 @@
 
 .header-subtitle {
   font-size: 1.5rem;
-  margin: 0.5rem 0;
 }
 
 .header-links {

docs/src/pages/index.tsx

@@ -2,7 +2,15 @@ import useDocusaurusContext from '@docusaurus/useDocusaurusContext';
 import Layout from '@theme/Layout';
 import { HomepageHeader } from '../components/HomepageHeader/HomepageHeader';
 import { translate } from '@docusaurus/Translate';
-import { Demo } from "../components/Demo/Demo";
+
+export function Header({ title, summary }): JSX.Element {
+  return (
+    <div>
+      <h1>{title}</h1>
+      <h2 style={{ fontSize: '3rem' }}>{summary}</h2>
+    </div>
+  );
+}
 
 export default function Home(): JSX.Element {
   const { siteConfig } = useDocusaurusContext();
@@ -15,20 +23,6 @@ export default function Home(): JSX.Element {
       })}
     >
       <HomepageHeader />
-
-      <div style={{ textAlign: 'center', padding: '1rem 0' }}>
-        <Demo />
-      </div>
-
-      <div style={{ textAlign: 'center', padding: '0.5rem 2rem 1.5rem' }}>
-        <h2>Most Popular Links</h2>
-        <ul style={{ listStyleType: 'none'}}>
-          <li><a href="/modules/usage/prompting/microagents-repo">Customizing OpenHands to a repository</a></li>
-          <li><a href="/modules/usage/how-to/github-action">Integrating OpenHands with Github</a></li>
-          <li><a href="/modules/usage/llms#model-recommendations">Recommended models to use</a></li>
-          <li><a href="/modules/usage/runtimes#connecting-to-your-filesystem">Connecting OpenHands to your filesystem</a></li>
-        </ul>
-      </div>
     </Layout>
   );
 }

evaluation/README.md

@@ -20,8 +20,6 @@ To evaluate an agent, you can provide the agent's name to the `run_infer.py` pro
 ### Evaluating Different LLMs
 
 OpenHands in development mode uses `config.toml` to keep track of most configuration.
-**IMPORTANT: For evaluation, only the LLM section in `config.toml` will be used. Other configurations, such as `save_trajectory_path`, are not applied during evaluation.**
-
 Here's an example configuration file you can use to define and use multiple LLMs:
 
 ```toml
@@ -42,8 +40,6 @@ api_key = "XXX"
 temperature = 0.0
 ```
 
-For other configurations specific to evaluation, such as `save_trajectory_path`, these are typically set in the `get_config` function of the respective `run_infer.py` file for each benchmark.
-
 ## Supported Benchmarks
 
 The OpenHands evaluation harness supports a wide variety of benchmarks across [software engineering](#software-engineering), [web browsing](#web-browsing), [miscellaneous assistance](#misc-assistance), and [real-world](#real-world) tasks.

evaluation/benchmarks/EDA/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/agent_bench/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/aider_bench/README.md

@@ -56,10 +56,9 @@ You can update the arguments in the script
 ./evaluation/benchmarks/aider_bench/scripts/run_infer.sh eval_gpt35_turbo HEAD CodeActAgent 100 1 "1,3,10"
 ```
 
-### Run Inference on `RemoteRuntime`
-
-This is in beta. Fill out [this form](https://docs.google.com/forms/d/e/1FAIpQLSckVz_JFwg2_mOxNZjCtr7aoBFI2Mwdan3f75J_TrdMS1JV2g/viewform) to apply if you want to try this out!
+### Run Inference on `RemoteRuntime` (experimental)
 
+This is in limited beta. Contact Xingyao over slack if you want to try this out!
 
 ```bash
 ./evaluation/benchmarks/aider_bench/scripts/run_infer.sh [model_config] [git-version] [agent] [eval_limit] [eval-num-workers] [eval_ids]

evaluation/benchmarks/aider_bench/run_infer.py

@@ -205,6 +205,7 @@ def process_instance(
 
     runtime: Runtime = create_runtime(config)
     call_async_from_sync(runtime.connect)
+
     initialize_runtime(runtime, instance=instance)
 
     # Here's how you can run the agent (similar to the `main` function) and get the final task state

evaluation/benchmarks/aider_bench/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/biocoder/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/bird/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/browsing_delegation/run_infer.py

@@ -25,7 +25,6 @@ from openhands.core.config import (
 from openhands.core.logger import openhands_logger as logger
 from openhands.core.main import create_runtime, run_controller
 from openhands.events.action import MessageAction
-from openhands.utils.async_utils import call_async_from_sync
 
 # Only CodeActAgent can delegate to BrowsingAgent
 SUPPORTED_AGENT_CLS = {'CodeActAgent'}
@@ -75,7 +74,6 @@ def process_instance(
     )
 
     runtime = create_runtime(config)
-    call_async_from_sync(runtime.connect)
 
     state: State | None = asyncio.run(
         run_controller(

evaluation/benchmarks/browsing_delegation/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/commit0_bench/README.md

@@ -23,10 +23,10 @@ Make sure your Docker daemon is running, and you have ample disk space (at least
 When the `run_infer.sh` script is started, it will automatically pull the `lite` split in Commit0. For example, for instance ID `commit-0/minitorch`, it will try to pull our pre-build docker image `wentingzhao/minitorch` from DockerHub. This image will be used create an OpenHands runtime image where the agent will operate on.
 
 ```bash
-./evaluation/benchmarks/commit0/scripts/run_infer.sh [repo_split] [model_config] [git-version] [agent] [eval_limit] [max_iter] [num_workers] [dataset] [dataset_split]
+./evaluation/benchmarks/commit0_bench/scripts/run_infer.sh [repo_split] [model_config] [git-version] [agent] [eval_limit] [max_iter] [num_workers] [dataset] [dataset_split]
 
 # Example
-./evaluation/benchmarks/commit0/scripts/run_infer.sh lite llm.eval_sonnet HEAD CodeActAgent 16 100 8 wentingzhao/commit0_combined test
+./evaluation/benchmarks/commit0_bench/scripts/run_infer.sh lite llm.eval_sonnet HEAD CodeActAgent 16 100 8 wentingzhao/commit0_combined test
 ```
 
 where `model_config` is mandatory, and the rest are optional.
@@ -48,25 +48,26 @@ default, it is set to 1.
 - `dataset`, a huggingface dataset name. e.g. `wentingzhao/commit0_combined`, specifies which dataset to evaluate on.
 - `dataset_split`, split for the huggingface dataset. Notice only `test` is supported for Commit0.
 
+Note that the `USE_INSTANCE_IMAGE` environment variable is always set to `true` for Commit0.
+
 Let's say you'd like to run 10 instances using `llm.eval_sonnet` and CodeActAgent,
 
 then your command would be:
 
 ```bash
-./evaluation/benchmarks/commit0/scripts/run_infer.sh lite llm.eval_sonnet HEAD CodeActAgent 10 30 1 wentingzhao/commit0_combined test
+./evaluation/benchmarks/commit0_bench/scripts/run_infer.sh lite llm.eval_sonnet HEAD CodeActAgent 10 30 1 wentingzhao/commit0_combined test
 ```
 
-### Run Inference on `RemoteRuntime`
-
-This is in beta. Fill out [this form](https://docs.google.com/forms/d/e/1FAIpQLSckVz_JFwg2_mOxNZjCtr7aoBFI2Mwdan3f75J_TrdMS1JV2g/viewform) to apply if you want to try this out!
+### Run Inference on `RemoteRuntime` (experimental)
 
+This is in limited beta. Contact Xingyao over slack if you want to try this out!
 
 ```bash
-./evaluation/benchmarks/commit0/scripts/run_infer.sh [repo_split] [model_config] [git-version] [agent] [eval_limit] [max_iter] [num_workers] [dataset] [dataset_split]
+./evaluation/benchmarks/commit0_bench/scripts/run_infer.sh [repo_split] [model_config] [git-version] [agent] [eval_limit] [max_iter] [num_workers] [dataset] [dataset_split]
 
 # Example - This runs evaluation on CodeActAgent for 10 instances on "wentingzhao/commit0_combined"'s test set, with max 30 iteration per instances, with 1 number of workers running in parallel
 ALLHANDS_API_KEY="YOUR-API-KEY" RUNTIME=remote SANDBOX_REMOTE_RUNTIME_API_URL="https://runtime.eval.all-hands.dev" EVAL_DOCKER_IMAGE_PREFIX="docker.io/wentingzhao" \
-./evaluation/benchmarks/commit0/scripts/run_infer.sh lite llm.eval_sonnet HEAD CodeActAgent 10 30 1 wentingzhao/commit0_combined test
+./evaluation/benchmarks/commit0_bench/scripts/run_infer.sh lite llm.eval_sonnet HEAD CodeActAgent 10 30 1 wentingzhao/commit0_combined test
 ```
 
 To clean-up all existing runtime you've already started, run:

evaluation/benchmarks/commit0_bench/run_infer.py

@@ -39,6 +39,7 @@ from openhands.utils.async_utils import call_async_from_sync
 from openhands.utils.shutdown_listener import sleep_if_should_continue
 
 USE_HINT_TEXT = os.environ.get('USE_HINT_TEXT', 'false').lower() == 'true'
+USE_INSTANCE_IMAGE = os.environ.get('USE_INSTANCE_IMAGE', 'false').lower() == 'true'
 RUN_WITH_BROWSING = os.environ.get('RUN_WITH_BROWSING', 'false').lower() == 'true'
 
 AGENT_CLS_TO_FAKE_USER_RESPONSE_FN = {
@@ -104,6 +105,7 @@ def get_config(
     instance: pd.Series,
     metadata: EvalMetadata,
 ) -> AppConfig:
+    assert USE_INSTANCE_IMAGE
     repo_name = instance['repo'].split('/')[1]
     base_container_image = get_instance_docker_image(repo_name)
     logger.info(
@@ -301,16 +303,6 @@ def complete_runtime(
     pytest_exit_code = obs.content.strip()
     # logger.info(f'Pytest exit code: {pytest_exit_code}')
 
-    # Get test IDs from instance
-    repo_name = instance['repo'].split('/')[1]
-    repo_name = repo_name.replace('.', '-')
-    action = CmdRunAction(command=f'commit0 get-tests {repo_name}')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    # logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    test_ids = obs.content.strip().split('\n')
-
     # Read the test report
     action = CmdRunAction(command='cat report.json')
     action.set_hard_timeout(600)
@@ -321,10 +313,18 @@ def complete_runtime(
         isinstance(obs, CmdOutputObservation),
         f'Failed to read test report: {str(obs)}',
     )
-    json_report = obs.content.strip()
+    # Get test IDs from instance
+    repo_name = instance['repo'].split('/')[1]
+    repo_name = repo_name.replace('.', '-')
+    action = CmdRunAction(command=f'commit0 get-tests {repo_name}')
+    action.set_hard_timeout(600)
+    logger.info(action, extra={'msg_type': 'ACTION'})
+    obs = runtime.run_action(action)
+    # logger.info(obs, extra={'msg_type': 'OBSERVATION'})
+    test_ids = obs.content.strip().split('\n')
 
     try:
-        report = json.loads(json_report)
+        report = json.loads(obs.content)
         tests = {x['nodeid']: x['call'] for x in report['tests'] if 'call' in x}
 
         # Calculate test statistics

evaluation/benchmarks/commit0_bench/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"
@@ -30,6 +30,11 @@ if [ -z "$MAX_ITER" ]; then
   MAX_ITER=100
 fi
 
+if [ -z "$USE_INSTANCE_IMAGE" ]; then
+  echo "USE_INSTANCE_IMAGE not specified, use default true"
+  USE_INSTANCE_IMAGE=true
+fi
+
 if [ -z "$RUN_WITH_BROWSING" ]; then
   echo "RUN_WITH_BROWSING not specified, use default false"
   RUN_WITH_BROWSING=false
@@ -51,6 +56,8 @@ if [ -z "$SPLIT" ]; then
   SPLIT="test"
 fi
 
+export USE_INSTANCE_IMAGE=$USE_INSTANCE_IMAGE
+echo "USE_INSTANCE_IMAGE: $USE_INSTANCE_IMAGE"
 export RUN_WITH_BROWSING=$RUN_WITH_BROWSING
 echo "RUN_WITH_BROWSING: $RUN_WITH_BROWSING"
 
@@ -84,7 +91,7 @@ fi
 
 function run_eval() {
   local eval_note=$1
-  COMMAND="poetry run python evaluation/benchmarks/commit0/run_infer.py \
+  COMMAND="poetry run python evaluation/benchmarks/commit0_bench/run_infer.py \
     --agent-cls $AGENT \
     --llm-config $MODEL_CONFIG \
     --max-iterations $MAX_ITER \

evaluation/benchmarks/discoverybench/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/gaia/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/gorilla/ast_eval_hf.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 # This file is modified from https://github.com/ShishirPatil/gorilla/blob/main/eval/eval-scripts/ast_eval_hf.py
 
-import tree_sitter_python as tspython
 from tree_sitter import Language, Parser
 
 
@@ -40,9 +39,10 @@ def get_all_sub_trees(root_node):
 
 
 # Parse the program into AST trees
-def ast_parse(candidate):
-    LANGUAGE = Language(tspython.language())
-    parser = Parser(LANGUAGE)
+def ast_parse(candidate, lang='python'):
+    LANGUAGE = Language('evaluation/gorilla/my-languages.so', lang)
+    parser = Parser()
+    parser.set_language(LANGUAGE)
 
     candidate_tree = parser.parse(bytes(candidate, 'utf8')).root_node
     return candidate_tree

evaluation/benchmarks/gorilla/ast_eval_tf.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 # This file is modified from https://github.com/ShishirPatil/gorilla/blob/main/eval/eval-scripts/ast_eval_tf.py
 
-import tree_sitter_python as tspython
 from tree_sitter import Language, Parser
 
 
@@ -40,9 +39,10 @@ def get_all_sub_trees(root_node):
 
 
 # Parse the program into AST trees
-def ast_parse(candidate):
-    LANGUAGE = Language(tspython.language())
-    parser = Parser(LANGUAGE)
+def ast_parse(candidate, lang='python'):
+    LANGUAGE = Language('evaluation/gorilla/my-languages.so', lang)
+    parser = Parser()
+    parser.set_language(LANGUAGE)
 
     candidate_tree = parser.parse(bytes(candidate, 'utf8')).root_node
     return candidate_tree

evaluation/benchmarks/gorilla/ast_eval_th.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 # This file is modified from https://github.com/ShishirPatil/gorilla/blob/main/eval/eval-scripts/ast_eval_th.py
 
-import tree_sitter_python as tspython
 from tree_sitter import Language, Parser
 
 
@@ -40,9 +39,10 @@ def get_all_sub_trees(root_node):
 
 
 # Parse the program into AST trees
-def ast_parse(candidate):
-    LANGUAGE = Language(tspython.language())
-    parser = Parser(LANGUAGE)
+def ast_parse(candidate, lang='python'):
+    LANGUAGE = Language('evaluation/gorilla/my-languages.so', lang)
+    parser = Parser()
+    parser.set_language(LANGUAGE)
 
     candidate_tree = parser.parse(bytes(candidate, 'utf8')).root_node
     return candidate_tree

evaluation/benchmarks/gorilla/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/gorilla/utils.py

@@ -71,19 +71,19 @@ def fetch_data(url, filename):
 
 def get_data_for_hub(hub: str):
     if hub == 'hf':
-        question_data = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/refs/tags/v1.2/eval/eval-data/questions/huggingface/questions_huggingface_0_shot.jsonl'
-        api_dataset = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/refs/tags/v1.2/data/api/huggingface_api.jsonl'
-        apibench = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/refs/tags/v1.2/data/apibench/huggingface_eval.json'
+        question_data = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/main/eval/eval-data/questions/huggingface/questions_huggingface_0_shot.jsonl'
+        api_dataset = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/main/data/api/huggingface_api.jsonl'
+        apibench = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/main/data/apibench/huggingface_eval.json'
         ast_eval = ast_eval_hf
     elif hub == 'torch':
-        question_data = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/refs/tags/v1.2/eval/eval-data/questions/torchhub/questions_torchhub_0_shot.jsonl'
-        api_dataset = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/refs/tags/v1.2/data/api/torchhub_api.jsonl'
-        apibench = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/refs/tags/v1.2/data/apibench/torchhub_eval.json'
+        question_data = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/main/eval/eval-data/questions/torchhub/questions_torchhub_0_shot.jsonl'
+        api_dataset = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/main/data/api/torchhub_api.jsonl'
+        apibench = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/main/data/apibench/torchhub_eval.json'
         ast_eval = ast_eval_th
     elif hub == 'tf':
-        question_data = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/refs/tags/v1.2/eval/eval-data/questions/tensorflowhub/questions_tensorflowhub_0_shot.jsonl'
-        api_dataset = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/refs/tags/v1.2/data/api/tensorflowhub_api.jsonl'
-        apibench = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/refs/tags/v1.2/data/apibench/tensorflow_eval.json'
+        question_data = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/main/eval/eval-data/questions/tensorflowhub/questions_tensorflowhub_0_shot.jsonl'
+        api_dataset = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/main/data/api/tensorflowhub_api.jsonl'
+        apibench = 'https://raw.githubusercontent.com/ShishirPatil/gorilla/main/data/apibench/tensorflow_eval.json'
         ast_eval = ast_eval_tf
 
     question_data = fetch_data(question_data, 'question_data.jsonl')

evaluation/benchmarks/gpqa/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/humanevalfix/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/logic_reasoning/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/miniwob/README.md

@@ -19,10 +19,9 @@ Access with browser the above MiniWoB URLs and see if they load correctly.
 ./evaluation/benchmarks/miniwob/scripts/run_infer.sh llm.claude-35-sonnet-eval
 ```
 
-### Run Inference on `RemoteRuntime`
-
-This is in beta. Fill out [this form](https://docs.google.com/forms/d/e/1FAIpQLSckVz_JFwg2_mOxNZjCtr7aoBFI2Mwdan3f75J_TrdMS1JV2g/viewform) to apply if you want to try this out!
+### Run Inference on `RemoteRuntime` (experimental)
 
+This is in limited beta. Contact Xingyao over slack if you want to try this out!
 
 ```bash
 ./evaluation/benchmarks/miniwob/scripts/run_infer.sh [model_config] [git-version] [agent] [note] [eval_limit] [num_workers]

evaluation/benchmarks/miniwob/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/mint/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/ml_bench/scripts/cleanup.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 
 # Step 1: Stop all running containers
 echo "Stopping all running containers..."

evaluation/benchmarks/ml_bench/scripts/run_analysis.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 
 RESULT_FILE=$1
 MODEL_CONFIG=$2

evaluation/benchmarks/ml_bench/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/scienceagentbench/scripts/run_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -eo pipefail
 
 source "evaluation/utils/version_control.sh"

evaluation/benchmarks/swe_bench/README.md

@@ -2,13 +2,11 @@
 
 This folder contains the evaluation harness that we built on top of the original [SWE-Bench benchmark](https://www.swebench.com/) ([paper](https://arxiv.org/abs/2310.06770)).
 
-**UPDATE (2/18/2025): We now support running SWE-Gym using the same evaluation harness here. For more details, checkout [this README](./SWE-Gym.md).
-
 **UPDATE (7/1/2024): We now support the official SWE-Bench dockerized evaluation as announced [here](https://github.com/princeton-nlp/SWE-bench/blob/main/docs/20240627_docker/README.md).**
 
 The evaluation consists of three steps:
 
-1. Environment setup: [install python environment](../../README.md#development-environment) and [configure LLM config](../../README.md#configure-openhands-and-your-llm).
+1. Environment setup: [install python environment](../../README.md#development-environment), [configure LLM config](../../README.md#configure-openhands-and-your-llm), and [pull docker](#openhands-swe-bench-instance-level-docker-support).
 2. [Run inference](#run-inference-on-swe-bench-instances): Generate a edit patch for each Github issue
 3. [Evaluate patches using SWE-Bench docker](#evaluate-generated-patches)
 
@@ -16,21 +14,22 @@ The evaluation consists of three steps:
 
 Please follow instruction [here](../../README.md#setup) to setup your local development environment and LLM.
 
-## Run Inference (Rollout) on SWE-Bench Instances: Generate Patch from Problem Statement
+## OpenHands SWE-Bench Instance-level Docker Support
 
-### Running Locally with Docker
+OpenHands now support using the [official evaluation docker](https://github.com/princeton-nlp/SWE-bench/blob/main/docs/20240627_docker/README.md) for both **[inference](#run-inference-on-swe-bench-instances) and [evaluation](#evaluate-generated-patches)**.
+This is now the default behavior.
 
-Make sure your Docker daemon is running, and you have ample disk space (at least 200-500GB, depends on the SWE-Bench set you are running on) for the instance-level docker image.
+## Run Inference on SWE-Bench Instances
 
-When the `run_infer.sh` script is started, it will automatically pull the relevant SWE-Bench images.
-For example, for instance ID `django_django-11011`, it will try to pull our pre-build docker image `sweb.eval.x86_64.django_s_django-11011` from DockerHub.
-This image will be used create an OpenHands runtime image where the agent will operate on.
+Make sure your Docker daemon is running, and you have ample disk space (at least 200-500GB, depends on the SWE-Bench set you are running on) for the [instance-level docker image](#openhands-swe-bench-instance-level-docker-support).
+
+When the `run_infer.sh` script is started, it will automatically pull the relevant SWE-Bench images. For example, for instance ID `django_django-11011`, it will try to pull our pre-build docker image `sweb.eval.x86_64.django_s_django-11011` from DockerHub. This image will be used create an OpenHands runtime image where the agent will operate on.
 
 ```bash
 ./evaluation/benchmarks/swe_bench/scripts/run_infer.sh [model_config] [git-version] [agent] [eval_limit] [max_iter] [num_workers] [dataset] [dataset_split]
 
 # Example
-./evaluation/benchmarks/swe_bench/scripts/run_infer.sh llm.eval_gpt4_1106_preview HEAD CodeActAgent 500 100 1 princeton-nlp/SWE-bench_Verified test
+./evaluation/benchmarks/swe_bench/scripts/run_infer.sh llm.eval_gpt4_1106_preview HEAD CodeActAgent 300 30 1 princeton-nlp/SWE-bench_Lite test
 ```
 
 where `model_config` is mandatory, and the rest are optional.
@@ -48,16 +47,14 @@ in order to use `eval_limit`, you must also set `agent`.
 default, it is set to 30.
 - `num_workers`, e.g. `3`, is the number of parallel workers to run the evaluation. By
 default, it is set to 1.
-- `dataset`, a huggingface dataset name. e.g. `princeton-nlp/SWE-bench`, `princeton-nlp/SWE-bench_Lite`, or `princeton-nlp/SWE-bench_Verified`, specifies which dataset to evaluate on.
+- `dataset`, a huggingface dataset name. e.g. `princeton-nlp/SWE-bench` or `princeton-nlp/SWE-bench_Lite`, specifies which dataset to evaluate on.
 - `dataset_split`, split for the huggingface dataset. e.g., `test`, `dev`. Default to `test`.
 
-> [!CAUTION]
-> Setting `num_workers` larger than 1 is not officially tested, YMMV.
-
-There is also one optional environment variable you can set.
+There are also two optional environment variables you can set.
 
 ```bash
 export USE_HINT_TEXT=true # if you want to use hint text in the evaluation. Default to false. Ignore this if you are not sure.
+export USE_INSTANCE_IMAGE=true # if you want to use instance-level docker images. Default to true
 ```
 
 Let's say you'd like to run 10 instances using `llm.eval_gpt4_1106_preview` and CodeActAgent,
@@ -68,11 +65,9 @@ then your command would be:
 ./evaluation/benchmarks/swe_bench/scripts/run_infer.sh llm.eval_gpt4_1106_preview HEAD CodeActAgent 10
 ```
 
-### Running in parallel with RemoteRuntime
+### Run Inference on `RemoteRuntime` (experimental)
 
-OpenHands Remote Runtime is currently in beta (read [here](https://runtime.all-hands.dev/) for more details), it allows you to run rollout in parallel in the cloud, so you don't need a powerful machine to run evaluation.
-
-Fill out [this form](https://docs.google.com/forms/d/e/1FAIpQLSckVz_JFwg2_mOxNZjCtr7aoBFI2Mwdan3f75J_TrdMS1JV2g/viewform) to apply if you want to try this out!
+This is in limited beta. Contact Xingyao over slack if you want to try this out!
 
 ```bash
 ./evaluation/benchmarks/swe_bench/scripts/run_infer.sh [model_config] [git-version] [agent] [eval_limit] [max_iter] [num_workers] [dataset] [dataset_split]
@@ -105,14 +100,41 @@ After running the inference, you will obtain a `output.jsonl` (by default it wil
 
 ## Evaluate Generated Patches
 
-### Run evaluation with official SWE-Bench harness (Recommend if you have local disk space)
+### Download Docker Images
+
+**(Recommended for reproducibility)** If you have extra local space (e.g., 200GB), you can try pull the [instance-level docker images](https://github.com/princeton-nlp/SWE-bench/blob/main/docs/20240627_docker/README.md#choosing-the-right-cache_level) we've prepared by running:
+
+```bash
+evaluation/benchmarks/swe_bench/scripts/docker/pull_all_eval_docker.sh instance
+```
+
+If you want to save disk space a bit (e.g., with ~50GB free disk space), while speeding up the image pre-build process, you can pull the environment-level docker images:
+
+```bash
+evaluation/benchmarks/swe_bench/scripts/docker/pull_all_eval_docker.sh env
+```
+
+If you want to evaluate on the full SWE-Bench test set:
+
+```bash
+evaluation/benchmarks/swe_bench/scripts/docker/pull_all_eval_docker.sh instance full
+```
+
+### Run evaluation
 
 With `output.jsonl` file, you can run `eval_infer.sh` to evaluate generated patches, and produce a fine-grained report.
+
 **This evaluation is performed using the official dockerized evaluation announced [here](https://github.com/princeton-nlp/SWE-bench/blob/main/docs/20240627_docker/README.md).**
 
-> [!NOTE]
-> This process will automatically download docker images from SWE-Bench official docker hub, please make sure you have enough disk space!
+> If you want to evaluate existing results, you should first run this to clone existing outputs
+>
+>```bash
+>git clone https://huggingface.co/spaces/OpenHands/evaluation evaluation/evaluation_outputs
+>```
 
+NOTE, you should have already pulled the instance-level OR env-level docker images following [this section](#openhands-swe-bench-instance-level-docker-support).
+
+Then you can run the following:
 
 ```bash
 ./evaluation/benchmarks/swe_bench/scripts/eval_infer.sh $YOUR_OUTPUT_JSONL [instance_id] [dataset_name] [split]
@@ -141,10 +163,9 @@ The final results will be saved to `evaluation/evaluation_outputs/outputs/swe_be
 - `report.json`: a JSON file that contains keys like `"resolved_ids"` pointing to instance IDs that are resolved by the agent.
 - `logs/`: a directory of test logs
 
-### Run evaluation with `RemoteRuntime`
+### Run evaluation with `RemoteRuntime` (experimental)
 
-OpenHands Remote Runtime is currently in beta (read [here](https://runtime.all-hands.dev/) for more details), it allows you to run rollout in parallel in the cloud, so you don't need a powerful machine to run evaluation.
-Fill out [this form](https://docs.google.com/forms/d/e/1FAIpQLSckVz_JFwg2_mOxNZjCtr7aoBFI2Mwdan3f75J_TrdMS1JV2g/viewform) to apply if you want to try this out!
+This is in limited beta. Contact Xingyao over slack if you want to try this out!
 
 ```bash
 ./evaluation/benchmarks/swe_bench/scripts/eval_infer_remote.sh [output.jsonl filepath] [num_workers]
@@ -159,3 +180,35 @@ To clean-up all existing runtimes that you've already started, run:
 ```bash
 ALLHANDS_API_KEY="YOUR-API-KEY" ./evaluation/utils/scripts/cleanup_remote_runtime.sh
 ```
+
+## Visualize Results
+
+First you need to clone `https://huggingface.co/spaces/OpenHands/evaluation` and add your own running results from openhands into the `outputs` of the cloned repo.
+
+```bash
+git clone https://huggingface.co/spaces/OpenHands/evaluation
+```
+
+**(optional) setup streamlit environment with conda**:
+
+```bash
+cd evaluation
+conda create -n streamlit python=3.10
+conda activate streamlit
+pip install -r requirements.txt
+```
+
+**run the visualizer**:
+Then, in a separate Python environment with `streamlit` library, you can run the following:
+
+```bash
+# Make sure you are inside the cloned `evaluation` repo
+conda activate streamlit # if you follow the optional conda env setup above
+streamlit run app.py --server.port 8501 --server.address 0.0.0.0
+```
+
+Then you can access the SWE-Bench trajectory visualizer at `localhost:8501`.
+
+## Submit your evaluation results
+
+You can start your own fork of [our huggingface evaluation outputs](https://huggingface.co/spaces/OpenHands/evaluation) and submit a PR of your evaluation results following the guide [here](https://huggingface.co/docs/hub/en/repositories-pull-requests-discussions#pull-requests-and-discussions).

evaluation/benchmarks/swe_bench/SWE-Gym.md

@@ -1,128 +0,0 @@
-<h1 align="center"> Training Software Engineering Agents and Verifiers with SWE-Gym </h1>
-
-<p align="center">
-  <a href="https://www.jiayipan.com/" style="text-decoration: none;">Jiayi Pan<sup>*,1</sup></a>,
-  <a href="https://xwang.dev/" style="text-decoration: none;">Xingyao Wang<sup>*,2</sup></a>,
-  <a href="https://www.phontron.com/" style="text-decoration: none;">Graham Neubig<sup>3</sup></a>,
-  <a href="https://www.cs.toronto.edu/~ndjaitly/" style="text-decoration: none;">Navdeep Jaitly<sup>4</sup></a>,
-  <a href="https://blender.cs.illinois.edu/hengji.html" style="text-decoration: none;">Heng Ji<sup>2</sup></a>,
-  <a href="https://www.alanesuhr.com/" style="text-decoration: none;">Alane Suhr<sup>^,1</sup></a>,
-  <a href="https://dreasysnail.github.io/" style="text-decoration: none;">Yizhe Zhang<sup>^,4</sup></a>
-</p>
-
-<p align="center">
-  <sup>1</sup>UC Berkeley, <sup>2</sup>UIUC, <sup>3</sup>CMU, <sup>4</sup>Apple </br>
-  <sub><sup>*</sup>Equal contribution, <sup>^</sup>Equal supervision</sub>
-</p>
-
-<p align="center">
-<a href="https://arxiv.org/abs/2412.21139">📃 Paper</a>
-•
-<a href="https://huggingface.co/SWE-Gym" >🤗 Data & Models</a>
-</p>
-
-We present **SWE-Gym**, the first environment for training real-world software engineering agents.
-We use it to train strong LM agents that achieve state-of-the-art open results on SWE-Bench, with early, promising scaling characteristics as we increase training and inference-time compute.
-
-<p align="center">
-  <img src="https://github.com/SWE-Gym/SWE-Gym/blob/main/assets/images/teaser.jpg?raw=true" width="100%" alt="teaser">
-</p>
-
----
-# Run SWE-Gym with OpenHands
-
-The process of running SWE-Gym is very similar to how you'd run SWE-Bench evaluation.
-
-
-1. First, clone OpenHands repo `git clone https://github.com/All-Hands-AI/OpenHands.git`
-2. Then setup the repo following [Development.md](https://github.com/All-Hands-AI/OpenHands/blob/main/Development.md)
-3. Then you can simply serve your own model as an OpenAI compatible endpoint, put those info in config.toml. You can do this by following instruction [here](../../README.md#setup).
-4. And then simply do the following to sample for 16x parallelism:
-
-```bash
-export ALLHANDS_API_KEY=ah-yourkey  # You don't need to set this when running these in local docker container
-./evaluation/benchmarks/swe_bench/scripts/rollout_swegym.sh llm.mymodel-temp05 'train-t05' 16
-```
-
-NOTE: SWE-Gym sampling with parallelism is currently only tested with AllHands RemoteRuntime (limited beta). Fill [this form](https://docs.google.com/forms/d/e/1FAIpQLSckVz_JFwg2_mOxNZjCtr7aoBFI2Mwdan3f75J_TrdMS1JV2g/viewform) to apply for access.
-
-
-5. When `rollout_swegym.sh` finishes, you will get a file called `output.with_completions.jsonl.gz`. Then you can use [`./scripts/swegym/convert_data.ipynb`](./scripts/swegym/convert_data.ipynb) to convert them into SFT data format.
-
----
-# More info about SWE-Gym
-
-Progress in agents for software engineering has been limited by the lack of training environments that both include rigorous verification for reinforcement learning and cover the expansive tasks encountered in real-world repository-level engineering.
-
-We introduce SWE-Gym: An Open Environment for Training Software Engineering Agents & Verifiers.
-Our baselines achieve new open SOTA - 32%/26% on SWE-Bench Verified/Lite, with promising scaling trends.
-
-![SWE-Gym Scaling](https://github.com/SWE-Gym/SWE-Gym/blob/main/assets/images/scaling.jpg?raw=true)
-*SWE-Gym enables scalable improvements for software engineering agents at both training and inference time. Our current results is primarily bottlenecked by training and inference compute, rather than the size of our environment.*
-
-## SWE-Gym Environment
-
-We create SWE-Gym, the first environment for training SWE agents, with **2.4K real tasks from 11 Python repos** & a Lite split of 234 instances. SWE-Gym combines real-world Python tasks, repository context, executable environments, and test verification to train agents for solving software engineering problems.
-
-![SWE-Gym Repo Distribution](https://github.com/SWE-Gym/SWE-Gym/blob/main/assets/images/swe-gym.jpg?raw=true)
-
-
-## SWE-Gym trains LMs as agents
-
-When fine-tuned on less than 500 agent-environment interaction trajectories sampled from it from GPT-4o and Claude 3.5 Sonnet, we achieve **+14%** absolute gains on SWE-Bench Verified with an 32B LM-powered OpenHands agent.
-
-![OpenHands Performance diff before and after training](https://github.com/SWE-Gym/SWE-Gym/blob/main/assets/images/oh-agent.jpg?raw=true)
-
-
-## SWE-Gym enables self-improvement
-
-SWE-Gym is also effective across agent scaffolds. With rejection sampling fine-tuning and MoatlessTools scaffold, our 32B and 7B models achieve 20% and 10% respectively on SWE-Bench Lite through self-improvement.
-
-<p align="center">
-  <img src="https://github.com/SWE-Gym/SWE-Gym/blob/main/assets/images/ml-agent.jpg?raw=true" width="80%" alt="Moatless self-improvement">
-</p>
-
-
-
-## SWE-Gym enables inference-time scaling
-
-SWE-Gym enables inference-time scaling through verifiers trained on agent trajectories.
-These verifiers identify most promising solutions via best-of-n selection, together with our learned agents, they achieve 32%/26% on SWE-Bench Verified/Lite, a new open SoTA.
-
-
-![Inference Time Scaling for Moatless Agent](https://github.com/SWE-Gym/SWE-Gym/blob/main/assets/images/inference-ml.jpg?raw=true)
-*Inference Time Scaling for Moatless Agent*
-
-![Inference Time Scaling for OpenHands Agent](https://github.com/SWE-Gym/SWE-Gym/blob/main/assets/images/inference-oh.jpg?raw=true)
-*Inference Time Scaling for OpenHands Agent*
-
-
-## Our baselines on SWE-Gym shows strong scaling trends
-
-Lastly, our ablations reveal strong scaling trends - performance is now bottlenecked by train and inference compute, rather than the size of our dataset. Pushing and improving these scaling trends further is an exciting direction for future work.
-
-![](https://github.com/SWE-Gym/SWE-Gym/blob/main/assets/images/scaling.jpg?raw=true)
-
-## Reproducing Results
-**The Dataset**
-
-To access SWE-Gym dataset, checkout our huggingface hub page [SWE-Gym](https://huggingface.co/SWE-Gym)
-
-The environment constants are currently saved at [SWE-Bench-Fork](https://github.com/SWE-Gym/SWE-Bench-Fork)
-
-We also have pre-built docker images for each instance under [xingyaoww/sweb.eval.x86_64](https://hub.docker.com/search?q=xingyaoww%2Fsweb.eval.x86_64.) prefix at docker hub.
-
-
-## 📚 Citation
-
-```bibtex
-@misc{pan2024trainingsoftwareengineeringagents,
-      title={Training Software Engineering Agents and Verifiers with SWE-Gym},
-      author={Jiayi Pan and Xingyao Wang and Graham Neubig and Navdeep Jaitly and Heng Ji and Alane Suhr and Yizhe Zhang},
-      year={2024},
-      eprint={2412.21139},
-      archivePrefix={arXiv},
-      primaryClass={cs.SE},
-      url={https://arxiv.org/abs/2412.21139},
-}
-```

evaluation/benchmarks/swe_bench/eval_infer.py

@@ -6,6 +6,13 @@ import time
 from functools import partial
 
 import pandas as pd
+from swebench.harness.grading import get_eval_report
+from swebench.harness.run_evaluation import (
+    APPLY_PATCH_FAIL,
+    APPLY_PATCH_PASS,
+)
+from swebench.harness.test_spec import SWEbenchInstance, TestSpec, make_test_spec
+from swebench.harness.utils import load_swebench_dataset
 from tqdm import tqdm
 
 from evaluation.benchmarks.swe_bench.resource.mapping import (
@@ -277,7 +284,7 @@ def process_instance(
                                     'model_patch': model_patch,
                                     'instance_id': instance_id,
                                 },
-                                test_log_path=test_output_path,
+                                log_path=test_output_path,
                                 include_tests_status=True,
                             )
                             report = _report[instance_id]
@@ -337,31 +344,6 @@ if __name__ == '__main__':
     )
     args, _ = parser.parse_known_args()
 
-    if 'SWE-Gym' in args.dataset:
-        from swegym.harness.grading import get_eval_report
-        from swegym.harness.run_evaluation import (
-            APPLY_PATCH_FAIL,
-            APPLY_PATCH_PASS,
-        )
-        from swegym.harness.test_spec import (
-            SWEbenchInstance,
-            TestSpec,
-            make_test_spec,
-        )
-        from swegym.harness.utils import load_swebench_dataset
-    else:  # Newer version of SWE-Bench have different import paths
-        from swebench.harness.grading import get_eval_report
-        from swebench.harness.run_evaluation import (
-            APPLY_PATCH_FAIL,
-            APPLY_PATCH_PASS,
-        )
-        from swebench.harness.test_spec.test_spec import (
-            SWEbenchInstance,
-            TestSpec,
-            make_test_spec,
-        )
-        from swebench.harness.utils import load_swebench_dataset
-
     # Load SWE-Bench dataset
     full_dataset: list[SWEbenchInstance] = load_swebench_dataset(
         args.dataset, args.split

evaluation/benchmarks/swe_bench/run_infer.py

@@ -44,6 +44,7 @@ from openhands.utils.async_utils import call_async_from_sync
 from openhands.utils.shutdown_listener import sleep_if_should_continue
 
 USE_HINT_TEXT = os.environ.get('USE_HINT_TEXT', 'false').lower() == 'true'
+USE_INSTANCE_IMAGE = os.environ.get('USE_INSTANCE_IMAGE', 'true').lower() == 'true'
 RUN_WITH_BROWSING = os.environ.get('RUN_WITH_BROWSING', 'false').lower() == 'true'
 
 
@@ -58,65 +59,36 @@ def _get_swebench_workspace_dir_name(instance: pd.Series) -> str:
 
 def get_instruction(instance: pd.Series, metadata: EvalMetadata):
     workspace_dir_name = _get_swebench_workspace_dir_name(instance)
-    instruction = f"""
-<uploaded_files>
-/workspace/{workspace_dir_name}
-</uploaded_files>
+    # Prepare instruction
 
-I've uploaded a python code repository in the directory {workspace_dir_name}. Consider the following issue description:
-
-<issue_description>
-{instance.problem_statement}
-</issue_description>
-
-Can you help me implement the necessary changes to the repository so that the requirements specified in the <issue_description> are met?
-I've already taken care of all changes to any of the test files described in the <issue_description>. This means you DON'T have to modify the testing logic or any of the tests in any way!
-Also the development Python environment is already set up for you (i.e., all dependencies already installed), so you don't need to install other packages.
-Your task is to make the minimal changes to non-test files in the /workspace/{workspace_dir_name} directory to ensure the <issue_description> is satisfied.
-
-Follow these steps to resolve the issue:
-
-1. EXPLORATION: First, thoroughly explore the repository structure using tools like `find` and `grep`.
-   - Identify all files mentioned in the problem statement
-   - Locate where the issue occurs in the codebase
-   - Understand the surrounding context and dependencies
-   - Use `grep` to search for relevant functions, classes, or error messages
-
-2. ANALYSIS: Based on your exploration, think carefully about the problem and propose 2-5 possible approaches to fix the issue.
-   - Analyze the root cause of the problem
-   - Consider trade-offs between different solutions
-   - Select the most promising approach and explain your reasoning
-
-3. TEST CREATION: Before implementing any fix, create a script to reproduce and verify the issue.
-   - Look at existing test files in the repository to understand the test format/structure
-   - Create a minimal reproduction script that demonstrates the issue
-   - Run your script to confirm the error exists
-
-4. IMPLEMENTATION: Edit the source code to implement your chosen solution.
-   - Make minimal, focused changes to fix the issue
-
-5. VERIFICATION: Test your implementation thoroughly.
-   - Run your reproduction script to verify the fix works
-   - Add edge cases to your test script to ensure comprehensive coverage
-   - Run existing tests related to the modified code to ensure you haven't broken anything
-
-6. FINAL REVIEW: Carefully re-read the problem description and compare your changes with the base commit {instance["base_commit"]}.
-   - Ensure you've fully addressed all requirements
-   - Run any tests in the repository related to:
-     * The issue you are fixing
-     * The files you modified
-     * The functions you changed
-   - If any tests fail, revise your implementation until all tests pass
-
-Be thorough in your exploration, testing, and reasoning. It's fine if your thinking process is lengthy - quality and completeness are more important than brevity.
-"""
+    # Instruction based on Anthropic's official trajectory
+    # https://github.com/eschluntz/swe-bench-experiments/tree/main/evaluation/verified/20241022_tools_claude-3-5-sonnet-updated/trajs
+    instruction = (
+        '<uploaded_files>\n'
+        f'/workspace/{workspace_dir_name}\n'
+        '</uploaded_files>\n'
+        f"I've uploaded a python code repository in the directory {workspace_dir_name}. Consider the following issue description:\n\n"
+        f'<issue_description>\n'
+        f'{instance.problem_statement}\n'
+        '</issue_description>\n\n'
+        'Can you help me implement the necessary changes to the repository so that the requirements specified in the <issue_description> are met?\n'
+        "I've already taken care of all changes to any of the test files described in the <pr_description>. This means you DON'T have to modify the testing logic or any of the tests in any way!\n"
+        'Your task is to make the minimal changes to non-tests files in the /workspace directory to ensure the <pr_description> is satisfied.\n'
+        'Follow these steps to resolve the issue:\n'
+        '1. As a first step, it might be a good idea to explore the repo to familiarize yourself with its structure.\n'
+        '2. Create a script to reproduce the error and execute it with `python <filename.py>` using the BashTool, to confirm the error\n'
+        '3. Edit the sourcecode of the repo to resolve the issue\n'
+        '4. Rerun your reproduce script and confirm that the error is fixed!\n'
+        '5. Think about edgecases and make sure your fix handles them as well\n'
+        "Your thinking should be thorough and so it's fine if it's very long.\n"
+    )
 
     if RUN_WITH_BROWSING:
-        instruction += """
-<IMPORTANT!>
-You SHOULD NEVER attempt to browse the web.
-</IMPORTANT!>
-"""
+        instruction += (
+            '<IMPORTANT!>\n'
+            'You SHOULD NEVER attempt to browse the web. '
+            '</IMPORTANT!>\n'
+        )
     return instruction
 
 
@@ -125,19 +97,11 @@ DOCKER_IMAGE_PREFIX = os.environ.get('EVAL_DOCKER_IMAGE_PREFIX', 'docker.io/xing
 logger.info(f'Using docker image prefix: {DOCKER_IMAGE_PREFIX}')
 
 
-def get_instance_docker_image(instance_id: str, official_image: bool = False) -> str:
-    if official_image:
-        # Official SWE-Bench image
-        # swebench/sweb.eval.x86_64.django_1776_django-11333:v1
-        repo, name = instance_id.split('__')
-        image_name = f'sweb.eval.x86_64.{repo}_1776_{name}:latest'
-        logger.warning(f'Using official SWE-Bench image: {image_name}')
-    else:
-        # OpenHands version of the image
-        image_name = 'sweb.eval.x86_64.' + instance_id
-        image_name = image_name.replace(
-            '__', '_s_'
-        )  # to comply with docker image naming convention
+def get_instance_docker_image(instance_id: str) -> str:
+    image_name = 'sweb.eval.x86_64.' + instance_id
+    image_name = image_name.replace(
+        '__', '_s_'
+    )  # to comply with docker image naming convention
     return (DOCKER_IMAGE_PREFIX.rstrip('/') + '/' + image_name).lower()
 
 
@@ -145,18 +109,18 @@ def get_config(
     instance: pd.Series,
     metadata: EvalMetadata,
 ) -> AppConfig:
-    # We use a different instance image for the each instance of swe-bench eval
-    use_official_image = bool(
-        'verified' in metadata.dataset.lower() or 'lite' in metadata.dataset.lower()
-    )
-    base_container_image = get_instance_docker_image(
-        instance['instance_id'], use_official_image
-    )
-    logger.info(
-        f'Using instance container image: {base_container_image}. '
-        f'Please make sure this image exists. '
-        f'Submit an issue on https://github.com/All-Hands-AI/OpenHands if you run into any issues.'
-    )
+    SWE_BENCH_CONTAINER_IMAGE = 'ghcr.io/opendevin/eval-swe-bench:full-v1.2.1'
+    if USE_INSTANCE_IMAGE:
+        # We use a different instance image for the each instance of swe-bench eval
+        base_container_image = get_instance_docker_image(instance['instance_id'])
+        logger.info(
+            f'Using instance container image: {base_container_image}. '
+            f'Please make sure this image exists. '
+            f'Submit an issue on https://github.com/All-Hands-AI/OpenHands if you run into any issues.'
+        )
+    else:
+        base_container_image = SWE_BENCH_CONTAINER_IMAGE
+        logger.info(f'Using swe-bench container image: {base_container_image}')
 
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = base_container_image
@@ -228,65 +192,75 @@ def initialize_runtime(
     logger.info(obs, extra={'msg_type': 'OBSERVATION'})
     assert_and_raise(obs.exit_code == 0, f'Failed to export USER: {str(obs)}')
 
-    # inject the init script
-    script_dir = os.path.dirname(__file__)
+    if USE_INSTANCE_IMAGE:
+        # inject the init script
+        script_dir = os.path.dirname(__file__)
 
-    # inject the instance info
-    action = CmdRunAction(command='mkdir -p /swe_util/eval_data/instances')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(
-        obs.exit_code == 0,
-        f'Failed to create /swe_util/eval_data/instances: {str(obs)}',
-    )
+        # inject the instance info
+        action = CmdRunAction(command='mkdir -p /swe_util/eval_data/instances')
+        action.set_hard_timeout(600)
+        logger.info(action, extra={'msg_type': 'ACTION'})
+        obs = runtime.run_action(action)
+        logger.info(obs, extra={'msg_type': 'OBSERVATION'})
+        assert_and_raise(
+            obs.exit_code == 0,
+            f'Failed to create /swe_util/eval_data/instances: {str(obs)}',
+        )
 
-    swe_instance_json_name = 'swe-bench-instance.json'
-    with tempfile.TemporaryDirectory() as temp_dir:
-        # Construct the full path for the desired file name within the temporary directory
-        temp_file_path = os.path.join(temp_dir, swe_instance_json_name)
-        # Write to the file with the desired name within the temporary directory
-        with open(temp_file_path, 'w') as f:
-            if not isinstance(instance, dict):
-                json.dump([instance.to_dict()], f)
-            else:
-                json.dump([instance], f)
+        swe_instance_json_name = 'swe-bench-instance.json'
+        with tempfile.TemporaryDirectory() as temp_dir:
+            # Construct the full path for the desired file name within the temporary directory
+            temp_file_path = os.path.join(temp_dir, swe_instance_json_name)
+            # Write to the file with the desired name within the temporary directory
+            with open(temp_file_path, 'w') as f:
+                if not isinstance(instance, dict):
+                    json.dump([instance.to_dict()], f)
+                else:
+                    json.dump([instance], f)
 
-        # Copy the file to the desired location
-        runtime.copy_to(temp_file_path, '/swe_util/eval_data/instances/')
+            # Copy the file to the desired location
+            runtime.copy_to(temp_file_path, '/swe_util/eval_data/instances/')
 
         # inject the instance swe entry
         runtime.copy_to(
             str(os.path.join(script_dir, 'scripts/setup/instance_swe_entry.sh')),
             '/swe_util/',
         )
+        action = CmdRunAction(command='cat ~/.bashrc')
+        action.set_hard_timeout(600)
+        logger.info(action, extra={'msg_type': 'ACTION'})
+        obs = runtime.run_action(action)
+        logger.info(obs, extra={'msg_type': 'OBSERVATION'})
+        assert_and_raise(obs.exit_code == 0, f'Failed to cat ~/.bashrc: {str(obs)}')
 
-    action = CmdRunAction(command='cat ~/.bashrc')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(obs.exit_code == 0, f'Failed to cat ~/.bashrc: {str(obs)}')
+        action = CmdRunAction(command='source ~/.bashrc')
+        action.set_hard_timeout(600)
+        logger.info(action, extra={'msg_type': 'ACTION'})
+        obs = runtime.run_action(action)
+        logger.info(obs, extra={'msg_type': 'OBSERVATION'})
+        if isinstance(obs, ErrorObservation):
+            logger.error(f'Failed to source ~/.bashrc: {str(obs)}')
+        assert_and_raise(obs.exit_code == 0, f'Failed to source ~/.bashrc: {str(obs)}')
 
-    action = CmdRunAction(command='source ~/.bashrc')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    if isinstance(obs, ErrorObservation):
-        logger.error(f'Failed to source ~/.bashrc: {str(obs)}')
-    assert_and_raise(obs.exit_code == 0, f'Failed to source ~/.bashrc: {str(obs)}')
-
-    action = CmdRunAction(command='source /swe_util/instance_swe_entry.sh')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(
-        obs.exit_code == 0,
-        f'Failed to source /swe_util/instance_swe_entry.sh: {str(obs)}',
-    )
+        action = CmdRunAction(command='source /swe_util/instance_swe_entry.sh')
+        action.set_hard_timeout(600)
+        logger.info(action, extra={'msg_type': 'ACTION'})
+        obs = runtime.run_action(action)
+        logger.info(obs, extra={'msg_type': 'OBSERVATION'})
+        assert_and_raise(
+            obs.exit_code == 0,
+            f'Failed to source /swe_util/instance_swe_entry.sh: {str(obs)}',
+        )
+    else:
+        action = CmdRunAction(command='source /swe_util/swe_entry.sh')
+        action.set_hard_timeout(1800)
+        logger.info(action, extra={'msg_type': 'ACTION'})
+        obs = runtime.run_action(action)
+        logger.info(obs, extra={'msg_type': 'OBSERVATION'})
+        assert_and_raise(
+            obs.exit_code == 0,
+            f'Failed to source /swe_util/swe_entry.sh: {str(obs)}',
+        )
 
     action = CmdRunAction(command=f'cd /workspace/{workspace_dir_name}')
     action.set_hard_timeout(600)
@@ -381,32 +355,6 @@ def complete_runtime(
         f'Failed to git config --global core.pager "": {str(obs)}',
     )
 
-    # First check for any git repositories in subdirectories
-    action = CmdRunAction(command='find . -type d -name .git -not -path "./.git"')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(
-        isinstance(obs, CmdOutputObservation) and obs.exit_code == 0,
-        f'Failed to find git repositories: {str(obs)}',
-    )
-
-    git_dirs = [p for p in obs.content.strip().split('\n') if p]
-    if git_dirs:
-        # Remove all .git directories in subdirectories
-        for git_dir in git_dirs:
-            action = CmdRunAction(command=f'rm -rf "{git_dir}"')
-            action.set_hard_timeout(600)
-            logger.info(action, extra={'msg_type': 'ACTION'})
-            obs = runtime.run_action(action)
-            logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-            assert_and_raise(
-                isinstance(obs, CmdOutputObservation) and obs.exit_code == 0,
-                f'Failed to remove git directory {git_dir}: {str(obs)}',
-            )
-
-    # add all files
     action = CmdRunAction(command='git add -A')
     action.set_hard_timeout(600)
     logger.info(action, extra={'msg_type': 'ACTION'})
@@ -558,20 +506,6 @@ def filter_dataset(dataset: pd.DataFrame, filter_column: str) -> pd.DataFrame:
     return dataset
 
 
-# A list of instances that are known to be tricky to infer
-# (will cause runtime failure even with resource factor = 8)
-SWEGYM_EXCLUDE_IDS = [
-    'dask__dask-10422',
-    'pandas-dev__pandas-50548',
-    'pandas-dev__pandas-53672',
-    'pandas-dev__pandas-54174',
-    'pandas-dev__pandas-55518',
-    'pandas-dev__pandas-58383',
-    'pydata__xarray-6721',
-    'pytest-dev__pytest-10081',
-    'pytest-dev__pytest-7236',
-]
-
 if __name__ == '__main__':
     parser = get_parser()
     parser.add_argument(
@@ -595,13 +529,6 @@ if __name__ == '__main__':
     logger.info(
         f'Loaded dataset {args.dataset} with split {args.split}: {len(swe_bench_tests)} tasks'
     )
-    if 'SWE-Gym' in args.dataset:
-        swe_bench_tests = swe_bench_tests[
-            ~swe_bench_tests['instance_id'].isin(SWEGYM_EXCLUDE_IDS)
-        ]
-        logger.info(
-            f'{len(swe_bench_tests)} tasks left after excluding SWE-Gym excluded tasks'
-        )
 
     llm_config = None
     if args.llm_config:
@@ -645,6 +572,6 @@ if __name__ == '__main__':
         output_file,
         args.eval_num_workers,
         process_instance,
-        timeout_seconds=8 * 60 * 60,  # 8 hour PER instance should be more than enough
+        timeout_seconds=120 * 60,  # 2 hour PER instance should be more than enough
         max_retries=5,
     )

evaluation/benchmarks/swe_bench/scripts/docker/all-swebench-lite-instance-images.txt

@@ -1,300 +1,336 @@
-swebench/sweb.eval.x86_64.astropy_1776_astropy-12907:latest
-swebench/sweb.eval.x86_64.astropy_1776_astropy-14182:latest
-swebench/sweb.eval.x86_64.astropy_1776_astropy-14365:latest
-swebench/sweb.eval.x86_64.astropy_1776_astropy-14995:latest
-swebench/sweb.eval.x86_64.astropy_1776_astropy-6938:latest
-swebench/sweb.eval.x86_64.astropy_1776_astropy-7746:latest
-swebench/sweb.eval.x86_64.django_1776_django-10914:latest
-swebench/sweb.eval.x86_64.django_1776_django-10924:latest
-swebench/sweb.eval.x86_64.django_1776_django-11001:latest
-swebench/sweb.eval.x86_64.django_1776_django-11019:latest
-swebench/sweb.eval.x86_64.django_1776_django-11039:latest
-swebench/sweb.eval.x86_64.django_1776_django-11049:latest
-swebench/sweb.eval.x86_64.django_1776_django-11099:latest
-swebench/sweb.eval.x86_64.django_1776_django-11133:latest
-swebench/sweb.eval.x86_64.django_1776_django-11179:latest
-swebench/sweb.eval.x86_64.django_1776_django-11283:latest
-swebench/sweb.eval.x86_64.django_1776_django-11422:latest
-swebench/sweb.eval.x86_64.django_1776_django-11564:latest
-swebench/sweb.eval.x86_64.django_1776_django-11583:latest
-swebench/sweb.eval.x86_64.django_1776_django-11620:latest
-swebench/sweb.eval.x86_64.django_1776_django-11630:latest
-swebench/sweb.eval.x86_64.django_1776_django-11742:latest
-swebench/sweb.eval.x86_64.django_1776_django-11797:latest
-swebench/sweb.eval.x86_64.django_1776_django-11815:latest
-swebench/sweb.eval.x86_64.django_1776_django-11848:latest
-swebench/sweb.eval.x86_64.django_1776_django-11905:latest
-swebench/sweb.eval.x86_64.django_1776_django-11910:latest
-swebench/sweb.eval.x86_64.django_1776_django-11964:latest
-swebench/sweb.eval.x86_64.django_1776_django-11999:latest
-swebench/sweb.eval.x86_64.django_1776_django-12113:latest
-swebench/sweb.eval.x86_64.django_1776_django-12125:latest
-swebench/sweb.eval.x86_64.django_1776_django-12184:latest
-swebench/sweb.eval.x86_64.django_1776_django-12284:latest
-swebench/sweb.eval.x86_64.django_1776_django-12286:latest
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-swebench/sweb.eval.x86_64.django_1776_django-12589:latest
-swebench/sweb.eval.x86_64.django_1776_django-12700:latest
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-swebench/sweb.eval.x86_64.django_1776_django-12915:latest
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-swebench/sweb.eval.x86_64.django_1776_django-13033:latest
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-swebench/sweb.eval.x86_64.django_1776_django-13265:latest
-swebench/sweb.eval.x86_64.django_1776_django-13315:latest
-swebench/sweb.eval.x86_64.django_1776_django-13321:latest
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-swebench/sweb.eval.x86_64.django_1776_django-14382:latest
-swebench/sweb.eval.x86_64.django_1776_django-14411:latest
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-swebench/sweb.eval.x86_64.django_1776_django-16379:latest
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-swebench/sweb.eval.x86_64.django_1776_django-16527:latest
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-swebench/sweb.eval.x86_64.pallets_1776_flask-4045:latest
-swebench/sweb.eval.x86_64.pallets_1776_flask-4992:latest
-swebench/sweb.eval.x86_64.pallets_1776_flask-5063:latest
-swebench/sweb.eval.x86_64.psf_1776_requests-1963:latest
-swebench/sweb.eval.x86_64.psf_1776_requests-2148:latest
-swebench/sweb.eval.x86_64.psf_1776_requests-2317:latest
-swebench/sweb.eval.x86_64.psf_1776_requests-2674:latest
-swebench/sweb.eval.x86_64.psf_1776_requests-3362:latest
-swebench/sweb.eval.x86_64.psf_1776_requests-863:latest
-swebench/sweb.eval.x86_64.pydata_1776_xarray-3364:latest
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-swebench/sweb.eval.x86_64.pylint-dev_1776_pylint-5859:latest
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-swebench/sweb.eval.x86_64.pylint-dev_1776_pylint-7080:latest
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-swebench/sweb.eval.x86_64.sympy_1776_sympy-21379:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-21596:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-21612:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-21847:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-21930:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-22080:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-22456:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-22714:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-22914:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-23262:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-23413:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-23534:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-23824:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-23950:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-24066:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-24213:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-24443:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-24539:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-24562:latest
-swebench/sweb.eval.x86_64.sympy_1776_sympy-24661:latest

evaluation/benchmarks/swe_bench/scripts/docker/get_docker_image_names.py

@@ -1,50 +0,0 @@
-"""Get official docker image names for SWE-bench instances."""
-
-import argparse
-
-from datasets import load_dataset
-
-parser = argparse.ArgumentParser()
-parser.add_argument('--dataset', type=str, default='princeton-nlp/SWE-bench')
-parser.add_argument('--split', type=str, default='test')
-parser.add_argument('--output', type=str, default='swebench_images.txt')
-args = parser.parse_args()
-
-SUPPORTED_DATASET = {
-    'princeton-nlp/SWE-bench_Multimodal',
-    'princeton-nlp/SWE-bench',
-    'princeton-nlp/SWE-bench_Lite',
-    'princeton-nlp/SWE-bench_Verified',
-}
-assert args.dataset in SUPPORTED_DATASET, f'Dataset {args.dataset} not supported'
-
-
-def swebench_instance_id_to_docker_image_name(instance_id: str) -> str:
-    # swebench/sweb.eval.x86_64.django_1776_django-11333:v1
-    repo, name = instance_id.split('__')
-    return f'swebench/sweb.eval.x86_64.{repo}_1776_{name}:latest'
-
-
-def swebench_multimodal_instance_id_to_docker_image_name(instance_id: str) -> str:
-    # swebench/sweb.mm.eval.x86_64.openlayers_1776_openlayers-12172
-    repo, name = instance_id.split('__')
-    return f'swebench/sweb.mm.eval.x86_64.{repo}_1776_{name}:latest'
-
-
-dataset = load_dataset(args.dataset, split=args.split)
-instance_ids = dataset['instance_id']
-
-print(f'Loading {len(instance_ids)} instances from {args.dataset} split {args.split}')
-with open(args.output, 'w') as f:
-    for instance_id in instance_ids:
-        if args.dataset in [
-            'princeton-nlp/SWE-bench',
-            'princeton-nlp/SWE-bench_Lite',
-            'princeton-nlp/SWE-bench_Verified',
-        ]:
-            f.write(swebench_instance_id_to_docker_image_name(instance_id) + '\n')
-        else:
-            f.write(
-                swebench_multimodal_instance_id_to_docker_image_name(instance_id) + '\n'
-            )
-print(f'Saved {len(instance_ids)} images to {args.output}')

evaluation/benchmarks/swe_bench/scripts/docker/pull_all_eval_docker.sh

@@ -1,36 +1,66 @@
-#!/usr/bin/env bash
+#!/bin/bash
 set -e
 
-SET=$1
-# check set is in ["full", "lite", "verified"]
-if [ "$SET" != "full" ] && [ "$SET" != "lite" ] && [ "$SET" != "verified" ]; then
-    echo "Error: argument 1 must be one of: full, lite, verified"
+LEVEL=$1
+# three levels:
+# - base, keyword "sweb.base"
+# - env, keyword "sweb.env"
+# - instance, keyword "sweb.eval"
+SET=$2
+
+if [ -z "$LEVEL" ]; then
+    echo "Usage: $0 <cache_level> <set>"
+    echo "cache_level: base, env, or instance"
+    echo "set: lite, full"
     exit 1
 fi
 
-input_file=evaluation/benchmarks/swe_bench/scripts/docker/all-swebench-${SET}-instance-images.txt
-echo "Downloading images based on ${input_file}"
-# Check if the file exists
-if [ ! -f "$input_file" ]; then
-    echo "Error: File '$input_file' not found"
-    exit 1
+if [ -z "$SET" ]; then
+    echo "Usage: $0 <cache_level> <set>"
+    echo "cache_level: base, env, or instance"
+    echo "set: lite, full, default is lite"
+    SET="lite"
 fi
 
-# Get total number of images
-total_images=$(wc -l < "${input_file}")
-counter=0
+# Check if namespace is provided via argument $3, otherwise default to 'xingyaoww'
+NAMESPACE=${3:-xingyaoww}
 
-echo "Starting to pull ${total_images} images"
+echo "Using namespace: $NAMESPACE"
 
-# Read the file line by line and pull each image
-while IFS= read -r image; do
-    # Skip empty lines or comments
-    if [ -n "$image" ] && [[ ! "$image" =~ ^[[:space:]]*# ]]; then
-        counter=$((counter + 1))
-        echo "[${counter}/${total_images}] Pulling ${image}"
-        docker pull "${image}"
-        sleep 2
-    fi
-done < "${input_file}"
+if [ "$SET" == "lite" ]; then
+    IMAGE_FILE="$(dirname "$0")/all-swebench-lite-instance-images.txt"
+else
+    IMAGE_FILE="$(dirname "$0")/all-swebench-full-instance-images.txt"
+fi
 
-echo "Finished pulling all images"
+# Define a pattern based on the level
+case $LEVEL in
+    base)
+        PATTERN="sweb.base"
+        ;;
+    env)
+        PATTERN="sweb.base\|sweb.env"
+        ;;
+    instance)
+        PATTERN="sweb.base\|sweb.env\|sweb.eval"
+        ;;
+    *)
+        echo "Invalid cache level: $LEVEL"
+        echo "Valid levels are: base, env, instance"
+        exit 1
+        ;;
+esac
+
+echo "Pulling docker images for [$LEVEL] level"
+
+echo "Pattern: $PATTERN"
+echo "Image file: $IMAGE_FILE"
+
+# Read each line from the file, filter by pattern, and pull the docker image
+grep "$PATTERN" "$IMAGE_FILE" | while IFS= read -r image; do
+    echo "Pulling $NAMESPACE/$image into $image"
+    docker pull $NAMESPACE/$image
+    # replace _s_ to __ in the image name
+    renamed_image=$(echo "$image" | sed 's/_s_/__/g')
+    docker tag $NAMESPACE/$image $renamed_image
+done

evaluation/benchmarks/swe_bench/scripts/docker/push_eval_docker.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 
 # This is ONLY used for pushing docker images created by https://github.com/princeton-nlp/SWE-bench/blob/main/docs/20240627_docker/README.md
 

evaluation/benchmarks/swe_bench/scripts/eval/combine_final_completions.py

@@ -24,7 +24,7 @@ def load_completions(output_dir: str, instance_id: str):
     # create messages
     messages = result['messages']
     messages.append(result['response']['choices'][0]['message'])
-    tools = result['kwargs'].get('tools', [])
+    tools = result['kwargs']['tools']
     return {
         'messages': messages,
         'tools': tools,

evaluation/benchmarks/swe_bench/scripts/eval/compare_outputs.py

@@ -1,7 +1,6 @@
 #!/usr/bin/env python3
 import argparse
 import os
-import subprocess
 
 import pandas as pd
 from termcolor import colored
@@ -36,23 +35,6 @@ if args.only_x_instances:
         f'After removing instances not in X={args.input_file_1}: Y={df2.shape[0]} instances'
     )
 
-
-# Add summarization step for each input file
-def summarize_file(file_path):
-    script_dir = os.path.dirname(os.path.abspath(__file__))
-    summarize_script = os.path.join(script_dir, 'summarize_outputs.py')
-
-    print(f'\nSummary for {file_path}:')
-    print('=' * 80)
-    subprocess.run(['python', summarize_script, file_path], check=True)
-    print('=' * 80)
-
-
-# Generate summaries
-summarize_file(args.input_file_1)
-summarize_file(args.input_file_2)
-
-
 # Get the intersection of the instance_ids
 df = pd.merge(df1, df2, on='instance_id', how='inner')
 

evaluation/benchmarks/swe_bench/scripts/eval/convert_oh_folder_to_swebench_submission.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 
 FOLDER_PATH=$1
 NEW_FOLDER_PATH=${FOLDER_PATH}.swebench_submission

evaluation/benchmarks/swe_bench/scripts/eval/convert_oh_output_to_md.py

@@ -75,7 +75,7 @@ def load_completions(instance_id: str):
     # create messages
     messages = result['messages']
     messages.append(result['response']['choices'][0]['message'])
-    tools = result['kwargs'].get('tools', None)
+    tools = result['kwargs']['tools']
     return {
         'messages': messages,
         'tools': tools,
@@ -248,22 +248,6 @@ def write_row_to_md_file(row, instance_id_to_test_result):
 
     completions = load_completions(instance_id)
 
-    # report file
-    global output_dir
-    report_file = os.path.join(output_dir, 'eval_outputs', instance_id, 'report.json')
-    if os.path.exists(report_file):
-        with open(report_file, 'r') as f:
-            report = json.load(f)
-    else:
-        report = None
-
-    test_output_file = os.path.join(
-        output_dir, 'eval_outputs', instance_id, 'test_output.txt'
-    )
-    if test_output is None and os.path.exists(test_output_file):
-        with open(test_output_file, 'r') as f:
-            test_output = f.read()
-
     with open(filepath, 'w') as f:
         f.write(f'# {instance_id} (resolved: {resolved})\n')
 
@@ -285,14 +269,8 @@ def write_row_to_md_file(row, instance_id_to_test_result):
         f.write('## Model Patch\n')
         f.write(f'{process_git_patch(model_patch)}\n')
 
-        if report is not None:
-            f.write('## Report\n')
-            f.write(json.dumps(report, indent=2))
-            f.write('\n')
-
         f.write('## Test Output\n')
         f.write(str(test_output))
-        f.write('\n')
 
 
 instance_id_to_test_result = {}

evaluation/benchmarks/swe_bench/scripts/eval/update_output_with_eval.py

@@ -44,6 +44,7 @@ if os.path.exists(swebench_official_report_json):
         f"- resolved instances: {report['resolved_instances']}\n"
         f"- unresolved instances: {report['unresolved_instances']}\n"
         f"- error instances: {report['error_instances']}\n"
+        f"- unstopped instances: {report['unstopped_instances']}\n"
     )
 
     output_md += '\n## Resolved Instances\n'

evaluation/benchmarks/swe_bench/scripts/eval_infer.sh

@@ -1,4 +1,4 @@
-#!/usr/bin/env bash
+#!/bin/bash
 
 PROCESS_FILEPATH=$1
 if [ -z "$PROCESS_FILEPATH" ]; then