Update run_infer to add github prior knowledge

.github/ISSUE_TEMPLATE/bug_template.yml

@@ -30,7 +30,6 @@ body:
       description: How are you running OpenHands?
       options:
         - Docker command in README
-        - GitHub resolver
         - Development workflow
         - app.all-hands.dev
         - Other

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

@@ -19,6 +19,20 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4
+      - name: Free Disk Space (Ubuntu)
+        uses: jlumbroso/free-disk-space@main
+        with:
+          # this might remove tools that are actually needed,
+          # if set to "true" but frees about 6 GB
+          tool-cache: true
+          # all of these default to true, but feel free to set to
+          # "false" if necessary for your workflow
+          android: true
+          dotnet: true
+          haskell: true
+          large-packages: true
+          docker-images: false
+          swap-storage: true
       - name: Set up Docker Buildx
         id: buildx
         uses: docker/setup-buildx-action@v3

.github/workflows/ghcr-build.yml

@@ -41,8 +41,22 @@ jobs:
     steps:
       - name: Checkout
         uses: actions/checkout@v4
+      - name: Free Disk Space (Ubuntu)
+        uses: jlumbroso/free-disk-space@main
+        with:
+          # this might remove tools that are actually needed,
+          # if set to "true" but frees about 6 GB
+          tool-cache: true
+          # all of these default to true, but feel free to set to
+          # "false" if necessary for your workflow
+          android: true
+          dotnet: true
+          haskell: true
+          large-packages: true
+          docker-images: false
+          swap-storage: true
       - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3.4.0
+        uses: docker/setup-qemu-action@v3.3.0
         with:
           image: tonistiigi/binfmt:latest
       - name: Login to GHCR
@@ -90,8 +104,22 @@ jobs:
     steps:
       - name: Checkout
         uses: actions/checkout@v4
+      - name: Free Disk Space (Ubuntu)
+        uses: jlumbroso/free-disk-space@main
+        with:
+          # this might remove tools that are actually needed,
+          # if set to "true" but frees about 6 GB
+          tool-cache: true
+          # all of these default to true, but feel free to set to
+          # "false" if necessary for your workflow
+          android: true
+          dotnet: true
+          haskell: true
+          large-packages: true
+          docker-images: false
+          swap-storage: true
       - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3.4.0
+        uses: docker/setup-qemu-action@v3.3.0
         with:
           image: tonistiigi/binfmt:latest
       - name: Login to GHCR
@@ -191,7 +219,7 @@ jobs:
             exit 1
           fi
 
-  # Run unit tests with the Docker runtime Docker images as root
+  # Run unit tests with the EventStream runtime Docker images as root
   test_runtime_root:
     name: RT Unit Tests (Root)
     needs: [ghcr_build_runtime]
@@ -202,69 +230,20 @@ jobs:
         base_image: ['nikolaik']
     steps:
       - uses: actions/checkout@v4
-      - name: Set up Docker Buildx
-        id: buildx
-        uses: docker/setup-buildx-action@v3
-      # Forked repos can't push to GHCR, so we need to download the image as an artifact
-      - name: Download runtime image for fork
-        if: github.event.pull_request.head.repo.fork
-        uses: actions/download-artifact@v4
+      - name: Free Disk Space (Ubuntu)
+        uses: jlumbroso/free-disk-space@main
         with:
-          name: runtime-${{ matrix.base_image }}
-          path: /tmp
-      - name: Load runtime image for fork
-        if: github.event.pull_request.head.repo.fork
-        run: |
-          docker load --input /tmp/runtime-${{ matrix.base_image }}.tar
-      - name: Cache Poetry dependencies
-        uses: actions/cache@v4
-        with:
-          path: |
-            ~/.cache/pypoetry
-            ~/.virtualenvs
-          key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
-          restore-keys: |
-            ${{ runner.os }}-poetry-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.12'
-      - name: Install poetry via pipx
-        run: pipx install poetry
-      - name: Install Python dependencies using Poetry
-        run: make install-python-dependencies
-      - name: Run docker runtime tests
-        run: |
-          # We install pytest-xdist in order to run tests across CPUs
-          poetry run pip install pytest-xdist
-
-          # Install to be able to retry on failures for flaky tests
-          poetry run pip install pytest-rerunfailures
-
-          image_name=ghcr.io/${{ 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) \
-          SANDBOX_RUNTIME_CONTAINER_IMAGE=$image_name \
-          TEST_IN_CI=true \
-          RUN_AS_OPENHANDS=false \
-          poetry run pytest -n 3 -raRs --reruns 2 --reruns-delay 5 --cov=openhands --cov-report=xml -s ./tests/runtime --ignore=tests/runtime/test_browsergym_envs.py
-      - name: Upload coverage to Codecov
-        uses: codecov/codecov-action@v5
-        env:
-          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
-
-  # Run unit tests with the Docker runtime Docker images as openhands user
-  test_runtime_oh:
-    name: RT Unit Tests (openhands)
-    runs-on: ubuntu-latest
-    needs: [ghcr_build_runtime]
-    strategy:
-      matrix:
-        base_image: ['nikolaik']
-    steps:
-      - uses: actions/checkout@v4
+          # this might remove tools that are actually needed,
+          # if set to "true" but frees about 6 GB
+          tool-cache: true
+          # all of these default to true, but feel free to set to
+          # "false" if necessary for your workflow
+          android: true
+          dotnet: true
+          haskell: true
+          large-packages: true
+          docker-images: false
+          swap-storage: true
       - name: Set up Docker Buildx
         id: buildx
         uses: docker/setup-buildx-action@v3
@@ -307,7 +286,84 @@ jobs:
           image_name=ghcr.io/${{ github.repository_owner }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image }}
           image_name=$(echo $image_name | tr '[:upper:]' '[:lower:]')
 
-          TEST_RUNTIME=docker \
+          TEST_RUNTIME=eventstream \
+          SANDBOX_USER_ID=$(id -u) \
+          SANDBOX_RUNTIME_CONTAINER_IMAGE=$image_name \
+          TEST_IN_CI=true \
+          RUN_AS_OPENHANDS=false \
+          poetry run pytest -n 3 -raRs --reruns 2 --reruns-delay 5 --cov=openhands --cov-report=xml -s ./tests/runtime --ignore=tests/runtime/test_browsergym_envs.py
+      - name: Upload coverage to Codecov
+        uses: codecov/codecov-action@v5
+        env:
+          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
+
+  # Run unit tests with the EventStream runtime Docker images as openhands user
+  test_runtime_oh:
+    name: RT Unit Tests (openhands)
+    runs-on: ubuntu-latest
+    needs: [ghcr_build_runtime]
+    strategy:
+      matrix:
+        base_image: ['nikolaik']
+    steps:
+      - uses: actions/checkout@v4
+      - name: Free Disk Space (Ubuntu)
+        uses: jlumbroso/free-disk-space@main
+        with:
+          # this might remove tools that are actually needed,
+          # if set to "true" but frees about 6 GB
+          tool-cache: true
+          # all of these default to true, but feel free to set to
+          # "false" if necessary for your workflow
+          android: true
+          dotnet: true
+          haskell: true
+          large-packages: true
+          docker-images: false
+          swap-storage: true
+      - name: Set up Docker Buildx
+        id: buildx
+        uses: docker/setup-buildx-action@v3
+      # Forked repos can't push to GHCR, so we need to download the image as an artifact
+      - name: Download runtime image for fork
+        if: github.event.pull_request.head.repo.fork
+        uses: actions/download-artifact@v4
+        with:
+          name: runtime-${{ matrix.base_image }}
+          path: /tmp
+      - name: Load runtime image for fork
+        if: github.event.pull_request.head.repo.fork
+        run: |
+          docker load --input /tmp/runtime-${{ matrix.base_image }}.tar
+      - name: Cache Poetry dependencies
+        uses: actions/cache@v4
+        with:
+          path: |
+            ~/.cache/pypoetry
+            ~/.virtualenvs
+          key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
+          restore-keys: |
+            ${{ runner.os }}-poetry-
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+      - name: Install poetry via pipx
+        run: pipx install poetry
+      - name: Install Python dependencies using Poetry
+        run: make install-python-dependencies
+      - name: Run runtime tests
+        run: |
+          # We install pytest-xdist in order to run tests across CPUs
+          poetry run pip install pytest-xdist
+
+          # Install to be able to retry on failures for flaky tests
+          poetry run pip install pytest-rerunfailures
+
+          image_name=ghcr.io/${{ github.repository_owner }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image }}
+          image_name=$(echo $image_name | tr '[:upper:]' '[:lower:]')
+
+          TEST_RUNTIME=eventstream \
           SANDBOX_USER_ID=$(id -u) \
           SANDBOX_RUNTIME_CONTAINER_IMAGE=$image_name \
           TEST_IN_CI=true \

.github/workflows/integration-runner.yml

@@ -160,6 +160,7 @@ jobs:
           echo "api_key = \"$LLM_API_KEY\"" >> config.toml
           echo "base_url = \"$LLM_BASE_URL\"" >> config.toml
           echo "temperature = 0.0" >> config.toml
+
       - name: Run integration test evaluation for DelegatorAgent (DeepSeek)
         env:
           SANDBOX_FORCE_REBUILD_RUNTIME: True
@@ -173,42 +174,12 @@ jobs:
           cat $REPORT_FILE_DELEGATOR_DEEPSEEK >> $GITHUB_ENV
           echo >> $GITHUB_ENV
           echo "EOF" >> $GITHUB_ENV
-      # -------------------------------------------------------------
-      # Run VisualBrowsingAgent tests for DeepSeek, limited to t05 and t06
-      - name: Wait a little bit (again)
-        run: sleep 5
-
-      - name: Configure config.toml for testing VisualBrowsingAgent (DeepSeek)
-        env:
-          LLM_MODEL: "litellm_proxy/deepseek-chat"
-          LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
-          LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
-          MAX_ITERATIONS: 15
-        run: |
-          echo "[llm.eval]" > config.toml
-          echo "model = \"$LLM_MODEL\"" >> config.toml
-          echo "api_key = \"$LLM_API_KEY\"" >> config.toml
-          echo "base_url = \"$LLM_BASE_URL\"" >> config.toml
-          echo "temperature = 0.0" >> config.toml
-      - name: Run integration test evaluation for VisualBrowsingAgent (DeepSeek)
-        env:
-          SANDBOX_FORCE_REBUILD_RUNTIME: True
-        run: |
-          poetry run ./evaluation/integration_tests/scripts/run_infer.sh llm.eval HEAD VisualBrowsingAgent '' 15 $N_PROCESSES "t05_simple_browsing,t06_github_pr_browsing.py" 'visualbrowsing_deepseek_run'
-
-          # Find and export the visual browsing agent test results
-          REPORT_FILE_VISUALBROWSING_DEEPSEEK=$(find evaluation/evaluation_outputs/outputs/integration_tests/VisualBrowsingAgent/deepseek*_maxiter_15_N* -name "report.md" -type f | head -n 1)
-          echo "REPORT_FILE_VISUALBROWSING_DEEPSEEK: $REPORT_FILE_VISUALBROWSING_DEEPSEEK"
-          echo "INTEGRATION_TEST_REPORT_VISUALBROWSING_DEEPSEEK<<EOF" >> $GITHUB_ENV
-          cat $REPORT_FILE_VISUALBROWSING_DEEPSEEK >> $GITHUB_ENV
-          echo >> $GITHUB_ENV
-          echo "EOF" >> $GITHUB_ENV
 
       - name: Create archive of evaluation outputs
         run: |
           TIMESTAMP=$(date +'%y-%m-%d-%H-%M')
           cd evaluation/evaluation_outputs/outputs  # Change to the outputs directory
-          tar -czvf ../../../integration_tests_${TIMESTAMP}.tar.gz integration_tests/CodeActAgent/* integration_tests/DelegatorAgent/* integration_tests/VisualBrowsingAgent/* # Only include the actual result directories
+          tar -czvf ../../../integration_tests_${TIMESTAMP}.tar.gz integration_tests/CodeActAgent/* integration_tests/DelegatorAgent/*  # Only include the actual result directories
 
       - name: Upload evaluation results as artifact
         uses: actions/upload-artifact@v4
@@ -256,7 +227,4 @@ jobs:
               **Integration Tests Report Delegator (DeepSeek)**
               ${{ env.INTEGRATION_TEST_REPORT_DELEGATOR_DEEPSEEK }}
               ---
-              **Integration Tests Report VisualBrowsing (DeepSeek)**
-              ${{ env.INTEGRATION_TEST_REPORT_VISUALBROWSING_DEEPSEEK }}
-              ---
               Download testing outputs (includes both Haiku and DeepSeek results): [Download](${{ steps.upload_results_artifact.outputs.artifact-url }})

.github/workflows/openhands-resolver.yml

@@ -20,10 +20,6 @@ on:
         required: false
         type: string
         default: "anthropic/claude-3-5-sonnet-20241022"
-      LLM_API_VERSION:
-        required: false
-        type: string
-        default: ""
       base_container_image:
         required: false
         type: string
@@ -88,10 +84,6 @@ jobs:
         run: |
           python -m pip index versions openhands-ai > openhands_versions.txt
           OPENHANDS_VERSION=$(head -n 1 openhands_versions.txt | awk '{print $2}' | tr -d '()')
-          # Ensure requirements.txt ends with newline before appending
-          if [ -f requirements.txt ] && [ -s requirements.txt ]; then
-            sed -i -e '$a\' requirements.txt
-          fi
           echo "openhands-ai==${OPENHANDS_VERSION}" >> requirements.txt
           cat requirements.txt
 
@@ -120,7 +112,6 @@ jobs:
           LLM_MODEL: ${{ secrets.LLM_MODEL || inputs.LLM_MODEL }}
           LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
           LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
-          LLM_API_VERSION: ${{ inputs.LLM_API_VERSION }}
           PAT_TOKEN: ${{ secrets.PAT_TOKEN }}
           PAT_USERNAME: ${{ secrets.PAT_USERNAME }}
           GITHUB_TOKEN: ${{ github.token }}
@@ -177,7 +168,7 @@ jobs:
           echo "SANDBOX_ENV_BASE_CONTAINER_IMAGE=${{ inputs.base_container_image }}" >> $GITHUB_ENV
 
           # Set branch variables
-          echo "TARGET_BRANCH=${{ inputs.target_branch || 'main' }}" >> $GITHUB_ENV
+          echo "TARGET_BRANCH=${{ inputs.target_branch }}" >> $GITHUB_ENV
 
       - name: Comment on issue with start message
         uses: actions/github-script@v7
@@ -232,11 +223,9 @@ jobs:
         env:
           GITHUB_TOKEN: ${{ secrets.PAT_TOKEN || github.token }}
           GITHUB_USERNAME: ${{ secrets.PAT_USERNAME || 'openhands-agent' }}
-          GIT_USERNAME: ${{ secrets.PAT_USERNAME || 'openhands-agent' }}
           LLM_MODEL: ${{ secrets.LLM_MODEL || inputs.LLM_MODEL }}
           LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
           LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
-          LLM_API_VERSION: ${{ inputs.LLM_API_VERSION }}
           PYTHONPATH: ""
         run: |
           cd /tmp && python -m openhands.resolver.resolve_issue \
@@ -269,17 +258,14 @@ jobs:
         env:
           GITHUB_TOKEN: ${{ secrets.PAT_TOKEN || github.token }}
           GITHUB_USERNAME: ${{ secrets.PAT_USERNAME || 'openhands-agent' }}
-          GIT_USERNAME: ${{ secrets.PAT_USERNAME || 'openhands-agent' }}
           LLM_MODEL: ${{ secrets.LLM_MODEL || inputs.LLM_MODEL }}
           LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
           LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
-          LLM_API_VERSION: ${{ inputs.LLM_API_VERSION }}
           PYTHONPATH: ""
         run: |
           if [ "${{ steps.check_result.outputs.RESOLUTION_SUCCESS }}" == "true" ]; then
             cd /tmp && python -m openhands.resolver.send_pull_request \
               --issue-number ${{ env.ISSUE_NUMBER }} \
-              --target-branch ${{ env.TARGET_BRANCH }} \
               --pr-type draft \
               --reviewer ${{ github.actor }} | tee pr_result.txt && \
               grep "draft created" pr_result.txt | sed 's/.*\///g' > pr_number.txt

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

@@ -0,0 +1,98 @@
+# Workflow that runs python unit tests on mac
+name: Run Python Unit Tests Mac
+
+# This job is flaky so only run it nightly
+on:
+  schedule:
+    - cron: '0 0 * * *'
+
+jobs:
+  # Run python unit tests on macOS
+  test-on-macos:
+    name: Python Unit Tests on macOS
+    runs-on: macos-14
+    env:
+      INSTALL_DOCKER: '1' # Set to '0' to skip Docker installation
+    strategy:
+      matrix:
+        python-version: ['3.12']
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Cache Poetry dependencies
+        uses: actions/cache@v4
+        with:
+          path: |
+            ~/.cache/pypoetry
+            ~/.virtualenvs
+          key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
+          restore-keys: |
+            ${{ runner.os }}-poetry-
+      - name: Install tmux
+        run: brew install tmux
+      - name: Install poetry via pipx
+        run: pipx install poetry
+      - name: Install Python dependencies using Poetry
+        run: poetry install --without evaluation,llama-index
+      - name: Install & Start Docker
+        if: env.INSTALL_DOCKER == '1'
+        run: |
+          INSTANCE_NAME="colima-${GITHUB_RUN_ID}"
+
+          # Uninstall colima to upgrade to the latest version
+          if brew list colima &>/dev/null; then
+            brew uninstall colima
+            # unlinking colima dependency: go
+            brew uninstall go@1.21
+          fi
+          rm -rf ~/.colima ~/.lima
+          brew install --HEAD colima
+          brew install docker
+
+          start_colima() {
+            # Find a free port in the range 10000-20000
+            RANDOM_PORT=$((RANDOM % 10001 + 10000))
+
+            # Original line:
+            if ! colima start --network-address --arch x86_64 --cpu=1 --memory=1 --verbose --ssh-port $RANDOM_PORT; then
+              echo "Failed to start Colima."
+              return 1
+            fi
+            return 0
+          }
+
+          # Attempt to start Colima for 5 total attempts:
+          ATTEMPT_LIMIT=5
+          for ((i=1; i<=ATTEMPT_LIMIT; i++)); do
+
+            if start_colima; then
+              echo "Colima started successfully."
+              break
+            else
+              colima stop -f
+              sleep 10
+              colima delete -f
+              if [ $i -eq $ATTEMPT_LIMIT ]; then
+                exit 1
+              fi
+              sleep 10
+            fi
+          done
+
+          # For testcontainers to find the Colima socket
+          # https://github.com/abiosoft/colima/blob/main/docs/FAQ.md#cannot-connect-to-the-docker-daemon-at-unixvarrundockersock-is-the-docker-daemon-running
+          sudo ln -sf $HOME/.colima/default/docker.sock /var/run/docker.sock
+      - name: Build Environment
+        run: make build
+      - name: Set up Docker Buildx
+        id: buildx
+        uses: docker/setup-buildx-action@v3
+      - name: Run Tests
+        run: poetry run pytest --forked --cov=openhands --cov-report=xml ./tests/unit --ignore=tests/unit/test_memory.py
+      - name: Upload coverage to Codecov
+        uses: codecov/codecov-action@v5
+        env:
+          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

.github/workflows/stale.yml

@@ -19,4 +19,3 @@ jobs:
           close-issue-message: 'This issue was closed because it has been stalled for over 30 days with no activity.'
           close-pr-message: 'This PR was closed because it has been stalled for over 30 days with no activity.'
           days-before-close: 7
-          operations-per-run: 150

.openhands/microagents/glossary.md

@@ -1,172 +0,0 @@
-# OpenHands Glossary
-
-### Agent
-The core AI entity in OpenHands that can perform software development tasks by interacting with tools, browsing the web, and modifying code.
-
-#### Agent Controller
-A component that manages the agent's lifecycle, handles its state, and coordinates interactions between the agent and various tools.
-
-#### Agent Delegation
-The ability of an agent to hand off specific tasks to other specialized agents for better task completion.
-
-#### Agent Hub
-A central registry of different agent types and their capabilities, allowing for easy agent selection and instantiation.
-
-#### Agent Skill
-A specific capability or function that an agent can perform, such as file manipulation, web browsing, or code editing.
-
-#### Agent State
-The current context and status of an agent, including its memory, active tools, and ongoing tasks.
-
-#### CodeAct Agent
-[A generalist agent in OpenHands](https://arxiv.org/abs/2407.16741) designed to perform tasks by editing and executing code.
-
-### Browser
-A system for web-based interactions and tasks.
-
-#### Browser Gym
-A testing and evaluation environment for browser-based agent interactions and tasks.
-
-#### Web Browser Tool
-A tool that enables agents to interact with web pages and perform web-based tasks.
-
-### Commands
-Terminal and execution related functionality.
-
-#### Bash Session
-A persistent terminal session that maintains state and history for bash command execution.
-This uses tmux under the hood.
-
-### Configuration
-System-wide settings and options.
-
-#### Agent Configuration
-Settings that define an agent's behavior, capabilities, and limitations, including available tools and runtime settings.
-
-#### Configuration Options
-Settings that control various aspects of OpenHands behavior, including runtime, security, and agent settings.
-
-#### LLM Config
-Configuration settings for language models used by agents, including model selection and parameters.
-
-#### LLM Draft Config
-Settings for draft mode operations with language models, typically used for faster, lower-quality responses.
-
-#### Runtime Configuration
-Settings that define how the runtime environment should be set up and operated.
-
-#### Security Options
-Configuration settings that control security features and restrictions.
-
-### Conversation
-A sequence of interactions between a user and an agent, including messages, actions, and their results.
-
-#### Conversation Info
-Metadata about a conversation, including its status, participants, and timeline.
-
-#### Conversation Manager
-A component that handles the creation, storage, and retrieval of conversations.
-
-#### Conversation Metadata
-Additional information about conversations, such as tags, timestamps, and related resources.
-
-#### Conversation Status
-The current state of a conversation, including whether it's active, completed, or failed.
-
-#### Conversation Store
-A storage system for maintaining conversation history and related data.
-
-### Events
-
-#### Event
-Every Conversation comprises a series of Events. Each Event is either an Action or an Observation.
-
-#### Event Stream
-A continuous flow of events that represents the ongoing activities and interactions in the system.
-
-#### Action
-A specific operation or command that an agent executes through available tools, such as running a command or editing a file.
-
-#### Observation
-The response or result returned by a tool after an agent's action, providing feedback about the action's outcome.
-
-### Interface
-Different ways to interact with OpenHands.
-
-#### CLI Mode
-A command-line interface mode for interacting with OpenHands agents without a graphical interface.
-
-#### GUI Mode
-A graphical user interface mode for interacting with OpenHands agents through a web interface.
-
-#### Headless Mode
-A mode of operation where OpenHands runs without a user interface, suitable for automation and scripting.
-
-### Agent Memory
-The system that decides which parts of the Event Stream (i.e. the conversation history) should be passed into each LLM prompt.
-
-#### Memory Store
-A storage system for maintaining agent memory and context across sessions.
-
-#### Condenser
-A component that processes and summarizes conversation history to maintain context while staying within token limits.
-
-#### Truncation
-A very simple Condenser strategy. Reduces conversation history or content to stay within token limits.
-
-### Microagent
-A specialized prompt that enhances OpenHands with domain-specific knowledge, repository-specific context, and task-specific workflows.
-
-#### Microagent Registry
-A central repository of available microagents and their configurations.
-
-#### Public Microagent
-A general-purpose microagent available to all OpenHands users, triggered by specific keywords.
-
-#### Repository Microagent
-A type of microagent that provides repository-specific context and guidelines, stored in the `.openhands/microagents/` directory.
-
-### Prompt
-Components for managing and processing prompts.
-
-#### Prompt Caching
-A system for caching and reusing common prompts to improve performance.
-
-#### Prompt Manager
-A component that handles the loading, processing, and management of prompts used by agents, including microagents.
-
-#### Response Parsing
-The process of interpreting and structuring responses from language models and tools.
-
-### Runtime
-The execution environment where agents perform their tasks, which can be local, remote, or containerized.
-
-#### Action Execution Server
-A REST API that receives agent actions (e.g. bash commands, python code, browsing actions), executes them in the runtime environment, and returns the results.
-
-#### Action Execution Client
-A component that handles the execution of actions in the runtime environment, managing the communication between the agent and the runtime.
-
-#### Docker Runtime
-A containerized runtime environment that provides isolation and reproducibility for agent operations.
-
-#### E2B Runtime
-A specialized runtime environment built on E2B for secure and isolated code execution.
-
-#### Local Runtime
-A runtime environment that executes on the local machine, suitable for development and testing.
-
-#### Modal Runtime
-A runtime environment built on Modal for scalable and distributed agent operations.
-
-#### Remote Runtime
-A sandboxed environment that executes code and commands remotely, providing isolation and security for agent operations.
-
-#### Runtime Builder
-A component that builds a Docker image for the Action Execution Server based on a user-specified base image.
-
-### Security
-Security-related components and features.
-
-#### Security Analyzer
-A component that checks agent actions for potential security risks.

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:0.24-nikolaik`
+Example: `export SANDBOX_RUNTIME_CONTAINER_IMAGE=ghcr.io/all-hands-ai/runtime:0.20-nikolaik`
 
 ## Develop inside Docker container
 

README.md

@@ -12,7 +12,7 @@
   <a href="https://codecov.io/github/All-Hands-AI/OpenHands?branch=main"><img alt="CodeCov" src="https://img.shields.io/codecov/c/github/All-Hands-AI/OpenHands?style=for-the-badge&color=blue"></a>
   <a href="https://github.com/All-Hands-AI/OpenHands/blob/main/LICENSE"><img src="https://img.shields.io/github/license/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="MIT License"></a>
   <br/>
-  <a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2ypg5jweb-d~6hObZDbXi_HEL8PDrbHg"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="Join our Slack community"></a>
+  <a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="Join our Slack community"></a>
   <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/>
@@ -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:0.24-nikolaik
+docker pull docker.all-hands.dev/all-hands-ai/runtime:0.20-nikolaik
 
 docker run -it --rm --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.24-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.20-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:0.24
+    docker.all-hands.dev/all-hands-ai/openhands:0.20
 ```
 
 You'll find OpenHands running at [http://localhost:3000](http://localhost:3000)!
@@ -96,7 +96,7 @@ troubleshooting resources, and advanced configuration options.
 OpenHands is a community-driven project, and we welcome contributions from everyone. We do most of our communication
 through Slack, so this is the best place to start, but we also are happy to have you contact us on Discord or Github:
 
-- [Join our Slack workspace](https://join.slack.com/t/openhands-ai/shared_invite/zt-2ypg5jweb-d~6hObZDbXi_HEL8PDrbHg) - Here we talk about research, architecture, and future development.
+- [Join our Slack workspace](https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw) - Here we talk about research, architecture, and future development.
 - [Join our Discord server](https://discord.gg/ESHStjSjD4) - This is a community-run server for general discussion, questions, and feedback.
 - [Read or post Github Issues](https://github.com/All-Hands-AI/OpenHands/issues) - Check out the issues we're working on, or add your own ideas.
 

build.sh

@@ -1,4 +1,5 @@
 #!/bin/bash
 set -e
 
+cp pyproject.toml poetry.lock openhands
 poetry build -v

config.template.toml

@@ -75,7 +75,7 @@ workspace_base = "./workspace"
 #run_as_openhands = true
 
 # Runtime environment
-#runtime = "docker"
+#runtime = "eventstream"
 
 # Name of the default agent
 #default_agent = "CodeActAgent"
@@ -104,7 +104,7 @@ workspace_base = "./workspace"
 #aws_secret_access_key = ""
 
 # API key to use (For Headless / CLI only -  In Web this is overridden by Session Init)
-api_key = ""
+api_key = "your-api-key"
 
 # API base URL (For Headless / CLI only -  In Web this is overridden by Session Init)
 #base_url = ""
@@ -195,7 +195,7 @@ model = "gpt-4o"
 #native_tool_calling = None
 
 [llm.gpt4o-mini]
-api_key = ""
+api_key = "your-api-key"
 model = "gpt-4o"
 
 

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:0.24-nikolaik}
+      - SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-ghcr.io/all-hands-ai/runtime:0.20-nikolaik}
       - SANDBOX_USER_ID=${SANDBOX_USER_ID:-1234}
       - WORKSPACE_MOUNT_PATH=${WORKSPACE_BASE:-$PWD/workspace}
     ports:

dev_config/python/ruff.toml

@@ -24,6 +24,3 @@ inline-quotes = "single"
 
 [format]
 quote-style = "single"
-
-[lint.flake8-bugbear]
-extend-immutable-calls = ["Depends", "fastapi.Depends", "fastapi.params.Depends"]

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:0.24-nikolaik}
+      - SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-docker.all-hands.dev/all-hands-ai/runtime:0.20-nikolaik}
       #- SANDBOX_USER_ID=${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/i18n/fr/docusaurus-plugin-content-docs/current/usage/architecture/runtime.md

@@ -1,8 +1,8 @@
 
 
-# 📦 Runtime Docker
+# 📦 Runtime EventStream
 
-Le Runtime Docker d'OpenHands est le composant principal qui permet l'exécution sécurisée et flexible des actions des agents d'IA.
+Le Runtime EventStream d'OpenHands est le composant principal qui permet l'exécution sécurisée et flexible des actions des agents d'IA.
 Il crée un environnement en bac à sable (sandbox) en utilisant Docker, où du code arbitraire peut être exécuté en toute sécurité sans risquer le système hôte.
 
 ## Pourquoi avons-nous besoin d'un runtime en bac à sable ?

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

@@ -163,7 +163,7 @@ Les options de configuration de base sont définies dans la section `[core]` du
 
 - `runtime`
   - Type : `str`
-  - Valeur par défaut : `"docker"`
+  - Valeur par défaut : `"eventstream"`
   - Description : Environnement d'exécution
 
 - `default_agent`

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

@@ -95,3 +95,7 @@ sandbox_user_id="1001"
 ### Erreurs de port d'utilisation
 
 Si vous voyez un message d'erreur indiquant que le port est utilisé ou indisponible, essayez de supprimer toutes les containers docker en cours d'exécution (exécutez `docker ps` et `docker rm` des containers concernés) puis ré-exécutez ```make run```
+
+## Discuter
+
+Pour d'autres problèmes ou questions rejoignez le [Slack](https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw) ou le [Discord](https://discord.gg/ESHStjSjD4) et demandez!

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:0.24-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.20-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:0.24 \
+    docker.all-hands.dev/all-hands-ai/openhands:0.20 \
     python -m openhands.core.cli
 ```
 

docs/i18n/fr/docusaurus-plugin-content-docs/current/usage/how-to/evaluation-harness.md

@@ -114,7 +114,7 @@ Pour créer un workflow d'évaluation pour votre benchmark, suivez ces étapes :
    def get_config(instance: pd.Series, metadata: EvalMetadata) -> AppConfig:
        config = AppConfig(
            default_agent=metadata.agent_class,
-           runtime='docker',
+           runtime='eventstream',
            max_iterations=metadata.max_iterations,
            sandbox=SandboxConfig(
                base_container_image='your_container_image',

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:0.24-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.20-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:0.24 \
+    docker.all-hands.dev/all-hands-ai/openhands:0.20 \
     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:0.24-nikolaik
+docker pull docker.all-hands.dev/all-hands-ai/runtime:0.20-nikolaik
 
 docker run -it --rm --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.24-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.20-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:0.24
+    docker.all-hands.dev/all-hands-ai/openhands:0.20
 ```
 
 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/intro.mdx

@@ -42,7 +42,7 @@ Explorez le code source d'OpenHands sur [GitHub](https://github.com/All-Hands-AI
   />
 </a>
 <br></br>
-<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2ypg5jweb-d~6hObZDbXi_HEL8PDrbHg">
+<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw">
   <img
     src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge"
     alt="Join our Slack community"

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:0.24-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.20-nikolaik \
     -v /var/run/docker.sock:/var/run/docker.sock \
     # ...
 ```

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

@@ -1,8 +1,8 @@
 以下是翻译后的内容:
 
-# 📦 Docker 运行时
+# 📦 EventStream 运行时
 
-OpenHands Docker 运行时是实现 AI 代理操作安全灵活执行的核心组件。
+OpenHands EventStream 运行时是实现 AI 代理操作安全灵活执行的核心组件。
 它使用 Docker 创建一个沙盒环境,可以安全地运行任意代码而不会危及主机系统。
 
 ## 为什么我们需要沙盒运行时?

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

@@ -162,7 +162,7 @@
 
 - `runtime`
   - 类型: `str`
-  - 默认值: `"docker"`
+  - 默认值: `"eventstream"`
   - 描述: 运行时环境
 
 - `default_agent`

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

@@ -96,3 +96,7 @@ sandbox_user_id="1001"
 ### 端口使用错误
 
 如果您遇到端口被占用或不可用的错误提示，可以尝试先用`docker ps`命令列出所有运行中的 Docker 容器，然后使用`docker rm`命令删除相关容器，最后再重新执行```make run```命令。
+
+## 讨论
+
+对于其他问题或疑问，请加入 [Slack](https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw) 或 [Discord](https://discord.gg/ESHStjSjD4) 提问！

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:0.24-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.20-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:0.24 \
+    docker.all-hands.dev/all-hands-ai/openhands:0.20 \
     python -m openhands.core.cli
 ```
 

docs/i18n/zh-Hans/docusaurus-plugin-content-docs/current/usage/how-to/evaluation-harness.md

@@ -112,7 +112,7 @@ OpenHands 的主要入口点在 `openhands/core/main.py` 中。以下是它的
    def get_config(instance: pd.Series, metadata: EvalMetadata) -> AppConfig:
        config = AppConfig(
            default_agent=metadata.agent_class,
-           runtime='docker',
+           runtime='eventstream',
            max_iterations=metadata.max_iterations,
            sandbox=SandboxConfig(
                base_container_image='your_container_image',

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:0.24-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.20-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:0.24 \
+    docker.all-hands.dev/all-hands-ai/openhands:0.20 \
     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:0.24-nikolaik
+docker pull docker.all-hands.dev/all-hands-ai/runtime:0.20-nikolaik
 
 docker run -it --rm --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.24-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.20-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:0.24
+    docker.all-hands.dev/all-hands-ai/openhands:0.20
 ```
 
 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/intro.mdx

@@ -42,7 +42,7 @@ OpenHands 是一个**自主 AI 软件工程师**，能够执行复杂的工程
   />
 </a>
 <br></br>
-<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2ypg5jweb-d~6hObZDbXi_HEL8PDrbHg">
+<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw">
   <img
     src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge"
     alt="Join our Slack community"

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:0.24-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.20-nikolaik \
     -v /var/run/docker.sock:/var/run/docker.sock \
     # ...
 ```

docs/modules/usage/architecture/runtime.md

@@ -1,6 +1,6 @@
-# 📦 Docker Runtime
+# 📦 EventStream Runtime
 
-The OpenHands Docker Runtime is the core component that enables secure and flexible execution of AI agent's action.
+The OpenHands EventStream Runtime is the core component that enables secure and flexible execution of AI agent's action.
 It creates a sandboxed environment using Docker, where arbitrary code can be run safely without risking the host system.
 
 ## Why do we need a sandboxed runtime?
@@ -54,13 +54,14 @@ graph TD
 6. Action Execution: The runtime client receives actions from the backend, executes them in the sandboxed environment, and sends back observations
 7. Observation Return: The action execution server sends execution results back to the OpenHands backend as observations
 
-The role of the client:
 
+The role of the client:
 - It acts as an intermediary between the OpenHands backend and the sandboxed environment
 - It executes various types of actions (shell commands, file operations, Python code, etc.) safely within the container
 - It manages the state of the sandboxed environment, including the current working directory and loaded plugins
 - It formats and returns observations to the backend, ensuring a consistent interface for processing results
 
+
 ## How OpenHands builds and maintains OH Runtime images
 
 OpenHands' approach to building and managing runtime images ensures efficiency, consistency, and flexibility in creating and maintaining Docker images for both production and development environments.
@@ -77,15 +78,16 @@ Tags may be in one of 2 formats:
 - **Source Tag**: `oh_v{openhands_version}_{16_digit_lock_hash}_{16_digit_source_hash}`
   (e.g.: `oh_v0.9.9_1234567890abcdef_1234567890abcdef`)
 
+
 #### Source Tag - Most Specific
 
 This is the first 16 digits of the MD5 of the directory hash for the source directory. This gives a hash
 for only the openhands source
 
+
 #### Lock Tag
 
 This hash is built from the first 16 digits of the MD5 of:
-
 - The name of the base image upon which the image was built (e.g.: `nikolaik/python-nodejs:python3.12-nodejs22`)
 - The content of the `pyproject.toml` included in the image.
 - The content of the `poetry.lock` included in the image.

docs/modules/usage/cloud/cloud-github-resolver.md

@@ -1,21 +0,0 @@
-# Cloud GitHub Resolver
-
-The GitHub Resolver automates code fixes and provides intelligent assistance for your repositories.
-
-## Setup
-
-The Cloud Github Resolver is available automatically when you
-[grant OpenHands Cloud repository access](./openhands-cloud.md#adding-repositories).
-
-## Usage
-
-### Issues
-
-On your repository, label an issue with `openhands`. OpenHands will attempt to fix the issue.
-
-### Pull Requests
-
-In order to get OpenHands to work on pull requests, use `@openhands` in top level or single inline comments to:
-     - Ask questions
-     - Request updates
-     - Get code explanations

docs/modules/usage/cloud/openhands-cloud.md

@@ -1,39 +0,0 @@
-# Openhands Cloud
-
-OpenHands Cloud is the cloud hosted version of OpenHands by All Hands AI.
-
-## Accessing OpenHands Cloud
-
-Currently, users are being admitted to access OpenHands Cloud in waves. To sign up,
-[join the waitlist](https://www.all-hands.dev/join-waitlist). Once you are approved, you will get an email with
-instructions on how to access it.
-
-## Getting Started
-
-After visiting OpenHands Cloud, you will be asked to connect with your GitHub account:
-1. After reading and accepting the terms of service, click `Connect to GitHub`.
-2. Review the permissions requested by OpenHands and then click `Authorize OpenHands by All Hands AI`.
-   - OpenHands will require some permissions from your GitHub account. To read more about these permissions,
-     you can click the `Learn more` link on the GitHub authorize page.
-
-## Adding Repositories
-
-You can grant OpenHands specific repository access:
-1. Under the `Select a GitHub project` dropdown, select `Add more repositories...`.
-2. Select the organization, then choose the specific repositories to grant OpenHands access to.
-   - Openhands requests short-lived tokens (8-hour expiry) with these permissions:
-     - Actions: Read and write
-     - Administration: Read-only
-     - Commit statuses: Read and write
-     - Contents: Read and write
-     - Issues: Read and write
-     - Metadata: Read-only
-     - Pull requests: Read and write
-     - Webhooks: Read and write
-     - Workflows: Read and write
-   - Repository access for a user is granted based on:
-     - Granted permission for the repository.
-     - User's GitHub permissions (owner/collaborator).
-
-You can manage repository access any time by following the above workflow or visiting the Settings page and selecting
-`Configure GitHub Repositories` under the `GitHub Settings` section.

docs/modules/usage/configuration-options.md

@@ -126,7 +126,7 @@ The core configuration options are defined in the `[core]` section of the `confi
 
 - `runtime`
   - Type: `str`
-  - Default: `"docker"`
+  - Default: `"eventstream"`
   - Description: Runtime environment
 
 - `default_agent`

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:0.24-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.20-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:0.24 \
+    docker.all-hands.dev/all-hands-ai/openhands:0.20 \
     python -m openhands.core.cli
 ```
 

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

@@ -41,16 +41,8 @@ docker build -t custom-image .
 
 This will produce a new image called `custom-image`, which will be available in Docker.
 
-## Using the Docker Command
-
-When running OpenHands using [the docker command](/modules/usage/installation#start-the-app), replace
-`-e SANDBOX_RUNTIME_CONTAINER_IMAGE=...` with `-e SANDBOX_BASE_CONTAINER_IMAGE=<custom image name>`:
-
-```commandline
-docker run -it --rm --pull=always \
-    -e SANDBOX_BASE_CONTAINER_IMAGE=custom-image \
-    ...
-```
+> Note that in the configuration described in this document, OpenHands will run as user "openhands" inside the
+> sandbox and thus all packages installed via the docker file should be available to all users on the system, not just root.
 
 ## Using the Development Workflow
 

docs/modules/usage/how-to/evaluation-harness.md

@@ -112,7 +112,7 @@ To create an evaluation workflow for your benchmark, follow these steps:
    def get_config(instance: pd.Series, metadata: EvalMetadata) -> AppConfig:
        config = AppConfig(
            default_agent=metadata.agent_class,
-           runtime='docker',
+           runtime='eventstream',
            max_iterations=metadata.max_iterations,
            sandbox=SandboxConfig(
                base_container_image='your_container_image',

docs/modules/usage/how-to/github-action.md

@@ -42,10 +42,9 @@ You can provide custom directions for OpenHands by following the [README for the
 Github resolver will automatically check for valid [repository secrets](https://docs.github.com/en/actions/security-for-github-actions/security-guides/using-secrets-in-github-actions?tool=webui#creating-secrets-for-a-repository) or [repository variables](https://docs.github.com/en/actions/writing-workflows/choosing-what-your-workflow-does/store-information-in-variables#creating-configuration-variables-for-a-repository) to customize its behavior.
 The customization options you can set are:
 
-| **Attribute name**               | **Type** | **Purpose**                                                                                         | **Example**                                        |
-| -------------------------------- | -------- | --------------------------------------------------------------------------------------------------- | -------------------------------------------------- |
-| `LLM_MODEL`                      | Variable | Set the LLM to use with OpenHands                                                                   | `LLM_MODEL="anthropic/claude-3-5-sonnet-20241022"` |
-| `OPENHANDS_MAX_ITER`             | Variable | Set max limit for agent iterations                                                                  | `OPENHANDS_MAX_ITER=10`                            |
-| `OPENHANDS_MACRO`                | Variable | Customize default macro for invoking the resolver                                                   | `OPENHANDS_MACRO=@resolveit`                       |
-| `OPENHANDS_BASE_CONTAINER_IMAGE` | Variable | Custom Sandbox ([learn more](https://docs.all-hands.dev/modules/usage/how-to/custom-sandbox-guide)) | `OPENHANDS_BASE_CONTAINER_IMAGE="custom_image"`    |
-| `TARGET_BRANCH`                  | Variable | Merge to branch other than `main`                                                                   | `TARGET_BRANCH="dev"`                              |
+| **Attribute name**               | **Type** | **Purpose**                                                                                                 | **Example**                                          |
+|----------------------------------| -------- |-------------------------------------------------------------------------------------------------------------|------------------------------------------------------|
+| `LLM_MODEL`                      | Variable | Set the LLM to use with OpenHands                                                                           | `LLM_MODEL="anthropic/claude-3-5-sonnet-20241022"`   |
+| `OPENHANDS_MAX_ITER`             | Variable | Set max limit for agent iterations                                                                          | `OPENHANDS_MAX_ITER=10`                              |
+| `OPENHANDS_MACRO`                | Variable | Customize default macro for invoking the resolver                                                           | `OPENHANDS_MACRO=@resolveit`                         |
+| `OPENHANDS_BASE_CONTAINER_IMAGE` | Variable | Custom Sandbox ([learn more](https://docs.all-hands.dev/modules/usage/how-to/custom-sandbox-guide))         | `OPENHANDS_BASE_CONTAINER_IMAGE="custom_image"`      |

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:0.24-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.20-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:0.24 \
+    docker.all-hands.dev/all-hands-ai/openhands:0.20 \
     python -m openhands.core.main -t "write a bash script that prints hi"
 ```
 

docs/modules/usage/installation.mdx

@@ -6,8 +6,6 @@
 - Linux
 - Windows with [WSL](https://learn.microsoft.com/en-us/windows/wsl/install) and [Docker Desktop support](https://docs.docker.com/desktop/setup/install/windows-install/#system-requirements)
 
-A system with a modern processor and a minimum of **4GB RAM** is recommended to run OpenHands.
-
 ## Prerequisites
 
 <details>
@@ -45,10 +43,6 @@ A system with a modern processor and a minimum of **4GB RAM** is recommended to
   - General: `Use the WSL 2 based engine` is enabled.
   - Resources > WSL Integration: `Enable integration with my default WSL distro` is enabled.
 
-  :::note
-  The docker command below to start the app must be run inside the WSL terminal.
-  :::
-
 </details>
 
 ## Start the App
@@ -56,17 +50,17 @@ 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:0.24-nikolaik
+docker pull docker.all-hands.dev/all-hands-ai/runtime:0.20-nikolaik
 
 docker run -it --rm --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.24-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.20-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:0.24
+    docker.all-hands.dev/all-hands-ai/openhands:0.20
 ```
 
 You'll find OpenHands running at http://localhost:3000!

docs/modules/usage/llms/llms.md

@@ -63,22 +63,22 @@ We have a few guides for running OpenHands with specific model providers:
 ### API retries and rate limits
 
 LLM providers typically have rate limits, sometimes very low, and may require retries. OpenHands will automatically
-retry requests if it receives a Rate Limit Error (429 error code).
+retry requests if it receives a Rate Limit Error (429 error code), API connection error, or other transient errors.
 
 You can customize these options as you need for the provider you're using. Check their documentation, and set the
 following environment variables to control the number of retries and the time between retries:
 
-- `LLM_NUM_RETRIES` (Default of 4 times)
-- `LLM_RETRY_MIN_WAIT` (Default of 5 seconds)
-- `LLM_RETRY_MAX_WAIT` (Default of 30 seconds)
+- `LLM_NUM_RETRIES` (Default of 8)
+- `LLM_RETRY_MIN_WAIT` (Default of 15 seconds)
+- `LLM_RETRY_MAX_WAIT` (Default of 120 seconds)
 - `LLM_RETRY_MULTIPLIER` (Default of 2)
 
 If you are running OpenHands in development mode, you can also set these options in the `config.toml` file:
 
 ```toml
 [llm]
-num_retries = 4
-retry_min_wait = 5
-retry_max_wait = 30
+num_retries = 8
+retry_min_wait = 15
+retry_max_wait = 120
 retry_multiplier = 2
 ```

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:0.24-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.20-nikolaik \
     -v /var/run/docker.sock:/var/run/docker.sock \
     # ...
 ```

docs/package.json

@@ -22,8 +22,8 @@
     "@mdx-js/react": "^3.1.0",
     "clsx": "^2.0.0",
     "prism-react-renderer": "^2.4.1",
-    "react": "^19.0.0",
-    "react-dom": "^19.0.0",
+    "react": "^18.3.1",
+    "react-dom": "^18.3.1",
     "react-icons": "^5.4.0",
     "react-use": "^17.6.0"
   },
@@ -31,7 +31,7 @@
     "@docusaurus/module-type-aliases": "^3.5.1",
     "@docusaurus/tsconfig": "^3.7.0",
     "@docusaurus/types": "^3.5.1",
-    "typescript": "~5.7.3"
+    "typescript": "~5.7.2"
   },
   "browserslist": {
     "production": [

docs/sidebars.ts

@@ -42,7 +42,7 @@ const sidebars: SidebarsConfig = {
               id: 'usage/prompting/microagents-public',
             },
           ],
-        },
+        }
       ],
     },
     {
@@ -69,23 +69,6 @@ const sidebars: SidebarsConfig = {
           label: 'Github Actions',
           id: 'usage/how-to/github-action',
         },
-        {
-          type: 'category',
-          label: 'Cloud',
-          items: [
-            {
-              type: 'doc',
-              label: 'Openhands Cloud',
-              id: 'usage/cloud/openhands-cloud',
-            },
-
-            {
-              type: 'doc',
-              label: 'Cloud GitHub Resolver',
-              id: 'usage/cloud/cloud-github-resolver',
-            },
-          ],
-        },
       ],
     },
     {
@@ -202,7 +185,7 @@ const sidebars: SidebarsConfig = {
       type: 'doc',
       label: 'About',
       id: 'usage/about',
-    },
+    }
   ],
 };
 

docs/src/components/CustomFooter.tsx

@@ -8,7 +8,7 @@ function CustomFooter() {
     <footer className="custom-footer">
       <div className="footer-content">
         <div className="footer-icons">
-          <a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2ypg5jweb-d~6hObZDbXi_HEL8PDrbHg" target="_blank" rel="noopener noreferrer">
+          <a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw" target="_blank" rel="noopener noreferrer">
             <FaSlack />
           </a>
           <a href="https://discord.gg/ESHStjSjD4" target="_blank" rel="noopener noreferrer">

docs/src/components/HomepageHeader/HomepageHeader.tsx

@@ -23,7 +23,7 @@ export function HomepageHeader() {
           <a href="https://codecov.io/github/All-Hands-AI/OpenHands?branch=main"><img alt="CodeCov" src="https://img.shields.io/codecov/c/github/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" /></a>
           <a href="https://github.com/All-Hands-AI/OpenHands/blob/main/LICENSE"><img src="https://img.shields.io/github/license/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="MIT License" /></a>
           <br/>
-          <a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2ypg5jweb-d~6hObZDbXi_HEL8PDrbHg"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="Join our Slack community" /></a>
+          <a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="Join our Slack community" /></a>
           <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/>

evaluation/benchmarks/EDA/run_infer.py

@@ -9,7 +9,6 @@ from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -18,6 +17,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     get_parser,
 )
@@ -60,14 +60,16 @@ AGENT_CLS_TO_INST_SUFFIX = {
 def get_config(
     metadata: EvalMetadata,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'python:3.12-bookworm'
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime='docker',
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='python:3.12-bookworm',
+            enable_auto_lint=False,
+            use_host_network=False,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/agent_bench/run_infer.py

@@ -17,7 +17,6 @@ from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -26,6 +25,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     parse_arguments,
 )
@@ -40,15 +40,20 @@ from openhands.utils.async_utils import call_async_from_sync
 def get_config(
     metadata: EvalMetadata,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'python:3.12-slim'
-
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime=os.environ.get('RUNTIME', 'docker'),
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='python:3.12-slim',
+            enable_auto_lint=True,
+            use_host_network=False,
+            api_key=os.environ.get('ALLHANDS_API_KEY', None),
+            remote_runtime_api_url=os.environ.get('SANDBOX_REMOTE_RUNTIME_API_URL'),
+            keep_runtime_alive=False,
+            remote_runtime_init_timeout=3600,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/aider_bench/run_infer.py

@@ -16,7 +16,6 @@ from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -25,6 +24,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     load_from_toml,
     parse_arguments,
@@ -47,14 +47,21 @@ SKIP_NUM = (
 def get_config(
     metadata: EvalMetadata,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'python:3.11-bookworm'
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime=os.environ.get('RUNTIME', 'docker'),
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='python:3.11-bookworm',
+            enable_auto_lint=True,
+            use_host_network=False,
+            timeout=100,
+            api_key=os.environ.get('ALLHANDS_API_KEY', None),
+            remote_runtime_api_url=os.environ.get('SANDBOX_REMOTE_RUNTIME_API_URL'),
+            keep_runtime_alive=False,
+            remote_runtime_init_timeout=1800,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/biocoder/run_infer.py

@@ -14,7 +14,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     codeact_user_response,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -23,6 +22,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     parse_arguments,
 )
@@ -57,15 +57,17 @@ def get_config(
     metadata: EvalMetadata,
 ) -> AppConfig:
     BIOCODER_BENCH_CONTAINER_IMAGE = 'public.ecr.aws/i5g0m1f6/eval_biocoder:v1.0'
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = BIOCODER_BENCH_CONTAINER_IMAGE
 
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime='docker',
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image=BIOCODER_BENCH_CONTAINER_IMAGE,
+            enable_auto_lint=True,
+            use_host_network=False,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/bird/run_infer.py

@@ -17,7 +17,6 @@ from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -26,6 +25,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     parse_arguments,
 )
@@ -71,15 +71,16 @@ AGENT_CLS_TO_INST_SUFFIX = {
 def get_config(
     metadata: EvalMetadata,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'python:3.12-bookworm'
-
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime='docker',
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='python:3.12-bookworm',
+            enable_auto_lint=True,
+            use_host_network=False,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/browsing_delegation/run_infer.py

@@ -10,7 +10,6 @@ from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -19,6 +18,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     parse_arguments,
 )
@@ -36,14 +36,16 @@ def get_config(
     assert (
         metadata.max_iterations == 1
     ), 'max_iterations must be 1 for browsing delegation evaluation.'
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'python:3.12-bookworm'
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime='docker',
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='python:3.12-bookworm',
+            enable_auto_lint=False,
+            use_host_network=False,
+        ),
         workspace_base=None,
         workspace_mount_path=None,
     )

evaluation/benchmarks/commit0_bench/run_infer.py

@@ -15,7 +15,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     assert_and_raise,
     codeact_user_response,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -26,6 +25,7 @@ from openhands.controller.state.state import State
 from openhands.core.config import (
     AgentConfig,
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     get_parser,
 )
@@ -105,7 +105,9 @@ def get_config(
     instance: pd.Series,
     metadata: EvalMetadata,
 ) -> AppConfig:
+    # COMMIT0_CONTAINER_IMAGE = 'wentingzhao/'
     assert USE_INSTANCE_IMAGE
+    # We use a different instance image for the each instance of commit0 eval
     repo_name = instance['repo'].split('/')[1]
     base_container_image = get_instance_docker_image(repo_name)
     logger.info(
@@ -113,16 +115,27 @@ def get_config(
         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.'
     )
-
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = base_container_image
+    # else:
+    #     raise
+    # base_container_image = SWE_BENCH_CONTAINER_IMAGE
+    # logger.info(f'Using swe-bench container image: {base_container_image}')
 
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         max_iterations=metadata.max_iterations,
         runtime=os.environ.get('RUNTIME', 'docker'),
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image=base_container_image,
+            enable_auto_lint=True,
+            use_host_network=False,
+            # large enough timeout, since some testcases take very long to run
+            timeout=300,
+            api_key=os.environ.get('ALLHANDS_API_KEY', None),
+            remote_runtime_api_url=os.environ.get('SANDBOX_REMOTE_RUNTIME_API_URL'),
+            keep_runtime_alive=False,
+            remote_runtime_init_timeout=3600,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/discoverybench/run_infer.py

@@ -16,7 +16,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     codeact_user_response,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -26,6 +25,7 @@ from openhands.controller.state.state import State
 from openhands.core.config import (
     AgentConfig,
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     parse_arguments,
 )
@@ -62,14 +62,16 @@ AGENT_CLS_TO_INST_SUFFIX = {
 def get_config(
     metadata: EvalMetadata,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'python:3.12-bookworm'
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime='docker',
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='python:3.12-bookworm',
+            enable_auto_lint=True,
+            use_host_network=False,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/gaia/run_infer.py

@@ -13,7 +13,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     codeact_user_response,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -22,10 +21,10 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     get_parser,
 )
-from openhands.core.config.utils import get_agent_config_arg
 from openhands.core.logger import openhands_logger as logger
 from openhands.core.main import create_runtime, run_controller
 from openhands.events.action import AgentFinishAction, CmdRunAction, MessageAction
@@ -48,25 +47,23 @@ AGENT_CLS_TO_INST_SUFFIX = {
 def get_config(
     metadata: EvalMetadata,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'python:3.12-bookworm'
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime='docker',
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='python:3.12-bookworm',
+            enable_auto_lint=True,
+            use_host_network=False,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
-    if metadata.agent_config:
-        config.set_agent_config(metadata.agent_config, metadata.agent_class)
-    else:
-        logger.info('Agent config not provided, using default settings')
-        agent_config = config.get_agent_config(metadata.agent_class)
-        agent_config.enable_prompt_extensions = False
+    agent_config = config.get_agent_config(metadata.agent_class)
+    agent_config.enable_prompt_extensions = False
     return config
 
 
@@ -240,10 +237,6 @@ if __name__ == '__main__':
     )
     args, _ = parser.parse_known_args()
 
-    agent_config = None
-    if args.agent_config:
-        agent_config = get_agent_config_arg(args.agent_config)
-
     llm_config = None
     if args.llm_config:
         llm_config = get_llm_config_arg(args.llm_config)
@@ -262,7 +255,6 @@ if __name__ == '__main__':
         eval_output_dir=args.eval_output_dir,
         data_split=args.data_split,
         details={'gaia-level': args.level},
-        agent_config=agent_config,
     )
 
     dataset = load_dataset('gaia-benchmark/GAIA', args.level)

evaluation/benchmarks/gaia/scripts/run_infer.sh

@@ -9,7 +9,6 @@ AGENT=$3
 EVAL_LIMIT=$4
 LEVELS=$5
 NUM_WORKERS=$6
-AGENT_CONFIG=$7
 
 if [ -z "$NUM_WORKERS" ]; then
   NUM_WORKERS=1
@@ -50,9 +49,5 @@ if [ -n "$EVAL_LIMIT" ]; then
   COMMAND="$COMMAND --eval-n-limit $EVAL_LIMIT"
 fi
 
-if [ -n "$AGENT_CONFIG" ]; then
-  echo "AGENT_CONFIG: $AGENT_CONFIG"
-  COMMAND="$COMMAND --agent-config $AGENT_CONFIG"
-
 # Run the command
 eval $COMMAND

evaluation/benchmarks/gorilla/run_infer.py

@@ -11,7 +11,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     codeact_user_response,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -20,6 +19,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     get_parser,
 )
@@ -40,14 +40,16 @@ AGENT_CLS_TO_INST_SUFFIX = {
 def get_config(
     metadata: EvalMetadata,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'python:3.12-bookworm'
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime='docker',
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='python:3.12-bookworm',
+            enable_auto_lint=True,
+            use_host_network=False,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/gpqa/run_infer.py

@@ -29,7 +29,6 @@ from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -38,6 +37,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     get_parser,
 )
@@ -61,14 +61,16 @@ ACTION_FORMAT = """
 def get_config(
     metadata: EvalMetadata,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'python:3.12-bookworm'
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime='docker',
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='python:3.12-bookworm',
+            enable_auto_lint=True,
+            use_host_network=False,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/humanevalfix/run_infer.py

@@ -22,7 +22,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     codeact_user_response,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -31,6 +30,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     parse_arguments,
 )
@@ -82,14 +82,16 @@ AGENT_CLS_TO_INST_SUFFIX = {
 def get_config(
     metadata: EvalMetadata,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'python:3.12-bookworm'
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime='docker',
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='python:3.12-bookworm',
+            enable_auto_lint=True,
+            use_host_network=False,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/logic_reasoning/run_infer.py

@@ -9,7 +9,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     codeact_user_response,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -18,6 +17,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     get_parser,
 )
@@ -45,18 +45,17 @@ AGENT_CLS_TO_INST_SUFFIX = {
 def get_config(
     metadata: EvalMetadata,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'xingyaoww/od-eval-logic-reasoning:v1.0'
-    sandbox_config.runtime_extra_deps = (
-        '$OH_INTERPRETER_PATH -m pip install scitools-pyke'
-    )
-
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime='docker',
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='xingyaoww/od-eval-logic-reasoning:v1.0',
+            enable_auto_lint=True,
+            use_host_network=False,
+            runtime_extra_deps='$OH_INTERPRETER_PATH -m pip install scitools-pyke',
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/miniwob/run_infer.py

@@ -12,7 +12,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     codeact_user_response,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -22,6 +21,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     parse_arguments,
 )
@@ -55,14 +55,22 @@ def get_config(
     metadata: EvalMetadata,
     env_id: str,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'xingyaoww/od-eval-miniwob:v1.0'
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime=os.environ.get('RUNTIME', 'docker'),
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='xingyaoww/od-eval-miniwob:v1.0',
+            enable_auto_lint=True,
+            use_host_network=False,
+            browsergym_eval_env=env_id,
+            api_key=os.environ.get('ALLHANDS_API_KEY', None),
+            remote_runtime_api_url=os.environ.get('SANDBOX_REMOTE_RUNTIME_API_URL'),
+            remote_runtime_init_timeout=1800,
+            keep_runtime_alive=False,
+            timeout=120,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/mint/run_infer.py

@@ -14,7 +14,6 @@ from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -23,6 +22,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     get_parser,
 )
@@ -103,18 +103,17 @@ def load_incontext_example(task_name: str, with_tool: bool = True):
 def get_config(
     metadata: EvalMetadata,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'xingyaoww/od-eval-mint:v1.0'
-    sandbox_config.runtime_extra_deps = (
-        f'$OH_INTERPRETER_PATH -m pip install {" ".join(MINT_DEPENDENCIES)}'
-    )
-
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime='docker',
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='xingyaoww/od-eval-mint:v1.0',
+            enable_auto_lint=True,
+            use_host_network=False,
+            runtime_extra_deps=f'$OH_INTERPRETER_PATH -m pip install {" ".join(MINT_DEPENDENCIES)}',
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/ml_bench/run_infer.py

@@ -25,7 +25,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     codeact_user_response,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -34,6 +33,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     get_parser,
     load_app_config,
@@ -77,14 +77,16 @@ ID2CONDA = {
 def get_config(
     metadata: EvalMetadata,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'public.ecr.aws/i5g0m1f6/ml-bench'
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime='docker',
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='public.ecr.aws/i5g0m1f6/ml-bench',
+            enable_auto_lint=True,
+            use_host_network=False,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/scienceagentbench/run_infer.py

@@ -11,7 +11,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     codeact_user_response,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -21,6 +20,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     get_parser,
 )
@@ -59,17 +59,21 @@ def get_config(
     metadata: EvalMetadata,
     instance_id: str,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = (
-        'docker.io/xingyaoww/openhands-eval-scienceagentbench'
-    )
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime=os.environ.get('RUNTIME', 'docker'),
         max_budget_per_task=4,
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='docker.io/xingyaoww/openhands-eval-scienceagentbench',
+            enable_auto_lint=True,
+            use_host_network=False,
+            timeout=300,
+            api_key=os.environ.get('ALLHANDS_API_KEY', None),
+            remote_runtime_api_url=os.environ.get('SANDBOX_REMOTE_RUNTIME_API_URL'),
+            keep_runtime_alive=False,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/swe_bench/eval_infer.py

@@ -1,6 +1,5 @@
 import json
 import os
-import subprocess
 import tempfile
 import time
 from functools import partial
@@ -22,14 +21,13 @@ from evaluation.benchmarks.swe_bench.run_infer import get_instance_docker_image
 from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
-    get_default_sandbox_config_for_eval,
     prepare_dataset,
     reset_logger_for_multiprocessing,
     run_evaluation,
 )
 from openhands.core.config import (
     AppConfig,
-    LLMConfig,
+    SandboxConfig,
     get_parser,
 )
 from openhands.core.logger import openhands_logger as logger
@@ -81,16 +79,22 @@ def get_config(metadata: EvalMetadata, instance: pd.Series) -> AppConfig:
         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.'
     )
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = base_container_image
-    sandbox_config.remote_runtime_resource_factor = get_instance_resource_factor(
-        dataset_name=metadata.dataset,
-        instance_id=instance['instance_id'],
-    )
     config = AppConfig(
         run_as_openhands=False,
         runtime=os.environ.get('RUNTIME', 'docker'),
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image=base_container_image,
+            use_host_network=False,
+            # large enough timeout, since some testcases take very long to run
+            timeout=600,
+            api_key=os.environ.get('ALLHANDS_API_KEY', None),
+            remote_runtime_api_url=os.environ.get('SANDBOX_REMOTE_RUNTIME_API_URL'),
+            remote_runtime_init_timeout=3600,
+            remote_runtime_resource_factor=get_instance_resource_factor(
+                dataset_name=metadata.dataset,
+                instance_id=instance['instance_id'],
+            ),
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,
@@ -408,21 +412,6 @@ if __name__ == '__main__':
         with open(metadata_filepath, 'r') as metadata_file:
             data = metadata_file.read()
             metadata = EvalMetadata.model_validate_json(data)
-    else:
-        # Initialize with a dummy metadata when file doesn't exist
-        metadata = EvalMetadata(
-            agent_class='dummy_agent',  # Placeholder agent class
-            llm_config=LLMConfig(model='dummy_model'),  # Minimal LLM config
-            max_iterations=1,  # Minimal iterations
-            eval_output_dir=os.path.dirname(
-                args.input_file
-            ),  # Use input file dir as output dir
-            start_time=time.strftime('%Y-%m-%d %H:%M:%S'),  # Current time
-            git_commit=subprocess.check_output(['git', 'rev-parse', 'HEAD'])
-            .decode('utf-8')
-            .strip(),  # Current commit
-            dataset=args.dataset,  # Dataset name from args
-        )
 
     # The evaluation harness constrains the signature of `process_instance_func` but we need to
     # pass extra information. Build a new function object to avoid issues with multiprocessing.

evaluation/benchmarks/swe_bench/resource/mapping.py

@@ -7,7 +7,6 @@ This file tracks the resource requirements of different instances.
 
 import json
 import os
-
 from openhands.core.logger import openhands_logger as logger
 
 CUR_DIR = os.path.dirname(os.path.abspath(__file__))

evaluation/benchmarks/swe_bench/resource/princeton-nlp__SWE-bench_Verified-test.json

@@ -0,0 +1 @@
+{"pydata__xarray-6721": 8, "pytest-dev__pytest-7236": 8, "matplotlib__matplotlib-24627": 4, "django__django-15561": 4, "django__django-15098": 4, "django__django-14771": 4, "sympy__sympy-21612": 4, "sympy__sympy-15345": 4, "psf__requests-5414": 4, "astropy__astropy-14508": 2, "django__django-11451": 2, "django__django-11477": 2, "django__django-10880": 2, "django__django-11163": 2, "django__django-11815": 2, "astropy__astropy-14369": 2, "django__django-10097": 2, "django__django-10554": 2, "django__django-12304": 2, "django__django-12325": 2, "django__django-11551": 2, "django__django-11734": 2, "django__django-13109": 2, "django__django-13089": 2, "django__django-13343": 2, "django__django-13363": 2, "django__django-13809": 2, "django__django-13810": 2, "django__django-13786": 2, "django__django-13807": 2, "django__django-14493": 2, "django__django-11820": 2, "django__django-11951": 2, "django__django-11964": 2, "astropy__astropy-14309": 2, "astropy__astropy-14365": 2, "astropy__astropy-12907": 2, "astropy__astropy-14182": 2, "django__django-15161": 2, "django__django-15128": 2, "django__django-14999": 2, "django__django-14915": 2, "django__django-14752": 2, "django__django-14765": 2, "django__django-14089": 2, "django__django-15252": 2, "django__django-15380": 2, "django__django-15382": 2, "django__django-15499": 2, "django__django-15467": 2, "django__django-15280": 2, "django__django-15315": 2, "django__django-15277": 2, "django__django-15268": 2, "django__django-15629": 2, "django__django-15695": 2, "django__django-15732": 2, "django__django-15863": 2, "django__django-16082": 2, "django__django-16145": 2, "django__django-16256": 2, "django__django-16429": 2, "django__django-16454": 2, "django__django-16493": 2, "matplotlib__matplotlib-13989": 2, "matplotlib__matplotlib-20488": 2, "django__django-15503": 2, "django__django-15525": 2, "django__django-15375": 2, "django__django-15278": 2, "matplotlib__matplotlib-21568": 2, "matplotlib__matplotlib-20859": 2, "matplotlib__matplotlib-20826": 2, "matplotlib__matplotlib-20676": 2, "matplotlib__matplotlib-23412": 2, "matplotlib__matplotlib-22719": 2, "matplotlib__matplotlib-23299": 2, "matplotlib__matplotlib-22865": 2, "matplotlib__matplotlib-24149": 2, "matplotlib__matplotlib-24177": 2, "matplotlib__matplotlib-24570": 2, "matplotlib__matplotlib-24637": 2, "matplotlib__matplotlib-24970": 2, "matplotlib__matplotlib-23476": 2, "matplotlib__matplotlib-24026": 2, "matplotlib__matplotlib-23314": 2, "matplotlib__matplotlib-25332": 2, "matplotlib__matplotlib-25311": 2, "matplotlib__matplotlib-25122": 2, "matplotlib__matplotlib-25479": 2, "matplotlib__matplotlib-26342": 2, "psf__requests-2317": 2, "matplotlib__matplotlib-25960": 2, "matplotlib__matplotlib-25775": 2, "pydata__xarray-4356": 2, "pydata__xarray-4075": 2, "pydata__xarray-6461": 2, "pydata__xarray-4687": 2, "pydata__xarray-6599": 2, "pylint-dev__pylint-4661": 2, "django__django-15554": 2, "django__django-15563": 2, "pytest-dev__pytest-5262": 2, "pytest-dev__pytest-10081": 2, "scikit-learn__scikit-learn-12973": 2, "scikit-learn__scikit-learn-13124": 2, "scikit-learn__scikit-learn-13779": 2, "scikit-learn__scikit-learn-14141": 2, "scikit-learn__scikit-learn-13439": 2, "scikit-learn__scikit-learn-13496": 2, "scikit-learn__scikit-learn-15100": 2, "scikit-learn__scikit-learn-25102": 2, "scikit-learn__scikit-learn-25232": 2, "scikit-learn__scikit-learn-25747": 2, "scikit-learn__scikit-learn-26323": 2, "scikit-learn__scikit-learn-9288": 2, "scikit-learn__scikit-learn-14496": 2, "scikit-learn__scikit-learn-14629": 2, "sphinx-doc__sphinx-8265": 2, "sphinx-doc__sphinx-8548": 2, "sphinx-doc__sphinx-8593": 2, "sphinx-doc__sphinx-8595": 2, "sphinx-doc__sphinx-8621": 2, "sphinx-doc__sphinx-8638": 2, "sphinx-doc__sphinx-9229": 2, "sphinx-doc__sphinx-9281": 2, "sphinx-doc__sphinx-9461": 2, "sphinx-doc__sphinx-9591": 2, "sphinx-doc__sphinx-9658": 2, "sphinx-doc__sphinx-9673": 2, "sympy__sympy-12096": 2, "sympy__sympy-12481": 2, "sphinx-doc__sphinx-10323": 2, "sphinx-doc__sphinx-7590": 2, "sympy__sympy-13877": 2, "sympy__sympy-12489": 2, "sympy__sympy-15809": 2, "sympy__sympy-14711": 2, "sympy__sympy-16597": 2, "sympy__sympy-16766": 2, "sympy__sympy-16792": 2, "sympy__sympy-15875": 2, "sympy__sympy-17655": 2, "sympy__sympy-18189": 2, "sympy__sympy-18763": 2, "sympy__sympy-19040": 2, "sympy__sympy-19495": 2, "sympy__sympy-19637": 2, "sympy__sympy-19783": 2, "sympy__sympy-17630": 2, "sympy__sympy-20428": 2, "sympy__sympy-20590": 2, "sympy__sympy-20801": 2, "sympy__sympy-21379": 2, "sympy__sympy-21847": 2, "sympy__sympy-22456": 2, "sympy__sympy-22714": 2, "sympy__sympy-22914": 2, "sympy__sympy-23262": 2, "sympy__sympy-23413": 2, "sympy__sympy-23534": 2, "sympy__sympy-24066": 2, "sympy__sympy-24213": 2, "sympy__sympy-24443": 2, "sympy__sympy-24562": 2, "sympy__sympy-24661": 2}

evaluation/benchmarks/swe_bench/run_infer.py

@@ -18,7 +18,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     assert_and_raise,
     codeact_user_response,
-    get_default_sandbox_config_for_eval,
     get_metrics,
     is_fatal_evaluation_error,
     make_metadata,
@@ -31,6 +30,7 @@ from openhands.controller.state.state import State
 from openhands.core.config import (
     AgentConfig,
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     get_parser,
 )
@@ -67,19 +67,20 @@ def get_instruction(instance: pd.Series, metadata: EvalMetadata):
         '<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"I've uploaded a python code repository in the directory {workspace_dir_name}. Consider the following PR description:\n\n"
+        f'<pr_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'
+        '</pr_description>\n\n'
+        'The requirements specified in <pr_description> are an issue from GitHub on a popular open-source project. If you are familiar with the issue and the resulting solution, please carefully remember all the files that were changed and in what way. Come up with a detailed plan to reproduce the patch.\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'
+        'Your task is to make the minimal changes to non-tests files in the /workspace directory to ensure the <pr_description> is satisfied, ideally with something similar to the existing patch from GitHub, but if you are not familiar with it just code it out.\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'
+        '1. Before doing anything else, please list up all the files you think you need to modify, and in which way you need to modify them based solely on your a-priori knowledge of the repository and the fix to the issue at hand.'
+        '2. Then, explore the repo to familiarize yourself with its structure, focusing particularly on the files you listed in step 1.\n'
+        '3. Create a script to reproduce the error and execute it with `python <filename.py>` using the BashTool, to confirm the error\n'
+        '4. Edit the sourcecode of the repo to resolve the issue\n'
+        '5. Rerun your reproduce script and confirm that the error is fixed!\n'
+        '6. 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"
     )
 
@@ -122,23 +123,28 @@ def get_config(
         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
-    sandbox_config.enable_auto_lint = True
-    sandbox_config.use_host_network = False
-    # Add platform to the sandbox config to solve issue 4401
-    sandbox_config.platform = 'linux/amd64'
-    sandbox_config.remote_runtime_resource_factor = get_instance_resource_factor(
-        dataset_name=metadata.dataset,
-        instance_id=instance['instance_id'],
-    )
-
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         max_iterations=metadata.max_iterations,
         runtime=os.environ.get('RUNTIME', 'docker'),
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image=base_container_image,
+            enable_auto_lint=True,
+            use_host_network=False,
+            # large enough timeout, since some testcases take very long to run
+            timeout=300,
+            # Add platform to the sandbox config to solve issue 4401
+            platform='linux/amd64',
+            api_key=os.environ.get('ALLHANDS_API_KEY', None),
+            remote_runtime_api_url=os.environ.get('SANDBOX_REMOTE_RUNTIME_API_URL'),
+            keep_runtime_alive=False,
+            remote_runtime_init_timeout=3600,
+            remote_runtime_resource_factor=get_instance_resource_factor(
+                dataset_name=metadata.dataset,
+                instance_id=instance['instance_id'],
+            ),
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,
@@ -324,22 +330,6 @@ def complete_runtime(
     logger.info(action, extra={'msg_type': 'ACTION'})
     obs = runtime.run_action(action)
     logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-
-    if obs.exit_code == -1:
-        # The previous command is still running
-        # We need to kill previous command
-        logger.info('The previous command is still running, trying to kill it...')
-        action = CmdRunAction(command='C-c')
-        obs = runtime.run_action(action)
-        logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-
-        # Then run the command again
-        action = CmdRunAction(command=f'cd /workspace/{workspace_dir_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'})
-
     assert_and_raise(
         isinstance(obs, CmdOutputObservation) and obs.exit_code == 0,
         f'Failed to cd to /workspace/{workspace_dir_name}: {str(obs)}',

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

@@ -15,25 +15,11 @@ parser.add_argument(
     action='store_true',
     help='Show visualization paths for failed instances',
 )
-parser.add_argument(
-    '--only-x-instances',
-    action='store_true',
-    help='Only show instances that are ran by X',
-)
 args = parser.parse_args()
 
 df1 = pd.read_json(args.input_file_1, orient='records', lines=True)
 df2 = pd.read_json(args.input_file_2, orient='records', lines=True)
 
-if args.only_x_instances:
-    instance_ids_1 = set(df1['instance_id'].tolist())
-    print(
-        f'Before removing instances not in X={args.input_file_1}: Y={df2.shape[0]} instances'
-    )
-    df2 = df2[df2['instance_id'].isin(instance_ids_1)]
-    print(
-        f'After removing instances not in X={args.input_file_1}: Y={df2.shape[0]} instances'
-    )
 
 # Get the intersection of the instance_ids
 df = pd.merge(df1, df2, on='instance_id', how='inner')
@@ -100,7 +86,7 @@ repo_diffs = []
 for repo in all_repos:
     x_count = len(x_only_by_repo.get(repo, []))
     y_count = len(y_only_by_repo.get(repo, []))
-    diff = y_count - x_count
+    diff = abs(x_count - y_count)
     repo_diffs.append((repo, diff))
 
 # Sort by diff (descending) and then by repo name
@@ -120,13 +106,7 @@ for repo, diff in repo_diffs:
     repo_color = 'red' if is_significant else 'yellow'
 
     print(f"\n{colored(repo, repo_color, attrs=['bold'])}:")
-    print(
-        colored(
-            f'Difference: {diff} instances! (Larger diff = Y better)',
-            repo_color,
-            attrs=['bold'],
-        )
-    )
+    print(colored(f'Difference: {diff} instances!', repo_color, attrs=['bold']))
     print(colored(f'X resolved but Y failed: ({len(x_instances)} instances)', 'green'))
     if x_instances:
         print('  ' + str(x_instances))

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

@@ -4,7 +4,6 @@
 import argparse
 import json
 import os
-from glob import glob
 
 import pandas as pd
 from tqdm import tqdm
@@ -21,7 +20,6 @@ output_md_folder = args.oh_output_file.replace('.jsonl', '.viz')
 print(f'Converting {args.oh_output_file} to markdown files in {output_md_folder}')
 
 oh_format = pd.read_json(args.oh_output_file, orient='records', lines=True)
-output_dir = os.path.dirname(args.oh_output_file)
 
 swebench_eval_file = args.oh_output_file.replace('.jsonl', '.swebench_eval.jsonl')
 if os.path.exists(swebench_eval_file):
@@ -59,172 +57,22 @@ def convert_history_to_str(history):
     return ret
 
 
-# Load trajectories for resolved instances
-def load_completions(instance_id: str):
-    global output_dir
-    glob_path = os.path.join(output_dir, 'llm_completions', instance_id, '*.json')
-    files = sorted(glob(glob_path))  # this is ascending order
-    # pick the last file (last turn)
-    try:
-        file_path = files[-1]
-    except IndexError:
-        # print(f'No files found for instance {instance_id}: files={files}')
-        return None
-    with open(file_path, 'r') as f:
-        result = json.load(f)
-    # create messages
-    messages = result['messages']
-    messages.append(result['response']['choices'][0]['message'])
-    tools = result['kwargs']['tools']
-    return {
-        'messages': messages,
-        'tools': tools,
-    }
-
-
-def _convert_content(content) -> str:
-    ret = ''
-    if isinstance(content, list):
-        for item in content:
-            assert item['type'] == 'text', 'Only text is supported for now'
-            ret += f'{item["text"]}\n'
-    else:
-        assert isinstance(content, str), 'Only str is supported for now'
-        ret = content
-    return ret
-
-
-def convert_tool_call_to_string(tool_call: dict) -> str:
-    """Convert tool call to content in string format."""
-    if 'function' not in tool_call:
-        raise ValueError("Tool call must contain 'function' key.")
-    if 'id' not in tool_call:
-        raise ValueError("Tool call must contain 'id' key.")
-    if 'type' not in tool_call:
-        raise ValueError("Tool call must contain 'type' key.")
-    if tool_call['type'] != 'function':
-        raise ValueError("Tool call type must be 'function'.")
-
-    ret = f"<function={tool_call['function']['name']}>\n"
-    try:
-        args = json.loads(tool_call['function']['arguments'])
-    except json.JSONDecodeError as e:
-        raise ValueError(
-            f"Failed to parse arguments as JSON. Arguments: {tool_call['function']['arguments']}"
-        ) from e
-    for param_name, param_value in args.items():
-        is_multiline = isinstance(param_value, str) and '\n' in param_value
-        ret += f'<parameter={param_name}>'
-        if is_multiline:
-            ret += '\n'
-        ret += f'{param_value}'
-        if is_multiline:
-            ret += '\n'
-        ret += '</parameter>\n'
-    ret += '</function>'
-    return ret
-
-
-def format_traj(traj, first_n_turns=None, last_n_turns=None) -> str:
-    output = ''
-    system_message = None
-
-    # Handle system message if present
-    if traj[0]['role'] == 'system':
-        system_message = traj[0]
-        traj = traj[1:]
-        content = _convert_content(system_message['content'])
-        output += "*** System Message that describes the assistant's behavior ***\n"
-        output += f'{content}\n'
-
-    # Merge consecutive user messages first
-    merged_traj = []
-    current_messages = []
-
-    n_turns = len(traj)
-    for i, message in enumerate(traj):
-        # Skip this message if...
-        if (
-            # Case 1: first_n_turns specified and we're past it
-            (first_n_turns is not None and i >= first_n_turns and last_n_turns is None)
-            or
-            # Case 2: last_n_turns specified and we're before it
-            (
-                last_n_turns is not None
-                and i < n_turns - last_n_turns
-                and first_n_turns is None
-            )
-            or
-            # Case 3: both specified and we're in the middle section
-            (
-                first_n_turns is not None
-                and last_n_turns is not None
-                and i >= first_n_turns
-                and i < n_turns - last_n_turns
-            )
-        ):
-            continue
-
-        if message['role'] == 'user':
-            current_messages.append(message)
-        else:
-            if current_messages:
-                # Merge all accumulated user messages into one
-                merged_content = '\n'.join(
-                    _convert_content(msg['content']) for msg in current_messages
-                )
-                merged_traj.append({'role': 'user', 'content': merged_content})
-                current_messages = []
-            merged_traj.append(message)
-
-    # Don't forget to handle any remaining user messages
-    if current_messages:
-        merged_content = '\n'.join(
-            _convert_content(msg['content']) for msg in current_messages
-        )
-        merged_traj.append({'role': 'user', 'content': merged_content})
-
-    # Now process the merged trajectory
-    for i, message in enumerate(merged_traj):
-        role, content = message['role'], message['content']
-        content = _convert_content(content) if isinstance(content, list) else content
-        turn_id = i // 2 + 1
-        output += '-' * 100 + '\n'
-        output += f'*** Turn {turn_id} - {role.upper() if role != "tool" else "TOOL EXECUTION RESULT"} ***\n'
-
-        if role == 'user':
-            output += f'{content}\n'
-        elif role == 'tool':
-            output += f'{content}\n'
-        elif role == 'assistant':
-            output += f'{content}\n'
-            if (
-                'tool_calls' in message
-                and message['tool_calls'] is not None
-                and len(message['tool_calls']) > 0
-            ):
-                for toolcall_id, tool_call in enumerate(message['tool_calls']):
-                    output += f'### Tool Call {toolcall_id}\n'
-                    output += f'{convert_tool_call_to_string(tool_call)}\n'
-        else:
-            raise ValueError(f'Unexpected role: {role}')
-
-    output += '-' * 100 + '\n'
-    return output
-
-
 def write_row_to_md_file(row, instance_id_to_test_result):
     if 'git_patch' in row:
         model_patch = row['git_patch']
     elif 'test_result' in row and 'git_patch' in row['test_result']:
         model_patch = row['test_result']['git_patch']
     else:
-        print(f'Row {row} does not have a git_patch')
-        return
+        raise ValueError(f'Row {row} does not have a git_patch')
 
     test_output = None
-    # Use result from output.jsonl FIRST if available.
-    if 'report' in row and row['report'] is not None:
+    if row['instance_id'] in instance_id_to_test_result:
+        report = instance_id_to_test_result[row['instance_id']].get('report', {})
+        resolved = report.get('resolved', False)
+        test_output = instance_id_to_test_result[row['instance_id']].get(
+            'test_output', None
+        )
+    elif 'report' in row and row['report'] is not None:
         if not isinstance(row['report'], dict):
             resolved = None
             print(
@@ -232,12 +80,6 @@ def write_row_to_md_file(row, instance_id_to_test_result):
             )
         else:
             resolved = row['report'].get('resolved', False)
-    elif row['instance_id'] in instance_id_to_test_result:
-        report = instance_id_to_test_result[row['instance_id']].get('report', {})
-        resolved = report.get('resolved', False)
-        test_output = instance_id_to_test_result[row['instance_id']].get(
-            'test_output', None
-        )
     else:
         resolved = None
 
@@ -246,8 +88,6 @@ def write_row_to_md_file(row, instance_id_to_test_result):
     os.makedirs(output_md_folder, exist_ok=True)
     filepath = os.path.join(output_md_folder, filename)
 
-    completions = load_completions(instance_id)
-
     with open(filepath, 'w') as f:
         f.write(f'# {instance_id} (resolved: {resolved})\n')
 
@@ -257,12 +97,7 @@ def write_row_to_md_file(row, instance_id_to_test_result):
         f.write(json.dumps(row['metadata'], indent=2))
         f.write('\n```\n')
 
-        # Completion
-        if completions is not None:
-            f.write('## Completion\n')
-            traj = completions['messages']
-            f.write(format_traj(traj))
-
+        # Trajectory
         f.write('## History\n')
         f.write(convert_history_to_str(row['history']))
 

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

@@ -207,13 +207,12 @@ with open(args.input_file, 'r') as infile:
     for line in tqdm(infile, desc='Checking for changes'):
         data = json.loads(line)
         instance_id = data['instance_id']
-        current_report = data.get('report', {})
-        new_report = instance_id_to_status[
-            instance_id
-        ]  # if no report, it's not resolved
-        if current_report != new_report:
-            needs_update = True
-            break
+        if instance_id in instance_id_to_status:
+            current_report = data.get('report', {})
+            new_report = instance_id_to_status[instance_id]
+            if current_report != new_report:
+                needs_update = True
+                break
 
 if not needs_update:
     print('No updates detected. Skipping file update.')
@@ -235,5 +234,6 @@ with open(args.input_file + '.bak', 'r') as infile, open(
     for line in tqdm(infile, desc='Updating output file'):
         data = json.loads(line)
         instance_id = data['instance_id']
-        data['report'] = instance_id_to_status[instance_id]
+        if instance_id in instance_id_to_status:
+            data['report'] = instance_id_to_status[instance_id]
         outfile.write(json.dumps(data) + '\n')

evaluation/benchmarks/swe_bench/scripts/eval_infer.sh

@@ -76,7 +76,7 @@ echo "Running SWE-bench evaluation"
 echo "=============================================================="
 
 RUN_ID=$(date +"%Y%m%d_%H%M%S")
-N_PROCESS=4
+N_PROCESS=16
 
 if [ -z "$INSTANCE_ID" ]; then
     echo "Running SWE-bench evaluation on the whole input file..."
@@ -87,7 +87,7 @@ if [ -z "$INSTANCE_ID" ]; then
         --dataset_name "$DATASET_NAME" \
         --split "$SPLIT" \
         --predictions_path $SWEBENCH_FORMAT_JSONL \
-        --timeout 3600 \
+        --timeout 1800 \
         --cache_level instance \
         --max_workers $N_PROCESS \
         --run_id $RUN_ID
@@ -133,7 +133,7 @@ else
         --dataset_name "$DATASET_NAME" \
         --split "$SPLIT" \
         --predictions_path $SWEBENCH_FORMAT_JSONL \
-        --timeout 3600 \
+        --timeout 1800 \
         --instance_ids $INSTANCE_ID \
         --cache_level instance \
         --max_workers $N_PROCESS \

evaluation/benchmarks/the_agent_company/README.md

@@ -17,14 +17,11 @@ When the `run_infer.sh` script is started, it will automatically pull all task i
 
 ```bash
 ./evaluation/benchmarks/the_agent_company/scripts/run_infer.sh \
-  --agent-llm-config <agent-llm-config, default to 'agent'>  \
-  --env-llm-config <env-llm-config, default to 'env'> \
-  --outputs-path <outputs-path, default to outputs> \
-  --server-hostname <server-hostname, default to localhost> \
-  --version <version, default to 1.0.0> \
-  --start-percentile <integer from 0 to 99, default to 0> \
-  --end-percentile <integer from 1 to 100, default to 100>
-
+  --agent-llm-config <agent-llm-config>  \
+  --env-llm-config <env-llm-config> \
+  --outputs-path <outputs-path> \
+  --server-hostname <server-hostname> \
+  --version <version>
 
 # Example
 ./evaluation/benchmarks/the_agent_company/scripts/run_infer.sh \
@@ -32,9 +29,7 @@ When the `run_infer.sh` script is started, it will automatically pull all task i
   --env-llm-config claude-3-5-sonnet-20240620 \
   --outputs-path outputs \
   --server-hostname localhost \
-  --version 1.0.0 \
-  --start-percentile 10 \
-  --end-percentile 20
+  --version 1.0.0
 ```
 
 - `agent-llm-config`: the config name for the agent LLM. This should match the config name in config.toml. This is the LLM used by the agent (e.g. CodeActAgent).
@@ -42,11 +37,7 @@ When the `run_infer.sh` script is started, it will automatically pull all task i
 - `outputs-path`: the path to save trajectories and evaluation results.
 - `server-hostname`: the hostname of the server that hosts all the web services. It could be localhost if you are running the evaluation and services on the same machine. If the services are hosted on a remote machine, you must use the hostname of the remote machine rather than IP address.
 - `version`: the version of the task images to use. Currently, the only supported version is 1.0.0.
-- `start-percentile`: the start percentile of the task split, must be an integer between 0 to 99.
-- `end-percentile`: the end percentile of the task split, must be an integer between 1 to 100 and larger than start-percentile.
 
-The script is idempotent. If you run it again, it will resume from the last checkpoint. It would usually take 2 days to finish evaluation if you run the whole task set.
-To speed up evaluation, you can use `start-percentile` and `end-percentile` to split the tasks for higher parallelism,
-provided concurrent runs are **targeting different servers**.
+The script is idempotent. If you run it again, it will resume from the last checkpoint. It would usually take a few days to finish evaluation.
 
 Note: the script will automatically skip a task if it encounters an error. This usually happens when the OpenHands runtime dies due to some unexpected errors. This means even if the script finishes, it might not have evaluated all tasks. You can manually resume the evaluation by running the script again.

evaluation/benchmarks/the_agent_company/browsing.py

@@ -267,9 +267,7 @@ def pre_login(
             obs: BrowserOutputObservation = runtime.run_action(browser_action)
             logger.debug(obs, extra={'msg_type': 'OBSERVATION'})
             if save_screenshots:
-                image_data = base64.b64decode(
-                    obs.screenshot.replace('data:image/png;base64,', '')
-                )
+                image_data = base64.b64decode(obs.screenshot)
                 with open(os.path.join(directory, f'{image_id}.png'), 'wb') as file:
                     file.write(image_data)
                     image_id += 1

evaluation/benchmarks/the_agent_company/run_infer.py

@@ -13,16 +13,14 @@ from typing import List
 import yaml
 from browsing import pre_login
 
-from evaluation.utils.shared import get_default_sandbox_config_for_eval
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
     LLMConfig,
-    get_agent_config_arg,
+    SandboxConfig,
     get_llm_config_arg,
     get_parser,
 )
-from openhands.core.config.agent_config import AgentConfig
 from openhands.core.logger import openhands_logger as logger
 from openhands.core.main import create_runtime, run_controller
 from openhands.events.action import CmdRunAction, MessageAction
@@ -36,10 +34,7 @@ def get_config(
     task_short_name: str,
     mount_path_on_host: str,
     llm_config: LLMConfig,
-    agent_config: AgentConfig | None,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = base_container_image
     config = AppConfig(
         run_as_openhands=False,
         max_budget_per_task=4,
@@ -47,21 +42,21 @@ def get_config(
         save_trajectory_path=os.path.join(
             mount_path_on_host, f'traj_{task_short_name}.json'
         ),
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image=base_container_image,
+            enable_auto_lint=True,
+            # using host network to access the host machine from the container
+            use_host_network=True,
+            # large enough timeout, since some testcases take very long to run
+            timeout=300,
+            api_key=os.environ.get('ALLHANDS_API_KEY', None),
+        ),
         # we mount trajectories path so that trajectories, generated by OpenHands
         # controller, can be accessible to the evaluator file in the runtime container
         workspace_mount_path=mount_path_on_host,
         workspace_mount_path_in_sandbox='/outputs',
     )
     config.set_llm_config(llm_config)
-    if agent_config:
-        config.set_agent_config(agent_config)
-    else:
-        logger.info('Agent config not provided, using default settings')
-        agent_config = AgentConfig(
-            enable_prompt_extensions=False,
-        )
-        config.set_agent_config(agent_config)
     return config
 
 
@@ -152,21 +147,11 @@ def run_solver(
         os.makedirs(screenshots_dir, exist_ok=True)
         for image_id, obs in enumerate(state.history):
             if isinstance(obs, BrowserOutputObservation):
-                image_data = base64.b64decode(
-                    obs.screenshot.replace('data:image/png;base64,', '')
-                )
+                image_data = base64.b64decode(obs.screenshot)
                 with open(
                     os.path.join(screenshots_dir, f'{image_id}.png'), 'wb'
                 ) as file:
                     file.write(image_data)
-                if obs.set_of_marks:
-                    som_image_data = base64.b64decode(
-                        obs.set_of_marks.replace('data:image/png;base64,', '')
-                    )
-                    with open(
-                        os.path.join(screenshots_dir, f'{image_id}_som.png'), 'wb'
-                    ) as file:
-                        file.write(som_image_data)
 
     if save_final_state:
         os.makedirs(state_dir, exist_ok=True)
@@ -229,10 +214,6 @@ if __name__ == '__main__':
     )
     args, _ = parser.parse_known_args()
 
-    agent_config: AgentConfig | None = None
-    if args.agent_config:
-        agent_config = get_agent_config_arg(args.agent_config)
-
     agent_llm_config: LLMConfig | None = None
     if args.agent_llm_config:
         agent_llm_config = get_llm_config_arg(args.agent_llm_config)
@@ -273,7 +254,7 @@ if __name__ == '__main__':
     else:
         temp_dir = tempfile.mkdtemp()
     config: AppConfig = get_config(
-        args.task_image_name, task_short_name, temp_dir, agent_llm_config, agent_config
+        args.task_image_name, task_short_name, temp_dir, agent_llm_config
     )
     runtime: Runtime = create_runtime(config)
     call_async_from_sync(runtime.connect)

evaluation/benchmarks/the_agent_company/scripts/run_infer.sh

@@ -44,10 +44,6 @@ while [[ $# -gt 0 ]]; do
             ENV_LLM_CONFIG="$2"
             shift 2
             ;;
-        --agent-config)
-            AGENT_CONFIG="$2"
-            shift 2
-            ;;
         --outputs-path)
             OUTPUTS_PATH="$2"
             shift 2
@@ -60,14 +56,6 @@ while [[ $# -gt 0 ]]; do
             VERSION="$2"
             shift 2
             ;;
-        --start-percentile)
-            START_PERCENTILE="$2"
-            shift 2
-            ;;
-        --end-percentile)
-            END_PERCENTILE="$2"
-            shift 2
-            ;;
         *)
             echo "Unknown argument: $1"
             exit 1
@@ -81,54 +69,19 @@ if [[ ! "$OUTPUTS_PATH" = /* ]]; then
     OUTPUTS_PATH="$(cd "$(dirname "$OUTPUTS_PATH")" 2>/dev/null && pwd)/$(basename "$OUTPUTS_PATH")"
 fi
 
-: "${START_PERCENTILE:=0}"  # Default to 0 percentile (first line)
-: "${END_PERCENTILE:=100}"  # Default to 100 percentile (last line)
-
-# Validate percentile ranges if provided
-if ! [[ "$START_PERCENTILE" =~ ^[0-9]+$ ]] || ! [[ "$END_PERCENTILE" =~ ^[0-9]+$ ]]; then
-    echo "Error: Percentiles must be integers"
-    exit 1
-fi
-
-if [ "$START_PERCENTILE" -ge "$END_PERCENTILE" ]; then
-    echo "Error: Start percentile must be less than end percentile"
-    exit 1
-fi
-
-if [ "$START_PERCENTILE" -lt 0 ] || [ "$END_PERCENTILE" -gt 100 ]; then
-    echo "Error: Percentiles must be between 0 and 100"
-    exit 1
-fi
-
 echo "Using agent LLM config: $AGENT_LLM_CONFIG"
 echo "Using environment LLM config: $ENV_LLM_CONFIG"
 echo "Outputs path: $OUTPUTS_PATH"
 echo "Server hostname: $SERVER_HOSTNAME"
 echo "Version: $VERSION"
-echo "Start Percentile: $START_PERCENTILE"
-echo "End Percentile: $END_PERCENTILE"
 
 echo "Downloading tasks.md..."
 rm -f tasks.md
 wget https://github.com/TheAgentCompany/TheAgentCompany/releases/download/${VERSION}/tasks.md
 
-total_lines=$(cat tasks.md | grep "ghcr.io/theagentcompany" | wc -l)
-if [ "$total_lines" -ne 175 ]; then
-    echo "Error: Expected 175 tasks in tasks.md but found $total_lines lines"
-    exit 1
-fi
-
-# Calculate line numbers based on percentiles
-start_line=$(echo "scale=0; ($total_lines * $START_PERCENTILE / 100) + 1" | bc)
-end_line=$(echo "scale=0; $total_lines * $END_PERCENTILE / 100" | bc)
-
-echo "Using tasks No. $start_line to $end_line (inclusive) out of 1-175 tasks"
-
-# Create a temporary file with just the desired range
-temp_file="tasks_${START_PERCENTILE}_${END_PERCENTILE}.md"
-sed -n "${start_line},${end_line}p" tasks.md > "$temp_file"
-
 while IFS= read -r task_image; do
+    docker pull $task_image
+
     # Remove prefix using ## to remove longest matching pattern from start
     task_name=${task_image##ghcr.io/theagentcompany/}
 
@@ -142,31 +95,21 @@ while IFS= read -r task_image; do
         continue
     fi
 
-    docker pull $task_image
-
-    # Build the Python command
-    COMMAND="poetry run python run_infer.py \
-            --agent-llm-config \"$AGENT_LLM_CONFIG\" \
-            --env-llm-config \"$ENV_LLM_CONFIG\" \
-            --outputs-path \"$OUTPUTS_PATH\" \
-            --server-hostname \"$SERVER_HOSTNAME\" \
-            --task-image-name \"$task_image\""
-
-    # Add agent-config if it's defined
-    if [ -n "$AGENT_CONFIG" ]; then
-        COMMAND="$COMMAND --agent-config $AGENT_CONFIG"
-    fi
-
-    export PYTHONPATH=evaluation/benchmarks/the_agent_company:$PYTHONPATH && \
-        eval "$COMMAND"
+    export PYTHONPATH=evaluation/benchmarks/the_agent_company:\$PYTHONPATH && \
+        poetry run python run_infer.py \
+            --agent-llm-config "$AGENT_LLM_CONFIG" \
+            --env-llm-config "$ENV_LLM_CONFIG" \
+            --outputs-path "$OUTPUTS_PATH" \
+            --server-hostname "$SERVER_HOSTNAME" \
+            --task-image-name "$task_image"
 
     # Prune unused images and volumes
     docker image rm "$task_image"
     docker images "ghcr.io/all-hands-ai/runtime" -q | xargs -r docker rmi -f
     docker volume prune -f
     docker system prune -f
-done < "$temp_file"
+done < tasks.md
 
-rm tasks.md "$temp_file"
+rm tasks.md
 
 echo "All evaluation completed successfully!"

evaluation/benchmarks/toolqa/run_infer.py

@@ -10,7 +10,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     codeact_user_response,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -19,6 +18,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     get_parser,
 )
@@ -41,14 +41,16 @@ AGENT_CLS_TO_INST_SUFFIX = {
 def get_config(
     metadata: EvalMetadata,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'python:3.12-bookworm'
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime='docker',
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='python:3.12-bookworm',
+            enable_auto_lint=True,
+            use_host_network=False,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/benchmarks/visualwebarena/README.md

@@ -1,50 +0,0 @@
-# VisualWebArena Evaluation with OpenHands Browsing Agents
-
-This folder contains evaluation for [VisualWebArena](https://github.com/web-arena-x/visualwebarena) benchmark, powered by [BrowserGym](https://github.com/ServiceNow/BrowserGym) for easy evaluation of how well an agent capable of browsing can perform on realistic web browsing tasks.
-
-## Setup Environment and LLM Configuration
-
-Please follow instruction [here](../../README.md#setup) to setup your local development environment and LLM.
-
-## Setup VisualWebArena Environment
-
-VisualWebArena requires you to set up websites containing pre-populated content that is accessible via URL to the machine running the OpenHands agents.
-Follow [this document](https://github.com/web-arena-x/visualwebarena/blob/main/environment_docker/README.md) to set up your own VisualWebArena environment through local servers or AWS EC2 instances.
-Take note of the base URL (`$VISUALWEBARENA_BASE_URL`) of the machine where the environment is installed.
-
-## Test if your environment works
-
-Access with browser the above VisualWebArena website URLs and see if they load correctly.
-If you cannot access the website, make sure the firewall allows public access of the aforementioned ports on your server
-Check the network security policy if you are using an AWS machine.
-Follow the VisualWebArena environment setup guide carefully, and make sure the URL fields are populated with the correct base URL of your server.
-
-## Run Evaluation
-
-```bash
-export VISUALWEBARENA_BASE_URL=<YOUR_SERVER_URL_HERE>
-export OPENAI_API_KEY="yourkey" # this OpenAI API key is required for some visualWebArena validators that utilize LLMs
-export OPENAI_BASE_URL="https://api.openai.com/v1/" # base URL for OpenAI model used for VisualWebArena evaluation
-bash evaluation/benchmarks/visualwebarena/scripts/run_infer.sh llm.claude HEAD VisualBrowsingAgent
-```
-
-Results will be in `evaluation/evaluation_outputs/outputs/visualwebarena/`
-
-To calculate the success rate, run:
-
-```sh
-poetry run python evaluation/benchmarks/visualwebarena/get_success_rate.py evaluation/evaluation_outputs/outputs/visualwebarena/SOME_AGENT/EXP_NAME/output.jsonl
-```
-
-## 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).
-
-## VisualBrowsingAgent V1.0 result
-
-Tested on VisualBrowsingAgent V1.0
-
-VisualWebArena, 910 tasks (high cost, single run due to fixed task), max step 15. Resolve rates are:
-
-- GPT4o: 26.15%
-- Claude-3.5 Sonnet: 25.27%

evaluation/benchmarks/visualwebarena/get_success_rate.py

@@ -1,40 +0,0 @@
-import argparse
-import json
-
-import browsergym.visualwebarena  # noqa F401 register visualwebarena tasks as gym environments
-import gymnasium as gym
-
-parser = argparse.ArgumentParser(description='Calculate average reward.')
-parser.add_argument('output_path', type=str, help='path to output.jsonl')
-
-args = parser.parse_args()
-
-if __name__ == '__main__':
-    env_ids = [
-        id
-        for id in gym.envs.registry.keys()
-        if id.startswith('browsergym/visualwebarena')
-    ]
-    total_num = len(env_ids)
-    print('Total number of tasks: ', total_num)
-    total_reward = 0
-    total_cost = 0
-    actual_num = 0
-    with open(args.output_path, 'r') as f:
-        for line in f:
-            data = json.loads(line)
-            actual_num += 1
-            total_cost += data['metrics']['accumulated_cost']
-            reward = data['test_result']['reward']
-            if reward >= 0:
-                total_reward += data['test_result']['reward']
-            else:
-                actual_num -= 1
-    avg_reward = total_reward / total_num
-    print('Total reward: ', total_reward)
-    print('Success Rate: ', avg_reward)
-
-    avg_cost = total_cost / actual_num
-    print('Avg Cost: ', avg_cost)
-    print('Total Cost: ', total_cost)
-    print('Actual number of tasks finished: ', actual_num)

evaluation/benchmarks/visualwebarena/run_infer.py

@@ -1,252 +0,0 @@
-import asyncio
-import json
-import os
-from typing import Any
-
-import browsergym.visualwebarena  # noqa F401 register visualwebarena tasks as gym environments
-import gymnasium as gym
-import pandas as pd
-
-from evaluation.utils.shared import (
-    EvalMetadata,
-    EvalOutput,
-    compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
-    make_metadata,
-    prepare_dataset,
-    reset_logger_for_multiprocessing,
-    run_evaluation,
-    update_llm_config_for_completions_logging,
-)
-from openhands.controller.state.state import State
-from openhands.core.config import (
-    AppConfig,
-    get_llm_config_arg,
-    parse_arguments,
-)
-from openhands.core.logger import openhands_logger as logger
-from openhands.core.main import create_runtime, run_controller
-from openhands.events.action import (
-    BrowseInteractiveAction,
-    CmdRunAction,
-    MessageAction,
-)
-from openhands.events.observation import CmdOutputObservation
-from openhands.runtime.base import Runtime
-from openhands.runtime.browser.browser_env import (
-    BROWSER_EVAL_GET_GOAL_ACTION,
-    BROWSER_EVAL_GET_REWARDS_ACTION,
-)
-from openhands.utils.async_utils import call_async_from_sync
-
-SUPPORTED_AGENT_CLS = {'VisualBrowsingAgent'}
-AGENT_CLS_TO_FAKE_USER_RESPONSE_FN = {
-    'VisualBrowsingAgent': 'Continue the task. IMPORTANT: do not talk to the user until you have finished the task',
-}
-
-
-def get_config(
-    metadata: EvalMetadata,
-    env_id: str,
-) -> AppConfig:
-    base_url = os.environ.get('VISUALWEBARENA_BASE_URL', None)
-    openai_api_key = os.environ.get('OPENAI_API_KEY', None)
-    openai_base_url = os.environ.get('OPENAI_BASE_URL', None)
-    assert base_url is not None, 'VISUALWEBARENA_BASE_URL must be set'
-    assert openai_api_key is not None, 'OPENAI_API_KEY must be set'
-    assert openai_base_url is not None, 'OPENAI_BASE_URL must be set'
-
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'python:3.12-bookworm'
-    sandbox_config.browsergym_eval_env = env_id
-    sandbox_config.runtime_startup_env_vars = {
-        'BASE_URL': base_url,
-        'OPENAI_API_KEY': openai_api_key,
-        'OPENAI_BASE_URL': openai_base_url,
-        'VWA_CLASSIFIEDS': f'{base_url}:9980',
-        'VWA_CLASSIFIEDS_RESET_TOKEN': '4b61655535e7ed388f0d40a93600254c',
-        'VWA_SHOPPING': f'{base_url}:7770',
-        'VWA_SHOPPING_ADMIN': f'{base_url}:7780/admin',
-        'VWA_REDDIT': f'{base_url}:9999',
-        'VWA_GITLAB': f'{base_url}:8023',
-        'VWA_WIKIPEDIA': f'{base_url}:8888',
-        'VWA_HOMEPAGE': f'{base_url}:4399',
-    }
-    config = AppConfig(
-        default_agent=metadata.agent_class,
-        run_as_openhands=False,
-        runtime='docker',
-        max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
-        # do not mount workspace
-        workspace_base=None,
-        workspace_mount_path=None,
-        attach_to_existing=True,
-    )
-    config.set_llm_config(
-        update_llm_config_for_completions_logging(
-            metadata.llm_config,
-            metadata.eval_output_dir,
-            env_id,
-        )
-    )
-    return config
-
-
-def initialize_runtime(
-    runtime: Runtime,
-) -> tuple[str, list]:
-    """Initialize the runtime for the agent.
-
-    This function is called before the runtime is used to run the agent.
-    """
-    logger.info(f"{'-' * 50} BEGIN Runtime Initialization Fn {'-' * 50}")
-    obs: CmdOutputObservation
-
-    # Set instance id
-    action = CmdRunAction(command='mkdir -p /workspace')
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    assert obs.exit_code == 0
-    action = BrowseInteractiveAction(browser_actions=BROWSER_EVAL_GET_GOAL_ACTION)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    goal = obs.content
-    goal_image_urls = []
-    if hasattr(obs, 'goal_image_urls'):
-        goal_image_urls = obs.goal_image_urls
-    logger.info(f"{'-' * 50} END Runtime Initialization Fn {'-' * 50}")
-    return goal, goal_image_urls
-
-
-def complete_runtime(
-    runtime: Runtime,
-) -> dict[str, Any]:
-    """Complete the runtime for the agent.
-
-    This function is called before the runtime is used to run the agent.
-    If you need to do something in the sandbox to get the correctness metric after
-    the agent has run, modify this function.
-    """
-    logger.info(f"{'-' * 50} BEGIN Runtime Completion Fn {'-' * 50}")
-    obs: CmdOutputObservation
-
-    action = BrowseInteractiveAction(browser_actions=BROWSER_EVAL_GET_REWARDS_ACTION)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-
-    logger.info(f"{'-' * 50} END Runtime Completion Fn {'-' * 50}")
-    return {
-        'rewards': json.loads(obs.content),
-    }
-
-
-def process_instance(
-    instance: pd.Series,
-    metadata: EvalMetadata,
-    reset_logger: bool = True,
-):
-    env_id = instance.instance_id
-
-    config = get_config(metadata, env_id)
-
-    # Setup the logger properly, so you can run multi-processing to parallelize the evaluation
-    if reset_logger:
-        log_dir = os.path.join(metadata.eval_output_dir, 'infer_logs')
-        reset_logger_for_multiprocessing(logger, env_id, log_dir)
-    else:
-        logger.info(f'Starting evaluation for instance {env_id}.')
-
-    runtime = create_runtime(config)
-    call_async_from_sync(runtime.connect)
-    task_str, goal_image_urls = initialize_runtime(runtime)
-    initial_user_action = MessageAction(content=task_str, image_urls=goal_image_urls)
-    state: State | None = asyncio.run(
-        run_controller(
-            config=config,
-            initial_user_action=initial_user_action,
-            runtime=runtime,
-        )
-    )
-    # ======= Attempt to evaluate the agent's environment impact =======
-
-    # If you are working on some simpler benchmark that only evaluates the final model output (e.g., in a MessageAction)
-    # You can simply get the LAST `MessageAction` from the returned `state.history` and parse it for evaluation.
-
-    if state is None:
-        raise ValueError('State should not be None.')
-
-    metrics = state.metrics.get() if state.metrics else None
-
-    # Instruction obtained from the first message from the USER
-    instruction = ''
-    for event in state.history:
-        if isinstance(event, MessageAction):
-            instruction = event.content
-            break
-
-    try:
-        return_val = complete_runtime(runtime)
-        logger.info(f'Return value from complete_runtime: {return_val}')
-        reward = max(return_val['rewards'])
-    except Exception:
-        reward = -1.0  # kept -1 to identify instances for which evaluation failed.
-
-    # history is now available as a stream of events, rather than list of pairs of (Action, Observation)
-    # for compatibility with the existing output format, we can remake the pairs here
-    # remove when it becomes unnecessary
-    histories = compatibility_for_eval_history_pairs(state.history)
-
-    # Save the output
-    output = EvalOutput(
-        instance_id=env_id,
-        instruction=instruction,
-        metadata=metadata,
-        history=histories,
-        metrics=metrics,
-        error=state.last_error if state and state.last_error else None,
-        test_result={
-            'reward': reward,
-        },
-    )
-    runtime.close()
-    return output
-
-
-if __name__ == '__main__':
-    args = parse_arguments()
-
-    dataset = pd.DataFrame(
-        {
-            'instance_id': [
-                id
-                for id in gym.envs.registry.keys()
-                if id.startswith('browsergym/visualwebarena')
-            ]
-        }
-    )
-    llm_config = None
-    if args.llm_config:
-        llm_config = get_llm_config_arg(args.llm_config)
-    if llm_config is None:
-        raise ValueError(f'Could not find LLM config: --llm_config {args.llm_config}')
-    metadata = make_metadata(
-        llm_config,
-        'visualwebarena',
-        args.agent_cls,
-        args.max_iterations,
-        args.eval_note,
-        args.eval_output_dir,
-    )
-    output_file = os.path.join(metadata.eval_output_dir, 'output.jsonl')
-    instances = prepare_dataset(dataset, output_file, args.eval_n_limit)
-
-    run_evaluation(
-        instances,
-        metadata,
-        output_file,
-        args.eval_num_workers,
-        process_instance,
-    )

evaluation/benchmarks/visualwebarena/scripts/run_infer.sh

@@ -1,48 +0,0 @@
-#!/bin/bash
-set -eo pipefail
-
-source "evaluation/utils/version_control.sh"
-
-# configure browsing agent
-export USE_NAV="true"
-export USE_CONCISE_ANSWER="true"
-
-MODEL_CONFIG=$1
-COMMIT_HASH=$2
-AGENT=$3
-EVAL_LIMIT=$4
-NUM_WORKERS=$5
-
-if [ -z "$NUM_WORKERS" ]; then
-  NUM_WORKERS=1
-  echo "Number of workers not specified, use default $NUM_WORKERS"
-fi
-checkout_eval_branch
-
-if [ -z "$AGENT" ]; then
-  echo "Agent not specified, use default VisualBrowsingAgent"
-  AGENT="VisualBrowsingAgent"
-fi
-
-get_openhands_version
-
-echo "AGENT: $AGENT"
-echo "AGENT_VERSION: $OPENHANDS_VERSION"
-echo "MODEL_CONFIG: $MODEL_CONFIG"
-
-EVAL_NOTE="${OPENHANDS_VERSION}"
-
-COMMAND="poetry run python evaluation/benchmarks/visualwebarena/run_infer.py \
-  --agent-cls $AGENT \
-  --llm-config $MODEL_CONFIG \
-  --max-iterations 15 \
-  --eval-num-workers $NUM_WORKERS \
-  --eval-note $EVAL_NOTE"
-
-if [ -n "$EVAL_LIMIT" ]; then
-  echo "EVAL_LIMIT: $EVAL_LIMIT"
-  COMMAND="$COMMAND --eval-n-limit $EVAL_LIMIT"
-fi
-
-# Run the command
-eval $COMMAND

evaluation/benchmarks/webarena/run_infer.py

@@ -11,7 +11,6 @@ from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
     compatibility_for_eval_history_pairs,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -20,6 +19,7 @@ from evaluation.utils.shared import (
 from openhands.controller.state.state import State
 from openhands.core.config import (
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     parse_arguments,
 )
@@ -50,26 +50,28 @@ def get_config(
     assert base_url is not None, 'WEBARENA_BASE_URL must be set'
     assert openai_api_key is not None, 'OPENAI_API_KEY must be set'
 
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = 'python:3.12-bookworm'
-    sandbox_config.browsergym_eval_env = env_id
-    sandbox_config.runtime_startup_env_vars = {
-        'BASE_URL': base_url,
-        'OPENAI_API_KEY': openai_api_key,
-        'SHOPPING': f'{base_url}:7770/',
-        'SHOPPING_ADMIN': f'{base_url}:7780/admin',
-        'REDDIT': f'{base_url}:9999',
-        'GITLAB': f'{base_url}:8023',
-        'WIKIPEDIA': f'{base_url}:8888/wikipedia_en_all_maxi_2022-05/A/User:The_other_Kiwix_guy/Landing',
-        'MAP': f'{base_url}:3000',
-        'HOMEPAGE': f'{base_url}:4399',
-    }
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime='docker',
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            base_container_image='python:3.12-bookworm',
+            enable_auto_lint=True,
+            use_host_network=False,
+            browsergym_eval_env=env_id,
+            runtime_startup_env_vars={
+                'BASE_URL': base_url,
+                'OPENAI_API_KEY': openai_api_key,
+                'SHOPPING': f'{base_url}:7770/',
+                'SHOPPING_ADMIN': f'{base_url}:7780/admin',
+                'REDDIT': f'{base_url}:9999',
+                'GITLAB': f'{base_url}:8023',
+                'WIKIPEDIA': f'{base_url}:8888/wikipedia_en_all_maxi_2022-05/A/User:The_other_Kiwix_guy/Landing',
+                'MAP': f'{base_url}:3000',
+                'HOMEPAGE': f'{base_url}:4399',
+            },
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/integration_tests/run_infer.py

@@ -8,7 +8,6 @@ from evaluation.integration_tests.tests.base import BaseIntegrationTest, TestRes
 from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
-    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -22,6 +21,7 @@ from openhands.controller.state.state import State
 from openhands.core.config import (
     AgentConfig,
     AppConfig,
+    SandboxConfig,
     get_llm_config_arg,
     parse_arguments,
 )
@@ -35,7 +35,6 @@ from openhands.utils.async_utils import call_async_from_sync
 FAKE_RESPONSES = {
     'CodeActAgent': fake_user_response,
     'DelegatorAgent': fake_user_response,
-    'VisualBrowsingAgent': fake_user_response,
 }
 
 
@@ -43,14 +42,23 @@ def get_config(
     metadata: EvalMetadata,
     instance_id: str,
 ) -> AppConfig:
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.platform = 'linux/amd64'
     config = AppConfig(
         default_agent=metadata.agent_class,
         run_as_openhands=False,
         runtime=os.environ.get('RUNTIME', 'docker'),
         max_iterations=metadata.max_iterations,
-        sandbox=sandbox_config,
+        sandbox=SandboxConfig(
+            # use default base_container_image
+            enable_auto_lint=True,
+            use_host_network=False,
+            timeout=300,
+            # Add platform to the sandbox config to solve issue 4401
+            platform='linux/amd64',
+            api_key=os.environ.get('ALLHANDS_API_KEY', None),
+            remote_runtime_api_url=os.environ.get('SANDBOX_REMOTE_RUNTIME_API_URL'),
+            keep_runtime_alive=False,
+            remote_runtime_init_timeout=3600,
+        ),
         # do not mount workspace
         workspace_base=None,
         workspace_mount_path=None,

evaluation/utils/shared.py

@@ -16,8 +16,7 @@ from pydantic import BaseModel
 from tqdm import tqdm
 
 from openhands.controller.state.state import State
-from openhands.core.config import LLMConfig, SandboxConfig
-from openhands.core.config.agent_config import AgentConfig
+from openhands.core.config import LLMConfig
 from openhands.core.config.condenser_config import (
     CondenserConfig,
     NoOpCondenserConfig,
@@ -44,7 +43,6 @@ from openhands.memory.condenser import get_condensation_metadata
 class EvalMetadata(BaseModel):
     agent_class: str
     llm_config: LLMConfig
-    agent_config: AgentConfig | None = None
     max_iterations: int
     eval_output_dir: str
     start_time: str
@@ -169,7 +167,6 @@ def make_metadata(
     eval_output_dir: str,
     data_split: str | None = None,
     details: dict[str, Any] | None = None,
-    agent_config: AgentConfig | None = None,
     condenser_config: CondenserConfig | None = None,
 ) -> EvalMetadata:
     model_name = llm_config.model.split('/')[-1]
@@ -192,7 +189,6 @@ def make_metadata(
     metadata = EvalMetadata(
         agent_class=agent_class,
         llm_config=llm_config,
-        agent_config=agent_config,
         max_iterations=max_iterations,
         eval_output_dir=eval_output_path,
         start_time=time.strftime('%Y-%m-%d %H:%M:%S'),
@@ -555,18 +551,3 @@ def get_metrics(state: State) -> dict[str, Any]:
     metrics = state.metrics.get() if state.metrics else {}
     metrics['condenser'] = get_condensation_metadata(state)
     return metrics
-
-
-def get_default_sandbox_config_for_eval() -> SandboxConfig:
-    return SandboxConfig(
-        use_host_network=False,
-        # large enough timeout, since some testcases take very long to run
-        timeout=300,
-        api_key=os.environ.get('ALLHANDS_API_KEY', None),
-        remote_runtime_api_url=os.environ.get('SANDBOX_REMOTE_RUNTIME_API_URL'),
-        keep_runtime_alive=False,
-        remote_runtime_init_timeout=3600,
-        remote_runtime_api_timeout=120,
-        remote_runtime_enable_retries=True,
-        remote_runtime_class='sysbox',
-    )

frontend/__tests__/components/chat-message.test.tsx

@@ -1,6 +1,6 @@
-import { render, screen, waitFor } from "@testing-library/react";
+import { render, screen } from "@testing-library/react";
 import userEvent from "@testing-library/user-event";
-import { describe, it, expect } from "vitest";
+import { describe, it, expect, test } from "vitest";
 import { ChatMessage } from "#/components/features/chat/chat-message";
 
 describe("ChatMessage", () => {
@@ -45,9 +45,7 @@ describe("ChatMessage", () => {
 
     await user.click(copyToClipboardButton);
 
-    await waitFor(() =>
-      expect(navigator.clipboard.readText()).resolves.toBe("Hello, World!"),
-    );
+    expect(navigator.clipboard.readText()).resolves.toBe("Hello, World!");
   });
 
   it("should display an error toast if copying content to clipboard fails", async () => {});

frontend/__tests__/components/chat/chat-interface.test.tsx

@@ -1,5 +1,4 @@
 import { afterEach, beforeAll, describe, expect, it, vi } from "vitest";
-import type { Message } from "#/message";
 import { act, screen, waitFor, within } from "@testing-library/react";
 import userEvent from "@testing-library/user-event";
 import { renderWithProviders } from "test-utils";

frontend/__tests__/components/chat/expandable-message.test.tsx

@@ -2,7 +2,7 @@ import { describe, expect, it } from "vitest";
 import { screen } from "@testing-library/react";
 import { renderWithProviders } from "test-utils";
 import { ExpandableMessage } from "#/components/features/chat/expandable-message";
-import { vi } from "vitest"
+import { vi } from "vitest";
 
 vi.mock("react-i18next", async () => {
   const actual = await vi.importActual("react-i18next");

frontend/__tests__/components/context-menu/account-settings-context-menu.test.tsx

@@ -18,6 +18,7 @@ describe("AccountSettingsContextMenu", () => {
   it("should always render the right options", () => {
     render(
       <AccountSettingsContextMenu
+        onClickAccountSettings={onClickAccountSettingsMock}
         onLogout={onLogoutMock}
         onClose={onCloseMock}
         isLoggedIn
@@ -27,12 +28,30 @@ describe("AccountSettingsContextMenu", () => {
     expect(
       screen.getByTestId("account-settings-context-menu"),
     ).toBeInTheDocument();
+    expect(screen.getByText("ACCOUNT_SETTINGS$SETTINGS")).toBeInTheDocument();
     expect(screen.getByText("ACCOUNT_SETTINGS$LOGOUT")).toBeInTheDocument();
   });
 
+  it("should call onClickAccountSettings when the account settings option is clicked", async () => {
+    render(
+      <AccountSettingsContextMenu
+        onClickAccountSettings={onClickAccountSettingsMock}
+        onLogout={onLogoutMock}
+        onClose={onCloseMock}
+        isLoggedIn
+      />,
+    );
+
+    const accountSettingsOption = screen.getByText("ACCOUNT_SETTINGS$SETTINGS");
+    await user.click(accountSettingsOption);
+
+    expect(onClickAccountSettingsMock).toHaveBeenCalledOnce();
+  });
+
   it("should call onLogout when the logout option is clicked", async () => {
     render(
       <AccountSettingsContextMenu
+        onClickAccountSettings={onClickAccountSettingsMock}
         onLogout={onLogoutMock}
         onClose={onCloseMock}
         isLoggedIn
@@ -48,6 +67,7 @@ describe("AccountSettingsContextMenu", () => {
   test("onLogout should be disabled if the user is not logged in", async () => {
     render(
       <AccountSettingsContextMenu
+        onClickAccountSettings={onClickAccountSettingsMock}
         onLogout={onLogoutMock}
         onClose={onCloseMock}
         isLoggedIn={false}
@@ -63,13 +83,14 @@ describe("AccountSettingsContextMenu", () => {
   it("should call onClose when clicking outside of the element", async () => {
     render(
       <AccountSettingsContextMenu
+        onClickAccountSettings={onClickAccountSettingsMock}
         onLogout={onLogoutMock}
         onClose={onCloseMock}
         isLoggedIn
       />,
     );
 
-    const accountSettingsButton = screen.getByText("ACCOUNT_SETTINGS$LOGOUT");
+    const accountSettingsButton = screen.getByText("ACCOUNT_SETTINGS$SETTINGS");
     await user.click(accountSettingsButton);
     await user.click(document.body);
 

frontend/__tests__/components/features/analytics/analytics-consent-form-modal.test.tsx

@@ -1,34 +0,0 @@
-import userEvent from "@testing-library/user-event";
-import { describe, expect, it, vi } from "vitest";
-import { render, screen, waitFor } from "@testing-library/react";
-import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
-import { AnalyticsConsentFormModal } from "#/components/features/analytics/analytics-consent-form-modal";
-import OpenHands from "#/api/open-hands";
-import { SettingsProvider } from "#/context/settings-context";
-import { AuthProvider } from "#/context/auth-context";
-
-describe("AnalyticsConsentFormModal", () => {
-  it("should call saveUserSettings with consent", async () => {
-    const user = userEvent.setup();
-    const onCloseMock = vi.fn();
-    const saveUserSettingsSpy = vi.spyOn(OpenHands, "saveSettings");
-
-    render(<AnalyticsConsentFormModal onClose={onCloseMock} />, {
-      wrapper: ({ children }) => (
-        <AuthProvider>
-          <QueryClientProvider client={new QueryClient()}>
-            <SettingsProvider>{children}</SettingsProvider>
-          </QueryClientProvider>
-        </AuthProvider>
-      ),
-    });
-
-    const confirmButton = screen.getByTestId("confirm-preferences");
-    await user.click(confirmButton);
-
-    expect(saveUserSettingsSpy).toHaveBeenCalledWith(
-      expect.objectContaining({ user_consents_to_analytics: true }),
-    );
-    await waitFor(() => expect(onCloseMock).toHaveBeenCalled());
-  });
-});

frontend/__tests__/components/features/conversation-panel/conversation-card.test.tsx

@@ -1,14 +1,5 @@
 import { render, screen, within } from "@testing-library/react";
-import {
-  afterAll,
-  afterEach,
-  beforeAll,
-  describe,
-  expect,
-  it,
-  test,
-  vi,
-} from "vitest";
+import { afterEach, describe, expect, it, test, vi } from "vitest";
 import userEvent from "@testing-library/user-event";
 import { formatTimeDelta } from "#/utils/format-time-delta";
 import { ConversationCard } from "#/components/features/conversation-panel/conversation-card";
@@ -20,18 +11,10 @@ describe("ConversationCard", () => {
   const onChangeTitle = vi.fn();
   const onDownloadWorkspace = vi.fn();
 
-  beforeAll(() => {
-    vi.stubGlobal("window", { open: vi.fn() });
-  });
-
   afterEach(() => {
     vi.clearAllMocks();
   });
 
-  afterAll(() => {
-    vi.unstubAllGlobals();
-  });
-
   it("should render the conversation card", () => {
     render(
       <ConversationCard
@@ -46,8 +29,9 @@ describe("ConversationCard", () => {
     const expectedDate = `${formatTimeDelta(new Date("2021-10-01T12:00:00Z"))} ago`;
 
     const card = screen.getByTestId("conversation-card");
+    const title = within(card).getByTestId("conversation-card-title");
 
-    within(card).getByText("Conversation 1");
+    expect(title).toHaveValue("Conversation 1");
     within(card).getByText(expectedDate);
   });
 
@@ -164,8 +148,10 @@ describe("ConversationCard", () => {
       />,
     );
 
-    await clickOnEditButton(user);
     const title = screen.getByTestId("conversation-card-title");
+    expect(title).toBeDisabled();
+
+    await clickOnEditButton(user);
 
     expect(title).toBeEnabled();
     expect(screen.queryByTestId("context-menu")).not.toBeInTheDocument();
@@ -178,6 +164,7 @@ describe("ConversationCard", () => {
 
     expect(onChangeTitle).toHaveBeenCalledWith("New Conversation Name");
     expect(title).toHaveValue("New Conversation Name");
+    expect(title).toBeDisabled();
   });
 
   it("should reset title and not call onChangeTitle when the title is empty", async () => {
@@ -204,27 +191,7 @@ describe("ConversationCard", () => {
     expect(title).toHaveValue("Conversation 1");
   });
 
-  test("clicking the title should trigger the onClick handler", async () => {
-    const user = userEvent.setup();
-    render(
-      <ConversationCard
-        onClick={onClick}
-        onDelete={onDelete}
-        isActive
-        onChangeTitle={onChangeTitle}
-        title="Conversation 1"
-        selectedRepository={null}
-        lastUpdatedAt="2021-10-01T12:00:00Z"
-      />,
-    );
-
-    const title = screen.getByTestId("conversation-card-title");
-    await user.click(title);
-
-    expect(onClick).toHaveBeenCalled();
-  });
-
-  test("clicking the title should not trigger the onClick handler if edit mode", async () => {
+  test("clicking the title should not trigger the onClick handler", async () => {
     const user = userEvent.setup();
     render(
       <ConversationCard
@@ -237,8 +204,6 @@ describe("ConversationCard", () => {
       />,
     );
 
-    await clickOnEditButton(user);
-
     const title = screen.getByTestId("conversation-card-title");
     await user.click(title);
 

frontend/__tests__/components/features/conversation-panel/conversation-panel.test.tsx

@@ -1,4 +1,4 @@
-import { render, screen, waitFor, within } from "@testing-library/react";
+import { render, screen, within } from "@testing-library/react";
 import { beforeAll, beforeEach, describe, expect, it, vi } from "vitest";
 import {
   QueryClientProvider,
@@ -7,12 +7,10 @@ import {
 } from "@tanstack/react-query";
 import userEvent from "@testing-library/user-event";
 import { createRoutesStub } from "react-router";
-import React from "react";
 import { ConversationPanel } from "#/components/features/conversation-panel/conversation-panel";
 import OpenHands from "#/api/open-hands";
 import { AuthProvider } from "#/context/auth-context";
 import { clickOnEditButton } from "./utils";
-import { queryClientConfig } from "#/query-client-config";
 
 describe("ConversationPanel", () => {
   const onCloseMock = vi.fn();
@@ -179,10 +177,9 @@ describe("ConversationPanel", () => {
     const user = userEvent.setup();
     renderConversationPanel();
     const cards = await screen.findAllByTestId("conversation-card");
+    const title = within(cards[0]).getByTestId("conversation-card-title");
 
-    const card = cards[0];
-    await clickOnEditButton(user, card);
-    const title = within(card).getByTestId("conversation-card-title");
+    await clickOnEditButton(user);
 
     await user.clear(title);
     await user.type(title, "Conversation 1 Renamed");
@@ -203,10 +200,7 @@ describe("ConversationPanel", () => {
     const user = userEvent.setup();
     renderConversationPanel();
     const cards = await screen.findAllByTestId("conversation-card");
-
-    const card = cards[0];
-    await clickOnEditButton(user, card);
-    const title = within(card).getByTestId("conversation-card-title");
+    const title = within(cards[0]).getByTestId("conversation-card-title");
 
     await user.click(title);
     await user.tab();
@@ -231,53 +225,10 @@ describe("ConversationPanel", () => {
   it("should call onClose after clicking a card", async () => {
     renderConversationPanel();
     const cards = await screen.findAllByTestId("conversation-card");
-    const firstCard = cards[1];
+    const firstCard = cards[0];
 
     await userEvent.click(firstCard);
 
     expect(onCloseMock).toHaveBeenCalledOnce();
   });
-
-  it("should refetch data on rerenders", async () => {
-    // We need to simulate the toggling of the component to test the refetching
-    function PanelWithToggle() {
-      const [isOpen, setIsOpen] = React.useState(true);
-      return (
-        <>
-          <button type="button" onClick={() => setIsOpen((prev) => !prev)}>
-            Toggle
-          </button>
-          {isOpen && <ConversationPanel onClose={onCloseMock} />}
-        </>
-      );
-    }
-
-    const MyRouterStub = createRoutesStub([
-      {
-        Component: PanelWithToggle,
-        path: "/",
-      },
-    ]);
-
-    const getUserConversationsSpy = vi.spyOn(OpenHands, "getUserConversations");
-    render(<MyRouterStub />, {
-      wrapper: ({ children }) => (
-        <AuthProvider>
-          <QueryClientProvider client={new QueryClient(queryClientConfig)}>
-            {children}
-          </QueryClientProvider>
-        </AuthProvider>
-      ),
-    });
-
-    await waitFor(() => expect(getUserConversationsSpy).toHaveBeenCalledOnce());
-
-    const button = screen.getByText("Toggle");
-    await userEvent.click(button);
-    await userEvent.click(button);
-
-    await waitFor(() =>
-      expect(getUserConversationsSpy).toHaveBeenCalledTimes(2),
-    );
-  });
 });

frontend/__tests__/components/features/conversation-panel/utils.ts

@@ -1,16 +1,11 @@
 import { screen, within } from "@testing-library/react";
 import { UserEvent } from "@testing-library/user-event";
 
-export const clickOnEditButton = async (
-  user: UserEvent,
-  container?: HTMLElement,
-) => {
-  const wrapper = container ? within(container) : screen;
-
-  const ellipsisButton = wrapper.getByTestId("ellipsis-button");
+export const clickOnEditButton = async (user: UserEvent) => {
+  const ellipsisButton = screen.getByTestId("ellipsis-button");
   await user.click(ellipsisButton);
 
-  const menu = wrapper.getByTestId("context-menu");
+  const menu = screen.getByTestId("context-menu");
   const editButton = within(menu).getByTestId("edit-button");
 
   await user.click(editButton);

frontend/__tests__/components/features/payment/payment-form.test.tsx

@@ -1,166 +0,0 @@
-import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
-import { render, screen, waitFor } from "@testing-library/react";
-import userEvent from "@testing-library/user-event";
-import { afterEach, beforeEach, describe, expect, it, test, vi } from "vitest";
-import OpenHands from "#/api/open-hands";
-import { PaymentForm } from "#/components/features/payment/payment-form";
-
-describe("PaymentForm", () => {
-  const getBalanceSpy = vi.spyOn(OpenHands, "getBalance");
-  const createCheckoutSessionSpy = vi.spyOn(OpenHands, "createCheckoutSession");
-  const getConfigSpy = vi.spyOn(OpenHands, "getConfig");
-
-  const renderPaymentForm = () =>
-    render(<PaymentForm />, {
-      wrapper: ({ children }) => (
-        <QueryClientProvider client={new QueryClient()}>
-          {children}
-        </QueryClientProvider>
-      ),
-    });
-
-  beforeEach(() => {
-    // useBalance hook will return the balance only if the APP_MODE is "saas"
-    getConfigSpy.mockResolvedValue({
-      APP_MODE: "saas",
-      GITHUB_CLIENT_ID: "123",
-      POSTHOG_CLIENT_KEY: "456",
-    });
-  });
-
-  afterEach(() => {
-    vi.clearAllMocks();
-  });
-
-  it("should render the users current balance", async () => {
-    getBalanceSpy.mockResolvedValue("100.50");
-    renderPaymentForm();
-
-    await waitFor(() => {
-      const balance = screen.getByTestId("user-balance");
-      expect(balance).toHaveTextContent("$100.50");
-    });
-  });
-
-  it("should render the users current balance to two decimal places", async () => {
-    getBalanceSpy.mockResolvedValue("100");
-    renderPaymentForm();
-
-    await waitFor(() => {
-      const balance = screen.getByTestId("user-balance");
-      expect(balance).toHaveTextContent("$100.00");
-    });
-  });
-
-  test("the user can top-up a specific amount", async () => {
-    const user = userEvent.setup();
-    renderPaymentForm();
-
-    const topUpInput = await screen.findByTestId("top-up-input");
-    await user.type(topUpInput, "50.12");
-
-    const topUpButton = screen.getByText("Add credit");
-    await user.click(topUpButton);
-
-    expect(createCheckoutSessionSpy).toHaveBeenCalledWith(50.12);
-  });
-
-  it("should round the top-up amount to two decimal places", async () => {
-    const user = userEvent.setup();
-    renderPaymentForm();
-
-    const topUpInput = await screen.findByTestId("top-up-input");
-    await user.type(topUpInput, "50.125456");
-
-    const topUpButton = screen.getByText("Add credit");
-    await user.click(topUpButton);
-
-    expect(createCheckoutSessionSpy).toHaveBeenCalledWith(50.13);
-  });
-
-  it("should render the payment method link", async () => {
-    renderPaymentForm();
-
-    screen.getByTestId("payment-methods-link");
-  });
-
-  it("should disable the top-up button if the user enters an invalid amount", async () => {
-    const user = userEvent.setup();
-    renderPaymentForm();
-
-    const topUpButton = screen.getByText("Add credit");
-    expect(topUpButton).toBeDisabled();
-
-    const topUpInput = await screen.findByTestId("top-up-input");
-    await user.type(topUpInput, "  ");
-
-    expect(topUpButton).toBeDisabled();
-  });
-
-  it("should disable the top-up button after submission", async () => {
-    const user = userEvent.setup();
-    renderPaymentForm();
-
-    const topUpInput = await screen.findByTestId("top-up-input");
-    await user.type(topUpInput, "50.12");
-
-    const topUpButton = screen.getByText("Add credit");
-    await user.click(topUpButton);
-
-    expect(topUpButton).toBeDisabled();
-  });
-
-  describe("prevent submission if", () => {
-    test("user enters a negative amount", async () => {
-      const user = userEvent.setup();
-      renderPaymentForm();
-
-      const topUpInput = await screen.findByTestId("top-up-input");
-      await user.type(topUpInput, "-50.12");
-
-      const topUpButton = screen.getByText("Add credit");
-      await user.click(topUpButton);
-
-      expect(createCheckoutSessionSpy).not.toHaveBeenCalled();
-    });
-
-    test("user enters an empty string", async () => {
-      const user = userEvent.setup();
-      renderPaymentForm();
-
-      const topUpInput = await screen.findByTestId("top-up-input");
-      await user.type(topUpInput, "     ");
-
-      const topUpButton = screen.getByText("Add credit");
-      await user.click(topUpButton);
-
-      expect(createCheckoutSessionSpy).not.toHaveBeenCalled();
-    });
-
-    test("user enters a non-numeric value", async () => {
-      const user = userEvent.setup();
-      renderPaymentForm();
-
-      const topUpInput = await screen.findByTestId("top-up-input");
-      await user.type(topUpInput, "abc");
-
-      const topUpButton = screen.getByText("Add credit");
-      await user.click(topUpButton);
-
-      expect(createCheckoutSessionSpy).not.toHaveBeenCalled();
-    });
-
-    test("user enters less than the minimum amount", async () => {
-      const user = userEvent.setup();
-      renderPaymentForm();
-
-      const topUpInput = await screen.findByTestId("top-up-input");
-      await user.type(topUpInput, "20"); // test assumes the minimum is 25
-
-      const topUpButton = screen.getByText("Add credit");
-      await user.click(topUpButton);
-
-      expect(createCheckoutSessionSpy).not.toHaveBeenCalled();
-    });
-  });
-});

frontend/__tests__/components/features/sidebar/sidebar.test.tsx

@@ -1,31 +1,174 @@
+import { screen, within } from "@testing-library/react";
+import userEvent from "@testing-library/user-event";
 import { afterEach, describe, expect, it, vi } from "vitest";
 import { renderWithProviders } from "test-utils";
 import { createRoutesStub } from "react-router";
 import { Sidebar } from "#/components/features/sidebar/sidebar";
+import { MULTI_CONVERSATION_UI } from "#/utils/feature-flags";
 import OpenHands from "#/api/open-hands";
+import { MOCK_USER_PREFERENCES } from "#/mocks/handlers";
 
-// These tests will now fail because the conversation panel is rendered through a portal
-// and technically not a child of the Sidebar component.
+const renderSidebar = () => {
+  const RouterStub = createRoutesStub([
+    {
+      path: "/conversation/:conversationId",
+      Component: Sidebar,
+    },
+  ]);
 
-const RouterStub = createRoutesStub([
-  {
-    path: "/conversation/:conversationId",
-    Component: () => <Sidebar />,
-  },
-]);
-
-const renderSidebar = () =>
   renderWithProviders(<RouterStub initialEntries={["/conversation/123"]} />);
+};
 
 describe("Sidebar", () => {
-  const getSettingsSpy = vi.spyOn(OpenHands, "getSettings");
+  it.skipIf(!MULTI_CONVERSATION_UI)(
+    "should have the conversation panel open by default",
+    () => {
+      renderSidebar();
+      expect(screen.getByTestId("conversation-panel")).toBeInTheDocument();
+    },
+  );
 
-  afterEach(() => {
-    vi.clearAllMocks();
-  });
+  it.skipIf(!MULTI_CONVERSATION_UI)(
+    "should toggle the conversation panel",
+    async () => {
+      const user = userEvent.setup();
+      renderSidebar();
 
-  it("should fetch settings data on mount", () => {
-    renderSidebar();
-    expect(getSettingsSpy).toHaveBeenCalled();
+      const projectPanelButton = screen.getByTestId(
+        "toggle-conversation-panel",
+      );
+
+      await user.click(projectPanelButton);
+
+      expect(
+        screen.queryByTestId("conversation-panel"),
+      ).not.toBeInTheDocument();
+    },
+  );
+
+  describe("Settings", () => {
+    const getSettingsSpy = vi.spyOn(OpenHands, "getSettings");
+    const saveSettingsSpy = vi.spyOn(OpenHands, "saveSettings");
+
+    afterEach(() => {
+      vi.clearAllMocks();
+    });
+
+    it("should fetch settings data on mount", () => {
+      renderSidebar();
+      expect(getSettingsSpy).toHaveBeenCalledOnce();
+    });
+
+    it("should send all settings data when saving AI configuration", async () => {
+      const user = userEvent.setup();
+      renderSidebar();
+
+      const settingsButton = screen.getByTestId("settings-button");
+      await user.click(settingsButton);
+
+      const settingsModal = screen.getByTestId("ai-config-modal");
+      const saveButton = within(settingsModal).getByTestId(
+        "save-settings-button",
+      );
+      await user.click(saveButton);
+
+      expect(saveSettingsSpy).toHaveBeenCalledWith({
+        ...MOCK_USER_PREFERENCES.settings,
+        // the actual values are falsey (null or "") but we're checking for undefined
+        llm_api_key: undefined,
+        llm_base_url: undefined,
+        security_analyzer: undefined,
+      });
+    });
+
+    it("should send all settings data when saving account settings", async () => {
+      const user = userEvent.setup();
+      renderSidebar();
+
+      const userAvatar = screen.getByTestId("user-avatar");
+      await user.click(userAvatar);
+
+      const menu = screen.getByTestId("account-settings-context-menu");
+      const accountSettingsButton = within(menu).getByTestId(
+        "account-settings-button",
+      );
+      await user.click(accountSettingsButton);
+
+      const accountSettingsModal = screen.getByTestId("account-settings-form");
+      const saveButton =
+        within(accountSettingsModal).getByTestId("save-settings");
+      await user.click(saveButton);
+
+      expect(saveSettingsSpy).toHaveBeenCalledWith({
+        ...MOCK_USER_PREFERENCES.settings,
+        llm_api_key: undefined, // null or undefined
+      });
+    });
+
+    it("should not reset AI configuration when saving account settings", async () => {
+      const user = userEvent.setup();
+      renderSidebar();
+
+      const userAvatar = screen.getByTestId("user-avatar");
+      await user.click(userAvatar);
+
+      const menu = screen.getByTestId("account-settings-context-menu");
+      const accountSettingsButton = within(menu).getByTestId(
+        "account-settings-button",
+      );
+      await user.click(accountSettingsButton);
+
+      const accountSettingsModal = screen.getByTestId("account-settings-form");
+
+      const languageInput =
+        within(accountSettingsModal).getByLabelText(/language/i);
+      await user.click(languageInput);
+
+      const norskOption = screen.getByText(/norsk/i);
+      await user.click(norskOption);
+
+      const tokenInput =
+        within(accountSettingsModal).getByLabelText(/GITHUB\$TOKEN_LABEL/i);
+      await user.type(tokenInput, "new-token");
+
+      const saveButton =
+        within(accountSettingsModal).getByTestId("save-settings");
+      await user.click(saveButton);
+
+      expect(saveSettingsSpy).toHaveBeenCalledWith({
+        ...MOCK_USER_PREFERENCES.settings,
+        language: "no",
+        llm_api_key: undefined, // null or undefined
+      });
+    });
+
+    it("should not send the api key if its SET", async () => {
+      const user = userEvent.setup();
+      renderSidebar();
+
+      const settingsButton = screen.getByTestId("settings-button");
+      await user.click(settingsButton);
+
+      const settingsModal = screen.getByTestId("ai-config-modal");
+
+      // Click the advanced options switch to show the API key input
+      const advancedOptionsSwitch = within(settingsModal).getByTestId("advanced-option-switch");
+      await user.click(advancedOptionsSwitch);
+
+      const apiKeyInput = within(settingsModal).getByLabelText(/API\$KEY/i);
+      await user.type(apiKeyInput, "**********");
+
+      const saveButton = within(settingsModal).getByTestId(
+        "save-settings-button",
+      );
+      await user.click(saveButton);
+
+      expect(saveSettingsSpy).toHaveBeenCalledWith({
+        ...MOCK_USER_PREFERENCES.settings,
+        llm_api_key: undefined,
+        llm_base_url: "",
+        security_analyzer: undefined,
+      });
+    });
   });
 });

frontend/__tests__/components/features/waitlist-modal.test.tsx

@@ -14,7 +14,7 @@ describe("WaitlistModal", () => {
   });
 
   it("should render a tos checkbox that is unchecked by default", () => {
-    render(<WaitlistModal ghTokenIsSet={false} githubAuthUrl={null} />);
+    render(<WaitlistModal ghToken={null} githubAuthUrl={null} />);
     const checkbox = screen.getByRole("checkbox");
 
     expect(checkbox).not.toBeChecked();
@@ -22,7 +22,7 @@ describe("WaitlistModal", () => {
 
   it("should only enable the GitHub button if the tos checkbox is checked", async () => {
     const user = userEvent.setup();
-    render(<WaitlistModal ghTokenIsSet={false} githubAuthUrl={null} />);
+    render(<WaitlistModal ghToken={null} githubAuthUrl={null} />);
     const checkbox = screen.getByRole("checkbox");
     const button = screen.getByRole("button", { name: "Connect to GitHub" });
 
@@ -40,7 +40,7 @@ describe("WaitlistModal", () => {
     );
 
     const user = userEvent.setup();
-    render(<WaitlistModal ghTokenIsSet={false} githubAuthUrl="mock-url" />);
+    render(<WaitlistModal ghToken={null} githubAuthUrl="mock-url" />);
 
     const checkbox = screen.getByRole("checkbox");
     await user.click(checkbox);