Compare commits

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14 Commits

Author SHA1 Message Date
openhands
57d07df83f Implement FE methods for GitHub installations and BitBucket workspaces 2025-07-21 20:05:26 +00:00
rohitvinodmalhotra@gmail.com
8f594310fa add endpoints for installations 2025-07-21 15:54:12 -04:00
rohitvinodmalhotra@gmail.com
a41280f3b8 add provider methods for getting installations 2025-07-21 15:50:55 -04:00
rohitvinodmalhotra@gmail.com
385accd267 add bitbucket workspaces 2025-07-21 15:21:22 -04:00
rohitvinodmalhotra@gmail.com
72a462681c add app installation hook 2025-07-21 15:19:19 -04:00
openhands
27caa0b5fd Remove repository filtering by provider for now 2025-07-21 19:08:34 +00:00
openhands
e8cabe6def Add provider dropdown to repository selection 2025-07-21 19:04:32 +00:00
rohitvinodmalhotra@gmail.com
8aa1ae712f update mock 2025-07-21 12:30:17 -04:00
rohitvinodmalhotra@gmail.com
993804dd4f fix tests 2025-07-21 12:25:08 -04:00
rohitvinodmalhotra@gmail.com
d5aaa8a67a add params to endpoint 2025-07-21 12:19:49 -04:00
rohitvinodmalhotra@gmail.com
9cc7823723 fix type + get bitbucket installations 2025-07-21 11:57:14 -04:00
openhands
def357024e Add get_paginated_repos method to BitBucketService 2025-07-21 15:48:52 +00:00
rohitvinodmalhotra@gmail.com
d868eb5dee paginate repos for gitlab 2025-07-21 11:35:10 -04:00
rohitvinodmalhotra@gmail.com
a88f3744da add method for paginated response 2025-07-21 11:20:45 -04:00
809 changed files with 26774 additions and 57889 deletions

2
.github/CODEOWNERS vendored
View File

@@ -2,7 +2,7 @@
# See https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners
# Frontend code owners
/frontend/ @amanape
/frontend/ @rbren @amanape
/openhands-ui/ @amanape
# Evaluation code owners

View File

@@ -1,71 +0,0 @@
#!/bin/bash
set -euxo pipefail
# This script updates the PR description with commands to run the PR locally
# It adds both Docker and uvx commands
# Get the branch name for the PR
BRANCH_NAME=$(gh pr view "$PR_NUMBER" --json headRefName --jq .headRefName)
# Define the Docker command
DOCKER_RUN_COMMAND="docker run -it --rm \
-p 3000:3000 \
-v /var/run/docker.sock:/var/run/docker.sock \
--add-host host.docker.internal:host-gateway \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:${SHORT_SHA}-nikolaik \
--name openhands-app-${SHORT_SHA} \
docker.all-hands.dev/all-hands-ai/openhands:${SHORT_SHA}"
# Define the uvx command
UVX_RUN_COMMAND="uvx --python 3.12 --from git+https://github.com/All-Hands-AI/OpenHands@${BRANCH_NAME} openhands"
# Get the current PR body
PR_BODY=$(gh pr view "$PR_NUMBER" --json body --jq .body)
# Prepare the new PR body with both commands
if echo "$PR_BODY" | grep -q "To run this PR locally, use the following command:"; then
# For existing PR descriptions, use a more robust approach
# Split the PR body at the "To run this PR locally" section and replace everything after it
BEFORE_SECTION=$(echo "$PR_BODY" | sed '/To run this PR locally, use the following command:/,$d')
NEW_PR_BODY=$(cat <<EOF
${BEFORE_SECTION}
To run this PR locally, use the following command:
GUI with Docker:
\`\`\`
${DOCKER_RUN_COMMAND}
\`\`\`
CLI with uvx:
\`\`\`
${UVX_RUN_COMMAND}
\`\`\`
EOF
)
else
# For new PR descriptions: use heredoc safely without indentation
NEW_PR_BODY=$(cat <<EOF
$PR_BODY
---
To run this PR locally, use the following command:
GUI with Docker:
\`\`\`
${DOCKER_RUN_COMMAND}
\`\`\`
CLI with uvx:
\`\`\`
${UVX_RUN_COMMAND}
\`\`\`
EOF
)
fi
# Update the PR description
echo "Updating PR description with Docker and uvx commands"
gh pr edit "$PR_NUMBER" --body "$NEW_PR_BODY"

View File

@@ -1,227 +0,0 @@
name: End-to-End Tests
on:
pull_request:
types: [opened, synchronize, reopened, labeled]
branches:
- main
- develop
workflow_dispatch:
jobs:
e2e-tests:
if: contains(github.event.pull_request.labels.*.name, 'end-to-end') || github.event_name == 'workflow_dispatch'
runs-on: ubuntu-latest
timeout-minutes: 60
env:
GITHUB_REPO_NAME: ${{ github.repository }}
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Install poetry via pipx
uses: abatilo/actions-poetry@v4
with:
poetry-version: 2.1.3
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
cache: 'poetry'
- name: Install system dependencies
run: |
sudo apt-get update
sudo apt-get install -y libgtk-3-0 libnotify4 libnss3 libxss1 libxtst6 xauth xvfb libgbm1 libasound2t64 netcat-openbsd
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: '22'
cache: 'npm'
cache-dependency-path: 'frontend/package-lock.json'
- name: Setup environment for end-to-end tests
run: |
# Create test results directory
mkdir -p test-results
# Create downloads directory for OpenHands (use a directory in the home folder)
mkdir -p $HOME/downloads
sudo chown -R $USER:$USER $HOME/downloads
sudo chmod -R 755 $HOME/downloads
- name: Build OpenHands
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
LLM_MODEL: ${{ secrets.LLM_MODEL || 'gpt-4o' }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY || 'test-key' }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
INSTALL_DOCKER: 1
RUNTIME: docker
FRONTEND_PORT: 12000
FRONTEND_HOST: 0.0.0.0
BACKEND_HOST: 0.0.0.0
BACKEND_PORT: 3000
ENABLE_BROWSER: true
INSTALL_PLAYWRIGHT: 1
run: |
# Fix poetry.lock file if needed
echo "Fixing poetry.lock file if needed..."
poetry lock
# Build OpenHands using make build
echo "Running make build..."
make build
# Install Chromium Headless Shell for Playwright (needed for pytest-playwright)
echo "Installing Chromium Headless Shell for Playwright..."
poetry run playwright install chromium-headless-shell
# Verify Playwright browsers are installed (for e2e tests only)
echo "Verifying Playwright browsers installation for e2e tests..."
BROWSER_CHECK=$(poetry run python tests/e2e/check_playwright.py 2>/dev/null)
if [ "$BROWSER_CHECK" != "chromium_found" ]; then
echo "ERROR: Chromium browser not found or not working for e2e tests"
echo "$BROWSER_CHECK"
exit 1
else
echo "Playwright browsers are properly installed for e2e tests."
fi
# Docker runtime will handle workspace directory creation
# Start the application using make run with custom parameters and reduced logging
echo "Starting OpenHands using make run..."
# Set environment variables to reduce logging verbosity
export PYTHONUNBUFFERED=1
export LOG_LEVEL=WARNING
export UVICORN_LOG_LEVEL=warning
export OPENHANDS_LOG_LEVEL=WARNING
FRONTEND_PORT=12000 FRONTEND_HOST=0.0.0.0 BACKEND_HOST=0.0.0.0 make run > /tmp/openhands-e2e-test.log 2>&1 &
# Store the PID of the make run process
MAKE_PID=$!
echo "OpenHands started with PID: $MAKE_PID"
# Wait for the application to start
echo "Waiting for OpenHands to start..."
max_attempts=15
attempt=1
while [ $attempt -le $max_attempts ]; do
echo "Checking if OpenHands is running (attempt $attempt of $max_attempts)..."
# Check if the process is still running
if ! ps -p $MAKE_PID > /dev/null; then
echo "ERROR: OpenHands process has terminated unexpectedly"
echo "Last 50 lines of the log:"
tail -n 50 /tmp/openhands-e2e-test.log
exit 1
fi
# Check if frontend port is open
if nc -z localhost 12000; then
# Verify we can get HTML content
if curl -s http://localhost:12000 | grep -q "<html"; then
echo "SUCCESS: OpenHands is running and serving HTML content on port 12000"
break
else
echo "Port 12000 is open but not serving HTML content yet"
fi
else
echo "Frontend port 12000 is not open yet"
fi
# Show log output on each attempt
echo "Recent log output:"
tail -n 20 /tmp/openhands-e2e-test.log
# Wait before next attempt
echo "Waiting 10 seconds before next check..."
sleep 10
attempt=$((attempt + 1))
# Exit if we've reached the maximum number of attempts
if [ $attempt -gt $max_attempts ]; then
echo "ERROR: OpenHands failed to start after $max_attempts attempts"
echo "Last 50 lines of the log:"
tail -n 50 /tmp/openhands-e2e-test.log
exit 1
fi
done
# Final verification that the app is running
if ! nc -z localhost 12000 || ! curl -s http://localhost:12000 | grep -q "<html"; then
echo "ERROR: OpenHands is not running properly on port 12000"
echo "Last 50 lines of the log:"
tail -n 50 /tmp/openhands-e2e-test.log
exit 1
fi
# Print success message
echo "OpenHands is running successfully on port 12000"
- name: Run end-to-end tests
env:
GITHUB_TOKEN: ${{ secrets.E2E_TEST_GITHUB_TOKEN }}
LLM_MODEL: ${{ secrets.LLM_MODEL || 'gpt-4o' }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY || 'test-key' }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
run: |
# Check if the application is running
if ! nc -z localhost 12000; then
echo "ERROR: OpenHands is not running on port 12000"
echo "Last 50 lines of the log:"
tail -n 50 /tmp/openhands-e2e-test.log
exit 1
fi
# Run the tests with detailed output
cd tests/e2e
poetry run python -m pytest \
test_settings.py::test_github_token_configuration \
test_conversation.py::test_conversation_start \
test_browsing_catchphrase.py::test_browsing_catchphrase \
-v --no-header --capture=no --timeout=900
- name: Upload test results
if: always()
uses: actions/upload-artifact@v4
with:
name: playwright-report
path: tests/e2e/test-results/
retention-days: 30
- name: Upload OpenHands logs
if: always()
uses: actions/upload-artifact@v4
with:
name: openhands-logs
path: |
/tmp/openhands-e2e-test.log
/tmp/openhands-e2e-build.log
/tmp/openhands-backend.log
/tmp/openhands-frontend.log
/tmp/backend-health-check.log
/tmp/frontend-check.log
/tmp/vite-config.log
/tmp/makefile-contents.log
retention-days: 30
- name: Cleanup
if: always()
run: |
# Stop OpenHands processes
echo "Stopping OpenHands processes..."
pkill -f "python -m openhands.server" || true
pkill -f "npm run dev" || true
pkill -f "make run" || true
# Print process status for debugging
echo "Checking if any OpenHands processes are still running:"
ps aux | grep -E "openhands|npm run dev" || true

View File

@@ -24,7 +24,7 @@ jobs:
runs-on: blacksmith-4vcpu-ubuntu-2204
strategy:
matrix:
node-version: [22]
node-version: 22
fail-fast: true
steps:
- name: Checkout

View File

@@ -332,5 +332,29 @@ jobs:
SHORT_SHA: ${{ steps.short_sha.outputs.SHORT_SHA }}
shell: bash
run: |
echo "Updating PR description with Docker and uvx commands"
bash ${GITHUB_WORKSPACE}/.github/scripts/update_pr_description.sh
echo "updating PR description"
DOCKER_RUN_COMMAND="docker run -it --rm \
-p 3000:3000 \
-v /var/run/docker.sock:/var/run/docker.sock \
--add-host host.docker.internal:host-gateway \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:$SHORT_SHA-nikolaik \
--name openhands-app-$SHORT_SHA \
docker.all-hands.dev/all-hands-ai/openhands:$SHORT_SHA"
PR_BODY=$(gh pr view $PR_NUMBER --json body --jq .body)
if echo "$PR_BODY" | grep -q "To run this PR locally, use the following command:"; then
UPDATED_PR_BODY=$(echo "${PR_BODY}" | sed -E "s|docker run -it --rm.*|$DOCKER_RUN_COMMAND|")
else
UPDATED_PR_BODY="${PR_BODY}
---
To run this PR locally, use the following command:
\`\`\`
$DOCKER_RUN_COMMAND
\`\`\`"
fi
echo "updated body: $UPDATED_PR_BODY"
gh pr edit $PR_NUMBER --body "$UPDATED_PR_BODY"

View File

@@ -29,12 +29,6 @@ jobs:
run: |
cd frontend
npm install --frozen-lockfile
- name: Generate i18n and route types
run: |
cd frontend
npm run make-i18n
npx react-router typegen || true
- name: Fix frontend lint issues
run: |
cd frontend
@@ -51,7 +45,7 @@ jobs:
git config --local user.email "openhands@all-hands.dev"
git config --local user.name "OpenHands Bot"
git add -A
git commit -m "🤖 Auto-fix frontend linting issues" --no-verify
git commit -m "🤖 Auto-fix frontend linting issues"
git push
# Python lint fixes
@@ -93,5 +87,5 @@ jobs:
git config --local user.email "openhands@all-hands.dev"
git config --local user.name "OpenHands Bot"
git add -A
git commit -m "🤖 Auto-fix Python linting issues" --no-verify
git commit -m "🤖 Auto-fix Python linting issues"
git push

View File

@@ -48,9 +48,11 @@ jobs:
- name: Build Environment
run: make build
- name: Run Unit Tests
run: PYTHONPATH=".:$PYTHONPATH" poetry run pytest --forked -n auto -svv ./tests/unit
run: poetry run pytest --forked -n auto -svv ./tests/unit
- name: Run Runtime Tests with CLIRuntime
run: PYTHONPATH=".:$PYTHONPATH" TEST_RUNTIME=cli poetry run pytest -svv tests/runtime/test_bash.py
run: TEST_RUNTIME=cli poetry run pytest -svv tests/runtime/test_bash.py
- name: Run E2E Tests
run: poetry run pytest -svv tests/e2e
# Run specific Windows python tests
test-on-windows:
@@ -73,13 +75,11 @@ jobs:
- name: Install Python dependencies using Poetry
run: poetry install --with dev,test,runtime
- name: Run Windows unit tests
run: poetry run pytest -svv tests/unit/runtime/utils/test_windows_bash.py
run: poetry run pytest -svv tests/unit/test_windows_bash.py
env:
PYTHONPATH: ".;$env:PYTHONPATH"
DEBUG: "1"
- name: Run Windows runtime tests with LocalRuntime
run: $env:TEST_RUNTIME="local"; poetry run pytest -svv tests/runtime/test_bash.py
env:
PYTHONPATH: ".;$env:PYTHONPATH"
TEST_RUNTIME: local
DEBUG: "1"

View File

@@ -1,135 +1,56 @@
# Run evaluation on a PR, after releases, or manually
# Run evaluation on a PR
name: Run Eval
# Runs when a PR is labeled with one of the "run-eval-" labels, after releases, or manually triggered
# Runs when a PR is labeled with one of the "run-eval-" labels
on:
pull_request:
types: [labeled]
release:
types: [published]
workflow_dispatch:
inputs:
branch:
description: 'Branch to evaluate'
required: true
default: 'main'
eval_instances:
description: 'Number of evaluation instances'
required: true
default: '50'
type: choice
options:
- '1'
- '2'
- '50'
- '100'
reason:
description: 'Reason for manual trigger'
required: false
default: ''
env:
# Environment variable for the master GitHub issue number where all evaluation results will be commented
# This should be set to the issue number where you want all evaluation results to be posted
MASTER_EVAL_ISSUE_NUMBER: ${{ vars.MASTER_EVAL_ISSUE_NUMBER || '0' }}
jobs:
trigger-job:
name: Trigger remote eval job
if: ${{ (github.event_name == 'pull_request' && (github.event.label.name == 'run-eval-1' || github.event.label.name == 'run-eval-2' || github.event.label.name == 'run-eval-50' || github.event.label.name == 'run-eval-100')) || github.event_name == 'release' || github.event_name == 'workflow_dispatch' }}
if: ${{ github.event.label.name == 'run-eval-1' || github.event.label.name == 'run-eval-2' || github.event.label.name == 'run-eval-50' || github.event.label.name == 'run-eval-100' }}
runs-on: blacksmith-4vcpu-ubuntu-2204
steps:
- name: Checkout branch
- name: Checkout PR branch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.head_ref || (github.event_name == 'workflow_dispatch' && github.event.inputs.branch) || github.ref }}
ref: ${{ github.head_ref }}
- name: Set evaluation parameters
id: eval_params
- name: Trigger remote job
env:
PR_BRANCH: ${{ github.head_ref }}
run: |
REPO_URL="https://github.com/${{ github.repository }}"
echo "Repository URL: $REPO_URL"
echo "PR Branch: $PR_BRANCH"
# Determine branch based on trigger type
if [[ "${{ github.event_name }}" == "pull_request" ]]; then
EVAL_BRANCH="${{ github.head_ref }}"
echo "PR Branch: $EVAL_BRANCH"
elif [[ "${{ github.event_name }}" == "workflow_dispatch" ]]; then
EVAL_BRANCH="${{ github.event.inputs.branch }}"
echo "Manual Branch: $EVAL_BRANCH"
else
# For release events, use the tag name or main branch
EVAL_BRANCH="${{ github.ref_name }}"
echo "Release Branch/Tag: $EVAL_BRANCH"
fi
# Determine evaluation instances based on trigger type
if [[ "${{ github.event_name }}" == "pull_request" ]]; then
if [[ "${{ github.event.label.name }}" == "run-eval-1" ]]; then
EVAL_INSTANCES="1"
elif [[ "${{ github.event.label.name }}" == "run-eval-2" ]]; then
EVAL_INSTANCES="2"
elif [[ "${{ github.event.label.name }}" == "run-eval-50" ]]; then
EVAL_INSTANCES="50"
elif [[ "${{ github.event.label.name }}" == "run-eval-100" ]]; then
EVAL_INSTANCES="100"
fi
elif [[ "${{ github.event_name }}" == "workflow_dispatch" ]]; then
EVAL_INSTANCES="${{ github.event.inputs.eval_instances }}"
else
# For release events, default to 50 instances
if [[ "${{ github.event.label.name }}" == "run-eval-1" ]]; then
EVAL_INSTANCES="1"
elif [[ "${{ github.event.label.name }}" == "run-eval-2" ]]; then
EVAL_INSTANCES="2"
elif [[ "${{ github.event.label.name }}" == "run-eval-50" ]]; then
EVAL_INSTANCES="50"
fi
echo "Evaluation instances: $EVAL_INSTANCES"
echo "repo_url=$REPO_URL" >> $GITHUB_OUTPUT
echo "eval_branch=$EVAL_BRANCH" >> $GITHUB_OUTPUT
echo "eval_instances=$EVAL_INSTANCES" >> $GITHUB_OUTPUT
- name: Trigger remote job
run: |
# Determine PR number for the remote evaluation system
if [[ "${{ github.event_name }}" == "pull_request" ]]; then
PR_NUMBER="${{ github.event.pull_request.number }}"
else
# For non-PR triggers, use the master issue number as PR number
PR_NUMBER="${{ env.MASTER_EVAL_ISSUE_NUMBER }}"
elif [[ "${{ github.event.label.name }}" == "run-eval-100" ]]; then
EVAL_INSTANCES="100"
fi
curl -X POST \
-H "Authorization: Bearer ${{ secrets.PAT_TOKEN }}" \
-H "Accept: application/vnd.github+json" \
-d "{\"ref\": \"main\", \"inputs\": {\"github-repo\": \"${{ steps.eval_params.outputs.repo_url }}\", \"github-branch\": \"${{ steps.eval_params.outputs.eval_branch }}\", \"pr-number\": \"${PR_NUMBER}\", \"eval-instances\": \"${{ steps.eval_params.outputs.eval_instances }}\"}}" \
-d "{\"ref\": \"main\", \"inputs\": {\"github-repo\": \"${REPO_URL}\", \"github-branch\": \"${PR_BRANCH}\", \"pr-number\": \"${{ github.event.pull_request.number }}\", \"eval-instances\": \"${EVAL_INSTANCES}\"}}" \
https://api.github.com/repos/All-Hands-AI/evaluation/actions/workflows/create-branch.yml/dispatches
# Send Slack message
if [[ "${{ github.event_name }}" == "pull_request" ]]; then
TRIGGER_URL="https://github.com/${{ github.repository }}/pull/${{ github.event.pull_request.number }}"
slack_text="PR $TRIGGER_URL has triggered evaluation on ${{ steps.eval_params.outputs.eval_instances }} instances..."
elif [[ "${{ github.event_name }}" == "release" ]]; then
TRIGGER_URL="https://github.com/${{ github.repository }}/releases/tag/${{ github.ref_name }}"
slack_text="Release $TRIGGER_URL has triggered evaluation on ${{ steps.eval_params.outputs.eval_instances }} instances..."
else
TRIGGER_URL="https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}"
slack_text="Manual trigger (${{ github.event.inputs.reason || 'No reason provided' }}) has triggered evaluation on ${{ steps.eval_params.outputs.eval_instances }} instances for branch ${{ steps.eval_params.outputs.eval_branch }}..."
fi
PR_URL="https://github.com/${{ github.repository }}/pull/${{ github.event.pull_request.number }}"
slack_text="PR $PR_URL has triggered evaluation on $EVAL_INSTANCES instances..."
curl -X POST -H 'Content-type: application/json' --data '{"text":"'"$slack_text"'"}' \
https://hooks.slack.com/services/${{ secrets.SLACK_TOKEN }}
- name: Comment on issue/PR
- name: Comment on PR
uses: KeisukeYamashita/create-comment@v1
with:
# For PR triggers, comment on the PR. For other triggers, comment on the master issue
number: ${{ github.event_name == 'pull_request' && github.event.pull_request.number || env.MASTER_EVAL_ISSUE_NUMBER }}
unique: false
comment: |
**Evaluation Triggered**
**Trigger:** ${{ github.event_name == 'pull_request' && format('Pull Request #{0}', github.event.pull_request.number) || (github.event_name == 'release' && 'Release') || format('Manual Trigger: {0}', github.event.inputs.reason || 'No reason provided') }}
**Branch:** ${{ steps.eval_params.outputs.eval_branch }}
**Instances:** ${{ steps.eval_params.outputs.eval_instances }}
**Commit:** ${{ github.sha }}
Running evaluation on the specified branch. Once eval is done, the results will be posted here.
Running evaluation on the PR. Once eval is done, the results will be posted.

View File

@@ -12,11 +12,11 @@ jobs:
steps:
- uses: actions/stale@v9
with:
stale-issue-message: 'This issue is stale because it has been open for 40 days with no activity. Remove the stale label or leave a comment, otherwise it will be closed in 10 days.'
stale-pr-message: 'This PR is stale because it has been open for 40 days with no activity. Remove the stale label or leave a comment, otherwise it will be closed in 10 days.'
days-before-stale: 40
stale-issue-message: 'This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.'
stale-pr-message: 'This PR is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.'
days-before-stale: 30
exempt-issue-labels: 'roadmap'
close-issue-message: 'This issue was automatically closed due to 50 days of inactivity. We do this to help keep the issues somewhat manageable and focus on active issues.'
close-pr-message: 'This PR was closed because it had no activity for 50 days. If you feel this was closed in error, and you would like to continue the PR, please resubmit or let us know.'
days-before-close: 10
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

View File

@@ -1,50 +0,0 @@
name: Welcome Good First Issue
on:
issues:
types: [labeled]
permissions:
issues: write
jobs:
comment-on-good-first-issue:
if: github.event.label.name == 'good first issue'
runs-on: ubuntu-latest
steps:
- name: Check if welcome comment already exists
id: check_comment
uses: actions/github-script@v7
with:
result-encoding: string
script: |
const issueNumber = context.issue.number;
const comments = await github.rest.issues.listComments({
...context.repo,
issue_number: issueNumber
});
const alreadyCommented = comments.data.some(
(comment) =>
comment.body.includes('<!-- auto-comment:good-first-issue -->')
);
return alreadyCommented ? 'true' : 'false';
- name: Leave welcome comment
if: steps.check_comment.outputs.result == 'false'
uses: actions/github-script@v7
with:
script: |
const repoUrl = `https://github.com/${context.repo.owner}/${context.repo.repo}`;
await github.rest.issues.createComment({
...context.repo,
issue_number: context.issue.number,
body: "🙌 **Hey there, future contributor!** 🙌\n\n" +
"This issue has been labeled as **good first issue**, which means it's a great place to get started with the OpenHands project.\n\n" +
"If you're interested in working on it, feel free to! No need to ask for permission.\n\n" +
"Be sure to check out our [development setup guide](" + repoUrl + "/blob/main/Development.md) to get your environment set up, and follow our [contribution guidelines](" + repoUrl + "/blob/main/CONTRIBUTING.md) when you're ready to submit a fix.\n\n" +
"🙌 Happy hacking! 🙌\n\n" +
"<!-- auto-comment:good-first-issue -->"
});

3
.gitignore vendored
View File

@@ -254,6 +254,3 @@ containers/runtime/Dockerfile
containers/runtime/project.tar.gz
containers/runtime/code
**/node_modules/
# test results
test-results

View File

@@ -15,6 +15,8 @@ make build && make run FRONTEND_PORT=12000 FRONTEND_HOST=0.0.0.0 BACKEND_HOST=0.
IMPORTANT: Before making any changes to the codebase, ALWAYS run `make install-pre-commit-hooks` to ensure pre-commit hooks are properly installed.
Before pushing any changes, you MUST ensure that any lint errors or simple test errors have been fixed.
* If you've made changes to the backend, you should run `pre-commit run --config ./dev_config/python/.pre-commit-config.yaml` (this will run on staged files).
@@ -30,12 +32,6 @@ then re-run the command to ensure it passes. Common issues include:
- Trailing whitespace
- Missing newlines at end of files
## Git Best Practices
- Prefer specific `git add <filename>` instead of `git add .` to avoid accidentally staging unintended files
- Be especially careful with `git reset --hard` after staging files, as it will remove accidentally staged files
- When remote has new changes, use `git fetch upstream && git rebase upstream/<branch>` on the same branch
## Repository Structure
Backend:
- Located in the `openhands` directory
@@ -87,8 +83,6 @@ VSCode Extension:
If you are starting a pull request (PR), please follow the template in `.github/pull_request_template.md`.
If you need to add labels when opening a PR, check the existing labels defined on that repository and select from existing ones. Do not invent your own labels.
## Implementation Details
These details may or may not be useful for your current task.
@@ -144,35 +138,6 @@ Your specialized knowledge and instructions here...
- Add the setting to the `Settings` model in `openhands/storage/data_models/settings.py`
- Update any relevant backend code to apply the setting (e.g., in session creation)
#### Settings UI Patterns:
There are two main patterns for saving settings in the OpenHands frontend:
**Pattern 1: Entity-based Resources (Immediate Save)**
- Used for: API Keys, Secrets, MCP Servers
- Behavior: Changes are saved immediately when user performs actions (add/edit/delete)
- Implementation:
- No "Save Changes" button
- No local state management or `isDirty` tracking
- Uses dedicated mutation hooks for each operation (e.g., `use-add-mcp-server.ts`, `use-delete-mcp-server.ts`)
- Each mutation triggers immediate API call with query invalidation for UI updates
- Example: MCP settings, API Keys & Secrets tabs
- Benefits: Simpler UX, no risk of losing changes, consistent with modern web app patterns
**Pattern 2: Form-based Settings (Manual Save)**
- Used for: Application settings, LLM configuration
- Behavior: Changes are accumulated locally and saved when user clicks "Save Changes"
- Implementation:
- Has "Save Changes" button that becomes enabled when changes are detected
- Uses local state management with `isDirty` tracking
- Uses `useSaveSettings` hook to save all changes at once
- Example: LLM tab, Application tab
- Benefits: Allows bulk changes, explicit save action, can validate all fields before saving
**When to use each pattern:**
- Use Pattern 1 (Immediate Save) for entity management where each item is independent
- Use Pattern 2 (Manual Save) for configuration forms where settings are interdependent or need validation
### Adding New LLM Models
To add a new LLM model to OpenHands, you need to update multiple files across both frontend and backend:

View File

@@ -1,158 +1,56 @@
#!/bin/bash
echo "Running OpenHands pre-commit hook..."
echo "This hook runs selective linting based on changed files."
# Store the exit code to return at the end
# This allows us to be additive to existing pre-commit hooks
EXIT_CODE=0
# Get the list of staged files
STAGED_FILES=$(git diff --cached --name-only)
# Check if frontend directory has changed
frontend_changes=$(git diff --cached --name-only | grep "^frontend/")
if [ -n "$frontend_changes" ]; then
echo "Frontend changes detected. Running frontend checks..."
# Check if any files match specific patterns
has_frontend_changes=false
has_backend_changes=false
has_vscode_changes=false
# Check if frontend directory exists
if [ -d "frontend" ]; then
# Change to frontend directory
cd frontend || exit 1
# Check each file individually to avoid issues with grep
for file in $STAGED_FILES; do
if [[ $file == frontend/* ]]; then
has_frontend_changes=true
elif [[ $file == openhands/* || $file == evaluation/* || $file == tests/* ]]; then
has_backend_changes=true
# Check for VSCode extension changes (subset of backend changes)
if [[ $file == openhands/integrations/vscode/* ]]; then
has_vscode_changes=true
fi
fi
done
echo "Analyzing changes..."
echo "- Frontend changes: $has_frontend_changes"
echo "- Backend changes: $has_backend_changes"
echo "- VSCode extension changes: $has_vscode_changes"
# Run frontend linting if needed
if [ "$has_frontend_changes" = true ]; then
# Check if we're in a CI environment or if frontend dependencies are missing
if [ -n "$CI" ] || ! command -v react-router &> /dev/null || ! command -v vitest &> /dev/null; then
echo "Skipping frontend checks (CI environment or missing dependencies detected)."
echo "WARNING: Frontend files have changed but frontend checks are being skipped."
echo "Please run 'make lint-frontend' manually before submitting your PR."
else
echo "Running frontend linting..."
make lint-frontend
# Run lint:fix
echo "Running npm lint:fix..."
npm run lint:fix
if [ $? -ne 0 ]; then
echo "Frontend linting failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "Frontend linting checks passed!"
fi
# Run additional frontend checks
if [ -d "frontend" ]; then
echo "Running additional frontend checks..."
cd frontend || exit 1
# Run build
echo "Running npm build..."
npm run build
if [ $? -ne 0 ]; then
echo "Frontend build failed. Please fix the issues before committing."
EXIT_CODE=1
fi
# Run tests
echo "Running npm test..."
npm test
if [ $? -ne 0 ]; then
echo "Frontend tests failed. Please fix the failing tests before committing."
EXIT_CODE=1
fi
cd ..
fi
fi
else
echo "Skipping frontend checks (no frontend changes detected)."
fi
# Run backend linting if needed
if [ "$has_backend_changes" = true ]; then
echo "Running backend linting..."
make lint-backend
if [ $? -ne 0 ]; then
echo "Backend linting failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "Backend linting checks passed!"
fi
else
echo "Skipping backend checks (no backend changes detected)."
fi
# Run VSCode extension checks if needed
if [ "$has_vscode_changes" = true ]; then
# Check if we're in a CI environment
if [ -n "$CI" ]; then
echo "Skipping VSCode extension checks (CI environment detected)."
echo "WARNING: VSCode extension files have changed but checks are being skipped."
echo "Please run VSCode extension checks manually before submitting your PR."
else
echo "Running VSCode extension checks..."
if [ -d "openhands/integrations/vscode" ]; then
cd openhands/integrations/vscode || exit 1
echo "Running npm lint:fix..."
npm run lint:fix
if [ $? -ne 0 ]; then
echo "VSCode extension linting failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "VSCode extension linting passed!"
fi
echo "Running npm typecheck..."
npm run typecheck
if [ $? -ne 0 ]; then
echo "VSCode extension type checking failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "VSCode extension type checking passed!"
fi
echo "Running npm compile..."
npm run compile
if [ $? -ne 0 ]; then
echo "VSCode extension compilation failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "VSCode extension compilation passed!"
fi
cd ../../..
fi
fi
else
echo "Skipping VSCode extension checks (no VSCode extension changes detected)."
fi
# If no specific code changes detected, run basic checks
if [ "$has_frontend_changes" = false ] && [ "$has_backend_changes" = false ]; then
echo "No specific code changes detected. Running basic checks..."
if [ -n "$STAGED_FILES" ]; then
# Run only basic pre-commit hooks for non-code files
poetry run pre-commit run --files $(echo "$STAGED_FILES" | tr '\n' ' ') --hook-stage commit --config ./dev_config/python/.pre-commit-config.yaml
# Run build
echo "Running npm build..."
npm run build
if [ $? -ne 0 ]; then
echo "Basic checks failed. Please fix the issues before committing."
echo "Frontend build failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "Basic checks passed!"
fi
# Run tests
echo "Running npm test..."
npm test
if [ $? -ne 0 ]; then
echo "Frontend tests failed. Please fix the failing tests before committing."
EXIT_CODE=1
fi
# Return to the original directory
cd ..
if [ $EXIT_CODE -eq 0 ]; then
echo "Frontend checks passed!"
fi
else
echo "No files changed. Skipping basic checks."
echo "Frontend directory not found. Skipping frontend checks."
fi
else
echo "No frontend changes detected. Skipping frontend checks."
fi
# Run any existing pre-commit hooks that might have been installed by the user

View File

@@ -34,7 +34,7 @@ _Dev Container: Reopen in Container_ command from the Command Palette
#### Develop without sudo access
If you want to develop without system admin/sudo access to upgrade/install `Python` and/or `NodeJS`, you can use
If you want to develop without system admin/sudo access to upgrade/install `Python` and/or `NodeJs`, you can use
`conda` or `mamba` to manage the packages for you:
```bash
@@ -71,7 +71,7 @@ This command will prompt you to enter the LLM API key, model name, and other var
tailored to your specific needs. Note that the model name will apply only when you run headless. If you use the UI,
please set the model in the UI.
Note: If you have previously run OpenHands using the docker command, you may have already set some environment
Note: If you have previously run OpenHands using the docker command, you may have already set some environmental
variables in your terminal. The final configurations are set from highest to lowest priority:
Environment variables > config.toml variables > default variables
@@ -154,12 +154,12 @@ poetry run pytest ./tests/unit/test_*.py
1. Add your dependency in `pyproject.toml` or use `poetry add xxx`.
2. Update the poetry.lock file via `poetry lock --no-update`.
### 10. Use existing Docker image
### 9. Use existing Docker image
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:0.54-nikolaik`
Example: `export SANDBOX_RUNTIME_CONTAINER_IMAGE=ghcr.io/all-hands-ai/runtime:0.49-nikolaik`
## Develop inside Docker container

View File

@@ -3,10 +3,10 @@ SHELL=/usr/bin/env bash
# Variables
BACKEND_HOST ?= "127.0.0.1"
BACKEND_PORT ?= 3000
BACKEND_PORT = 3000
BACKEND_HOST_PORT = "$(BACKEND_HOST):$(BACKEND_PORT)"
FRONTEND_HOST ?= "127.0.0.1"
FRONTEND_PORT ?= 3001
FRONTEND_PORT = 3001
DEFAULT_WORKSPACE_DIR = "./workspace"
DEFAULT_MODEL = "gpt-4o"
CONFIG_FILE = config.toml
@@ -174,7 +174,7 @@ install-python-dependencies:
fi
@echo "$(GREEN)Python dependencies installed successfully.$(RESET)"
install-frontend-dependencies: check-npm check-nodejs
install-frontend-dependencies:
@echo "$(YELLOW)Setting up frontend environment...$(RESET)"
@echo "$(YELLOW)Detect Node.js version...$(RESET)"
@cd frontend && node ./scripts/detect-node-version.js
@@ -182,17 +182,17 @@ install-frontend-dependencies: check-npm check-nodejs
@cd frontend && npm install
@echo "$(GREEN)Frontend dependencies installed successfully.$(RESET)"
install-pre-commit-hooks: check-python check-poetry install-python-dependencies
install-pre-commit-hooks:
@echo "$(YELLOW)Installing pre-commit hooks...$(RESET)"
@git config --unset-all core.hooksPath || true
@poetry run pre-commit install --config $(PRE_COMMIT_CONFIG_PATH)
@echo "$(GREEN)Pre-commit hooks installed successfully.$(RESET)"
lint-backend: install-pre-commit-hooks
lint-backend:
@echo "$(YELLOW)Running linters...$(RESET)"
@poetry run pre-commit run --all-files --show-diff-on-failure --config $(PRE_COMMIT_CONFIG_PATH)
lint-frontend: install-frontend-dependencies
lint-frontend:
@echo "$(YELLOW)Running linters for frontend...$(RESET)"
@cd frontend && npm run lint

View File

@@ -52,63 +52,37 @@ which comes with $20 in free credits for new users.
## 💻 Running OpenHands Locally
### Option 1: CLI Launcher (Recommended)
OpenHands can also run on your local system using Docker.
See the [Running OpenHands](https://docs.all-hands.dev/usage/installation) guide for
system requirements and more information.
The easiest way to run OpenHands locally is using the CLI launcher with [uv](https://docs.astral.sh/uv/). This provides better isolation from your current project's virtual environment and is required for OpenHands' default MCP servers.
> [!WARNING]
> On a public network? See our [Hardened Docker Installation Guide](https://docs.all-hands.dev/usage/runtimes/docker#hardened-docker-installation)
> to secure your deployment by restricting network binding and implementing additional security measures.
**Install uv** (if you haven't already):
See the [uv installation guide](https://docs.astral.sh/uv/getting-started/installation/) for the latest installation instructions for your platform.
**Launch OpenHands**:
```bash
# Launch the GUI server
uvx --python 3.12 --from openhands-ai openhands serve
# Or launch the CLI
uvx --python 3.12 --from openhands-ai openhands
```
You'll find OpenHands running at [http://localhost:3000](http://localhost:3000) (for GUI mode)!
### Option 2: Docker
<details>
<summary>Click to expand Docker command</summary>
You can also run OpenHands directly with Docker:
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik \
-e LOG_ALL_EVENTS=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-v ~/.openhands:/.openhands \
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
--name openhands-app \
docker.all-hands.dev/all-hands-ai/openhands:0.54
docker.all-hands.dev/all-hands-ai/openhands:0.49
```
</details>
> **Note**: If you used OpenHands before version 0.44, you may want to run `mv ~/.openhands-state ~/.openhands` to migrate your conversation history to the new location.
> [!WARNING]
> On a public network? See our [Hardened Docker Installation Guide](https://docs.all-hands.dev/usage/runtimes/docker#hardened-docker-installation)
> to secure your deployment by restricting network binding and implementing additional security measures.
### Getting Started
You'll find OpenHands running at [http://localhost:3000](http://localhost:3000)!
When you open the application, you'll be asked to choose an LLM provider and add an API key.
[Anthropic's Claude Sonnet 4](https://www.anthropic.com/api) (`anthropic/claude-sonnet-4-20250514`)
works best, but you have [many options](https://docs.all-hands.dev/usage/llms).
See the [Running OpenHands](https://docs.all-hands.dev/usage/installation) guide for
system requirements and more information.
## 💡 Other ways to run OpenHands
> [!WARNING]
@@ -119,8 +93,8 @@ system requirements and more information.
> [OpenHands Cloud Helm Chart](https://github.com/all-Hands-AI/OpenHands-cloud)
You can [connect OpenHands to your local filesystem](https://docs.all-hands.dev/usage/runtimes/docker#connecting-to-your-filesystem),
interact with it via a [friendly CLI](https://docs.all-hands.dev/usage/how-to/cli-mode),
run OpenHands in a scriptable [headless mode](https://docs.all-hands.dev/usage/how-to/headless-mode),
interact with it via a [friendly CLI](https://docs.all-hands.dev/usage/how-to/cli-mode),
or run it on tagged issues with [a github action](https://docs.all-hands.dev/usage/how-to/github-action).
Visit [Running OpenHands](https://docs.all-hands.dev/usage/installation) for more information and setup instructions.

View File

@@ -51,17 +51,17 @@ OpenHands也可以使用Docker在本地系统上运行。
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik \
-e LOG_ALL_EVENTS=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-v ~/.openhands:/.openhands \
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
--name openhands-app \
docker.all-hands.dev/all-hands-ai/openhands:0.54
docker.all-hands.dev/all-hands-ai/openhands:0.49
```
> **注意**: 如果您在0.44版本之前使用过OpenHands您可能需要运行 `mv ~/.openhands-state ~/.openhands` 来将对话历史迁移到新位置。

View File

@@ -42,17 +42,17 @@ OpenHandsはDockerを利用してローカル環境でも実行できます。
> 公共ネットワークで実行していますか?[Hardened Docker Installation Guide](https://docs.all-hands.dev/usage/runtimes/docker#hardened-docker-installation)を参照して、ネットワークバインディングの制限や追加のセキュリティ対策を実施してください。
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik \
-e LOG_ALL_EVENTS=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-v ~/.openhands:/.openhands \
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
--name openhands-app \
docker.all-hands.dev/all-hands-ai/openhands:0.54
docker.all-hands.dev/all-hands-ai/openhands:0.49
```
**注**: バージョン0.44以前のOpenHandsを使用していた場合は、会話履歴を移行するために `mv ~/.openhands-state ~/.openhands` を実行してください。

View File

@@ -93,7 +93,8 @@ def build_vscode_extension():
def build(setup_kwargs):
"""This function is called by Poetry during the build process.
"""
This function is called by Poetry during the build process.
`setup_kwargs` is a dictionary that will be passed to `setuptools.setup()`.
"""
print('--- Running custom Poetry build script (build_vscode.py) ---')

View File

@@ -21,7 +21,7 @@ ENV POETRY_NO_INTERACTION=1 \
POETRY_CACHE_DIR=/tmp/poetry_cache
RUN apt-get update -y \
&& apt-get install -y curl make git build-essential jq gettext \
&& apt-get install -y curl make git build-essential \
&& python3 -m pip install poetry --break-system-packages
COPY pyproject.toml poetry.lock ./
@@ -58,8 +58,8 @@ RUN sed -i 's/^UID_MIN.*/UID_MIN 499/' /etc/login.defs
# Default is 60000, but we've seen up to 200000
RUN sed -i 's/^UID_MAX.*/UID_MAX 1000000/' /etc/login.defs
RUN groupadd --gid $OPENHANDS_USER_ID app
RUN useradd -l -m -u $OPENHANDS_USER_ID --gid $OPENHANDS_USER_ID -s /bin/bash openhands && \
RUN groupadd app
RUN useradd -l -m -u $OPENHANDS_USER_ID -s /bin/bash openhands && \
usermod -aG app openhands && \
usermod -aG sudo openhands && \
echo '%sudo ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers

View File

@@ -23,18 +23,6 @@ if [ -z "$WORKSPACE_MOUNT_PATH" ]; then
unset WORKSPACE_BASE
fi
if [[ "$INSTALL_THIRD_PARTY_RUNTIMES" == "true" ]]; then
echo "Downloading and installing third_party_runtimes..."
echo "Warning: Third-party runtimes are provided as-is, not actively supported and may be removed in future releases."
if pip install 'openhands-ai[third_party_runtimes]' -qqq 2> >(tee /dev/stderr); then
echo "third_party_runtimes installed successfully."
else
echo "Failed to install third_party_runtimes." >&2
exit 1
fi
fi
if [[ "$SANDBOX_USER_ID" -eq 0 ]]; then
echo "Running OpenHands as root"
export RUN_AS_OPENHANDS=false

View File

@@ -12,7 +12,7 @@ services:
- SANDBOX_API_HOSTNAME=host.docker.internal
- DOCKER_HOST_ADDR=host.docker.internal
#
- SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-ghcr.io/all-hands-ai/runtime:0.54-nikolaik}
- SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-ghcr.io/all-hands-ai/runtime:0.49-nikolaik}
- SANDBOX_USER_ID=${SANDBOX_USER_ID:-1234}
- WORKSPACE_MOUNT_PATH=${WORKSPACE_BASE:-$PWD/workspace}
ports:

View File

@@ -40,7 +40,7 @@ repos:
hooks:
- id: mypy
additional_dependencies:
[types-requests, types-setuptools, types-pyyaml, types-toml, types-docker, types-Markdown, pydantic, lxml]
[types-requests, types-setuptools, types-pyyaml, types-toml, types-docker, pydantic, lxml]
# To see gaps add `--html-report mypy-report/`
entry: mypy --config-file dev_config/python/mypy.ini openhands/
always_run: true

View File

@@ -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:0.54-nikolaik}
- SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik}
#- SANDBOX_USER_ID=${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 for this user
- WORKSPACE_MOUNT_PATH=${WORKSPACE_BASE:-$PWD/workspace}
ports:

View File

@@ -37,16 +37,7 @@
"usage/cloud/bitbucket-installation",
"usage/cloud/github-installation",
"usage/cloud/gitlab-installation",
"usage/cloud/slack-installation",
{
"group": "Project Management Tools",
"pages": [
"usage/cloud/project-management/overview",
"usage/cloud/project-management/jira-integration",
"usage/cloud/project-management/jira-dc-integration",
"usage/cloud/project-management/linear-integration"
]
}
"usage/cloud/slack-installation"
]
},
"usage/cloud/cloud-ui",
@@ -71,7 +62,6 @@
{
"group": "Providers",
"pages": [
"usage/llms/openhands-llms",
"usage/llms/azure-llms",
"usage/llms/google-llms",
"usage/llms/groq",
@@ -79,6 +69,7 @@
"usage/llms/litellm-proxy",
"usage/llms/moonshot",
"usage/llms/openai-llms",
"usage/llms/openhands-llms",
"usage/llms/openrouter"
]
}

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@@ -2,102 +2,55 @@
title: Backend Architecture
---
<div style={{ textAlign: 'center' }}>
<img src="https://github.com/All-Hands-AI/OpenHands/assets/16201837/97d747e3-29d8-4ccb-8d34-6ad1adb17f38" alt="OpenHands System Architecture Diagram Jul 4 2024" />
<p><em>OpenHands System Architecture Diagram (July 4, 2024)</em></p>
</div>
This is a high-level overview of the system architecture. The system is divided into two main components: the frontend and the backend. The frontend is responsible for handling user interactions and displaying the results. The backend is responsible for handling the business logic and executing the agents.
# System overview
# Frontend architecture
```mermaid
flowchart LR
U["User"] --> FE["Frontend (SPA)"]
FE -- "HTTP/WS" --> BE["OpenHands Backend"]
BE --> ES["EventStream"]
BE --> ST["Storage"]
BE --> RT["Runtime Interface"]
BE --> LLM["LLM Providers"]
subgraph Runtime
direction TB
RT --> DRT["Docker Runtime"]
RT --> LRT["Local Runtime"]
RT --> RRT["Remote Runtime"]
DRT --> AES["Action Execution Server"]
LRT --> AES
RRT --> AES
AES --> Bash["Bash Session"]
AES --> Jupyter["Jupyter Plugin"]
AES --> Browser["BrowserEnv"]
end
```
![system_architecture.svg](/static/img/system_architecture.svg)
This Overview is simplified to show the main components and their interactions. For a more detailed view of the backend architecture, see the Backend Architecture section below.
# Backend Architecture
_**Disclaimer**: The backend architecture is a work in progress and is subject to change. The following diagram shows the current architecture of the backend based on the commit that is shown in the footer of the diagram._
```mermaid
classDiagram
class Agent {
<<abstract>>
+sandbox_plugins: list[PluginRequirement]
}
class CodeActAgent {
+tools
}
Agent <|-- CodeActAgent
class EventStream
class Observation
class Action
Action --> Observation
Agent --> EventStream
class Runtime {
+connect()
+send_action_for_execution()
}
class ActionExecutionClient {
+_send_action_server_request()
}
class DockerRuntime
class LocalRuntime
class RemoteRuntime
Runtime <|-- ActionExecutionClient
ActionExecutionClient <|-- DockerRuntime
ActionExecutionClient <|-- LocalRuntime
ActionExecutionClient <|-- RemoteRuntime
class ActionExecutionServer {
+/execute_action
+/alive
}
class BashSession
class JupyterPlugin
class BrowserEnv
ActionExecutionServer --> BashSession
ActionExecutionServer --> JupyterPlugin
ActionExecutionServer --> BrowserEnv
Agent --> Runtime
Runtime ..> ActionExecutionServer : REST
```
![backend_architecture.svg](/static/img/backend_architecture.svg)
<details>
<summary>Updating this Diagram</summary>
<div>
We maintain architecture diagrams inline with Mermaid in this MDX.
The generation of the backend architecture diagram is partially automated.
The diagram is generated from the type hints in the code using the py2puml
tool. The diagram is then manually reviewed, adjusted and exported to PNG
and SVG.
Guidance:
- Edit the Mermaid blocks directly (flowchart/classDiagram).
- Quote labels and edge text for GitHub preview compatibility.
- Keep relationships concise and reflect stable abstractions (agents, runtime client/server, plugins).
- Verify accuracy against code:
- openhands/runtime/impl/action_execution/action_execution_client.py
- openhands/runtime/impl/docker/docker_runtime.py
- openhands/runtime/impl/local/local_runtime.py
- openhands/runtime/action_execution_server.py
- openhands/runtime/plugins/*
- Build docs locally or view on GitHub to confirm diagrams render.
## Prerequisites
- Running python environment in which openhands is executable
(according to the instructions in the README.md file in the root of the repository)
- [py2puml](https://github.com/lucsorel/py2puml) installed
## Steps
1. Autogenerate the diagram by running the following command from the root of the repository:
`py2puml openhands openhands > docs/architecture/backend_architecture.puml`
2. Open the generated file in a PlantUML editor, e.g. Visual Studio Code with the PlantUML extension or [PlantText](https://www.planttext.com/)
3. Review the generated PUML and make all necessary adjustments to the diagram (add missing parts, fix mistakes, improve positioning).
_py2puml creates the diagram based on the type hints in the code, so missing or incorrect type hints may result in an incomplete or incorrect diagram._
4. Review the diff between the new and the previous diagram and manually check if the changes are correct.
_Make sure not to remove parts that were manually added to the diagram in the past and are still relevant._
5. Add the commit hash of the commit that was used to generate the diagram to the diagram footer.
6. Export the diagram as PNG and SVG files and replace the existing diagrams in the `docs/architecture` directory. This can be done with (e.g. [PlantText](https://www.planttext.com/))
</div>
</details>

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@@ -52,7 +52,7 @@ graph TD
2. Image Building: OpenHands builds a new Docker image (the "OH runtime image") based on the user-provided image. This new image includes OpenHands-specific code, primarily the "runtime client"
3. Container Launch: When OpenHands starts, it launches a Docker container using the OH runtime image
4. Action Execution Server Initialization: The action execution server initializes an `ActionExecutor` inside the container, setting up necessary components like a bash shell and loading any specified plugins
5. Communication: The OpenHands backend (client: `openhands/runtime/impl/action_execution/action_execution_client.py`; runtimes: `openhands/runtime/impl/docker/docker_runtime.py`, `openhands/runtime/impl/local/local_runtime.py`) communicates with the action execution server over RESTful API, sending actions and receiving observations
5. Communication: The OpenHands backend (`openhands/runtime/impl/eventstream/eventstream_runtime.py`) communicates with the action execution server over RESTful API, sending actions and receiving observations
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
@@ -72,7 +72,7 @@ Check out the [relevant code](https://github.com/All-Hands-AI/OpenHands/blob/mai
### Image Tagging System
OpenHands uses a three-tag system for its runtime images to balance reproducibility with flexibility.
The tags are:
Tags may be in one of 2 formats:
- **Versioned Tag**: `oh_v{openhands_version}_{base_image}` (e.g.: `oh_v0.9.9_nikolaik_s_python-nodejs_t_python3.12-nodejs22`)
- **Lock Tag**: `oh_v{openhands_version}_{16_digit_lock_hash}` (e.g.: `oh_v0.9.9_1234567890abcdef`)
@@ -119,52 +119,18 @@ This tagging approach allows OpenHands to efficiently manage both development an
2. The system can quickly rebuild images when minor changes occur (by leveraging recent compatible images)
3. The **lock** tag (e.g., `runtime:oh_v0.9.3_1234567890abcdef`) always points to the latest build for a particular base image, dependency, and OpenHands version combination
## Volume mounts: named volumes and overlay
OpenHands supports both bind mounts and Docker named volumes in SandboxConfig.volumes:
- Bind mount: "/abs/host/path:/container/path[:mode]"
- Named volume: "volume:<name>:/container/path[:mode]" or any non-absolute host spec treated as a named volume
Overlay mode (copy-on-write layer) is supported for bind mounts by appending ":overlay" to the mode (e.g., ":ro,overlay").
To enable overlay COW, set SANDBOX_VOLUME_OVERLAYS to a writable host directory; per-container upper/work dirs are created under it. If SANDBOX_VOLUME_OVERLAYS is unset, overlay mounts are skipped.
Implementation references:
- openhands/runtime/impl/docker/docker_runtime.py (named volumes in _build_docker_run_args; overlay mounts in _process_overlay_mounts)
- openhands/core/config/sandbox_config.py (volumes field)
## Runtime Plugin System
The OpenHands Runtime supports a plugin system that allows for extending functionality and customizing the runtime environment. Plugins are initialized when the action execution server starts up inside the runtime.
The OpenHands Runtime supports a plugin system that allows for extending functionality and customizing the runtime environment. Plugins are initialized when the runtime client starts up.
## Ports and URLs
Check [an example of Jupyter plugin here](https://github.com/All-Hands-AI/OpenHands/blob/ecf4aed28b0cf7c18d4d8ff554883ba182fc6bdd/openhands/runtime/plugins/jupyter/__init__.py#L21-L55) if you want to implement your own plugin.
- Host port allocation uses file-locked ranges for stability and concurrency:
- Main runtime port: find_available_port_with_lock on configured range
- VSCode port: SandboxConfig.sandbox.vscode_port if provided, else find_available_port_with_lock in VSCODE_PORT_RANGE
- App ports: two additional ranges for plugin/web apps
- DOCKER_HOST_ADDR (if set) adjusts how URLs are formed for LocalRuntime/Docker environments.
- VSCode URL is exposed with a connection token from the action execution server endpoint /vscode/connection_token and rendered as:
- Docker/Local: http://localhost:{port}/?tkn={token}&folder={workspace_mount_path_in_sandbox}
- RemoteRuntime: scheme://vscode-{host}/?tkn={token}&folder={workspace_mount_path_in_sandbox}
References:
- openhands/runtime/impl/docker/docker_runtime.py (port ranges, locking, DOCKER_HOST_ADDR, vscode_url)
- openhands/runtime/impl/local/local_runtime.py (vscode_url factory)
- openhands/runtime/impl/remote/remote_runtime.py (vscode_url mapping)
- openhands/runtime/action_execution_server.py (/vscode/connection_token)
Examples:
- Jupyter: openhands/runtime/plugins/jupyter/__init__.py (JupyterPlugin, Kernel Gateway)
- VS Code: openhands/runtime/plugins/vscode/* (VSCodePlugin, exposes tokenized URL)
- Agent Skills: openhands/runtime/plugins/agent_skills/*
*More details about the Plugin system are still under construction - contributions are welcomed!*
Key aspects of the plugin system:
1. Plugin Definition: Plugins are defined as Python classes that inherit from a base `Plugin` class
2. Plugin Registration: Available plugins are registered in `openhands/runtime/plugins/__init__.py` via `ALL_PLUGINS`
2. Plugin Registration: Available plugins are registered in an `ALL_PLUGINS` dictionary
3. Plugin Specification: Plugins are associated with `Agent.sandbox_plugins: list[PluginRequirement]`. Users can specify which plugins to load when initializing the runtime
4. Initialization: Plugins are initialized asynchronously when the runtime starts and are accessible to actions
5. Usage: Plugins extend capabilities (e.g., Jupyter for IPython cells); the server exposes any web endpoints (ports) via host port mapping
4. Initialization: Plugins are initialized asynchronously when the runtime client starts
5. Usage: The runtime client can use initialized plugins to extend its capabilities (e.g., the JupyterPlugin for running IPython cells)

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@@ -8,29 +8,6 @@ description: This guide walks you through the process of installing OpenHands Cl
- Signed in to [OpenHands Cloud](https://app.all-hands.dev) with [a Bitbucket account](/usage/cloud/openhands-cloud).
## IP Whitelisting
If your Bitbucket Cloud instance has IP restrictions, you'll need to whitelist the following IP addresses to allow OpenHands to access your repositories:
### Core App IP
```
34.68.58.200
```
### Runtime IPs
```
34.10.175.217
34.136.162.246
34.45.0.142
34.28.69.126
35.224.240.213
34.70.174.52
34.42.4.87
35.222.133.153
34.29.175.97
34.60.55.59
```
## Adding Bitbucket Repository Access
Upon signing into OpenHands Cloud with a Bitbucket account, OpenHands will have access to your repositories.

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@@ -1,126 +0,0 @@
---
title: Jira Data Center Integration (Beta)
description: Complete guide for setting up Jira Data Center integration with OpenHands Cloud, including service account creation, personal access token generation, webhook configuration, and workspace integration setup.
---
# Jira Data Center Integration
## Platform Configuration
### Step 1: Create Service Account
1. **Access User Management**
- Log in to Jira Data Center as administrator
- Go to **Administration** > **User Management**
2. **Create User**
- Click **Create User**
- Username: `openhands-agent`
- Full Name: `OpenHands Agent`
- Email: `openhands@yourcompany.com` (replace with your preferred service account email)
- Password: Set a secure password
- Click **Create**
3. **Assign Permissions**
- Add user to appropriate groups
- Ensure access to relevant projects
- Grant necessary project permissions
### Step 2: Generate API Token
1. **Personal Access Tokens**
- Log in as the service account
- Go to **Profile** > **Personal Access Tokens**
- Click **Create token**
- Name: `OpenHands Cloud Integration`
- Expiry: Set appropriate expiration (recommend 1 year)
- Click **Create**
- **Important**: Copy and store the token securely
### Step 3: Configure Webhook
1. **Create Webhook**
- Go to **Administration** > **System** > **WebHooks**
- Click **Create a WebHook**
- **Name**: `OpenHands Cloud Integration`
- **URL**: `https://app.all-hands.dev/integration/jira-dc/events`
- Set a suitable webhook secret
- **Issue related events**: Select the following:
- Issue updated
- Comment created
- **JQL Filter**: Leave empty (or customize as needed)
- Click **Create**
- **Important**: Copy and store the webhook secret securely (you'll need this for workspace integration)
---
## Workspace Integration
### Step 1: Log in to OpenHands Cloud
1. **Navigate and Authenticate**
- Go to [OpenHands Cloud](https://app.all-hands.dev/)
- Sign in with your Git provider (GitHub, GitLab, or BitBucket)
- **Important:** Make sure you're signing in with the same Git provider account that contains the repositories you want the OpenHands agent to work on.
### Step 2: Configure Jira Data Center Integration
1. **Access Integration Settings**
- Navigate to **Settings** > **Integrations**
- Locate **Jira Data Center** section
2. **Configure Workspace**
- Click **Configure** button
- Enter your workspace name and click **Connect**
- If no integration exists, you'll be prompted to enter additional credentials required for the workspace integration:
- **Webhook Secret**: The webhook secret from Step 3 above
- **Service Account Email**: The service account email from Step 1 above
- **Service Account API Key**: The personal access token from Step 2 above
- Ensure **Active** toggle is enabled
<Note>
Workspace name is the host name of your Jira Data Center instance.
Eg: http://jira.all-hands.dev/projects/OH/issues/OH-77
Here the workspace name is **jira.all-hands.dev**.
</Note>
3. **Complete OAuth Flow**
- You'll be redirected to Jira Data Center to complete OAuth verification
- Grant the necessary permissions to verify your workspace access. If you have access to multiple workspaces, select the correct one that you initially provided
- If successful, you will be redirected back to the **Integrations** settings in the OpenHands Cloud UI
### Managing Your Integration
**Edit Configuration:**
- Click the **Edit** button next to your configured platform
- Update any necessary credentials or settings
- Click **Update** to apply changes
- You will need to repeat the OAuth flow as before
- **Important:** Only the original user who created the integration can see the edit view
**Unlink Workspace:**
- In the edit view, click **Unlink** next to the workspace name
- This will deactivate your workspace link
- **Important:** If the original user who configured the integration chooses to unlink their integration, any users currently linked to that integration will also be unlinked, and the workspace integration will be deactivated. The integration can only be reactivated by the original user.
### Screenshots
<AccordionGroup>
<Accordion title="Workspace link flow">
![workspace-link.png](/static/img/jira-dc-user-link.png)
</Accordion>
<Accordion title="Workspace Configure flow">
![workspace-link.png](/static/img/jira-dc-admin-configure.png)
</Accordion>
<Accordion title="Edit view as a user">
![workspace-link.png](/static/img/jira-dc-user-unlink.png)
</Accordion>
<Accordion title="Edit view as the workspace creator">
![workspace-link.png](/static/img/jira-dc-admin-edit.png)
</Accordion>
</AccordionGroup>

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@@ -1,130 +0,0 @@
---
title: Jira Cloud Integration
description: Complete guide for setting up Jira Cloud integration with OpenHands Cloud, including service account creation, API token generation, webhook configuration, and workspace integration setup.
---
# Jira Cloud Integration
## Platform Configuration
### Step 1: Create Service Account
1. **Navigate to User Management**
- Go to [Atlassian Admin](https://admin.atlassian.com/)
- Select your organization
- Go to **Directory** > **Users**
2. **Create OpenHands Service Account**
- Click **Service accounts**
- Click **Create a service account**
- Name: `OpenHands Agent`
- Click **Next**
- Select **User** role for Jira app
- Click **Create**
### Step 2: Generate API Token
1. **Access Service Account Configuration**
- Locate the created service account from above step and click on it
- Click **Create API token**
- Set the expiry to 365 days (maximum allowed value)
- Click **Next**
- In **Select token scopes** screen, filter by following values
- App: Jira
- Scope type: Classic
- Scope actions: Write, Read
- Select `read:jira-work` and `write:jira-work` scopes
- Click **Next**
- Review and create API token
- **Important**: Copy and securely store the token immediately
### Step 3: Configure Webhook
1. **Navigate to Webhook Settings**
- Go to **Jira Settings** > **System** > **WebHooks**
- Click **Create a WebHook**
2. **Configure Webhook**
- **Name**: `OpenHands Cloud Integration`
- **Status**: Enabled
- **URL**: `https://app.all-hands.dev/integration/jira/events`
- **Issue related events**: Select the following:
- Issue updated
- Comment created
- **JQL Filter**: Leave empty (or customize as needed)
- Click **Create**
- **Important**: Copy and store the webhook secret securely (you'll need this for workspace integration)
---
## Workspace Integration
### Step 1: Log in to OpenHands Cloud
1. **Navigate and Authenticate**
- Go to [OpenHands Cloud](https://app.all-hands.dev/)
- Sign in with your Git provider (GitHub, GitLab, or BitBucket)
- **Important:** Make sure you're signing in with the same Git provider account that contains the repositories you want the OpenHands agent to work on.
### Step 2: Configure Jira Integration
1. **Access Integration Settings**
- Navigate to **Settings** > **Integrations**
- Locate **Jira Cloud** section
2. **Configure Workspace**
- Click **Configure** button
- Enter your workspace name and click **Connect**
- **Important:** Make sure you enter the full workspace name, eg: **yourcompany.atlassian.net**
- If no integration exists, you'll be prompted to enter additional credentials required for the workspace integration:
- **Webhook Secret**: The webhook secret from Step 3 above
- **Service Account Email**: The service account email from Step 1 above
- **Service Account API Key**: The API token from Step 2 above
- Ensure **Active** toggle is enabled
<Note>
Workspace name is the host name when accessing a resource in Jira Cloud.
Eg: https://all-hands.atlassian.net/browse/OH-55
Here the workspace name is **all-hands**.
</Note>
3. **Complete OAuth Flow**
- You'll be redirected to Jira Cloud to complete OAuth verification
- Grant the necessary permissions to verify your workspace access.
- If successful, you will be redirected back to the **Integrations** settings in the OpenHands Cloud UI
### Managing Your Integration
**Edit Configuration:**
- Click the **Edit** button next to your configured platform
- Update any necessary credentials or settings
- Click **Update** to apply changes
- You will need to repeat the OAuth flow as before
- **Important:** Only the original user who created the integration can see the edit view
**Unlink Workspace:**
- In the edit view, click **Unlink** next to the workspace name
- This will deactivate your workspace link
- **Important:** If the original user who configured the integration chooses to unlink their integration, any users currently linked to that workspace integration will also be unlinked, and the workspace integration will be deactivated. The integration can only be reactivated by the original user.
### Screenshots
<AccordionGroup>
<Accordion title="Workspace link flow">
![workspace-link.png](/static/img/jira-user-link.png)
</Accordion>
<Accordion title="Workspace Configure flow">
![workspace-link.png](/static/img/jira-admin-configure.png)
</Accordion>
<Accordion title="Edit view as a user">
![workspace-link.png](/static/img/jira-user-unlink.png)
</Accordion>
<Accordion title="Edit view as the workspace creator">
![workspace-link.png](/static/img/jira-admin-edit.png)
</Accordion>
</AccordionGroup>

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@@ -1,130 +0,0 @@
---
title: Linear Integration
description: Complete guide for setting up Linear integration with OpenHands Cloud, including service account creation, API key generation, webhook configuration, and workspace integration setup.
---
# Linear Integration
## Platform Configuration
### Step 1: Create Service Account
1. **Access Team Settings**
- Log in to Linear as a team admin
- Go to **Settings** > **Members**
2. **Invite Service Account**
- Click **Invite members**
- Email: `openhands@yourcompany.com` (replace with your preferred service account email)
- Role: **Member** (with appropriate team access)
- Send invitation
3. **Complete Setup**
- Accept invitation from the service account email
- Complete profile setup
- Ensure access to relevant teams/workspaces
### Step 2: Generate API Key
1. **Access API Settings**
- Log in as the service account
- Go to **Settings** > **Security & access**
2. **Create Personal API Key**
- Click **Create new key**
- Name: `OpenHands Cloud Integration`
- Scopes: Select the following:
- `Read` - Read access to issues and comments
- `Create comments` - Ability to create or update comments
- Select the teams you want to provide access to, or allow access for all teams you have permissions for
- Click **Create**
- **Important**: Copy and store the API key securely
### Step 3: Configure Webhook
1. **Access Webhook Settings**
- Go to **Settings** > **API** > **Webhooks**
- Click **New webhook**
2. **Configure Webhook**
- **Label**: `OpenHands Cloud Integration`
- **URL**: `https://app.all-hands.dev/integration/linear/events`
- **Resource types**: Select:
- `Comment` - For comment events
- `Issue` - For issue updates (label changes)
- Select the teams you want to provide access to, or allow access for all public teams
- Click **Create webhook**
- **Important**: Copy and store the webhook secret securely (you'll need this for workspace integration)
---
## Workspace Integration
### Step 1: Log in to OpenHands Cloud
1. **Navigate and Authenticate**
- Go to [OpenHands Cloud](https://app.all-hands.dev/)
- Sign in with your Git provider (GitHub, GitLab, or BitBucket)
- **Important:** Make sure you're signing in with the same Git provider account that contains the repositories you want the OpenHands agent to work on.
### Step 2: Configure Linear Integration
1. **Access Integration Settings**
- Navigate to **Settings** > **Integrations**
- Locate **Linear** section
2. **Configure Workspace**
- Click **Configure** button
- Enter your workspace name and click **Connect**
- If no integration exists, you'll be prompted to enter additional credentials required for the workspace integration:
- **Webhook Secret**: The webhook secret from Step 3 above
- **Service Account Email**: The service account email from Step 1 above
- **Service Account API Key**: The API key from Step 2 above
- Ensure **Active** toggle is enabled
<Note>
Workspace name is the identifier after the host name when accessing a resource in Linear.
Eg: https://linear.app/allhands/issue/OH-37
Here the workspace name is **allhands**.
</Note>
3. **Complete OAuth Flow**
- You'll be redirected to Linear to complete OAuth verification
- Grant the necessary permissions to verify your workspace access. If you have access to multiple workspaces, select the correct one that you initially provided
- If successful, you will be redirected back to the **Integrations** settings in the OpenHands Cloud UI
### Managing Your Integration
**Edit Configuration:**
- Click the **Edit** button next to your configured platform
- Update any necessary credentials or settings
- Click **Update** to apply changes
- You will need to repeat the OAuth flow as before
- **Important:** Only the original user who created the integration can see the edit view
**Unlink Workspace:**
- In the edit view, click **Unlink** next to the workspace name
- This will deactivate your workspace link
- **Important:** If the original user who configured the integration chooses to unlink their integration, any users currently linked to that integration will also be unlinked, and the workspace integration will be deactivated. The integration can only be reactivated by the original user.
### Screenshots
<AccordionGroup>
<Accordion title="Workspace link flow">
![workspace-link.png](/static/img/linear-user-link.png)
</Accordion>
<Accordion title="Workspace Configure flow">
![workspace-link.png](/static/img/linear-admin-configure.png)
</Accordion>
<Accordion title="Edit view as a user">
![workspace-link.png](/static/img/linear-admin-edit.png)
</Accordion>
<Accordion title="Edit view as the workspace creator">
![workspace-link.png](/static/img/workspace-admin-edit.png)
</Accordion>
</AccordionGroup>

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@@ -1,80 +0,0 @@
---
title: Project Management Tool Integrations
description: Overview of OpenHands Cloud integrations with project management platforms including Jira Cloud, Jira Data Center, and Linear. Learn about setup requirements, usage methods, and troubleshooting.
---
# Project Management Tool Integrations
## Overview
OpenHands Cloud integrates with project management platforms (Jira Cloud, Jira Data Center, and Linear) to enable AI-powered task delegation. Users can invoke the OpenHands agent by:
- Adding `@openhands` in ticket comments
- Adding the `openhands` label to tickets
## Prerequisites
Integration requires two levels of setup:
1. **Platform Configuration** - Administrative setup of service accounts and webhooks on your project management platform (see individual platform documentation below)
2. **Workspace Integration** - Self-service configuration through the OpenHands Cloud UI to link your OpenHands account to the target workspace
### Platform-Specific Setup Guides:
- [Jira Cloud Integration](./jira-integration.md)
- [Jira Data Center Integration](./jira-dc-integration.md)
- [Linear Integration](./linear-integration.md)
## Usage
Once both the platform configuration and workspace integration are completed, users can trigger the OpenHands agent within their project management platforms using two methods:
### Method 1: Comment Mention
Add a comment to any issue with `@openhands` followed by your task description:
```
@openhands Please implement the user authentication feature described in this ticket
```
### Method 2: Label-based Delegation
Add the label `openhands` to any issue. The OpenHands agent will automatically process the issue based on its description and requirements.
### Git Repository Detection
The OpenHands agent needs to identify which Git repository to work with when processing your issues. Here's how to ensure proper repository detection:
#### Specifying the Target Repository
**Required:** Include the target Git repository in your issue description or comment to ensure the agent works with the correct codebase.
**Supported Repository Formats:**
- Full HTTPS URL: `https://github.com/owner/repository.git`
- GitHub URL without .git: `https://github.com/owner/repository`
- Owner/repository format: `owner/repository`
#### Platform-Specific Behavior
**Linear Integration:** When GitHub integration is enabled for your Linear workspace with issue sync activated, the target repository is automatically detected from the linked GitHub issue. Manual specification is not required in this configuration.
**Jira Integrations:** Always include the repository information in your issue description or `@openhands` comment to ensure proper repository detection.
## Troubleshooting
### Platform Configuration Issues
- **Webhook not triggering**: Verify the webhook URL is correct and the proper event types are selected (Comment, Issue updated)
- **API authentication failing**: Check API key/token validity and ensure required scopes are granted. If your current API token is expired, make sure to update it in the respective integration settings
- **Permission errors**: Ensure the service account has access to relevant projects/teams and appropriate permissions
### Workspace Integration Issues
- **Workspace linking requests credentials**: If there are no active workspace integrations for the workspace you specified, you need to configure it first. Contact your platform administrator that you want to integrate with (eg: Jira, Linear)
- **Integration not found**: Verify the workspace name matches exactly and that platform configuration was completed first
- **OAuth flow fails**: Make sure that you're authorizing with the correct account with proper workspace access
### General Issues
- **Agent not responding**: Check webhook logs in your platform settings and verify service account status
- **Authentication errors**: Verify Git provider permissions and OpenHands Cloud access
- **Agent fails to identify git repo**: Ensure you're signing in with the same Git provider account that contains the repositories you want OpenHands to work on
- **Partial functionality**: Ensure both platform configuration and workspace integration are properly completed
### Getting Help
For additional support, contact OpenHands Cloud support with:
- Your integration platform (Linear, Jira Cloud, or Jira Data Center)
- Workspace name
- Error logs from webhook/integration attempts
- Screenshots of configuration settings (without sensitive credentials)

View File

@@ -12,10 +12,6 @@ description: This guide walks you through installing the OpenHands Slack app.
allowFullScreen>
</iframe>
<Info>
OpenHands utilizes a large language model (LLM), which may generate responses that are inaccurate or incomplete. While we strive for accuracy, OpenHands' outputs are not guaranteed to be correct, and we encourage users to validate critical information independently.
</Info>
## Prerequisites
- Access to OpenHands Cloud.
@@ -28,7 +24,7 @@ OpenHands utilizes a large language model (LLM), which may generate responses th
**This step is for Slack admins/owners**
1. Make sure you have permissions to install Apps to your workspace.
2. Click the button below to install OpenHands Slack App <a target="_blank" href="https://slack.com/oauth/v2/authorize?client_id=7477886716822.8729519890534&scope=app_mentions:read,channels:history,chat:write,groups:history,im:history,mpim:history,users:read&user_scope="><img alt="Add to Slack" height="40" width="139" src="https://platform.slack-edge.com/img/add_to_slack.png" srcSet="https://platform.slack-edge.com/img/add_to_slack.png 1x, https://platform.slack-edge.com/img/add_to_slack@2x.png 2x" /></a>
2. Click the button below to install OpenHands Slack App <a target="_blank" href="https://slack.com/oauth/v2/authorize?client_id=7477886716822.8729519890534&scope=app_mentions:read,chat:write,users:read,channels:history,groups:history,mpim:history,im:history&user_scope=channels:history,groups:history,im:history,mpim:history"><img alt="Add to Slack" height="40" width="139" src="https://platform.slack-edge.com/img/add_to_slack.png" srcSet="https://platform.slack-edge.com/img/add_to_slack.png 1x, https://platform.slack-edge.com/img/add_to_slack@2x.png 2x" /></a>
3. In the top right corner, select the workspace to install the OpenHands Slack app.
4. Review permissions and click allow.
@@ -65,7 +61,7 @@ To send follow-up messages for the same conversation, mention `@openhands` in a
Conversation is started by mentioning `@openhands`.
![slack-create-conversation.png](/static/img/slack-create-conversation.png)
![slack-create-convo.png](/static/img/slack-create-convo.png)
### See agent response and send follow up messages

View File

@@ -20,42 +20,27 @@ for scripting.
### Running with Python
**Note** - OpenHands requires Python version 3.12 or higher (Python 3.14 is not currently supported) and `uv` for the default `fetch` MCP server (more details below).
**Note** - OpenHands requires Python version 3.12 or higher (Python 3.14 is not currently supported)
#### Recommended: Using uv
1. Install OpenHands using pip:
```bash
pip install openhands-ai
```
We recommend using [uv](https://docs.astral.sh/uv/) for the best OpenHands experience. uv provides better isolation from your current project's virtual environment and is required for OpenHands' default MCP servers.
Or if you prefer not to manage your own Python environment, you can use `uvx`:
1. **Install uv** (if you haven't already):
See the [uv installation guide](https://docs.astral.sh/uv/getting-started/installation/) for the latest installation instructions for your platform.
2. **Launch OpenHands CLI**:
```bash
uvx --python 3.12 --from openhands-ai openhands
```
<AccordionGroup>
<Accordion title="Alternative: Traditional pip installation">
If you prefer to use pip:
```bash
# Install OpenHands
pip install openhands-ai
```
Note that you'll still need `uv` installed for the default MCP servers to work properly.
</Accordion>
<Accordion title="Create shell aliases for easy access across environments">
Add the following to your shell configuration file (`.bashrc`, `.zshrc`, etc.):
```bash
# Add OpenHands aliases (recommended)
# Add OpenHands aliases
alias openhands="uvx --python 3.12 --from openhands-ai openhands"
alias oh="uvx --python 3.12 --from openhands-ai openhands"
```
@@ -87,19 +72,18 @@ source ~/.bashrc # or source ~/.zshrc
</AccordionGroup>
3. Launch an interactive OpenHands conversation from the command line:
2. Launch an interactive OpenHands conversation from the command line:
```bash
# If using uvx (recommended)
uvx --python 3.12 --from openhands-ai openhands
openhands
```
<Note>
If you have cloned the repository, you can also run the CLI directly using Poetry:
poetry run openhands
poetry run python -m openhands.cli.main
</Note>
4. Set your model, API key, and other preferences using the UI (or alternatively environment variables, below).
3. Set your model, API key, and other preferences using the UI (or alternatively environment variables, below).
This command opens an interactive prompt where you can type tasks or commands and get responses from OpenHands.
The first time you run the CLI, it will take you through configuring the required LLM
@@ -119,7 +103,7 @@ The conversation history will be saved in `~/.openhands/sessions`.
```bash
docker run -it \
--pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik \
-e SANDBOX_USER_ID=$(id -u) \
-e SANDBOX_VOLUMES=$SANDBOX_VOLUMES \
-e LLM_API_KEY=$LLM_API_KEY \
@@ -128,8 +112,8 @@ docker run -it \
-v ~/.openhands:/.openhands \
--add-host host.docker.internal:host-gateway \
--name openhands-app-$(date +%Y%m%d%H%M%S) \
docker.all-hands.dev/all-hands-ai/openhands:0.54 \
python -m openhands.cli.entry --override-cli-mode true
docker.all-hands.dev/all-hands-ai/openhands:0.49 \
python -m openhands.cli.main --override-cli-mode true
```
<Note>
@@ -169,7 +153,6 @@ You can use the following commands whenever the prompt (`>`) is displayed:
| `/new` | Start a new conversation |
| `/settings` | View and modify current LLM/agent settings |
| `/resume` | Resume the agent if paused |
| `/mcp` | Manage MCP server configuration and view connection errors |
#### Settings and Configuration
@@ -179,7 +162,7 @@ follow the prompts:
- **Basic settings**: Choose a model/provider and enter your API key.
- **Advanced settings**: Set custom endpoints, enable or disable confirmation mode, and configure memory condensation.
Settings can also be managed via the `config.toml` file in the current directory or `~/.openhands/config.toml`.
Settings can also be managed via the `config.toml` file.
#### Repository Initialization
@@ -191,41 +174,6 @@ project details and structure. Use this when onboarding the agent to a new codeb
You can pause the agent while it is running by pressing `Ctrl-P`. To continue the conversation after pausing, simply
type `/resume` at the prompt.
#### MCP Server Management
To configure Model Context Protocol (MCP) servers, you can refer to the documentation on [MCP servers](../mcp) and use the `/mcp` command in the CLI. This command provides an interactive interface for managing Model Context Protocol (MCP) servers:
- **List configured servers**: View all currently configured MCP servers (SSE, Stdio, and SHTTP)
- **Add new server**: Interactively add a new MCP server with guided prompts
- **Remove server**: Remove an existing MCP server from your configuration
- **View errors**: Display any connection errors that occurred during MCP server startup
This command modifies your `~/.openhands/config.toml` file and will prompt you to restart OpenHands for changes to take effect.
By default, the [Fetch MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch) will be automatically configured for OpenHands. You can also [enable search engine](../search-engine-setup) via the [Tavily MCP server](https://github.com/tavily-ai/tavily-mcp) by setting the `search_api_key` under the `[core]` section in the `~/.openhands/config.toml` file.
##### Example of the `config.toml` file with MCP server configuration:
```toml
[core]
search_api_key = "tvly-your-api-key-here"
[mcp]
stdio_servers = [
{name="fetch", command="uvx", args=["mcp-server-fetch"]},
]
sse_servers = [
# Basic SSE server with just a URL
"http://example.com:8080/sse",
]
shttp_servers = [
# Streamable HTTP server with API key authentication
{url="https://secure-example.com/mcp", api_key="your-api-key"}
]
```
## Tips and Troubleshooting
- Use `/help` at any time to see the list of available commands.

View File

@@ -7,67 +7,6 @@ description: High level overview of the Graphical User Interface (GUI) in OpenHa
- [OpenHands is running](/usage/local-setup)
## Launching the GUI Server
### Using the CLI Command
You can launch the OpenHands GUI server directly from the command line using the `serve` command:
<Callout type="info">
**Prerequisites**: You need to have the [OpenHands CLI installed](/usage/how-to/cli-mode) first, OR have `uv` installed and run `uvx --python 3.12 --from openhands-ai openhands serve`. Otherwise, you'll need to use Docker directly (see the [Docker section](#using-docker-directly) below).
</Callout>
```bash
openhands serve
```
This command will:
- Check that Docker is installed and running
- Pull the required Docker images
- Launch the OpenHands GUI server at http://localhost:3000
- Use the same configuration directory (`~/.openhands`) as the CLI mode
#### Mounting Your Current Directory
To mount your current working directory into the GUI server container, use the `--mount-cwd` flag:
```bash
openhands serve --mount-cwd
```
This is useful when you want to work on files in your current directory through the GUI. The directory will be mounted at `/workspace` inside the container.
#### Using GPU Support
If you have NVIDIA GPUs and want to make them available to the OpenHands container, use the `--gpu` flag:
```bash
openhands serve --gpu
```
This will enable GPU support via nvidia-docker, mounting all available GPUs into the container. You can combine this with other flags:
```bash
openhands serve --gpu --mount-cwd
```
**Prerequisites for GPU support:**
- NVIDIA GPU drivers must be installed on your host system
- [NVIDIA Container Toolkit (nvidia-docker2)](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html) must be installed and configured
#### Requirements
Before using the `openhands serve` command, ensure that:
- Docker is installed and running on your system
- You have internet access to pull the required Docker images
- Port 3000 is available on your system
The CLI will automatically check these requirements and provide helpful error messages if anything is missing.
### Using Docker Directly
Alternatively, you can run the GUI server using Docker directly. See the [local setup guide](/usage/local-setup) for detailed Docker instructions.
## Overview
### Initial Setup

View File

@@ -61,7 +61,7 @@ export GITHUB_TOKEN="your-token" # Required for repository operations
# Run OpenHands
docker run -it \
--pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik \
-e SANDBOX_USER_ID=$(id -u) \
-e SANDBOX_VOLUMES=$SANDBOX_VOLUMES \
-e LLM_API_KEY=$LLM_API_KEY \
@@ -73,7 +73,7 @@ docker run -it \
-v ~/.openhands:/.openhands \
--add-host host.docker.internal:host-gateway \
--name openhands-app-$(date +%Y%m%d%H%M%S) \
docker.all-hands.dev/all-hands-ai/openhands:0.54 \
docker.all-hands.dev/all-hands-ai/openhands:0.49 \
python -m openhands.core.main -t "write a bash script that prints hi"
```

View File

@@ -18,7 +18,7 @@ Based on these findings and community feedback, these are the latest models that
### Cloud / API-Based Models
- [anthropic/claude-sonnet-4-20250514](https://www.anthropic.com/api) (recommended)
- [openai/gpt-5-2025-08-07](https://openai.com/api/) (recommended)
- [openai/o4-mini](https://openai.com/index/introducing-o3-and-o4-mini/)
- [gemini/gemini-2.5-pro](https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/)
- [deepseek/deepseek-chat](https://api-docs.deepseek.com/)
- [moonshot/kimi-k2-0711-preview](https://platform.moonshot.ai/docs/pricing/chat#generation-model-kimi-k2)
@@ -39,12 +39,6 @@ limits and monitor usage.
- [mistralai/devstral-small](https://www.all-hands.dev/blog/devstral-a-new-state-of-the-art-open-model-for-coding-agents) (20 May 2025) -- also available through [OpenRouter](https://openrouter.ai/mistralai/devstral-small:free)
- [all-hands/openhands-lm-32b-v0.1](https://www.all-hands.dev/blog/introducing-openhands-lm-32b----a-strong-open-coding-agent-model) (31 March 2025) -- also available through [OpenRouter](https://openrouter.ai/all-hands/openhands-lm-32b-v0.1)
### Known Issues
<Warning>
As of July 2025, there are known issues with Gemini 2.5 Pro conversations taking longer than normal with OpenHands. We are continuing to investigate.
</Warning>
<Note>
Most current local and open source models are not as powerful. When using such models, you may see long
wait times between messages, poor responses, or errors about malformed JSON. OpenHands can only be as powerful as the

View File

@@ -68,23 +68,23 @@ Download and install the LM Studio desktop app from [lmstudio.ai](https://lmstud
1. Check [the installation guide](/usage/local-setup) and ensure all prerequisites are met before running OpenHands, then run:
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik \
-e LOG_ALL_EVENTS=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-v ~/.openhands:/.openhands \
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
--name openhands-app \
docker.all-hands.dev/all-hands-ai/openhands:0.54
docker.all-hands.dev/all-hands-ai/openhands:0.49
```
2. Wait until the server is running (see log below):
```
Digest: sha256:e72f9baecb458aedb9afc2cd5bc935118d1868719e55d50da73190d3a85c674f
Status: Image is up to date for docker.all-hands.dev/all-hands-ai/openhands:0.54
Status: Image is up to date for docker.all-hands.dev/all-hands-ai/openhands:0.49
Starting OpenHands...
Running OpenHands as root
14:22:13 - openhands:INFO: server_config.py:50 - Using config class None

View File

@@ -30,6 +30,5 @@ When running OpenHands, you'll need to set the following in the OpenHands UI thr
## Pricing
Pricing follows official API provider rates. [You can view model prices here.](https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json)
For `qwen3-coder-480b`, we charge the cheapest FP8 rate available on openrouter: \$0.4 per million input tokens and \$1.6 per million output tokens.
Pricing follows official API provider rates.
[You can view model prices here.](https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json)

View File

@@ -66,64 +66,20 @@ A system with a modern processor and a minimum of **4GB RAM** is recommended to
### Start the App
#### Option 1: Using the CLI Launcher with uv (Recommended)
We recommend using [uv](https://docs.astral.sh/uv/) for the best OpenHands experience. uv provides better isolation from your current project's virtual environment and is required for OpenHands' default MCP servers (like the [fetch MCP server](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch)).
**Install uv** (if you haven't already):
See the [uv installation guide](https://docs.astral.sh/uv/getting-started/installation/) for the latest installation instructions for your platform.
**Launch OpenHands**:
```bash
# Launch the GUI server
uvx --python 3.12 --from openhands-ai openhands serve
# Or with GPU support (requires nvidia-docker)
uvx --python 3.12 --from openhands-ai openhands serve --gpu
# Or with current directory mounted
uvx --python 3.12 --from openhands-ai openhands serve --mount-cwd
```
This will automatically handle Docker requirements checking, image pulling, and launching the GUI server. The `--gpu` flag enables GPU support via nvidia-docker, and `--mount-cwd` mounts your current directory into the container.
<Accordion title="Alternative: Traditional pip installation">
If you prefer to use pip and have Python 3.12+ installed:
```bash
# Install OpenHands
pip install openhands-ai
# Launch the GUI server
openhands serve
```
Note that you'll still need `uv` installed for the default MCP servers to work properly.
</Accordion>
#### Option 2: Using Docker Directly
<Accordion title="Docker Command (Click to expand)">
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik \
-e LOG_ALL_EVENTS=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-v ~/.openhands:/.openhands \
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
--name openhands-app \
docker.all-hands.dev/all-hands-ai/openhands:0.54
docker.all-hands.dev/all-hands-ai/openhands:0.49
```
</Accordion>
> **Note**: If you used OpenHands before version 0.44, you may want to run `mv ~/.openhands-state ~/.openhands` to migrate your conversation history to the new location.
You'll find OpenHands running at http://localhost:3000!
@@ -144,16 +100,6 @@ OpenHands requires an API key to access most language models. Here's how to get
<AccordionGroup>
<Accordion title="OpenHands (Recommended)">
1. [Log in to OpenHands Cloud](https://app.all-hands.dev).
2. Go to the Settings page and navigate to the `API Keys` tab.
3. Copy your `LLM API Key`.
OpenHands provides access to state-of-the-art agentic coding models with competitive pricing. [Learn more about OpenHands LLM provider](/usage/llms/openhands-llms).
</Accordion>
<Accordion title="Anthropic (Claude)">
1. [Create an Anthropic account](https://console.anthropic.com/).

View File

@@ -10,83 +10,47 @@ Model Context Protocol (MCP) is a mechanism that allows OpenHands to communicate
servers can provide additional functionality to the agent, such as specialized data processing, external API access,
or custom tools. MCP is based on the open standard defined at [modelcontextprotocol.io](https://modelcontextprotocol.io).
<Note>
MCP is currently not available on OpenHands Cloud. This feature is only available when running OpenHands locally.
</Note>
### How MCP Works
When OpenHands starts, it:
1. Reads the MCP configuration.
2. Connects to any configured SSE and SHTTP servers.
3. Starts any configured stdio servers.
4. Registers the tools provided by these servers with the agent.
The agent can then use these tools just like any built-in tool. When the agent calls an MCP tool:
1. OpenHands routes the call to the appropriate MCP server.
2. The server processes the request and returns a response.
3. OpenHands converts the response to an observation and presents it to the agent.
## Configuration
MCP configuration can be defined in:
* The OpenHands UI through the Settings under the `MCP` tab.
* The `config.toml` file under the `[mcp]` section if not using the UI.
### Configuration Examples
#### Recommended: Using Proxy Servers (SSE/HTTP)
For stdio-based MCP servers, we recommend using MCP proxy tools like [`supergateway`](https://github.com/supercorp-ai/supergateway) instead of direct stdio connections.
[SuperGateway](https://github.com/supercorp-ai/supergateway) is a popular MCP proxy that converts stdio MCP servers to HTTP/SSE endpoints:
Start the proxy servers separately:
```bash
# Terminal 1: Filesystem server proxy
supergateway --stdio "npx @modelcontextprotocol/server-filesystem /" --port 8080
# Terminal 2: Fetch server proxy
supergateway --stdio "uvx mcp-server-fetch" --port 8081
```
Then configure OpenHands to use the HTTP endpoint:
### Configuration Example via config.toml
```toml
[mcp]
# SSE Servers - Recommended approach using proxy tools
# SSE Servers - External servers that communicate via Server-Sent Events
sse_servers = [
# Basic SSE server with just a URL
"http://example.com:8080/mcp",
# SuperGateway proxy for fetch server
"http://localhost:8081/sse",
# External MCP service with authentication
{url="https://api.example.com/mcp/sse", api_key="your-api-key"}
# SSE server with API key authentication
{url="https://secure-example.com/mcp", api_key="your-api-key"}
]
```
# SHTTP Servers - External servers that communicate via Streamable HTTP
shttp_servers = [
# Basic SHTTP server with just a URL
"http://example.com:8080/mcp",
# SHTTP server with API key authentication
{url="https://secure-example.com/mcp", api_key="your-api-key"}
]
#### Alternative: Direct Stdio Servers (Not Recommended for Production)
```toml
[mcp]
# Direct stdio servers - use only for development/testing
# Stdio Servers - Local processes that communicate via standard input/output
stdio_servers = [
# Basic stdio server
{name="fetch", command="uvx", args=["mcp-server-fetch"]},
# Stdio server with environment variables
{
name="filesystem",
command="npx",
args=["@modelcontextprotocol/server-filesystem", "/"],
name="data-processor",
command="python",
args=["-m", "my_mcp_server"],
env={
"DEBUG": "true"
"DEBUG": "true",
"PORT": "8080"
}
}
]
@@ -120,8 +84,6 @@ SHTTP (Streamable HTTP) servers are configured using either a string URL or an o
### Stdio Servers
**Note**: While stdio servers are supported, we recommend using MCP proxies (see above) for better reliability and performance.
Stdio servers are configured using an object with the following properties:
- `name` (required)
@@ -142,38 +104,20 @@ Stdio servers are configured using an object with the following properties:
- Default: `{}`
- Description: Environment variables to set for the server process
## How MCP Works
#### When to Use Direct Stdio
When OpenHands starts, it:
Direct stdio connections may still be appropriate in these scenarios:
- **Development and testing**: Quick prototyping of MCP servers
- **Simple, single-use tools**: Tools that don't require high reliability or concurrent access
- **Local-only environments**: When you don't want to manage additional proxy processes
1. Reads the MCP configuration.
2. Connects to any configured SSE and SHTTP servers.
3. Starts any configured stdio servers.
4. Registers the tools provided by these servers with the agent.
For production use, we recommend using proxy tools like SuperGateway.
The agent can then use these tools just like any built-in tool. When the agent calls an MCP tool:
### Other Proxy Tools
Other options include:
- **Custom FastAPI/Express servers**: Build your own HTTP wrapper around stdio MCP servers
- **Docker-based proxies**: Containerized solutions for better isolation
- **Cloud-hosted MCP services**: Third-party services that provide MCP endpoints
### Troubleshooting MCP Connections
#### Common Issues with Stdio Servers
- **Process crashes**: Stdio processes may crash without proper error handling
- **Deadlocks**: Stdio communication can deadlock under high load
- **Resource leaks**: Zombie processes if not properly managed
- **Debugging difficulty**: Hard to inspect stdio communication
#### Benefits of Using Proxies
- **HTTP status codes**: Clear error reporting via standard HTTP responses
- **Request logging**: Easy to log and monitor HTTP requests
- **Load balancing**: Can distribute requests across multiple server instances
- **Health checks**: HTTP endpoints can provide health status
- **CORS support**: Better integration with web-based tools
1. OpenHands routes the call to the appropriate MCP server.
2. The server processes the request and returns a response.
3. OpenHands converts the response to an observation and presents it to the agent.
## Transport Protocols

View File

@@ -130,28 +130,3 @@ docker run # ... \
<Note>
**Docker Desktop Required**: Network isolation features, including custom networks and `host.docker.internal` routing, require Docker Desktop. Docker Engine alone does not support these features on localhost across custom networks. If you're using Docker Engine without Docker Desktop, network isolation may not work as expected.
</Note>
### Sidecar Containers
If you want to run sidecar containers to the sandbox 'runner' containers without exposing the sandbox containers to the host network, you can use the `SANDBOX_ADDITIONAL_NETWORKS` environment variable to specify additional Docker network names that should be added to the sandbox containers.
```bash
docker network create openhands-sccache
docker run -d \
--hostname openhandsredis \
--network openhands-sccache \
redis
docker run # ...
-e SANDBOX_ADDITIONAL_NETWORKS='["openhands-sccache"]' \
# ...
```
Then all sandbox instances will have to access a shared redis instance at `openhandsredis:6379`.
#### Docker Compose gotcha
Note that Docker Compose adds a prefix (a scope) by default to created networks, which is not taken into account by the additional networks config. Therefore when using docker compose you have to either:
- specify a network name via the `name` field to remove the scoping (https://docs.docker.com/reference/compose-file/networks/#name)
- or provide the scope within the given config (e.g. `SANDBOX_ADDITIONAL_NETWORKS: '["myscope_openhands-sccache"]'` where `myscope` is the docker-compose assigned prefix).

View File

@@ -10,7 +10,6 @@ from evaluation.utils.shared import (
EvalOutput,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -19,8 +18,8 @@ from evaluation.utils.shared import (
from openhands.controller.state.state import State
from openhands.core.config import (
OpenHandsConfig,
get_evaluation_parser,
get_llm_config_arg,
get_parser,
)
from openhands.core.logger import openhands_logger as logger
from openhands.core.main import create_runtime, run_controller
@@ -147,7 +146,7 @@ def process_instance(
logger.info(f'Final message: {final_message} | Ground truth: {instance["text"]}')
test_result = game.reward()
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
# 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
@@ -173,7 +172,7 @@ def process_instance(
if __name__ == '__main__':
parser = get_evaluation_parser()
parser = get_parser()
parser.add_argument(
'--answerer_model', '-a', default='gpt-3.5-turbo', help='answerer model'
)

View File

@@ -18,7 +18,6 @@ from evaluation.utils.shared import (
EvalOutput,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -274,7 +273,7 @@ def process_instance(
# remove when it becomes unnecessary
histories = compatibility_for_eval_history_pairs(state.history)
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
# Save the output
output = EvalOutput(

View File

@@ -17,7 +17,6 @@ from evaluation.utils.shared import (
EvalOutput,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -247,7 +246,7 @@ def process_instance(
# 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)
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
# Save the output
output = EvalOutput(

View File

@@ -15,7 +15,6 @@ from evaluation.utils.shared import (
codeact_user_response,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -295,7 +294,7 @@ def process_instance(
raise ValueError('State should not be None.')
test_result = complete_runtime(runtime, instance)
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
# 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

View File

@@ -18,7 +18,6 @@ from evaluation.utils.shared import (
EvalOutput,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -423,7 +422,7 @@ def process_instance(
# 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 = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
# 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

View File

@@ -11,7 +11,6 @@ from evaluation.utils.shared import (
EvalOutput,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -89,7 +88,7 @@ def process_instance(
if state is None:
raise ValueError('State should not be None.')
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
# 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

View File

@@ -16,7 +16,6 @@ from evaluation.utils.shared import (
assert_and_raise,
codeact_user_response,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -27,8 +26,8 @@ from openhands.controller.state.state import State
from openhands.core.config import (
AgentConfig,
OpenHandsConfig,
get_evaluation_parser,
get_llm_config_arg,
get_parser,
)
from openhands.core.logger import openhands_logger as logger
from openhands.core.main import create_runtime, run_controller
@@ -118,7 +117,6 @@ def get_config(
default_agent=metadata.agent_class,
run_as_openhands=False,
max_iterations=metadata.max_iterations,
enable_browser=RUN_WITH_BROWSING,
runtime=os.environ.get('RUNTIME', 'docker'),
sandbox=sandbox_config,
# do not mount workspace
@@ -481,7 +479,7 @@ def process_instance(
# NOTE: this is NO LONGER the event stream, but an agent history that includes delegate agent's events
histories = [event_to_dict(event) for event in state.history]
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
# Save the output
output = EvalOutput(
@@ -507,6 +505,7 @@ def commit0_setup(dataset: pd.DataFrame, repo_split: str) -> pd.DataFrame:
Returns:
Filtered dataset based on split type
"""
filtered_dataset = pd.concat(
[
dataset[dataset['repo'].str.split('/').str[1] == repo]
@@ -525,7 +524,7 @@ def commit0_setup(dataset: pd.DataFrame, repo_split: str) -> pd.DataFrame:
if __name__ == '__main__':
parser = get_evaluation_parser()
parser = get_parser()
parser.add_argument(
'--dataset',
type=str,

View File

@@ -17,7 +17,6 @@ from evaluation.utils.shared import (
codeact_user_response,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -90,7 +89,8 @@ def get_config(
def get_dv_query_for_real(
datasets, question, domain_knowledge=None, workflow_tags=None
):
"""Prepare a structured query for the agent to execute on the specified datasets.
"""
Prepare a structured query for the agent to execute on the specified datasets.
This function constructs a query by compiling metadata from the provided datasets, along with any relevant domain knowledge and workflow tags.
@@ -104,6 +104,7 @@ def get_dv_query_for_real(
query_to_dv: Query to be run on the dataset
dataset_meta: Metadata of the dataset
"""
dataset_meta = ''
for dataset_metadata in datasets:
dataset_meta += 'Dataset name: ' + dataset_metadata['name']
@@ -139,7 +140,8 @@ def get_dv_query_for_real(
def initialize_runtime(runtime: Runtime, data_files: list[str]):
"""Initialize the runtime for the agent.
"""
Initialize the runtime for the agent.
This function is called before the runtime is used to run the agent.
"""
@@ -229,7 +231,8 @@ def process_instance(
metadata: EvalMetadata,
reset_logger: bool = True,
):
"""Process and evaluate a single instance of the dataset.
"""
Process and evaluate a single instance of the dataset.
This function executes the OpenHands agent
for a specific instance of the dataset. It retrieves
@@ -244,6 +247,7 @@ def process_instance(
Returns:
output: EvalOutput object
"""
config = get_config(metadata)
# Setup the logger properly, so you can run
@@ -295,7 +299,7 @@ def process_instance(
if state is None:
raise ValueError('State should not be None.')
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
test_result = complete_runtime(state)
# history is now available as a stream of events, rather than list of pairs of (Action, Observation)
@@ -352,7 +356,8 @@ def list_csv_files(list_of_datasets):
def create_dataset(repo_location: str, split: str = 'test'):
"""Create a dataset from the discoverybench repository
"""
Create a dataset from the discoverybench repository
by walking through the repository and extracting metadata
from the metadata_{}.json files
@@ -363,6 +368,7 @@ def create_dataset(repo_location: str, split: str = 'test'):
Returns:
df: DataFrame containing the dataset instances
"""
data_dict = {}
data_location = os.path.join(repo_location, 'discoverybench', 'real', split)

View File

@@ -10,6 +10,7 @@ import huggingface_hub
import pandas as pd
from datasets import load_dataset
from PIL import Image
from pydantic import SecretStr
from evaluation.benchmarks.gaia.scorer import question_scorer
from evaluation.benchmarks.gaia.utils import (
@@ -22,7 +23,6 @@ from evaluation.utils.shared import (
codeact_user_response,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -31,8 +31,8 @@ from evaluation.utils.shared import (
from openhands.controller.state.state import State
from openhands.core.config import (
OpenHandsConfig,
get_evaluation_parser,
get_llm_config_arg,
get_parser,
load_from_toml,
)
from openhands.core.config.utils import get_agent_config_arg
@@ -80,7 +80,8 @@ def get_config(
config_copy = copy.deepcopy(config)
load_from_toml(config_copy)
config.search_api_key = config_copy.search_api_key
if config_copy.search_api_key:
config.search_api_key = SecretStr(config_copy.search_api_key)
return config
@@ -270,7 +271,7 @@ Here is the task:
'model_answer': model_answer,
'ground_truth': instance['Final answer'],
}
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
# 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
@@ -293,7 +294,7 @@ Here is the task:
if __name__ == '__main__':
parser = get_evaluation_parser()
parser = get_parser()
parser.add_argument(
'--level',
type=str,

View File

@@ -12,7 +12,6 @@ from evaluation.utils.shared import (
codeact_user_response,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -21,8 +20,8 @@ from evaluation.utils.shared import (
from openhands.controller.state.state import State
from openhands.core.config import (
OpenHandsConfig,
get_evaluation_parser,
get_llm_config_arg,
get_parser,
)
from openhands.core.logger import openhands_logger as logger
from openhands.core.main import create_runtime, run_controller
@@ -109,7 +108,7 @@ def process_instance(
# attempt to parse model_answer
ast_eval_fn = instance['ast_eval']
correct, hallucination = ast_eval_fn(instance_id, model_answer_raw)
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
logger.info(
f'Final message: {model_answer_raw} | Correctness: {correct} | Hallucination: {hallucination}'
)
@@ -135,7 +134,7 @@ def process_instance(
if __name__ == '__main__':
parser = get_evaluation_parser()
parser = get_parser()
parser.add_argument(
'--hubs',
type=str,

View File

@@ -30,7 +30,6 @@ from evaluation.utils.shared import (
EvalOutput,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -39,8 +38,8 @@ from evaluation.utils.shared import (
from openhands.controller.state.state import State
from openhands.core.config import (
OpenHandsConfig,
get_evaluation_parser,
get_llm_config_arg,
get_parser,
)
from openhands.core.logger import openhands_logger as logger
from openhands.core.main import create_runtime, run_controller
@@ -293,7 +292,7 @@ Ok now its time to start solving the question. Good luck!
if state is None:
raise ValueError('State should not be None.')
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
# Save the output
output = EvalOutput(
@@ -313,7 +312,7 @@ Ok now its time to start solving the question. Good luck!
if __name__ == '__main__':
parser = get_evaluation_parser()
parser = get_parser()
# data split must be one of 'gpqa_main', 'gqpa_diamond', 'gpqa_experts', 'gpqa_extended'
parser.add_argument(
'--data-split',

View File

@@ -23,7 +23,6 @@ from evaluation.utils.shared import (
codeact_user_response,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -249,7 +248,7 @@ def process_instance(
if state is None:
raise ValueError('State should not be None.')
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
test_result = complete_runtime(runtime, instance)
# history is now available as a stream of events, rather than list of pairs of (Action, Observation)

View File

@@ -21,7 +21,7 @@ from evaluation.utils.shared import (
from openhands.core.config import (
LLMConfig,
OpenHandsConfig,
get_evaluation_parser,
get_parser,
load_openhands_config,
)
from openhands.core.logger import openhands_logger as logger
@@ -167,7 +167,7 @@ def process_predictions(predictions_path: str):
if __name__ == '__main__':
parser = get_evaluation_parser()
parser = get_parser()
parser.add_argument(
'-s',
'--eval-split',

View File

@@ -22,7 +22,6 @@ from evaluation.utils.shared import (
codeact_user_response,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -31,8 +30,8 @@ from evaluation.utils.shared import (
from openhands.controller.state.state import State
from openhands.core.config import (
OpenHandsConfig,
get_evaluation_parser,
get_llm_config_arg,
get_parser,
load_openhands_config,
)
from openhands.core.logger import openhands_logger as logger
@@ -336,7 +335,7 @@ Be thorough in your exploration, testing, and reasoning. It's fine if your think
)
)
assert state is not None
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else {}
test_result = complete_runtime(runtime, instance)
@@ -359,7 +358,7 @@ Be thorough in your exploration, testing, and reasoning. It's fine if your think
if __name__ == '__main__':
parser = get_evaluation_parser()
parser = get_parser()
parser.add_argument(
'-s',
'--eval-split',

View File

@@ -10,7 +10,6 @@ from evaluation.utils.shared import (
codeact_user_response,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -19,8 +18,8 @@ from evaluation.utils.shared import (
from openhands.controller.state.state import State
from openhands.core.config import (
OpenHandsConfig,
get_evaluation_parser,
get_llm_config_arg,
get_parser,
)
from openhands.core.logger import openhands_logger as logger
from openhands.core.main import create_runtime, run_controller
@@ -248,7 +247,7 @@ def process_instance(
)
test_result['final_message'] = final_message
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
# 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
@@ -268,7 +267,7 @@ def process_instance(
if __name__ == '__main__':
parser = get_evaluation_parser()
parser = get_parser()
parser.add_argument(
'--dataset',
type=str,

View File

@@ -13,7 +13,6 @@ from evaluation.utils.shared import (
codeact_user_response,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -175,7 +174,7 @@ def process_instance(
if state is None:
raise ValueError('State should not be None.')
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
# Instruction is the first message from the USER
instruction = ''

View File

@@ -15,7 +15,6 @@ from evaluation.utils.shared import (
EvalOutput,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -24,8 +23,8 @@ from evaluation.utils.shared import (
from openhands.controller.state.state import State
from openhands.core.config import (
OpenHandsConfig,
get_evaluation_parser,
get_llm_config_arg,
get_parser,
)
from openhands.core.logger import openhands_logger as logger
from openhands.core.main import create_runtime, run_controller
@@ -206,7 +205,7 @@ def process_instance(
task_state = state.extra_data['task_state']
logger.info('Task state: ' + str(task_state.to_dict()))
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
# 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
@@ -230,7 +229,7 @@ def process_instance(
if __name__ == '__main__':
parser = get_evaluation_parser()
parser = get_parser()
SUBSETS = [
# Eurus subset: https://arxiv.org/abs/2404.02078

View File

@@ -4,11 +4,7 @@ import pprint
import tqdm
from openhands.core.config import (
get_evaluation_parser,
get_llm_config_arg,
load_openhands_config,
)
from openhands.core.config import get_llm_config_arg, get_parser, load_openhands_config
from openhands.core.logger import openhands_logger as logger
from openhands.llm.llm import LLM
@@ -115,7 +111,7 @@ def classify_error(llm: LLM, failed_case: dict) -> str:
if __name__ == '__main__':
parser = get_evaluation_parser()
parser = get_parser()
parser.add_argument(
'--json_file_path',
type=str,

View File

@@ -26,7 +26,6 @@ from evaluation.utils.shared import (
codeact_user_response,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -35,8 +34,8 @@ from evaluation.utils.shared import (
from openhands.controller.state.state import State
from openhands.core.config import (
OpenHandsConfig,
get_evaluation_parser,
get_llm_config_arg,
get_parser,
load_openhands_config,
)
from openhands.core.logger import openhands_logger as logger
@@ -251,7 +250,7 @@ def process_instance(instance: Any, metadata: EvalMetadata, reset_logger: bool =
)
)
assert state is not None
metrics = get_metrics(state)
metrics = state.metrics.get() if state.metrics else {}
test_result = complete_runtime(runtime)
@@ -274,7 +273,7 @@ def process_instance(instance: Any, metadata: EvalMetadata, reset_logger: bool =
if __name__ == '__main__':
parser = get_evaluation_parser()
parser = get_parser()
parser.add_argument(
'-s',
'--eval-split',

View File

@@ -30,7 +30,7 @@ from evaluation.utils.shared import (
from openhands.core.config import (
LLMConfig,
OpenHandsConfig,
get_evaluation_parser,
get_parser,
)
from openhands.core.logger import openhands_logger as logger
from openhands.core.main import create_runtime
@@ -105,7 +105,8 @@ def process_instance(
log_dir: str | None = None,
runtime_failure_count: int = 0,
) -> EvalOutput:
"""Evaluate agent performance on a SWE-bench problem instance.
"""
Evaluate agent performance on a SWE-bench problem instance.
Note that this signature differs from the expected input to `run_evaluation`. Use
`functools.partial` to provide optional arguments before passing to the evaluation harness.
@@ -322,7 +323,7 @@ def process_instance(
if __name__ == '__main__':
parser = get_evaluation_parser()
parser = get_parser()
parser.add_argument(
'--input-file',
type=str,

View File

@@ -32,8 +32,8 @@ from openhands.controller.state.state import State
from openhands.core.config import (
AgentConfig,
OpenHandsConfig,
get_evaluation_parser,
get_llm_config_arg,
get_parser,
)
from openhands.core.logger import openhands_logger as logger
from openhands.core.main import create_runtime, run_controller
@@ -345,7 +345,6 @@ def get_config(
default_agent=metadata.agent_class,
run_as_openhands=False,
max_iterations=metadata.max_iterations,
enable_browser=RUN_WITH_BROWSING,
runtime=os.environ.get('RUNTIME', 'docker'),
sandbox=sandbox_config,
# do not mount workspace
@@ -772,7 +771,7 @@ def filter_dataset(dataset: pd.DataFrame, filter_column: str) -> pd.DataFrame:
if __name__ == '__main__':
# pdb.set_trace()
parser = get_evaluation_parser()
parser = get_parser()
parser.add_argument(
'--dataset',
type=str,

View File

@@ -1,45 +0,0 @@
# Evaluate OpenHands on NoCode-bench
## LLM Setup
Please follow [here](../../README.md#setup).
## Docker image download
Evaluating OpenHands on NoCode-bench need instance-level docker image.
Please follow the instructions of NoCode-bench image setup to build or download all instance-level dokcer [here](https://github.com/NoCode-bench/NoCode-bench).
## Generate patch
Please follow the instructions [here](../swe_bench/README.md#running-locally-with-docker)
For example,
```bash
bash ./evaluation/benchmarks/nocode_bench/scripts/run_infer_nc.sh llm.claude HEAD CodeActAgent 114 100 10 NoCode-bench/NoCode-bench_Verified test
```
The results will be generated in evaluation/evaluation_outputs/outputs/XXX/CodeActAgent/YYY/output.jsonl.
## Runing evaluation
First, install [NoCode-bench](https://github.com/NoCode-bench/NoCode-bench).
Second, convert the output.jsonl to patch.jsonl with [script](scripts/eval/convert.py).
```bash
python evaluation/benchmarks/multi_swe_bench/scripts/eval/convert.py
```
Finally, evaluate with NoCode-bench.
```bash
export PYTHONPATH=$PYTHONPATH:$(pwd)
python ./evaluation/eval.py \
--predictions_path ./all_preds.jsonl \ # <path_to_your_predictions>
--log_dir ./evaluation/logs \ # <path_to_your_log_dir>
--bench_tasks NoCode-bench/NoCode-bench_Verified \ # <dataset_name>
--max_workers 110 \ # <number_of_workers>
--output_file eval_result.txt \ # <path_to_your_output_file>
--image_level repo \ # <cache_image_level>
--timeout 600 \ # <timeout_in_seconds>
--proxy None # <proxy_if_needed>
```

View File

@@ -1,52 +0,0 @@
"""
Utilities for handling binary files and patch generation in SWE-bench evaluation.
"""
def remove_binary_diffs(patch_text):
"""
Remove binary file diffs from a git patch.
Args:
patch_text (str): The git patch text
Returns:
str: The cleaned patch text with binary diffs removed
"""
lines = patch_text.splitlines()
cleaned_lines = []
block = []
is_binary_block = False
for line in lines:
if line.startswith('diff --git '):
if block and not is_binary_block:
cleaned_lines.extend(block)
block = [line]
is_binary_block = False
elif 'Binary files' in line:
is_binary_block = True
block.append(line)
else:
block.append(line)
if block and not is_binary_block:
cleaned_lines.extend(block)
return '\n'.join(cleaned_lines)
def remove_binary_files_from_git():
"""
Generate a bash command to remove binary files from git staging.
Returns:
str: A bash command that removes binary files from git staging
"""
return """
for file in $(git status --porcelain | grep -E "^(M| M|\\?\\?|A| A)" | cut -c4-); do
if [ -f "$file" ] && (file "$file" | grep -q "executable" || git check-attr binary "$file" | grep -q "binary: set"); then
git rm -f "$file" 2>/dev/null || rm -f "$file"
echo "Removed: $file"
fi
done
""".strip()

View File

@@ -1,545 +0,0 @@
DOCPATH_PATTERNS = [
r'docs/',
r'^CHANGES\.rst$',
r'doc/',
r'ChangeLog',
r'^changelog/',
r'^CHANGES$',
]
MATPLOTLIB_CONFIG = {
k: {
'python': '3.11',
'conda_env': 'matplotlib_35',
'install': 'python -m pip install -e .',
'test_cmd': 'pytest -rA --color=no',
}
for k in ['3.5', '3.6', '3.7', '3.8', '3.9']
}
MATPLOTLIB_CONFIG.update(
{
k: {
'python': '3.8',
'conda_env': 'matplotlib_31',
'install': 'python -m pip install -e .',
'test_cmd': 'pytest -rA --color=no',
}
for k in ['3.1', '3.2', '3.3', '3.4']
}
)
MATPLOTLIB_CONFIG.update(
{
k: {
'python': '3.5',
'install': 'python setup.py build; python setup.py install',
'conda_env': 'matplotlib_11',
'nonroot': True,
'test_cmd': 'pytest -rA --color=no',
}
for k in ['2.0', '2.1', '2.2', '1.0', '1.1', '1.2', '1.3', '1.4', '1.5']
}
)
for k in ['3.8', '3.9']:
MATPLOTLIB_CONFIG[k]['install'] = (
'python -m pip install --no-build-isolation -e ".[dev]"'
)
SYMPY_CONFIG = {}
SYMPY_CONFIG.update(
{
'1.0': {
'conda_env': 'sympy_10',
'install': 'pip install -e .',
'test_cmd': 'bin/test -C -v',
# testfile -k testname
}
}
)
REQUESTS_CONFIG = {}
REQUESTS_CONFIG.update(
{
k: {
'conda_env': 'requests_227',
'install': 'pip install -r requirements-dev.txt',
'test_cmd': 'pytest -rA',
}
for k in ['2.27']
}
)
REQUESTS_CONFIG.update(
{
k: {
'conda_env': 'requests_226',
'install': 'pip install -e .',
'test_cmd': 'pytest -rA',
}
for k in ['2.26']
}
)
PYTEST_CONFIG = {}
PYTEST_CONFIG.update(
{
k: {
'conda_env': 'pytest_33',
'install': 'pip install -e .',
'test_cmd': 'pytest -v --color=no',
}
for k in ['4.4', '4.1', '3.7', '3.4', '3.3']
}
)
PYLINT_CONFIG = {}
PYLINT_CONFIG.update(
{
k: {
'conda_env': 'pylint_210',
'install': 'pip install -r requirements_test.txt',
'test_cmd': 'pytest -rA --color=no',
}
for k in [
'2.10',
'2.11',
'2.13',
'2.14',
'2.15',
'2.16',
'2.17',
'3.0',
'3.1',
'3.2',
'3.3',
]
}
)
PYLINT_CONFIG.update(
{
k: {
'conda_env': 'pylint_210',
'pre_install': [
r"sed -i 's/setuptools==[0-9.]\+/setuptools==58.0.0/' requirements_test_min.txt"
],
'install': 'pip install -r requirements_test.txt',
'test_cmd': 'pytest -rA --color=no',
}
for k in ['3.0', '3.1', '3.2', '3.3']
}
)
ASTROPY_CONFIG = {}
ASTROPY_CONFIG.update(
{
k: {
'conda_env': 'astropy_11',
'install': 'python -m pip install -e .[test] --verbose',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['1.1', '1.2', '1.3', '2.0']
}
)
ASTROPY_CONFIG.update(
{
k: {
'conda_env': 'astropy_30',
'pre_install': """echo '[pytest]
filterwarnings =
ignore::DeprecationWarning' > pytest.ini""",
'install': 'python -m pip install -e .[test] --verbose',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['3.0', '3.1', '3.2']
}
)
ASTROPY_CONFIG.update(
{
k: {
'conda_env': 'astropy_40',
'pre_install': [
r"""sed -i 's/requires = \["setuptools",/requires = \["setuptools==68.0.0",/' pyproject.toml"""
],
'install': 'python -m pip install -e .[test] --verbose',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['4.0']
}
)
ASTROPY_CONFIG.update(
{
k: {
'conda_env': 'astropy_41',
'pre_install': [
r"""sed -i 's/requires = \["setuptools",/requires = \["setuptools==68.0.0",/' pyproject.toml""",
"""sed -i 's/^qt_no_exception_capture = 1$/; qt_no_exception_capture = 1/' setup.cfg""",
r"""sed -i '/setuptools==68.0.0",/a \ "markupsafe==2.0.1",' pyproject.tomlsed -i '/setuptools==68.0.0",/a \ "markupsafe==2.0.1",' pyproject.toml""",
],
'install': 'python -m pip install -e .[test] --verbose',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['4.1']
}
)
ASTROPY_CONFIG.update(
{
k: {
'conda_env': 'astropy_42',
'pre_install': [
r"""sed -i 's/requires = \["setuptools",/requires = \["setuptools==68.0.0",/' pyproject.toml""",
r"""sed -i '/setuptools==68.0.0",/a \ "markupsafe==2.0.1",' pyproject.tomlsed -i '/setuptools==68.0.0",/a \ "markupsafe==2.0.1",' pyproject.toml""",
],
'install': 'python -m pip install -e .[test] --verbose',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['4.2', '4.3', '5.0', '5.1']
}
)
ASTROPY_CONFIG.update(
{
k: {
'conda_env': 'astropy_52',
'pre_install': [
r"""sed -i 's/requires = \["setuptools",/requires = \["setuptools==68.0.0",/' pyproject.toml"""
],
'install': 'python -m pip install -e .[test] --verbose',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['5.2', '5.3', '6.0', '6.1', '7.0']
}
)
DJANGO_CONFIG = {}
DJANGO_CONFIG.update(
{
k: {
'install': 'pip install -e .',
'conda_env': 'django_22',
'test_cmd': 'python tests/runtests.py --verbosity 2',
}
for k in ['1.9', '2.2']
}
)
DJANGO_CONFIG.update(
{
'3.2': {
'install': 'pip install -e .',
'conda_env': 'django_32',
'test_cmd': 'python tests/runtests.py --verbosity 2',
},
'4.2': {
'install': 'pip install -e .',
'conda_env': 'django_42',
'test_cmd': 'python tests/runtests.py --verbosity 2',
},
'5.1': {
'install': 'pip install -e .',
'conda_env': 'django_51',
'test_cmd': 'python tests/runtests.py --verbosity 2',
},
}
)
SPHINX_CONFIG = {}
SPHINX_CONFIG.update(
{ # 1.x 版本问题,实际无用
k: {
'conda_env': 'sphinx_20',
'install': 'python -m pip install -e .[test]',
'pre_install': ["sed -i 's/pytest/pytest -rA/' tox.ini"],
'test_cmd': 'tox --current-env -epy37 -v --',
}
for k in ['1.3', '1.4', '1.5', '1.6', '1.7', '1.8']
}
)
SPHINX_CONFIG.update(
{
k: {
'conda_env': 'sphinx_20',
'install': 'python -m pip install -e .[test]',
'pre_install': [
"sed -i 's/pytest/pytest -rA/' tox.ini",
"sed -i 's/Jinja2>=2.3/Jinja2<3.0/' setup.py",
],
'test_cmd': 'tox --current-env -epy37 -v --',
}
for k in ['2.0', '2.1', '2.2', '2.3', '2.4']
}
)
SPHINX_CONFIG.update(
{
k: {
'conda_env': 'sphinx_30',
'install': 'python -m pip install -e .[test]',
'pre_install': [
"sed -i 's/pytest/pytest -rA/' tox.ini",
"sed -i 's/Jinja2>=2.3/Jinja2<3.0/' setup.py",
"sed -i 's/sphinxcontrib-applehelp/sphinxcontrib-applehelp<=1.0.7/' setup.py",
"sed -i 's/sphinxcontrib-devhelp/sphinxcontrib-devhelp<=1.0.5/' setup.py",
"sed -i 's/sphinxcontrib-qthelp/sphinxcontrib-qthelp<=1.0.6/' setup.py",
"sed -i 's/alabaster>=0.7,<0.8/alabaster>=0.7,<0.7.12/' setup.py",
"sed -i \"s/'packaging',/'packaging', 'markupsafe<=2.0.1',/\" setup.py",
"sed -i 's/sphinxcontrib-htmlhelp/sphinxcontrib-htmlhelp<=2.0.4/' setup.py",
"sed -i 's/sphinxcontrib-serializinghtml/sphinxcontrib-serializinghtml<=1.1.9/' setup.py",
],
'test_cmd': 'tox --current-env -epy37 -v --',
}
for k in ['3.0', '3.1', '3.2', '3.3', '3.4', '3.5', '4.0']
}
)
SPHINX_CONFIG.update(
{
k: {
'conda_env': 'sphinx_30',
'install': 'python -m pip install -e .[test]',
'pre_install': [
"sed -i 's/pytest/pytest -rA/' tox.ini",
"sed -i 's/Jinja2>=2.3/Jinja2<3.0/' setup.py",
"sed -i 's/sphinxcontrib-applehelp/sphinxcontrib-applehelp<=1.0.7/' setup.py",
"sed -i 's/sphinxcontrib-devhelp/sphinxcontrib-devhelp<=1.0.5/' setup.py",
"sed -i 's/sphinxcontrib-qthelp/sphinxcontrib-qthelp<=1.0.6/' setup.py",
"sed -i 's/alabaster>=0.7,<0.8/alabaster>=0.7,<0.7.12/' setup.py",
"sed -i \"s/'packaging',/'packaging', 'markupsafe<=2.0.1',/\" setup.py",
(
"grep -q 'sphinxcontrib-htmlhelp>=2.0.0' setup.py && "
"sed -i 's/sphinxcontrib-htmlhelp>=2.0.0/sphinxcontrib-htmlhelp>=2.0.0,<=2.0.4/' setup.py || "
"sed -i 's/sphinxcontrib-htmlhelp/sphinxcontrib-htmlhelp<=2.0.4/' setup.py"
),
(
"grep -q 'sphinxcontrib-serializinghtml>=1.1.5' setup.py && "
"sed -i 's/sphinxcontrib-serializinghtml>=1.1.5/sphinxcontrib-serializinghtml>=1.1.5,<=1.1.9/' setup.py || "
"sed -i 's/sphinxcontrib-serializinghtml/sphinxcontrib-serializinghtml<=1.1.9/' setup.py"
),
],
'test_cmd': 'tox --current-env -epy37 -v --',
}
for k in ['4.1']
}
)
SPHINX_CONFIG.update(
{
k: {
'conda_env': 'sphinx_30',
'install': 'python -m pip install -e .[test]',
'pre_install': [
"sed -i 's/pytest/pytest -rA/' tox.ini",
"sed -i 's/Jinja2>=2.3/Jinja2<3.0/' setup.py",
"sed -i 's/sphinxcontrib-applehelp/sphinxcontrib-applehelp<=1.0.7/' setup.py",
"sed -i 's/sphinxcontrib-devhelp/sphinxcontrib-devhelp<=1.0.5/' setup.py",
"sed -i 's/sphinxcontrib-qthelp/sphinxcontrib-qthelp<=1.0.6/' setup.py",
"sed -i 's/alabaster>=0.7,<0.8/alabaster>=0.7,<0.7.12/' setup.py",
"sed -i \"s/'packaging',/'packaging', 'markupsafe<=2.0.1',/\" setup.py",
"sed -i 's/sphinxcontrib-htmlhelp>=2.0.0/sphinxcontrib-htmlhelp>=2.0.0,<=2.0.4/' setup.py",
"sed -i 's/sphinxcontrib-serializinghtml>=1.1.5/sphinxcontrib-serializinghtml>=1.1.5,<=1.1.9/' setup.py",
],
'test_cmd': 'tox --current-env -epy37 -v --',
}
for k in ['4.2', '4.3', '4.4']
}
)
SPHINX_CONFIG.update(
{
k: {
'conda_env': 'sphinx_30',
'install': 'python -m pip install -e .[test]',
'pre_install': [
"sed -i 's/pytest/pytest -rA/' tox.ini",
],
'test_cmd': 'tox --current-env -epy37 -v --',
}
for k in ['4.5', '5.0', '5.1', '5.2']
}
)
SPHINX_CONFIG.update(
{
k: {
'conda_env': 'sphinx_60',
'install': 'python -m pip install -e .[test]',
'pre_install': [
"sed -i 's/pytest/pytest -rA/' tox.ini",
],
'test_cmd': 'tox --current-env -epy39 -v --',
}
for k in ['6.0', '6.2', '7.0', '7.1']
}
)
SPHINX_CONFIG.update(
{
k: {
'conda_env': 'sphinx_72',
'install': 'python -m pip install -e .[test]',
'pre_install': [
"sed -i 's/pytest/pytest -rA/' tox.ini",
'apt-get update && apt-get install -y graphviz',
],
'test_cmd': 'tox --current-env -epy39 -v --',
}
for k in ['7.2', '7.3', '7.4']
}
)
SPHINX_CONFIG.update(
{
k: {
'conda_env': 'sphinx_80',
'install': 'python -m pip install -e .[test]',
'pre_install': [
"sed -i 's/pytest/pytest -rA/' tox.ini",
],
'test_cmd': 'tox --current-env -epy310 -v --',
}
for k in ['8.0', '8.1']
}
)
SKLEARN_CONFIG = {}
SKLEARN_CONFIG.update(
{
k: {
'conda_env': 'skl_020',
'install': 'pip install -v --no-use-pep517 --no-build-isolation -e .',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['0.20', '0.21', '0.22']
}
)
SKLEARN_CONFIG.update(
{
k: {
'conda_env': 'skl_100',
'install': 'pip install -v --no-use-pep517 --no-build-isolation -e .',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['0.23', '0.24', '1.00', '1.01', '1.02']
}
)
SKLEARN_CONFIG.update(
{
k: {
'conda_env': 'skl_104',
'install': 'pip install -v --no-use-pep517 --no-build-isolation -e .',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['1.03', '1.04', '1.05']
}
)
SEABORN_CONFIG = {}
SEABORN_CONFIG.update(
{
k: {
'conda_env': 'seaborn_010',
'install': 'pip install -e .[dev]',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['0.3', '0.4', '0.5', '0.6', '0.11', '0.12', '0.13', '0.14']
}
)
XARRAY_CONFIG = {}
XARRAY_CONFIG.update(
{
k: {
'conda_env': 'xarray_0014',
'install': 'pip install -e .',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['0014', '0015', '0016']
}
)
XARRAY_CONFIG.update(
{
k: {
'conda_env': 'xarray_0017',
'install': 'pip install -e .',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['0017', '0018', '0019', '0020', '0021']
}
)
XARRAY_CONFIG.update(
{
k: {
'conda_env': 'xarray_2203',
'install': 'pip install -e .',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['2203', '2206', '2209', '2210', '2211', '2212']
}
)
XARRAY_CONFIG.update(
{
k: {
'conda_env': 'xarray_2303',
'install': 'pip install -e .',
'test_cmd': 'pytest --color=no -rA',
}
for k in [
'2303',
'2304',
'2305',
'2306',
'2308',
'2309',
'2310',
'2311',
'2312',
]
}
)
XARRAY_CONFIG.update(
{
k: {
'conda_env': 'xarray_2401',
'install': 'pip install -e .',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['2401', '2402', '2403', '2405', '2407', '2409', '2410', '2411']
}
)
SKLEARN_CONFIG = {}
SKLEARN_CONFIG.update(
{
k: {
'conda_env': 'skl_020',
'install': 'pip install -v --no-use-pep517 --no-build-isolation -e .',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['0.20', '0.21', '0.22']
}
)
SKLEARN_CONFIG.update(
{
k: {
'conda_env': 'skl_100',
'install': 'pip install -v --no-use-pep517 --no-build-isolation -e .',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['0.23', '0.24', '1.00', '1.01', '1.02']
}
)
SKLEARN_CONFIG.update(
{
k: {
'conda_env': 'skl_104',
'install': 'pip install -v --no-use-pep517 --no-build-isolation -e .',
'test_cmd': 'pytest --color=no -rA',
}
for k in ['1.03', '1.04', '1.05', '1.06', '1.07']
}
)
MAP_REPO_TO_CONFIG = {
'pydata/xarray': XARRAY_CONFIG,
'mwaskom/seaborn': SEABORN_CONFIG,
'scikit-learn/scikit-learn': SKLEARN_CONFIG,
'sphinx-doc/sphinx': SPHINX_CONFIG,
'django/django': DJANGO_CONFIG,
'astropy/astropy': ASTROPY_CONFIG,
'pylint-dev/pylint': PYLINT_CONFIG,
'pytest-dev/pytest': PYTEST_CONFIG,
'psf/requests': REQUESTS_CONFIG,
'sympy/sympy': SYMPY_CONFIG,
'matplotlib/matplotlib': MATPLOTLIB_CONFIG,
}

View File

@@ -1,65 +0,0 @@
<uploaded_files>
/workspace/{{ workspace_dir_name }}
</uploaded_files>
I've uploaded a python code repository in the directory {{ workspace_dir_name }}. Consider the following issue description:
<doc_change>
{{ instance.problem_statement }}
</doc_change>
Can you help me add the new features to the repository based on the changes in the <doc_change>?
I've already taken care of all changes to any of the test files described in the <doc_change>. This means you DON'T have to modify the testing logic or any of the tests in any way!
Also the development Python environment is already set up for you (i.e., all dependencies already installed), so you don't need to install other packages.
Your task is to make the minimal changes to non-test files in the /workspace/{{ workspace_dir_name }} directory to implement the new features required by the documentation updates.
Follow these phases to resolve the issue:
Phase 1. READING: read the requirements and reword it in clearer terms
1.1 If there are code or config snippets. Express in words any best practices or conventions in them.
1.2 Hightlight method names, variables, file names, stack traces, and technical details, particularly those related to new features.
1.3 Explain the new feature requirements in clear terms.
1.4 Specify functional scope and expected behavior of new features.
1.5 Hightlight any best practices to take into account when developing and testing the new feature.
Phase 2. RUNNING: install and run the functionality in the repository to validate the new features
2.1 Follow the readme.
2.2 Install the environment and anything needed.
2.2 Iterate and figure out how to validate the newly added features.
Phase 3. EXPLORATION: find the files related to the new features and possible implementation solutions
3.1 Use `grep` to search for relevant methods, classes, keywords and feature requirements.
3.2 Identify all files related to the new features.
3.3 Propose the methods and files to implement the new features and explain why.
3.4 From the possible file locations, select the most likely location to implement the new features.
Phase 4. TEST CREATION: before implementing any new features, create a script to validate the feature's correctness.
4.1 Look at existing test files in the repository to understand the test format/structure.
4.2 Create a minimal validation script to verify the newly added features.
4.3 Run the validation script to confirm the new features are successfully added and working as expected.
4.4 Adjust the validation script as necessary to ensure the new features fully meet the requirements.
Phase 5. FEATURE ANALYSIS: state clearly the new feature and how to implement it
5.1 State clearly what the new feature is.
5.2 State clearly where the feature should be implemented.
5.3 State clearly how the test validates the new feature.
5.4 State clearly the best practices to take into account when implementing the new feature.
5.5 State clearly how to implement the new feature.
Phase 6. FEATURE IMPLEMENTATION: edit the source code to implement your chosen solution for the new feature
6.1 Make minimal, focused changes to implement the new feature.
Phase 7. VERIFICATION: Test your new feature thoroughly.
7.1 Run your validation script to verify the new feature works as expected.
7.2 Add edge cases to your test script to ensure comprehensive coverage of the new feature.
7.3 Run existing tests related to the modified code to ensure you haven't broken anything.
Phase 8. FINAL REVIEW: Carefully re-read the feature requirements and compare your changes with the base commit {{ instance.base_commit }}
8.1 Ensure you've fully implemented all required features.
8.2 Run any tests in the repository related to:
8.2.1 The new features you are adding
8.2.2 The files you modified
8.2.3 The functions you changed
8.3 If any tests fail, revise your implementation until all tests pass and the new feature works as expected.
Be thorough in your exploration, testing, and reasoning. It's fine if your thinking process is lengthy - quality and completeness are more important than brevity.

View File

@@ -1,39 +0,0 @@
"""Mapping instance_id to resource_factor.
Different instances may have different resource requirements.
e.g., some instances may require more memory/CPU to run inference.
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__))
DEFAULT_RUNTIME_RESOURCE_FACTOR = int(
os.environ.get('DEFAULT_RUNTIME_RESOURCE_FACTOR', 1)
)
# dataset to resource mapping
_global_resource_mapping: dict[str, dict[str, float]] = {}
def get_resource_mapping(dataset_name: str) -> dict[str, float]:
if dataset_name not in _global_resource_mapping:
file_path = os.path.join(CUR_DIR, f'{dataset_name}.json')
if not os.path.exists(file_path):
logger.info(f'Resource mapping for {dataset_name} not found.')
return None
with open(file_path, 'r') as f:
_global_resource_mapping[dataset_name] = json.load(f)
logger.debug(f'Loaded resource mapping for {dataset_name}')
return _global_resource_mapping[dataset_name]
def get_instance_resource_factor(dataset_name: str, instance_id: str) -> int:
resource_mapping = get_resource_mapping(dataset_name)
if resource_mapping is None:
return DEFAULT_RUNTIME_RESOURCE_FACTOR
return int(resource_mapping.get(instance_id, DEFAULT_RUNTIME_RESOURCE_FACTOR))

View File

@@ -1,909 +0,0 @@
import asyncio
import copy
import json
import os
import tempfile
from typing import Any, Literal
import numpy as np
import pandas as pd
import toml
from datasets import load_dataset
from jinja2 import Environment, FileSystemLoader
import openhands.agenthub
from evaluation.benchmarks.nocode_bench.binary_patch_utils import (
remove_binary_diffs,
remove_binary_files_from_git,
)
from evaluation.benchmarks.nocode_bench.consistants import MAP_REPO_TO_CONFIG
from evaluation.benchmarks.nocode_bench.resource.mapping import (
get_instance_resource_factor,
)
from evaluation.benchmarks.nocode_bench.scripts.utils.evaluation_utils import (
run_evaluation_nocode_bench,
)
from evaluation.utils.shared import (
EvalException,
EvalMetadata,
EvalOutput,
assert_and_raise,
codeact_user_response,
get_default_sandbox_config_for_eval,
get_metrics,
is_fatal_evaluation_error,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
update_llm_config_for_completions_logging,
)
from openhands.controller.state.state import State
from openhands.core.config import (
AgentConfig,
OpenHandsConfig,
get_evaluation_parser,
get_llm_config_arg,
)
from openhands.core.config.condenser_config import NoOpCondenserConfig
from openhands.core.config.utils import get_condenser_config_arg
from openhands.core.logger import openhands_logger as logger
from openhands.core.main import create_runtime, run_controller
from openhands.critic import AgentFinishedCritic
from openhands.events.action import CmdRunAction, FileReadAction, MessageAction
from openhands.events.observation import (
CmdOutputObservation,
ErrorObservation,
FileReadObservation,
)
from openhands.events.serialization.event import event_from_dict, event_to_dict
from openhands.runtime.base import Runtime
from openhands.utils.async_utils import call_async_from_sync
from openhands.utils.shutdown_listener import sleep_if_should_continue
USE_HINT_TEXT = os.environ.get('USE_HINT_TEXT', 'false').lower() == 'true'
RUN_WITH_BROWSING = os.environ.get('RUN_WITH_BROWSING', 'false').lower() == 'true'
ENABLE_LLM_EDITOR = os.environ.get('ENABLE_LLM_EDITOR', 'false').lower() == 'true'
BenchMode = Literal['swe', 'swt', 'swt-ci']
# Global variable to track dataset type
DATASET_TYPE = 'nc_bench'
def set_dataset_type(dataset_name: str) -> str:
"""Set dataset type based on dataset name."""
global DATASET_TYPE
DATASET_TYPE = 'nc_bench'
logger.info(f'Dataset type set to: {DATASET_TYPE}')
AGENT_CLS_TO_FAKE_USER_RESPONSE_FN = {
'CodeActAgent': codeact_user_response,
}
def _get_swebench_workspace_dir_name(instance: pd.Series) -> str:
return f'{instance.repo.split("/")[-1]}'
def get_instruction(instance: pd.Series, metadata: EvalMetadata) -> MessageAction:
workspace_dir_name = _get_swebench_workspace_dir_name(instance)
metadata.details['mode']
# Determine the template file based on mode and LLM
template_name = 'nc.j2'
# Set up Jinja2 environment
# Assuming templates are in 'evaluation/benchmarks/swe_bench/prompts' relative to this script
prompts_dir = os.path.join(os.path.dirname(__file__), 'prompts')
env = Environment(loader=FileSystemLoader(prompts_dir))
template = env.get_template(template_name)
# Prepare context for rendering
context = {
'instance': instance,
'workspace_dir_name': workspace_dir_name,
'metadata': metadata, # Pass metadata if needed in templates
}
context['test_instructions'] = '' # Ensure it's defined for other modes
# Render the instruction
instruction = template.render(context)
if RUN_WITH_BROWSING:
instruction += (
'<IMPORTANT!>\nYou SHOULD NEVER attempt to browse the web. </IMPORTANT!>\n'
)
if 'image_assets' in instance:
assets = json.loads(instance['image_assets'])
assert 'problem_statement' in assets, (
'problem_statement is required in image_assets'
)
image_urls = assets['problem_statement']
return MessageAction(content=instruction, image_urls=image_urls)
return MessageAction(content=instruction)
DEFAULT_DOCKER_IMAGE_PREFIX = os.environ.get(
'EVAL_DOCKER_IMAGE_PREFIX', 'docker.io/xingyaoww/'
)
logger.info(f'Default docker image prefix: {DEFAULT_DOCKER_IMAGE_PREFIX}')
def get_instance_docker_image(
instance_id: str,
swebench_official_image: bool = False,
) -> str:
if swebench_official_image:
# Official NoCode-Bench image
image_name = f'ncbench_{instance_id}:latest'.lower()
logger.debug(f'Using official NoCode-Bench image: {image_name}')
return image_name
else:
raise
def get_config(
instance: pd.Series,
metadata: EvalMetadata,
) -> OpenHandsConfig:
# We use a different instance image for the each instance of NoCode-bench eval
use_swebench_official_image = True
base_container_image = get_instance_docker_image(
instance['instance_id'],
swebench_official_image=use_swebench_official_image,
)
logger.info(
f'Using instance container image: {base_container_image}. '
f'Please make sure this image exists. '
f'Submit an issue on https://github.com/All-Hands-AI/OpenHands if you run into any issues.'
)
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 = OpenHandsConfig(
default_agent=metadata.agent_class,
run_as_openhands=False,
max_iterations=metadata.max_iterations,
runtime=os.environ.get('RUNTIME', 'docker'),
sandbox=sandbox_config,
# do not mount workspace
workspace_base=None,
workspace_mount_path=None,
)
config.set_llm_config(
update_llm_config_for_completions_logging(
metadata.llm_config, metadata.eval_output_dir, instance['instance_id']
)
)
# get 'draft_editor' config if exists
config.set_llm_config(get_llm_config_arg('draft_editor'), 'draft_editor')
agent_config = AgentConfig(
enable_jupyter=False,
enable_browsing=RUN_WITH_BROWSING,
enable_llm_editor=ENABLE_LLM_EDITOR,
enable_mcp=False,
condenser=metadata.condenser_config,
enable_prompt_extensions=False,
)
config.set_agent_config(agent_config)
return config
def make_serializable(obj):
if isinstance(obj, pd.Series):
obj = obj.to_dict()
if isinstance(obj, dict):
return {k: make_serializable(v) for k, v in obj.items()}
elif isinstance(obj, list):
return [make_serializable(v) for v in obj]
elif isinstance(obj, tuple):
return tuple(make_serializable(v) for v in obj)
elif isinstance(obj, np.ndarray):
return obj.tolist()
elif isinstance(obj, pd.Timestamp):
return str(obj)
else:
return obj
def initialize_runtime(
runtime: Runtime,
instance: pd.Series, # this argument is not required
metadata: EvalMetadata,
):
"""Initialize the runtime for the agent.
This function is called before the runtime is used to run the agent.
"""
logger.info('-' * 30)
logger.info('BEGIN Runtime Initialization Fn')
logger.info('-' * 30)
workspace_dir_name = _get_swebench_workspace_dir_name(instance)
obs: CmdOutputObservation
# Set instance id and git configuration
action = CmdRunAction(
command=f"""echo 'export SWE_INSTANCE_ID={instance['instance_id']}' >> ~/.bashrc && echo 'export PIP_CACHE_DIR=~/.cache/pip' >> ~/.bashrc && echo "alias git='git --no-pager'" >> ~/.bashrc && git config --global core.pager "" && git config --global diff.binary false"""
)
action.set_hard_timeout(600)
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
assert_and_raise(
obs.exit_code == 0,
f'Failed to export SWE_INSTANCE_ID and configure git: {str(obs)}',
)
action = CmdRunAction(command="""export USER=$(whoami); echo USER=${USER} """)
action.set_hard_timeout(600)
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
assert_and_raise(obs.exit_code == 0, f'Failed to export USER: {str(obs)}')
# inject the init script
script_dir = os.path.dirname(__file__)
# inject the instance info
action = CmdRunAction(command='mkdir -p /swe_util/eval_data/instances')
action.set_hard_timeout(600)
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
assert_and_raise(
obs.exit_code == 0,
f'Failed to create /swe_util/eval_data/instances: {str(obs)}',
)
swe_instance_json_name = 'swe-bench-instance.json'
with tempfile.TemporaryDirectory() as temp_dir:
# Construct the full path for the desired file name within the temporary directory
temp_file_path = os.path.join(temp_dir, swe_instance_json_name)
# Write to the file with the desired name within the temporary directory
with open(temp_file_path, 'w') as f:
if not isinstance(instance, dict):
instance_dict = make_serializable(instance)
else:
instance_dict = dict(instance)
if DATASET_TYPE == 'nc_bench':
config = MAP_REPO_TO_CONFIG.get(instance['repo'], {}).get(
instance['version'], []
)
docker_conda_env_name = config['conda_env']
instance_dict['conda_env'] = docker_conda_env_name
json.dump([instance_dict], f)
# Copy the file to the desired location
runtime.copy_to(temp_file_path, '/swe_util/eval_data/instances/')
# inject the instance swe entry
entry_script_path = 'instance_nc_entry.sh'
runtime.copy_to(
str(os.path.join(script_dir, f'scripts/setup/{entry_script_path}')),
'/swe_util/',
)
action = CmdRunAction(command='cat ~/.bashrc')
action.set_hard_timeout(600)
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
assert_and_raise(obs.exit_code == 0, f'Failed to cat ~/.bashrc: {str(obs)}')
action = CmdRunAction(command='source ~/.bashrc')
action.set_hard_timeout(600)
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
if isinstance(obs, ErrorObservation):
logger.error(f'Failed to source ~/.bashrc: {str(obs)}')
assert_and_raise(obs.exit_code == 0, f'Failed to source ~/.bashrc: {str(obs)}')
action = CmdRunAction(command=f'source /swe_util/{entry_script_path}')
action.set_hard_timeout(600)
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
assert_and_raise(
obs.exit_code == 0,
f'Failed to source /swe_util/{entry_script_path}: {str(obs)}',
)
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(
obs.exit_code == 0,
f'Failed to cd to /workspace/{workspace_dir_name}: {str(obs)}',
)
action = CmdRunAction(command='git reset --hard')
action.set_hard_timeout(600)
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
assert_and_raise(obs.exit_code == 0, f'Failed to git reset --hard: {str(obs)}')
action = CmdRunAction(
command='for remote_name in $(git remote); do git remote remove "${remote_name}"; done'
)
action.set_hard_timeout(600)
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
assert_and_raise(obs.exit_code == 0, f'Failed to remove git remotes: {str(obs)}')
if DATASET_TYPE != 'Multimodal' and DATASET_TYPE != 'SWE-bench-Live':
# Only for non-multimodal datasets, we need to activate the testbed environment for Python
# SWE-Bench multimodal datasets and SWE-bench-Live are not using the testbed environment
action = CmdRunAction(command='which python')
action.set_hard_timeout(600)
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
assert_and_raise(
obs.exit_code == 0,
f'Expected to find python interpreter, but got: {str(obs)}',
)
logger.info('-' * 30)
logger.info('END Runtime Initialization Fn')
logger.info('-' * 30)
def complete_runtime(
runtime: Runtime,
instance: pd.Series, # this argument is not required, but it is used to get the workspace_dir_name
) -> 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('-' * 30)
logger.info('BEGIN Runtime Completion Fn')
logger.info('-' * 30)
obs: CmdOutputObservation
workspace_dir_name = _get_swebench_workspace_dir_name(instance)
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'})
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'})
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 ctrl+z it...')
action = CmdRunAction(command='C-z')
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)}',
)
action = CmdRunAction(command='git config --global core.pager ""')
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 git config --global core.pager "": {str(obs)}',
)
# First check for any git repositories in subdirectories
action = CmdRunAction(command='find . -type d -name .git -not -path "./.git"')
action.set_hard_timeout(600)
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
assert_and_raise(
isinstance(obs, CmdOutputObservation) and obs.exit_code == 0,
f'Failed to find git repositories: {str(obs)}',
)
git_dirs = [p for p in obs.content.strip().split('\n') if p]
if git_dirs:
# Remove all .git directories in subdirectories
for git_dir in git_dirs:
action = CmdRunAction(command=f'rm -rf "{git_dir}"')
action.set_hard_timeout(600)
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
assert_and_raise(
isinstance(obs, CmdOutputObservation) and obs.exit_code == 0,
f'Failed to remove git directory {git_dir}: {str(obs)}',
)
# add all files
action = CmdRunAction(command='git add -A')
action.set_hard_timeout(600)
logger.info(action, extra={'msg_type': 'ACTION'})
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 git add -A: {str(obs)}',
)
# Remove binary files from git staging
action = CmdRunAction(command=remove_binary_files_from_git())
action.set_hard_timeout(600)
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
assert_and_raise(
isinstance(obs, CmdOutputObservation) and obs.exit_code == 0,
f'Failed to remove binary files: {str(obs)}',
)
n_retries = 0
git_patch = None
while n_retries < 5:
action = CmdRunAction(
command=f'git diff --no-color --cached {instance["base_commit"]} > patch.diff'
)
action.set_hard_timeout(max(300 + 100 * n_retries, 600))
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
n_retries += 1
if isinstance(obs, CmdOutputObservation):
if obs.exit_code == 0:
# Read the patch file
action = FileReadAction(path='patch.diff')
action.set_hard_timeout(max(300 + 100 * n_retries, 600))
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
if isinstance(obs, FileReadObservation):
git_patch = obs.content
break
elif isinstance(obs, ErrorObservation):
# Fall back to cat "patch.diff" to get the patch
assert 'File could not be decoded as utf-8' in obs.content
action = CmdRunAction(command='cat patch.diff')
action.set_hard_timeout(max(300 + 100 * n_retries, 600))
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
assert isinstance(obs, CmdOutputObservation) and obs.exit_code == 0
logger.info(obs, extra={'msg_type': 'OBSERVATION'})
git_patch = obs.content
break
else:
assert_and_raise(False, f'Unexpected observation type: {str(obs)}')
else:
logger.info('Failed to get git diff, retrying...')
sleep_if_should_continue(10)
elif isinstance(obs, ErrorObservation):
logger.error(f'Error occurred: {obs.content}. Retrying...')
sleep_if_should_continue(10)
else:
assert_and_raise(False, f'Unexpected observation type: {str(obs)}')
assert_and_raise(git_patch is not None, 'Failed to get git diff (None)')
# Remove binary diffs from the patch
git_patch = remove_binary_diffs(git_patch)
logger.info('-' * 30)
logger.info('END Runtime Completion Fn')
logger.info('-' * 30)
return {'git_patch': git_patch}
def process_instance(
instance: pd.Series,
metadata: EvalMetadata,
reset_logger: bool = True,
runtime_failure_count: int = 0,
) -> EvalOutput:
config = get_config(instance, metadata)
# 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, instance.instance_id, log_dir)
else:
logger.info(f'Starting evaluation for instance {instance.instance_id}.')
# Increase resource_factor with increasing attempt_id
if runtime_failure_count > 0:
config.sandbox.remote_runtime_resource_factor = min(
config.sandbox.remote_runtime_resource_factor * (2**runtime_failure_count),
8,
)
logger.warning(
f'This is the {runtime_failure_count + 1}th attempt for instance {instance.instance_id}, setting resource factor to {config.sandbox.remote_runtime_resource_factor}'
)
metadata = copy.deepcopy(metadata)
metadata.details['runtime_failure_count'] = runtime_failure_count
metadata.details['remote_runtime_resource_factor'] = (
config.sandbox.remote_runtime_resource_factor
)
runtime = create_runtime(config)
call_async_from_sync(runtime.connect)
try:
initialize_runtime(runtime, instance, metadata)
message_action = get_instruction(instance, metadata)
# Here's how you can run the agent (similar to the `main` function) and get the final task state
state: State | None = asyncio.run(
run_controller(
config=config,
initial_user_action=message_action,
runtime=runtime,
fake_user_response_fn=AGENT_CLS_TO_FAKE_USER_RESPONSE_FN[
metadata.agent_class
],
)
)
# if fatal error, throw EvalError to trigger re-run
if is_fatal_evaluation_error(state.last_error):
raise EvalException('Fatal error detected: ' + state.last_error)
# ======= THIS IS SWE-Bench specific =======
# Get git patch
if DATASET_TYPE == 'SWE-bench-Live':
from evaluation.benchmarks.swe_bench.live_utils import (
complete_runtime as complete_runtime_fn,
)
else:
complete_runtime_fn = complete_runtime
return_val = complete_runtime_fn(runtime, instance)
git_patch = return_val['git_patch']
logger.info(
f'Got git diff for instance {instance.instance_id}:\n--------\n{git_patch}\n--------'
)
finally:
runtime.close()
# ==========================================
# ======= Attempt to evaluate the agent's edits =======
# we use eval_infer.sh to evaluate the agent's edits, not here
# because the agent may alter the environment / testcases
test_result = {
'git_patch': git_patch,
}
# 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.')
# NOTE: this is NO LONGER the event stream, but an agent history that includes delegate agent's events
histories = [event_to_dict(event) for event in state.history]
metrics = get_metrics(state)
# Save the output
instruction = message_action.content
if message_action.image_urls:
instruction += (
'\n\n<image_urls>' + '\n'.join(message_action.image_urls) + '</image_urls>'
)
output = EvalOutput(
instance_id=instance.instance_id,
instruction=instruction,
instance=instance.to_dict(), # SWE Bench specific
test_result=test_result,
metadata=metadata,
history=histories,
metrics=metrics,
error=state.last_error if state and state.last_error else None,
)
return output
def filter_dataset(dataset: pd.DataFrame, filter_column: str) -> pd.DataFrame:
file_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'config.toml')
if os.path.exists(file_path):
with open(file_path, 'r') as file:
data = toml.load(file)
if 'selected_ids' in data:
selected_ids = data['selected_ids']
logger.info(
f'Filtering {len(selected_ids)} tasks from "selected_ids"...'
)
subset = dataset[dataset[filter_column].isin(selected_ids)]
logger.info(f'Retained {subset.shape[0]} tasks after filtering')
return subset
if 'selected_repos' in data:
# repos for the swe-bench instances:
# ['astropy/astropy', 'django/django', 'matplotlib/matplotlib', 'mwaskom/seaborn', 'pallets/flask', 'psf/requests', 'pydata/xarray', 'pylint-dev/pylint', 'pytest-dev/pytest', 'scikit-learn/scikit-learn', 'sphinx-doc/sphinx', 'sympy/sympy']
selected_repos = data['selected_repos']
if isinstance(selected_repos, str):
selected_repos = [selected_repos]
assert isinstance(selected_repos, list)
logger.info(
f'Filtering {selected_repos} tasks from "selected_repos"...'
)
subset = dataset[dataset['repo'].isin(selected_repos)]
logger.info(f'Retained {subset.shape[0]} tasks after filtering')
return subset
skip_ids = os.environ.get('SKIP_IDS', '').split(',')
if len(skip_ids) > 0:
logger.info(f'Filtering {len(skip_ids)} tasks from "SKIP_IDS"...')
return dataset[~dataset[filter_column].isin(skip_ids)]
return dataset
if __name__ == '__main__':
parser = get_evaluation_parser()
parser.add_argument(
'--dataset',
type=str,
default='NoCode-bench/NoCode-bench_Verified',
help='data set to evaluate on, either full-test or lite-test',
)
parser.add_argument(
'--split',
type=str,
default='test',
help='split to evaluate on',
)
parser.add_argument(
'--mode',
type=str,
default='swe',
choices=['swe', 'swt', 'swt-ci'],
help="mode to run the evaluation, either 'swe', 'swt', or 'swt-ci'",
)
args, _ = parser.parse_known_args()
# NOTE: It is preferable to load datasets from huggingface datasets and perform post-processing
# so we don't need to manage file uploading to OpenHands's repo
dataset = load_dataset(args.dataset, args.split)
# Set the global dataset type based on dataset name
set_dataset_type(args.dataset)
swe_bench_tests = filter_dataset(dataset.to_pandas(), 'instance_id')
logger.info(
f'Loaded dataset {args.dataset} with split {args.split}: {len(swe_bench_tests)} tasks'
)
llm_config = None
if args.llm_config:
llm_config = get_llm_config_arg(args.llm_config)
llm_config.log_completions = True
# modify_params must be False for evaluation purpose, for reproducibility and accurancy of results
llm_config.modify_params = False
if llm_config is None:
raise ValueError(f'Could not find LLM config: --llm_config {args.llm_config}')
# Get condenser config from environment variable
condenser_name = os.environ.get('EVAL_CONDENSER')
if condenser_name:
condenser_config = get_condenser_config_arg(condenser_name)
if condenser_config is None:
raise ValueError(
f'Could not find Condenser config: EVAL_CONDENSER={condenser_name}'
)
else:
# If no specific condenser config is provided via env var, default to NoOpCondenser
condenser_config = NoOpCondenserConfig()
logger.debug(
'No Condenser config provided via EVAL_CONDENSER, using NoOpCondenser.'
)
details = {'mode': args.mode}
_agent_cls = openhands.agenthub.Agent.get_cls(args.agent_cls)
dataset_descrption = (
args.dataset.replace('/', '__') + '-' + args.split.replace('/', '__')
)
metadata = make_metadata(
llm_config,
dataset_descrption,
args.agent_cls,
args.max_iterations,
args.eval_note,
args.eval_output_dir,
details=details,
condenser_config=condenser_config,
)
output_file = os.path.join(metadata.eval_output_dir, 'output.jsonl')
print(f'### OUTPUT FILE: {output_file} ###')
# Run evaluation in iterative mode:
# If a rollout fails to output AgentFinishAction, we will try again until it succeeds OR total 3 attempts have been made.
ITERATIVE_EVAL_MODE = (
os.environ.get('ITERATIVE_EVAL_MODE', 'false').lower() == 'true'
)
ITERATIVE_EVAL_MODE_MAX_ATTEMPTS = int(
os.environ.get('ITERATIVE_EVAL_MODE_MAX_ATTEMPTS', '3')
)
if not ITERATIVE_EVAL_MODE:
# load the dataset
instances = prepare_dataset(swe_bench_tests, output_file, args.eval_n_limit)
if len(instances) > 0 and not isinstance(
instances['PASS2PASS'][instances['PASS2PASS'].index[0]], str
):
for col in ['PASS2PASS', 'FAIL2PASS']:
instances[col] = instances[col].apply(lambda x: str(x))
run_evaluation_nocode_bench(
instances,
metadata,
output_file,
args.eval_num_workers,
process_instance,
timeout_seconds=8
* 60
* 60, # 8 hour PER instance should be more than enough
max_retries=5,
)
else:
critic = AgentFinishedCritic()
def get_cur_output_file_path(attempt: int) -> str:
return (
f'{output_file.removesuffix(".jsonl")}.critic_attempt_{attempt}.jsonl'
)
eval_ids = None
for attempt in range(1, ITERATIVE_EVAL_MODE_MAX_ATTEMPTS + 1):
cur_output_file = get_cur_output_file_path(attempt)
logger.info(
f'Running evaluation with critic {critic.__class__.__name__} for attempt {attempt} of {ITERATIVE_EVAL_MODE_MAX_ATTEMPTS}.'
)
# For deterministic eval, we set temperature to 0.1 for (>1) attempt
# so hopefully we get slightly different results
if attempt > 1 and metadata.llm_config.temperature == 0:
logger.info(
f'Detected temperature is 0 for (>1) attempt {attempt}. Setting temperature to 0.1...'
)
metadata.llm_config.temperature = 0.1
# Load instances - at first attempt, we evaluate all instances
# On subsequent attempts, we only evaluate the instances that failed the previous attempt determined by critic
instances = prepare_dataset(
swe_bench_tests, cur_output_file, args.eval_n_limit, eval_ids=eval_ids
)
if len(instances) > 0 and not isinstance(
instances['PASS2PASS'][instances['PASS2PASS'].index[0]], str
):
for col in ['PASS2PASS', 'FAIL2PASS']:
instances[col] = instances[col].apply(lambda x: str(x))
# Run evaluation - but save them to cur_output_file
logger.info(
f'Evaluating {len(instances)} instances for attempt {attempt}...'
)
run_evaluation_nocode_bench(
instances,
metadata,
cur_output_file,
args.eval_num_workers,
process_instance,
timeout_seconds=8
* 60
* 60, # 8 hour PER instance should be more than enough
max_retries=5,
)
# When eval is done, we update eval_ids to the instances that failed the current attempt
instances_failed = []
logger.info(
f'Use critic {critic.__class__.__name__} to check {len(instances)} instances for attempt {attempt}...'
)
with open(cur_output_file, 'r') as f:
for line in f:
instance = json.loads(line)
try:
history = [
event_from_dict(event) for event in instance['history']
]
critic_result = critic.evaluate(
history, instance['test_result'].get('git_patch', '')
)
if not critic_result.success:
instances_failed.append(instance['instance_id'])
except Exception as e:
logger.error(
f'Error loading history for instance {instance["instance_id"]}: {e}'
)
instances_failed.append(instance['instance_id'])
logger.info(
f'{len(instances_failed)} instances failed the current attempt {attempt}: {instances_failed}'
)
eval_ids = instances_failed
# If no instances failed, we break
if len(instances_failed) == 0:
break
# Then we should aggregate the results from all attempts into the original output file
# and remove the intermediate files
logger.info(
'Aggregating results from all attempts into the original output file...'
)
fout = open(output_file, 'w')
added_instance_ids = set()
for attempt in reversed(range(1, ITERATIVE_EVAL_MODE_MAX_ATTEMPTS + 1)):
cur_output_file = get_cur_output_file_path(attempt)
if not os.path.exists(cur_output_file):
logger.warning(
f'Intermediate output file {cur_output_file} does not exist. Skipping...'
)
continue
with open(cur_output_file, 'r') as f:
for line in f:
instance = json.loads(line)
# Also make sure git_patch is not empty - otherwise we fall back to previous attempt (empty patch is worse than anything else)
if (
instance['instance_id'] not in added_instance_ids
and instance['test_result'].get('git_patch', '').strip()
):
fout.write(line)
added_instance_ids.add(instance['instance_id'])
logger.info(
f'Aggregated instances from {cur_output_file}. Total instances added so far: {len(added_instance_ids)}'
)
fout.close()
logger.info(
f'Done! Total {len(added_instance_ids)} instances added to {output_file}'
)

View File

@@ -1,33 +0,0 @@
import argparse
import json
def main(output_jsonl: str):
with open(output_jsonl, 'r') as f:
for line in f:
try:
output = json.loads(line)
pred = {
'instance_id': output['instance_id'],
'model_name_or_path': output['metadata']['llm_config']['model'],
'model_patch': output['test_result']['git_patch'],
}
except Exception as e:
print(
f'Error while reading output of instance {output["instance_id"]}: {e}'
)
print(json.dumps(pred))
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument(
'--output_jsonl',
type=str,
required=True,
help='Path to the prediction file (.../outputs.jsonl)',
)
args = parser.parse_args()
main(args.output_jsonl)

View File

@@ -1,104 +0,0 @@
import argparse
import pandas as pd
from openhands.core.logger import openhands_logger as logger
def verify_instance_costs(row: pd.Series) -> float:
"""
Verifies that the accumulated_cost matches the sum of individual costs in metrics.
Also checks for duplicate consecutive costs which might indicate buggy counting.
If the consecutive costs are identical, the file is affected by this bug:
https://github.com/All-Hands-AI/OpenHands/issues/5383
Args:
row: DataFrame row containing instance data with metrics
Returns:
float: The verified total cost for this instance (corrected if needed)
"""
try:
metrics = row.get('metrics')
if not metrics:
logger.warning(f'Instance {row["instance_id"]}: No metrics found')
return 0.0
accumulated = metrics.get('accumulated_cost')
costs = metrics.get('costs', [])
if accumulated is None:
logger.warning(
f'Instance {row["instance_id"]}: No accumulated_cost in metrics'
)
return 0.0
# Check for duplicate consecutive costs and systematic even-odd pairs
has_duplicate = False
all_pairs_match = True
# Check each even-odd pair (0-1, 2-3, etc.)
for i in range(0, len(costs) - 1, 2):
if abs(costs[i]['cost'] - costs[i + 1]['cost']) < 1e-6:
has_duplicate = True
logger.debug(
f'Instance {row["instance_id"]}: Possible buggy double-counting detected! '
f'Steps {i} and {i + 1} have identical costs: {costs[i]["cost"]:.2f}'
)
else:
all_pairs_match = False
break
# Calculate total cost, accounting for buggy double counting if detected
if len(costs) >= 2 and has_duplicate and all_pairs_match:
paired_steps_cost = sum(
cost_entry['cost']
for cost_entry in costs[: -1 if len(costs) % 2 else None]
)
real_paired_cost = paired_steps_cost / 2
unpaired_cost = costs[-1]['cost'] if len(costs) % 2 else 0
total_cost = real_paired_cost + unpaired_cost
else:
total_cost = sum(cost_entry['cost'] for cost_entry in costs)
if not abs(total_cost - accumulated) < 1e-6:
logger.warning(
f'Instance {row["instance_id"]}: Cost mismatch: '
f'accumulated: {accumulated:.2f}, sum of costs: {total_cost:.2f}, '
)
return total_cost
except Exception as e:
logger.error(
f'Error verifying costs for instance {row.get("instance_id", "UNKNOWN")}: {e}'
)
return 0.0
def main():
parser = argparse.ArgumentParser(
description='Verify costs in SWE-bench output file'
)
parser.add_argument(
'input_filepath', type=str, help='Path to the output.jsonl file'
)
args = parser.parse_args()
try:
# Load and verify the JSONL file
df = pd.read_json(args.input_filepath, lines=True)
logger.info(f'Loaded {len(df)} instances from {args.input_filepath}')
# Verify costs for each instance and sum up total
total_cost = df.apply(verify_instance_costs, axis=1).sum()
logger.info(f'Total verified cost across all instances: ${total_cost:.2f}')
except Exception as e:
logger.error(f'Failed to process file: {e}')
raise
if __name__ == '__main__':
main()

View File

@@ -1,146 +0,0 @@
#!/usr/bin/env bash
set -eo pipefail
source "evaluation/utils/version_control.sh"
MODEL_CONFIG=$1
COMMIT_HASH=$2
AGENT=$3
EVAL_LIMIT=$4
MAX_ITER=$5
NUM_WORKERS=$6
DATASET=$7
SPLIT=$8
N_RUNS=$9
MODE=${10}
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 CodeActAgent"
AGENT="CodeActAgent"
fi
if [ -z "$MAX_ITER" ]; then
echo "MAX_ITER not specified, use default 100"
MAX_ITER=100
fi
if [ -z "$RUN_WITH_BROWSING" ]; then
echo "RUN_WITH_BROWSING not specified, use default false"
RUN_WITH_BROWSING=false
fi
if [ -z "$DATASET" ]; then
echo "DATASET not specified, use default princeton-nlp/SWE-bench_Lite"
DATASET="princeton-nlp/SWE-bench_Lite"
fi
if [ -z "$SPLIT" ]; then
echo "SPLIT not specified, use default test"
SPLIT="test"
fi
if [ -z "$MODE" ]; then
MODE="swe"
echo "MODE not specified, use default $MODE"
fi
if [ -n "$EVAL_CONDENSER" ]; then
echo "Using Condenser Config: $EVAL_CONDENSER"
else
echo "No Condenser Config provided via EVAL_CONDENSER, use default (NoOpCondenser)."
fi
export RUN_WITH_BROWSING=$RUN_WITH_BROWSING
echo "RUN_WITH_BROWSING: $RUN_WITH_BROWSING"
get_openhands_version
echo "AGENT: $AGENT"
echo "OPENHANDS_VERSION: $OPENHANDS_VERSION"
echo "MODEL_CONFIG: $MODEL_CONFIG"
echo "DATASET: $DATASET"
echo "SPLIT: $SPLIT"
echo "MAX_ITER: $MAX_ITER"
echo "NUM_WORKERS: $NUM_WORKERS"
echo "COMMIT_HASH: $COMMIT_HASH"
echo "MODE: $MODE"
echo "EVAL_CONDENSER: $EVAL_CONDENSER"
# Default to NOT use Hint
if [ -z "$USE_HINT_TEXT" ]; then
export USE_HINT_TEXT=false
fi
echo "USE_HINT_TEXT: $USE_HINT_TEXT"
EVAL_NOTE="$OPENHANDS_VERSION"
# if not using Hint, add -no-hint to the eval note
if [ "$USE_HINT_TEXT" = false ]; then
EVAL_NOTE="$EVAL_NOTE-no-hint"
fi
if [ "$RUN_WITH_BROWSING" = true ]; then
EVAL_NOTE="$EVAL_NOTE-with-browsing"
fi
if [ -n "$EXP_NAME" ]; then
EVAL_NOTE="$EVAL_NOTE-$EXP_NAME"
fi
# if mode != swe, add mode to the eval note
if [ "$MODE" != "swe" ]; then
EVAL_NOTE="${EVAL_NOTE}-${MODE}"
fi
# Add condenser config to eval note if provided
if [ -n "$EVAL_CONDENSER" ]; then
EVAL_NOTE="${EVAL_NOTE}-${EVAL_CONDENSER}"
fi
function run_eval() {
local eval_note="${1}"
COMMAND="poetry run python evaluation/benchmarks/nocode_bench/run_infer_nc.py \
--agent-cls $AGENT \
--llm-config $MODEL_CONFIG \
--max-iterations $MAX_ITER \
--eval-num-workers $NUM_WORKERS \
--eval-note $eval_note \
--dataset $DATASET \
--split $SPLIT \
--mode $MODE"
if [ -n "$EVAL_LIMIT" ]; then
echo "EVAL_LIMIT: $EVAL_LIMIT"
COMMAND="$COMMAND --eval-n-limit $EVAL_LIMIT"
fi
# Run the command
eval $COMMAND
}
unset SANDBOX_ENV_GITHUB_TOKEN # prevent the agent from using the github token to push
if [ -z "$N_RUNS" ]; then
N_RUNS=1
echo "N_RUNS not specified, use default $N_RUNS"
fi
# Skip runs if the run number is in the SKIP_RUNS list
# read from env variable SKIP_RUNS as a comma separated list of run numbers
SKIP_RUNS=(${SKIP_RUNS//,/ })
for i in $(seq 1 $N_RUNS); do
if [[ " ${SKIP_RUNS[@]} " =~ " $i " ]]; then
echo "Skipping run $i"
continue
fi
current_eval_note="$EVAL_NOTE-run_$i"
echo "EVAL_NOTE: $current_eval_note"
run_eval $current_eval_note
done
checkout_original_branch

View File

@@ -1,54 +0,0 @@
"""This script compares gold patches with OpenHands-generated patches and check whether
OpenHands found the right (set of) files to modify.
"""
import argparse
import json
import re
def extract_modified_files(patch):
modified_files = set()
file_pattern = re.compile(r'^diff --git a/(.*?) b/')
for line in patch.split('\n'):
match = file_pattern.match(line)
if match:
modified_files.add(match.group(1))
return modified_files
def process_report(oh_output_file):
succ = 0
fail = 0
for line in open(oh_output_file):
line = json.loads(line)
instance_id = line['instance_id']
gold_patch = line['swe_instance']['patch']
generated_patch = line['git_patch']
gold_modified_files = extract_modified_files(gold_patch)
# swe-bench lite only: a gold patch always contains exactly one file
assert len(gold_modified_files) == 1
generated_modified_files = extract_modified_files(generated_patch)
# Check if all files in gold_patch are also in generated_patch
all_files_in_generated = gold_modified_files.issubset(generated_modified_files)
if all_files_in_generated:
succ += 1
else:
fail += 1
print(
f'{instance_id}: file mismatch, gold = {gold_modified_files}, generated = {generated_modified_files}'
)
print(
f'\nSUMMARY: {succ} out of {succ + fail} instances found correct files to edit, success rate = {succ / float(succ + fail)}'
)
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--oh_output_file', help='Path to the OH output file')
args = parser.parse_args()
process_report(args.oh_output_file)

View File

@@ -1,53 +0,0 @@
#!/usr/bin/env bash
source ~/.bashrc
SWEUTIL_DIR=/swe_util
if [ -z "$SWE_INSTANCE_ID" ]; then
echo "Error: SWE_INSTANCE_ID is not set." >&2
exit 1
fi
item=$(jq --arg INSTANCE_ID "$SWE_INSTANCE_ID" '.[] | select(.instance_id == $INSTANCE_ID)' $SWEUTIL_DIR/eval_data/instances/swe-bench-instance.json)
if [[ -z "$item" ]]; then
echo "No item found for the provided instance ID."
exit 1
fi
REPO_NAME=$(echo "$item" | jq -r '.repo | split("/")[-1]')
WORKSPACE_NAME="$REPO_NAME"
echo "WORKSPACE_NAME: $WORKSPACE_NAME"
# Clear the workspace
if [ -d /workspace ]; then
rm -rf /workspace/*
else
mkdir /workspace
fi
# Copy repo to workspace
if [ -d /workspace/$WORKSPACE_NAME ]; then
rm -rf /workspace/$WORKSPACE_NAME
fi
mkdir -p /workspace
SRC_DIR="/root/$REPO_NAME"
DEST_DIR="/workspace/$WORKSPACE_NAME"
cp -r "$SRC_DIR" "$DEST_DIR"
echo ">> Extracting conda environment name..."
CONDA_ENV_NAME=$(echo "$item" | jq -r '.conda_env // empty')
# Activate instance-specific environment
if [ -d /opt/miniconda3 ]; then
. /opt/miniconda3/etc/profile.d/conda.sh
conda activate $CONDA_ENV_NAME
fi

View File

@@ -1,154 +0,0 @@
import json
import multiprocessing as mp
from typing import Awaitable, Callable, TextIO
import numpy as np
import pandas as pd
from pydantic import SecretStr
from tqdm import tqdm
from evaluation.utils.shared import (
EvalMetadata,
EvalOutput,
_process_instance_wrapper,
_process_instance_wrapper_mp,
)
from openhands.core.logger import openhands_logger as logger
def update_progress_nc(
result: EvalOutput,
pbar: tqdm,
output_fp: TextIO,
):
"""Update the progress bar and write the result to the output file."""
pbar.update(1)
pbar.set_description(f'Instance {result.instance_id}')
pbar.set_postfix_str(f'Test Result: {str(result.test_result)[:300]}...')
logger.info(
f'Finished evaluation for instance {result.instance_id}: '
f'{str(result.test_result)[:300]}...\n'
)
def make_serializable(obj):
if isinstance(obj, pd.Series):
return make_serializable(obj.to_dict())
if isinstance(obj, dict):
return {k: make_serializable(v) for k, v in obj.items()}
elif isinstance(obj, (list, tuple, set)):
converted = [make_serializable(v) for v in obj]
if isinstance(obj, list):
return converted
elif isinstance(obj, tuple):
return tuple(converted)
else: # set
return converted
elif isinstance(obj, np.ndarray):
return obj.tolist()
elif isinstance(obj, np.generic):
return obj.item()
elif isinstance(obj, pd.Timestamp):
return obj.isoformat()
elif SecretStr is not None and isinstance(obj, SecretStr):
return str(obj)
else:
return obj
try:
raw_data = result.model_dump(mode='python', round_trip=False)
safe_data = make_serializable(raw_data)
output_fp.write(json.dumps(safe_data, ensure_ascii=False) + '\n')
output_fp.flush()
except Exception as e:
logger.error(f'Failed to write full result: {e}')
fallback = {
'instance_id': result.instance_id,
'model_patch': result.test_result.get('git_patch', ''),
}
try:
output_fp.write(json.dumps(fallback, ensure_ascii=False) + '\n')
output_fp.flush()
logger.info(
f'Wrote fallback result for instance {result.instance_id}: only instance_id and model_patch.'
)
except Exception as e2:
logger.error(f'Failed to write fallback result: {e2}')
def cleanup():
print('Cleaning up child processes...')
for process in mp.active_children():
print(f'Terminating child process: {process.name}')
process.terminate()
process.join()
def run_evaluation_nocode_bench(
dataset: pd.DataFrame,
metadata: EvalMetadata | None,
output_file: str,
num_workers: int,
process_instance_func: Callable[
[pd.Series, EvalMetadata, bool], Awaitable[EvalOutput]
],
max_retries: int = 5, # number of retries for each instance
timeout_seconds: int | None = None,
):
use_multiprocessing = num_workers > 1
if metadata is not None:
logger.info(
f'Evaluation started with Agent {metadata.agent_class}:\n'
f'model {metadata.llm_config.model}, max iterations {metadata.max_iterations}.\n'
)
else:
logger.warning('Running evaluation without metadata.')
logger.info(f'Evaluation started with {num_workers} workers.')
total_instances = len(dataset)
pbar = tqdm(total=total_instances, desc='Instances processed')
output_fp = open(output_file, 'a')
try:
if use_multiprocessing:
with mp.Pool(num_workers) as pool:
args_iter = (
(
process_instance_func,
instance,
metadata,
True,
max_retries,
timeout_seconds,
)
for _, instance in dataset.iterrows()
)
results = pool.imap_unordered(_process_instance_wrapper_mp, args_iter)
for result in results:
update_progress_nc(result, pbar, output_fp)
else:
for _, instance in dataset.iterrows():
result = _process_instance_wrapper(
process_instance_func=process_instance_func,
instance=instance,
metadata=metadata,
use_mp=False,
max_retries=max_retries,
)
update_progress_nc(result, pbar, output_fp)
except KeyboardInterrupt:
print('\nKeyboardInterrupt received. Cleaning up...\n')
cleanup()
output_fp.close()
logger.info('\nEvaluation finished.\n')

View File

@@ -12,7 +12,6 @@ from evaluation.utils.shared import (
codeact_user_response,
compatibility_for_eval_history_pairs,
get_default_sandbox_config_for_eval,
get_metrics,
make_metadata,
prepare_dataset,
reset_logger_for_multiprocessing,
@@ -22,8 +21,8 @@ from evaluation.utils.shared import (
from openhands.controller.state.state import State
from openhands.core.config import (
OpenHandsConfig,
get_evaluation_parser,
get_llm_config_arg,
get_parser,
)
from openhands.core.logger import openhands_logger as logger
from openhands.core.main import create_runtime, run_controller
@@ -219,7 +218,7 @@ If the program uses some packages that are incompatible, please figure out alter
# 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 = get_metrics(state)
metrics = state.metrics.get() if state.metrics else None
# 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
@@ -240,7 +239,7 @@ If the program uses some packages that are incompatible, please figure out alter
if __name__ == '__main__':
parser = get_evaluation_parser()
parser = get_parser()
parser.add_argument(
'--use-knowledge',
type=str,

View File

@@ -2,8 +2,6 @@
This folder contains the evaluation harness that we built on top of the original [SWE-Bench benchmark](https://www.swebench.com/) ([paper](https://arxiv.org/abs/2310.06770)).
**UPDATE (8/12/2025): We now support running SWE-rebench evaluation (see the paper [here](https://arxiv.org/abs/2505.20411))! For how to run it, checkout [this README](./SWE-rebench.md).**
**UPDATE (6/15/2025): We now support running SWE-bench-Live evaluation (see the paper [here](https://arxiv.org/abs/2505.23419))! For how to run it, checkout [this README](./SWE-bench-Live.md).**
**UPDATE (5/26/2025): We now support running interactive SWE-Bench evaluation (see the paper [here](https://arxiv.org/abs/2502.13069))! For how to run it, checkout [this README](./SWE-Interact.md).**
@@ -93,9 +91,6 @@ export USE_HINT_TEXT=true # Ignore this if you are not sure.
# Specify a condenser configuration for memory management (default: NoOpCondenser)
export EVAL_CONDENSER=summarizer_for_eval # Name of the condenser config group in config.toml
# Specify the instruction prompt template file name
export INSTRUCTION_TEMPLATE_NAME=swe_custom.j2 # Name of the file in the swe_bench/prompts folder.
```
Let's say you'd like to run 10 instances using `llm.eval_gpt4_1106_preview` and CodeActAgent,
@@ -188,7 +183,24 @@ The final results will be saved to `evaluation/evaluation_outputs/outputs/swe_be
- `report.json`: a JSON file that contains keys like `"resolved_ids"` pointing to instance IDs that are resolved by the agent.
- `logs/`: a directory of test logs
### Run evaluation with `RemoteRuntime`
OpenHands Remote Runtime is currently in beta (read [here](https://runtime.all-hands.dev/) for more details), it allows you to run rollout in parallel in the cloud, so you don't need a powerful machine to run evaluation.
Fill out [this form](https://docs.google.com/forms/d/e/1FAIpQLSckVz_JFwg2_mOxNZjCtr7aoBFI2Mwdan3f75J_TrdMS1JV2g/viewform) to apply if you want to try this out!
```bash
./evaluation/benchmarks/swe_bench/scripts/eval_infer_remote.sh [output.jsonl filepath] [num_workers]
# Example - This evaluates patches generated by CodeActAgent on Llama-3.1-70B-Instruct-Turbo on "princeton-nlp/SWE-bench_Lite"'s test set, with 16 number of workers running in parallel
ALLHANDS_API_KEY="YOUR-API-KEY" RUNTIME=remote SANDBOX_REMOTE_RUNTIME_API_URL="https://runtime.eval.all-hands.dev" EVAL_DOCKER_IMAGE_PREFIX="us-central1-docker.pkg.dev/evaluation-092424/swe-bench-images" \
evaluation/benchmarks/swe_bench/scripts/eval_infer_remote.sh evaluation/evaluation_outputs/outputs/swe-bench-lite/CodeActAgent/Llama-3.1-70B-Instruct-Turbo_maxiter_100_N_v1.9-no-hint/output.jsonl 16 "princeton-nlp/SWE-bench_Lite" "test"
```
To clean-up all existing runtimes that you've already started, run:
```bash
ALLHANDS_API_KEY="YOUR-API-KEY" ./evaluation/utils/scripts/cleanup_remote_runtime.sh
```
## SWT-Bench Evaluation

View File

@@ -1,84 +0,0 @@
# SWE-rebench
<p align="center">
<a href="https://arxiv.org/abs/2505.20411">📃 Paper</a>
<a href="https://huggingface.co/datasets/nebius/SWE-rebench">🤗 HuggingFace</a>
<a href="https://swe-rebench.com/leaderboard">📊 Leaderboard</a>
</p>
SWE-rebench is a large-scale dataset for verifiable software engineering tasks.
It comes in **two datasets**:
* **[`nebius/SWE-rebench-leaderboard`](https://huggingface.co/datasets/nebius/SWE-rebench-leaderboard)** updatable benchmark used for [leaderboard evaluation](https://swe-rebench.com/leaderboard).
* **[`nebius/SWE-rebench`](https://huggingface.co/datasets/nebius/SWE-rebench)** full dataset with **21,302 tasks**, suitable for training or large-scale offline evaluation.
This document explains how to run OpenHands on SWE-rebench, using the leaderboard split as the main example.
To run on the full dataset, simply replace the dataset name.
## Setting Up
Set up your development environment and configure your LLM provider by following the [SWE-bench README](README.md) in this directory.
## Running Inference
Use the existing SWE-bench inference script, changing the dataset to `nebius/SWE-rebench-leaderboard` and selecting the split (`test` for leaderboard submission):
```bash
./evaluation/benchmarks/swe_bench/scripts/run_infer.sh \
llm.your_llm HEAD CodeActAgent 30 50 1 nebius/SWE-rebench-leaderboard test
```
Arguments:
* `llm.your_llm` your model configuration key
* `HEAD` commit reference for reproducibility
* `CodeActAgent` agent type
* `10` number of examples to evaluate
* `50` maximum iterations per task (increase if needed)
* `1` number of workers
* `nebius/SWE-rebench-leaderboard` Hugging Face dataset name
* `test` dataset split
**Tip:** To run on the **full 21k dataset**, replace `nebius/SWE-rebench-leaderboard` with `nebius/SWE-rebench`.
## Evaluating Results
After inference completes, evaluate using the [SWE-bench-fork evaluation harness](https://github.com/SWE-rebench/SWE-bench-fork).
1. Convert the OpenHands output to SWE-bench evaluation format:
```bash
python evaluation/benchmarks/swe_bench/scripts/live/convert.py \
--output_jsonl path/to/evaluation/output.jsonl > preds.jsonl
```
2. Clone the SWE-bench-fork repo (https://github.com/SWE-rebench/SWE-bench-fork) and follow its README to install dependencies.
3. Run the evaluation using the fork:
```bash
python -m swebench.harness.run_evaluation \
--dataset_name nebius/SWE-rebench-leaderboard \
--split test \
--predictions_path preds.jsonl \
--max_workers 10 \
--run_id openhands
```
## Citation
```bibtex
@article{badertdinov2025swerebench,
title={SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents},
author={Badertdinov, Ibragim and Golubev, Alexander and Nekrashevich, Maksim and Shevtsov, Anton and Karasik, Simon and Andriushchenko, Andrei and Trofimova, Maria and Litvintseva, Daria and Yangel, Boris},
journal={arXiv preprint arXiv:2505.20411},
year={2025}
}
```

View File

@@ -1,8 +1,11 @@
"""Utilities for handling binary files and patch generation in SWE-bench evaluation."""
"""
Utilities for handling binary files and patch generation in SWE-bench evaluation.
"""
def remove_binary_diffs(patch_text):
"""Remove binary file diffs from a git patch.
"""
Remove binary file diffs from a git patch.
Args:
patch_text (str): The git patch text
@@ -33,7 +36,8 @@ def remove_binary_diffs(patch_text):
def remove_binary_files_from_git():
"""Generate a bash command to remove binary files from git staging.
"""
Generate a bash command to remove binary files from git staging.
Returns:
str: A bash command that removes binary files from git staging

View File

@@ -26,7 +26,7 @@ from evaluation.utils.shared import (
from openhands.core.config import (
LLMConfig,
OpenHandsConfig,
get_evaluation_parser,
get_parser,
)
from openhands.core.logger import openhands_logger as logger
from openhands.core.main import create_runtime
@@ -111,7 +111,8 @@ def process_instance(
runtime_failure_count: int = 0,
conditional_imports: ConditionalImports | None = None,
) -> EvalOutput:
"""Evaluate agent performance on a SWE-bench problem instance.
"""
Evaluate agent performance on a SWE-bench problem instance.
Note that this signature differs from the expected input to `run_evaluation`. Use
`functools.partial` to provide optional arguments before passing to the evaluation harness.
@@ -352,7 +353,7 @@ def process_instance(
if __name__ == '__main__':
parser = get_evaluation_parser()
parser = get_parser()
parser.add_argument(
'--input-file',
type=str,

View File

@@ -16,7 +16,8 @@ from openhands.core.logger import openhands_logger as logger
class LocEvaluator:
def __init__(self, args):
"""Localization evaluation.
"""
Localization evaluation.
Args:
args: all main arguments
@@ -75,7 +76,8 @@ class LocEvaluator:
self.task_resolved = False
def _init_dir(self, directory_path):
"""Check if a directory exists and create it if it doesn't.
"""
Check if a directory exists and create it if it doesn't.
Args:
directory_path (str): Path to the directory to check/create
@@ -205,7 +207,8 @@ class LocEvaluator:
self._compute_avg_over_all()
def _write_to_json(self, data, file_name):
"""Writes the current object data to a JSON file.
"""
Writes the current object data to a JSON file.
Returns:
bool: True if writing was successful, False otherwise.
@@ -222,7 +225,8 @@ class LocEvaluator:
return False
def read_from_json(self, file_path):
"""Reads data from a JSON file and loads it into the current object.
"""
Reads data from a JSON file and loads it into the current object.
Returns:
dict: The loaded JSON data, or an empty dict if the file doesn't exist
@@ -249,7 +253,8 @@ class LocEvaluator:
return {}
def read_from_jsonl(self, file_path):
"""Reads data from a JSON file and loads it into the current object.
"""
Reads data from a JSON file and loads it into the current object.
Returns:
dict: The loaded JSON data, or an empty dict if the file doesn't exist
@@ -289,7 +294,8 @@ class LocEvaluator:
history_idx += 1
def _parse_string_to_dict(self, dict_string) -> dict:
"""Convert a string representation of a dictionary to an actual dictionary.
"""
Convert a string representation of a dictionary to an actual dictionary.
Args:
dict_string (str): String representation of a dictionary
@@ -322,7 +328,8 @@ class LocEvaluator:
return None
def _parse_value_from_args(self, argument_str: str, key: str) -> str:
"""Parse a specific key's value from argument string.
"""
Parse a specific key's value from argument string.
Args:
argument_str (str): The argument string containing key-value pairs
@@ -400,7 +407,8 @@ class LocEvaluator:
return ''
def _parse_path_from_args(self, argument_str: str) -> str:
"""Parse path from argument string.
"""
Parse path from argument string.
Args:
argument_str (str): The argument string containing path information
@@ -411,7 +419,8 @@ class LocEvaluator:
return self._parse_value_from_args(argument_str, 'path')
def _parse_func_names_from_str(self, code_patch) -> list:
"""Parse function names from the new_str code patch.
"""
Parse function names from the new_str code patch.
Args:
code_patch: Either a string (argument string) or already extracted new_str code
@@ -792,7 +801,8 @@ class LocEvaluator:
def swe_data_loader(args):
"""Loading SWE-Bench data.
"""
Loading SWE-Bench data.
Args:
args: Main arguments.
@@ -824,7 +834,8 @@ def swe_data_loader(args):
def infer_data_loader(args):
"""Load instance IDs.
"""
Load instance IDs.
Args:
args: Main arguments.
@@ -857,7 +868,8 @@ def infer_data_loader(args):
def infer_cost_calculator(args):
"""Calculate total and average costs from metric JSON files with detailed output.
"""
Calculate total and average costs from metric JSON files with detailed output.
Args:
args: Main arguments.

View File

@@ -28,7 +28,8 @@ class LocalizationInfo:
hunks_per_file: dict[str, int] # File -> number of hunks
def to_dict(self) -> dict[str, Any]:
"""Convert LocalizationInfo to a dictionary for JSON serialization.
"""
Convert LocalizationInfo to a dictionary for JSON serialization.
Returns:
Dictionary representation of the localization information
@@ -57,7 +58,8 @@ class LocalizationInfo:
@classmethod
def from_dict(cls, data: dict[str, Any]) -> 'LocalizationInfo':
"""Create LocalizationInfo from a dictionary (for loading from JSON).
"""
Create LocalizationInfo from a dictionary (for loading from JSON).
Args:
data: Dictionary containing localization information
@@ -89,7 +91,8 @@ class LocalizationInfo:
class LocMeta:
"""SWE-Bench dataset loader and ground-truth localization parser.
"""
SWE-Bench dataset loader and ground-truth localization parser.
This class handles loading SWE-Bench datasets and extracting ground-truth
localization information from patches for code localization evaluation.
@@ -101,7 +104,8 @@ class LocMeta:
dataset_name: str = 'princeton-nlp/SWE-bench_Verified',
split: str = 'test',
):
"""Initialize LocMeta with a SWE-Bench dataset.
"""
Initialize LocMeta with a SWE-Bench dataset.
Args:
dataset_name: HuggingFace dataset name (e.g., "princeton-nlp/SWE-bench_Verified")
@@ -120,7 +124,8 @@ class LocMeta:
self._init_swe_dataset()
def _init_swe_dataset(self) -> None:
"""Load and initialize the SWE-Bench dataset from HuggingFace.
"""
Load and initialize the SWE-Bench dataset from HuggingFace.
Converts to pandas DataFrame for easy manipulation.
"""
try:
@@ -145,7 +150,8 @@ class LocMeta:
raise
def get_instance_by_id(self, instance_id: str) -> pd.Series:
"""Retrieve a specific instance by its ID.
"""
Retrieve a specific instance by its ID.
Args:
instance_id: The instance identifier
@@ -163,7 +169,8 @@ class LocMeta:
return self.df.iloc[idx]
def parse_instance_loc(self, instance: Union[pd.Series, str]) -> LocalizationInfo:
"""Parse ground-truth localization information from a SWE-Bench instance.
"""
Parse ground-truth localization information from a SWE-Bench instance.
Args:
instance: Either a pandas Series with instance data or an instance_id string
@@ -211,7 +218,8 @@ class LocMeta:
def _parse_file_patch_lines(
self, file_patch: str
) -> tuple[list[tuple[int, int]], int, int]:
"""Parse line ranges and count changes from a single file patch.
"""
Parse line ranges and count changes from a single file patch.
Args:
file_patch: Patch content for a single file
@@ -245,7 +253,8 @@ class LocMeta:
def _parse_code_structures_from_patch(
self, file_patch: str, file_path: str
) -> tuple[list[str], list[str]]:
"""Extract function and class names from patch context (fallback method).
"""
Extract function and class names from patch context (fallback method).
Args:
file_patch: Patch content for a single file
@@ -302,7 +311,8 @@ class LocMeta:
def _parse_patch_localization(
self, patch_content: str, instance_id: str
) -> LocalizationInfo:
"""Parse localization information from a git patch (improved method).
"""
Parse localization information from a git patch (improved method).
Args:
patch_content: The git patch content
@@ -380,7 +390,8 @@ class LocMeta:
def _extract_code_structures_from_patch(
self, file_patch: str, file_path: str
) -> tuple[list[str], list[str]]:
"""Extract function and class names from patch context and content.
"""
Extract function and class names from patch context and content.
Args:
file_patch: Patch content for a single file
@@ -508,7 +519,8 @@ class LocMeta:
def _parse_patch_localization_with_runtime(
self, patch_content: str, instance_id: str, runtime: Runtime
) -> LocalizationInfo:
"""Parse localization information from a git patch using OpenHands runtime.
"""
Parse localization information from a git patch using OpenHands runtime.
This is the superior method when runtime is available.
Args:
@@ -584,7 +596,8 @@ class LocMeta:
def parse_instance_loc_with_runtime(
self, instance: Union[pd.Series, str], runtime: Runtime = None
) -> LocalizationInfo:
"""Parse ground-truth localization information using OpenHands runtime.
"""
Parse ground-truth localization information using OpenHands runtime.
Args:
instance: Either a pandas Series with instance data or an instance_id string
@@ -621,7 +634,8 @@ class LocMeta:
def _analyze_source_code_with_runtime(
self, runtime: Runtime, file_path: str, affected_lines: list[int]
) -> tuple[list[str], list[str], dict[int, str], dict[int, str]]:
"""Analyze source code using OpenHands runtime to find functions and classes.
"""
Analyze source code using OpenHands runtime to find functions and classes.
Args:
runtime: OpenHands runtime object
@@ -681,7 +695,8 @@ class LocMeta:
def _parse_cython_content_with_line_mapping(
self, content: str, affected_lines: list[int]
) -> tuple[list[str], list[str], dict[int, str], dict[int, str]]:
"""Parse Cython content to extract functions and classes with line mapping.
"""
Parse Cython content to extract functions and classes with line mapping.
Since Cython files can't be parsed with Python's AST, we use regex-based parsing.
Args:
@@ -813,7 +828,8 @@ class LocMeta:
def _parse_python_content_with_line_mapping(
self, content: str, affected_lines: list[int]
) -> tuple[list[str], list[str], dict[int, str], dict[int, str]]:
"""Parse Python content to extract functions and classes with accurate line mapping.
"""
Parse Python content to extract functions and classes with accurate line mapping.
Args:
content: Python source code content
@@ -898,7 +914,8 @@ class LocMeta:
def _parse_python_content(
self, content: str, affected_lines: list[int]
) -> tuple[list[str], list[str], dict[int, str], dict[int, str]]:
"""Parse Python content to extract functions and classes.
"""
Parse Python content to extract functions and classes.
Args:
content: Python source code content
@@ -972,7 +989,8 @@ class LocMeta:
return [], [], {}, {}
def _split_patch_by_files(self, patch_content: str) -> dict[str, str]:
"""Split a multi-file patch into individual file patches.
"""
Split a multi-file patch into individual file patches.
Args:
patch_content: Complete patch content
@@ -1031,7 +1049,8 @@ class LocMeta:
def _empty_localization_info(
self, instance_id: str = 'unknown'
) -> LocalizationInfo:
"""Return an empty LocalizationInfo object.
"""
Return an empty LocalizationInfo object.
Args:
instance_id: Instance identifier
@@ -1053,7 +1072,8 @@ class LocMeta:
)
def get_dataset_statistics(self) -> dict[str, Any]:
"""Get statistics about the loaded dataset.
"""
Get statistics about the loaded dataset.
Returns:
Dictionary containing dataset statistics
@@ -1075,7 +1095,8 @@ class LocMeta:
return stats
def get_instances_by_repo(self, repo_name: str) -> pd.DataFrame:
"""Get all instances for a specific repository.
"""
Get all instances for a specific repository.
Args:
repo_name: Repository name (e.g., "django/django")

View File

@@ -0,0 +1,65 @@
<uploaded_files>
/workspace/{{ workspace_dir_name }}
</uploaded_files>
I've uploaded a python code repository in the directory {{ workspace_dir_name }}. Consider the following issue description:
<issue_description>
{{ instance.problem_statement }}
</issue_description>
Can you help me implement the necessary changes to the repository so that the requirements specified in the <issue_description> are met?
I've already taken care of all changes to any of the test files described in the <issue_description>. This means you DON'T have to modify the testing logic or any of the tests in any way!
Also the development Python environment is already set up for you (i.e., all dependencies already installed), so you don't need to install other packages.
Your task is to make the minimal changes to non-test files in the /workspace/{{ workspace_dir_name }} directory to ensure the <issue_description> is satisfied.
Follow these phases to resolve the issue:
Phase 1. READING: read the problem and reword it in clearer terms
1.1 If there are code or config snippets. Express in words any best practices or conventions in them.
1.2 Hightlight message errors, method names, variables, file names, stack traces, and technical details.
1.3 Explain the problem in clear terms.
1.4 Enumerate the steps to reproduce the problem.
1.5 Hightlight any best practices to take into account when testing and fixing the issue
Phase 2. RUNNING: install and run the tests on the repository
2.1 Follow the readme
2.2 Install the environment and anything needed
2.2 Iterate and figure out how to run the tests
Phase 3. EXPLORATION: find the files that are related to the problem and possible solutions
3.1 Use `grep` to search for relevant methods, classes, keywords and error messages.
3.2 Identify all files related to the problem statement.
3.3 Propose the methods and files to fix the issue and explain why.
3.4 From the possible file locations, select the most likely location to fix the issue.
Phase 4. TEST CREATION: before implementing any fix, create a script to reproduce and verify the issue.
4.1 Look at existing test files in the repository to understand the test format/structure.
4.2 Create a minimal reproduction script that reproduces the located issue.
4.3 Run the reproduction script to confirm you are reproducing the issue.
4.4 Adjust the reproduction script as necessary.
Phase 5. FIX ANALYSIS: state clearly the problem and how to fix it
5.1 State clearly what the problem is.
5.2 State clearly where the problem is located.
5.3 State clearly how the test reproduces the issue.
5.4 State clearly the best practices to take into account in the fix.
5.5 State clearly how to fix the problem.
Phase 6. FIX IMPLEMENTATION: Edit the source code to implement your chosen solution.
6.1 Make minimal, focused changes to fix the issue.
Phase 7. VERIFICATION: Test your implementation thoroughly.
7.1 Run your reproduction script to verify the fix works.
7.2 Add edge cases to your test script to ensure comprehensive coverage.
7.3 Run existing tests related to the modified code to ensure you haven't broken anything.
8. FINAL REVIEW: Carefully re-read the problem description and compare your changes with the base commit {{ instance.base_commit }}.
8.1 Ensure you've fully addressed all requirements.
8.2 Run any tests in the repository related to:
8.2.1 The issue you are fixing
8.2.2 The files you modified
8.2.3 The functions you changed
8.3 If any tests fail, revise your implementation until all tests pass
Be thorough in your exploration, testing, and reasoning. It's fine if your thinking process is lengthy - quality and completeness are more important than brevity.

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