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2 Commits

Author SHA1 Message Date
Ray Myers
854a49c210 Merge branch 'main' into rel-0.45.0 2025-06-20 14:45:08 -05:00
Ray Myers
81e814abe3 Bump version to 0.45.0 2025-06-20 14:18:22 -05:00
583 changed files with 5706 additions and 41481 deletions

1
.github/CODEOWNERS vendored
View File

@@ -3,7 +3,6 @@
# Frontend code owners
/frontend/ @rbren @amanape
/openhands-ui/ @amanape
# Evaluation code owners
/evaluation/ @xingyaoww @neubig

View File

@@ -45,13 +45,6 @@ body:
description: What version of OpenHands are you using?
placeholder: ex. 0.9.8, main, etc.
- type: input
id: model-name
attributes:
label: Model Name
description: What model are you using?
placeholder: ex. gpt-4o, claude-3-5-sonnet, openrouter/deepseek-r1, etc.
- type: dropdown
id: os
attributes:

View File

@@ -9,8 +9,8 @@ on:
- main
pull_request:
paths:
- "frontend/**"
- ".github/workflows/fe-unit-tests.yml"
- 'frontend/**'
- '.github/workflows/fe-unit-tests.yml'
# If triggered by a PR, it will be in the same group. However, each commit on main will be in its own unique group
concurrency:
@@ -24,7 +24,7 @@ jobs:
runs-on: blacksmith-4vcpu-ubuntu-2204
strategy:
matrix:
node-version: 22
node-version: [20, 22]
fail-fast: true
steps:
- name: Checkout
@@ -38,7 +38,7 @@ jobs:
run: npm ci
- name: Run TypeScript compilation
working-directory: ./frontend
run: npm run build
run: npm run make-i18n && tsc
- name: Run tests and collect coverage
working-directory: ./frontend
run: npm run test:coverage

View File

@@ -42,6 +42,7 @@ jobs:
json=$(jq -n -c '[
{ image: "nikolaik/python-nodejs:python3.12-nodejs22", tag: "nikolaik" },
{ image: "ubuntu:24.04", tag: "ubuntu" }
]')
else
json=$(jq -n -c '[
@@ -55,10 +56,12 @@ jobs:
ghcr_build_app:
name: Build App Image
runs-on: blacksmith-4vcpu-ubuntu-2204
if: "!(github.event_name == 'push' && startsWith(github.ref, 'refs/tags/ext-v'))"
permissions:
contents: read
packages: write
outputs:
# Since this job uses outputs it cannot use matrix
hash_from_app_image: ${{ steps.get_hash_in_app_image.outputs.hash_from_app_image }}
steps:
- name: Checkout
uses: actions/checkout@v4
@@ -84,12 +87,24 @@ jobs:
if: "!github.event.pull_request.head.repo.fork"
run: |
./containers/build.sh -i openhands -o ${{ env.REPO_OWNER }} --push
- name: Build app image
if: "github.event.pull_request.head.repo.fork"
run: |
./containers/build.sh -i openhands -o ${{ env.REPO_OWNER }} --load
- name: Get hash in App Image
id: get_hash_in_app_image
run: |
# Run the build script in the app image
docker run -e SANDBOX_USER_ID=0 -v /var/run/docker.sock:/var/run/docker.sock ghcr.io/${{ env.REPO_OWNER }}/openhands:${{ env.RELEVANT_SHA }} /bin/bash -c "mkdir -p containers/runtime; python3 openhands/runtime/utils/runtime_build.py --base_image ${{ env.BASE_IMAGE_FOR_HASH_EQUIVALENCE_TEST }} --build_folder containers/runtime --force_rebuild" 2>&1 | tee docker-outputs.txt
# Get the hash from the build script
hash_from_app_image=$(cat docker-outputs.txt | grep "Hash for docker build directory" | awk -F "): " '{print $2}' | uniq | head -n1)
echo "hash_from_app_image=$hash_from_app_image" >> $GITHUB_OUTPUT
echo "Hash from app image: $hash_from_app_image"
# Builds the runtime Docker images
ghcr_build_runtime:
name: Build Image
runs-on: blacksmith-8vcpu-ubuntu-2204
if: "!(github.event_name == 'push' && startsWith(github.ref, 'refs/tags/ext-v'))"
runs-on: blacksmith-4vcpu-ubuntu-2204
permissions:
contents: read
packages: write
@@ -115,13 +130,22 @@ jobs:
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: useblacksmith/setup-python@v6
with:
python-version: '3.12'
cache: poetry
- name: Cache Poetry dependencies
uses: useblacksmith/cache@v5
with:
path: |
~/.cache/pypoetry
~/.virtualenvs
key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
# This is the one that saves the cache, the others set 'lookup-only: true'
restore-keys: |
${{ runner.os }}-poetry-
- name: Install poetry via pipx
run: pipx install poetry
- name: Install Python dependencies using Poetry
run: make install-python-dependencies POETRY_GROUP=main INSTALL_PLAYWRIGHT=0
- name: Create source distribution and Dockerfile
@@ -166,6 +190,61 @@ jobs:
name: runtime-src-${{ matrix.base_image.tag }}
path: containers/runtime
verify_hash_equivalence_in_runtime_and_app:
name: Verify Hash Equivalence in Runtime and Docker images
runs-on: blacksmith-4vcpu-ubuntu-2204
needs: [ghcr_build_runtime, ghcr_build_app]
strategy:
fail-fast: false
matrix:
base_image: ['nikolaik']
env:
BASE_IMAGE_FOR_HASH_EQUIVALENCE_TEST: nikolaik/python-nodejs:python3.12-nodejs22
steps:
- uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha }}
- name: Cache Poetry dependencies
uses: useblacksmith/cache@v5
with:
path: |
~/.cache/pypoetry
~/.virtualenvs
key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
lookup-only: true
restore-keys: |
${{ runner.os }}-poetry-
- name: Set up Python
uses: useblacksmith/setup-python@v6
with:
python-version: '3.12'
- name: Install poetry via pipx
run: pipx install poetry
- name: Install Python dependencies using Poetry
run: make install-python-dependencies POETRY_GROUP=main INSTALL_PLAYWRIGHT=0
- name: Get hash in App Image
run: |
echo "Hash from app image: ${{ needs.ghcr_build_app.outputs.hash_from_app_image }}"
echo "hash_from_app_image=${{ needs.ghcr_build_app.outputs.hash_from_app_image }}" >> $GITHUB_ENV
- name: Get hash using code (development mode)
run: |
mkdir -p containers/runtime
poetry run python3 openhands/runtime/utils/runtime_build.py --base_image ${{ env.BASE_IMAGE_FOR_HASH_EQUIVALENCE_TEST }} --build_folder containers/runtime --force_rebuild > output.txt 2>&1
hash_from_code=$(cat output.txt | grep "Hash for docker build directory" | awk -F "): " '{print $2}' | uniq | head -n1)
echo "hash_from_code=$hash_from_code" >> $GITHUB_ENV
- name: Compare hashes
run: |
echo "Hash from App Image: ${{ env.hash_from_app_image }}"
echo "Hash from Code: ${{ env.hash_from_code }}"
if [ "${{ env.hash_from_app_image }}" = "${{ env.hash_from_code }}" ]; then
echo "Hashes match!"
else
echo "Hashes do not match!"
exit 1
fi
# Run unit tests with the Docker runtime Docker images as root
test_runtime_root:
name: RT Unit Tests (Root)
@@ -197,17 +276,25 @@ jobs:
load: true
tags: ghcr.io/${{ env.REPO_OWNER }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image.tag }}
context: containers/runtime
- name: Install poetry via pipx
run: pipx install poetry
- name: Cache Poetry dependencies
uses: useblacksmith/cache@v5
with:
path: |
~/.cache/pypoetry
~/.virtualenvs
key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
lookup-only: true
restore-keys: |
${{ runner.os }}-poetry-
- name: Set up Python
uses: useblacksmith/setup-python@v6
with:
python-version: '3.12'
cache: poetry
- name: Install poetry via pipx
run: pipx install poetry
- name: Install Python dependencies using Poetry
run: make install-python-dependencies INSTALL_PLAYWRIGHT=0
- name: Run docker runtime tests
shell: bash
run: |
# We install pytest-xdist in order to run tests across CPUs
poetry run pip install pytest-xdist
@@ -259,17 +346,25 @@ jobs:
load: true
tags: ghcr.io/${{ env.REPO_OWNER }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image.tag }}
context: containers/runtime
- name: Install poetry via pipx
run: pipx install poetry
- name: Cache Poetry dependencies
uses: useblacksmith/cache@v5
with:
path: |
~/.cache/pypoetry
~/.virtualenvs
key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
lookup-only: true
restore-keys: |
${{ runner.os }}-poetry-
- name: Set up Python
uses: useblacksmith/setup-python@v6
with:
python-version: '3.12'
cache: poetry
- name: Install poetry via pipx
run: pipx install poetry
- name: Install Python dependencies using Poetry
run: make install-python-dependencies POETRY_GROUP=main,test,runtime INSTALL_PLAYWRIGHT=0
- name: Run runtime tests
shell: bash
run: |
# We install pytest-xdist in order to run tests across CPUs
poetry run pip install pytest-xdist
@@ -296,7 +391,7 @@ jobs:
name: All Runtime Tests Passed
if: ${{ !cancelled() && !contains(needs.*.result, 'failure') && !contains(needs.*.result, 'cancelled') }}
runs-on: blacksmith-4vcpu-ubuntu-2204
needs: [test_runtime_root, test_runtime_oh]
needs: [test_runtime_root, test_runtime_oh, verify_hash_equivalence_in_runtime_and_app]
steps:
- name: All tests passed
run: echo "All runtime tests have passed successfully!"
@@ -305,7 +400,7 @@ jobs:
name: All Runtime Tests Passed
if: ${{ cancelled() || contains(needs.*.result, 'failure') || contains(needs.*.result, 'cancelled') }}
runs-on: blacksmith-4vcpu-ubuntu-2204
needs: [test_runtime_root, test_runtime_oh]
needs: [test_runtime_root, test_runtime_oh, verify_hash_equivalence_in_runtime_and_app]
steps:
- name: Some tests failed
run: |
@@ -330,7 +425,6 @@ jobs:
PR_NUMBER: ${{ github.event.pull_request.number }}
REPO: ${{ github.repository }}
SHORT_SHA: ${{ steps.short_sha.outputs.SHORT_SHA }}
shell: bash
run: |
echo "updating PR description"
DOCKER_RUN_COMMAND="docker run -it --rm \

View File

@@ -54,7 +54,7 @@ jobs:
Hi! I started running the integration tests on your PR. You will receive a comment with the results shortly.
- name: Install Python dependencies using Poetry
run: poetry install --with dev,test,runtime,evaluation
run: poetry install --with dev,test,runtime
- name: Configure config.toml for testing with Haiku
env:
@@ -179,8 +179,8 @@ jobs:
id: create_comment
uses: KeisukeYamashita/create-comment@v1
with:
# if triggered by PR, use PR number, otherwise use 9745 as fallback issue number for manual triggers
number: ${{ github.event_name == 'pull_request' && github.event.pull_request.number || 9745 }}
# if triggered by PR, use PR number, otherwise use 5318 as fallback issue number for manual triggers
number: ${{ github.event_name == 'pull_request' && github.event.pull_request.number || 5318 }}
unique: false
comment: |
Trigger by: ${{ github.event_name == 'pull_request' && format('Pull Request (integration-test label on PR #{0})', github.event.pull_request.number) || (github.event_name == 'workflow_dispatch' && format('Manual Trigger: {0}', github.event.inputs.reason)) || 'Nightly Scheduled Run' }}

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@@ -21,10 +21,10 @@ jobs:
fetch-depth: 0
token: ${{ secrets.GITHUB_TOKEN }}
- name: Install Node.js 22
- name: Install Node.js 20
uses: useblacksmith/setup-node@v5
with:
node-version: 22
node-version: 20
- name: Install frontend dependencies
run: |
cd frontend
@@ -68,7 +68,7 @@ jobs:
uses: useblacksmith/setup-python@v6
with:
python-version: 3.12
cache: "pip"
cache: 'pip'
- name: Install pre-commit
run: pip install pre-commit==3.7.0
- name: Fix python lint issues

View File

@@ -7,7 +7,7 @@ name: Lint
on:
push:
branches:
- main
- main
pull_request:
# If triggered by a PR, it will be in the same group. However, each commit on main will be in its own unique group
@@ -22,10 +22,10 @@ jobs:
runs-on: blacksmith-4vcpu-ubuntu-2204
steps:
- uses: actions/checkout@v4
- name: Install Node.js 22
- name: Install Node.js 20
uses: useblacksmith/setup-node@v5
with:
node-version: 22
node-version: 20
- name: Install dependencies
run: |
cd frontend
@@ -49,7 +49,7 @@ jobs:
uses: useblacksmith/setup-python@v6
with:
python-version: 3.12
cache: "pip"
cache: 'pip'
- name: Install pre-commit
run: pip install pre-commit==3.7.0
- name: Run pre-commit hooks

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@@ -1,108 +0,0 @@
name: Publish OpenHands UI Package
# * Always run on "main"
# * Run on PRs that have changes in the "openhands-ui" folder or this workflow
on:
push:
branches:
- main
paths:
- "openhands-ui/**"
- ".github/workflows/npm-publish-ui.yml"
# If triggered by a PR, it will be in the same group. However, each commit on main will be in its own unique group
concurrency:
group: npm-publish-ui
cancel-in-progress: false
jobs:
check-version:
name: Check if version has changed
runs-on: blacksmith-4vcpu-ubuntu-2204
defaults:
run:
shell: bash
outputs:
should-publish: ${{ steps.version-check.outputs.should-publish }}
current-version: ${{ steps.version-check.outputs.current-version }}
steps:
- name: Checkout
uses: actions/checkout@v4
with:
fetch-depth: 2 # Need previous commit to compare
- name: Check if version changed
id: version-check
run: |
# Get current version from package.json
CURRENT_VERSION=$(jq -r .version openhands-ui/package.json)
echo "current-version=$CURRENT_VERSION" >> $GITHUB_OUTPUT
# Check if package.json version changed in this commit
if git diff HEAD~1 HEAD --name-only | grep -q "openhands-ui/package.json"; then
# Check if the version field specifically changed
if git diff HEAD~1 HEAD openhands-ui/package.json | grep -q '"version"'; then
echo "Version changed in package.json, will publish"
echo "should-publish=true" >> $GITHUB_OUTPUT
else
echo "package.json changed but version did not change, skipping publish"
echo "should-publish=false" >> $GITHUB_OUTPUT
fi
else
echo "package.json did not change, skipping publish"
echo "should-publish=false" >> $GITHUB_OUTPUT
fi
publish:
name: Publish to npm
runs-on: blacksmith-4vcpu-ubuntu-2204
needs: check-version
if: needs.check-version.outputs.should-publish == 'true'
defaults:
run:
shell: bash
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Setup Bun
uses: oven-sh/setup-bun@v2
with:
bun-version-file: "openhands-ui/.bun-version"
- name: Install dependencies
working-directory: ./openhands-ui
run: bun install --frozen-lockfile
- name: Build package
working-directory: ./openhands-ui
run: bun run build
- name: Check if package already exists on npm
id: npm-check
working-directory: ./openhands-ui
run: |
PACKAGE_NAME=$(jq -r .name package.json)
VERSION="${{ needs.check-version.outputs.current-version }}"
# Check if this version already exists on npm
if npm view "$PACKAGE_NAME@$VERSION" version 2>/dev/null; then
echo "Version $VERSION already exists on npm, skipping publish"
echo "already-exists=true" >> $GITHUB_OUTPUT
else
echo "Version $VERSION does not exist on npm, proceeding with publish"
echo "already-exists=false" >> $GITHUB_OUTPUT
fi
- name: Setup npm authentication
if: steps.npm-check.outputs.already-exists == 'false'
run: |
echo "//registry.npmjs.org/:_authToken=${{ secrets.NPM_TOKEN }}" > ~/.npmrc
- name: Publish to npm
if: steps.npm-check.outputs.already-exists == 'false'
working-directory: ./openhands-ui
run: |
# The prepublishOnly script will run automatically and build the package
npm publish
echo "✅ Successfully published @openhands/ui@${{ needs.check-version.outputs.current-version }} to npm"

View File

@@ -1,5 +1,5 @@
# Workflow that runs python tests
name: Run Python Tests
# Workflow that runs python unit tests
name: Run Python Unit Tests
# The jobs in this workflow are required, so they must run at all times
# * Always run on "main"
@@ -16,9 +16,9 @@ concurrency:
cancel-in-progress: true
jobs:
# Run python tests on Linux
# Run python unit tests on Linux
test-on-linux:
name: Python Tests on Linux
name: Python Unit Tests on Linux
runs-on: blacksmith-4vcpu-ubuntu-2204
env:
INSTALL_DOCKER: '0' # Set to '0' to skip Docker installation
@@ -51,8 +51,6 @@ jobs:
run: poetry run pytest --forked -n auto -svv ./tests/unit
- name: Run Runtime Tests with CLIRuntime
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:

View File

@@ -15,7 +15,7 @@ jobs:
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'
exempt-issue-labels: 'tracked'
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

View File

@@ -1,34 +0,0 @@
name: Run UI Component Build
# * Always run on "main"
# * Run on PRs that have changes in the "openhands-ui" folder or this workflow
on:
push:
branches:
- main
pull_request:
paths:
- 'openhands-ui/**'
- '.github/workflows/ui-build.yml'
# If triggered by a PR, it will be in the same group. However, each commit on main will be in its own unique group
concurrency:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
jobs:
ui-build:
name: Build openhands-ui
runs-on: blacksmith-4vcpu-ubuntu-2204
steps:
- name: Checkout
uses: actions/checkout@v4
- uses: oven-sh/setup-bun@v2
with:
bun-version-file: "openhands-ui/.bun-version"
- name: Install dependencies
working-directory: ./openhands-ui
run: bun install --frozen-lockfile
- name: Build package
working-directory: ./openhands-ui
run: bun run build

View File

@@ -1,156 +0,0 @@
# Workflow that validates the VSCode extension builds correctly
name: VSCode Extension CI
# * Always run on "main"
# * Run on PRs that have changes in the VSCode extension folder or this workflow
# * Run on tags that start with "ext-v"
on:
push:
branches:
- main
tags:
- 'ext-v*'
pull_request:
paths:
- 'openhands/integrations/vscode/**'
- 'build_vscode.py'
- '.github/workflows/vscode-extension-build.yml'
# If triggered by a PR, it will be in the same group. However, each commit on main will be in its own unique group
concurrency:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
jobs:
# Validate VSCode extension builds correctly
validate-vscode-extension:
name: Validate VSCode Extension Build
runs-on: blacksmith-4vcpu-ubuntu-2204
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Set up Node.js
uses: useblacksmith/setup-node@v5
with:
node-version: '22'
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Install VSCode extension dependencies
working-directory: ./openhands/integrations/vscode
run: npm ci
- name: Build VSCode extension via build_vscode.py
run: python build_vscode.py
env:
# Ensure we don't skip the build
SKIP_VSCODE_BUILD: ""
- name: Validate .vsix file
run: |
# Verify the .vsix was created and is valid
if [ -f "openhands/integrations/vscode/openhands-vscode-0.0.1.vsix" ]; then
echo "✅ VSCode extension built successfully"
ls -la openhands/integrations/vscode/openhands-vscode-0.0.1.vsix
# Basic validation that the .vsix is a valid zip file
echo "🔍 Validating .vsix structure..."
file openhands/integrations/vscode/openhands-vscode-0.0.1.vsix
unzip -t openhands/integrations/vscode/openhands-vscode-0.0.1.vsix
echo "✅ VSCode extension validation passed"
else
echo "❌ VSCode extension build failed - .vsix not found"
exit 1
fi
- name: Upload VSCode extension artifact
uses: actions/upload-artifact@v4
with:
name: vscode-extension
path: openhands/integrations/vscode/openhands-vscode-0.0.1.vsix
retention-days: 7
- name: Comment on PR with artifact link
if: github.event_name == 'pull_request'
uses: actions/github-script@v7
with:
script: |
const fs = require('fs');
const path = require('path');
// Get file size for display
const vsixPath = 'openhands/integrations/vscode/openhands-vscode-0.0.1.vsix';
const stats = fs.statSync(vsixPath);
const fileSizeKB = Math.round(stats.size / 1024);
const comment = `## 🔧 VSCode Extension Built Successfully!
The VSCode extension has been built and is ready for testing.
**📦 Download**: [openhands-vscode-0.0.1.vsix](https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}) (${fileSizeKB} KB)
**🚀 To install**:
1. Download the artifact from the workflow run above
2. In VSCode: \`Ctrl+Shift+P\` → "Extensions: Install from VSIX..."
3. Select the downloaded \`.vsix\` file
**✅ Tested with**: Node.js 22
**🔍 Validation**: File structure and integrity verified
---
*Built from commit ${{ github.sha }}*`;
// Check if we already commented on this PR and delete it
const { data: comments } = await github.rest.issues.listComments({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.issue.number,
});
const botComment = comments.find(comment =>
comment.user.login === 'github-actions[bot]' &&
comment.body.includes('VSCode Extension Built Successfully')
);
if (botComment) {
await github.rest.issues.deleteComment({
owner: context.repo.owner,
repo: context.repo.repo,
comment_id: botComment.id,
});
}
// Create a new comment
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.issue.number,
body: comment
});
release:
name: Create GitHub Release
runs-on: blacksmith-4vcpu-ubuntu-2204
needs: validate-vscode-extension
if: startsWith(github.ref, 'refs/tags/ext-v')
steps:
- name: Download .vsix artifact
uses: actions/download-artifact@v4
with:
name: vscode-extension
path: ./
- name: Create Release
uses: ncipollo/release-action@v1.16.0
with:
artifacts: "*.vsix"
token: ${{ secrets.GITHUB_TOKEN }}
draft: true
allowUpdates: true

2
.gitignore vendored
View File

@@ -182,8 +182,6 @@ cython_debug/
.roo/rules
.cline/rules
.windsurf/rules
.repomix
repomix-output.txt
# evaluation
evaluation/evaluation_outputs

View File

@@ -121,7 +121,7 @@ A specialized prompt that enhances OpenHands with domain-specific knowledge, rep
A central repository of available microagents and their configurations.
#### Public Microagent
A general-purpose microagent available to all OpenHands users, triggered by specific keywords. Located in `microagents/`.
A general-purpose microagent available to all OpenHands users, triggered by specific keywords.
#### Repository Microagent
A type of microagent that provides repository-specific context and guidelines, stored in the `.openhands/microagents/` directory.

View File

@@ -15,13 +15,10 @@ 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).
* If you've made changes to the frontend, you should run `cd frontend && npm run lint:fix && npm run build ; cd ..`
* If you've made changes to the VSCode extension, you should run `cd openhands/integrations/vscode && npm run lint:fix && npm run compile ; cd ../../..`
The pre-commit hooks MUST pass successfully before pushing any changes to the repository. This is a mandatory requirement to maintain code quality and consistency.
@@ -63,22 +60,6 @@ Frontend:
- Mutation hooks should follow the pattern use[Action] (e.g., `useDeleteConversation`)
- Architecture rule: UI components → TanStack Query hooks → Data Access Layer (`frontend/src/api`) → API endpoints
VSCode Extension:
- Located in the `openhands/integrations/vscode` directory
- Setup: Run `npm install` in the extension directory
- Linting:
- Run linting with fixes: `npm run lint:fix`
- Check only: `npm run lint`
- Type checking: `npm run typecheck`
- Building:
- Compile TypeScript: `npm run compile`
- Package extension: `npm run package-vsix`
- Testing:
- Run tests: `npm run test`
- Development Best Practices:
- Use `vscode.window.createOutputChannel()` for debug logging instead of `showErrorMessage()` popups
- Pre-commit process runs both frontend and backend checks when committing extension changes
## Template for Github Pull Request
If you are starting a pull request (PR), please follow the template in `.github/pull_request_template.md`.
@@ -87,29 +68,6 @@ If you are starting a pull request (PR), please follow the template in `.github/
These details may or may not be useful for your current task.
### Microagents
Microagents are specialized prompts that enhance OpenHands with domain-specific knowledge and task-specific workflows. They are Markdown files that can include frontmatter for configuration.
#### Types:
- **Public Microagents**: Located in `microagents/`, available to all users
- **Repository Microagents**: Located in `.openhands/microagents/`, specific to this repository
#### Loading Behavior:
- **Without frontmatter**: Always loaded into LLM context
- **With triggers in frontmatter**: Only loaded when user's message matches the specified trigger keywords
#### Structure:
```yaml
---
triggers:
- keyword1
- keyword2
---
# Microagent Content
Your specialized knowledge and instructions here...
```
### Frontend
#### Action Handling:
@@ -137,65 +95,3 @@ Your specialized knowledge and instructions here...
2. Add the setting to the backend:
- 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)
### Adding New LLM Models
To add a new LLM model to OpenHands, you need to update multiple files across both frontend and backend:
#### Model Configuration Procedure:
1. **Frontend Model Arrays** (`frontend/src/utils/verified-models.ts`):
- Add the model to `VERIFIED_MODELS` array (main list of all verified models)
- Add to provider-specific arrays based on the model's provider:
- `VERIFIED_OPENAI_MODELS` for OpenAI models
- `VERIFIED_ANTHROPIC_MODELS` for Anthropic models
- `VERIFIED_MISTRAL_MODELS` for Mistral models
- `VERIFIED_OPENHANDS_MODELS` for models available through OpenHands provider
2. **Backend CLI Integration** (`openhands/cli/utils.py`):
- Add the model to the appropriate `VERIFIED_*_MODELS` arrays
- This ensures the model appears in CLI model selection
3. **Backend Model List** (`openhands/utils/llm.py`):
- **CRITICAL**: Add the model to the `openhands_models` list (lines 57-66) if using OpenHands provider
- This is required for the model to appear in the frontend model selector
- Format: `'openhands/model-name'` (e.g., `'openhands/o3'`)
4. **Backend LLM Configuration** (`openhands/llm/llm.py`):
- Add to feature-specific arrays based on model capabilities:
- `FUNCTION_CALLING_SUPPORTED_MODELS` if the model supports function calling
- `REASONING_EFFORT_SUPPORTED_MODELS` if the model supports reasoning effort parameters
- `CACHE_PROMPT_SUPPORTED_MODELS` if the model supports prompt caching
- `MODELS_WITHOUT_STOP_WORDS` if the model doesn't support stop words
5. **Validation**:
- Run backend linting: `pre-commit run --config ./dev_config/python/.pre-commit-config.yaml`
- Run frontend linting: `cd frontend && npm run lint:fix`
- Run frontend build: `cd frontend && npm run build`
#### Model Verification Arrays:
- **VERIFIED_MODELS**: Main array of all verified models shown in the UI
- **VERIFIED_OPENAI_MODELS**: OpenAI models (LiteLLM doesn't return provider prefix)
- **VERIFIED_ANTHROPIC_MODELS**: Anthropic models (LiteLLM doesn't return provider prefix)
- **VERIFIED_MISTRAL_MODELS**: Mistral models (LiteLLM doesn't return provider prefix)
- **VERIFIED_OPENHANDS_MODELS**: Models available through OpenHands managed provider
#### Model Feature Support Arrays:
- **FUNCTION_CALLING_SUPPORTED_MODELS**: Models that support structured function calling
- **REASONING_EFFORT_SUPPORTED_MODELS**: Models that support reasoning effort parameters (like o1, o3)
- **CACHE_PROMPT_SUPPORTED_MODELS**: Models that support prompt caching for efficiency
- **MODELS_WITHOUT_STOP_WORDS**: Models that don't support stop word parameters
#### Frontend Model Integration:
- Models are automatically available in the model selector UI once added to verified arrays
- The `extractModelAndProvider` utility automatically detects provider from model arrays
- Provider-specific models are grouped and prioritized in the UI selection
#### CLI Model Integration:
- Models appear in CLI provider selection based on the verified arrays
- The `organize_models_and_providers` function groups models by provider
- Default model selection prioritizes verified models for each provider

View File

@@ -31,7 +31,7 @@ We're always looking to improve the look and feel of the application. If you've
for something that's bugging you, feel free to open up a PR that changes the [`./frontend`](./frontend) directory.
If you're looking to make a bigger change, add a new UI element, or significantly alter the style
of the application, please open an issue first, or better, join the #eng-ui-ux channel in our Slack
of the application, please open an issue first, or better, join the #frontend channel in our Slack
to gather consensus from our design team first.
#### Improving the agent

View File

@@ -159,7 +159,7 @@ poetry run pytest ./tests/unit/test_*.py
To reduce build time (e.g., if no changes were made to the client-runtime component), you can use an existing Docker
container image by setting the SANDBOX_RUNTIME_CONTAINER_IMAGE environment variable to the desired Docker image.
Example: `export SANDBOX_RUNTIME_CONTAINER_IMAGE=ghcr.io/all-hands-ai/runtime:0.49-nikolaik`
Example: `export SANDBOX_RUNTIME_CONTAINER_IMAGE=ghcr.io/all-hands-ai/runtime:0.45-nikolaik`
## Develop inside Docker container

View File

@@ -11,7 +11,7 @@
<a href="https://github.com/All-Hands-AI/OpenHands/stargazers"><img src="https://img.shields.io/github/stars/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Stargazers"></a>
<a href="https://github.com/All-Hands-AI/OpenHands/blob/main/LICENSE"><img src="https://img.shields.io/github/license/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="MIT License"></a>
<br/>
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-3847of6xi-xuYJIPa6YIPg4ElbDWbtSA"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="Join our Slack community"></a>
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-34zm4j0gj-Qz5kRHoca8DFCbqXPS~f_A"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="Join our Slack community"></a>
<a href="https://discord.gg/ESHStjSjD4"><img src="https://img.shields.io/badge/Discord-Join%20Us-purple?logo=discord&logoColor=white&style=for-the-badge" alt="Join our Discord community"></a>
<a href="https://github.com/All-Hands-AI/OpenHands/blob/main/CREDITS.md"><img src="https://img.shields.io/badge/Project-Credits-blue?style=for-the-badge&color=FFE165&logo=github&logoColor=white" alt="Credits"></a>
<br/>
@@ -48,7 +48,7 @@ Learn more at [docs.all-hands.dev](https://docs.all-hands.dev), or [sign up for
## ☁️ OpenHands Cloud
The easiest way to get started with OpenHands is on [OpenHands Cloud](https://app.all-hands.dev),
which comes with $20 in free credits for new users.
which comes with $50 in free credits for new users.
## 💻 Running OpenHands Locally
@@ -62,17 +62,17 @@ system requirements and more information.
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.45-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.45-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:0.49
docker.all-hands.dev/all-hands-ai/openhands:0.45
```
> **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.
@@ -85,14 +85,15 @@ works best, but you have [many options](https://docs.all-hands.dev/usage/llms).
## 💡 Other ways to run OpenHands
> [!WARNING]
> [!CAUTION]
> OpenHands is meant to be run by a single user on their local workstation.
> It is not appropriate for multi-tenant deployments where multiple users share the same instance. There is no built-in authentication, isolation, or scalability.
>
> If you're interested in running OpenHands in a multi-tenant environment, check out the source-available, commercially-licensed
> [OpenHands Cloud Helm Chart](https://github.com/all-Hands-AI/OpenHands-cloud)
> If you're interested in running OpenHands in a multi-tenant environment, please
> [get in touch with us](https://docs.google.com/forms/d/e/1FAIpQLSet3VbGaz8z32gW9Wm-Grl4jpt5WgMXPgJ4EDPVmCETCBpJtQ/viewform)
> for advanced deployment options.
You can [connect OpenHands to your local filesystem](https://docs.all-hands.dev/usage/runtimes/docker#connecting-to-your-filesystem),
You can also [connect OpenHands to your local filesystem](https://docs.all-hands.dev/usage/runtimes/docker#connecting-to-your-filesystem),
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).
@@ -117,7 +118,7 @@ troubleshooting resources, and advanced configuration options.
OpenHands is a community-driven project, and we welcome contributions from everyone. We do most of our communication
through Slack, so this is the best place to start, but we also are happy to have you contact us on Discord or Github:
- [Join our Slack workspace](https://join.slack.com/t/openhands-ai/shared_invite/zt-3847of6xi-xuYJIPa6YIPg4ElbDWbtSA) - Here we talk about research, architecture, and future development.
- [Join our Slack workspace](https://join.slack.com/t/openhands-ai/shared_invite/zt-34zm4j0gj-Qz5kRHoca8DFCbqXPS~f_A) - Here we talk about research, architecture, and future development.
- [Join our Discord server](https://discord.gg/ESHStjSjD4) - This is a community-run server for general discussion, questions, and feedback.
- [Read or post Github Issues](https://github.com/All-Hands-AI/OpenHands/issues) - Check out the issues we're working on, or add your own ideas.

View File

@@ -12,7 +12,7 @@
<a href="https://github.com/All-Hands-AI/OpenHands/stargazers"><img src="https://img.shields.io/github/stars/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Stargazers"></a>
<a href="https://github.com/All-Hands-AI/OpenHands/blob/main/LICENSE"><img src="https://img.shields.io/github/license/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="MIT License"></a>
<br/>
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-3847of6xi-xuYJIPa6YIPg4ElbDWbtSA"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="加入我们的Slack社区"></a>
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-34zm4j0gj-Qz5kRHoca8DFCbqXPS~f_A"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="加入我们的Slack社区"></a>
<a href="https://discord.gg/ESHStjSjD4"><img src="https://img.shields.io/badge/Discord-Join%20Us-purple?logo=discord&logoColor=white&style=for-the-badge" alt="加入我们的Discord社区"></a>
<a href="https://github.com/All-Hands-AI/OpenHands/blob/main/CREDITS.md"><img src="https://img.shields.io/badge/Project-Credits-blue?style=for-the-badge&color=FFE165&logo=github&logoColor=white" alt="致谢"></a>
<br/>
@@ -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:0.49-nikolaik
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.45-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.45-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:0.49
docker.all-hands.dev/all-hands-ai/openhands:0.45
```
> **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。
@@ -107,7 +107,7 @@ docker run -it --rm --pull=always \
OpenHands是一个社区驱动的项目我们欢迎每个人的贡献。我们大部分沟通
通过Slack进行因此这是开始的最佳场所但我们也很乐意您通过Discord或Github与我们联系
- [加入我们的Slack工作空间](https://join.slack.com/t/openhands-ai/shared_invite/zt-3847of6xi-xuYJIPa6YIPg4ElbDWbtSA) - 这里我们讨论研究、架构和未来发展。
- [加入我们的Slack工作空间](https://join.slack.com/t/openhands-ai/shared_invite/zt-34zm4j0gj-Qz5kRHoca8DFCbqXPS~f_A) - 这里我们讨论研究、架构和未来发展。
- [加入我们的Discord服务器](https://discord.gg/ESHStjSjD4) - 这是一个社区运营的服务器,用于一般讨论、问题和反馈。
- [阅读或发布Github问题](https://github.com/All-Hands-AI/OpenHands/issues) - 查看我们正在处理的问题,或添加您自己的想法。

View File

@@ -10,7 +10,7 @@
<a href="https://github.com/All-Hands-AI/OpenHands/stargazers"><img src="https://img.shields.io/github/stars/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Stargazers"></a>
<a href="https://github.com/All-Hands-AI/OpenHands/blob/main/LICENSE"><img src="https://img.shields.io/github/license/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="MIT License"></a>
<br/>
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-3847of6xi-xuYJIPa6YIPg4ElbDWbtSA"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="Slackコミュニティに参加"></a>
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-34zm4j0gj-Qz5kRHoca8DFCbqXPS~f_A"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="Slackコミュニティに参加"></a>
<a href="https://discord.gg/ESHStjSjD4"><img src="https://img.shields.io/badge/Discord-Join%20Us-purple?logo=discord&logoColor=white&style=for-the-badge" alt="Discordコミュニティに参加"></a>
<a href="https://github.com/All-Hands-AI/OpenHands/blob/main/CREDITS.md"><img src="https://img.shields.io/badge/Project-Credits-blue?style=for-the-badge&color=FFE165&logo=github&logoColor=white" alt="クレジット"></a>
<br/>
@@ -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:0.49-nikolaik
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.45-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.45-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:0.49
docker.all-hands.dev/all-hands-ai/openhands:0.45
```
**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

@@ -1,114 +0,0 @@
import os
import pathlib
import subprocess
# This script is intended to be run by Poetry during the build process.
# Define the expected name of the .vsix file based on the extension's package.json
# This should match the name and version in openhands-vscode/package.json
EXTENSION_NAME = 'openhands-vscode'
EXTENSION_VERSION = '0.0.1'
VSIX_FILENAME = f'{EXTENSION_NAME}-{EXTENSION_VERSION}.vsix'
# Paths
ROOT_DIR = pathlib.Path(__file__).parent.resolve()
VSCODE_EXTENSION_DIR = ROOT_DIR / 'openhands' / 'integrations' / 'vscode'
def check_node_version():
"""Check if Node.js version is sufficient for building the extension."""
try:
result = subprocess.run(
['node', '--version'], capture_output=True, text=True, check=True
)
version_str = result.stdout.strip()
# Extract major version number (e.g., "v12.22.9" -> 12)
major_version = int(version_str.lstrip('v').split('.')[0])
return major_version >= 18 # Align with frontend actual usage (18.20.1)
except (subprocess.CalledProcessError, FileNotFoundError, ValueError):
return False
def build_vscode_extension():
"""Builds the VS Code extension."""
vsix_path = VSCODE_EXTENSION_DIR / VSIX_FILENAME
# Check if VSCode extension build is disabled via environment variable
if os.environ.get('SKIP_VSCODE_BUILD', '').lower() in ('1', 'true', 'yes'):
print('--- Skipping VS Code extension build (SKIP_VSCODE_BUILD is set) ---')
if vsix_path.exists():
print(f'--- Using existing VS Code extension: {vsix_path} ---')
else:
print('--- No pre-built VS Code extension found ---')
return
# Check Node.js version - if insufficient, use pre-built extension as fallback
if not check_node_version():
print('--- Warning: Node.js version < 18 detected or Node.js not found ---')
print('--- Skipping VS Code extension build (requires Node.js >= 18) ---')
print('--- Using pre-built extension if available ---')
if not vsix_path.exists():
print('--- Warning: No pre-built VS Code extension found ---')
print('--- VS Code extension will not be available ---')
else:
print(f'--- Using pre-built VS Code extension: {vsix_path} ---')
return
print(f'--- Building VS Code extension in {VSCODE_EXTENSION_DIR} ---')
try:
# Ensure npm dependencies are installed
print('--- Running npm install for VS Code extension ---')
subprocess.run(
['npm', 'install'],
cwd=VSCODE_EXTENSION_DIR,
check=True,
shell=os.name == 'nt',
)
# Package the extension
print(f'--- Packaging VS Code extension ({VSIX_FILENAME}) ---')
subprocess.run(
['npm', 'run', 'package-vsix'],
cwd=VSCODE_EXTENSION_DIR,
check=True,
shell=os.name == 'nt',
)
# Verify the generated .vsix file exists
if not vsix_path.exists():
raise FileNotFoundError(
f'VS Code extension package not found after build: {vsix_path}'
)
print(f'--- VS Code extension built successfully: {vsix_path} ---')
except subprocess.CalledProcessError as e:
print(f'--- Warning: Failed to build VS Code extension: {e} ---')
print('--- Continuing without building extension ---')
if not vsix_path.exists():
print('--- Warning: No pre-built VS Code extension found ---')
print('--- VS Code extension will not be available ---')
def build(setup_kwargs):
"""
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) ---')
# Build the VS Code extension and place the .vsix file
build_vscode_extension()
# Poetry will handle including files based on pyproject.toml `include` patterns.
# Ensure openhands/integrations/vscode/*.vsix is included there.
print('--- Custom Poetry build script (build_vscode.py) finished ---')
if __name__ == '__main__':
print('Running build_vscode.py directly for testing VS Code extension packaging...')
build_vscode_extension()
print('Direct execution of build_vscode.py finished.')

View File

@@ -10,7 +10,18 @@
# General core configurations
##############################################################################
[core]
# API keys and configuration for core services
# API key for E2B
#e2b_api_key = ""
# API key for Modal
#modal_api_token_id = ""
#modal_api_token_secret = ""
# API key for Daytona
#daytona_api_key = ""
# Daytona Target
#daytona_target = ""
# Base path for the workspace
#workspace_base = "./workspace"
@@ -18,6 +29,9 @@
# Cache directory path
#cache_dir = "/tmp/cache"
# Reasoning effort for o1 models (low, medium, high, or not set)
#reasoning_effort = "medium"
# Debugging enabled
#debug = false
@@ -46,9 +60,6 @@
# Maximum file size for uploads, in megabytes
#file_uploads_max_file_size_mb = 0
# Enable the browser environment
#enable_browser = true
# Maximum budget per task, 0.0 means no limit
#max_budget_per_task = 0.0
@@ -116,9 +127,6 @@ api_key = ""
# API version
#api_version = ""
# Reasoning effort for OpenAI o-series models (low, medium, high, or not set)
#reasoning_effort = "medium"
# Cost per input token
#input_cost_per_token = 0.0
@@ -193,27 +201,6 @@ model = "gpt-4o"
#native_tool_calling = None
# Safety settings for models that support them (e.g., Mistral AI, Gemini)
# Example for Mistral AI:
# safety_settings = [
# { "category" = "hate", "threshold" = "low" },
# { "category" = "harassment", "threshold" = "low" },
# { "category" = "sexual", "threshold" = "low" },
# { "category" = "dangerous", "threshold" = "low" }
# ]
#
# Example for Gemini:
# safety_settings = [
# { "category" = "HARM_CATEGORY_HARASSMENT", "threshold" = "BLOCK_NONE" },
# { "category" = "HARM_CATEGORY_HATE_SPEECH", "threshold" = "BLOCK_NONE" },
# { "category" = "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold" = "BLOCK_NONE" },
# { "category" = "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold" = "BLOCK_NONE" }
# ]
#safety_settings = []
[llm.draft_editor]
# The number of times llm_editor tries to fix an error when editing.
correct_num = 5
[llm.gpt4o-mini]
api_key = ""
@@ -229,7 +216,6 @@ model = "gpt-4o"
[agent]
# Whether the browsing tool is enabled
# Note: when this is set to true, enable_browser in the core config must also be true
enable_browsing = true
# Whether the LLM draft editor is enabled
@@ -264,9 +250,6 @@ enable_finish = true
# length limit
enable_history_truncation = true
# Whether the condensation request tool is enabled
enable_condensation_request = false
[agent.RepoExplorerAgent]
# Example: use a cheaper model for RepoExplorerAgent to reduce cost, especially
# useful when an agent doesn't demand high quality but uses a lot of tokens
@@ -335,9 +318,6 @@ classpath = "my_package.my_module.MyCustomAgent"
# Enable GPU support in the runtime
#enable_gpu = false
# When there are multiple cards, you can specify the GPU by ID
#cuda_visible_devices = ''
# Additional Docker runtime kwargs
#docker_runtime_kwargs = {}

View File

@@ -1,5 +1,5 @@
ARG OPENHANDS_BUILD_VERSION=dev
FROM node:24.3.0-bookworm-slim AS frontend-builder
FROM node:22.16.0-bookworm-slim AS frontend-builder
WORKDIR /app
@@ -45,7 +45,6 @@ ENV OPENHANDS_BUILD_VERSION=$OPENHANDS_BUILD_VERSION
ENV SANDBOX_USER_ID=0
ENV FILE_STORE=local
ENV FILE_STORE_PATH=/.openhands
ENV INIT_GIT_IN_EMPTY_WORKSPACE=1
RUN mkdir -p $FILE_STORE_PATH
RUN mkdir -p $WORKSPACE_BASE

View File

@@ -12,7 +12,7 @@ services:
- SANDBOX_API_HOSTNAME=host.docker.internal
- DOCKER_HOST_ADDR=host.docker.internal
#
- SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-ghcr.io/all-hands-ai/runtime:0.49-nikolaik}
- SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-ghcr.io/all-hands-ai/runtime:0.45-nikolaik}
- SANDBOX_USER_ID=${SANDBOX_USER_ID:-1234}
- WORKSPACE_MOUNT_PATH=${WORKSPACE_BASE:-$PWD/workspace}
ports:

View File

@@ -1,4 +1,4 @@
FROM ubuntu:24.04
FROM ubuntu:22.04
# install basic packages
RUN apt-get update && apt-get install -y \

View File

@@ -3,9 +3,9 @@ repos:
rev: v5.0.0
hooks:
- id: trailing-whitespace
exclude: ^(docs/|modules/|python/|openhands-ui/|third_party/)
exclude: docs/modules/python
- id: end-of-file-fixer
exclude: ^(docs/|modules/|python/|openhands-ui/|third_party/)
exclude: docs/modules/python
- id: check-yaml
args: ["--allow-multiple-documents"]
- id: debug-statements
@@ -28,19 +28,17 @@ repos:
entry: ruff check --config dev_config/python/ruff.toml
types_or: [python, pyi, jupyter]
args: [--fix, --unsafe-fixes]
exclude: third_party/
# Run the formatter.
- id: ruff-format
entry: ruff format --config dev_config/python/ruff.toml
types_or: [python, pyi, jupyter]
exclude: third_party/
- repo: https://github.com/pre-commit/mirrors-mypy
rev: v1.15.0
hooks:
- id: mypy
additional_dependencies:
[types-requests, types-setuptools, types-pyyaml, types-toml, types-docker, pydantic, lxml]
[types-requests, types-setuptools, types-pyyaml, types-toml, types-docker, lxml]
# To see gaps add `--html-report mypy-report/`
entry: mypy --config-file dev_config/python/mypy.ini openhands/
always_run: true

View File

@@ -7,9 +7,3 @@ warn_unreachable = True
warn_redundant_casts = True
no_implicit_optional = True
strict_optional = True
# Exclude third-party runtime directory from type checking
exclude = third_party/
[mypy-openhands.memory.condenser.impl.*]
disable_error_code = override

View File

@@ -1,6 +1,3 @@
# Exclude third-party runtime directory from linting
exclude = ["third_party/"]
[lint]
select = [
"E",

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:0.49-nikolaik}
- SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-docker.all-hands.dev/all-hands-ai/runtime:0.45-nikolaik}
#- SANDBOX_USER_ID=${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

@@ -26,7 +26,7 @@
"usage/installation",
"usage/getting-started",
"usage/key-features",
"usage/faqs",
"usage/faq",
{
"group": "OpenHands Cloud",
"pages": [
@@ -34,7 +34,6 @@
{
"group": "Integrations",
"pages": [
"usage/cloud/bitbucket-installation",
"usage/cloud/github-installation",
"usage/cloud/gitlab-installation",
"usage/cloud/slack-installation"
@@ -45,7 +44,7 @@
]
},
{
"group": "Run OpenHands on Your Own",
"group": "Running OpenHands on Your Own",
"pages": [
"usage/local-setup",
"usage/how-to/gui-mode",
@@ -67,9 +66,7 @@
"usage/llms/groq",
"usage/llms/local-llms",
"usage/llms/litellm-proxy",
"usage/llms/moonshot",
"usage/llms/openai-llms",
"usage/llms/openhands-llms",
"usage/llms/openrouter"
]
}
@@ -107,9 +104,8 @@
]
},
{
"group": "Customizations & Settings",
"group": "Customization",
"pages": [
"usage/common-settings",
"usage/prompting/repository",
{
"group": "Microagents",
@@ -154,12 +150,6 @@
}
]
},
{
"tab": "Success Stories",
"pages": [
"success-stories/index"
]
},
{
"tab": "API Reference",
"openapi": "/openapi.json"
@@ -199,7 +189,7 @@
},
"footer": {
"socials": {
"slack": "https://join.slack.com/t/openhands-ai/shared_invite/zt-3847of6xi-xuYJIPa6YIPg4ElbDWbtSA",
"slack": "https://join.slack.com/t/openhands-ai/shared_invite/zt-34zm4j0gj-Qz5kRHoca8DFCbqXPS~f_A",
"github": "https://github.com/All-Hands-AI/OpenHands",
"discord": "https://discord.gg/ESHStjSjD4"
}

View File

@@ -1827,11 +1827,6 @@
"updated_at": {
"type": "string",
"format": "date-time"
},
"owner_type": {
"type": "string",
"enum": ["user", "organization"],
"nullable": true
}
}
},

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@@ -1,217 +0,0 @@
---
title: "Success Stories"
description: "Real-world examples of what you can achieve with OpenHands"
---
Discover how developers and teams are using OpenHands to automate their software development workflows. From quick fixes to complex projects, see what's possible with AI-powered development assistance.
Check out the [#success-stories](https://www.linen.dev/s/openhands/c/success-stories) channel on our Slack for more!
<Update label="2025-06-13 OpenHands helps frontline support" description="@Joe Pelletier">
## One of the cool things about OpenHands, and especially the Slack Integration, is the ability to empower folks who are on the front lines with customers.
For example, often times Support and Customer Success teams will field bug reports, doc questions, and other nits from customers. They tend to have few options to deal with this, other than file a feedback ticket with product teams and hope it gets prioritized in an upcoming sprint.
Instead, with tools like OpenHands and the Slack integration, they can request OpenHands to make fixes proactively and then have someone on the engineering team (like a lead engineer, a merge engineer, or even technical product manager) review the PR and approve it — thus reducing the cycle time for quick wins from weeks to just a few hours.
Here's how we do that with the OpenHands project:
<iframe
width="560"
height="560"
src="https://www.linen.dev/s/openhands/t/29118545/seems-mcp-config-from-config-toml-is-being-overwritten-hence#629f8e2b-cde8-427e-920c-390557a06cc9"
frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
allowfullscreen
></iframe>
[Original Slack thread](https://www.linen.dev/s/openhands/t/29124350/one-of-the-cool-things-about-openhands-and-especially-the-sl#25029f37-7b0d-4535-9187-83b3e06a4011)
</Update>
<Update label="2025-06-13 Ask OpenHands to show me some love" description="@Graham Neubig">
## Asked openhands to “show me some love” and...
Asked openhands to “show me some love” and it coded up this app for me, actually kinda genuinely feel loved
<video
controls
autoplay
className="w-full aspect-video"
src="/success-stories/stories/2025-06-13-show-love/v1.mp4"
></video>
[Original Slack thread](https://www.linen.dev/s/openhands/t/29100731/asked-openhands-to-show-me-some-love-and-it-coded-up-this-ap#1e08af6b-b7d5-4167-8a53-17e6806555e0)
</Update>
<Update label="2025-06-11 OpenHands does 100% of my infra IAM research for me" description="@Xingyao Wang">
## Now, OpenHands does 100% of my infra IAM research for me
Got an IAM error on GCP? Send a screenshot to OH... and it just works!!!
Can't imagine going back to the early days without OH: I'd spend an entire afternoon figuring how to get IAM right
[Original Slack thread](https://www.linen.dev/s/openhands/t/29100732/now-openhands-does-100-of-my-infra-iam-research-for-me-sweat#20482a73-4e2e-4edd-b6d1-c9e8442fccd1)
![](/success-stories/stories/2025-06-11-infra-iam/s1.png)
![](/success-stories/stories/2025-06-11-infra-iam/s2.png)
</Update>
<Update label="2025-06-08 OpenHands builds an interactive map for me" description="@Rodrigo Argenton Freire (ODLab)">
## Very simple example, but baby steps....
I am a professor of architecture and urban design. We built, me and some students, an interactive map prototype to help visitors and new students to find important places in the campus. Considering that we lack a lot of knowledge in programming, that was really nice to build and a smooth process.
We first created the main components with all-hands and then adjusted some details locally. Definitely, saved us a lot of time and money.
That's a prototype but we will have all the info by tuesday.
https://buriti-emau.github.io/Mapa-UFU/
[Original Slack thread](https://www.linen.dev/s/openhands/t/29100736/very-simple-example-but-baby-steps-i-am-a-professor-of-archi#8f2e3f3f-44e6-44ea-b9a8-d53487470179)
![](/success-stories/stories/2025-06-08-map/s1.png)
</Update>
<Update label="2025-06-06 Web Search Saves the Day" description="@Ian Walker">
## Tavily adapter helps solve persistent debugging issue
Big congratulations to the new [Tavily adapter](https://www.all-hands.dev/blog/building-a-provably-versatile-agent)... OpenHands and I have been beavering away at a Lightstreamer client library for most of this week but were getting a persistent (and unhelpful) "unexpected error" from the server.
Coming back to the problem today, after trying several unsuccessful fixes prompted by me, OH decided all by itself to search the web, and found the cause of the problem (of course it was simply CRLF line endings...). I was on the verge of giving up - good thing OH has more stamina than me!
This demonstrates how OpenHands' web search capabilities can help solve debugging issues that would otherwise require extensive manual research.
<iframe
width="560"
height="560"
src="https://www.linen.dev/s/openhands/t/29100737/big-congratulations-to-the-new-tavily-adapter-openhands-and-#87b027e5-188b-425e-8aa9-719dcb4929f4"
title="YouTube video player"
frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
allowfullscreen
></iframe>
[Original Slack thread](https://www.linen.dev/s/openhands/t/29100737/big-congratulations-to-the-new-tavily-adapter-openhands-and-#76f1fb26-6ef7-4709-b9ea-fb99105e47e4)
</Update>
<Update label="2025-06-05 OpenHands updates my personal website for a new paper" description="@Xingyao Wang">
## I asked OpenHands to update my personal website for the "OpenHands Versa" paper.
It is an extremely trivial task: You just need to browse to arxiv, copy the author names, format them for BibTeX, and then modify the papers.bib file. But now I'm getting way too lazy to even open my IDE and actually do this one-file change!
[Original Tweet/X thread](https://x.com/xingyaow_/status/1930796287919542410)
[Original Slack thread](https://www.linen.dev/s/openhands/t/29100738/i-asked-openhands-to-update-my-personal-website-for-the-open#f0324022-b12b-4d34-b12b-bdbc43823f69)
</Update>
<Update label="2025-06-02 OpenHands makes an animated gif of swe-bench verified scores over time" description="@Graham Neubig">
## I asked OpenHands to make an animated gif of swe-bench verified scores over time.
It took a bit of prompting but ended up looking pretty nice I think
<video width="560" height="315" autoPlay loop muted src="/success-stories/stories/2025-06-02-swebench-score/s1.mp4"></video>
[Original Slack thread](https://www.linen.dev/s/openhands/t/29100744/i-asked-openhands-to-make-an-animated-gif-of-swe-bench-verif#fb3b82c9-6222-4311-b97b-b2ac1cfe6dff)
</Update>
<Update label="2025-05-30 AWS Troubleshooting" description="@Graham Neubig">
## Quick AWS security group fix
I really don't like trying to fix issues with AWS, especially security groups and other finicky things like this. But I started up an instance and wasn't able to ssh in. So I asked OpenHands:
> Currently, the following ssh command is timing out:
>
> $ ssh -i gneubig.pem ubuntu@XXX.us-east-2.compute.amazonaws.com
> ssh: connect to host XXX.us-east-2.compute.amazonaws.com port 22: Operation timed out
>
> Use the provided AWS credentials to take a look at i-XXX and examine why
And 2 minutes later I was able to SSH in!
This shows how OpenHands can quickly diagnose and fix AWS infrastructure issues that would normally require manual investigation.
[Original Slack thread](https://www.linen.dev/s/openhands/t/29100747/i-really-don-t-like-trying-to-fix-issues-with-aws-especially#d92a66d2-3bc1-4467-9d09-dc983004d083)
</Update>
<Update label="2025-05-04 Chrome Extension Development" description="@Xingyao Wang">
## OpenHands builds Chrome extension for GitHub integration
I asked OpenHands to write a Chrome extension based on our [OpenHands Cloud API](https://docs.all-hands.dev/modules/usage/cloud/cloud-api). Once installed, you can now easily launch an OpenHands cloud session from your GitHub webpage/PR!
This demonstrates OpenHands' ability to create browser extensions and integrate with external APIs, enabling seamless workflows between GitHub and OpenHands Cloud.
![Chrome extension](/success-stories/stories/2025-05-04-chrome-extension/s1.png)
![Chrome extension](/success-stories/stories/2025-05-04-chrome-extension/s2.png)
[GitHub Repository](https://github.com/xingyaoww/openhands-chrome-extension)
[Original Slack thread](https://www.linen.dev/s/openhands/t/29100755/i-asked-openhands-to-write-a-chrome-extension-based-on-our-h#88f14b7f-f8ff-40a6-83c2-bd64e95924c5)
</Update>
<Update label="2025-04-11 Visual UI Testing" description="@Xingyao Wang">
## OpenHands tests UI automatically with visual browsing
Thanks to visual browsing -- OpenHands can actually test some simple UI by serving the website, clicking the button in the browser and looking at screenshots now!
Prompt is just:
```
I want to create a Hello World app in Javascript that:
* Displays Hello World in the middle.
* Has a button that when clicked, changes the greeting with a bouncing animation to fun versions of Hello.
* Has a counter for how many times the button has been clicked.
* Has another button that changes the app's background color.
```
Eager-to-work Sonnet 3.7 will test stuff for you without you asking!
This showcases OpenHands' visual browsing capabilities, enabling it to create, serve, and automatically test web applications through actual browser interactions and screenshot analysis.
![Visual UI testing](/success-stories/stories/2025-04-11-visual-ui/s1.png)
[Original Slack thread](https://www.linen.dev/s/openhands/t/29100764/thanks-to-u07k0p3bdb9-s-visual-browsing-openhands-can-actual#21beb9bc-1a04-4272-87e9-4d3e3b9925e7)
</Update>
<Update label="2025-03-07 Proactive Error Handling" description="@Graham Neubig">
## OpenHands fixes crashes before you notice them
Interesting story, I asked OpenHands to start an app on port 12000, it showed up on the app pane. I started using the app, and then it crashed... But because it crashed in OpenHands, OpenHands immediately saw the error message and started fixing the problem without me having to do anything. It was already fixing the problem before I even realized what was going wrong.
This demonstrates OpenHands' proactive monitoring capabilities - it doesn't just execute commands, but actively watches for errors and begins remediation automatically, often faster than human reaction time.
</Update>
<Update label="2024-12-03 Creative Design Acceleration" description="@Rohit Malhotra">
## Pair programming for interactive design projects
Used OpenHands as a pair programmer to do heavy lifting for a creative/interactive design project in p5js.
I usually take around 2 days for high fidelity interactions (planning strategy + writing code + circling back with designer), did this in around 5hrs instead with the designer watching curiously the entire time.
This showcases how OpenHands can accelerate creative and interactive design workflows, reducing development time by 75% while maintaining high quality output.
[Original Tweet](https://x.com/rohit_malh5/status/1863995531657425225)
</Update>

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@@ -1,25 +0,0 @@
---
title: Bitbucket Integration
description: This guide walks you through the process of installing OpenHands Cloud for your Bitbucket repositories. Once
set up, it will allow OpenHands to work with your Bitbucket repository.
---
## Prerequisites
- Signed in to [OpenHands Cloud](https://app.all-hands.dev) with [a Bitbucket account](/usage/cloud/openhands-cloud).
## Adding Bitbucket Repository Access
Upon signing into OpenHands Cloud with a Bitbucket account, OpenHands will have access to your repositories.
## Working With Bitbucket Repos in Openhands Cloud
After signing in with a Bitbucket account, use the `select a repo` and `select a branch` dropdowns to select the
appropriate repository and branch you'd like OpenHands to work on. Then click on `Launch` to start the conversation!
![Connect Repo](/static/img/connect-repo-no-github.png)
## Next Steps
- [Learn about the Cloud UI](/usage/cloud/cloud-ui).
- [Use the Cloud API](/usage/cloud/cloud-api) to programmatically interact with OpenHands.

View File

@@ -1,7 +1,7 @@
---
title: Cloud UI
description: The Cloud UI provides a web interface for interacting with OpenHands. This page provides references on
how to use the OpenHands Cloud UI.
description: The Cloud UI provides a web interface for interacting with OpenHands. This page explains how to use the
OpenHands Cloud UI.
---
## Landing Page
@@ -9,9 +9,8 @@ description: The Cloud UI provides a web interface for interacting with OpenHand
The landing page is where you can:
- [Add GitHub repository access](/usage/cloud/github-installation#adding-github-repository-access) to OpenHands.
- [Select a GitHub repo](/usage/cloud/github-installation#working-with-github-repos-in-openhands-cloud),
[a GitLab repo](/usage/cloud/gitlab-installation#working-with-gitlab-repos-in-openhands-cloud) or
[a Bitbucket repo](/usage/cloud/bitbucket-installation#working-with-bitbucket-repos-in-openhands-cloud) to start working on.
- [Select a GitHub repo](/usage/cloud/github-installation#working-with-github-repos-in-openhands-cloud) or
[a GitLab repo](/usage/cloud/gitlab-installation#working-with-gitlab-repos-in-openhands-cloud) to start working on.
- See `Suggested Tasks` for repositories that OpenHands has access to.
- Launch an empty conversation using `Launch from Scratch`.
@@ -20,12 +19,10 @@ The landing page is where you can:
The Settings page allows you to:
- [Configure GitHub repository access](/usage/cloud/github-installation#modifying-repository-access) for OpenHands.
- [Install the OpenHands Slack app](/usage/cloud/slack-installation).
- Set application settings like your preferred language, notifications and other preferences.
- Add credits to your account.
- [Generate custom secrets](/usage/common-settings#secrets-management).
- [Create API keys to work with OpenHands programmatically](/usage/cloud/cloud-api).
- Change your email address.
- Generate custom secrets.
- Create API keys to work with OpenHands programmatically.
## Key Features

View File

@@ -51,7 +51,8 @@ Giving GitHub repository access to OpenHands also allows you to work on GitHub i
### Working with Issues
On your repository, label an issue with `openhands` or add a message starting with `@openhands`. OpenHands will:
On your repository, label an issue with `openhands` or add a message starting with
`@openhands`. OpenHands will:
1. Comment on the issue to let you know it is working on it.
- You can click on the link to track the progress on OpenHands Cloud.
2. Open a pull request if it determines that the issue has been successfully resolved.
@@ -64,8 +65,6 @@ To get OpenHands to work on pull requests, mention `@openhands` in the comments
- Request updates
- Get code explanations
**Important Note**: The `@openhands` mention functionality in pull requests only works if the pull request is both *to* and *from* a repository that you have added through the interface. This is because OpenHands needs appropriate permissions to access both repositories.
## Next Steps
- [Learn about the Cloud UI](/usage/cloud/cloud-ui).

View File

@@ -1,7 +1,7 @@
---
title: GitLab Integration
description: This guide walks you through the process of installing OpenHands Cloud for your GitLab repositories. Once
set up, it will allow OpenHands to work with your GitLab repository through the Cloud UI or straight from GitLab!.
set up, it will allow OpenHands to work with your GitLab repository.
---
## Prerequisites
@@ -17,7 +17,7 @@ Upon signing into OpenHands Cloud with a GitLab account, OpenHands will have acc
After signing in with a Gitlab account, use the `select a repo` and `select a branch` dropdowns to select the
appropriate repository and branch you'd like OpenHands to work on. Then click on `Launch` to start the conversation!
![Connect Repo](/static/img/connect-repo-no-github.png)
![Connect Repo](/static/img/connect-repo.png)
## Using Tokens with Reduced Scopes
@@ -25,33 +25,6 @@ OpenHands requests an API-scoped token during OAuth authentication. By default,
To restrict the agent's permissions, you can define a custom secret `GITLAB_TOKEN`, which will override the default token assigned to the agent.
While the high-permission API token is still requested and used for other components of the application (e.g. opening merge requests), the agent will not have access to it.
## Working on GitLab Issues and Merge Requests Using Openhands
<Note>
This feature works for personal projects and is available for group projects with a
[Premium or Ultimate tier subscription](https://docs.gitlab.com/user/project/integrations/webhooks/#group-webhooks).
A webhook is automatically installed within a few minutes after the owner/maintainer of the project or group logs into
OpenHands Cloud. If you decide to delete the webhook, then re-installing will require the support of All Hands AI but we are planning to improve this in a future release.
</Note>
Giving GitLab repository access to OpenHands also allows you to work on GitLab issues and merge requests directly.
### Working with Issues
On your repository, label an issue with `openhands` or add a message starting with `@openhands`. OpenHands will:
1. Comment on the issue to let you know it is working on it.
- You can click on the link to track the progress on OpenHands Cloud.
2. Open a merge request if it determines that the issue has been successfully resolved.
3. Comment on the issue with a summary of the performed tasks and a link to the PR.
### Working with Merge Requests
To get OpenHands to work on merge requests, mention `@openhands` in the comments to:
- Ask questions
- Request updates
- Get code explanations
## Next Steps
- [Learn about the Cloud UI](/usage/cloud/cloud-ui).

View File

@@ -8,9 +8,9 @@ description: Getting started with OpenHands Cloud.
OpenHands Cloud is the hosted cloud version of All Hands AI's OpenHands. To get started with OpenHands Cloud,
visit [app.all-hands.dev](https://app.all-hands.dev).
You'll be prompted to connect with your GitHub, GitLab or Bitbucket account:
You'll be prompted to connect with your GitHub or GitLab account:
1. Click `Log in with GitHub`, `Log in with GitLab` or `Log in with Bitbucket`.
1. Click `Log in with GitHub` or `Log in with GitLab`.
2. Review the permissions requested by OpenHands and authorize the application.
- OpenHands will require certain permissions from your account. To read more about these permissions,
you can click the `Learn more` link on the authorization page.
@@ -22,6 +22,5 @@ Once you've connected your account, you can:
- [Install GitHub Integration](/usage/cloud/github-installation) to use OpenHands with your GitHub repositories.
- [Install GitLab Integration](/usage/cloud/gitlab-installation) to use OpenHands with your GitLab repositories.
- [Install Bitbucket Integration](/usage/cloud/bitbucket-installation) to use OpenHands with your Bitbucket repositories.
- [Learn about the Cloud UI](/usage/cloud/cloud-ui).
- [Use the Cloud API](/usage/cloud/cloud-api) to programmatically interact with OpenHands.

View File

@@ -3,18 +3,9 @@ title: Slack Integration (Beta)
description: This guide walks you through installing the OpenHands Slack app.
---
<iframe
className="w-full aspect-video"
src="https://www.youtube.com/embed/hbloGmfZsJ4"
title="OpenHands Slack Integration Tutorial"
frameBorder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowFullScreen>
</iframe>
## Prerequisites
- Access to OpenHands Cloud.
- Access to OpenHands Cloud
## Installation Steps
@@ -32,11 +23,11 @@ description: This guide walks you through installing the OpenHands Slack app.
<Accordion title="Authorize Slack App (for all Slack workspace members)">
**Make sure your Slack workspace admin/owner has installed OpenHands Slack App first.**
**Make sure your Slack workspace admin/owner has installed OpenHands Slack App first**
Every user in the Slack workspace (including admins/owners) must link their OpenHands Cloud account to the OpenHands Slack App. To do this:
Every user in the Slack workspace (including admins/owners) must link their Cloud OpenHands account to the OpenHands Slack App. To do this:
1. Visit [integrations settings](https://app.all-hands.dev/settings/integrations) in OpenHands Cloud.
2. Click `Install OpenHands Slack App`.
2. Click the button "Install Slack App".
3. In the top right corner, select the workspace to install the OpenHands Slack app.
4. Review permissions and click allow.

View File

@@ -1,52 +0,0 @@
---
title: OpenHands Settings
description: Overview of some of the settings available in OpenHands.
---
## Openhands Cloud vs Running on Your Own
There are some differences between the settings available in OpenHands Cloud and those available when running OpenHands
on your own:
* [OpenHands Cloud settings](/usage/cloud/cloud-ui#settings)
* [Settings available when running on your own](/usage/how-to/gui-mode#settings)
Refer to these pages for more detailed information.
## Secrets Management
OpenHands provides a secrets manager that allows you to securely store and manage sensitive information that can be
accessed by the agent during runtime, such as API keys. These secrets are automatically exported as environment
variables in the agent's runtime environment.
### Accessing the Secrets Manager
In the Settings page, navigate to the `Secrets` tab. Here, you'll see a list of all your existing custom secrets.
### Adding a New Secret
1. Click `Add a new secret`.
2. Fill in the following fields:
- **Name**: A unique identifier for your secret (e.g., `AWS_ACCESS_KEY`). This will be the environment variable name.
- **Value**: The sensitive information you want to store.
- **Description** (optional): A brief description of what the secret is used for, which is also provided to the agent.
3. Click `Add secret` to save.
### Editing a Secret
1. Click the `Edit` button next to the secret you want to modify.
2. You can update the name and description of the secret.
<Note>
For security reasons, you cannot view or edit the value of an existing secret. If you need to change the
value, delete the secret and create a new one.
</Note>
### Deleting a Secret
1. Click the `Delete` button next to the secret you want to remove.
2. Select `Confirm` to delete the secret.
### Using Secrets in the Agent
- All custom secrets are automatically exported as environment variables in the agent's runtime environment.
- You can access them in your code using standard environment variable access methods
(e.g., `os.environ['SECRET_NAME']` in Python).
- Example: If you create a secret named `OPENAI_API_KEY`, you can access it in your code as
`process.env.OPENAI_API_KEY` in JavaScript or `os.environ['OPENAI_API_KEY']` in Python.

View File

@@ -1,23 +1,28 @@
---
title: Configuration Options
description: This page outlines all available configuration options for OpenHands, allowing you to customize its
behavior and integrate it with other services.
description: This page outlines all available configuration options for OpenHands, allowing you to customize its behavior and integrate it with other services. In GUI Mode, any settings applied through the Settings UI will take precedence.
---
<Note>
In GUI Mode, any settings applied through the Settings UI will take precedence.
</Note>
## Location of the `config.toml` File
When running OpenHands in CLI, headless, or development mode, you can use a project-specific `config.toml` file for configuration, which must be
located in the same directory from which the command is run. Alternatively, you may use the `--config-file` option to
specify a different path to the `config.toml` file.
## Core Configuration
The core configuration options are defined in the `[core]` section of the `config.toml` file.
### API Keys
- `e2b_api_key`
- Type: `str`
- Default: `""`
- Description: API key for E2B
- `modal_api_token_id`
- Type: `str`
- Default: `""`
- Description: API token ID for Modal
- `modal_api_token_secret`
- Type: `str`
- Default: `""`
- Description: API token secret for Modal
### Workspace
- `workspace_base` **(Deprecated)**
- Type: `str`

View File

@@ -8,34 +8,26 @@ icon: question
### I'm new to OpenHands. Where should I start?
1. **Quick start**: Use [OpenHands Cloud](/usage/cloud/openhands-cloud) to get started quickly with
[GitHub](/usage/cloud/github-installation), [GitLab](/usage/cloud/gitlab-installation),
and [Slack](/usage/cloud/slack-installation) integrations.
2. **Run on your own**: If you prefer to run it on your own hardware, follow our [Getting Started guide](/usage/local-setup).
3. **First steps**: Read over the [start building guidelines](/usage/getting-started) and
[prompting best practices](/usage/prompting/prompting-best-practices) to learn the basics.
1. **Quick Start**: Use [OpenHands Cloud](/usage/cloud/openhands-cloud) to get started quickly with [GitHub](/usage/cloud/github-installation), [GitLab](/usage/cloud/gitlab-installation), and [Slack](/usage/cloud/slack-installation) integration
2. **Local Setup**: If you prefer to run it on your own hardware, follow our [Getting Started guide](/usage/local-setup)
3. **First steps**: Complete the [start building tutorial](/usage/getting-started) to learn the basics
### Can I use OpenHands for production workloads?
OpenHands is meant to be run by a single user on their local workstation. It is not appropriate for multi-tenant
deployments where multiple users share the same instance. There is no built-in authentication, isolation, or scalability.
OpenHands is meant to be run by a single user on their local workstation. It is not appropriate for multi-tenant deployments where multiple users share the same instance. There is no built-in authentication, isolation, or scalability.
If you're interested in running OpenHands in a multi-tenant environment, check out the source-available,
commercially-licensed [OpenHands Cloud Helm Chart](https://github.com/all-Hands-AI/OpenHands-cloud).
If you're interested in running OpenHands in a multi-tenant environment, check out the source-available, commercially-licensed [OpenHands Cloud Helm Chart](https://github.com/all-Hands-AI/OpenHands-cloud).
<Info>
Using OpenHands for work? We'd love to chat! Fill out
[this short form](https://docs.google.com/forms/d/e/1FAIpQLSet3VbGaz8z32gW9Wm-Grl4jpt5WgMXPgJ4EDPVmCETCBpJtQ/viewform)
to join our Design Partner program, where you'll get early access to commercial features and the opportunity to provide
input on our product roadmap.
Using OpenHands for work? We'd love to chat! Fill out [this short form](https://docs.google.com/forms/d/e/1FAIpQLSet3VbGaz8z32gW9Wm-Grl4jpt5WgMXPgJ4EDPVmCETCBpJtQ/viewform) to join our Design Partner program, where you'll get early access to commercial features and the opportunity to provide input on our product roadmap.
</Info>
## Safety and Security
### It's doing stuff without asking, is that safe?
**Generally yes, but with important considerations.** OpenHands runs all code in a secure, isolated Docker container
(called a "sandbox") that is separate from your host system. However, the safety depends on your configuration:
**Generally yes, but with important considerations.** OpenHands runs all code in a secure, isolated Docker container (called a "sandbox") that is separate from your host system. However, the safety depends on your configuration:
**What's protected:**
- Your host system files and programs (unless you mount them using [this feature](/usage/runtimes/docker#connecting-to-your-filesystem))
@@ -43,14 +35,12 @@ input on our product roadmap.
- Other containers and processes
**Potential risks to consider:**
- The agent can access the internet from within the container.
- If you provide credentials (API keys, tokens), the agent can use them.
- Mounted files and directories can be modified or deleted.
- Network requests can be made to external services.
- The agent can access the internet from within the container
- If you provide credentials (API keys, tokens), the agent can use them
- Mounted files and directories can be modified or deleted
- Network requests can be made to external services
For detailed security information, see our [Runtime Architecture](/usage/architecture/runtime),
[Security Configuration](/usage/configuration-options#security-configuration),
and [Hardened Docker Installation](/usage/runtimes/docker#hardened-docker-installation) documentation.
For detailed security information, see our [Runtime Architecture](/usage/architecture/runtime), [Security Configuration](/usage/configuration-options#security-configuration), and [Hardened Docker Installation](/usage/runtimes/docker#hardened-docker-installation) documentation.
## File Storage and Access
@@ -59,19 +49,20 @@ and [Hardened Docker Installation](/usage/runtimes/docker#hardened-docker-instal
Your files are stored in different locations depending on how you've configured OpenHands:
**Default behavior (no file mounting):**
- Files created by the agent are stored inside the runtime Docker container.
- These files are temporary and will be lost when the container is removed.
- The agent works in the `/workspace` directory inside the runtime container.
- Files created by the agent are stored inside the Docker container
- These files are temporary and will be lost when the container is removed
- The agent works in the `/workspace` directory inside the container
**When you mount your local filesystem (following [this](/usage/runtimes/docker#connecting-to-your-filesystem)):**
- Your local files are mounted into the container's `/workspace` directory.
- Changes made by the agent are reflected in your local filesystem.
- Files persist after the container is stopped.
- Your local files are mounted into the container's `/workspace` directory
- Changes made by the agent are reflected in your local filesystem
- Files persist after the container is stopped
<Warning>
Be careful when mounting your filesystem - the agent can modify or delete any files in the mounted directory.
</Warning>
## Development Tools and Environment
### How do I get the dev tools I need?
@@ -80,18 +71,15 @@ OpenHands comes with a basic runtime environment that includes Python and Node.j
It also has the ability to install any tools it needs, so usually it's sufficient to ask it to set up its environment.
If you would like to set things up more systematically, you can:
- **Use setup.sh**: Add a [setup.sh file](/usage/prompting/repository#setup-script) file to
your repository, which will be run every time the agent starts.
- **Use a custom sandbox**: Use a [custom docker image](/usage/how-to/custom-sandbox-guide) to initialize the sandbox.
- **Use setup.sh**: Add a [setup.sh file](https://docs.all-hands.dev/usage/prompting/repository#setup-script) file to your repository, which will be run every time the agent starts
- **Use a custom sandbox**: Use a [custom docker image](/usage/how-to/custom-sandbox-guide) to initialize the sandbox
### Something's not working. Where can I get help?
1. **Search existing issues**: Check our [GitHub issues](https://github.com/All-Hands-AI/OpenHands/issues) to see if
others have encountered the same problem.
2. **Join our community**: Get help from other users and developers:
- [Slack community](https://join.slack.com/t/openhands-ai/shared_invite/zt-3847of6xi-xuYJIPa6YIPg4ElbDWbtSA)
1. **Check our troubleshooting guide**: Common issues and solutions are documented in [Troubleshooting](/usage/troubleshooting/troubleshooting)
2. **Search existing issues**: Check our [GitHub issues](https://github.com/All-Hands-AI/OpenHands/issues) to see if others have encountered the same problem
3. **Join our community**: Get help from other users and developers:
- [Slack community](https://join.slack.com/t/openhands-ai/shared_invite/zt-34zm4j0gj-Qz5kRHoca8DFCbqXPS~f_A)
- [Discord server](https://discord.gg/ESHStjSjD4)
3. **Check our troubleshooting guide**: Common issues and solutions are documented in
[Troubleshooting](/usage/troubleshooting/troubleshooting).
4. **Report bugs**: If you've found a bug, please [create an issue](https://github.com/All-Hands-AI/OpenHands/issues/new)
and fill in as much detail as possible.
4. **Report bugs**: If you've found a bug, please [create an issue](https://github.com/All-Hands-AI/OpenHands/issues/new) with details about your setup and the problem

View File

@@ -1,6 +1,6 @@
---
title: Start Building
description: So you've [run OpenHands](/usage/installation). Now what?
description: So you've [run OpenHands](./installation) and have [set up your LLM](./installation#setup). Now what?
icon: code
---

View File

@@ -7,15 +7,6 @@ description: The Command-Line Interface (CLI) provides a powerful interface that
This mode is different from the [headless mode](/usage/how-to/headless-mode), which is non-interactive and better
for scripting.
<iframe
className="w-full aspect-video"
src="https://www.youtube.com/embed/PfvIx4y8h7w"
title="OpenHands CLI Tutorial"
frameBorder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowFullScreen>
</iframe>
## Getting Started
### Running with Python
@@ -23,73 +14,34 @@ for scripting.
**Note** - OpenHands requires Python version 3.12 or higher (Python 3.14 is not currently supported)
1. Install OpenHands using pip:
```bash
pip install openhands-ai
```
Or if you prefer not to manage your own Python environment, you can use `uvx`:
Or if you prefer not to manage your own Python environment, you can use `uvx`:
```bash
uvx --python 3.12 --from openhands-ai openhands
```
<AccordionGroup>
<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
alias openhands="uvx --python 3.12 --from openhands-ai openhands"
alias oh="uvx --python 3.12 --from openhands-ai openhands"
```
After adding these lines, reload your shell configuration with `source ~/.bashrc` or `source ~/.zshrc` (depending on your shell).
</Accordion>
<Accordion title="Install OpenHands in home directory without global installation">
You can install OpenHands in a virtual environment in your home directory using `uv`:
```bash
# Create a virtual environment in your home directory
cd ~
uv venv .openhands-venv --python 3.12
# Install OpenHands in the virtual environment
uv pip install -t ~/.openhands-venv/lib/python3.12/site-packages openhands-ai
# Add the bin directory to your PATH in your shell configuration file
echo 'export PATH="$PATH:$HOME/.openhands-venv/bin"' >> ~/.bashrc # or ~/.zshrc
# Reload your shell configuration
source ~/.bashrc # or source ~/.zshrc
```
</Accordion>
</AccordionGroup>
2. Launch an interactive OpenHands conversation from the command line:
```bash
openhands
```
<Note>
If you have cloned the repository, you can also run the CLI directly using Poetry:
poetry run python -m openhands.cli.main
</Note>
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
settings. These will be saved for future sessions.
The conversation history will be saved in `~/.openhands/sessions`.
#### For Developers
If you have cloned the repository, you can run the CLI directly using Poetry:
```bash
poetry run python -m openhands.cli.main
```
### Running with Docker
@@ -103,7 +55,7 @@ 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:0.49-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.45-nikolaik \
-e SANDBOX_USER_ID=$(id -u) \
-e SANDBOX_VOLUMES=$SANDBOX_VOLUMES \
-e LLM_API_KEY=$LLM_API_KEY \
@@ -112,21 +64,15 @@ docker run -it \
-v ~/.openhands:/.openhands \
--add-host host.docker.internal:host-gateway \
--name openhands-app-$(date +%Y%m%d%H%M%S) \
docker.all-hands.dev/all-hands-ai/openhands:0.49 \
docker.all-hands.dev/all-hands-ai/openhands:0.45 \
python -m openhands.cli.main --override-cli-mode true
```
<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.
</Note>
> **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.
This launches the CLI in Docker, allowing you to interact with OpenHands.
This launches the CLI in Docker, allowing you to interact with OpenHands as described above.
The `-e SANDBOX_USER_ID=$(id -u)` is passed to the Docker command to ensure the sandbox user matches the host users
permissions. This prevents the agent from creating root-owned files in the mounted workspace.
The conversation history will be saved in `~/.openhands/sessions`.
The `-e SANDBOX_USER_ID=$(id -u)` ensures files created by the agent in your workspace have the correct permissions.
## Interactive CLI Overview

View File

@@ -1,7 +1,6 @@
---
title: Custom Sandbox
description: This guide is for users that would like to use their own custom Docker image for the runtime.
For example, with certain tools or programming languages pre-installed.
description: This guide is for users that would like to use their own custom Docker image for the runtime. For example, with certain tools or programming languages pre-installed.
---
The sandbox is where the agent performs its tasks. Instead of running commands directly on your computer

View File

@@ -25,10 +25,9 @@ You can use the Settings page at any time to:
- Setup the LLM provider and model for OpenHands.
- [Setup the search engine](/usage/search-engine-setup).
- [Configure MCP servers](/usage/mcp).
- [Connect to GitHub](/usage/how-to/gui-mode#github-setup), [connect to GitLab](/usage/how-to/gui-mode#gitlab-setup)
and [connect to Bitbucket](/usage/how-to/gui-mode#bitbucket-setup).
- [Connect to GitHub](/usage/how-to/gui-mode#github-setup) and [connect to GitLab](/usage/how-to/gui-mode#gitlab-setup)
- Set application settings like your preferred language, notifications and other preferences.
- [Manage custom secrets](/usage/common-settings#secrets-management).
- [Manage custom secrets](/usage/how-to/gui-mode#secrets-management).
#### GitHub Setup
@@ -123,15 +122,17 @@ OpenHands automatically exports a `GITLAB_TOKEN` to the shell environment if pro
</Accordion>
</AccordionGroup>
#### BitBucket Setup
#### BitBucket Setup (Coming soon ...)
<AccordionGroup>
<Accordion title="Setting Up a BitBucket Password">
1. **Generate an App Password**:
- On BitBucket, go to Personal Settings > App Password.
- Create a new password with the following scopes:
- `account`: `read`
- `repository: read`
- `repository: write`
- `pull requests: read`
- `pull requests: write`
- `issues: read`
- `issues: write`
- App passwords are non-expiring token. OpenHands will migrate to using API tokens in the future.
2. **Enter Token in OpenHands**:
@@ -156,6 +157,37 @@ OpenHands automatically exports a `GITLAB_TOKEN` to the shell environment if pro
</AccordionGroup>
#### Secrets Management
OpenHands provides a secrets manager that allows you to securely store and manage sensitive information that can be accessed by the agent during runtime, such as API keys. These secrets are automatically exported as environment variables in the agent's runtime environment.
1. **Accessing the Secrets Manager**:
- In the Settings page, navigate to the `Secrets` tab.
- You'll see a list of all your existing custom secrets (if any).
2. **Adding a New Secret**:
- Click the `Add New Secret` button.
- Fill in the following fields:
- **Name**: A unique identifier for your secret (e.g., `AWS_ACCESS_KEY`). This will be the environment variable name.
- **Value**: The sensitive information you want to store.
- **Description** (optional): A brief description of what the secret is used for, which is also provided to the agent.
- Click `Add Secret` to save.
3. **Editing a Secret**:
- Click the `Edit` button next to the secret you want to modify.
- You can update the name and description of the secret.
- Note: For security reasons, you cannot view or edit the value of an existing secret. If you need to change the value, delete the secret and create a new one.
4. **Deleting a Secret**:
- Click the `Delete` button next to the secret you want to remove.
- Confirm the deletion when prompted.
5. **Using Secrets in the Agent**:
- All custom secrets are automatically exported as environment variables in the agent's runtime environment.
- You can access them in your code using standard environment variable access methods (e.g., `os.environ['SECRET_NAME']` in Python).
- Example: If you create a secret named `OPENAI_API_KEY`, you can access it in your code as `process.env.OPENAI_API_KEY` in JavaScript or `os.environ['OPENAI_API_KEY']` in Python.
#### Advanced Settings
The `Advanced` settings allows configuration of additional LLM settings. Inside the Settings page, under the `LLM` tab,
@@ -176,11 +208,11 @@ section of the documentation.
The status indicator located in the bottom left of the screen will cycle through a number of states as a new conversation
is loaded. Typically these include:
* `Disconnected` : The frontend is not connected to any conversation.
* `Disconnected` : The frontend is not connected to any conversation
* `Connecting` : The frontend is connecting a websocket to a conversation.
* `Building Runtime...` : The server is building a runtime. This is typically in development mode only while building a docker image.
* `Starting Runtime...` : The server is starting a new runtime instance - probably a new docker container or remote runtime.
* `Initializing Agent...` : The server is starting the agent loop (This step does not appear at present with Nested runtimes).
* `Initializing Agent...` : The server is starting the agent loop. (This step does not appear at present with Nested runtimes)
* `Setting up workspace...` : Usually this means a `git clone ...` operation.
* `Setting up git hooks` : Setting up the git pre commit hooks for the workspace.
* `Agent is awaiting user input...` : Ready to go!

View File

@@ -18,79 +18,42 @@ poetry run python -m openhands.core.main -t "write a bash script that prints hi"
You'll need to be sure to set your model, API key, and other settings via environment variables
[or the `config.toml` file](https://github.com/All-Hands-AI/OpenHands/blob/main/config.template.toml).
### Working with Repositories
You can specify a repository for OpenHands to work with using `--selected-repo` or the `SANDBOX_SELECTED_REPO` environment variable:
> **Note**: Currently, authentication tokens (GITHUB_TOKEN, GITLAB_TOKEN, or BITBUCKET_TOKEN) are required for all repository operations, including public repositories. This is a known limitation that may be addressed in future versions to allow tokenless access to public repositories.
```bash
# Using command-line argument
poetry run python -m openhands.core.main \
--selected-repo "owner/repo-name" \
-t "analyze the codebase and suggest improvements"
# Using environment variable
export SANDBOX_SELECTED_REPO="owner/repo-name"
poetry run python -m openhands.core.main -t "fix any linting issues"
# Authentication tokens are currently required for ALL repository operations (public and private)
# This includes GitHub, GitLab, and Bitbucket repositories
export GITHUB_TOKEN="your-token" # or GITLAB_TOKEN, BITBUCKET_TOKEN
poetry run python -m openhands.core.main \
--selected-repo "owner/repo-name" \
-t "review the security implementation"
# Using task files instead of inline task
echo "Review the README and suggest improvements" > task.txt
poetry run python -m openhands.core.main -f task.txt --selected-repo "owner/repo"
```
## With Docker
Set environment variables and run the Docker command:
To run OpenHands in Headless mode with Docker:
1. Set the following environment variables in your terminal:
- `SANDBOX_VOLUMES` to specify the directory you want OpenHands to access ([See using SANDBOX_VOLUMES for more info](../runtimes/docker#using-sandbox_volumes))
- `LLM_MODEL` - the LLM model to use (e.g. `export LLM_MODEL="anthropic/claude-sonnet-4-20250514"`)
- `LLM_API_KEY` - your API key (e.g. `export LLM_API_KEY="sk_test_12345"`)
2. Run the following Docker command:
```bash
# Set required environment variables
export SANDBOX_VOLUMES="/path/to/workspace" # See SANDBOX_VOLUMES docs for details
export LLM_MODEL="anthropic/claude-sonnet-4-20250514"
export LLM_API_KEY="your-api-key"
export SANDBOX_SELECTED_REPO="owner/repo-name" # Optional: requires GITHUB_TOKEN
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:0.49-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.45-nikolaik \
-e SANDBOX_USER_ID=$(id -u) \
-e SANDBOX_VOLUMES=$SANDBOX_VOLUMES \
-e LLM_API_KEY=$LLM_API_KEY \
-e LLM_MODEL=$LLM_MODEL \
-e SANDBOX_SELECTED_REPO=$SANDBOX_SELECTED_REPO \
-e GITHUB_TOKEN=$GITHUB_TOKEN \
-e LOG_ALL_EVENTS=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-v ~/.openhands:/.openhands \
--add-host host.docker.internal:host-gateway \
--name openhands-app-$(date +%Y%m%d%H%M%S) \
docker.all-hands.dev/all-hands-ai/openhands:0.49 \
docker.all-hands.dev/all-hands-ai/openhands:0.45 \
python -m openhands.core.main -t "write a bash script that prints hi"
```
> **Note**: If you used OpenHands before version 0.44, run `mv ~/.openhands-state ~/.openhands` to migrate your conversation history.
> **Note**: If you used OpenHands before version 0.44, you may want to run `mv ~/.openhands-state ~/.openhands` to migrate your conversation history to the new location.
The `-e SANDBOX_USER_ID=$(id -u)` is passed to the Docker command to ensure the sandbox user matches the host users
permissions. This prevents the agent from creating root-owned files in the mounted workspace.
## Additional Options
## Advanced Headless Configurations
Common command-line options:
- `-d "/path/to/workspace"` - Set working directory
- `-f task.txt` - Load task from file
- `-i 50` - Set max iterations
- `-b 10.0` - Set budget limit (USD)
- `--no-auto-continue` - Interactive mode
To view all available configuration options for headless mode, run the Python command with the `--help` flag.
Run `poetry run python -m openhands.core.main --help` for all options.
### Additional Logs
Set `export LOG_ALL_EVENTS=true` to log all agent actions.
For the headless mode to log all the agent actions, in the terminal run: `export LOG_ALL_EVENTS=true`

View File

@@ -1,12 +1,12 @@
---
title: Quick Start
description: Running OpenHands Cloud or running on your own.
description: Running OpenHands Cloud or running on your local system.
icon: rocket
---
## OpenHands Cloud
The easiest way to get started with OpenHands is on OpenHands Cloud, which comes with $20 in free credits for new users.
The easiest way to get started with OpenHands is on OpenHands Cloud, which comes with $50 in free credits for new users.
To get started with OpenHands Cloud, visit [app.all-hands.dev](https://app.all-hands.dev).

View File

@@ -10,8 +10,7 @@ This section is for users who want to connect OpenHands to different LLMs.
## Model Recommendations
Based on our evaluations of language models for coding tasks (using the SWE-bench dataset), we can provide some
recommendations for model selection. Our latest benchmarking results can be found in
[this spreadsheet](https://docs.google.com/spreadsheets/d/1wOUdFCMyY6Nt0AIqF705KN4JKOWgeI4wUGUP60krXXs/edit?gid=0).
recommendations for model selection. Our latest benchmarking results can be found in [this spreadsheet](https://docs.google.com/spreadsheets/d/1wOUdFCMyY6Nt0AIqF705KN4JKOWgeI4wUGUP60krXXs/edit?gid=0).
Based on these findings and community feedback, these are the latest models that have been verified to work reasonably well with OpenHands:
@@ -21,7 +20,6 @@ Based on these findings and community feedback, these are the latest models that
- [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)
If you have successfully run OpenHands with specific providers, we encourage you to open a PR to share your setup process
to help others using the same provider!
@@ -72,21 +70,9 @@ We have a few guides for running OpenHands with specific model providers:
- [Groq](/usage/llms/groq)
- [Local LLMs with SGLang or vLLM](/usage/llms/local-llms)
- [LiteLLM Proxy](/usage/llms/litellm-proxy)
- [Moonshot AI](/usage/llms/moonshot)
- [OpenAI](/usage/llms/openai-llms)
- [OpenHands](/usage/llms/openhands-llms)
- [OpenRouter](/usage/llms/openrouter)
## Model Customization
LLM providers have specific settings that can be customized to optimize their performance with OpenHands, such as:
- **Custom Tokenizers**: For specialized models, you can add a suitable tokenizer.
- **Native Tool Calling**: Toggle native function/tool calling capabilities.
For detailed information about model customization, see
[LLM Configuration Options](/usage/configuration-options#llm-configuration).
### API retries and rate limits
LLM providers typically have rate limits, sometimes very low, and may require retries. OpenHands will automatically

View File

@@ -6,85 +6,75 @@ description: When using a Local LLM, OpenHands may have limited functionality. I
## News
- 2025/05/21: We collaborated with Mistral AI and released [Devstral Small](https://mistral.ai/news/devstral) that achieves [46.8% on SWE-Bench Verified](https://github.com/SWE-bench/experiments/pull/228)!
- 2025/03/31: We released an open model OpenHands LM 32B v0.1 that achieves 37.1% on SWE-Bench Verified
- 2025/03/31: We released an open model OpenHands LM v0.1 32B that achieves 37.1% on SWE-Bench Verified
([blog](https://www.all-hands.dev/blog/introducing-openhands-lm-32b----a-strong-open-coding-agent-model), [model](https://huggingface.co/all-hands/openhands-lm-32b-v0.1)).
## Quickstart: Running OpenHands with a Local LLM using LM Studio
This guide explains how to serve a local Devstral LLM using [LM Studio](https://lmstudio.ai/) and have OpenHands connect to it.
## Quickstart: Running OpenHands on Your Macbook
We recommend:
- **LM Studio** as the local model server, which handles metadata downloads automatically and offers a simple, user-friendly interface for configuration.
- **Devstral Small 2505** as the LLM for software development, trained on real GitHub issues and optimized for agent-style workflows like OpenHands.
### Serve the model on your Macbook
### Hardware Requirements
We recommend using [LMStudio](https://lmstudio.ai/) for serving these models locally.
Running Devstral requires a recent GPU with at least 16GB of VRAM, or a Mac with Apple Silicon (M1, M2, etc.) with at least 32GB of RAM.
1. Download [LM Studio](https://lmstudio.ai/) and install it
### 1. Install LM Studio
2. Download the model:
- Option 1: Directly download the LLM from [this link](https://lmstudio.ai/model/devstral-small-2505-mlx) or by searching for the name `Devstral-Small-2505` in LM Studio
- Option 2: Download a LLM in GGUF format. For example, to download [Devstral Small 2505 GGUF](https://huggingface.co/mistralai/Devstral-Small-2505_gguf), using `huggingface-cli download mistralai/Devstral-Small-2505_gguf --local-dir mistralai/Devstral-Small-2505_gguf`. Then in bash terminal, run `lms import {model_name}` in the directory where you've downloaded the model checkpoint (e.g. run `lms import devstralQ4_K_M.gguf` in `mistralai/Devstral-Small-2505_gguf`)
Download and install the LM Studio desktop app from [lmstudio.ai](https://lmstudio.ai/).
3. Open LM Studio application, you should first switch to `power user` mode, and then open the developer tab:
### 2. Download Devstral Small
![image](./screenshots/1_select_power_user.png)
1. Make sure to set the User Interface Complexity Level to "Power User", by clicking on the appropriate label at the bottom of the window.
2. Click the "Discover" button (Magnifying Glass icon) on the left navigation bar to open the Models download page.
4. Then click `Select a model to load` on top of the application:
![image](./screenshots/01_lm_studio_open_model_hub.png)
![image](./screenshots/2_select_model.png)
3. Search for the "Devstral Small 2505" model, confirm it's the official Mistral AI (mistralai) model, then proceed to download.
5. And choose the model you want to use, holding `option` on mac to enable advanced loading options:
![image](./screenshots/02_lm_studio_download_devstral.png)
![image](./screenshots/3_select_devstral.png)
4. Wait for the download to finish.
6. You should then pick an appropriate context window for OpenHands based on your hardware configuration (larger than 32768 is recommended for using OpenHands, but too large may cause you to run out of memory); Flash attention is also recommended if it works on your machine.
### 3. Load the Model
![image](./screenshots/4_set_context_window.png)
1. Click the "Developer" button (Console icon) on the left navigation bar to open the Developer Console.
2. Click the "Select a model to load" dropdown at the top of the application window.
7. And you should start the server (if it is not already in `Running` status), un-toggle `Serve on Local Network` and remember the port number of the LMStudio URL (`1234` is the port number for `http://127.0.0.1:1234` in this example):
![image](./screenshots/03_lm_studio_open_load_model.png)
![image](./screenshots/5_copy_url.png)
3. Enable the "Manually choose model load parameters" switch.
4. Select 'Devstral Small 2505' from the model list.
8. Finally, you can click the `copy` button near model name to copy the model name (`imported-models/uncategorized/devstralq4_k_m.gguf` in this example):
![image](./screenshots/04_lm_studio_setup_devstral_part_1.png)
![image](./screenshots/6_copy_to_get_model_name.png)
5. Enable the "Show advanced settings" switch at the bottom of the Model settings flyout to show all the available settings.
6. Set "Context Length" to at least 32768 and enable Flash Attention.
7. Click "Load Model" to start loading the model.
### Start OpenHands with locally served model
![image](./screenshots/05_lm_studio_setup_devstral_part_2.png)
### 4. Start the LLM server
1. Enable the switch next to "Status" at the top-left of the Window.
2. Take note of the Model API Identifier shown on the sidebar on the right.
![image](./screenshots/06_lm_studio_start_server.png)
### 5. Start OpenHands
1. Check [the installation guide](/usage/local-setup) and ensure all prerequisites are met before running OpenHands, then run:
Check [the installation guide](/usage/local-setup) to make sure you have all the prerequisites for running OpenHands.
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik
export LMSTUDIO_MODEL_NAME="imported-models/uncategorized/devstralq4_k_m.gguf" # <- Replace this with the model name you copied from LMStudio
export LMSTUDIO_URL="http://host.docker.internal:1234" # <- Replace this with the port from LMStudio
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.45-nikolaik
mkdir -p ~/.openhands && echo '{"language":"en","agent":"CodeActAgent","max_iterations":null,"security_analyzer":null,"confirmation_mode":false,"llm_model":"lm_studio/'$LMSTUDIO_MODEL_NAME'","llm_api_key":"dummy","llm_base_url":"'$LMSTUDIO_URL/v1'","remote_runtime_resource_factor":null,"github_token":null,"enable_default_condenser":true,"user_consents_to_analytics":true}' > ~/.openhands/settings.json
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.45-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:0.49
docker.all-hands.dev/all-hands-ai/openhands:0.45
```
2. Wait until the server is running (see log below):
> **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.
Once your server is running -- you can visit `http://localhost:3000` in your browser to use OpenHands with local Devstral model:
```
Digest: sha256:e72f9baecb458aedb9afc2cd5bc935118d1868719e55d50da73190d3a85c674f
Status: Image is up to date for docker.all-hands.dev/all-hands-ai/openhands:0.49
Status: Image is up to date for docker.all-hands.dev/all-hands-ai/openhands:0.45
Starting OpenHands...
Running OpenHands as root
14:22:13 - openhands:INFO: server_config.py:50 - Using config class None
@@ -94,109 +84,65 @@ INFO: Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:3000 (Press CTRL+C to quit)
```
3. Visit `http://localhost:3000` in your browser.
### 6. Configure OpenHands to use the LLM server
## Advanced: Serving LLM on GPUs
Once you open OpenHands in your browser, you'll need to configure it to use the local LLM server you just started.
### Download model checkpoints
When started for the first time, OpenHands will prompt you to set up the LLM provider.
<Note>
The model checkpoints downloaded here should NOT be in GGUF format.
</Note>
1. Click "see advanced settings" to open the LLM Settings page.
![image](./screenshots/07_openhands_open_advanced_settings.png)
2. Enable the "Advanced" switch at the top of the page to show all the available settings.
3. Set the following values:
- **Custom Model**: `openai/mistralai/devstral-small-2505` (the Model API identifier from LM Studio, prefixed with "openai/")
- **Base URL**: `http://host.docker.internal:1234/v1`
- **API Key**: `local-llm`
4. Click "Save Settings" to save the configuration.
![image](./screenshots/08_openhands_configure_local_llm_parameters.png)
That's it! You can now start using OpenHands with the local LLM server.
If you encounter any issues, let us know on [Slack](https://join.slack.com/t/openhands-ai/shared_invite/zt-3847of6xi-xuYJIPa6YIPg4ElbDWbtSA) or [Discord](https://discord.gg/ESHStjSjD4).
## Advanced: Alternative LLM Backends
This section describes how to run local LLMs with OpenHands using alternative backends like Ollama, SGLang, or vLLM — without relying on LM Studio.
### Create an OpenAI-Compatible Endpoint with Ollama
- Install Ollama following [the official documentation](https://ollama.com/download).
- Example launch command for Devstral Small 2505:
For example, to download [OpenHands LM 32B v0.1](https://huggingface.co/all-hands/openhands-lm-32b-v0.1):
```bash
# ⚠️ WARNING: OpenHands requires a large context size to work properly.
# When using Ollama, set OLLAMA_CONTEXT_LENGTH to at least 32768.
# The default (4096) is way too small — not even the system prompt will fit, and the agent will not behave correctly.
OLLAMA_CONTEXT_LENGTH=32768 OLLAMA_HOST=0.0.0.0:11434 OLLAMA_KEEP_ALIVE=-1 nohup ollama serve &
ollama pull devstral:latest
huggingface-cli download all-hands/openhands-lm-32b-v0.1 --local-dir all-hands/openhands-lm-32b-v0.1
```
### Create an OpenAI-Compatible Endpoint with vLLM or SGLang
First, download the model checkpoints. For [Devstral Small 2505](https://huggingface.co/mistralai/Devstral-Small-2505):
```bash
huggingface-cli download mistralai/Devstral-Small-2505 --local-dir mistralai/Devstral-Small-2505
```
#### Serving the model using SGLang
### Create an OpenAI-Compatible Endpoint With SGLang
- Install SGLang following [the official documentation](https://docs.sglang.ai/start/install.html).
- Example launch command for Devstral Small 2505 (with at least 2 GPUs):
- Example launch command for OpenHands LM 32B (with at least 2 GPUs):
```bash
SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN=1 python3 -m sglang.launch_server \
--model mistralai/Devstral-Small-2505 \
--served-model-name Devstral-Small-2505 \
--model all-hands/openhands-lm-32b-v0.1 \
--served-model-name openhands-lm-32b-v0.1 \
--port 8000 \
--tp 2 --dp 1 \
--host 0.0.0.0 \
--api-key mykey --context-length 131072
```
#### Serving the model using vLLM
### Create an OpenAI-Compatible Endpoint with vLLM
- Install vLLM following [the official documentation](https://docs.vllm.ai/en/latest/getting_started/installation.html).
- Example launch command for Devstral Small 2505 (with at least 2 GPUs):
- Example launch command for OpenHands LM 32B (with at least 2 GPUs):
```bash
vllm serve mistralai/Devstral-Small-2505 \
vllm serve all-hands/openhands-lm-32b-v0.1 \
--host 0.0.0.0 --port 8000 \
--api-key mykey \
--tensor-parallel-size 2 \
--served-model-name Devstral-Small-2505 \
--served-model-name openhands-lm-32b-v0.1
--enable-prefix-caching
```
If you are interested in further improved inference speed, you can also try Snowflake's version
of vLLM, [ArcticInference](https://www.snowflake.com/en/engineering-blog/fast-speculative-decoding-vllm-arctic/),
which can achieve up to 2x speedup in some cases.
### Create an OpenAI-Compatible Endpoint with Ollama
1. Install the Arctic Inference library that automatically patches vLLM:
- Install Ollama following [the official documentation](https://ollama.com/download).
- For Ollama configuration, use `ollama/<modelname>` as custom model in web. Api key also can be set to `ollama`.
- Example launch command for Devstral LM 24B:
```bash
pip install git+https://github.com/snowflakedb/ArcticInference.git
OLLAMA_CONTEXT_LENGTH=32768 OLLAMA_HOST=0.0.0.0:11434 OLLAMA_KEEP_ALIVE=-1 nohup ollama serve&
#The minimum context size is ~8196, even the system prompt won't fit smaller
ollama pull devstral:latest
```
2. Run the launch command with speculative decoding enabled:
## Advanced: Run and Configure OpenHands
```bash
vllm serve mistralai/Devstral-Small-2505 \
--host 0.0.0.0 --port 8000 \
--api-key mykey \
--tensor-parallel-size 2 \
--served-model-name Devstral-Small-2505 \
--speculative-config '{"method": "suffix"}'
```
### Run OpenHands (Alternative Backends)
### Run OpenHands
#### Using Docker
@@ -205,20 +151,24 @@ Run OpenHands using [the official docker run command](../installation#start-the-
#### Using Development Mode
Use the instructions in [Development.md](https://github.com/All-Hands-AI/OpenHands/blob/main/Development.md) to build OpenHands.
Ensure `config.toml` exists by running `make setup-config` which will create one for you. In the `config.toml`, enter the following:
```
[core]
workspace_base="/path/to/your/workspace"
[llm]
model="openhands-lm-32b-v0.1"
ollama_base_url="http://localhost:8000"
```
Start OpenHands using `make run`.
### Configure OpenHands (Alternative Backends)
### Configure OpenHands
Once OpenHands is running, open the Settings page in the UI and go to the `LLM` tab.
1. Click **"see advanced settings"** to access the full configuration panel.
2. Enable the **Advanced** toggle at the top of the page.
3. Set the following parameters, if you followed the examples above:
- **Custom Model**: `openai/<served-model-name>`
e.g. `openai/devstral` if you're using Ollama, or `openai/Devstral-Small-2505` for SGLang or vLLM.
- **Base URL**: `http://host.docker.internal:<port>/v1`
Use port `11434` for Ollama, or `8000` for SGLang and vLLM.
- **API Key**:
- For **Ollama**: any placeholder value (e.g. `dummy`, `local-llm`)
- For **SGLang** or **vLLM**: use the same key provided when starting the server (e.g. `mykey`)
Once OpenHands is running, you'll need to set the following in the OpenHands UI through the Settings under the `LLM` tab:
1. Enable `Advanced` options.
2. Set the following:
- `Custom Model` to `openai/<served-model-name>` (e.g. `openai/openhands-lm-32b-v0.1`)
- `Base URL` to `http://host.docker.internal:8000`
- `API key` to the same string you set when serving the model (e.g. `mykey`)

View File

@@ -1,25 +0,0 @@
---
title: Moonshot AI
description: How to use Moonshot AI models with OpenHands
---
## Using Moonshot AI with OpenHands
[Moonshot AI](https://platform.moonshot.ai/) offers several powerful models, including Kimi-K2, which has been verified to work well with OpenHands.
### Setup
1. Sign up for an account at [Moonshot AI Platform](https://platform.moonshot.ai/)
2. Generate an API key from your account settings
3. Configure OpenHands to use Moonshot AI:
| Setting | Value |
| --- | --- |
| LLM Provider | `moonshot` |
| LLM Model | `kimi-k2-0711-preview` |
| API Key | Your Moonshot API key |
### Recommended Models
- `moonshot/kimi-k2-0711-preview` - Kimi-K2 is Moonshot's most powerful model with a 131K context window, function calling support, and web search capabilities.

View File

@@ -1,34 +0,0 @@
---
title: OpenHands
description: OpenHands LLM provider with access to state-of-the-art (SOTA) agentic coding models.
---
## Obtain Your OpenHands LLM API Key
1. [Log in to OpenHands Cloud](/usage/cloud/openhands-cloud).
2. Go to the Settings page and navigate to the `API Keys` tab.
3. Copy your `LLM API Key`.
![OpenHands LLM API Key](/static/img/openhands-llm-api-key.png)
## Configuration
When running OpenHands, you'll need to set the following in the OpenHands UI through the Settings under the `LLM` tab:
- `LLM Provider` to `OpenHands`
- `LLM Model` to the model you will be using (e.g. claude-sonnet-4-20250514)
- `API Key` to your OpenHands LLM API key copied from above
## Using OpenHands LLM Provider in the CLI
1. [Run OpenHands CLI](/usage/how-to/cli-mode).
2. To select OpenHands as the LLM provider:
- If this is your first time running the CLI, choose `openhands` and then select the model that you would like to use.
- If you have previously run the CLI, run the `/settings` command and select to modify the `Basic` settings. Then
choose `openhands` and finally the model.
![OpenHands Provider in CLI](/static/img/openhands-provider-cli.png)
## 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)

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@@ -67,17 +67,17 @@ A system with a modern processor and a minimum of **4GB RAM** is recommended to
### Start the App
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.45-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.49-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.45-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:0.49
docker.all-hands.dev/all-hands-ai/openhands:0.45
```
> **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.
@@ -153,6 +153,8 @@ To enable search functionality in OpenHands:
For more details, see the [Search Engine Setup](/usage/search-engine-setup) guide.
Now you're ready to [get started with OpenHands](/usage/getting-started).
### Versions
The [docker command above](/usage/local-setup#start-the-app) pulls the most recent stable release of OpenHands. You have other options as well:

View File

@@ -1,7 +1,6 @@
---
title: Model Context Protocol (MCP)
description: This page outlines how to configure and use the Model Context Protocol (MCP) in OpenHands, allowing you
to extend the agent's capabilities with custom tools.
description: This page outlines how to configure and use the Model Context Protocol (MCP) in OpenHands, allowing you to extend the agent's capabilities with custom tools.
---
## Overview
@@ -29,15 +28,6 @@ sse_servers = [
{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"}
]
# Stdio Servers - Local processes that communicate via standard input/output
stdio_servers = [
# Basic stdio server
@@ -66,22 +56,6 @@ SSE servers are configured using either a string URL or an object with the follo
- Type: `str`
- Description: The URL of the SSE server
- `api_key` (optional)
- Type: `str`
- Description: API key for authentication
### SHTTP Servers
SHTTP (Streamable HTTP) servers are configured using either a string URL or an object with the following properties:
- `url` (required)
- Type: `str`
- Description: The URL of the SHTTP server
- `api_key` (optional)
- Type: `str`
- Description: API key for authentication
### Stdio Servers
Stdio servers are configured using an object with the following properties:
@@ -109,7 +83,7 @@ Stdio servers are configured using an object with the following properties:
When OpenHands starts, it:
1. Reads the MCP configuration.
2. Connects to any configured SSE and SHTTP servers.
2. Connects to any configured SSE servers.
3. Starts any configured stdio servers.
4. Registers the tools provided by these servers with the agent.
@@ -118,23 +92,3 @@ The agent can then use these tools just like any built-in tool. When the agent c
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
OpenHands supports three different MCP transport protocols:
### Server-Sent Events (SSE)
SSE is a legacy HTTP-based transport that uses Server-Sent Events for server-to-client communication and HTTP POST requests for client-to-server communication. This transport is suitable for basic streaming scenarios but has limitations in session management and connection resumability.
### Streamable HTTP (SHTTP)
SHTTP is the modern HTTP-based transport protocol that provides enhanced features over SSE:
- **Improved Session Management**: Supports stateful sessions with session IDs for maintaining context across requests
- **Connection Resumability**: Can resume broken connections and replay missed messages using event IDs
- **Bidirectional Communication**: Uses HTTP POST for client-to-server and optional SSE streams for server-to-client communication
- **Better Error Handling**: Enhanced error reporting and recovery mechanisms
SHTTP is the recommended transport for HTTP-based MCP servers as it provides better reliability and features compared to the legacy SSE transport.
### Standard Input/Output (stdio)
Stdio transport enables communication through standard input and output streams, making it ideal for local integrations and command-line tools. This transport is used for locally executed MCP servers that run as separate processes.

View File

@@ -11,8 +11,6 @@ accordingly. However, they are applied to all repositories belonging to the orga
Add a `.openhands` repository under the organization or user and create a `microagents` directory and place the
microagents in that directory.
For GitLab organizations, use `openhands-config` as the repository name instead of `.openhands`, since GitLab doesn't support repository names starting with non-alphanumeric characters.
## Example
General microagent file example for organization `Great-Co` located inside the `.openhands` repository:
@@ -22,14 +20,3 @@ General microagent file example for organization `Great-Co` located inside the `
* Document interfaces and public APIs; use implementation comments only for non-obvious logic.
* Follow the same naming convention for variables, classes, constants, etc. already used in each repository.
```
For GitLab organizations, the same microagent would be located inside the `openhands-config` repository.
## User Microagents When Running Openhands on Your Own
<Note>
This works with CLI, headless and development modes. It does not work out of the box when running OpenHands using the docker command.
</Note>
When running OpenHands on your own, you can place microagents in the `~/.openhands/microagents` folder on your local
system and OpenHands will always load it for all your conversations.

View File

@@ -3,6 +3,7 @@ title: Daytona Runtime
description: You can use [Daytona](https://www.daytona.io/) as a runtime provider.
---
## Step 1: Retrieve Your Daytona API Key
1. Visit the [Daytona Dashboard](https://app.daytona.io/dashboard/keys).
2. Click **"Create Key"**.

View File

@@ -3,6 +3,8 @@ title: Docker Runtime
description: This is the default Runtime that's used when you start OpenHands.
---
This is the default Runtime that's used when you start OpenHands.
## Image
The `SANDBOX_RUNTIME_CONTAINER_IMAGE` from nikolaik is a pre-built runtime image
that contains our Runtime server, as well as some basic utilities for Python and NodeJS.
@@ -126,7 +128,3 @@ docker network create openhands-network
docker run # ... \
--network openhands-network \
```
<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>

View File

@@ -3,8 +3,7 @@ title: E2B Runtime
description: E2B is an open-source secure cloud environment (sandbox) made for running AI-generated code and agents.
---
[E2B](https://e2b.dev) offers [Python](https://pypi.org/project/e2b/) and [JS/TS](https://www.npmjs.com/package/e2b)
SDK to spawn and control these sandboxes.
[E2B](https://e2b.dev) offers [Python](https://pypi.org/project/e2b/) and [JS/TS](https://www.npmjs.com/package/e2b) SDK to spawn and control these sandboxes.
## Getting started
@@ -19,13 +18,9 @@ SDK to spawn and control these sandboxes.
Full CLI API is [here](https://e2b.dev/docs/cli/installation).
## OpenHands sandbox
You can use the E2B CLI to create a custom sandbox with a Dockerfile. Read the full guide
[here](https://e2b.dev/docs/guide/custom-sandbox). The premade OpenHands sandbox for E2B is set up in the `containers`
directory. and it's called `openhands`.
You can use the E2B CLI to create a custom sandbox with a Dockerfile. Read the full guide [here](https://e2b.dev/docs/guide/custom-sandbox). The premade OpenHands sandbox for E2B is set up in the `containers` directory. and it's called `openhands`.
## Debugging
You can connect to a running E2B sandbox with E2B CLI in your terminal.
- List all running sandboxes (based on your API key)
@@ -39,6 +34,5 @@ You can connect to a running E2B sandbox with E2B CLI in your terminal.
```
## Links
- [E2B Docs](https://e2b.dev/docs)
- [E2B GitHub](https://github.com/e2b-dev/e2b)

View File

@@ -1,8 +1,6 @@
---
title: Local Runtime
description: The Local Runtime allows the OpenHands agent to execute actions directly on your local machine without
using Docker. This runtime is primarily intended for controlled environments like CI pipelines or testing scenarios
where Docker is not available.
description: The Local Runtime allows the OpenHands agent to execute actions directly on your local machine without using Docker. This runtime is primarily intended for controlled environments like CI pipelines or testing scenarios where Docker is not available.
---
<Warning>

View File

@@ -9,6 +9,8 @@ commands.
By default, OpenHands uses a [Docker-based runtime](/usage/runtimes/docker), running on your local computer.
This means you only have to pay for the LLM you're using, and your code is only ever sent to the LLM.
We also support other runtimes, which are typically managed by third-parties.
Additionally, we provide a [Local Runtime](/usage/runtimes/local) that runs directly on your machine without Docker,
which can be useful in controlled environments like CI pipelines.
@@ -19,18 +21,6 @@ OpenHands supports several different runtime environments:
- [Docker Runtime](/usage/runtimes/docker) - The default runtime that uses Docker containers for isolation (recommended for most users).
- [OpenHands Remote Runtime](/usage/runtimes/remote) - Cloud-based runtime for parallel execution (beta).
- [Local Runtime](/usage/runtimes/local) - Direct execution on your local machine without Docker.
### Third-Party Runtimes
The following third-party runtimes are available when you install the `third_party_runtimes` extra:
```bash
pip install openhands-ai[third_party_runtimes]
```
- [E2B Runtime](/usage/runtimes/e2b) - Open source runtime using E2B sandboxes.
- [Modal Runtime](/usage/runtimes/modal) - Serverless runtime using Modal infrastructure.
- [Runloop Runtime](/usage/runtimes/runloop) - Cloud runtime using Runloop infrastructure.
- [Daytona Runtime](/usage/runtimes/daytona) - Development environment runtime using Daytona.
**Note**: These third-party runtimes are supported by their respective developers, not by the OpenHands team. For issues specific to these runtimes, please refer to their documentation or contact their support teams.
- And more third-party runtimes:
- [Modal Runtime](/usage/runtimes/modal) - Runtime provided by our partners at Modal.
- [Daytona Runtime](/usage/runtimes/daytona) - Runtime provided by Daytona.

View File

@@ -1,11 +1,7 @@
---
title: Remote Runtime
description: This runtime is specifically designed for agent evaluation purposes only through the
[OpenHands evaluation harness](https://github.com/All-Hands-AI/OpenHands/tree/main/evaluation). It should not be
used to launch production OpenHands applications.
description: This runtime is specifically designed for agent evaluation purposes only through the [OpenHands evaluation harness](https://github.com/All-Hands-AI/OpenHands/tree/main/evaluation). It should not be used to launch production OpenHands applications.
---
OpenHands Remote Runtime is currently in beta (read [here](https://runtime.all-hands.dev/) for more details),
it allows you to launch runtimes in parallel in the cloud. 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!
OpenHands Remote Runtime is currently in beta (read [here](https://runtime.all-hands.dev/) for more details), it allows you to launch runtimes
in parallel in the cloud. 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!

View File

@@ -1,7 +1,6 @@
---
title: Runloop Runtime
description: Runloop provides a fast, secure and scalable AI sandbox (Devbox). Check out the
[runloop docs](https://docs.runloop.ai/overview/what-is-runloop) for more detail.
description: Runloop provides a fast, secure and scalable AI sandbox (Devbox). Check out the [runloop docs](https://docs.runloop.ai/overview/what-is-runloop) for more detail.
---
## Access

View File

@@ -1,6 +1,6 @@
---
title: Search Engine Setup
description: Configure OpenHands to use Tavily as a search engine.
description: Configure OpenHands to use Tavily as a search engine
---
## Setting Up Search Engine in OpenHands
@@ -11,10 +11,10 @@ OpenHands can be configured to use [Tavily](https://tavily.com/) as a search eng
To use the search functionality in OpenHands, you'll need to obtain a Tavily API key:
1. Visit [Tavily's website](https://tavily.com/) and sign up for an account.
2. Navigate to the API section in your dashboard.
3. Generate a new API key.
4. Copy the API key (it should start with `tvly-`).
1. Visit [Tavily's website](https://tavily.com/) and sign up for an account
2. Navigate to the API section in your dashboard
3. Generate a new API key
4. Copy the API key (it should start with `tvly-`)
### Configuring Search in OpenHands
@@ -22,12 +22,13 @@ Once you have your Tavily API key, you can configure OpenHands to use it:
#### In the OpenHands UI
1. Open OpenHands and navigate to the Settings page.
2. Under the `LLM` tab, enter your Tavily API key (starting with `tvly-`) in the `Search API Key (Tavily)` field.
3. Click `Save` to apply the changes.
1. Open OpenHands and navigate to the Settings page by clicking the gear icon
2. In the LLM settings tab, locate the "Search API Key (Tavily)" field
3. Enter your Tavily API key (starting with `tvly-`)
4. Click "Save" to apply the changes
<Note>
The search API key field is optional. If you don't provide a key, the search functionality will not be available to the agent.
The search API key field is optional. If you don't provide a key, the search functionality will not be available to the agent.
</Note>
#### Using Configuration Files
@@ -44,23 +45,22 @@ search_api_key = "tvly-your-api-key-here"
When the search engine is configured:
- The agent can decide to search the web when it needs external information.
- Search queries are sent to Tavily's API via [Tavily's MCP server](https://github.com/tavily-ai/tavily-mcp) which
includes a variety of [tools](https://docs.tavily.com/documentation/api-reference/introduction) (search, extract, crawl, map).
- Results are returned and incorporated into the agent's context.
- The agent can use this information to provide more accurate and up-to-date responses.
1. The agent can decide to search the web when it needs external information
2. Search queries are sent to Tavily's API via [Tavily's MCP server](https://github.com/tavily-ai/tavily-mcp) which includes a variety of [tools](https://docs.tavily.com/documentation/api-reference/introduction) (search, extract, crawl, map).
3. Results are returned and incorporated into the agent's context
4. The agent can use this information to provide more accurate and up-to-date responses
### Limitations
- Search results depend on Tavily's coverage and freshness.
- Usage may be subject to Tavily's rate limits and pricing tiers.
- The agent will only search when it determines that external information is needed.
- Search results depend on Tavily's coverage and freshness
- Usage may be subject to Tavily's rate limits and pricing tiers
- The agent will only search when it determines that external information is needed
### Troubleshooting
If you encounter issues with the search functionality:
- Verify that your API key is correct and active.
- Check that your API key starts with `tvly-`.
- Ensure you have an active internet connection.
- Check Tavily's status page for any service disruptions.
- Verify that your API key is correct and active
- Check that your API key starts with `tvly-`
- Ensure you have an active internet connection
- Check Tavily's status page for any service disruptions

View File

@@ -38,21 +38,6 @@ On initial prompt, an error is seen with `Permission Denied` or `PermissionError
* If mounting a local directory, ensure your `WORKSPACE_BASE` has the necessary permissions for the user running
OpenHands.
### Internal Server Error. Ports are not available
**Description**
When running on Windows, the error `Internal Server Error ("ports are not available: exposing port TCP
...: bind: An attempt was made to access a socket in a
way forbidden by its access permissions.")` is encountered.
**Resolution**
* Run the following command in PowerShell, as Administrator to reset the NAT service and release the ports:
```
Restart-Service -Name "winnat"
```
### Unable to access VS Code tab via local IP
**Description**

View File

@@ -133,66 +133,13 @@ This guide provides step-by-step instructions for running OpenHands on a Windows
> **Note**: If you're running the frontend in development mode (using `npm run dev`), use port 3001 instead: `http://localhost:3001`
## Installing and Running the CLI
To install and run the OpenHands CLI on Windows without WSL, follow these steps:
### 1. Install uv (Python Package Manager)
Open PowerShell as Administrator and run:
```powershell
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
```
### 2. Install .NET SDK (Required)
The OpenHands CLI **requires** the .NET Core runtime for PowerShell integration. Without it, the CLI will fail to start with a `coreclr` error. Install the .NET SDK which includes the runtime:
```powershell
winget install Microsoft.DotNet.SDK.8
```
Alternatively, you can download and install the .NET SDK from the [official Microsoft website](https://dotnet.microsoft.com/download).
After installation, restart your PowerShell session to ensure the environment variables are updated.
### 3. Install and Run OpenHands
After installing the prerequisites, you can install and run OpenHands with:
```powershell
uvx --python 3.12 --from openhands-ai openhands
```
### Troubleshooting CLI Issues
#### CoreCLR Error
If you encounter an error like `Failed to load CoreCLR` or `pythonnet.load('coreclr')` when running OpenHands CLI, this indicates that the .NET Core runtime is missing or not properly configured. To fix this:
1. Install the .NET SDK as described in step 2 above
2. Verify that your system PATH includes the .NET SDK directories
3. Restart your PowerShell session completely after installing the .NET SDK
4. Make sure you're using PowerShell 7 (pwsh) rather than Windows PowerShell
To verify your .NET installation, run:
```powershell
dotnet --info
```
This should display information about your installed .NET SDKs and runtimes. If this command fails, the .NET SDK is not properly installed or not in your PATH.
If the issue persists after installing the .NET SDK, try installing the specific .NET Runtime version 6.0 or later from the [.NET download page](https://dotnet.microsoft.com/download).
## Limitations on Windows
When running OpenHands on Windows without WSL or Docker, be aware of the following limitations:
1. **Browser Tool Not Supported**: The browser tool is not currently supported on Windows.
2. **.NET Core Requirement**: The PowerShell integration requires .NET Core Runtime to be installed. The CLI implementation attempts to load the CoreCLR at startup with `pythonnet.load('coreclr')` and will fail with an error if .NET Core is not properly installed.
2. **.NET Core Requirement**: The PowerShell integration requires .NET Core Runtime to be installed. If .NET Core is not available, OpenHands will automatically fall back to a more limited PowerShell implementation with reduced functionality.
3. **Interactive Shell Commands**: Some interactive shell commands may not work as expected. The PowerShell session implementation has limitations compared to the bash session used on Linux/macOS.

View File

@@ -101,14 +101,13 @@ The OpenHands evaluation harness supports a wide variety of benchmarks across [s
- SWE-Bench: [`evaluation/benchmarks/swe_bench`](./benchmarks/swe_bench)
- HumanEvalFix: [`evaluation/benchmarks/humanevalfix`](./benchmarks/humanevalfix)
- BIRD: [`evaluation/benchmarks/bird`](./benchmarks/bird)
- BioCoder: [`evaluation/benchmarks/biocoder`](./benchmarks/biocoder)
- BioCoder: [`evaluation/benchmarks/ml_bench`](./benchmarks/ml_bench)
- ML-Bench: [`evaluation/benchmarks/ml_bench`](./benchmarks/ml_bench)
- APIBench: [`evaluation/benchmarks/gorilla`](./benchmarks/gorilla/)
- ToolQA: [`evaluation/benchmarks/toolqa`](./benchmarks/toolqa/)
- AiderBench: [`evaluation/benchmarks/aider_bench`](./benchmarks/aider_bench/)
- Commit0: [`evaluation/benchmarks/commit0_bench`](./benchmarks/commit0_bench/)
- DiscoveryBench: [`evaluation/benchmarks/discoverybench`](./benchmarks/discoverybench/)
- TerminalBench: [`evaluation/benchmarks/terminal_bench`](./benchmarks/terminal_bench)
### Web Browsing

View File

@@ -3,20 +3,13 @@ import copy
import functools
import os
import re
import shutil
import zipfile
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 (
image_to_jpg_base64_url,
image_to_png_base64_url,
)
from evaluation.utils.shared import (
EvalMetadata,
EvalOutput,
@@ -104,44 +97,27 @@ def initialize_runtime(
if instance['file_name'] != '':
# if this question comes with a file, we need to save it to the workspace
assert metadata.data_split is not None
extension_name = instance['file_name'].split('.')[-1]
src_file = os.path.join(
DATASET_CACHE_DIR, '2023', metadata.data_split, instance['file_name']
)
assert os.path.exists(src_file)
if extension_name == 'zip':
temp_dir = os.path.join(
DATASET_CACHE_DIR, '2023', metadata.data_split, 'tmp_file'
)
os.makedirs(temp_dir, exist_ok=True)
with zipfile.ZipFile(src_file, 'r') as zip_ref:
zip_ref.extractall(temp_dir)
for root, dirs, files in os.walk(temp_dir):
for file in files:
dest_file = '/workspace'
runtime.copy_to(os.path.join(root, file), dest_file)
shutil.rmtree(temp_dir)
elif extension_name not in ['jpg', 'png']:
dest_file = '/workspace'
runtime.copy_to(src_file, dest_file)
dest_file = os.path.join('/workspace', instance['file_name'])
runtime.copy_to(src_file, dest_file)
# rename to file.extension_name
action = CmdRunAction(
command=f'mv /workspace/{instance["file_name"]} /workspace/file.{extension_name}'
)
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
assert obs.exit_code == 0
# rename to file.extension_name
extension_name = instance['file_name'].split('.')[-1]
action = CmdRunAction(
command=f'mv /workspace/{instance["file_name"]} /workspace/file.{extension_name}'
)
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
assert obs.exit_code == 0
action = CmdRunAction(command='cd /workspace')
logger.info(action, extra={'msg_type': 'ACTION'})
obs = runtime.run_action(action)
assert obs.exit_code == 0
action = CmdRunAction(
command='apt-get update && apt-get install -y ffmpeg && apt-get install -y ffprobe'
)
runtime.run_action(action)
logger.info(f'{"-" * 50} END Runtime Initialization Fn {"-" * 50}')
@@ -175,31 +151,8 @@ Here is the task:
task_question=instance['Question'],
)
logger.info(f'Instruction: {instruction}')
image_urls = []
if dest_file:
if extension_name not in ['jpg', 'png', 'zip']:
instruction += f'To solve this task you will have to use the attached file provided in the workspace at location: {dest_file}\n\n'
elif extension_name == 'zip':
filenames = []
src_file = os.path.join(
DATASET_CACHE_DIR, '2023', metadata.data_split, instance['file_name']
)
with zipfile.ZipFile(src_file, 'r') as zip_ref:
filenames = zip_ref.namelist()
filenames = [f'/workspace/{file}' for file in filenames]
filenames = ', '.join(filenames)
instruction += f'To solve this task you will have to use the attached files provided in the workspace at locations: {filenames}\n\n'
else: # Image files: jpg, png
src_file = os.path.join(
DATASET_CACHE_DIR, '2023', metadata.data_split, instance['file_name']
)
instruction += 'Image: To solve this task you will have to use the image shown below.\n\n'
image = Image.open(src_file)
if extension_name == 'jpg':
image_urls.append(image_to_jpg_base64_url(image))
else:
image_urls.append(image_to_png_base64_url(image))
instruction += f'\n\nThe mentioned file is provided in the workspace at: {dest_file.split("/")[-1]}'
instruction += """IMPORTANT: When seeking information from a website, REFRAIN from arbitrary URL navigation. You should utilize the designated search engine tool with precise keywords to obtain relevant URLs or use the specific website's search interface. DO NOT navigate directly to specific URLs as they may not exist.\n\nFor example: if you want to search for a research paper on Arxiv, either use the search engine tool with specific keywords or navigate to arxiv.org and then use its interface.\n"""
instruction += 'IMPORTANT: You should NEVER ask for Human Help.\n'
@@ -221,9 +174,7 @@ Here is the task:
state: State | None = asyncio.run(
run_controller(
config=config,
initial_user_action=MessageAction(
content=instruction, image_urls=image_urls
),
initial_user_action=MessageAction(content=instruction),
runtime=runtime,
fake_user_response_fn=AGENT_CLS_TO_FAKE_USER_RESPONSE_FN[
metadata.agent_class

View File

@@ -1,43 +0,0 @@
import base64
import io
import numpy as np
from PIL import Image
def image_to_png_base64_url(
image: np.ndarray | Image.Image, add_data_prefix: bool = True
):
"""Convert a numpy array to a base64 encoded png image url."""
if isinstance(image, np.ndarray):
image = Image.fromarray(image)
if image.mode in ('RGBA', 'LA'):
image = image.convert('RGB')
buffered = io.BytesIO()
image.save(buffered, format='PNG')
image_base64 = base64.b64encode(buffered.getvalue()).decode()
return (
f'data:image/png;base64,{image_base64}'
if add_data_prefix
else f'{image_base64}'
)
def image_to_jpg_base64_url(
image: np.ndarray | Image.Image, add_data_prefix: bool = True
):
"""Convert a numpy array to a base64 encoded jpeg image url."""
if isinstance(image, np.ndarray):
image = Image.fromarray(image)
if image.mode in ('RGBA', 'LA'):
image = image.convert('RGB')
buffered = io.BytesIO()
image.save(buffered, format='JPEG')
image_base64 = base64.b64encode(buffered.getvalue()).decode()
return (
f'data:image/jpeg;base64,{image_base64}'
if add_data_prefix
else f'{image_base64}'
)

View File

@@ -41,10 +41,6 @@ default, it is set to 1.
- `language`, the language of your evaluating dataset.
- `dataset`, the absolute position of the dataset jsonl.
**Skipping errors on build**
For debugging purposes, you can set `export EVAL_SKIP_MAXIMUM_RETRIES_EXCEEDED=true` to continue evaluation even when instances reach maximum retries. After evaluation completes, check `maximum_retries_exceeded.jsonl` for a list of failed instances, fix those issues, and then run the evaluation again with `export EVAL_SKIP_MAXIMUM_RETRIES_EXCEEDED=false`.
The results will be generated in evaluation/evaluation_outputs/outputs/XXX/CodeActAgent/YYY/output.jsonl, you can refer to the [example](examples/output.jsonl).
## Runing evaluation

View File

@@ -17,7 +17,6 @@ from evaluation.utils.shared import (
EvalMetadata,
EvalOutput,
assert_and_raise,
check_maximum_retries_exceeded,
codeact_user_response,
get_default_sandbox_config_for_eval,
get_metrics,
@@ -844,5 +843,3 @@ if __name__ == '__main__':
timeout_seconds=120 * 60, # 2 hour PER instance should be more than enough
max_retries=5,
)
# Check if any instances reached maximum retries
check_maximum_retries_exceeded(metadata.eval_output_dir)

View File

@@ -38,10 +38,6 @@ Please follow instruction [here](../../README.md#setup) to setup your local deve
> - If your LLM config has temperature=0, we will automatically use temperature=0.1 for the 2nd and 3rd attempts
>
> To enable this iterative protocol, set `export ITERATIVE_EVAL_MODE=true`
>
> **Skipping errors on build**
>
> For debugging purposes, you can set `export EVAL_SKIP_MAXIMUM_RETRIES_EXCEEDED=true` to continue evaluation even when instances reach maximum retries. After evaluation completes, check `maximum_retries_exceeded.jsonl` for a list of failed instances, fix those issues, and then run the evaluation again with `export EVAL_SKIP_MAXIMUM_RETRIES_EXCEEDED=false`.
### Running Locally with Docker

View File

@@ -1,45 +0,0 @@
# **Localization Evaluation for SWE-Bench**
This folder implements localization evaluation at both file and function levels to complementing the assessment of agent inference on [SWE-Bench](https://www.swebench.com/).
## **1. Environment Setup**
- Python env: [Install python environment](../../../README.md#development-environment)
- LLM config: [Configure LLM config](../../../README.md#configure-openhands-and-your-llm)
## **2. Inference & Evaluation**
- Inference and evaluation follow the original `run_infer.sh` and `run_eval.sh` implementation
- You may refer to instructions at [README.md](../README.md) for running inference and evaluation on SWE-Bench
## **3. Localization Evaluation**
- Localization evaluation computes two-level localization accuracy, while also considers task success as an additional metric for overall evaluation:
- **File Localization Accuracy:** Accuracy of correctly localizing the target file
- **Function Localization Accuracy:** Accuracy of correctly localizing the target function
- **Resolve Rate** (will be auto-skipped if missing): Success rate of whether tasks are successfully resolved
- **File Localization Efficiency:** Average number of iterations taken to successfully localize the target file
- **Function Localization Efficiency:** Average number of iterations taken to successfully localize the target file
- **Task success efficiency:** Average number of iterations taken to resolve the task
- **Resource efficiency:** the API expenditure of the agent running inference on SWE-Bench instances
- Run localization evaluation
- Format:
```bash
./evaluation/benchmarks/swe_bench/scripts/eval_localization.sh [infer-dir] [split] [dataset] [max-infer-turn] [align-with-max]
```
- `infer-dir`: inference directory containing inference outputs
- `split`: SWE-Bench dataset split to use
- `dataset`: SWE-Bench dataset name
- `max-infer-turn`: the maximum number of iterations the agent took to run inference
- `align-with-max`: whether to align failure indices (e.g., incorrect localization, unresolved tasks) with `max_iter`
- Example:
```bash
# Example
./evaluation/benchmarks/swe_bench/scripts/eval_localization.sh \
--infer-dir ./evaluation/evaluation_outputs/outputs/princeton-nlp__SWE-bench_Verified-test/CodeActAgent/gpt_4o_100_N \
--split test \
--dataset princeton-nlp/SWE-bench_Verified \
--max-infer-turn 100 \
--align-with-max true
```
- Localization evaluation results will be automatically saved to `[infer-dir]/loc_eval`

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