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Author SHA1 Message Date
openhands 257344849a Add RuntimeManager to centralize runtime management 2024-12-24 14:44:44 +00:00
2150 changed files with 16591 additions and 281180 deletions
-19
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@@ -1,19 +0,0 @@
// For format details, see: https://aka.ms/devcontainer.json
{
"name": "Python 3",
// Documentation for this image:
// - https://github.com/devcontainers/templates/tree/main/src/python
// - https://github.com/microsoft/vscode-remote-try-python
// - https://hub.docker.com/r/microsoft/devcontainers-python
"image": "mcr.microsoft.com/devcontainers/python:1-3.12-bullseye",
"features": {
"ghcr.io/devcontainers/features/docker-outside-of-docker:1": {},
"ghcr.io/devcontainers-extra/features/poetry:2": {},
"ghcr.io/devcontainers/features/node:1": {},
},
"postCreateCommand": ".devcontainer/setup.sh",
"runArgs": ["--add-host=host.docker.internal:host-gateway"],
"containerEnv": {
"DOCKER_HOST_ADDR": "host.docker.internal"
},
}
-11
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@@ -1,11 +0,0 @@
#!/bin/bash
# Mark the current repository as safe for Git to prevent "dubious ownership" errors,
# which can occur in containerized environments when directory ownership doesn't match the current user.
git config --global --add safe.directory "$(realpath .)"
# Install `nc`
sudo apt update && sudo apt install netcat -y
# Do common setup tasks
source .openhands/setup.sh
-23
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@@ -1,23 +0,0 @@
# NodeJS
frontend/node_modules
# Configuration (except pyproject.toml)
*.ini
*.toml
!pyproject.toml
*.yml
# Documentation (except README.md)
*.md
!README.md
# Hidden files and directories
.*
__pycache__
# Unneded files and directories
/dev_config/
/docs/
/evaluation/
/tests/
CITATION.cff
-5
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@@ -1,5 +0,0 @@
[*]
# force *nix line endings so files don't look modified in container run from Windows clone
end_of_line = lf
trim_trailing_whitespace = true
insert_final_newline = true
-7
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@@ -1,7 +0,0 @@
*.ipynb linguist-vendored
# force *nix line endings so files don't look modified in container run from Windows clone
* text eol=lf
# Git incorrectly thinks some media is text
*.png -text
*.mp4 -text
-12
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@@ -1,12 +0,0 @@
# CODEOWNERS file for OpenHands repository
# See https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners
# Frontend code owners
/frontend/ @rbren @amanape
/openhands-ui/ @amanape
# Evaluation code owners
/evaluation/ @xingyaoww @neubig
# Documentation code owners
/docs/ @mamoodi
-71
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@@ -1,71 +0,0 @@
name: Bug
description: Report a problem with OpenHands
title: '[Bug]: '
labels: ['bug']
body:
- type: markdown
attributes:
value: Thank you for taking the time to fill out this bug report. Please provide as much information as possible
to help us understand and address the issue effectively.
- type: checkboxes
attributes:
label: Is there an existing issue for the same bug? (If one exists, thumbs up or comment on the issue instead).
description: Please check if an issue already exists for the bug you encountered.
options:
- label: I have checked the existing issues.
required: true
- type: textarea
id: bug-description
attributes:
label: Describe the bug and reproduction steps
description: Provide a description of the issue along with any reproduction steps.
validations:
required: true
- type: dropdown
id: installation
attributes:
label: OpenHands Installation
description: How are you running OpenHands?
options:
- Docker command in README
- GitHub resolver
- Development workflow
- CLI
- app.all-hands.dev
- Other
default: 0
- type: input
id: openhands-version
attributes:
label: OpenHands Version
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:
label: Operating System
options:
- MacOS
- Linux
- WSL on Windows
- type: textarea
id: additional-context
attributes:
label: Logs, Errors, Screenshots, and Additional Context
description: Please provide any additional information you think might help. If you want to share the chat history
you can click the thumbs-down (👎) button above the input field and you will get a shareable link
(you can also click thumbs up when things are going well of course!). LLM logs will be stored in the
`logs/llm/default` folder. Please add any additional context about the problem here.
-17
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@@ -1,17 +0,0 @@
---
name: Feature Request or Enhancement
about: Suggest an idea for an OpenHands feature or enhancement
title: ''
labels: 'enhancement'
assignees: ''
---
**What problem or use case are you trying to solve?**
**Describe the UX or technical implementation you have in mind**
**Additional context**
### If you find this feature request or enhancement useful, make sure to add a 👍 to the issue
-80
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@@ -1,80 +0,0 @@
version: 2
updates:
- package-ecosystem: "pip"
directory: "/"
schedule:
interval: "daily"
open-pull-requests-limit: 1
groups:
# put packages in their own group if they have a history of breaking the build or needing to be reverted
pre-commit:
patterns:
- "pre-commit"
browsergym:
patterns:
- "browsergym*"
mcp-packages:
patterns:
- "mcp"
security-all:
applies-to: "security-updates"
patterns:
- "*"
version-all:
applies-to: "version-updates"
patterns:
- "*"
- package-ecosystem: "npm"
directory: "/frontend"
schedule:
interval: "daily"
open-pull-requests-limit: 1
groups:
docusaurus:
patterns:
- "*docusaurus*"
eslint:
patterns:
- "*eslint*"
security-all:
applies-to: "security-updates"
patterns:
- "*"
version-all:
applies-to: "version-updates"
patterns:
- "*"
- package-ecosystem: "npm"
directory: "/docs"
schedule:
interval: "weekly"
day: "wednesday"
open-pull-requests-limit: 1
groups:
docusaurus:
patterns:
- "*docusaurus*"
eslint:
patterns:
- "*eslint*"
security-all:
applies-to: "security-updates"
patterns:
- "*"
version-all:
applies-to: "version-updates"
patterns:
- "*"
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: "weekly"
- package-ecosystem: "docker"
directories:
- "containers/*"
schedule:
interval: "weekly"
-12
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@@ -1,12 +0,0 @@
- [ ] This change is worth documenting at https://docs.all-hands.dev/
- [ ] Include this change in the Release Notes. If checked, you **must** provide an **end-user friendly** description for your change below
**End-user friendly description of the problem this fixes or functionality this introduces.**
---
**Summarize what the PR does, explaining any non-trivial design decisions.**
---
**Link of any specific issues this addresses:**
@@ -1,73 +0,0 @@
#!/usr/bin/env python3
import os
import re
import sys
def find_version_references(directory: str) -> tuple[set[str], set[str]]:
openhands_versions = set()
runtime_versions = set()
version_pattern_openhands = re.compile(r'openhands:(\d{1})\.(\d{2})')
version_pattern_runtime = re.compile(r'runtime:(\d{1})\.(\d{2})')
for root, _, files in os.walk(directory):
# Skip .git directory and docs/build directory
if '.git' in root or 'docs/build' in root:
continue
for file in files:
if file.endswith(
('.md', '.yml', '.yaml', '.txt', '.html', '.py', '.js', '.ts')
):
file_path = os.path.join(root, file)
try:
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
# Find all openhands version references
matches = version_pattern_openhands.findall(content)
if matches:
print(f'Found openhands version {matches} in {file_path}')
openhands_versions.update(matches)
# Find all runtime version references
matches = version_pattern_runtime.findall(content)
if matches:
print(f'Found runtime version {matches} in {file_path}')
runtime_versions.update(matches)
except Exception as e:
print(f'Error reading {file_path}: {e}', file=sys.stderr)
return openhands_versions, runtime_versions
def main():
repo_root = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..'))
print(f'Checking version consistency in {repo_root}')
openhands_versions, runtime_versions = find_version_references(repo_root)
print(f'Found openhands versions: {sorted(openhands_versions)}')
print(f'Found runtime versions: {sorted(runtime_versions)}')
exit_code = 0
if len(openhands_versions) > 1:
print('Error: Multiple openhands versions found:', file=sys.stderr)
print('Found versions:', sorted(openhands_versions), file=sys.stderr)
exit_code = 1
elif len(openhands_versions) == 0:
print('Warning: No openhands version references found', file=sys.stderr)
if len(runtime_versions) > 1:
print('Error: Multiple runtime versions found:', file=sys.stderr)
print('Found versions:', sorted(runtime_versions), file=sys.stderr)
exit_code = 1
elif len(runtime_versions) == 0:
print('Warning: No runtime version references found', file=sys.stderr)
sys.exit(exit_code)
if __name__ == '__main__':
main()
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@@ -1,71 +0,0 @@
#!/bin/bash
set -euxo pipefail
# This script updates the PR description with commands to run the PR locally
# It adds both Docker and uvx commands
# Get the branch name for the PR
BRANCH_NAME=$(gh pr view "$PR_NUMBER" --json headRefName --jq .headRefName)
# Define the Docker command
DOCKER_RUN_COMMAND="docker run -it --rm \
-p 3000:3000 \
-v /var/run/docker.sock:/var/run/docker.sock \
--add-host host.docker.internal:host-gateway \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:${SHORT_SHA}-nikolaik \
--name openhands-app-${SHORT_SHA} \
docker.all-hands.dev/all-hands-ai/openhands:${SHORT_SHA}"
# Define the uvx command
UVX_RUN_COMMAND="uvx --python 3.12 --from git+https://github.com/All-Hands-AI/OpenHands@${BRANCH_NAME} openhands"
# Get the current PR body
PR_BODY=$(gh pr view "$PR_NUMBER" --json body --jq .body)
# Prepare the new PR body with both commands
if echo "$PR_BODY" | grep -q "To run this PR locally, use the following command:"; then
# For existing PR descriptions, use a more robust approach
# Split the PR body at the "To run this PR locally" section and replace everything after it
BEFORE_SECTION=$(echo "$PR_BODY" | sed '/To run this PR locally, use the following command:/,$d')
NEW_PR_BODY=$(cat <<EOF
${BEFORE_SECTION}
To run this PR locally, use the following command:
GUI with Docker:
\`\`\`
${DOCKER_RUN_COMMAND}
\`\`\`
CLI with uvx:
\`\`\`
${UVX_RUN_COMMAND}
\`\`\`
EOF
)
else
# For new PR descriptions: use heredoc safely without indentation
NEW_PR_BODY=$(cat <<EOF
$PR_BODY
---
To run this PR locally, use the following command:
GUI with Docker:
\`\`\`
${DOCKER_RUN_COMMAND}
\`\`\`
CLI with uvx:
\`\`\`
${UVX_RUN_COMMAND}
\`\`\`
EOF
)
fi
# Update the PR description
echo "Updating PR description with Docker and uvx commands"
gh pr edit "$PR_NUMBER" --body "$NEW_PR_BODY"
-69
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@@ -1,69 +0,0 @@
# Workflow that cleans up outdated and old workflows to prevent out of disk issues
name: Delete old workflow runs
# This workflow is currently only triggered manually
on:
workflow_dispatch:
inputs:
days:
description: 'Days-worth of runs to keep for each workflow'
required: true
default: '30'
minimum_runs:
description: 'Minimum runs to keep for each workflow'
required: true
default: '10'
delete_workflow_pattern:
description: 'Name or filename of the workflow (if not set, all workflows are targeted)'
required: false
delete_workflow_by_state_pattern:
description: 'Filter workflows by state: active, deleted, disabled_fork, disabled_inactivity, disabled_manually'
required: true
default: "ALL"
type: choice
options:
- "ALL"
- active
- deleted
- disabled_inactivity
- disabled_manually
delete_run_by_conclusion_pattern:
description: 'Remove runs based on conclusion: action_required, cancelled, failure, skipped, success'
required: true
default: 'ALL'
type: choice
options:
- 'ALL'
- 'Unsuccessful: action_required,cancelled,failure,skipped'
- action_required
- cancelled
- failure
- skipped
- success
dry_run:
description: 'Logs simulated changes, no deletions are performed'
required: false
jobs:
del_runs:
runs-on: blacksmith-4vcpu-ubuntu-2204
permissions:
actions: write
contents: read
steps:
- name: Delete workflow runs
uses: Mattraks/delete-workflow-runs@v2
with:
token: ${{ github.token }}
repository: ${{ github.repository }}
retain_days: ${{ github.event.inputs.days }}
keep_minimum_runs: ${{ github.event.inputs.minimum_runs }}
delete_workflow_pattern: ${{ github.event.inputs.delete_workflow_pattern }}
delete_workflow_by_state_pattern: ${{ github.event.inputs.delete_workflow_by_state_pattern }}
delete_run_by_conclusion_pattern: >-
${{
startsWith(github.event.inputs.delete_run_by_conclusion_pattern, 'Unsuccessful:')
&& 'action_required,cancelled,failure,skipped'
|| github.event.inputs.delete_run_by_conclusion_pattern
}}
dry_run: ${{ github.event.inputs.dry_run }}
-44
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@@ -1,44 +0,0 @@
# Workflow that runs frontend unit tests
name: Run Frontend Unit Tests
# * Always run on "main"
# * Run on PRs that have changes in the "frontend" folder or this workflow
on:
push:
branches:
- main
pull_request:
paths:
- "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:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
jobs:
# Run frontend unit tests
fe-test:
name: FE Unit Tests
runs-on: blacksmith-4vcpu-ubuntu-2204
strategy:
matrix:
node-version: [22]
fail-fast: true
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Set up Node.js
uses: useblacksmith/setup-node@v5
with:
node-version: ${{ matrix.node-version }}
- name: Install dependencies
working-directory: ./frontend
run: npm ci
- name: Run TypeScript compilation
working-directory: ./frontend
run: npm run build
- name: Run tests and collect coverage
working-directory: ./frontend
run: npm run test:coverage
-336
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@@ -1,336 +0,0 @@
# Workflow that builds, tests and then pushes the OpenHands and runtime docker images to the ghcr.io repository
name: Docker
# Always run on "main"
# Always run on tags
# Always run on PRs
# Can also be triggered manually
on:
push:
branches:
- main
tags:
- '*'
pull_request:
workflow_dispatch:
inputs:
reason:
description: 'Reason for manual trigger'
required: true
default: ''
# 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
env:
RELEVANT_SHA: ${{ github.event.pull_request.head.sha || github.sha }}
jobs:
define-matrix:
runs-on: blacksmith
outputs:
base_image: ${{ steps.define-base-images.outputs.base_image }}
steps:
- name: Define base images
shell: bash
id: define-base-images
run: |
# Only build nikolaik on PRs, otherwise build both nikolaik and ubuntu.
if [[ "$GITHUB_EVENT_NAME" == "pull_request" ]]; then
json=$(jq -n -c '[
{ image: "nikolaik/python-nodejs:python3.12-nodejs22", tag: "nikolaik" },
{ image: "ubuntu:24.04", tag: "ubuntu" }
]')
else
json=$(jq -n -c '[
{ image: "nikolaik/python-nodejs:python3.12-nodejs22", tag: "nikolaik" },
{ image: "ubuntu:24.04", tag: "ubuntu" }
]')
fi
echo "base_image=$json" >> "$GITHUB_OUTPUT"
# Builds the OpenHands Docker images
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
steps:
- name: Checkout
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha }}
- name: Set up QEMU
uses: docker/setup-qemu-action@v3.6.0
with:
image: tonistiigi/binfmt:latest
- name: Login to GHCR
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Lowercase Repository Owner
run: |
echo REPO_OWNER=$(echo ${{ github.repository_owner }} | tr '[:upper:]' '[:lower:]') >> $GITHUB_ENV
- name: Build and push app image
if: "!github.event.pull_request.head.repo.fork"
run: |
./containers/build.sh -i openhands -o ${{ env.REPO_OWNER }} --push
# 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'))"
permissions:
contents: read
packages: write
needs: define-matrix
strategy:
matrix:
base_image: ${{ fromJson(needs.define-matrix.outputs.base_image) }}
steps:
- name: Checkout
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha }}
- name: Set up QEMU
uses: docker/setup-qemu-action@v3.6.0
with:
image: tonistiigi/binfmt:latest
- name: Login to GHCR
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- 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: Install Python dependencies using Poetry
run: make install-python-dependencies POETRY_GROUP=main INSTALL_PLAYWRIGHT=0
- name: Create source distribution and Dockerfile
run: poetry run python3 openhands/runtime/utils/runtime_build.py --base_image ${{ matrix.base_image.image }} --build_folder containers/runtime --force_rebuild
- name: Lowercase Repository Owner
run: |
echo REPO_OWNER=$(echo ${{ github.repository_owner }} | tr '[:upper:]' '[:lower:]') >> $GITHUB_ENV
- name: Short SHA
run: |
echo SHORT_SHA=$(git rev-parse --short "$RELEVANT_SHA") >> $GITHUB_ENV
- name: Determine docker build params
if: github.event.pull_request.head.repo.fork != true
shell: bash
run: |
./containers/build.sh -i runtime -o ${{ env.REPO_OWNER }} -t ${{ matrix.base_image.tag }} --dry
DOCKER_BUILD_JSON=$(jq -c . < docker-build-dry.json)
echo "DOCKER_TAGS=$(echo "$DOCKER_BUILD_JSON" | jq -r '.tags | join(",")')" >> $GITHUB_ENV
echo "DOCKER_PLATFORM=$(echo "$DOCKER_BUILD_JSON" | jq -r '.platform')" >> $GITHUB_ENV
echo "DOCKER_BUILD_ARGS=$(echo "$DOCKER_BUILD_JSON" | jq -r '.build_args | join(",")')" >> $GITHUB_ENV
- name: Build and push runtime image ${{ matrix.base_image.image }}
if: github.event.pull_request.head.repo.fork != true
uses: useblacksmith/build-push-action@v1
with:
push: true
tags: ${{ env.DOCKER_TAGS }}
platforms: ${{ env.DOCKER_PLATFORM }}
build-args: ${{ env.DOCKER_BUILD_ARGS }}
context: containers/runtime
provenance: false
# Forked repos can't push to GHCR, so we just build in order to populate the cache for rebuilding
- name: Build runtime image ${{ matrix.base_image.image }} for fork
if: github.event.pull_request.head.repo.fork
uses: useblacksmith/build-push-action@v1
with:
tags: ghcr.io/${{ env.REPO_OWNER }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image.tag }}
context: containers/runtime
- name: Upload runtime source for fork
if: github.event.pull_request.head.repo.fork
uses: actions/upload-artifact@v4
with:
name: runtime-src-${{ matrix.base_image.tag }}
path: containers/runtime
# Run unit tests with the Docker runtime Docker images as root
test_runtime_root:
name: RT Unit Tests (Root)
needs: [ghcr_build_runtime, define-matrix]
runs-on: blacksmith-8vcpu-ubuntu-2204
strategy:
fail-fast: false
matrix:
base_image: ${{ fromJson(needs.define-matrix.outputs.base_image) }}
steps:
- uses: actions/checkout@v4
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Download runtime source for fork
if: github.event.pull_request.head.repo.fork
uses: actions/download-artifact@v4
with:
name: runtime-src-${{ matrix.base_image.tag }}
path: containers/runtime
- name: Lowercase Repository Owner
run: |
echo REPO_OWNER=$(echo ${{ github.repository_owner }} | tr '[:upper:]' '[:lower:]') >> $GITHUB_ENV
# Forked repos can't push to GHCR, so we need to rebuild using cache
- name: Build runtime image ${{ matrix.base_image.image }} for fork
if: github.event.pull_request.head.repo.fork
uses: useblacksmith/build-push-action@v1
with:
load: true
tags: ghcr.io/${{ env.REPO_OWNER }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image.tag }}
context: containers/runtime
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: useblacksmith/setup-python@v6
with:
python-version: '3.12'
cache: 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
# Install to be able to retry on failures for flaky tests
poetry run pip install pytest-rerunfailures
image_name=ghcr.io/${{ env.REPO_OWNER }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image.tag }}
# Setting RUN_AS_OPENHANDS to false means use root.
# That should mean SANDBOX_USER_ID is ignored but some tests do not check for RUN_AS_OPENHANDS.
TEST_RUNTIME=docker \
SANDBOX_USER_ID=$(id -u) \
SANDBOX_RUNTIME_CONTAINER_IMAGE=$image_name \
TEST_IN_CI=true \
RUN_AS_OPENHANDS=false \
poetry run pytest -n 7 -raRs --reruns 2 --reruns-delay 5 -s ./tests/runtime --ignore=tests/runtime/test_browsergym_envs.py --durations=10
env:
DEBUG: "1"
# Run unit tests with the Docker runtime Docker images as openhands user
test_runtime_oh:
name: RT Unit Tests (openhands)
runs-on: blacksmith-8vcpu-ubuntu-2204
needs: [ghcr_build_runtime, define-matrix]
strategy:
matrix:
base_image: ${{ fromJson(needs.define-matrix.outputs.base_image) }}
steps:
- uses: actions/checkout@v4
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Download runtime source for fork
if: github.event.pull_request.head.repo.fork
uses: actions/download-artifact@v4
with:
name: runtime-src-${{ matrix.base_image.tag }}
path: containers/runtime
- name: Lowercase Repository Owner
run: |
echo REPO_OWNER=$(echo ${{ github.repository_owner }} | tr '[:upper:]' '[:lower:]') >> $GITHUB_ENV
# Forked repos can't push to GHCR, so we need to rebuild using cache
- name: Build runtime image ${{ matrix.base_image.image }} for fork
if: github.event.pull_request.head.repo.fork
uses: useblacksmith/build-push-action@v1
with:
load: true
tags: ghcr.io/${{ env.REPO_OWNER }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image.tag }}
context: containers/runtime
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: useblacksmith/setup-python@v6
with:
python-version: '3.12'
cache: 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
# Install to be able to retry on failures for flaky tests
poetry run pip install pytest-rerunfailures
image_name=ghcr.io/${{ env.REPO_OWNER }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image.tag }}
TEST_RUNTIME=docker \
SANDBOX_USER_ID=$(id -u) \
SANDBOX_RUNTIME_CONTAINER_IMAGE=$image_name \
TEST_IN_CI=true \
RUN_AS_OPENHANDS=true \
poetry run pytest -n 7 -raRs --reruns 2 --reruns-delay 5 -s ./tests/runtime --ignore=tests/runtime/test_browsergym_envs.py --durations=10
env:
DEBUG: "1"
# The two following jobs (named identically) are to check whether all the runtime tests have passed as the
# "All Runtime Tests Passed" is a required job for PRs to merge
# Due to this bug: https://github.com/actions/runner/issues/2566, we want to create a job that runs when the
# prerequisites have been cancelled or failed so merging is disallowed, otherwise Github considers "skipped" as "success"
runtime_tests_check_success:
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]
steps:
- name: All tests passed
run: echo "All runtime tests have passed successfully!"
runtime_tests_check_fail:
name: All Runtime Tests Passed
if: ${{ cancelled() || contains(needs.*.result, 'failure') || contains(needs.*.result, 'cancelled') }}
runs-on: blacksmith-4vcpu-ubuntu-2204
needs: [test_runtime_root, test_runtime_oh]
steps:
- name: Some tests failed
run: |
echo "Some runtime tests failed or were cancelled"
exit 1
update_pr_description:
name: Update PR Description
if: github.event_name == 'pull_request' && !github.event.pull_request.head.repo.fork && github.actor != 'dependabot[bot]'
needs: [ghcr_build_runtime]
runs-on: blacksmith-4vcpu-ubuntu-2204
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Get short SHA
id: short_sha
run: echo "SHORT_SHA=$(echo ${{ github.event.pull_request.head.sha }} | cut -c1-7)" >> $GITHUB_OUTPUT
- name: Update PR Description
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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 with Docker and uvx commands"
bash ${GITHUB_WORKSPACE}/.github/scripts/update_pr_description.sh
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@@ -1,199 +0,0 @@
name: Run Integration Tests
on:
pull_request:
types: [labeled]
workflow_dispatch:
inputs:
reason:
description: 'Reason for manual trigger'
required: true
default: ''
schedule:
- cron: '30 22 * * *' # Runs at 10:30pm UTC every day
env:
N_PROCESSES: 10 # Global configuration for number of parallel processes for evaluation
jobs:
run-integration-tests:
if: github.event.label.name == 'integration-test' || github.event_name == 'workflow_dispatch' || github.event_name == 'schedule'
runs-on: blacksmith-4vcpu-ubuntu-2204
permissions:
contents: "read"
id-token: "write"
pull-requests: "write"
issues: "write"
strategy:
matrix:
python-version: ["3.12"]
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: useblacksmith/setup-python@v6
with:
python-version: ${{ matrix.python-version }}
cache: "poetry"
- name: Setup Node.js
uses: useblacksmith/setup-node@v5
with:
node-version: '22.x'
- name: Comment on PR if 'integration-test' label is present
if: github.event_name == 'pull_request' && github.event.label.name == 'integration-test'
uses: KeisukeYamashita/create-comment@v1
with:
unique: false
comment: |
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
- name: Configure config.toml for testing with Haiku
env:
LLM_MODEL: "litellm_proxy/claude-3-5-haiku-20241022"
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
MAX_ITERATIONS: 10
run: |
echo "[llm.eval]" > config.toml
echo "model = \"$LLM_MODEL\"" >> config.toml
echo "api_key = \"$LLM_API_KEY\"" >> config.toml
echo "base_url = \"$LLM_BASE_URL\"" >> config.toml
echo "temperature = 0.0" >> config.toml
- name: Build environment
run: make build
- name: Run integration test evaluation for Haiku
env:
SANDBOX_FORCE_REBUILD_RUNTIME: True
run: |
poetry run ./evaluation/integration_tests/scripts/run_infer.sh llm.eval HEAD CodeActAgent '' 10 $N_PROCESSES '' 'haiku_run'
# get integration tests report
REPORT_FILE_HAIKU=$(find evaluation/evaluation_outputs/outputs/integration_tests/CodeActAgent/*haiku*_maxiter_10_N* -name "report.md" -type f | head -n 1)
echo "REPORT_FILE: $REPORT_FILE_HAIKU"
echo "INTEGRATION_TEST_REPORT_HAIKU<<EOF" >> $GITHUB_ENV
cat $REPORT_FILE_HAIKU >> $GITHUB_ENV
echo >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
- name: Wait a little bit
run: sleep 10
- name: Configure config.toml for testing with DeepSeek
env:
LLM_MODEL: "litellm_proxy/deepseek-chat"
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
MAX_ITERATIONS: 10
run: |
echo "[llm.eval]" > config.toml
echo "model = \"$LLM_MODEL\"" >> config.toml
echo "api_key = \"$LLM_API_KEY\"" >> config.toml
echo "base_url = \"$LLM_BASE_URL\"" >> config.toml
echo "temperature = 0.0" >> config.toml
- name: Run integration test evaluation for DeepSeek
env:
SANDBOX_FORCE_REBUILD_RUNTIME: True
run: |
poetry run ./evaluation/integration_tests/scripts/run_infer.sh llm.eval HEAD CodeActAgent '' 10 $N_PROCESSES '' 'deepseek_run'
# get integration tests report
REPORT_FILE_DEEPSEEK=$(find evaluation/evaluation_outputs/outputs/integration_tests/CodeActAgent/deepseek*_maxiter_10_N* -name "report.md" -type f | head -n 1)
echo "REPORT_FILE: $REPORT_FILE_DEEPSEEK"
echo "INTEGRATION_TEST_REPORT_DEEPSEEK<<EOF" >> $GITHUB_ENV
cat $REPORT_FILE_DEEPSEEK >> $GITHUB_ENV
echo >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
# -------------------------------------------------------------
# Run VisualBrowsingAgent tests for DeepSeek, limited to t05 and t06
- name: Wait a little bit (again)
run: sleep 5
- name: Configure config.toml for testing VisualBrowsingAgent (DeepSeek)
env:
LLM_MODEL: "litellm_proxy/deepseek-chat"
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
MAX_ITERATIONS: 15
run: |
echo "[llm.eval]" > config.toml
echo "model = \"$LLM_MODEL\"" >> config.toml
echo "api_key = \"$LLM_API_KEY\"" >> config.toml
echo "base_url = \"$LLM_BASE_URL\"" >> config.toml
echo "temperature = 0.0" >> config.toml
- name: Run integration test evaluation for VisualBrowsingAgent (DeepSeek)
env:
SANDBOX_FORCE_REBUILD_RUNTIME: True
run: |
poetry run ./evaluation/integration_tests/scripts/run_infer.sh llm.eval HEAD VisualBrowsingAgent '' 15 $N_PROCESSES "t05_simple_browsing,t06_github_pr_browsing.py" 'visualbrowsing_deepseek_run'
# Find and export the visual browsing agent test results
REPORT_FILE_VISUALBROWSING_DEEPSEEK=$(find evaluation/evaluation_outputs/outputs/integration_tests/VisualBrowsingAgent/deepseek*_maxiter_15_N* -name "report.md" -type f | head -n 1)
echo "REPORT_FILE_VISUALBROWSING_DEEPSEEK: $REPORT_FILE_VISUALBROWSING_DEEPSEEK"
echo "INTEGRATION_TEST_REPORT_VISUALBROWSING_DEEPSEEK<<EOF" >> $GITHUB_ENV
cat $REPORT_FILE_VISUALBROWSING_DEEPSEEK >> $GITHUB_ENV
echo >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
- name: Create archive of evaluation outputs
run: |
TIMESTAMP=$(date +'%y-%m-%d-%H-%M')
cd evaluation/evaluation_outputs/outputs # Change to the outputs directory
tar -czvf ../../../integration_tests_${TIMESTAMP}.tar.gz integration_tests/CodeActAgent/* integration_tests/VisualBrowsingAgent/* # Only include the actual result directories
- name: Upload evaluation results as artifact
uses: actions/upload-artifact@v4
id: upload_results_artifact
with:
name: integration-test-outputs-${{ github.run_id }}-${{ github.run_attempt }}
path: integration_tests_*.tar.gz
- name: Get artifact URLs
run: |
echo "ARTIFACT_URL=${{ steps.upload_results_artifact.outputs.artifact-url }}" >> $GITHUB_ENV
- name: Set timestamp and trigger reason
run: |
echo "TIMESTAMP=$(date +'%Y-%m-%d-%H-%M')" >> $GITHUB_ENV
if [[ "${{ github.event_name }}" == "pull_request" ]]; then
echo "TRIGGER_REASON=pr-${{ github.event.pull_request.number }}" >> $GITHUB_ENV
elif [[ "${{ github.event_name }}" == "workflow_dispatch" ]]; then
echo "TRIGGER_REASON=manual-${{ github.event.inputs.reason }}" >> $GITHUB_ENV
else
echo "TRIGGER_REASON=nightly-scheduled" >> $GITHUB_ENV
fi
- name: Comment with results and artifact link
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 }}
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' }}
Commit: ${{ github.sha }}
**Integration Tests Report (Haiku)**
Haiku LLM Test Results:
${{ env.INTEGRATION_TEST_REPORT_HAIKU }}
---
**Integration Tests Report (DeepSeek)**
DeepSeek LLM Test Results:
${{ env.INTEGRATION_TEST_REPORT_DEEPSEEK }}
---
**Integration Tests Report VisualBrowsing (DeepSeek)**
${{ env.INTEGRATION_TEST_REPORT_VISUALBROWSING_DEEPSEEK }}
---
Download testing outputs (includes both Haiku and DeepSeek results): [Download](${{ steps.upload_results_artifact.outputs.artifact-url }})
-91
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@@ -1,91 +0,0 @@
name: Lint Fix
on:
pull_request:
types: [labeled]
jobs:
# Frontend lint fixes
lint-fix-frontend:
if: github.event.label.name == 'lint-fix'
name: Fix frontend linting issues
runs-on: blacksmith-4vcpu-ubuntu-2204
permissions:
contents: write
pull-requests: write
steps:
- uses: actions/checkout@v4
with:
ref: ${{ github.head_ref }}
repository: ${{ github.event.pull_request.head.repo.full_name }}
fetch-depth: 0
token: ${{ secrets.GITHUB_TOKEN }}
- name: Install Node.js 22
uses: useblacksmith/setup-node@v5
with:
node-version: 22
- name: Install frontend dependencies
run: |
cd frontend
npm install --frozen-lockfile
- name: Fix frontend lint issues
run: |
cd frontend
npm run lint:fix
# Commit and push changes if any
- name: Check for changes
id: git-check
run: |
git diff --quiet || echo "changes=true" >> $GITHUB_OUTPUT
- name: Commit and push if there are changes
if: steps.git-check.outputs.changes == 'true'
run: |
git config --local user.email "openhands@all-hands.dev"
git config --local user.name "OpenHands Bot"
git add -A
git commit -m "🤖 Auto-fix frontend linting issues"
git push
# Python lint fixes
lint-fix-python:
if: github.event.label.name == 'lint-fix'
name: Fix Python linting issues
runs-on: blacksmith-4vcpu-ubuntu-2204
permissions:
contents: write
pull-requests: write
steps:
- uses: actions/checkout@v4
with:
ref: ${{ github.head_ref }}
repository: ${{ github.event.pull_request.head.repo.full_name }}
fetch-depth: 0
token: ${{ secrets.GITHUB_TOKEN }}
- name: Set up python
uses: useblacksmith/setup-python@v6
with:
python-version: 3.12
cache: "pip"
- name: Install pre-commit
run: pip install pre-commit==3.7.0
- name: Fix python lint issues
run: |
# Run all pre-commit hooks and continue even if they modify files (exit code 1)
pre-commit run --config ./dev_config/python/.pre-commit-config.yaml --all-files || true
# Commit and push changes if any
- name: Check for changes
id: git-check
run: |
git diff --quiet || echo "changes=true" >> $GITHUB_OUTPUT
- name: Commit and push if there are changes
if: steps.git-check.outputs.changes == 'true'
run: |
git config --local user.email "openhands@all-hands.dev"
git config --local user.name "OpenHands Bot"
git add -A
git commit -m "🤖 Auto-fix Python linting issues"
git push
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@@ -1,69 +0,0 @@
# Workflow that runs lint on the frontend and python code
name: Lint
# The jobs in this workflow are required, so they must run at all times
# Always run on "main"
# Always run on PRs
on:
push:
branches:
- 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
concurrency:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
jobs:
# Run lint on the frontend code
lint-frontend:
name: Lint frontend
runs-on: blacksmith-4vcpu-ubuntu-2204
steps:
- uses: actions/checkout@v4
- name: Install Node.js 22
uses: useblacksmith/setup-node@v5
with:
node-version: 22
- name: Install dependencies
run: |
cd frontend
npm install --frozen-lockfile
- name: Lint, TypeScript compilation, and translation checks
run: |
cd frontend
npm run lint
npm run make-i18n && tsc
npm run check-translation-completeness
# Run lint on the python code
lint-python:
name: Lint python
runs-on: blacksmith-4vcpu-ubuntu-2204
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up python
uses: useblacksmith/setup-python@v6
with:
python-version: 3.12
cache: "pip"
- name: Install pre-commit
run: pip install pre-commit==3.7.0
- name: Run pre-commit hooks
run: pre-commit run --all-files --show-diff-on-failure --config ./dev_config/python/.pre-commit-config.yaml
# Check version consistency across documentation
check-version-consistency:
name: Check version consistency
runs-on: blacksmith-4vcpu-ubuntu-2204
steps:
- uses: actions/checkout@v4
- name: Set up python
uses: useblacksmith/setup-python@v6
with:
python-version: 3.12
- name: Run version consistency check
run: .github/scripts/check_version_consistency.py
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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"
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@@ -1,433 +0,0 @@
name: Auto-Fix Tagged Issue with OpenHands
on:
workflow_call:
inputs:
max_iterations:
required: false
type: number
default: 50
macro:
required: false
type: string
default: "@openhands-agent"
target_branch:
required: false
type: string
default: "main"
description: "Target branch to pull and create PR against"
pr_type:
required: false
type: string
default: "draft"
description: "The PR type that is going to be created (draft, ready)"
LLM_MODEL:
required: false
type: string
default: "anthropic/claude-sonnet-4-20250514"
LLM_API_VERSION:
required: false
type: string
default: ""
base_container_image:
required: false
type: string
default: ""
description: "Custom sandbox env"
runner:
required: false
type: string
default: "ubuntu-latest"
secrets:
LLM_MODEL:
required: false
LLM_API_KEY:
required: true
LLM_BASE_URL:
required: false
PAT_TOKEN:
required: false
PAT_USERNAME:
required: false
issues:
types: [labeled]
pull_request:
types: [labeled]
issue_comment:
types: [created]
pull_request_review_comment:
types: [created]
pull_request_review:
types: [submitted]
permissions:
contents: write
pull-requests: write
issues: write
jobs:
auto-fix:
if: |
github.event_name == 'workflow_call' ||
github.event.label.name == 'fix-me' ||
github.event.label.name == 'fix-me-experimental' ||
(
((github.event_name == 'issue_comment' || github.event_name == 'pull_request_review_comment') &&
contains(github.event.comment.body, inputs.macro || '@openhands-agent') &&
(github.event.comment.author_association == 'OWNER' || github.event.comment.author_association == 'COLLABORATOR' || github.event.comment.author_association == 'MEMBER')
) ||
(github.event_name == 'pull_request_review' &&
contains(github.event.review.body, inputs.macro || '@openhands-agent') &&
(github.event.review.author_association == 'OWNER' || github.event.review.author_association == 'COLLABORATOR' || github.event.review.author_association == 'MEMBER')
)
)
runs-on: "${{ inputs.runner || 'ubuntu-latest' }}"
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Upgrade pip
run: |
python -m pip install --upgrade pip
- name: Get latest versions and create requirements.txt
run: |
python -m pip index versions openhands-ai > openhands_versions.txt
OPENHANDS_VERSION=$(head -n 1 openhands_versions.txt | awk '{print $2}' | tr -d '()')
# Create a new requirements.txt locally within the workflow, ensuring no reference to the repo's file
echo "openhands-ai==${OPENHANDS_VERSION}" > /tmp/requirements.txt
cat /tmp/requirements.txt
- name: Cache pip dependencies
if: |
!(
github.event.label.name == 'fix-me-experimental' ||
(
(github.event_name == 'issue_comment' || github.event_name == 'pull_request_review_comment') &&
contains(github.event.comment.body, '@openhands-agent-exp')
) ||
(
github.event_name == 'pull_request_review' &&
contains(github.event.review.body, '@openhands-agent-exp')
)
)
uses: actions/cache@v4
with:
path: ${{ env.pythonLocation }}/lib/python3.12/site-packages/*
key: ${{ runner.os }}-pip-openhands-resolver-${{ hashFiles('/tmp/requirements.txt') }}
restore-keys: |
${{ runner.os }}-pip-openhands-resolver-${{ hashFiles('/tmp/requirements.txt') }}
- name: Check required environment variables
env:
LLM_MODEL: ${{ secrets.LLM_MODEL || inputs.LLM_MODEL }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
LLM_API_VERSION: ${{ inputs.LLM_API_VERSION }}
PAT_TOKEN: ${{ secrets.PAT_TOKEN }}
PAT_USERNAME: ${{ secrets.PAT_USERNAME }}
GITHUB_TOKEN: ${{ github.token }}
run: |
required_vars=("LLM_API_KEY")
for var in "${required_vars[@]}"; do
if [ -z "${!var}" ]; then
echo "Error: Required environment variable $var is not set."
exit 1
fi
done
# Check optional variables and warn about fallbacks
if [ -z "$LLM_BASE_URL" ]; then
echo "Warning: LLM_BASE_URL is not set, will use default API endpoint"
fi
if [ -z "$PAT_TOKEN" ]; then
echo "Warning: PAT_TOKEN is not set, falling back to GITHUB_TOKEN"
fi
if [ -z "$PAT_USERNAME" ]; then
echo "Warning: PAT_USERNAME is not set, will use openhands-agent"
fi
- name: Set environment variables
env:
REVIEW_BODY: ${{ github.event.review.body || '' }}
run: |
# Handle pull request events first
if [ -n "${{ github.event.pull_request.number }}" ]; then
echo "ISSUE_NUMBER=${{ github.event.pull_request.number }}" >> $GITHUB_ENV
echo "ISSUE_TYPE=pr" >> $GITHUB_ENV
# Handle pull request review events
elif [ -n "$REVIEW_BODY" ]; then
echo "ISSUE_NUMBER=${{ github.event.pull_request.number }}" >> $GITHUB_ENV
echo "ISSUE_TYPE=pr" >> $GITHUB_ENV
# Handle issue comment events that reference a PR
elif [ -n "${{ github.event.issue.pull_request }}" ]; then
echo "ISSUE_NUMBER=${{ github.event.issue.number }}" >> $GITHUB_ENV
echo "ISSUE_TYPE=pr" >> $GITHUB_ENV
# Handle regular issue events
else
echo "ISSUE_NUMBER=${{ github.event.issue.number }}" >> $GITHUB_ENV
echo "ISSUE_TYPE=issue" >> $GITHUB_ENV
fi
if [ -n "$REVIEW_BODY" ]; then
echo "COMMENT_ID=${{ github.event.review.id || 'None' }}" >> $GITHUB_ENV
else
echo "COMMENT_ID=${{ github.event.comment.id || 'None' }}" >> $GITHUB_ENV
fi
echo "MAX_ITERATIONS=${{ inputs.max_iterations || 50 }}" >> $GITHUB_ENV
echo "SANDBOX_ENV_GITHUB_TOKEN=${{ secrets.PAT_TOKEN || github.token }}" >> $GITHUB_ENV
echo "SANDBOX_BASE_CONTAINER_IMAGE=${{ inputs.base_container_image }}" >> $GITHUB_ENV
# Set branch variables
echo "TARGET_BRANCH=${{ inputs.target_branch || 'main' }}" >> $GITHUB_ENV
- name: Comment on issue with start message
uses: actions/github-script@v7
with:
github-token: ${{ secrets.PAT_TOKEN || github.token }}
script: |
const issueType = process.env.ISSUE_TYPE;
github.rest.issues.createComment({
issue_number: ${{ env.ISSUE_NUMBER }},
owner: context.repo.owner,
repo: context.repo.repo,
body: `[OpenHands](https://github.com/All-Hands-AI/OpenHands) started fixing the ${issueType}! You can monitor the progress [here](https://github.com/${context.repo.owner}/${context.repo.repo}/actions/runs/${context.runId}).`
});
- name: Install OpenHands
id: install_openhands
uses: actions/github-script@v7
env:
COMMENT_BODY: ${{ github.event.comment.body || '' }}
REVIEW_BODY: ${{ github.event.review.body || '' }}
LABEL_NAME: ${{ github.event.label.name || '' }}
EVENT_NAME: ${{ github.event_name }}
with:
script: |
const commentBody = process.env.COMMENT_BODY.trim();
const reviewBody = process.env.REVIEW_BODY.trim();
const labelName = process.env.LABEL_NAME.trim();
const eventName = process.env.EVENT_NAME.trim();
// Check conditions
const isExperimentalLabel = labelName === "fix-me-experimental";
const isIssueCommentExperimental =
(eventName === "issue_comment" || eventName === "pull_request_review_comment") &&
commentBody.includes("@openhands-agent-exp");
const isReviewCommentExperimental =
eventName === "pull_request_review" && reviewBody.includes("@openhands-agent-exp");
// Set output variable
core.setOutput('isExperimental', isExperimentalLabel || isIssueCommentExperimental || isReviewCommentExperimental);
// Perform package installation
if (isExperimentalLabel || isIssueCommentExperimental || isReviewCommentExperimental) {
console.log("Installing experimental OpenHands...");
await exec.exec("pip install git+https://github.com/all-hands-ai/openhands.git");
} else {
console.log("Installing from requirements.txt...");
await exec.exec("pip install -r /tmp/requirements.txt");
}
- name: Attempt to resolve issue
env:
GITHUB_TOKEN: ${{ secrets.PAT_TOKEN || github.token }}
GITHUB_USERNAME: ${{ secrets.PAT_USERNAME || 'openhands-agent' }}
GIT_USERNAME: ${{ secrets.PAT_USERNAME || 'openhands-agent' }}
LLM_MODEL: ${{ secrets.LLM_MODEL || inputs.LLM_MODEL }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
LLM_API_VERSION: ${{ inputs.LLM_API_VERSION }}
PYTHONPATH: ""
run: |
cd /tmp && python -m openhands.resolver.resolve_issue \
--selected-repo ${{ github.repository }} \
--issue-number ${{ env.ISSUE_NUMBER }} \
--issue-type ${{ env.ISSUE_TYPE }} \
--max-iterations ${{ env.MAX_ITERATIONS }} \
--comment-id ${{ env.COMMENT_ID }} \
--is-experimental ${{ steps.install_openhands.outputs.isExperimental }}
- name: Check resolution result
id: check_result
run: |
if cd /tmp && grep -q '"success":true' output/output.jsonl; then
echo "RESOLUTION_SUCCESS=true" >> $GITHUB_OUTPUT
else
echo "RESOLUTION_SUCCESS=false" >> $GITHUB_OUTPUT
fi
- name: Upload output.jsonl as artifact
uses: actions/upload-artifact@v4
if: always() # Upload even if the previous steps fail
with:
name: resolver-output
path: /tmp/output/output.jsonl
retention-days: 30 # Keep the artifact for 30 days
- name: Create draft PR or push branch
if: always() # Create PR or branch even if the previous steps fail
env:
GITHUB_TOKEN: ${{ secrets.PAT_TOKEN || github.token }}
GITHUB_USERNAME: ${{ secrets.PAT_USERNAME || 'openhands-agent' }}
GIT_USERNAME: ${{ secrets.PAT_USERNAME || 'openhands-agent' }}
LLM_MODEL: ${{ secrets.LLM_MODEL || inputs.LLM_MODEL }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
LLM_API_VERSION: ${{ inputs.LLM_API_VERSION }}
PYTHONPATH: ""
run: |
if [ "${{ steps.check_result.outputs.RESOLUTION_SUCCESS }}" == "true" ]; then
cd /tmp && python -m openhands.resolver.send_pull_request \
--issue-number ${{ env.ISSUE_NUMBER }} \
--target-branch ${{ env.TARGET_BRANCH }} \
--pr-type ${{ inputs.pr_type || 'draft' }} \
--reviewer ${{ github.actor }} | tee pr_result.txt && \
grep "PR created" pr_result.txt | sed 's/.*\///g' > pr_number.txt
else
cd /tmp && python -m openhands.resolver.send_pull_request \
--issue-number ${{ env.ISSUE_NUMBER }} \
--pr-type branch \
--send-on-failure | tee branch_result.txt && \
grep "branch created" branch_result.txt | sed 's/.*\///g; s/.expand=1//g' > branch_name.txt
fi
# Step leaves comment for when agent is invoked on PR
- name: Analyze Push Logs (Updated PR or No Changes) # Skip comment if PR update was successful OR leave comment if the agent made no code changes
uses: actions/github-script@v7
if: always()
env:
AGENT_RESPONDED: ${{ env.AGENT_RESPONDED || 'false' }}
ISSUE_NUMBER: ${{ env.ISSUE_NUMBER }}
with:
github-token: ${{ secrets.PAT_TOKEN || github.token }}
script: |
const fs = require('fs');
const issueNumber = process.env.ISSUE_NUMBER;
let logContent = '';
try {
logContent = fs.readFileSync('/tmp/pr_result.txt', 'utf8').trim();
} catch (error) {
console.error('Error reading pr_result.txt file:', error);
}
const noChangesMessage = `No changes to commit for issue #${issueNumber}. Skipping commit.`;
// Check logs from send_pull_request.py (pushes code to GitHub)
if (logContent.includes("Updated pull request")) {
console.log("Updated pull request found. Skipping comment.");
process.env.AGENT_RESPONDED = 'true';
} else if (logContent.includes(noChangesMessage)) {
github.rest.issues.createComment({
issue_number: issueNumber,
owner: context.repo.owner,
repo: context.repo.repo,
body: `The workflow to fix this issue encountered an error. Openhands failed to create any code changes.`
});
process.env.AGENT_RESPONDED = 'true';
}
# Step leaves comment for when agent is invoked on issue
- name: Comment on issue # Comment link to either PR or branch created by agent
uses: actions/github-script@v7
if: always() # Comment on issue even if the previous steps fail
env:
AGENT_RESPONDED: ${{ env.AGENT_RESPONDED || 'false' }}
ISSUE_NUMBER: ${{ env.ISSUE_NUMBER }}
RESOLUTION_SUCCESS: ${{ steps.check_result.outputs.RESOLUTION_SUCCESS }}
with:
github-token: ${{ secrets.PAT_TOKEN || github.token }}
script: |
const fs = require('fs');
const path = require('path');
const issueNumber = process.env.ISSUE_NUMBER;
const success = process.env.RESOLUTION_SUCCESS === 'true';
let prNumber = '';
let branchName = '';
let resultExplanation = '';
try {
if (success) {
prNumber = fs.readFileSync('/tmp/pr_number.txt', 'utf8').trim();
} else {
branchName = fs.readFileSync('/tmp/branch_name.txt', 'utf8').trim();
}
} catch (error) {
console.error('Error reading file:', error);
}
try {
if (!success){
// Read result_explanation from JSON file for failed resolution
const outputFilePath = path.resolve('/tmp/output/output.jsonl');
if (fs.existsSync(outputFilePath)) {
const outputContent = fs.readFileSync(outputFilePath, 'utf8');
const jsonLines = outputContent.split('\n').filter(line => line.trim() !== '');
if (jsonLines.length > 0) {
// First entry in JSON lines has the key 'result_explanation'
const firstEntry = JSON.parse(jsonLines[0]);
resultExplanation = firstEntry.result_explanation || '';
}
}
}
} catch (error){
console.error('Error reading file:', error);
}
// Check "success" log from resolver output
if (success && prNumber) {
github.rest.issues.createComment({
issue_number: issueNumber,
owner: context.repo.owner,
repo: context.repo.repo,
body: `A potential fix has been generated and a draft PR #${prNumber} has been created. Please review the changes.`
});
process.env.AGENT_RESPONDED = 'true';
} else if (!success && branchName) {
let commentBody = `An attempt was made to automatically fix this issue, but it was unsuccessful. A branch named '${branchName}' has been created with the attempted changes. You can view the branch [here](https://github.com/${context.repo.owner}/${context.repo.repo}/tree/${branchName}). Manual intervention may be required.`;
if (resultExplanation) {
commentBody += `\n\nAdditional details about the failure:\n${resultExplanation}`;
}
github.rest.issues.createComment({
issue_number: issueNumber,
owner: context.repo.owner,
repo: context.repo.repo,
body: commentBody
});
process.env.AGENT_RESPONDED = 'true';
}
# Leave error comment when both PR/Issue comment handling fail
- name: Fallback Error Comment
uses: actions/github-script@v7
if: ${{ env.AGENT_RESPONDED == 'false' }} # Only run if no conditions were met in previous steps
env:
ISSUE_NUMBER: ${{ env.ISSUE_NUMBER }}
with:
github-token: ${{ secrets.PAT_TOKEN || github.token }}
script: |
const issueNumber = process.env.ISSUE_NUMBER;
github.rest.issues.createComment({
issue_number: issueNumber,
owner: context.repo.owner,
repo: context.repo.repo,
body: `The workflow to fix this issue encountered an error. Please check the [workflow logs](https://github.com/${context.repo.owner}/${context.repo.repo}/actions/runs/${context.runId}) for more information.`
});
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@@ -1,87 +0,0 @@
# Workflow that runs python tests
name: Run Python Tests
# The jobs in this workflow are required, so they must run at all times
# * Always run on "main"
# * Always run on PRs
on:
push:
branches:
- 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
concurrency:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
jobs:
# Run python tests on Linux
test-on-linux:
name: Python Tests on Linux
runs-on: blacksmith-4vcpu-ubuntu-2204
env:
INSTALL_DOCKER: '0' # Set to '0' to skip Docker installation
strategy:
matrix:
python-version: ['3.12']
steps:
- uses: actions/checkout@v4
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Install tmux
run: sudo apt-get update && sudo apt-get install -y tmux
- name: Setup Node.js
uses: useblacksmith/setup-node@v5
with:
node-version: '22.x'
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: useblacksmith/setup-python@v6
with:
python-version: ${{ matrix.python-version }}
cache: 'poetry'
- name: Install Python dependencies using Poetry
run: poetry install --with dev,test,runtime
- name: Build Environment
run: make build
- name: Run Unit Tests
run: PYTHONPATH=".:$PYTHONPATH" poetry run pytest --forked -n auto -svv ./tests/unit
- name: Run Runtime Tests with CLIRuntime
run: PYTHONPATH=".:$PYTHONPATH" TEST_RUNTIME=cli poetry run pytest -svv tests/runtime/test_bash.py
- name: Run E2E Tests
run: PYTHONPATH=".:$PYTHONPATH" poetry run pytest -svv tests/e2e
# Run specific Windows python tests
test-on-windows:
name: Python Tests on Windows
runs-on: windows-latest
strategy:
matrix:
python-version: ['3.12']
steps:
- uses: actions/checkout@v4
- name: Install pipx
run: pip install pipx
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
cache: 'poetry'
- name: Install Python dependencies using Poetry
run: poetry install --with dev,test,runtime
- name: Run Windows unit tests
run: poetry run pytest -svv tests/unit/test_windows_bash.py
env:
PYTHONPATH: ".;$env:PYTHONPATH"
DEBUG: "1"
- name: Run Windows runtime tests with LocalRuntime
run: $env:TEST_RUNTIME="local"; poetry run pytest -svv tests/runtime/test_bash.py
env:
PYTHONPATH: ".;$env:PYTHONPATH"
TEST_RUNTIME: local
DEBUG: "1"
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@@ -1,31 +0,0 @@
# Publishes the OpenHands PyPi package
name: Publish PyPi Package
# Triggered manually
on:
workflow_dispatch:
inputs:
reason:
description: 'Reason for manual trigger'
required: true
default: ''
jobs:
release:
runs-on: blacksmith-4vcpu-ubuntu-2204
steps:
- uses: actions/checkout@v4
- uses: useblacksmith/setup-python@v6
with:
python-version: 3.12
- name: Install Poetry
uses: snok/install-poetry@v1.4.1
with:
virtualenvs-in-project: true
virtualenvs-path: ~/.virtualenvs
- name: Install Poetry Dependencies
run: poetry install --no-interaction --no-root
- name: Build poetry project
run: ./build.sh
- name: publish
run: poetry publish -u __token__ -p ${{ secrets.PYPI_TOKEN }}
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# Run evaluation on a PR, after releases, or manually
name: Run Eval
# Runs when a PR is labeled with one of the "run-eval-" labels, after releases, or manually triggered
on:
pull_request:
types: [labeled]
release:
types: [published]
workflow_dispatch:
inputs:
branch:
description: 'Branch to evaluate'
required: true
default: 'main'
eval_instances:
description: 'Number of evaluation instances'
required: true
default: '50'
type: choice
options:
- '1'
- '2'
- '50'
- '100'
reason:
description: 'Reason for manual trigger'
required: false
default: ''
env:
# Environment variable for the master GitHub issue number where all evaluation results will be commented
# This should be set to the issue number where you want all evaluation results to be posted
MASTER_EVAL_ISSUE_NUMBER: ${{ vars.MASTER_EVAL_ISSUE_NUMBER || '0' }}
jobs:
trigger-job:
name: Trigger remote eval job
if: ${{ (github.event_name == 'pull_request' && (github.event.label.name == 'run-eval-1' || github.event.label.name == 'run-eval-2' || github.event.label.name == 'run-eval-50' || github.event.label.name == 'run-eval-100')) || github.event_name == 'release' || github.event_name == 'workflow_dispatch' }}
runs-on: blacksmith-4vcpu-ubuntu-2204
steps:
- name: Checkout branch
uses: actions/checkout@v4
with:
ref: ${{ github.event_name == 'pull_request' && github.head_ref || (github.event_name == 'workflow_dispatch' && github.event.inputs.branch) || github.ref }}
- name: Set evaluation parameters
id: eval_params
run: |
REPO_URL="https://github.com/${{ github.repository }}"
echo "Repository URL: $REPO_URL"
# Determine branch based on trigger type
if [[ "${{ github.event_name }}" == "pull_request" ]]; then
EVAL_BRANCH="${{ github.head_ref }}"
echo "PR Branch: $EVAL_BRANCH"
elif [[ "${{ github.event_name }}" == "workflow_dispatch" ]]; then
EVAL_BRANCH="${{ github.event.inputs.branch }}"
echo "Manual Branch: $EVAL_BRANCH"
else
# For release events, use the tag name or main branch
EVAL_BRANCH="${{ github.ref_name }}"
echo "Release Branch/Tag: $EVAL_BRANCH"
fi
# Determine evaluation instances based on trigger type
if [[ "${{ github.event_name }}" == "pull_request" ]]; then
if [[ "${{ github.event.label.name }}" == "run-eval-1" ]]; then
EVAL_INSTANCES="1"
elif [[ "${{ github.event.label.name }}" == "run-eval-2" ]]; then
EVAL_INSTANCES="2"
elif [[ "${{ github.event.label.name }}" == "run-eval-50" ]]; then
EVAL_INSTANCES="50"
elif [[ "${{ github.event.label.name }}" == "run-eval-100" ]]; then
EVAL_INSTANCES="100"
fi
elif [[ "${{ github.event_name }}" == "workflow_dispatch" ]]; then
EVAL_INSTANCES="${{ github.event.inputs.eval_instances }}"
else
# For release events, default to 50 instances
EVAL_INSTANCES="50"
fi
echo "Evaluation instances: $EVAL_INSTANCES"
echo "repo_url=$REPO_URL" >> $GITHUB_OUTPUT
echo "eval_branch=$EVAL_BRANCH" >> $GITHUB_OUTPUT
echo "eval_instances=$EVAL_INSTANCES" >> $GITHUB_OUTPUT
- name: Trigger remote job
run: |
# Determine PR number for the remote evaluation system
if [[ "${{ github.event_name }}" == "pull_request" ]]; then
PR_NUMBER="${{ github.event.pull_request.number }}"
else
# For non-PR triggers, use the master issue number as PR number
PR_NUMBER="${{ env.MASTER_EVAL_ISSUE_NUMBER }}"
fi
curl -X POST \
-H "Authorization: Bearer ${{ secrets.PAT_TOKEN }}" \
-H "Accept: application/vnd.github+json" \
-d "{\"ref\": \"main\", \"inputs\": {\"github-repo\": \"${{ steps.eval_params.outputs.repo_url }}\", \"github-branch\": \"${{ steps.eval_params.outputs.eval_branch }}\", \"pr-number\": \"${PR_NUMBER}\", \"eval-instances\": \"${{ steps.eval_params.outputs.eval_instances }}\"}}" \
https://api.github.com/repos/All-Hands-AI/evaluation/actions/workflows/create-branch.yml/dispatches
# Send Slack message
if [[ "${{ github.event_name }}" == "pull_request" ]]; then
TRIGGER_URL="https://github.com/${{ github.repository }}/pull/${{ github.event.pull_request.number }}"
slack_text="PR $TRIGGER_URL has triggered evaluation on ${{ steps.eval_params.outputs.eval_instances }} instances..."
elif [[ "${{ github.event_name }}" == "release" ]]; then
TRIGGER_URL="https://github.com/${{ github.repository }}/releases/tag/${{ github.ref_name }}"
slack_text="Release $TRIGGER_URL has triggered evaluation on ${{ steps.eval_params.outputs.eval_instances }} instances..."
else
TRIGGER_URL="https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}"
slack_text="Manual trigger (${{ github.event.inputs.reason || 'No reason provided' }}) has triggered evaluation on ${{ steps.eval_params.outputs.eval_instances }} instances for branch ${{ steps.eval_params.outputs.eval_branch }}..."
fi
curl -X POST -H 'Content-type: application/json' --data '{"text":"'"$slack_text"'"}' \
https://hooks.slack.com/services/${{ secrets.SLACK_TOKEN }}
- name: Comment on issue/PR
uses: KeisukeYamashita/create-comment@v1
with:
# For PR triggers, comment on the PR. For other triggers, comment on the master issue
number: ${{ github.event_name == 'pull_request' && github.event.pull_request.number || env.MASTER_EVAL_ISSUE_NUMBER }}
unique: false
comment: |
**Evaluation Triggered**
**Trigger:** ${{ github.event_name == 'pull_request' && format('Pull Request #{0}', github.event.pull_request.number) || (github.event_name == 'release' && 'Release') || format('Manual Trigger: {0}', github.event.inputs.reason || 'No reason provided') }}
**Branch:** ${{ steps.eval_params.outputs.eval_branch }}
**Instances:** ${{ steps.eval_params.outputs.eval_instances }}
**Commit:** ${{ github.sha }}
Running evaluation on the specified branch. Once eval is done, the results will be posted here.
-22
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@@ -1,22 +0,0 @@
# Workflow that marks issues and PRs with no activity for 30 days with "Stale" and closes them after 7 more days of no activity
name: 'Close stale issues'
# Runs every day at 01:30
on:
schedule:
- cron: '30 1 * * *'
jobs:
stale:
runs-on: blacksmith-4vcpu-ubuntu-2204
steps:
- uses: actions/stale@v9
with:
stale-issue-message: 'This issue is stale because it has been open for 40 days with no activity. Remove the stale label or leave a comment, otherwise it will be closed in 10 days.'
stale-pr-message: 'This PR is stale because it has been open for 40 days with no activity. Remove the stale label or leave a comment, otherwise it will be closed in 10 days.'
days-before-stale: 40
exempt-issue-labels: 'roadmap'
close-issue-message: 'This issue was automatically closed due to 50 days of inactivity. We do this to help keep the issues somewhat manageable and focus on active issues.'
close-pr-message: 'This PR was closed because it had no activity for 50 days. If you feel this was closed in error, and you would like to continue the PR, please resubmit or let us know.'
days-before-close: 10
operations-per-run: 150
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@@ -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
@@ -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: ${{ secrets.GITHUB_TOKEN }}
draft: true
allowUpdates: true
-256
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@@ -1,256 +0,0 @@
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
./lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
requirements.txt
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
.python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
# poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
frontend/.env
.venv
env/
venv/
ENV/
env.bak/
.env.bak
venv.bak/
*venv/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
.idea/
# VS Code: Ignore all but certain files that specify repo-specific settings.
# https://stackoverflow.com/questions/32964920/should-i-commit-the-vscode-folder-to-source-control
.vscode/**/*
!.vscode/extensions.json
!.vscode/settings.json
!.vscode/tasks.json
# VS Code extensions/forks:
.cursorignore
.rooignore
.clineignore
.windsurfignore
.cursorrules
.roorules
.clinerules
.windsurfrules
.cursor/rules
.roo/rules
.cline/rules
.windsurf/rules
.repomix
repomix-output.txt
# evaluation
evaluation/evaluation_outputs
evaluation/outputs
evaluation/swe_bench/eval_workspace*
evaluation/SWE-bench/data
evaluation/webarena/scripts/webarena_env.sh
evaluation/bird/data
evaluation/gaia/data
evaluation/gorilla/data
evaluation/toolqa/data
evaluation/scienceagentbench/benchmark
evaluation/commit0_bench/repos
# openhands resolver
output/
# frontend
# dependencies
frontend/.pnp
frontend/bun.lockb
frontend/yarn.lock
.pnp.js
# testing
frontend/coverage
test_results*
/_test_files_tmp/
# production
frontend/build
frontend/dist
# misc
.DS_Store
.env.local
.env.development.local
.env.test.local
.env.production.local
npm-debug.log*
yarn-debug.log*
yarn-error.log*
logs
# agent
.envrc
/workspace
/_test_workspace
/debug
cache
# configuration
config.toml
config.toml_
config.toml.bak
# swe-bench-eval
image_build_logs
run_instance_logs
runtime_*.tar
# docker build
containers/runtime/Dockerfile
containers/runtime/project.tar.gz
containers/runtime/code
**/node_modules/
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22
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---
name: documentation
type: knowledge
version: 1.0.0
agent: CodeActAgent
triggers:
- documentation
- docs
- document
---
# Documentation Guidelines
All documentation must be grounded in fact, so you must not make anything up without proper evidence. When you have finished writing documentation, convey to the user what reference source, including web pages, source code, or other sources of documentation you referenced when writing each new fact in the documentation. If you cannot reference a source for anything do not include it in the pull request.
## Best Practices for Documentation
1. **Be Factual**: Only include information that can be verified from reliable sources.
2. **Cite Sources**: Always reference the source of information (code, web pages, official documentation).
3. **Be Clear and Concise**: Use simple language and avoid unnecessary jargon.
4. **Use Examples**: Include practical examples to illustrate concepts.
5. **Structure Properly**: Use headings, lists, and code blocks to organize information.
6. **Keep Updated**: Ensure documentation reflects the current state of the code or system.
## Documentation Process
1. Research and gather information from reliable sources
2. Draft documentation based on verified facts
3. Review for accuracy and completeness
4. Include references for all factual statements
5. Submit only when all information is properly sourced
Remember: If you cannot verify a piece of information, it's better to exclude it than to include potentially incorrect information.
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# OpenHands Glossary
### Agent
The core AI entity in OpenHands that can perform software development tasks by interacting with tools, browsing the web, and modifying code.
#### Agent Controller
A component that manages the agent's lifecycle, handles its state, and coordinates interactions between the agent and various tools.
#### Agent Delegation
The ability of an agent to hand off specific tasks to other specialized agents for better task completion.
#### Agent Hub
A central registry of different agent types and their capabilities, allowing for easy agent selection and instantiation.
#### Agent Skill
A specific capability or function that an agent can perform, such as file manipulation, web browsing, or code editing.
#### Agent State
The current context and status of an agent, including its memory, active tools, and ongoing tasks.
#### CodeAct Agent
[A generalist agent in OpenHands](https://arxiv.org/abs/2407.16741) designed to perform tasks by editing and executing code.
### Browser
A system for web-based interactions and tasks.
#### Browser Gym
A testing and evaluation environment for browser-based agent interactions and tasks.
#### Web Browser Tool
A tool that enables agents to interact with web pages and perform web-based tasks.
### Commands
Terminal and execution related functionality.
#### Bash Session
A persistent terminal session that maintains state and history for bash command execution.
This uses tmux under the hood.
### Configuration
System-wide settings and options.
#### Agent Configuration
Settings that define an agent's behavior, capabilities, and limitations, including available tools and runtime settings.
#### Configuration Options
Settings that control various aspects of OpenHands behavior, including runtime, security, and agent settings.
#### LLM Config
Configuration settings for language models used by agents, including model selection and parameters.
#### LLM Draft Config
Settings for draft mode operations with language models, typically used for faster, lower-quality responses.
#### Runtime Configuration
Settings that define how the runtime environment should be set up and operated.
#### Security Options
Configuration settings that control security features and restrictions.
### Conversation
A sequence of interactions between a user and an agent, including messages, actions, and their results.
#### Conversation Info
Metadata about a conversation, including its status, participants, and timeline.
#### Conversation Manager
A component that handles the creation, storage, and retrieval of conversations.
#### Conversation Metadata
Additional information about conversations, such as tags, timestamps, and related resources.
#### Conversation Status
The current state of a conversation, including whether it's active, completed, or failed.
#### Conversation Store
A storage system for maintaining conversation history and related data.
### Events
#### Event
Every Conversation comprises a series of Events. Each Event is either an Action or an Observation.
#### Event Stream
A continuous flow of events that represents the ongoing activities and interactions in the system.
#### Action
A specific operation or command that an agent executes through available tools, such as running a command or editing a file.
#### Observation
The response or result returned by a tool after an agent's action, providing feedback about the action's outcome.
### Interface
Different ways to interact with OpenHands.
#### CLI Mode
A command-line interface mode for interacting with OpenHands agents without a graphical interface.
#### GUI Mode
A graphical user interface mode for interacting with OpenHands agents through a web interface.
#### Headless Mode
A mode of operation where OpenHands runs without a user interface, suitable for automation and scripting.
### Agent Memory
The system that decides which parts of the Event Stream (i.e. the conversation history) should be passed into each LLM prompt.
#### Memory Store
A storage system for maintaining agent memory and context across sessions.
#### Condenser
A component that processes and summarizes conversation history to maintain context while staying within token limits.
#### Truncation
A very simple Condenser strategy. Reduces conversation history or content to stay within token limits.
### Microagent
A specialized prompt that enhances OpenHands with domain-specific knowledge, repository-specific context, and task-specific workflows.
#### Microagent Registry
A central repository of available microagents and their configurations.
#### Public Microagent
A general-purpose microagent available to all OpenHands users, triggered by specific keywords. Located in `microagents/`.
#### Repository Microagent
A type of microagent that provides repository-specific context and guidelines, stored in the `.openhands/microagents/` directory.
### Prompt
Components for managing and processing prompts.
#### Prompt Caching
A system for caching and reusing common prompts to improve performance.
#### Prompt Manager
A component that handles the loading, processing, and management of prompts used by agents, including microagents.
#### Response Parsing
The process of interpreting and structuring responses from language models and tools.
### Runtime
The execution environment where agents perform their tasks, which can be local, remote, or containerized.
#### Action Execution Server
A REST API that receives agent actions (e.g. bash commands, python code, browsing actions), executes them in the runtime environment, and returns the results.
#### Action Execution Client
A component that handles the execution of actions in the runtime environment, managing the communication between the agent and the runtime.
#### Docker Runtime
A containerized runtime environment that provides isolation and reproducibility for agent operations.
#### E2B Runtime
A specialized runtime environment built on E2B for secure and isolated code execution.
#### Local Runtime
A runtime environment that executes on the local machine, suitable for development and testing.
#### Modal Runtime
A runtime environment built on Modal for scalable and distributed agent operations.
#### Remote Runtime
A sandboxed environment that executes code and commands remotely, providing isolation and security for agent operations.
#### Runtime Builder
A component that builds a Docker image for the Action Execution Server based on a user-specified base image.
### Security
Security-related components and features.
#### Security Analyzer
A component that checks agent actions for potential security risks.
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This repository contains the code for OpenHands, an automated AI software engineer. It has a Python backend
(in the `openhands` directory) and React frontend (in the `frontend` directory).
## General Setup:
To set up the entire repo, including frontend and backend, run `make build`.
You don't need to do this unless the user asks you to, or if you're trying to run the entire application.
## Running OpenHands with OpenHands:
To run the full application to debug issues:
```bash
export INSTALL_DOCKER=0
export RUNTIME=local
make build && make run FRONTEND_PORT=12000 FRONTEND_HOST=0.0.0.0 BACKEND_HOST=0.0.0.0 &> /tmp/openhands-log.txt &
```
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.
If either command fails, it may have automatically fixed some issues. You should fix any issues that weren't automatically fixed,
then re-run the command to ensure it passes. Common issues include:
- Mypy type errors
- Ruff formatting issues
- Trailing whitespace
- Missing newlines at end of files
## Git Best Practices
- Prefer specific `git add <filename>` instead of `git add .` to avoid accidentally staging unintended files
- Be especially careful with `git reset --hard` after staging files, as it will remove accidentally staged files
- When remote has new changes, use `git fetch upstream && git rebase upstream/<branch>` on the same branch
## Repository Structure
Backend:
- Located in the `openhands` directory
- Testing:
- All tests are in `tests/unit/test_*.py`
- To test new code, run `poetry run pytest tests/unit/test_xxx.py` where `xxx` is the appropriate file for the current functionality
- Write all tests with pytest
Frontend:
- Located in the `frontend` directory
- Prerequisites: A recent version of NodeJS / NPM
- Setup: Run `npm install` in the frontend directory
- Testing:
- Run tests: `npm run test`
- To run specific tests: `npm run test -- -t "TestName"`
- Our test framework is vitest
- Building:
- Build for production: `npm run build`
- Environment Variables:
- Set in `frontend/.env` or as environment variables
- Available variables: VITE_BACKEND_HOST, VITE_USE_TLS, VITE_INSECURE_SKIP_VERIFY, VITE_FRONTEND_PORT
- Internationalization:
- Generate i18n declaration file: `npm run make-i18n`
- Data Fetching & Cache Management:
- We use TanStack Query (fka React Query) for data fetching and cache management
- Data Access Layer: API client methods are located in `frontend/src/api` and should never be called directly from UI components - they must always be wrapped with TanStack Query
- Custom hooks are located in `frontend/src/hooks/query/` and `frontend/src/hooks/mutation/`
- Query hooks should follow the pattern use[Resource] (e.g., `useConversationMicroagents`)
- 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`.
## Implementation Details
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:
- Actions are defined in `frontend/src/types/action-type.ts`
- The `HANDLED_ACTIONS` array in `frontend/src/state/chat-slice.ts` determines which actions are displayed as collapsible UI elements
- To add a new action type to the UI:
1. Add the action type to the `HANDLED_ACTIONS` array
2. Implement the action handling in `addAssistantAction` function in chat-slice.ts
3. Add a translation key in the format `ACTION_MESSAGE$ACTION_NAME` to the i18n files
- Actions with `thought` property are displayed in the UI based on their action type:
- Regular actions (like "run", "edit") display the thought as a separate message
- Special actions (like "think") are displayed as collapsible elements only
#### Adding User Settings:
- To add a new user setting to OpenHands, follow these steps:
1. Add the setting to the frontend:
- Add the setting to the `Settings` type in `frontend/src/types/settings.ts`
- Add the setting to the `ApiSettings` type in the same file
- Add the setting with an appropriate default value to `DEFAULT_SETTINGS` in `frontend/src/services/settings.ts`
- Update the `useSettings` hook in `frontend/src/hooks/query/use-settings.ts` to map the API response
- Update the `useSaveSettings` hook in `frontend/src/hooks/mutation/use-save-settings.ts` to include the setting in API requests
- Add UI components (like toggle switches) in the appropriate settings screen (e.g., `frontend/src/routes/app-settings.tsx`)
- Add i18n translations for the setting name and any tooltips in `frontend/src/i18n/translation.json`
- Add the translation key to `frontend/src/i18n/declaration.ts`
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
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#!/bin/bash
echo "Running OpenHands pre-commit hook..."
echo "This hook runs selective linting based on changed files."
# Store the exit code to return at the end
# This allows us to be additive to existing pre-commit hooks
EXIT_CODE=0
# Get the list of staged files
STAGED_FILES=$(git diff --cached --name-only)
# Check if any files match specific patterns
has_frontend_changes=false
has_backend_changes=false
has_vscode_changes=false
# Check each file individually to avoid issues with grep
for file in $STAGED_FILES; do
if [[ $file == frontend/* ]]; then
has_frontend_changes=true
elif [[ $file == openhands/* || $file == evaluation/* || $file == tests/* ]]; then
has_backend_changes=true
# Check for VSCode extension changes (subset of backend changes)
if [[ $file == openhands/integrations/vscode/* ]]; then
has_vscode_changes=true
fi
fi
done
echo "Analyzing changes..."
echo "- Frontend changes: $has_frontend_changes"
echo "- Backend changes: $has_backend_changes"
echo "- VSCode extension changes: $has_vscode_changes"
# Run frontend linting if needed
if [ "$has_frontend_changes" = true ]; then
# Check if we're in a CI environment or if frontend dependencies are missing
if [ -n "$CI" ] || ! command -v react-router &> /dev/null || ! command -v vitest &> /dev/null; then
echo "Skipping frontend checks (CI environment or missing dependencies detected)."
echo "WARNING: Frontend files have changed but frontend checks are being skipped."
echo "Please run 'make lint-frontend' manually before submitting your PR."
else
echo "Running frontend linting..."
make lint-frontend
if [ $? -ne 0 ]; then
echo "Frontend linting failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "Frontend linting checks passed!"
fi
# Run additional frontend checks
if [ -d "frontend" ]; then
echo "Running additional frontend checks..."
cd frontend || exit 1
# Run build
echo "Running npm build..."
npm run build
if [ $? -ne 0 ]; then
echo "Frontend build failed. Please fix the issues before committing."
EXIT_CODE=1
fi
# Run tests
echo "Running npm test..."
npm test
if [ $? -ne 0 ]; then
echo "Frontend tests failed. Please fix the failing tests before committing."
EXIT_CODE=1
fi
cd ..
fi
fi
else
echo "Skipping frontend checks (no frontend changes detected)."
fi
# Run backend linting if needed
if [ "$has_backend_changes" = true ]; then
echo "Running backend linting..."
make lint-backend
if [ $? -ne 0 ]; then
echo "Backend linting failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "Backend linting checks passed!"
fi
else
echo "Skipping backend checks (no backend changes detected)."
fi
# Run VSCode extension checks if needed
if [ "$has_vscode_changes" = true ]; then
# Check if we're in a CI environment
if [ -n "$CI" ]; then
echo "Skipping VSCode extension checks (CI environment detected)."
echo "WARNING: VSCode extension files have changed but checks are being skipped."
echo "Please run VSCode extension checks manually before submitting your PR."
else
echo "Running VSCode extension checks..."
if [ -d "openhands/integrations/vscode" ]; then
cd openhands/integrations/vscode || exit 1
echo "Running npm lint:fix..."
npm run lint:fix
if [ $? -ne 0 ]; then
echo "VSCode extension linting failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "VSCode extension linting passed!"
fi
echo "Running npm typecheck..."
npm run typecheck
if [ $? -ne 0 ]; then
echo "VSCode extension type checking failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "VSCode extension type checking passed!"
fi
echo "Running npm compile..."
npm run compile
if [ $? -ne 0 ]; then
echo "VSCode extension compilation failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "VSCode extension compilation passed!"
fi
cd ../../..
fi
fi
else
echo "Skipping VSCode extension checks (no VSCode extension changes detected)."
fi
# If no specific code changes detected, run basic checks
if [ "$has_frontend_changes" = false ] && [ "$has_backend_changes" = false ]; then
echo "No specific code changes detected. Running basic checks..."
if [ -n "$STAGED_FILES" ]; then
# Run only basic pre-commit hooks for non-code files
poetry run pre-commit run --files $(echo "$STAGED_FILES" | tr '\n' ' ') --hook-stage commit --config ./dev_config/python/.pre-commit-config.yaml
if [ $? -ne 0 ]; then
echo "Basic checks failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "Basic checks passed!"
fi
else
echo "No files changed. Skipping basic checks."
fi
fi
# Run any existing pre-commit hooks that might have been installed by the user
# This makes our hook additive rather than replacing existing hooks
if [ -f ".git/hooks/pre-commit.local" ]; then
echo "Running existing pre-commit hooks..."
bash .git/hooks/pre-commit.local
if [ $? -ne 0 ]; then
echo "Existing pre-commit hooks failed."
EXIT_CODE=1
fi
fi
if [ $EXIT_CODE -eq 0 ]; then
echo "All pre-commit checks passed!"
else
echo "Some pre-commit checks failed. Please fix the issues before committing."
fi
exit $EXIT_CODE
-13
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@@ -1,13 +0,0 @@
#! /bin/bash
echo "Setting up the environment..."
# Install pre-commit package
python -m pip install pre-commit
# Install pre-commit hooks if .git directory exists
if [ -d ".git" ]; then
echo "Installing pre-commit hooks..."
pre-commit install
make install-pre-commit-hooks
fi
-6
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@@ -1,6 +0,0 @@
{
// force *nix line endings so files don't look modified in container run from Windows clone
"files.eol": "\n",
"files.trimTrailingWhitespace": true,
"files.insertFinalNewline": true,
}
-55
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@@ -1,55 +0,0 @@
cff-version: 1.2.0
message: "If you use this software, please cite it using the following metadata."
title: "OpenHands: An Open Platform for AI Software Developers as Generalist Agents"
authors:
- family-names: Wang
given-names: Xingyao
- family-names: Li
given-names: Boxuan
- family-names: Song
given-names: Yufan
- family-names: Xu
given-names: Frank F.
- family-names: Tang
given-names: Xiangru
- family-names: Zhuge
given-names: Mingchen
- family-names: Pan
given-names: Jiayi
- family-names: Song
given-names: Yueqi
- family-names: Li
given-names: Bowen
- family-names: Singh
given-names: Jaskirat
- family-names: Tran
given-names: Hoang H.
- family-names: Li
given-names: Fuqiang
- family-names: Ma
given-names: Ren
- family-names: Zheng
given-names: Mingzhang
- family-names: Qian
given-names: Bill
- family-names: Shao
given-names: Yanjun
- family-names: Muennighoff
given-names: Niklas
- family-names: Zhang
given-names: Yizhe
- family-names: Hui
given-names: Binyuan
- family-names: Lin
given-names: Junyang
- family-names: Brennan
given-names: Robert
- family-names: Peng
given-names: Hao
- family-names: Ji
given-names: Heng
- family-names: Neubig
given-names: Graham
year: 2024
doi: "10.48550/arXiv.2407.16741"
url: "https://arxiv.org/abs/2407.16741"
-147
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@@ -1,147 +0,0 @@
# Contributor Covenant Code of Conduct
## Our Pledge
We as members, contributors, and leaders pledge to make participation in our
community a harassment-free experience for everyone, regardless of age, body
size, visible or invisible disability, ethnicity, sex characteristics, gender
identity and expression, level of experience, education, socio-economic status,
nationality, personal appearance, race, caste, color, religion, or sexual
identity and orientation.
We pledge to act and interact in ways that contribute to an open, welcoming,
diverse, inclusive, and healthy community.
## Our Standards
Examples of behavior that contributes to a positive environment for our
community include:
* Demonstrating empathy and kindness toward other people.
* Being respectful of differing opinions, viewpoints, and experiences.
* Giving and gracefully accepting constructive feedback.
* Accepting responsibility and apologizing to those affected by our mistakes,
and learning from the experience.
* Focusing on what is best not just for us as individuals, but for the overall
community.
Examples of unacceptable behavior include:
* The use of sexualized language or imagery, and sexual attention or advances of
any kind.
* Trolling, insulting or derogatory comments, and personal or political attacks.
* Public or private harassment.
* Publishing others' private information, such as a physical or email address,
without their explicit permission.
* Other conduct which could reasonably be considered inappropriate in a
professional setting.
## Enforcement Responsibilities
Community leaders are responsible for clarifying and enforcing our standards of
acceptable behavior and will take appropriate and fair corrective action in
response to any behavior that they deem inappropriate, threatening, offensive,
or harmful.
Community leaders have the right and responsibility to remove, edit, or reject
comments, commits, code, wiki edits, issues, and other contributions that are
not aligned to this Code of Conduct, and will communicate reasons for moderation
decisions when appropriate.
## Scope
This Code of Conduct applies within all community spaces, and also applies when
an individual is officially representing the community in public spaces.
Examples of representing our community include using an official email address,
posting via an official social media account, or acting as an appointed
representative at an online or offline event.
## Enforcement
Instances of abusive, harassing, or otherwise unacceptable behavior may be
reported to the community leaders responsible for enforcement at
contact@all-hands.dev.
All complaints will be reviewed and investigated promptly and fairly.
All community leaders are obligated to respect the privacy and security of the
reporter of any incident.
## Enforcement Guidelines
Community leaders will follow these Community Impact Guidelines in determining
the consequences for any action they deem in violation of this Code of Conduct:
### 1. Correction
**Community Impact**: Use of inappropriate language or other behavior deemed
unprofessional or unwelcome in the community.
**Consequence**: A private, written warning from community leaders, providing
clarity around the nature of the violation and an explanation of why the
behavior was inappropriate. A public apology may be requested.
### 2. Warning
**Community Impact**: A violation through a single incident or series of
actions.
**Consequence**: A warning with consequences for continued behavior. No
interaction with the people involved, including unsolicited interaction with
those enforcing the Code of Conduct, for a specified period of time. This
includes avoiding interactions in community spaces as well as external channels
like social media. Violating these terms may lead to a temporary or permanent
ban.
### 3. Temporary Ban
**Community Impact**: A serious violation of community standards, including
sustained inappropriate behavior.
**Consequence**: A temporary ban from any sort of interaction or public
communication with the community for a specified period of time. No public or
private interaction with the people involved, including unsolicited interaction
with those enforcing the Code of Conduct, is allowed during this period.
Violating these terms may lead to a permanent ban.
### 4. Permanent Ban
**Community Impact**: Demonstrating a pattern of violation of community
standards, including sustained inappropriate behavior, harassment of an
individual, or aggression toward or disparagement of classes of individuals.
**Consequence**: A permanent ban from any sort of public interaction within the
community.
### Slack and Discord Etiquettes
These Slack and Discord etiquette guidelines are designed to foster an inclusive, respectful, and productive environment for all community members. By following these best practices, we ensure effective communication and collaboration while minimizing disruptions. Lets work together to build a supportive and welcoming community!
- Communicate respectfully and professionally, avoiding sarcasm or harsh language, and remember that tone can be difficult to interpret in text.
- Use threads for specific discussions to keep channels organized and easier to follow.
- Tag others only when their input is critical or urgent, and use @here, @channel or @everyone sparingly to minimize disruptions.
- Be patient, as open-source contributors and maintainers often have other commitments and may need time to respond.
- Post questions or discussions in the most relevant channel (e.g., for [slack - #general](https://openhands-ai.slack.com/archives/C06P5NCGSFP) for general topics, [slack - #questions](https://openhands-ai.slack.com/archives/C06U8UTKSAD) for queries/questions, [discord - #general](https://discord.com/channels/1222935860639563850/1222935861386018885)).
- When asking for help or raising issues, include necessary details like links, screenshots, or clear explanations to provide context.
- Keep discussions in public channels whenever possible to allow others to benefit from the conversation, unless the matter is sensitive or private.
- Always adhere to [our standards](https://github.com/All-Hands-AI/OpenHands/blob/main/CODE_OF_CONDUCT.md#our-standards) to ensure a welcoming and collaborative environment.
- If you choose to mute a channel, consider setting up alerts for topics that still interest you to stay engaged. For Slack, Go to Settings → Notifications → My Keywords to add specific keywords that will notify you when mentioned. For example, if you're here for discussions about LLMs, mute the channel if its too busy, but set notifications to alert you only when “LLMs” appears in messages. Also for Discord, go to the channel notifications and choose the option that best describes your need.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant][homepage],
version 2.1, available at
[https://www.contributor-covenant.org/version/2/1/code_of_conduct.html][v2.1].
Community Impact Guidelines were inspired by
[Mozilla's code of conduct enforcement ladder][Mozilla CoC].
For answers to common questions about this code of conduct, see the FAQ at
[https://www.contributor-covenant.org/faq][FAQ]. Translations are available at
[https://www.contributor-covenant.org/translations][translations].
[homepage]: https://www.contributor-covenant.org
[v2.1]: https://www.contributor-covenant.org/version/2/1/code_of_conduct.html
[Mozilla CoC]: https://github.com/mozilla/diversity
[FAQ]: https://www.contributor-covenant.org/faq
[translations]: https://www.contributor-covenant.org/translations
-43
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# 🙌 The OpenHands Community
The OpenHands community is built around the belief that (1) AI and AI agents are going to fundamentally change the way
we build software, and (2) if this is true, we should do everything we can to make sure that the benefits provided by
such powerful technology are accessible to everyone.
If this resonates with you, we'd love to have you join us in our quest!
## 🤝 How to Join
Check out our [How to Join the Community section.](https://github.com/All-Hands-AI/OpenHands?tab=readme-ov-file#-how-to-join-the-community)
## 💪 Becoming a Contributor
We welcome contributions from everyone! Whether you're a developer, a researcher, or simply enthusiastic about advancing
the field of software engineering with AI, there are many ways to get involved:
- **Code Contributions:** Help us develop new core functionality, improve our agents, improve the frontend and other
interfaces, or anything else that would help make OpenHands better.
- **Research and Evaluation:** Contribute to our understanding of LLMs in software engineering, participate in
evaluating the models, or suggest improvements.
- **Feedback and Testing:** Use the OpenHands toolset, report bugs, suggest features, or provide feedback on usability.
For details, please check [CONTRIBUTING.md](./CONTRIBUTING.md).
## Code of Conduct
We have a [Code of Conduct](./CODE_OF_CONDUCT.md) that we expect all contributors to adhere to.
Long story short, we are aiming for an open, welcoming, diverse, inclusive, and healthy community.
All contributors are expected to contribute to building this sort of community.
## 🛠️ Becoming a Maintainer
For contributors who have made significant and sustained contributions to the project, there is a possibility of joining
the maintainer team. The process for this is as follows:
1. Any contributor who has made sustained and high-quality contributions to the codebase can be nominated by any
maintainer. If you feel that you may qualify you can reach out to any of the maintainers that have reviewed your PRs and ask if you can be nominated.
2. Once a maintainer nominates a new maintainer, there will be a discussion period among the maintainers for at least 3 days.
3. If no concerns are raised the nomination will be accepted by acclamation, and if concerns are raised there will be a discussion and possible vote.
Note that just making many PRs does not immediately imply that you will become a maintainer. We will be looking
at sustained high-quality contributions over a period of time, as well as good teamwork and adherence to our [Code of Conduct](./CODE_OF_CONDUCT.md).
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# Contributing
Thanks for your interest in contributing to OpenHands! We welcome and appreciate contributions.
## Understanding OpenHands's CodeBase
To understand the codebase, please refer to the README in each module:
- [frontend](./frontend/README.md)
- [evaluation](./evaluation/README.md)
- [openhands](./openhands/README.md)
- [agenthub](./openhands/agenthub/README.md)
- [server](./openhands/server/README.md)
## Setting up Your Development Environment
We have a separate doc [Development.md](https://github.com/All-Hands-AI/OpenHands/blob/main/Development.md) that tells you how to set up a development workflow.
## How Can I Contribute?
There are many ways that you can contribute:
1. **Download and use** OpenHands, and send [issues](https://github.com/All-Hands-AI/OpenHands/issues) when you encounter something that isn't working or a feature that you'd like to see.
2. **Send feedback** after each session by [clicking the thumbs-up thumbs-down buttons](https://docs.all-hands.dev/usage/feedback), so we can see where things are working and failing, and also build an open dataset for training code agents.
3. **Improve the Codebase** by sending [PRs](#sending-pull-requests-to-openhands) (see details below). In particular, we have some [good first issues](https://github.com/All-Hands-AI/OpenHands/labels/good%20first%20issue) that may be ones to start on.
## What Can I Build?
Here are a few ways you can help improve the codebase.
#### UI/UX
We're always looking to improve the look and feel of the application. If you've got a small fix
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
to gather consensus from our design team first.
#### Improving the agent
Our main agent is the CodeAct agent. You can [see its prompts here](https://github.com/All-Hands-AI/OpenHands/tree/main/openhands/agenthub/codeact_agent).
Changes to these prompts, and to the underlying behavior in Python, can have a huge impact on user experience.
You can try modifying the prompts to see how they change the behavior of the agent as you use the app
locally, but we will need to do an end-to-end evaluation of any changes here to ensure that the agent
is getting better over time.
We use the [SWE-bench](https://www.swebench.com/) benchmark to test our agent. You can join the #evaluation
channel in Slack to learn more.
#### Adding a new agent
You may want to experiment with building new types of agents. You can add an agent to [`openhands/agenthub`](./openhands/agenthub)
to help expand the capabilities of OpenHands.
#### Adding a new runtime
The agent needs a place to run code and commands. When you run OpenHands on your laptop, it uses a Docker container
to do this by default. But there are other ways of creating a sandbox for the agent.
If you work for a company that provides a cloud-based runtime, you could help us add support for that runtime
by implementing the [interface specified here](https://github.com/All-Hands-AI/OpenHands/blob/main/openhands/runtime/base.py).
#### Testing
When you write code, it is also good to write tests. Please navigate to the [`./tests`](./tests) folder to see existing test suites.
At the moment, we have two kinds of tests: [`unit`](./tests/unit) and [`integration`](./evaluation/integration_tests). Please refer to the README for each test suite. These tests also run on GitHub's continuous integration to ensure quality of the project.
## Sending Pull Requests to OpenHands
You'll need to fork our repository to send us a Pull Request. You can learn more
about how to fork a GitHub repo and open a PR with your changes in [this article](https://medium.com/swlh/forks-and-pull-requests-how-to-contribute-to-github-repos-8843fac34ce8).
### Pull Request title
As described [here](https://github.com/commitizen/conventional-commit-types/blob/master/index.json), a valid PR title should begin with one of the following prefixes:
- `feat`: A new feature
- `fix`: A bug fix
- `docs`: Documentation only changes
- `style`: Changes that do not affect the meaning of the code (white space, formatting, missing semicolons, etc.)
- `refactor`: A code change that neither fixes a bug nor adds a feature
- `perf`: A code change that improves performance
- `test`: Adding missing tests or correcting existing tests
- `build`: Changes that affect the build system or external dependencies (example scopes: gulp, broccoli, npm)
- `ci`: Changes to our CI configuration files and scripts (example scopes: Travis, Circle, BrowserStack, SauceLabs)
- `chore`: Other changes that don't modify src or test files
- `revert`: Reverts a previous commit
For example, a PR title could be:
- `refactor: modify package path`
- `feat(frontend): xxxx`, where `(frontend)` means that this PR mainly focuses on the frontend component.
You may also check out previous PRs in the [PR list](https://github.com/All-Hands-AI/OpenHands/pulls).
### Pull Request description
- If your PR is small (such as a typo fix), you can go brief.
- If it contains a lot of changes, it's better to write more details.
If your changes are user-facing (e.g. a new feature in the UI, a change in behavior, or a bugfix)
please include a short message that we can add to our changelog.
## How to Make Effective Contributions
### Opening Issues
If you notice any bugs or have any feature requests please open them via the [issues page](https://github.com/All-Hands-AI/OpenHands/issues). We will triage based on how critical the bug is or how potentially useful the improvement is, discuss, and implement the ones that the community has interest/effort for.
Further, if you see an issue you like, please leave a "thumbs-up" or a comment, which will help us prioritize.
### Making Pull Requests
We're generally happy to consider all pull requests with the evaluation process varying based on the type of change:
#### For Small Improvements
Small improvements with few downsides are typically reviewed and approved quickly.
One thing to check when making changes is to ensure that all continuous integration tests pass, which you can check before getting a review.
#### For Core Agent Changes
We need to be more careful with changes to the core agent, as it is imperative to maintain high quality. These PRs are evaluated based on three key metrics:
1. **Accuracy**
2. **Efficiency**
3. **Code Complexity**
If it improves accuracy, efficiency, or both with only a minimal change to code quality, that's great we're happy to merge it in!
If there are bigger tradeoffs (e.g. helping efficiency a lot and hurting accuracy a little) we might want to put it behind a feature flag.
Either way, please feel free to discuss on github issues or slack, and we will give guidance and preliminary feedback.
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# Credits
## Contributors
We would like to thank all the [contributors](https://github.com/All-Hands-AI/OpenHands/graphs/contributors) who have helped make OpenHands possible. We greatly appreciate your dedication and hard work.
## Open Source Projects
OpenHands includes and adapts the following open source projects. We are grateful for their contributions to the open source community:
#### [SWE Agent](https://github.com/princeton-nlp/swe-agent)
- License: MIT License
- Description: Adapted for use in OpenHands's agent hub
#### [Aider](https://github.com/paul-gauthier/aider)
- License: Apache License 2.0
- Description: AI pair programming tool. OpenHands has adapted and integrated its linter module for code-related tasks in [`agentskills utilities`](https://github.com/All-Hands-AI/OpenHands/tree/main/openhands/runtime/plugins/agent_skills/utils/aider)
#### [BrowserGym](https://github.com/ServiceNow/BrowserGym)
- License: Apache License 2.0
- Description: Adapted in implementing the browsing agent
### Reference Implementations for Evaluation Benchmarks
OpenHands integrates code of the reference implementations for the following agent evaluation benchmarks:
#### [HumanEval](https://github.com/openai/human-eval)
- License: MIT License
#### [DSP](https://github.com/microsoft/DataScienceProblems)
- License: MIT License
#### [HumanEvalPack](https://github.com/bigcode-project/bigcode-evaluation-harness)
- License: Apache License 2.0
#### [AgentBench](https://github.com/THUDM/AgentBench)
- License: Apache License 2.0
#### [SWE-Bench](https://github.com/princeton-nlp/SWE-bench)
- License: MIT License
#### [BIRD](https://bird-bench.github.io/)
- License: MIT License
- Dataset: CC-BY-SA 4.0
#### [Gorilla APIBench](https://github.com/ShishirPatil/gorilla)
- License: Apache License 2.0
#### [GPQA](https://github.com/idavidrein/gpqa)
- License: MIT License
#### [ProntoQA](https://github.com/asaparov/prontoqa)
- License: Apache License 2.0
## Open Source licenses
### MIT License
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
### BSD 3-Clause License
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
### Apache License 2.0
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
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Copyright [yyyy] [name of copyright owner]
### Non-Open Source Reference Implementations:
#### [MultiPL-E](https://github.com/nuprl/MultiPL-E)
- License: BSD 3-Clause License with Machine Learning Restriction
BSD 3-Clause License with Machine Learning Restriction
Copyright (c) 2022, Northeastern University, Oberlin College, Roblox Inc,
Stevens Institute of Technology, University of Massachusetts Amherst, and
Wellesley College.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
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2. Redistributions in binary form must reproduce the above copyright notice,
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3. Neither the name of the copyright holder nor the names of its
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-204
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# Development Guide
This guide is for people working on OpenHands and editing the source code.
If you wish to contribute your changes, check out the
[CONTRIBUTING.md](https://github.com/All-Hands-AI/OpenHands/blob/main/CONTRIBUTING.md)
on how to clone and setup the project initially before moving on. Otherwise,
you can clone the OpenHands project directly.
## Start the Server for Development
### 1. Requirements
- Linux, Mac OS, or [WSL on Windows](https://learn.microsoft.com/en-us/windows/wsl/install) [Ubuntu >= 22.04]
- [Docker](https://docs.docker.com/engine/install/) (For those on MacOS, make sure to allow the default Docker socket to be used from advanced settings!)
- [Python](https://www.python.org/downloads/) = 3.12
- [NodeJS](https://nodejs.org/en/download/package-manager) >= 22.x
- [Poetry](https://python-poetry.org/docs/#installing-with-the-official-installer) >= 1.8
- OS-specific dependencies:
- Ubuntu: build-essential => `sudo apt-get install build-essential python3.12-dev`
- WSL: netcat => `sudo apt-get install netcat`
Make sure you have all these dependencies installed before moving on to `make build`.
#### Dev container
There is a [dev container](https://containers.dev/) available which provides a
pre-configured environment with all the necessary dependencies installed if you
are using a [supported editor or tool](https://containers.dev/supporting). For
example, if you are using Visual Studio Code (VS Code) with the
[Dev Containers](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers)
extension installed, you can open the project in a dev container by using the
_Dev Container: Reopen in Container_ command from the Command Palette
(Ctrl+Shift+P).
#### Develop without sudo access
If you want to develop without system admin/sudo access to upgrade/install `Python` and/or `NodeJS`, you can use
`conda` or `mamba` to manage the packages for you:
```bash
# Download and install Mamba (a faster version of conda)
curl -L -O "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh"
bash Miniforge3-$(uname)-$(uname -m).sh
# Install Python 3.12, nodejs, and poetry
mamba install python=3.12
mamba install conda-forge::nodejs
mamba install conda-forge::poetry
```
### 2. Build and Setup The Environment
Begin by building the project which includes setting up the environment and installing dependencies. This step ensures
that OpenHands is ready to run on your system:
```bash
make build
```
### 3. Configuring the Language Model
OpenHands supports a diverse array of Language Models (LMs) through the powerful [litellm](https://docs.litellm.ai) library.
To configure the LM of your choice, run:
```bash
make setup-config
```
This command will prompt you to enter the LLM API key, model name, and other variables ensuring that OpenHands is
tailored to your specific needs. Note that the model name will apply only when you run headless. If you use the UI,
please set the model in the UI.
Note: If you have previously run OpenHands using the docker command, you may have already set some environment
variables in your terminal. The final configurations are set from highest to lowest priority:
Environment variables > config.toml variables > default variables
**Note on Alternative Models:**
See [our documentation](https://docs.all-hands.dev/usage/llms) for recommended models.
### 4. Running the application
#### Option A: Run the Full Application
Once the setup is complete, this command starts both the backend and frontend servers, allowing you to interact with OpenHands:
```bash
make run
```
#### Option B: Individual Server Startup
- **Start the Backend Server:** If you prefer, you can start the backend server independently to focus on
backend-related tasks or configurations.
```bash
make start-backend
```
- **Start the Frontend Server:** Similarly, you can start the frontend server on its own to work on frontend-related
components or interface enhancements.
```bash
make start-frontend
```
### 5. Running OpenHands with OpenHands
You can use OpenHands to develop and improve OpenHands itself! This is a powerful way to leverage AI assistance for contributing to the project.
#### Quick Start
1. **Build and run OpenHands:**
```bash
export INSTALL_DOCKER=0
export RUNTIME=local
make build && make run
```
2. **Access the interface:**
- Local development: http://localhost:3001
- Remote/cloud environments: Use the appropriate external URL
3. **Configure for external access (if needed):**
```bash
# For external access (e.g., cloud environments)
make run FRONTEND_PORT=12000 FRONTEND_HOST=0.0.0.0 BACKEND_HOST=0.0.0.0
```
### 6. LLM Debugging
If you encounter any issues with the Language Model (LM) or you're simply curious, export DEBUG=1 in the environment and restart the backend.
OpenHands will log the prompts and responses in the logs/llm/CURRENT_DATE directory, allowing you to identify the causes.
### 7. Help
Need help or info on available targets and commands? Use the help command for all the guidance you need with OpenHands.
```bash
make help
```
### 8. Testing
To run tests, refer to the following:
#### Unit tests
```bash
poetry run pytest ./tests/unit/test_*.py
```
### 9. Add or update dependency
1. Add your dependency in `pyproject.toml` or use `poetry add xxx`.
2. Update the poetry.lock file via `poetry lock --no-update`.
### 10. Use existing Docker image
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:0.51-nikolaik`
## Develop inside Docker container
TL;DR
```bash
make docker-dev
```
See more details [here](./containers/dev/README.md).
If you are just interested in running `OpenHands` without installing all the required tools on your host.
```bash
make docker-run
```
If you do not have `make` on your host, run:
```bash
cd ./containers/dev
./dev.sh
```
You do need [Docker](https://docs.docker.com/engine/install/) installed on your host though.
## Key Documentation Resources
Here's a guide to the important documentation files in the repository:
- [/README.md](./README.md): Main project overview, features, and basic setup instructions
- [/Development.md](./Development.md) (this file): Comprehensive guide for developers working on OpenHands
- [/CONTRIBUTING.md](./CONTRIBUTING.md): Guidelines for contributing to the project, including code style and PR process
- [/docs/DOC_STYLE_GUIDE.md](./docs/DOC_STYLE_GUIDE.md): Standards for writing and maintaining project documentation
- [/openhands/README.md](./openhands/README.md): Details about the backend Python implementation
- [/frontend/README.md](./frontend/README.md): Frontend React application setup and development guide
- [/containers/README.md](./containers/README.md): Information about Docker containers and deployment
- [/tests/unit/README.md](./tests/unit/README.md): Guide to writing and running unit tests
- [/evaluation/README.md](./evaluation/README.md): Documentation for the evaluation framework and benchmarks
- [/microagents/README.md](./microagents/README.md): Information about the microagents architecture and implementation
- [/openhands/server/README.md](./openhands/server/README.md): Server implementation details and API documentation
- [/openhands/runtime/README.md](./openhands/runtime/README.md): Documentation for the runtime environment and execution model
-27
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@@ -1,27 +0,0 @@
# Issue Triage
These are the procedures and guidelines on how issues are triaged in this repo by the maintainers.
## General
* All issues must be tagged with **enhancement**, **bug** or **troubleshooting/help**.
* Issues may be tagged with what it relates to (**agent quality**, **resolver**, **CLI**, etc.).
## Severity
* **High**: High visibility issues or affecting many users.
* **Critical**: Affecting all users or potential security issues.
## Difficulty
* Issues with low implementation difficulty may be tagged with **good first issue**.
## Not Enough Information
* User is asked to provide more information (logs, how to reproduce, etc.) when the issue is not clear.
* If an issue is unclear and the author does not provide more information or respond to a request,
the issue may be closed as **not planned** (Usually after a week).
## Multiple Requests/Fixes in One Issue
* These issues will be narrowed down to one request/fix so the issue is more easily tracked and fixed.
* Issues may be broken down into multiple issues if required.
## Stale and Auto Closures
* In order to keep a maintainable backlog, issues that have no activity within 30 days are automatically marked as **Stale**.
* If issues marked as **Stale** continue to have no activity for 7 more days, they will automatically be closed as not planned.
* Issues may be reopened by maintainers if deemed important.
-25
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@@ -1,25 +0,0 @@
The MIT License (MIT)
=====================
Copyright © 2023
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the “Software”), to deal in the Software without
restriction, including without limitation the rights to use,
copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the
Software is furnished to do so, subject to the following
conditions:
The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
-5
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@@ -1,5 +0,0 @@
# Exclude all Python bytecode files
global-exclude *.pyc
# Exclude Python cache directories
global-exclude __pycache__
-371
View File
@@ -1,371 +0,0 @@
SHELL=/usr/bin/env bash
# Makefile for OpenHands project
# Variables
BACKEND_HOST ?= "127.0.0.1"
BACKEND_PORT ?= 3000
BACKEND_HOST_PORT = "$(BACKEND_HOST):$(BACKEND_PORT)"
FRONTEND_HOST ?= "127.0.0.1"
FRONTEND_PORT ?= 3001
DEFAULT_WORKSPACE_DIR = "./workspace"
DEFAULT_MODEL = "gpt-4o"
CONFIG_FILE = config.toml
PRE_COMMIT_CONFIG_PATH = "./dev_config/python/.pre-commit-config.yaml"
PYTHON_VERSION = 3.12
KIND_CLUSTER_NAME = "local-hands"
# ANSI color codes
GREEN=$(shell tput -Txterm setaf 2)
YELLOW=$(shell tput -Txterm setaf 3)
RED=$(shell tput -Txterm setaf 1)
BLUE=$(shell tput -Txterm setaf 6)
RESET=$(shell tput -Txterm sgr0)
# Build
build:
@echo "$(GREEN)Building project...$(RESET)"
@$(MAKE) -s check-dependencies
@$(MAKE) -s install-python-dependencies
@$(MAKE) -s install-frontend-dependencies
@$(MAKE) -s install-pre-commit-hooks
@$(MAKE) -s build-frontend
@echo "$(GREEN)Build completed successfully.$(RESET)"
check-dependencies:
@echo "$(YELLOW)Checking dependencies...$(RESET)"
@$(MAKE) -s check-system
@$(MAKE) -s check-python
@$(MAKE) -s check-npm
@$(MAKE) -s check-nodejs
ifeq ($(INSTALL_DOCKER),)
@$(MAKE) -s check-docker
endif
@$(MAKE) -s check-poetry
@$(MAKE) -s check-tmux
@echo "$(GREEN)Dependencies checked successfully.$(RESET)"
check-system:
@echo "$(YELLOW)Checking system...$(RESET)"
@if [ "$(shell uname)" = "Darwin" ]; then \
echo "$(BLUE)macOS detected.$(RESET)"; \
elif [ "$(shell uname)" = "Linux" ]; then \
if [ -f "/etc/manjaro-release" ]; then \
echo "$(BLUE)Manjaro Linux detected.$(RESET)"; \
else \
echo "$(BLUE)Linux detected.$(RESET)"; \
fi; \
elif [ "$$(uname -r | grep -i microsoft)" ]; then \
echo "$(BLUE)Windows Subsystem for Linux detected.$(RESET)"; \
else \
echo "$(RED)Unsupported system detected. Please use macOS, Linux, or Windows Subsystem for Linux (WSL).$(RESET)"; \
exit 1; \
fi
check-python:
@echo "$(YELLOW)Checking Python installation...$(RESET)"
@if command -v python$(PYTHON_VERSION) > /dev/null; then \
echo "$(BLUE)$(shell python$(PYTHON_VERSION) --version) is already installed.$(RESET)"; \
else \
echo "$(RED)Python $(PYTHON_VERSION) is not installed. Please install Python $(PYTHON_VERSION) to continue.$(RESET)"; \
exit 1; \
fi
check-npm:
@echo "$(YELLOW)Checking npm installation...$(RESET)"
@if command -v npm > /dev/null; then \
echo "$(BLUE)npm $(shell npm --version) is already installed.$(RESET)"; \
else \
echo "$(RED)npm is not installed. Please install Node.js to continue.$(RESET)"; \
exit 1; \
fi
check-nodejs:
@echo "$(YELLOW)Checking Node.js installation...$(RESET)"
@if command -v node > /dev/null; then \
NODE_VERSION=$(shell node --version | sed -E 's/v//g'); \
IFS='.' read -r -a NODE_VERSION_ARRAY <<< "$$NODE_VERSION"; \
if [ "$${NODE_VERSION_ARRAY[0]}" -ge 22 ]; then \
echo "$(BLUE)Node.js $$NODE_VERSION is already installed.$(RESET)"; \
else \
echo "$(RED)Node.js 22.x or later is required. Please install Node.js 22.x or later to continue.$(RESET)"; \
exit 1; \
fi; \
else \
echo "$(RED)Node.js is not installed. Please install Node.js to continue.$(RESET)"; \
exit 1; \
fi
check-docker:
@echo "$(YELLOW)Checking Docker installation...$(RESET)"
@if command -v docker > /dev/null; then \
echo "$(BLUE)$(shell docker --version) is already installed.$(RESET)"; \
else \
echo "$(RED)Docker is not installed. Please install Docker to continue.$(RESET)"; \
exit 1; \
fi
check-tmux:
@echo "$(YELLOW)Checking tmux installation...$(RESET)"
@if command -v tmux > /dev/null; then \
echo "$(BLUE)$(shell tmux -V) is already installed.$(RESET)"; \
else \
echo "$(YELLOW)╔════════════════════════════════════════════════════════════════════════════╗$(RESET)"; \
echo "$(YELLOW)║ OPTIONAL: tmux is not installed. ║$(RESET)"; \
echo "$(YELLOW)║ Some advanced terminal features may not work without tmux. ║$(RESET)"; \
echo "$(YELLOW)║ You can install it if needed, but it's not required for development. ║$(RESET)"; \
echo "$(YELLOW)╚════════════════════════════════════════════════════════════════════════════╝$(RESET)"; \
fi
check-poetry:
@echo "$(YELLOW)Checking Poetry installation...$(RESET)"
@if command -v poetry > /dev/null; then \
POETRY_VERSION=$(shell poetry --version 2>&1 | sed -E 's/Poetry \(version ([0-9]+\.[0-9]+\.[0-9]+)\)/\1/'); \
IFS='.' read -r -a POETRY_VERSION_ARRAY <<< "$$POETRY_VERSION"; \
if [ $${POETRY_VERSION_ARRAY[0]} -gt 1 ] || ([ $${POETRY_VERSION_ARRAY[0]} -eq 1 ] && [ $${POETRY_VERSION_ARRAY[1]} -ge 8 ]); then \
echo "$(BLUE)$(shell poetry --version) is already installed.$(RESET)"; \
else \
echo "$(RED)Poetry 1.8 or later is required. You can install poetry by running the following command, then adding Poetry to your PATH:"; \
echo "$(RED) curl -sSL https://install.python-poetry.org | python$(PYTHON_VERSION) -$(RESET)"; \
echo "$(RED)More detail here: https://python-poetry.org/docs/#installing-with-the-official-installer$(RESET)"; \
exit 1; \
fi; \
else \
echo "$(RED)Poetry is not installed. You can install poetry by running the following command, then adding Poetry to your PATH:"; \
echo "$(RED) curl -sSL https://install.python-poetry.org | python$(PYTHON_VERSION) -$(RESET)"; \
echo "$(RED)More detail here: https://python-poetry.org/docs/#installing-with-the-official-installer$(RESET)"; \
exit 1; \
fi
install-python-dependencies:
@echo "$(GREEN)Installing Python dependencies...$(RESET)"
@if [ -z "${TZ}" ]; then \
echo "Defaulting TZ (timezone) to UTC"; \
export TZ="UTC"; \
fi
poetry env use python$(PYTHON_VERSION)
@if [ "$(shell uname)" = "Darwin" ]; then \
echo "$(BLUE)Installing chroma-hnswlib...$(RESET)"; \
export HNSWLIB_NO_NATIVE=1; \
poetry run pip install chroma-hnswlib; \
fi
@if [ -n "${POETRY_GROUP}" ]; then \
echo "Installing only POETRY_GROUP=${POETRY_GROUP}"; \
poetry install --only $${POETRY_GROUP}; \
else \
poetry install --with dev,test,runtime; \
fi
@if [ "${INSTALL_PLAYWRIGHT}" != "false" ] && [ "${INSTALL_PLAYWRIGHT}" != "0" ]; then \
if [ -f "/etc/manjaro-release" ]; then \
echo "$(BLUE)Detected Manjaro Linux. Installing Playwright dependencies...$(RESET)"; \
poetry run pip install playwright; \
poetry run playwright install chromium; \
else \
if [ ! -f cache/playwright_chromium_is_installed.txt ]; then \
echo "Running playwright install --with-deps chromium..."; \
poetry run playwright install --with-deps chromium; \
mkdir -p cache; \
touch cache/playwright_chromium_is_installed.txt; \
else \
echo "Setup already done. Skipping playwright installation."; \
fi \
fi \
else \
echo "Skipping Playwright installation (INSTALL_PLAYWRIGHT=${INSTALL_PLAYWRIGHT})."; \
fi
@echo "$(GREEN)Python dependencies installed successfully.$(RESET)"
install-frontend-dependencies: check-npm check-nodejs
@echo "$(YELLOW)Setting up frontend environment...$(RESET)"
@echo "$(YELLOW)Detect Node.js version...$(RESET)"
@cd frontend && node ./scripts/detect-node-version.js
echo "$(BLUE)Installing frontend dependencies with npm...$(RESET)"
@cd frontend && npm install
@echo "$(GREEN)Frontend dependencies installed successfully.$(RESET)"
install-pre-commit-hooks: check-python check-poetry install-python-dependencies
@echo "$(YELLOW)Installing pre-commit hooks...$(RESET)"
@git config --unset-all core.hooksPath || true
@poetry run pre-commit install --config $(PRE_COMMIT_CONFIG_PATH)
@echo "$(GREEN)Pre-commit hooks installed successfully.$(RESET)"
lint-backend: install-pre-commit-hooks
@echo "$(YELLOW)Running linters...$(RESET)"
@poetry run pre-commit run --all-files --show-diff-on-failure --config $(PRE_COMMIT_CONFIG_PATH)
lint-frontend: install-frontend-dependencies
@echo "$(YELLOW)Running linters for frontend...$(RESET)"
@cd frontend && npm run lint
lint:
@$(MAKE) -s lint-frontend
@$(MAKE) -s lint-backend
kind:
@echo "$(YELLOW)Checking if kind is installed...$(RESET)"
@if ! command -v kind > /dev/null; then \
echo "$(RED)kind is not installed. Please install kind with `brew install kind` to continue$(RESET)"; \
exit 1; \
else \
echo "$(BLUE)kind $(shell kind version) is already installed.$(RESET)"; \
fi
@echo "$(YELLOW)Checking if kind cluster '$(KIND_CLUSTER_NAME)' already exists...$(RESET)"
@if kind get clusters | grep -q "^$(KIND_CLUSTER_NAME)$$"; then \
echo "$(BLUE)Kind cluster '$(KIND_CLUSTER_NAME)' already exists.$(RESET)"; \
kubectl config use-context kind-$(KIND_CLUSTER_NAME); \
else \
echo "$(YELLOW)Creating kind cluster '$(KIND_CLUSTER_NAME)'...$(RESET)"; \
kind create cluster --name $(KIND_CLUSTER_NAME) --config kind/cluster.yaml; \
fi
@echo "$(YELLOW)Checking if mirrord is installed...$(RESET)"
@if ! command -v mirrord > /dev/null; then \
echo "$(RED)mirrord is not installed. Please install mirrord with `brew install metalbear-co/mirrord/mirrord` to continue$(RESET)"; \
exit 1; \
else \
echo "$(BLUE)mirrord $(shell mirrord --version) is already installed.$(RESET)"; \
fi
@echo "$(YELLOW)Installing k8s mirrord resources...$(RESET)"
@kubectl apply -f kind/manifests
@echo "$(GREEN)Mirrord resources installed successfully.$(RESET)"
@echo "$(YELLOW)Waiting for Mirrord pod to be ready.$(RESET)"
@sleep 5
@kubectl wait --for=condition=Available deployment/ubuntu-dev
@echo "$(YELLOW)Waiting for Nginx to be ready.$(RESET)"
@kubectl -n ingress-nginx wait --for=condition=Available deployment/ingress-nginx-controller
@echo "$(YELLOW)Running make run inside of mirrord.$(RESET)"
@mirrord exec --target deployment/ubuntu-dev -- make run
test-frontend:
@echo "$(YELLOW)Running tests for frontend...$(RESET)"
@cd frontend && npm run test
test:
@$(MAKE) -s test-frontend
build-frontend:
@echo "$(YELLOW)Building frontend...$(RESET)"
@cd frontend && npm run prepare && npm run build
# Start backend
start-backend:
@echo "$(YELLOW)Starting backend...$(RESET)"
@poetry run uvicorn openhands.server.listen:app --host $(BACKEND_HOST) --port $(BACKEND_PORT) --reload --reload-exclude "./workspace"
# Start frontend
start-frontend:
@echo "$(YELLOW)Starting frontend...$(RESET)"
@cd frontend && \
if grep -qi microsoft /proc/version 2>/dev/null; then \
echo "Detected WSL environment. Using 'dev_wsl'"; \
SCRIPT=dev_wsl; \
else \
SCRIPT=dev; \
fi; \
VITE_BACKEND_HOST=$(BACKEND_HOST_PORT) VITE_FRONTEND_PORT=$(FRONTEND_PORT) npm run $$SCRIPT -- --port $(FRONTEND_PORT) --host $(BACKEND_HOST)
# Common setup for running the app (non-callable)
_run_setup:
@if [ "$(OS)" = "Windows_NT" ]; then \
echo "$(RED) Windows is not supported, use WSL instead!$(RESET)"; \
exit 1; \
fi
@mkdir -p logs
@echo "$(YELLOW)Starting backend server...$(RESET)"
@poetry run uvicorn openhands.server.listen:app --host $(BACKEND_HOST) --port $(BACKEND_PORT) &
@echo "$(YELLOW)Waiting for the backend to start...$(RESET)"
@until nc -z localhost $(BACKEND_PORT); do sleep 0.1; done
@echo "$(GREEN)Backend started successfully.$(RESET)"
# Run the app (standard mode)
run:
@echo "$(YELLOW)Running the app...$(RESET)"
@$(MAKE) -s _run_setup
@$(MAKE) -s start-frontend
@echo "$(GREEN)Application started successfully.$(RESET)"
# Run the app (in docker)
docker-run: WORKSPACE_BASE ?= $(PWD)/workspace
docker-run:
@if [ -f /.dockerenv ]; then \
echo "Running inside a Docker container. Exiting..."; \
exit 0; \
else \
echo "$(YELLOW)Running the app in Docker $(OPTIONS)...$(RESET)"; \
export WORKSPACE_BASE=${WORKSPACE_BASE}; \
export SANDBOX_USER_ID=$(shell id -u); \
export DATE=$(shell date +%Y%m%d%H%M%S); \
docker compose up $(OPTIONS); \
fi
# Setup config.toml
setup-config:
@echo "$(YELLOW)Setting up config.toml...$(RESET)"
@$(MAKE) setup-config-prompts
@mv $(CONFIG_FILE).tmp $(CONFIG_FILE)
@echo "$(GREEN)Config.toml setup completed.$(RESET)"
setup-config-prompts:
@echo "[core]" > $(CONFIG_FILE).tmp
@read -p "Enter your workspace directory (as absolute path) [default: $(DEFAULT_WORKSPACE_DIR)]: " workspace_dir; \
workspace_dir=$${workspace_dir:-$(DEFAULT_WORKSPACE_DIR)}; \
echo "workspace_base=\"$$workspace_dir\"" >> $(CONFIG_FILE).tmp
@echo "" >> $(CONFIG_FILE).tmp
@echo "[llm]" >> $(CONFIG_FILE).tmp
@read -p "Enter your LLM model name, used for running without UI. Set the model in the UI after you start the app. (see https://docs.litellm.ai/docs/providers for full list) [default: $(DEFAULT_MODEL)]: " llm_model; \
llm_model=$${llm_model:-$(DEFAULT_MODEL)}; \
echo "model=\"$$llm_model\"" >> $(CONFIG_FILE).tmp
@read -p "Enter your LLM api key: " llm_api_key; \
echo "api_key=\"$$llm_api_key\"" >> $(CONFIG_FILE).tmp
@read -p "Enter your LLM base URL [mostly used for local LLMs, leave blank if not needed - example: http://localhost:5001/v1/]: " llm_base_url; \
if [[ ! -z "$$llm_base_url" ]]; then echo "base_url=\"$$llm_base_url\"" >> $(CONFIG_FILE).tmp; fi
setup-config-basic:
@printf '%s\n' \
'[core]' \
'workspace_base="./workspace"' \
> config.toml
@echo "$(GREEN)config.toml created.$(RESET)"
openhands-cloud-run:
@$(MAKE) run BACKEND_HOST="0.0.0.0" BACKEND_PORT="12000" FRONTEND_HOST="0.0.0.0" FRONTEND_PORT="12001"
# Develop in container
docker-dev:
@if [ -f /.dockerenv ]; then \
echo "Running inside a Docker container. Exiting..."; \
exit 0; \
else \
echo "$(YELLOW)Build and run in Docker $(OPTIONS)...$(RESET)"; \
./containers/dev/dev.sh $(OPTIONS); \
fi
# Clean up all caches
clean:
@echo "$(YELLOW)Cleaning up caches...$(RESET)"
@rm -rf openhands/.cache
@echo "$(GREEN)Caches cleaned up successfully.$(RESET)"
# Help
help:
@echo "$(BLUE)Usage: make [target]$(RESET)"
@echo "Targets:"
@echo " $(GREEN)build$(RESET) - Build project, including environment setup and dependencies."
@echo " $(GREEN)lint$(RESET) - Run linters on the project."
@echo " $(GREEN)setup-config$(RESET) - Setup the configuration for OpenHands by providing LLM API key,"
@echo " LLM Model name, and workspace directory."
@echo " $(GREEN)start-backend$(RESET) - Start the backend server for the OpenHands project."
@echo " $(GREEN)start-frontend$(RESET) - Start the frontend server for the OpenHands project."
@echo " $(GREEN)run$(RESET) - Run the OpenHands application, starting both backend and frontend servers."
@echo " Backend Log file will be stored in the 'logs' directory."
@echo " $(GREEN)docker-dev$(RESET) - Build and run the OpenHands application in Docker."
@echo " $(GREEN)docker-run$(RESET) - Run the OpenHands application, starting both backend and frontend servers in Docker."
@echo " $(GREEN)help$(RESET) - Display this help message, providing information on available targets."
# Phony targets
.PHONY: build check-dependencies check-system check-python check-npm check-nodejs check-docker check-poetry install-python-dependencies install-frontend-dependencies install-pre-commit-hooks lint-backend lint-frontend lint test-frontend test build-frontend start-backend start-frontend _run_setup run run-wsl setup-config setup-config-prompts setup-config-basic openhands-cloud-run docker-dev docker-run clean help
.PHONY: kind
-157
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@@ -1,157 +0,0 @@
<a name="readme-top"></a>
<div align="center">
<img src="./docs/static/img/logo.png" alt="Logo" width="200">
<h1 align="center">OpenHands: Code Less, Make More</h1>
</div>
<div align="center">
<a href="https://github.com/All-Hands-AI/OpenHands/graphs/contributors"><img src="https://img.shields.io/github/contributors/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Contributors"></a>
<a href="https://github.com/All-Hands-AI/OpenHands/stargazers"><img src="https://img.shields.io/github/stars/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Stargazers"></a>
<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://discord.gg/ESHStjSjD4"><img src="https://img.shields.io/badge/Discord-Join%20Us-purple?logo=discord&logoColor=white&style=for-the-badge" alt="Join our Discord community"></a>
<a href="https://github.com/All-Hands-AI/OpenHands/blob/main/CREDITS.md"><img src="https://img.shields.io/badge/Project-Credits-blue?style=for-the-badge&color=FFE165&logo=github&logoColor=white" alt="Credits"></a>
<br/>
<a href="https://docs.all-hands.dev/usage/getting-started"><img src="https://img.shields.io/badge/Documentation-000?logo=googledocs&logoColor=FFE165&style=for-the-badge" alt="Check out the documentation"></a>
<a href="https://arxiv.org/abs/2407.16741"><img src="https://img.shields.io/badge/Paper%20on%20Arxiv-000?logoColor=FFE165&logo=arxiv&style=for-the-badge" alt="Paper on Arxiv"></a>
<a href="https://docs.google.com/spreadsheets/d/1wOUdFCMyY6Nt0AIqF705KN4JKOWgeI4wUGUP60krXXs/edit?gid=0#gid=0"><img src="https://img.shields.io/badge/Benchmark%20score-000?logoColor=FFE165&logo=huggingface&style=for-the-badge" alt="Evaluation Benchmark Score"></a>
<!-- Keep these links. Translations will automatically update with the README. -->
<a href="https://www.readme-i18n.com/All-Hands-AI/OpenHands?lang=de">Deutsch</a> |
<a href="https://www.readme-i18n.com/All-Hands-AI/OpenHands?lang=es">Español</a> |
<a href="https://www.readme-i18n.com/All-Hands-AI/OpenHands?lang=fr">français</a> |
<a href="https://www.readme-i18n.com/All-Hands-AI/OpenHands?lang=ja">日本語</a> |
<a href="https://www.readme-i18n.com/All-Hands-AI/OpenHands?lang=ko">한국어</a> |
<a href="https://www.readme-i18n.com/All-Hands-AI/OpenHands?lang=pt">Português</a> |
<a href="https://www.readme-i18n.com/All-Hands-AI/OpenHands?lang=ru">Русский</a> |
<a href="https://www.readme-i18n.com/All-Hands-AI/OpenHands?lang=zh">中文</a>
<hr>
</div>
Welcome to OpenHands (formerly OpenDevin), a platform for software development agents powered by AI.
OpenHands agents can do anything a human developer can: modify code, run commands, browse the web,
call APIs, and yes—even copy code snippets from StackOverflow.
Learn more at [docs.all-hands.dev](https://docs.all-hands.dev), or [sign up for OpenHands Cloud](https://app.all-hands.dev) to get started.
> [!IMPORTANT]
> 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.
![App screenshot](./docs/static/img/screenshot.png)
## ☁️ 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.
## 💻 Running OpenHands Locally
OpenHands can also run on your local system using Docker.
See the [Running OpenHands](https://docs.all-hands.dev/usage/installation) guide for
system requirements and more information.
> [!WARNING]
> On a public network? See our [Hardened Docker Installation Guide](https://docs.all-hands.dev/usage/runtimes/docker#hardened-docker-installation)
> to secure your deployment by restricting network binding and implementing additional security measures.
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.51-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.51-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:0.51
```
> **Note**: If you used OpenHands before version 0.44, you may want to run `mv ~/.openhands-state ~/.openhands` to migrate your conversation history to the new location.
You'll find OpenHands running at [http://localhost:3000](http://localhost:3000)!
When you open the application, you'll be asked to choose an LLM provider and add an API key.
[Anthropic's Claude Sonnet 4](https://www.anthropic.com/api) (`anthropic/claude-sonnet-4-20250514`)
works best, but you have [many options](https://docs.all-hands.dev/usage/llms).
## 💡 Other ways to run OpenHands
> [!WARNING]
> 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)
You can [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).
Visit [Running OpenHands](https://docs.all-hands.dev/usage/installation) for more information and setup instructions.
If you want to modify the OpenHands source code, check out [Development.md](https://github.com/All-Hands-AI/OpenHands/blob/main/Development.md).
Having issues? The [Troubleshooting Guide](https://docs.all-hands.dev/usage/troubleshooting) can help.
## 📖 Documentation
<a href="https://deepwiki.com/All-Hands-AI/OpenHands"><img src="https://deepwiki.com/badge.svg" alt="Ask DeepWiki" title="Autogenerated Documentation by DeepWiki"></a>
To learn more about the project, and for tips on using OpenHands,
check out our [documentation](https://docs.all-hands.dev/usage/getting-started).
There you'll find resources on how to use different LLM providers,
troubleshooting resources, and advanced configuration options.
## 🤝 How to Join the Community
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 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.
See more about the community in [COMMUNITY.md](./COMMUNITY.md) or find details on contributing in [CONTRIBUTING.md](./CONTRIBUTING.md).
## 📈 Progress
See the monthly OpenHands roadmap [here](https://github.com/orgs/All-Hands-AI/projects/1) (updated at the maintainer's meeting at the end of each month).
<p align="center">
<a href="https://star-history.com/#All-Hands-AI/OpenHands&Date">
<img src="https://api.star-history.com/svg?repos=All-Hands-AI/OpenHands&type=Date" width="500" alt="Star History Chart">
</a>
</p>
## 📜 License
Distributed under the MIT License. See [`LICENSE`](./LICENSE) for more information.
## 🙏 Acknowledgements
OpenHands is built by a large number of contributors, and every contribution is greatly appreciated! We also build upon other open source projects, and we are deeply thankful for their work.
For a list of open source projects and licenses used in OpenHands, please see our [CREDITS.md](./CREDITS.md) file.
## 📚 Cite
```
@inproceedings{
wang2025openhands,
title={OpenHands: An Open Platform for {AI} Software Developers as Generalist Agents},
author={Xingyao Wang and Boxuan Li and Yufan Song and Frank F. Xu and Xiangru Tang and Mingchen Zhuge and Jiayi Pan and Yueqi Song and Bowen Li and Jaskirat Singh and Hoang H. Tran and Fuqiang Li and Ren Ma and Mingzhang Zheng and Bill Qian and Yanjun Shao and Niklas Muennighoff and Yizhe Zhang and Binyuan Hui and Junyang Lin and Robert Brennan and Hao Peng and Heng Ji and Graham Neubig},
booktitle={The Thirteenth International Conference on Learning Representations},
year={2025},
url={https://openreview.net/forum?id=OJd3ayDDoF}
}
```
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<a name="readme-top"></a>
<div align="center">
<img src="./docs/static/img/logo.png" alt="Logo" width="200">
<h1 align="center">OpenHands: 少写代码,多做事</h1>
</div>
<div align="center">
<a href="https://github.com/All-Hands-AI/OpenHands/graphs/contributors"><img src="https://img.shields.io/github/contributors/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Contributors"></a>
<a href="https://github.com/All-Hands-AI/OpenHands/stargazers"><img src="https://img.shields.io/github/stars/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Stargazers"></a>
<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://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/>
<a href="https://docs.all-hands.dev/usage/getting-started"><img src="https://img.shields.io/badge/Documentation-000?logo=googledocs&logoColor=FFE165&style=for-the-badge" alt="查看文档"></a>
<a href="https://arxiv.org/abs/2407.16741"><img src="https://img.shields.io/badge/Paper%20on%20Arxiv-000?logoColor=FFE165&logo=arxiv&style=for-the-badge" alt="Arxiv论文"></a>
<a href="https://docs.google.com/spreadsheets/d/1wOUdFCMyY6Nt0AIqF705KN4JKOWgeI4wUGUP60krXXs/edit?gid=0#gid=0"><img src="https://img.shields.io/badge/Benchmark%20score-000?logoColor=FFE165&logo=huggingface&style=for-the-badge" alt="评估基准分数"></a>
<hr>
</div>
欢迎使用OpenHands(前身为OpenDevin),这是一个由AI驱动的软件开发代理平台。
OpenHands代理可以完成人类开发者能做的任何事情:修改代码、运行命令、浏览网页、调用API,甚至从StackOverflow复制代码片段。
在[docs.all-hands.dev](https://docs.all-hands.dev)了解更多信息,或[注册OpenHands Cloud](https://app.all-hands.dev)开始使用。
> [!IMPORTANT]
> 在工作中使用OpenHands?我们很想与您交流!填写
> [这份简短表格](https://docs.google.com/forms/d/e/1FAIpQLSet3VbGaz8z32gW9Wm-Grl4jpt5WgMXPgJ4EDPVmCETCBpJtQ/viewform)
> 加入我们的设计合作伙伴计划,您将获得商业功能的早期访问权限,并有机会对我们的产品路线图提供意见。
![应用截图](./docs/static/img/screenshot.png)
## ☁️ OpenHands Cloud
开始使用OpenHands的最简单方式是在[OpenHands Cloud](https://app.all-hands.dev)上,
新用户可获得$50的免费额度。
## 💻 在本地运行OpenHands
OpenHands也可以使用Docker在本地系统上运行。
查看[运行OpenHands](https://docs.all-hands.dev/usage/installation)指南了解
系统要求和更多信息。
> [!WARNING]
> 在公共网络上?请参阅我们的[强化Docker安装指南](https://docs.all-hands.dev/usage/runtimes/docker#hardened-docker-installation)
> 通过限制网络绑定和实施其他安全措施来保护您的部署。
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.51-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.51-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:0.51
```
> **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。
您将在[http://localhost:3000](http://localhost:3000)找到运行中的OpenHands
打开应用程序时,您将被要求选择一个LLM提供商并添加API密钥。
[Anthropic的Claude Sonnet 4](https://www.anthropic.com/api)`anthropic/claude-sonnet-4-20250514`
效果最佳,但您还有[许多选择](https://docs.all-hands.dev/usage/llms)。
## 💡 运行OpenHands的其他方式
> [!CAUTION]
> OpenHands旨在由单个用户在其本地工作站上运行。
> 它不适合多租户部署,即多个用户共享同一实例。没有内置的身份验证、隔离或可扩展性。
>
> 如果您有兴趣在多租户环境中运行OpenHands,请
> [与我们联系](https://docs.google.com/forms/d/e/1FAIpQLSet3VbGaz8z32gW9Wm-Grl4jpt5WgMXPgJ4EDPVmCETCBpJtQ/viewform)
> 了解高级部署选项。
您还可以[将OpenHands连接到本地文件系统](https://docs.all-hands.dev/usage/runtimes/docker#connecting-to-your-filesystem)
以可编程的[无头模式](https://docs.all-hands.dev/usage/how-to/headless-mode)运行OpenHands
通过[友好的CLI](https://docs.all-hands.dev/usage/how-to/cli-mode)与其交互,
或使用[GitHub Action](https://docs.all-hands.dev/usage/how-to/github-action)在标记的问题上运行它。
访问[运行OpenHands](https://docs.all-hands.dev/usage/installation)获取更多信息和设置说明。
如果您想修改OpenHands源代码,请查看[Development.md](https://github.com/All-Hands-AI/OpenHands/blob/main/Development.md)。
遇到问题?[故障排除指南](https://docs.all-hands.dev/usage/troubleshooting)可以提供帮助。
## 📖 文档
<a href="https://deepwiki.com/All-Hands-AI/OpenHands"><img src="https://deepwiki.com/badge.svg" alt="Ask DeepWiki" title="DeepWiki自动生成文档"></a>
要了解有关项目的更多信息,以及使用OpenHands的技巧,
请查看我们的[文档](https://docs.all-hands.dev/usage/getting-started)。
在那里,您将找到有关如何使用不同LLM提供商、
故障排除资源和高级配置选项的资源。
## 🤝 如何加入社区
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。
在[COMMUNITY.md](./COMMUNITY.md)中了解更多关于社区的信息,或在[CONTRIBUTING.md](./CONTRIBUTING.md)中找到有关贡献的详细信息。
## 📈 进展
在[这里](https://github.com/orgs/All-Hands-AI/projects/1)查看OpenHands月度路线图(每月月底在维护者会议上更新)。
<p align="center">
<a href="https://star-history.com/#All-Hands-AI/OpenHands&Date">
<img src="https://api.star-history.com/svg?repos=All-Hands-AI/OpenHands&type=Date" width="500" alt="Star History Chart">
</a>
</p>
## 📜 许可证
根据MIT许可证分发。有关更多信息,请参阅[`LICENSE`](./LICENSE)。
## 🙏 致谢
OpenHands由大量贡献者构建,每一份贡献都备受感谢!我们还借鉴了其他开源项目,对他们的工作深表感谢。
有关OpenHands中使用的开源项目和许可证列表,请参阅我们的[CREDITS.md](./CREDITS.md)文件。
## 📚 引用
```
@misc{openhands,
title={{OpenHands: An Open Platform for AI Software Developers as Generalist Agents}},
author={Xingyao Wang and Boxuan Li and Yufan Song and Frank F. Xu and Xiangru Tang and Mingchen Zhuge and Jiayi Pan and Yueqi Song and Bowen Li and Jaskirat Singh and Hoang H. Tran and Fuqiang Li and Ren Ma and Mingzhang Zheng and Bill Qian and Yanjun Shao and Niklas Muennighoff and Yizhe Zhang and Binyuan Hui and Junyang Lin and Robert Brennan and Hao Peng and Heng Ji and Graham Neubig},
year={2024},
eprint={2407.16741},
archivePrefix={arXiv},
primaryClass={cs.SE},
url={https://arxiv.org/abs/2407.16741},
}
```
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@@ -1,60 +0,0 @@
<a name="readme-top"></a>
<div align="center">
<img src="./docs/static/img/logo.png" alt="Logo" width="200">
<h1 align="center">OpenHands: コードを減らして、もっと作ろう</h1>
</div>
<div align="center">
<a href="https://github.com/All-Hands-AI/OpenHands/graphs/contributors"><img src="https://img.shields.io/github/contributors/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Contributors"></a>
<a href="https://github.com/All-Hands-AI/OpenHands/stargazers"><img src="https://img.shields.io/github/stars/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Stargazers"></a>
<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://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/>
<a href="https://docs.all-hands.dev/usage/getting-started"><img src="https://img.shields.io/badge/Documentation-000?logo=googledocs&logoColor=FFE165&style=for-the-badge" alt="ドキュメントを見る"></a>
<a href="https://arxiv.org/abs/2407.16741"><img src="https://img.shields.io/badge/Paper%20on%20Arxiv-000?logoColor=FFE165&logo=arxiv&style=for-the-badge" alt="Arxiv論文"></a>
<a href="https://docs.google.com/spreadsheets/d/1wOUdFCMyY6Nt0AIqF705KN4JKOWgeI4wUGUP60krXXs/edit?gid=0#gid=0"><img src="https://img.shields.io/badge/Benchmark%20score-000?logoColor=FFE165&logo=huggingface&style=for-the-badge" alt="評価ベンチマークスコア"></a>
<hr>
</div>
OpenHands(旧OpenDevin)へようこそ。これはAIが駆動するソフトウェア開発エージェントのプラットフォームです。
OpenHandsのエージェントは人間の開発者ができることは何でもこなします。コードを修正し、コマンドを実行し、ウェブを閲覧し、APIを呼び出し、StackOverflowからコードスニペットをコピーすることさえできます。
詳細は[docs.all-hands.dev](https://docs.all-hands.dev)をご覧いただくか、[OpenHands Cloud](https://app.all-hands.dev)に登録して始めましょう。
> [!IMPORTANT]
> 仕事でOpenHandsを使っていますか?ぜひお話を聞かせてください。[こちらの短いフォーム](https://docs.google.com/forms/d/e/1FAIpQLSet3VbGaz8z32gW9Wm-Grl4jpt5WgMXPgJ4EDPVmCETCBpJtQ/viewform)にご記入いただき、Design Partnerプログラムにご参加ください。商用機能の早期アクセスや製品ロードマップへのフィードバックの機会を提供します。
![アプリのスクリーンショット](./docs/static/img/screenshot.png)
## ☁️ OpenHands Cloud
OpenHandsを始める最も簡単な方法は[OpenHands Cloud](https://app.all-hands.dev)を利用することです。新規ユーザーには50ドル分の無料クレジットが付与されます。
## 💻 OpenHandsをローカルで実行する
OpenHandsはDockerを利用してローカル環境でも実行できます。システム要件や詳細については[Running OpenHands](https://docs.all-hands.dev/usage/installation)ガイドをご覧ください。
> [!WARNING]
> 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:0.51-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.51-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:0.51
```
**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。
OpenHandsは[http://localhost:3000](http://localhost:3000)で起動します!
+5 -12
View File
@@ -1,5 +1,4 @@
import os
from pathlib import Path
__package_name__ = 'openhands_ai'
@@ -8,16 +7,10 @@ def get_version():
# Try getting the version from pyproject.toml
try:
root_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
candidate_paths = [
Path(root_dir) / 'pyproject.toml',
Path(root_dir) / 'openhands' / 'pyproject.toml',
]
for file_path in candidate_paths:
if file_path.is_file():
with open(file_path, 'r') as f:
for line in f:
if line.strip().startswith('version ='):
return line.split('=', 1)[1].strip().strip('"').strip("'")
with open(os.path.join(root_dir, 'pyproject.toml'), 'r') as f:
for line in f:
if line.startswith('version ='):
return line.split('=')[1].strip().strip('"')
except FileNotFoundError:
pass
@@ -29,7 +22,7 @@ def get_version():
pass
try:
from pkg_resources import DistributionNotFound, get_distribution # type: ignore
from pkg_resources import DistributionNotFound, get_distribution
return get_distribution(__package_name__).version
except (ImportError, DistributionNotFound):
Binary file not shown.
+39
View File
@@ -0,0 +1,39 @@
from dotenv import load_dotenv
from openhands.agenthub.micro.agent import MicroAgent
from openhands.agenthub.micro.registry import all_microagents
from openhands.controller.agent import Agent
load_dotenv()
from openhands.agenthub import ( # noqa: E402
browsing_agent,
codeact_agent,
delegator_agent,
dummy_agent,
planner_agent,
)
__all__ = [
'codeact_agent',
'planner_agent',
'delegator_agent',
'dummy_agent',
'browsing_agent',
]
for agent in all_microagents.values():
name = agent['name']
prompt = agent['prompt']
anon_class = type(
name,
(MicroAgent,),
{
'prompt': prompt,
'agent_definition': agent,
},
)
Agent.register(name, anon_class)
@@ -125,9 +125,9 @@ class BrowsingAgent(Agent):
self.reset()
def reset(self) -> None:
"""Resets the Browsing Agent's internal state."""
"""Resets the Browsing Agent."""
super().reset()
# Reset agent-specific counters but not LLM metrics
self.cost_accumulator = 0
self.error_accumulator = 0
def step(self, state: State) -> Action:
@@ -150,13 +150,13 @@ class BrowsingAgent(Agent):
last_obs = None
last_action = None
if EVAL_MODE and len(state.view) == 1:
if EVAL_MODE and len(state.history) == 1:
# for webarena and miniwob++ eval, we need to retrieve the initial observation already in browser env
# initialize and retrieve the first observation by issuing an noop OP
# For non-benchmark browsing, the browser env starts with a blank page, and the agent is expected to first navigate to desired websites
return BrowseInteractiveAction(browser_actions='noop()')
for event in state.view:
for event in state.history:
if isinstance(event, BrowseInteractiveAction):
prev_actions.append(event.browser_actions)
last_action = event
@@ -10,24 +10,17 @@ from openhands.events.action import (
class BrowsingResponseParser(ResponseParser):
def __init__(self) -> None:
def __init__(self):
# Need to pay attention to the item order in self.action_parsers
super().__init__()
self.action_parsers = [BrowsingActionParserMessage()]
self.default_parser = BrowsingActionParserBrowseInteractive()
def parse(
self, response: str | dict[str, list[dict[str, dict[str, str | None]]]]
) -> Action:
if isinstance(response, str):
action_str = response
else:
action_str = self.parse_response(response)
def parse(self, response: str) -> Action:
action_str = self.parse_response(response)
return self.parse_action(action_str)
def parse_response(
self, response: dict[str, list[dict[str, dict[str, str | None]]]]
) -> str:
def parse_response(self, response) -> str:
action_str = response['choices'][0]['message']['content']
if action_str is None:
return ''
@@ -54,7 +47,9 @@ class BrowsingActionParserMessage(ActionParser):
- BrowseInteractiveAction(browser_actions) - unexpected response format, message back to user
"""
def __init__(self) -> None:
def __init__(
self,
):
pass
def check_condition(self, action_str: str) -> bool:
@@ -74,7 +69,9 @@ class BrowsingActionParserBrowseInteractive(ActionParser):
- BrowseInteractiveAction(browser_actions) - handle send message to user function call in BrowserGym
"""
def __init__(self) -> None:
def __init__(
self,
):
pass
def check_condition(self, action_str: str) -> bool:
@@ -5,7 +5,7 @@ from warnings import warn
import yaml
def yaml_parser(message: str) -> tuple[dict, bool, str]:
def yaml_parser(message):
"""Parse a yaml message for the retry function."""
# saves gpt-3.5 from some yaml parsing errors
message = re.sub(r':\s*\n(?=\S|\n)', ': ', message)
@@ -22,9 +22,7 @@ def yaml_parser(message: str) -> tuple[dict, bool, str]:
return value, valid, retry_message
def _compress_chunks(
text: str, identifier: str, skip_list: list[str], split_regex: str = '\n\n+'
) -> tuple[dict[str, str], str]:
def _compress_chunks(text, identifier, skip_list, split_regex='\n\n+'):
"""Compress a string by replacing redundant chunks by identifiers. Chunks are defined by the split_regex."""
text_list = re.split(split_regex, text)
text_list = [chunk.strip() for chunk in text_list]
@@ -46,7 +44,7 @@ def _compress_chunks(
return def_dict, compressed_text
def compress_string(text: str) -> str:
def compress_string(text):
"""Compress a string by replacing redundant paragraphs and lines with identifiers."""
# Perform paragraph-level compression
def_dict, compressed_text = _compress_chunks(
@@ -69,7 +67,7 @@ def compress_string(text: str) -> str:
return definitions + '\n' + compressed_text
def extract_html_tags(text: str, keys: list[str]) -> dict[str, list[str]]:
def extract_html_tags(text, keys):
"""Extract the content within HTML tags for a list of keys.
Parameters
@@ -104,12 +102,7 @@ class ParseError(Exception):
pass
def parse_html_tags_raise(
text: str,
keys: list[str] | None = None,
optional_keys: list[str] | None = None,
merge_multiple: bool = False,
) -> dict[str, str]:
def parse_html_tags_raise(text, keys=(), optional_keys=(), merge_multiple=False):
"""A version of parse_html_tags that raises an exception if the parsing is not successful."""
content_dict, valid, retry_message = parse_html_tags(
text, keys, optional_keys, merge_multiple=merge_multiple
@@ -119,12 +112,7 @@ def parse_html_tags_raise(
return content_dict
def parse_html_tags(
text: str,
keys: list[str] | None = None,
optional_keys: list[str] | None = None,
merge_multiple: bool = False,
) -> tuple[dict[str, str], bool, str]:
def parse_html_tags(text, keys=(), optional_keys=(), merge_multiple=False):
"""Satisfy the parse api, extracts 1 match per key and validates that all keys are present
Parameters
@@ -145,12 +133,9 @@ def parse_html_tags(
str
A message to be displayed to the agent if the parsing was not successful.
"""
keys = keys or []
optional_keys = optional_keys or []
all_keys = list(keys) + list(optional_keys)
all_keys = tuple(keys) + tuple(optional_keys)
content_dict = extract_html_tags(text, all_keys)
retry_messages = []
result_dict: dict[str, str] = {}
for key in all_keys:
if key not in content_dict:
@@ -158,6 +143,7 @@ def parse_html_tags(
retry_messages.append(f'Missing the key <{key}> in the answer.')
else:
val = content_dict[key]
content_dict[key] = val[0]
if len(val) > 1:
if not merge_multiple:
retry_messages.append(
@@ -165,10 +151,8 @@ def parse_html_tags(
)
else:
# merge the multiple instances
result_dict[key] = '\n'.join(val)
else:
result_dict[key] = val[0]
content_dict[key] = '\n'.join(val)
valid = len(retry_messages) == 0
retry_message = '\n'.join(retry_messages)
return result_dict, valid, retry_message
return content_dict, valid, retry_message
+504
View File
@@ -0,0 +1,504 @@
import json
import os
from collections import deque
from litellm import ModelResponse
import openhands.agenthub.codeact_agent.function_calling as codeact_function_calling
from openhands.controller.agent import Agent
from openhands.controller.state.state import State
from openhands.core.config import AgentConfig
from openhands.core.logger import openhands_logger as logger
from openhands.core.message import ImageContent, Message, TextContent
from openhands.events.action import (
Action,
AgentDelegateAction,
AgentFinishAction,
BrowseInteractiveAction,
BrowseURLAction,
CmdRunAction,
FileEditAction,
IPythonRunCellAction,
MessageAction,
)
from openhands.events.observation import (
AgentDelegateObservation,
BrowserOutputObservation,
CmdOutputObservation,
FileEditObservation,
IPythonRunCellObservation,
UserRejectObservation,
)
from openhands.events.observation.error import ErrorObservation
from openhands.events.observation.observation import Observation
from openhands.events.serialization.event import truncate_content
from openhands.llm.llm import LLM
from openhands.runtime.plugins import (
AgentSkillsRequirement,
JupyterRequirement,
PluginRequirement,
)
from openhands.utils.prompt import PromptManager
class CodeActAgent(Agent):
VERSION = '2.2'
"""
The Code Act Agent is a minimalist agent.
The agent works by passing the model a list of action-observation pairs and prompting the model to take the next step.
### Overview
This agent implements the CodeAct idea ([paper](https://arxiv.org/abs/2402.01030), [tweet](https://twitter.com/xingyaow_/status/1754556835703751087)) that consolidates LLM agents **act**ions into a unified **code** action space for both *simplicity* and *performance* (see paper for more details).
The conceptual idea is illustrated below. At each turn, the agent can:
1. **Converse**: Communicate with humans in natural language to ask for clarification, confirmation, etc.
2. **CodeAct**: Choose to perform the task by executing code
- Execute any valid Linux `bash` command
- Execute any valid `Python` code with [an interactive Python interpreter](https://ipython.org/). This is simulated through `bash` command, see plugin system below for more details.
![image](https://github.com/All-Hands-AI/OpenHands/assets/38853559/92b622e3-72ad-4a61-8f41-8c040b6d5fb3)
"""
sandbox_plugins: list[PluginRequirement] = [
# NOTE: AgentSkillsRequirement need to go before JupyterRequirement, since
# AgentSkillsRequirement provides a lot of Python functions,
# and it needs to be initialized before Jupyter for Jupyter to use those functions.
AgentSkillsRequirement(),
JupyterRequirement(),
]
def __init__(
self,
llm: LLM,
config: AgentConfig,
) -> None:
"""Initializes a new instance of the CodeActAgent class.
Parameters:
- llm (LLM): The llm to be used by this agent
"""
super().__init__(llm, config)
self.reset()
self.mock_function_calling = False
if not self.llm.is_function_calling_active():
logger.info(
f'Function calling not enabled for model {self.llm.config.model}. '
'Mocking function calling via prompting.'
)
self.mock_function_calling = True
# Function calling mode
self.tools = codeact_function_calling.get_tools(
codeact_enable_browsing=self.config.codeact_enable_browsing,
codeact_enable_jupyter=self.config.codeact_enable_jupyter,
codeact_enable_llm_editor=self.config.codeact_enable_llm_editor,
)
logger.debug(
f'TOOLS loaded for CodeActAgent: {json.dumps(self.tools, indent=2)}'
)
self.prompt_manager = PromptManager(
microagent_dir=os.path.join(os.path.dirname(__file__), 'micro')
if self.config.use_microagents
else None,
prompt_dir=os.path.join(os.path.dirname(__file__), 'prompts'),
disabled_microagents=self.config.disabled_microagents,
)
self.pending_actions: deque[Action] = deque()
def get_action_message(
self,
action: Action,
pending_tool_call_action_messages: dict[str, Message],
) -> list[Message]:
"""Converts an action into a message format that can be sent to the LLM.
This method handles different types of actions and formats them appropriately:
1. For tool-based actions (AgentDelegate, CmdRun, IPythonRunCell, FileEdit) and agent-sourced AgentFinish:
- In function calling mode: Stores the LLM's response in pending_tool_call_action_messages
- In non-function calling mode: Creates a message with the action string
2. For MessageActions: Creates a message with the text content and optional image content
Args:
action (Action): The action to convert. Can be one of:
- CmdRunAction: For executing bash commands
- IPythonRunCellAction: For running IPython code
- FileEditAction: For editing files
- BrowseInteractiveAction: For browsing the web
- AgentFinishAction: For ending the interaction
- MessageAction: For sending messages
pending_tool_call_action_messages (dict[str, Message]): Dictionary mapping response IDs
to their corresponding messages. Used in function calling mode to track tool calls
that are waiting for their results.
Returns:
list[Message]: A list containing the formatted message(s) for the action.
May be empty if the action is handled as a tool call in function calling mode.
Note:
In function calling mode, tool-based actions are stored in pending_tool_call_action_messages
rather than being returned immediately. They will be processed later when all corresponding
tool call results are available.
"""
# create a regular message from an event
if isinstance(
action,
(
AgentDelegateAction,
IPythonRunCellAction,
FileEditAction,
BrowseInteractiveAction,
BrowseURLAction,
),
) or (isinstance(action, CmdRunAction) and action.source == 'agent'):
tool_metadata = action.tool_call_metadata
assert tool_metadata is not None, (
'Tool call metadata should NOT be None when function calling is enabled. Action: '
+ str(action)
)
llm_response: ModelResponse = tool_metadata.model_response
assistant_msg = llm_response.choices[0].message
# Add the LLM message (assistant) that initiated the tool calls
# (overwrites any previous message with the same response_id)
logger.debug(
f'Tool calls type: {type(assistant_msg.tool_calls)}, value: {assistant_msg.tool_calls}'
)
pending_tool_call_action_messages[llm_response.id] = Message(
role=assistant_msg.role,
# tool call content SHOULD BE a string
content=[TextContent(text=assistant_msg.content or '')]
if assistant_msg.content is not None
else [],
tool_calls=assistant_msg.tool_calls,
)
return []
elif isinstance(action, AgentFinishAction):
role = 'user' if action.source == 'user' else 'assistant'
# when agent finishes, it has tool_metadata
# which has already been executed, and it doesn't have a response
# when the user finishes (/exit), we don't have tool_metadata
tool_metadata = action.tool_call_metadata
if tool_metadata is not None:
# take the response message from the tool call
assistant_msg = tool_metadata.model_response.choices[0].message
content = assistant_msg.content or ''
# save content if any, to thought
if action.thought:
if action.thought != content:
action.thought += '\n' + content
else:
action.thought = content
# remove the tool call metadata
action.tool_call_metadata = None
return [
Message(
role=role,
content=[TextContent(text=action.thought)],
)
]
elif isinstance(action, MessageAction):
role = 'user' if action.source == 'user' else 'assistant'
content = [TextContent(text=action.content or '')]
if self.llm.vision_is_active() and action.image_urls:
content.append(ImageContent(image_urls=action.image_urls))
return [
Message(
role=role,
content=content,
)
]
elif isinstance(action, CmdRunAction) and action.source == 'user':
content = [
TextContent(text=f'User executed the command:\n{action.command}')
]
return [
Message(
role='user',
content=content,
)
]
return []
def get_observation_message(
self,
obs: Observation,
tool_call_id_to_message: dict[str, Message],
) -> list[Message]:
"""Converts an observation into a message format that can be sent to the LLM.
This method handles different types of observations and formats them appropriately:
- CmdOutputObservation: Formats command execution results with exit codes
- IPythonRunCellObservation: Formats IPython cell execution results, replacing base64 images
- FileEditObservation: Formats file editing results
- AgentDelegateObservation: Formats results from delegated agent tasks
- ErrorObservation: Formats error messages from failed actions
- UserRejectObservation: Formats user rejection messages
In function calling mode, observations with tool_call_metadata are stored in
tool_call_id_to_message for later processing instead of being returned immediately.
Args:
obs (Observation): The observation to convert
tool_call_id_to_message (dict[str, Message]): Dictionary mapping tool call IDs
to their corresponding messages (used in function calling mode)
Returns:
list[Message]: A list containing the formatted message(s) for the observation.
May be empty if the observation is handled as a tool response in function calling mode.
Raises:
ValueError: If the observation type is unknown
"""
message: Message
max_message_chars = self.llm.config.max_message_chars
if isinstance(obs, CmdOutputObservation):
# if it doesn't have tool call metadata, it was triggered by a user action
if obs.tool_call_metadata is None:
text = truncate_content(
f'\nObserved result of command executed by user:\n{obs.content}',
max_message_chars,
)
else:
text = truncate_content(
obs.content + obs.interpreter_details, max_message_chars
)
text += f'\n[Command finished with exit code {obs.exit_code}]'
message = Message(role='user', content=[TextContent(text=text)])
elif isinstance(obs, IPythonRunCellObservation):
text = obs.content
# replace base64 images with a placeholder
splitted = text.split('\n')
for i, line in enumerate(splitted):
if '![image](data:image/png;base64,' in line:
splitted[i] = (
'![image](data:image/png;base64, ...) already displayed to user'
)
text = '\n'.join(splitted)
text = truncate_content(text, max_message_chars)
message = Message(role='user', content=[TextContent(text=text)])
elif isinstance(obs, FileEditObservation):
text = truncate_content(str(obs), max_message_chars)
message = Message(role='user', content=[TextContent(text=text)])
elif isinstance(obs, BrowserOutputObservation):
text = obs.get_agent_obs_text()
message = Message(
role='user',
content=[TextContent(text=text)],
)
elif isinstance(obs, AgentDelegateObservation):
text = truncate_content(
obs.outputs['content'] if 'content' in obs.outputs else '',
max_message_chars,
)
message = Message(role='user', content=[TextContent(text=text)])
elif isinstance(obs, ErrorObservation):
text = truncate_content(obs.content, max_message_chars)
text += '\n[Error occurred in processing last action]'
message = Message(role='user', content=[TextContent(text=text)])
elif isinstance(obs, UserRejectObservation):
text = 'OBSERVATION:\n' + truncate_content(obs.content, max_message_chars)
text += '\n[Last action has been rejected by the user]'
message = Message(role='user', content=[TextContent(text=text)])
else:
# If an observation message is not returned, it will cause an error
# when the LLM tries to return the next message
raise ValueError(f'Unknown observation type: {type(obs)}')
# Update the message as tool response properly
if (tool_call_metadata := obs.tool_call_metadata) is not None:
tool_call_id_to_message[tool_call_metadata.tool_call_id] = Message(
role='tool',
content=message.content,
tool_call_id=tool_call_metadata.tool_call_id,
name=tool_call_metadata.function_name,
)
# No need to return the observation message
# because it will be added by get_action_message when all the corresponding
# tool calls in the SAME request are processed
return []
return [message]
def reset(self) -> None:
"""Resets the CodeAct Agent."""
super().reset()
def step(self, state: State) -> Action:
"""Performs one step using the CodeAct Agent.
This includes gathering info on previous steps and prompting the model to make a command to execute.
Parameters:
- state (State): used to get updated info
Returns:
- CmdRunAction(command) - bash command to run
- IPythonRunCellAction(code) - IPython code to run
- AgentDelegateAction(agent, inputs) - delegate action for (sub)task
- MessageAction(content) - Message action to run (e.g. ask for clarification)
- AgentFinishAction() - end the interaction
"""
# Continue with pending actions if any
if self.pending_actions:
return self.pending_actions.popleft()
# if we're done, go back
latest_user_message = state.get_last_user_message()
if latest_user_message and latest_user_message.content.strip() == '/exit':
return AgentFinishAction()
# prepare what we want to send to the LLM
messages = self._get_messages(state)
params: dict = {
'messages': self.llm.format_messages_for_llm(messages),
}
params['tools'] = self.tools
if self.mock_function_calling:
params['mock_function_calling'] = True
response = self.llm.completion(**params)
actions = codeact_function_calling.response_to_actions(response)
for action in actions:
self.pending_actions.append(action)
return self.pending_actions.popleft()
def _get_messages(self, state: State) -> list[Message]:
"""Constructs the message history for the LLM conversation.
This method builds a structured conversation history by processing events from the state
and formatting them into messages that the LLM can understand. It handles both regular
message flow and function-calling scenarios.
The method performs the following steps:
1. Initializes with system prompt and optional initial user message
2. Processes events (Actions and Observations) into messages
3. Handles tool calls and their responses in function-calling mode
4. Manages message role alternation (user/assistant/tool)
5. Applies caching for specific LLM providers (e.g., Anthropic)
6. Adds environment reminders for non-function-calling mode
Args:
state (State): The current state object containing conversation history and other metadata
Returns:
list[Message]: A list of formatted messages ready for LLM consumption, including:
- System message with prompt
- Initial user message (if configured)
- Action messages (from both user and assistant)
- Observation messages (including tool responses)
- Environment reminders (in non-function-calling mode)
Note:
- In function-calling mode, tool calls and their responses are carefully tracked
to maintain proper conversation flow
- Messages from the same role are combined to prevent consecutive same-role messages
- For Anthropic models, specific messages are cached according to their documentation
"""
if not self.prompt_manager:
raise Exception('Prompt Manager not instantiated.')
messages: list[Message] = [
Message(
role='system',
content=[
TextContent(
text=self.prompt_manager.get_system_message(),
cache_prompt=self.llm.is_caching_prompt_active(),
)
],
)
]
example_message = self.prompt_manager.get_example_user_message()
if example_message:
messages.append(
Message(
role='user',
content=[TextContent(text=example_message)],
cache_prompt=self.llm.is_caching_prompt_active(),
)
)
pending_tool_call_action_messages: dict[str, Message] = {}
tool_call_id_to_message: dict[str, Message] = {}
events = list(state.history)
for event in events:
# create a regular message from an event
if isinstance(event, Action):
messages_to_add = self.get_action_message(
action=event,
pending_tool_call_action_messages=pending_tool_call_action_messages,
)
elif isinstance(event, Observation):
messages_to_add = self.get_observation_message(
obs=event,
tool_call_id_to_message=tool_call_id_to_message,
)
else:
raise ValueError(f'Unknown event type: {type(event)}')
# Check pending tool call action messages and see if they are complete
_response_ids_to_remove = []
for (
response_id,
pending_message,
) in pending_tool_call_action_messages.items():
assert pending_message.tool_calls is not None, (
'Tool calls should NOT be None when function calling is enabled & the message is considered pending tool call. '
f'Pending message: {pending_message}'
)
if all(
tool_call.id in tool_call_id_to_message
for tool_call in pending_message.tool_calls
):
# If complete:
# -- 1. Add the message that **initiated** the tool calls
messages_to_add.append(pending_message)
# -- 2. Add the tool calls **results***
for tool_call in pending_message.tool_calls:
messages_to_add.append(tool_call_id_to_message[tool_call.id])
tool_call_id_to_message.pop(tool_call.id)
_response_ids_to_remove.append(response_id)
# Cleanup the processed pending tool messages
for response_id in _response_ids_to_remove:
pending_tool_call_action_messages.pop(response_id)
for message in messages_to_add:
if message:
if message.role == 'user':
self.prompt_manager.enhance_message(message)
# handle error if the message is the SAME role as the previous message
# litellm.exceptions.BadRequestError: litellm.BadRequestError: OpenAIException - Error code: 400 - {'detail': 'Only supports u/a/u/a/u...'}
# there shouldn't be two consecutive messages from the same role
# NOTE: we shouldn't combine tool messages because each of them has a different tool_call_id
if (
messages
and messages[-1].role == message.role
and message.role != 'tool'
):
messages[-1].content.extend(message.content)
else:
messages.append(message)
if self.llm.is_caching_prompt_active():
# NOTE: this is only needed for anthropic
# following logic here:
# https://github.com/anthropics/anthropic-quickstarts/blob/8f734fd08c425c6ec91ddd613af04ff87d70c5a0/computer-use-demo/computer_use_demo/loop.py#L241-L262
breakpoints_remaining = 3 # remaining 1 for system/tool
for message in reversed(messages):
if message.role == 'user' or message.role == 'tool':
if breakpoints_remaining > 0:
message.content[
-1
].cache_prompt = True # Last item inside the message content
breakpoints_remaining -= 1
else:
break
return messages
+554
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@@ -0,0 +1,554 @@
"""This file contains the function calling implementation for different actions.
This is similar to the functionality of `CodeActResponseParser`.
"""
import json
from browsergym.core.action.highlevel import HighLevelActionSet
from litellm import (
ChatCompletionToolParam,
ChatCompletionToolParamFunctionChunk,
ModelResponse,
)
from openhands.core.exceptions import FunctionCallNotExistsError
from openhands.core.logger import openhands_logger as logger
from openhands.events.action import (
Action,
AgentDelegateAction,
AgentFinishAction,
BrowseInteractiveAction,
BrowseURLAction,
CmdRunAction,
FileEditAction,
IPythonRunCellAction,
MessageAction,
)
from openhands.events.tool import ToolCallMetadata
_BASH_DESCRIPTION = """Execute a bash command in the terminal.
* Long running commands: For commands that may run indefinitely, it should be run in the background and the output should be redirected to a file, e.g. command = `python3 app.py > server.log 2>&1 &`.
* Interactive: If a bash command returns exit code `-1`, this means the process is not yet finished. The assistant must then send a second call to terminal with an empty `command` (which will retrieve any additional logs), or it can send additional text (set `command` to the text) to STDIN of the running process, or it can send command=`ctrl+c` to interrupt the process.
* Timeout: If a command execution result says "Command timed out. Sending SIGINT to the process", the assistant should retry running the command in the background.
"""
CmdRunTool = ChatCompletionToolParam(
type='function',
function=ChatCompletionToolParamFunctionChunk(
name='execute_bash',
description=_BASH_DESCRIPTION,
parameters={
'type': 'object',
'properties': {
'command': {
'type': 'string',
'description': 'The bash command to execute. Can be empty to view additional logs when previous exit code is `-1`. Can be `ctrl+c` to interrupt the currently running process.',
},
},
'required': ['command'],
},
),
)
_IPYTHON_DESCRIPTION = """Run a cell of Python code in an IPython environment.
* The assistant should define variables and import packages before using them.
* The variable defined in the IPython environment will not be available outside the IPython environment (e.g., in terminal).
"""
IPythonTool = ChatCompletionToolParam(
type='function',
function=ChatCompletionToolParamFunctionChunk(
name='execute_ipython_cell',
description=_IPYTHON_DESCRIPTION,
parameters={
'type': 'object',
'properties': {
'code': {
'type': 'string',
'description': 'The Python code to execute. Supports magic commands like %pip.',
},
},
'required': ['code'],
},
),
)
_FILE_EDIT_DESCRIPTION = """Edit a file.
* The assistant can edit files by specifying the file path and providing a draft of the new file content.
* The draft content doesn't need to be exactly the same as the existing file; the assistant may skip unchanged lines using comments like `# unchanged` to indicate unchanged sections.
* IMPORTANT: For large files (e.g., > 300 lines), specify the range of lines to edit using `start` and `end` (1-indexed, inclusive). The range should be smaller than 300 lines.
* To append to a file, set both `start` and `end` to `-1`.
* If the file doesn't exist, a new file will be created with the provided content.
**Example 1: general edit for short files**
For example, given an existing file `/path/to/file.py` that looks like this:
(this is the end of the file)
1|class MyClass:
2| def __init__(self):
3| self.x = 1
4| self.y = 2
5| self.z = 3
6|
7|print(MyClass().z)
8|print(MyClass().x)
(this is the end of the file)
The assistant wants to edit the file to look like this:
(this is the end of the file)
1|class MyClass:
2| def __init__(self):
3| self.x = 1
4| self.y = 2
5|
6|print(MyClass().y)
(this is the end of the file)
The assistant may produce an edit action like this:
path="/path/to/file.txt" start=1 end=-1
content=```
class MyClass:
def __init__(self):
# no changes before
self.y = 2
# self.z is removed
# MyClass().z is removed
print(MyClass().y)
```
**Example 2: append to file for short files**
For example, given an existing file `/path/to/file.py` that looks like this:
(this is the end of the file)
1|class MyClass:
2| def __init__(self):
3| self.x = 1
4| self.y = 2
5| self.z = 3
6|
7|print(MyClass().z)
8|print(MyClass().x)
(this is the end of the file)
To append the following lines to the file:
```python
print(MyClass().y)
```
The assistant may produce an edit action like this:
path="/path/to/file.txt" start=-1 end=-1
content=```
print(MyClass().y)
```
**Example 3: edit for long files**
Given an existing file `/path/to/file.py` that looks like this:
(1000 more lines above)
1001|class MyClass:
1002| def __init__(self):
1003| self.x = 1
1004| self.y = 2
1005| self.z = 3
1006|
1007|print(MyClass().z)
1008|print(MyClass().x)
(2000 more lines below)
The assistant wants to edit the file to look like this:
(1000 more lines above)
1001|class MyClass:
1002| def __init__(self):
1003| self.x = 1
1004| self.y = 2
1005|
1006|print(MyClass().y)
(2000 more lines below)
The assistant may produce an edit action like this:
path="/path/to/file.txt" start=1001 end=1008
content=```
class MyClass:
def __init__(self):
# no changes before
self.y = 2
# self.z is removed
# MyClass().z is removed
print(MyClass().y)
```
"""
LLMBasedFileEditTool = ChatCompletionToolParam(
type='function',
function=ChatCompletionToolParamFunctionChunk(
name='edit_file',
description=_FILE_EDIT_DESCRIPTION,
parameters={
'type': 'object',
'properties': {
'path': {
'type': 'string',
'description': 'The absolute path to the file to be edited.',
},
'new_content_draft': {
'type': 'string',
'description': 'A draft of the new content for the file being edited. Note that the assistant may skip unchanged lines.',
},
'start': {
'type': 'integer',
'description': 'The starting line number for the edit (1-indexed, inclusive). Default is 1.',
},
'end': {
'type': 'integer',
'description': 'The ending line number for the edit (1-indexed, inclusive). Default is -1 (end of file).',
},
},
'required': ['path', 'content'],
},
),
)
_STR_REPLACE_EDITOR_DESCRIPTION = """Custom editing tool for viewing, creating and editing files
* State is persistent across command calls and discussions with the user
* If `path` is a file, `view` displays the result of applying `cat -n`. If `path` is a directory, `view` lists non-hidden files and directories up to 2 levels deep
* The `create` command cannot be used if the specified `path` already exists as a file
* If a `command` generates a long output, it will be truncated and marked with `<response clipped>`
* The `undo_edit` command will revert the last edit made to the file at `path`
Notes for using the `str_replace` command:
* The `old_str` parameter should match EXACTLY one or more consecutive lines from the original file. Be mindful of whitespaces!
* If the `old_str` parameter is not unique in the file, the replacement will not be performed. Make sure to include enough context in `old_str` to make it unique
* The `new_str` parameter should contain the edited lines that should replace the `old_str`
"""
StrReplaceEditorTool = ChatCompletionToolParam(
type='function',
function=ChatCompletionToolParamFunctionChunk(
name='str_replace_editor',
description=_STR_REPLACE_EDITOR_DESCRIPTION,
parameters={
'type': 'object',
'properties': {
'command': {
'description': 'The commands to run. Allowed options are: `view`, `create`, `str_replace`, `insert`, `undo_edit`.',
'enum': ['view', 'create', 'str_replace', 'insert', 'undo_edit'],
'type': 'string',
},
'path': {
'description': 'Absolute path to file or directory, e.g. `/workspace/file.py` or `/workspace`.',
'type': 'string',
},
'file_text': {
'description': 'Required parameter of `create` command, with the content of the file to be created.',
'type': 'string',
},
'old_str': {
'description': 'Required parameter of `str_replace` command containing the string in `path` to replace.',
'type': 'string',
},
'new_str': {
'description': 'Optional parameter of `str_replace` command containing the new string (if not given, no string will be added). Required parameter of `insert` command containing the string to insert.',
'type': 'string',
},
'insert_line': {
'description': 'Required parameter of `insert` command. The `new_str` will be inserted AFTER the line `insert_line` of `path`.',
'type': 'integer',
},
'view_range': {
'description': 'Optional parameter of `view` command when `path` points to a file. If none is given, the full file is shown. If provided, the file will be shown in the indicated line number range, e.g. [11, 12] will show lines 11 and 12. Indexing at 1 to start. Setting `[start_line, -1]` shows all lines from `start_line` to the end of the file.',
'items': {'type': 'integer'},
'type': 'array',
},
},
'required': ['command', 'path'],
},
),
)
_WEB_DESCRIPTION = """Read (convert to markdown) content from a webpage. You should prefer using the `webpage_read` tool over the `browser` tool, but do use the `browser` tool if you need to interact with a webpage (e.g., click a button, fill out a form, etc.).
You may use the `webpage_read` tool to read content from a webpage, and even search the webpage content using a Google search query (e.g., url=`https://www.google.com/search?q=YOUR_QUERY`).
"""
WebReadTool = ChatCompletionToolParam(
type='function',
function=ChatCompletionToolParamFunctionChunk(
name='web_read',
description=_WEB_DESCRIPTION,
parameters={
'type': 'object',
'properties': {
'url': {
'type': 'string',
'description': 'The URL of the webpage to read. You can also use a Google search query here (e.g., `https://www.google.com/search?q=YOUR_QUERY`).',
}
},
'required': ['url'],
},
),
)
# from browsergym/core/action/highlevel.py
_browser_action_space = HighLevelActionSet(
subsets=['bid', 'nav'],
strict=False, # less strict on the parsing of the actions
multiaction=True, # enable to agent to take multiple actions at once
)
_BROWSER_DESCRIPTION = """Interact with the browser using Python code. Use it ONLY when you need to interact with a webpage.
See the description of "code" parameter for more details.
Multiple actions can be provided at once, but will be executed sequentially without any feedback from the page.
More than 2-3 actions usually leads to failure or unexpected behavior. Example:
fill('a12', 'example with "quotes"')
click('a51')
click('48', button='middle', modifiers=['Shift'])
"""
_BROWSER_TOOL_DESCRIPTION = """
The following 15 functions are available. Nothing else is supported.
goto(url: str)
Description: Navigate to a url.
Examples:
goto('http://www.example.com')
go_back()
Description: Navigate to the previous page in history.
Examples:
go_back()
go_forward()
Description: Navigate to the next page in history.
Examples:
go_forward()
noop(wait_ms: float = 1000)
Description: Do nothing, and optionally wait for the given time (in milliseconds).
You can use this to get the current page content and/or wait for the page to load.
Examples:
noop()
noop(500)
scroll(delta_x: float, delta_y: float)
Description: Scroll horizontally and vertically. Amounts in pixels, positive for right or down scrolling, negative for left or up scrolling. Dispatches a wheel event.
Examples:
scroll(0, 200)
scroll(-50.2, -100.5)
fill(bid: str, value: str)
Description: Fill out a form field. It focuses the element and triggers an input event with the entered text. It works for <input>, <textarea> and [contenteditable] elements.
Examples:
fill('237', 'example value')
fill('45', 'multi-line\nexample')
fill('a12', 'example with "quotes"')
select_option(bid: str, options: str | list[str])
Description: Select one or multiple options in a <select> element. You can specify option value or label to select. Multiple options can be selected.
Examples:
select_option('a48', 'blue')
select_option('c48', ['red', 'green', 'blue'])
click(bid: str, button: Literal['left', 'middle', 'right'] = 'left', modifiers: list[typing.Literal['Alt', 'Control', 'ControlOrMeta', 'Meta', 'Shift']] = [])
Description: Click an element.
Examples:
click('a51')
click('b22', button='right')
click('48', button='middle', modifiers=['Shift'])
dblclick(bid: str, button: Literal['left', 'middle', 'right'] = 'left', modifiers: list[typing.Literal['Alt', 'Control', 'ControlOrMeta', 'Meta', 'Shift']] = [])
Description: Double click an element.
Examples:
dblclick('12')
dblclick('ca42', button='right')
dblclick('178', button='middle', modifiers=['Shift'])
hover(bid: str)
Description: Hover over an element.
Examples:
hover('b8')
press(bid: str, key_comb: str)
Description: Focus the matching element and press a combination of keys. It accepts the logical key names that are emitted in the keyboardEvent.key property of the keyboard events: Backquote, Minus, Equal, Backslash, Backspace, Tab, Delete, Escape, ArrowDown, End, Enter, Home, Insert, PageDown, PageUp, ArrowRight, ArrowUp, F1 - F12, Digit0 - Digit9, KeyA - KeyZ, etc. You can alternatively specify a single character you'd like to produce such as "a" or "#". Following modification shortcuts are also supported: Shift, Control, Alt, Meta, ShiftLeft, ControlOrMeta. ControlOrMeta resolves to Control on Windows and Linux and to Meta on macOS.
Examples:
press('88', 'Backspace')
press('a26', 'ControlOrMeta+a')
press('a61', 'Meta+Shift+t')
focus(bid: str)
Description: Focus the matching element.
Examples:
focus('b455')
clear(bid: str)
Description: Clear the input field.
Examples:
clear('996')
drag_and_drop(from_bid: str, to_bid: str)
Description: Perform a drag & drop. Hover the element that will be dragged. Press left mouse button. Move mouse to the element that will receive the drop. Release left mouse button.
Examples:
drag_and_drop('56', '498')
upload_file(bid: str, file: str | list[str])
Description: Click an element and wait for a "filechooser" event, then select one or multiple input files for upload. Relative file paths are resolved relative to the current working directory. An empty list clears the selected files.
Examples:
upload_file('572', '/home/user/my_receipt.pdf')
upload_file('63', ['/home/bob/Documents/image.jpg', '/home/bob/Documents/file.zip'])
"""
for _, action in _browser_action_space.action_set.items():
assert (
action.signature in _BROWSER_TOOL_DESCRIPTION
), f'Browser description mismatch. Please double check if the BrowserGym updated their action space.\n\nAction: {action.signature}'
assert (
action.description in _BROWSER_TOOL_DESCRIPTION
), f'Browser description mismatch. Please double check if the BrowserGym updated their action space.\n\nAction: {action.description}'
BrowserTool = ChatCompletionToolParam(
type='function',
function=ChatCompletionToolParamFunctionChunk(
name='browser',
description=_BROWSER_DESCRIPTION,
parameters={
'type': 'object',
'properties': {
'code': {
'type': 'string',
'description': (
'The Python code that interacts with the browser.\n'
+ _BROWSER_TOOL_DESCRIPTION
),
}
},
'required': ['code'],
},
),
)
_FINISH_DESCRIPTION = """Finish the interaction when the task is complete OR if the assistant cannot proceed further with the task."""
FinishTool = ChatCompletionToolParam(
type='function',
function=ChatCompletionToolParamFunctionChunk(
name='finish',
description=_FINISH_DESCRIPTION,
),
)
def combine_thought(action: Action, thought: str) -> Action:
if not hasattr(action, 'thought'):
return action
if thought:
action.thought = thought
return action
def response_to_actions(response: ModelResponse) -> list[Action]:
actions: list[Action] = []
assert len(response.choices) == 1, 'Only one choice is supported for now'
assistant_msg = response.choices[0].message
if assistant_msg.tool_calls:
# Check if there's assistant_msg.content. If so, add it to the thought
thought = ''
if isinstance(assistant_msg.content, str):
thought = assistant_msg.content
elif isinstance(assistant_msg.content, list):
for msg in assistant_msg.content:
if msg['type'] == 'text':
thought += msg['text']
# Process each tool call to OpenHands action
for i, tool_call in enumerate(assistant_msg.tool_calls):
action: Action
try:
arguments = json.loads(tool_call.function.arguments)
except json.decoder.JSONDecodeError as e:
raise RuntimeError(
f'Failed to parse tool call arguments: {tool_call.function.arguments}'
) from e
if tool_call.function.name == 'execute_bash':
action = CmdRunAction(**arguments)
elif tool_call.function.name == 'execute_ipython_cell':
action = IPythonRunCellAction(**arguments)
elif tool_call.function.name == 'delegate_to_browsing_agent':
action = AgentDelegateAction(
agent='BrowsingAgent',
inputs=arguments,
)
elif tool_call.function.name == 'finish':
action = AgentFinishAction()
elif tool_call.function.name == 'edit_file':
action = FileEditAction(**arguments)
elif tool_call.function.name == 'str_replace_editor':
# We implement this in agent_skills, which can be used via Jupyter
# convert tool_call.function.arguments to kwargs that can be passed to file_editor
code = f'print(file_editor(**{arguments}))'
logger.debug(
f'TOOL CALL: str_replace_editor -> file_editor with code: {code}'
)
action = IPythonRunCellAction(code=code, include_extra=False)
elif tool_call.function.name == 'browser':
action = BrowseInteractiveAction(browser_actions=arguments['code'])
elif tool_call.function.name == 'web_read':
action = BrowseURLAction(url=arguments['url'])
else:
raise FunctionCallNotExistsError(
f'Tool {tool_call.function.name} is not registered. (arguments: {arguments}). Please check the tool name and retry with an existing tool.'
)
# We only add thought to the first action
if i == 0:
action = combine_thought(action, thought)
# Add metadata for tool calling
action.tool_call_metadata = ToolCallMetadata(
tool_call_id=tool_call.id,
function_name=tool_call.function.name,
model_response=response,
total_calls_in_response=len(assistant_msg.tool_calls),
)
actions.append(action)
else:
actions.append(
MessageAction(content=assistant_msg.content, wait_for_response=True)
)
assert len(actions) >= 1
return actions
def get_tools(
codeact_enable_browsing: bool = False,
codeact_enable_llm_editor: bool = False,
codeact_enable_jupyter: bool = False,
) -> list[ChatCompletionToolParam]:
tools = [CmdRunTool, FinishTool]
if codeact_enable_browsing:
tools.append(WebReadTool)
tools.append(BrowserTool)
if codeact_enable_jupyter:
tools.append(IPythonTool)
if codeact_enable_llm_editor:
tools.append(LLMBasedFileEditTool)
else:
tools.append(StrReplaceEditorTool)
return tools
@@ -0,0 +1,6 @@
You are OpenHands agent, a helpful AI assistant that can interact with a computer to solve tasks.
<IMPORTANT>
* If user provides a path, you should NOT assume it's relative to the current working directory. Instead, you should explore the file system to find the file before working on it.
* When configuring git credentials, use "openhands" as the user.name and "openhands@all-hands.dev" as the user.email by default, unless explicitly instructed otherwise.
* The assistant MUST NOT include comments in the code unless they are necessary to describe non-obvious behavior.
</IMPORTANT>
+4
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@@ -0,0 +1,4 @@
from openhands.agenthub.delegator_agent.agent import DelegatorAgent
from openhands.controller.agent import Agent
Agent.register('DelegatorAgent', DelegatorAgent)
+87
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@@ -0,0 +1,87 @@
from openhands.controller.agent import Agent
from openhands.controller.state.state import State
from openhands.core.config import AgentConfig
from openhands.events.action import Action, AgentDelegateAction, AgentFinishAction
from openhands.events.observation import AgentDelegateObservation, Observation
from openhands.llm.llm import LLM
class DelegatorAgent(Agent):
VERSION = '1.0'
"""
The Delegator Agent is responsible for delegating tasks to other agents based on the current task.
"""
current_delegate: str = ''
def __init__(self, llm: LLM, config: AgentConfig):
"""Initialize the Delegator Agent with an LLM
Parameters:
- llm (LLM): The llm to be used by this agent
"""
super().__init__(llm, config)
def step(self, state: State) -> Action:
"""Checks to see if current step is completed, returns AgentFinishAction if True.
Otherwise, delegates the task to the next agent in the pipeline.
Parameters:
- state (State): The current state given the previous actions and observations
Returns:
- AgentFinishAction: If the last state was 'completed', 'verified', or 'abandoned'
- AgentDelegateAction: The next agent to delegate the task to
"""
if self.current_delegate == '':
self.current_delegate = 'study'
task, _ = state.get_current_user_intent()
return AgentDelegateAction(
agent='StudyRepoForTaskAgent', inputs={'task': task}
)
# last observation in history should be from the delegate
last_observation = None
for event in reversed(state.history):
if isinstance(event, Observation):
last_observation = event
break
if not isinstance(last_observation, AgentDelegateObservation):
raise Exception('Last observation is not an AgentDelegateObservation')
goal, _ = state.get_current_user_intent()
if self.current_delegate == 'study':
self.current_delegate = 'coder'
return AgentDelegateAction(
agent='CoderAgent',
inputs={
'task': goal,
'summary': last_observation.outputs['summary'],
},
)
elif self.current_delegate == 'coder':
self.current_delegate = 'verifier'
return AgentDelegateAction(
agent='VerifierAgent',
inputs={
'task': goal,
},
)
elif self.current_delegate == 'verifier':
if (
'completed' in last_observation.outputs
and last_observation.outputs['completed']
):
return AgentFinishAction()
else:
self.current_delegate = 'coder'
return AgentDelegateAction(
agent='CoderAgent',
inputs={
'task': goal,
'summary': last_observation.outputs['summary'],
},
)
else:
raise Exception('Invalid delegate state')
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from typing import TypedDict, Union
from openhands.controller.agent import Agent
from openhands.controller.state.state import State
from openhands.core.config import AgentConfig
from openhands.core.schema import AgentState
from openhands.events.action import (
Action,
AddTaskAction,
AgentFinishAction,
AgentRejectAction,
BrowseInteractiveAction,
BrowseURLAction,
CmdRunAction,
FileReadAction,
FileWriteAction,
MessageAction,
ModifyTaskAction,
)
from openhands.events.observation import (
AgentStateChangedObservation,
CmdOutputObservation,
FileReadObservation,
FileWriteObservation,
NullObservation,
Observation,
)
from openhands.events.serialization.event import event_to_dict
from openhands.llm.llm import LLM
"""
FIXME: There are a few problems this surfaced
* FileWrites seem to add an unintended newline at the end of the file
* Browser not working
"""
ActionObs = TypedDict(
'ActionObs', {'action': Action, 'observations': list[Observation]}
)
class DummyAgent(Agent):
VERSION = '1.0'
"""
The DummyAgent is used for e2e testing. It just sends the same set of actions deterministically,
without making any LLM calls.
"""
def __init__(self, llm: LLM, config: AgentConfig):
super().__init__(llm, config)
self.steps: list[ActionObs] = [
{
'action': AddTaskAction(
parent='None', goal='check the current directory'
),
'observations': [],
},
{
'action': AddTaskAction(parent='0', goal='run ls'),
'observations': [],
},
{
'action': ModifyTaskAction(task_id='0', state='in_progress'),
'observations': [],
},
{
'action': MessageAction('Time to get started!'),
'observations': [],
},
{
'action': CmdRunAction(command='echo "foo"'),
'observations': [
CmdOutputObservation(
'foo', command_id=-1, command='echo "foo"', exit_code=0
)
],
},
{
'action': FileWriteAction(
content='echo "Hello, World!"', path='hello.sh'
),
'observations': [
FileWriteObservation(
content='echo "Hello, World!"', path='hello.sh'
)
],
},
{
'action': FileReadAction(path='hello.sh'),
'observations': [
FileReadObservation('echo "Hello, World!"\n', path='hello.sh')
],
},
{
'action': CmdRunAction(command='bash hello.sh'),
'observations': [
CmdOutputObservation(
'bash: hello.sh: No such file or directory',
command_id=-1,
command='bash workspace/hello.sh',
exit_code=127,
)
],
},
{
'action': BrowseURLAction(url='https://google.com'),
'observations': [
# BrowserOutputObservation('<html><body>Simulated Google page</body></html>',url='https://google.com',screenshot=''),
],
},
{
'action': BrowseInteractiveAction(
browser_actions='goto("https://google.com")'
),
'observations': [
# BrowserOutputObservation('<html><body>Simulated Google page after interaction</body></html>',url='https://google.com',screenshot=''),
],
},
{
'action': AgentRejectAction(),
'observations': [NullObservation('')],
},
{
'action': AgentFinishAction(
outputs={}, thought='Task completed', action='finish'
),
'observations': [AgentStateChangedObservation('', AgentState.FINISHED)],
},
]
def step(self, state: State) -> Action:
if state.iteration >= len(self.steps):
return AgentFinishAction()
current_step = self.steps[state.iteration]
action = current_step['action']
# If the action is AddTaskAction or ModifyTaskAction, update the parent ID or task_id
if isinstance(action, AddTaskAction):
if action.parent == 'None':
action.parent = '' # Root task has no parent
elif action.parent == '0':
action.parent = state.root_task.id
elif action.parent.startswith('0.'):
action.parent = f'{state.root_task.id}{action.parent[1:]}'
elif isinstance(action, ModifyTaskAction):
if action.task_id == '0':
action.task_id = state.root_task.id
elif action.task_id.startswith('0.'):
action.task_id = f'{state.root_task.id}{action.task_id[1:]}'
# Ensure the task_id doesn't start with a dot
if action.task_id.startswith('.'):
action.task_id = action.task_id[1:]
elif isinstance(action, (BrowseURLAction, BrowseInteractiveAction)):
try:
return self.simulate_browser_action(action)
except (
Exception
): # This could be a specific exception for browser unavailability
return self.handle_browser_unavailable(action)
if state.iteration > 0:
prev_step = self.steps[state.iteration - 1]
if 'observations' in prev_step and prev_step['observations']:
expected_observations = prev_step['observations']
hist_events = state.history[-len(expected_observations) :]
if len(hist_events) < len(expected_observations):
print(
f'Warning: Expected {len(expected_observations)} observations, but got {len(hist_events)}'
)
for i in range(min(len(expected_observations), len(hist_events))):
hist_obs = event_to_dict(hist_events[i])
expected_obs = event_to_dict(expected_observations[i])
# Remove dynamic fields for comparison
for obs in [hist_obs, expected_obs]:
obs.pop('id', None)
obs.pop('timestamp', None)
obs.pop('cause', None)
obs.pop('source', None)
if 'extras' in obs:
obs['extras'].pop('command_id', None)
if hist_obs != expected_obs:
print(
f'Warning: Observation mismatch. Expected {expected_obs}, got {hist_obs}'
)
return action
def simulate_browser_action(
self, action: Union[BrowseURLAction, BrowseInteractiveAction]
) -> Action:
# Instead of simulating, we'll reject the browser action
return self.handle_browser_unavailable(action)
def handle_browser_unavailable(
self, action: Union[BrowseURLAction, BrowseInteractiveAction]
) -> Action:
# Create a message action to inform that browsing is not available
message = 'Browser actions are not available in the DummyAgent environment.'
if isinstance(action, BrowseURLAction):
message += f' Unable to browse URL: {action.url}'
elif isinstance(action, BrowseInteractiveAction):
message += (
f' Unable to perform interactive browsing: {action.browser_actions}'
)
return MessageAction(content=message)
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from jinja2 import BaseLoader, Environment
from openhands.agenthub.micro.instructions import instructions
from openhands.agenthub.micro.registry import all_microagents
from openhands.controller.agent import Agent
from openhands.controller.state.state import State
from openhands.core.config import AgentConfig
from openhands.core.message import ImageContent, Message, TextContent
from openhands.core.utils import json
from openhands.events.action import Action
from openhands.events.event import Event
from openhands.events.serialization.action import action_from_dict
from openhands.events.serialization.event import event_to_memory
from openhands.llm.llm import LLM
def parse_response(orig_response: str) -> Action:
# attempt to load the JSON dict from the response
action_dict = json.loads(orig_response)
# load the action from the dict
return action_from_dict(action_dict)
def to_json(obj, **kwargs):
"""Serialize an object to str format"""
return json.dumps(obj, **kwargs)
class MicroAgent(Agent):
VERSION = '1.0'
prompt = ''
agent_definition: dict = {}
def history_to_json(self, history: list[Event], max_events: int = 20, **kwargs):
"""
Serialize and simplify history to str format
"""
processed_history = []
event_count = 0
for event in reversed(history):
if event_count >= max_events:
break
processed_history.append(
event_to_memory(event, self.llm.config.max_message_chars)
)
event_count += 1
# history is in reverse order, let's fix it
processed_history.reverse()
return json.dumps(processed_history, **kwargs)
def __init__(self, llm: LLM, config: AgentConfig):
super().__init__(llm, config)
if 'name' not in self.agent_definition:
raise ValueError('Agent definition must contain a name')
self.prompt_template = Environment(loader=BaseLoader).from_string(self.prompt)
self.delegates = all_microagents.copy()
del self.delegates[self.agent_definition['name']]
def step(self, state: State) -> Action:
last_user_message, last_image_urls = state.get_current_user_intent()
prompt = self.prompt_template.render(
state=state,
instructions=instructions,
to_json=to_json,
history_to_json=self.history_to_json,
delegates=self.delegates,
latest_user_message=last_user_message,
)
content = [TextContent(text=prompt)]
if self.llm.vision_is_active() and last_image_urls:
content.append(ImageContent(image_urls=last_image_urls))
message = Message(role='user', content=content)
resp = self.llm.completion(
messages=self.llm.format_messages_for_llm(message),
)
action_resp = resp['choices'][0]['message']['content']
action = parse_response(action_resp)
return action
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name: CoderAgent
description: Given a particular task, and a detailed description of the codebase, accomplishes the task
inputs:
task: string
summary: string
outputs: {}
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name: CommitWriterAgent
description: "Write a git commit message for files in the git staging area"
inputs: {}
outputs:
answer: string
reason: string
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import os
instructions: dict = {}
base_dir = os.path.dirname(os.path.abspath(__file__)) + '/_instructions'
for root, dirs, files in os.walk(base_dir):
if len(files) == 0:
continue
if root == base_dir:
obj = instructions
else:
rel_base = os.path.relpath(root, base_dir)
keys = rel_base.split('/')
obj = instructions
for key in keys:
if key not in obj:
obj[key] = {}
obj = obj[key]
for file in files:
without_ext = os.path.splitext(file)[0]
with open(os.path.join(root, file), 'r') as f:
obj[without_ext] = f.read()
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name: ManagerAgent
description: Delegates tasks to microagents based on their area of expertise
generates: Action
inputs:
task: string
outputs:
summary: string # if finished
reason: string # if rejected
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name: MathAgent
description: "Solves simple and complex math problems using python"
container: python:3.12.3-bookworm
inputs:
task: string
outputs:
answer: string
examples:
- inputs:
task: "What is 2 + 2?"
outputs:
answer: "4"
- inputs:
task: "What is the area of a circle with radius 7.324 inches?"
output:
answer: "168.518 square inches"
- inputs:
task: "What day of the week is 2099-01-01?"
outputs:
answer: "Saturday"
- inputs:
task: "What is the integral of sin(x^2) evaluated from -1 to 1?"
outputs:
answer: "0.603848"
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name: PostgresAgent
description: Writes and maintains PostgreSQL migrations
inputs:
task: string
outputs: {}
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import os
import yaml
all_microagents = {}
# Get the list of directories and sort them to preserve determinism
dirs = sorted(os.listdir(os.path.dirname(__file__)))
for dir in dirs:
base = os.path.dirname(__file__) + '/' + dir
if os.path.isfile(base):
continue
if dir.startswith('_'):
continue
promptFile = base + '/prompt.md'
agentFile = base + '/agent.yaml'
if not os.path.isfile(promptFile) or not os.path.isfile(agentFile):
raise Exception(f'Missing prompt or agent file in {base}. Please create them.')
with open(promptFile, 'r') as f:
prompt = f.read()
with open(agentFile, 'r') as f:
agent = yaml.safe_load(f)
if 'name' not in agent:
raise Exception(f'Missing name in {agentFile}')
agent['prompt'] = prompt
all_microagents[agent['name']] = agent
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name: RepoExplorerAgent
description: Generates a detailed summary of an existing codebase
inputs: {}
outputs:
summary: string
@@ -0,0 +1,6 @@
name: StudyRepoForTaskAgent
description: Given a particular task, finds and describes all relevant parts of the codebase
inputs:
task: string
outputs:
summary: string
@@ -0,0 +1,6 @@
name: TypoFixerAgent
description: Fixes typos in files in the current working directory
inputs:
task: string
outputs:
summary: string
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name: VerifierAgent
description: Given a particular task, verifies that the task has been completed
inputs:
task: string
outputs:
completed: boolean
summary: string
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from openhands.agenthub.planner_agent.agent import PlannerAgent
from openhands.controller.agent import Agent
Agent.register('PlannerAgent', PlannerAgent)
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from openhands.agenthub.planner_agent.prompt import get_prompt_and_images
from openhands.agenthub.planner_agent.response_parser import PlannerResponseParser
from openhands.controller.agent import Agent
from openhands.controller.state.state import State
from openhands.core.config import AgentConfig
from openhands.core.message import ImageContent, Message, TextContent
from openhands.events.action import Action, AgentFinishAction
from openhands.llm.llm import LLM
class PlannerAgent(Agent):
VERSION = '1.0'
"""
The planner agent utilizes a special prompting strategy to create long term plans for solving problems.
The agent is given its previous action-observation pairs, current task, and hint based on last action taken at every step.
"""
response_parser = PlannerResponseParser()
def __init__(self, llm: LLM, config: AgentConfig):
"""Initialize the Planner Agent with an LLM
Parameters:
- llm (LLM): The llm to be used by this agent
"""
super().__init__(llm, config)
def step(self, state: State) -> Action:
"""Checks to see if current step is completed, returns AgentFinishAction if True.
Otherwise, creates a plan prompt and sends to model for inference, returning the result as the next action.
Parameters:
- state (State): The current state given the previous actions and observations
Returns:
- AgentFinishAction: If the last state was 'completed', 'verified', or 'abandoned'
- Action: The next action to take based on llm response
"""
if state.root_task.state in [
'completed',
'verified',
'abandoned',
]:
return AgentFinishAction()
prompt, image_urls = get_prompt_and_images(
state, self.llm.config.max_message_chars
)
content = [TextContent(text=prompt)]
if self.llm.vision_is_active() and image_urls:
content.append(ImageContent(image_urls=image_urls))
message = Message(role='user', content=content)
resp = self.llm.completion(messages=self.llm.format_messages_for_llm(message))
return self.response_parser.parse(resp)
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from openhands.controller.state.state import State
from openhands.core.logger import openhands_logger as logger
from openhands.core.schema import ActionType
from openhands.core.utils import json
from openhands.events.action import (
Action,
NullAction,
)
from openhands.events.serialization.action import action_from_dict
from openhands.events.serialization.event import event_to_memory
HISTORY_SIZE = 20
prompt = """
# Task
You're a diligent software engineer AI. You can't see, draw, or interact with a
browser, but you can read and write files, and you can run commands, and you can think.
You've been given the following task:
%(task)s
## Plan
As you complete this task, you're building a plan and keeping
track of your progress. Here's a JSON representation of your plan:
%(plan)s
%(plan_status)s
You're responsible for managing this plan and the status of tasks in
it, by using the `add_task` and `modify_task` actions described below.
If the History below contradicts the state of any of these tasks, you
MUST modify the task using the `modify_task` action described below.
Be sure NOT to duplicate any tasks. Do NOT use the `add_task` action for
a task that's already represented. Every task must be represented only once.
Tasks that are sequential MUST be siblings. They must be added in order
to their parent task.
If you mark a task as 'completed', 'verified', or 'abandoned',
all non-abandoned subtasks will be marked the same way.
So before closing a task this way, you MUST not only be sure that it has
been completed successfully--you must ALSO be sure that all its subtasks
are ready to be marked the same way.
If, and only if, ALL tasks have already been marked verified,
you MUST respond with the `finish` action.
## History
Here is a recent history of actions you've taken in service of this plan,
as well as observations you've made. This only includes the MOST RECENT
ten actions--more happened before that.
%(history)s
Your most recent action is at the bottom of that history.
## Action
What is your next thought or action? Your response must be in JSON format.
It must be an object, and it must contain two fields:
* `action`, which is one of the actions below
* `args`, which is a map of key-value pairs, specifying the arguments for that action
* `read` - reads the content of a file. Arguments:
* `path` - the path of the file to read
* `write` - writes the content to a file. Arguments:
* `path` - the path of the file to write
* `content` - the content to write to the file
* `run` - runs a command on the command line in a Linux shell. Arguments:
* `command` - the command to run
* `browse` - opens a web page. Arguments:
* `url` - the URL to open
* `message` - make a plan, set a goal, record your thoughts, or ask for more input from the user. Arguments:
* `content` - the message to record
* `wait_for_response` - set to `true` to wait for the user to respond before proceeding
* `add_task` - add a task to your plan. Arguments:
* `parent` - the ID of the parent task (leave empty if it should go at the top level)
* `goal` - the goal of the task
* `subtasks` - a list of subtasks, each of which is a map with a `goal` key.
* `modify_task` - close a task. Arguments:
* `task_id` - the ID of the task to close
* `state` - set to 'in_progress' to start the task, 'completed' to finish it, 'verified' to assert that it was successful, 'abandoned' to give up on it permanently, or `open` to stop working on it for now.
* `finish` - if ALL of your tasks and subtasks have been verified or abandoned, and you're absolutely certain that you've completed your task and have tested your work, use the finish action to stop working.
You MUST take time to think in between read, write, run, and browse actions--do this with the `message` action.
You should never act twice in a row without thinking. But if your last several
actions are all `message` actions, you should consider taking a different action.
What is your next thought or action? Again, you must reply with JSON, and only with JSON.
%(hint)s
"""
def get_hint(latest_action_id: str) -> str:
"""Returns action type hint based on given action_id"""
hints = {
'': "You haven't taken any actions yet. Start by using `ls` to check out what files you're working with.",
ActionType.RUN: 'You should think about the command you just ran, what output it gave, and how that affects your plan.',
ActionType.READ: 'You should think about the file you just read, what you learned from it, and how that affects your plan.',
ActionType.WRITE: 'You just changed a file. You should think about how it affects your plan.',
ActionType.BROWSE: 'You should think about the page you just visited, and what you learned from it.',
ActionType.MESSAGE: "Look at your last thought in the history above. What does it suggest? Don't think anymore--take action.",
ActionType.ADD_TASK: 'You should think about the next action to take.',
ActionType.MODIFY_TASK: 'You should think about the next action to take.',
ActionType.SUMMARIZE: '',
ActionType.FINISH: '',
}
return hints.get(latest_action_id, '')
def get_prompt_and_images(
state: State, max_message_chars: int
) -> tuple[str, list[str] | None]:
"""Gets the prompt for the planner agent.
Formatted with the most recent action-observation pairs, current task, and hint based on last action
Parameters:
- state (State): The state of the current agent
Returns:
- str: The formatted string prompt with historical values
"""
# the plan
plan_str = json.dumps(state.root_task.to_dict(), indent=2)
# the history
history_dicts = []
latest_action: Action = NullAction()
# retrieve the latest HISTORY_SIZE events
for event_count, event in enumerate(reversed(state.history)):
if event_count >= HISTORY_SIZE:
break
if latest_action == NullAction() and isinstance(event, Action):
latest_action = event
history_dicts.append(event_to_memory(event, max_message_chars))
# history_dicts is in reverse order, lets fix it
history_dicts.reverse()
# and get it as a JSON string
history_str = json.dumps(history_dicts, indent=2)
# the plan status
current_task = state.root_task.get_current_task()
if current_task is not None:
plan_status = f"You're currently working on this task:\n{current_task.goal}."
if len(current_task.subtasks) == 0:
plan_status += "\nIf it's not achievable AND verifiable with a SINGLE action, you MUST break it down into subtasks NOW."
else:
plan_status = "You're not currently working on any tasks. Your next action MUST be to mark a task as in_progress."
# the hint, based on the last action
hint = get_hint(event_to_memory(latest_action, max_message_chars).get('action', ''))
logger.debug('HINT:\n' + hint, extra={'msg_type': 'DETAIL'})
# the last relevant user message (the task)
message, image_urls = state.get_current_user_intent()
# finally, fill in the prompt
return prompt % {
'task': message,
'plan': plan_str,
'history': history_str,
'hint': hint,
'plan_status': plan_status,
}, image_urls
def parse_response(response: str) -> Action:
"""Parses the model output to find a valid action to take
Parameters:
- response (str): A response from the model that potentially contains an Action.
Returns:
- Action: A valid next action to perform from model output
"""
action_dict = json.loads(response)
if 'contents' in action_dict:
# The LLM gets confused here. Might as well be robust
action_dict['content'] = action_dict.pop('contents')
action = action_from_dict(action_dict)
return action
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from openhands.controller.action_parser import ResponseParser
from openhands.core.utils import json
from openhands.events.action import (
Action,
)
from openhands.events.serialization.action import action_from_dict
class PlannerResponseParser(ResponseParser):
def __init__(self):
super().__init__()
def parse(self, response: str) -> Action:
action_str = self.parse_response(response)
return self.parse_action(action_str)
def parse_response(self, response) -> str:
# get the next action from the response
return response['choices'][0]['message']['content']
def parse_action(self, action_str: str) -> Action:
"""Parses a string to find an action within it
Parameters:
- response (str): The string to be parsed
Returns:
- Action: The action that was found in the response string
"""
# attempt to load the JSON dict from the response
action_dict = json.loads(action_str)
if 'content' in action_dict:
# The LLM gets confused here. Might as well be robust
action_dict['contents'] = action_dict.pop('content')
return action_from_dict(action_dict)
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@@ -1,4 +0,0 @@
#!/usr/bin/env bash
set -e
poetry build -v
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@@ -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.')
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###################### OpenHands Configuration Example ######################
#
# All settings have default values, so you only need to uncomment and
# modify what you want to change
# The fields within each section are sorted in alphabetical order.
#
##############################################################################
#################################### Core ####################################
# General core configurations
##############################################################################
[core]
# API keys and configuration for core services
# Base path for the workspace
#workspace_base = "./workspace"
# Cache directory path
#cache_dir = "/tmp/cache"
# Debugging enabled
#debug = false
# Disable color in terminal output
#disable_color = false
# Path to store trajectories, can be a folder or a file
# If it's a folder, the session id will be used as the file name
#save_trajectory_path="./trajectories"
# Whether to save screenshots in the trajectory
# The screenshots are encoded and can make trajectory json files very large
#save_screenshots_in_trajectory = false
# Path to replay a trajectory, must be a file path
# If provided, trajectory will be loaded and replayed before the
# agent responds to any user instruction
#replay_trajectory_path = ""
# File store path
#file_store_path = "/tmp/file_store"
# File store type
#file_store = "memory"
# 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
# Maximum number of iterations
#max_iterations = 500
# Path to mount the workspace in the sandbox
#workspace_mount_path_in_sandbox = "/workspace"
# Path to mount the workspace
#workspace_mount_path = ""
# Path to rewrite the workspace mount path to
#workspace_mount_rewrite = ""
# Run as openhands
#run_as_openhands = true
# Runtime environment
#runtime = "docker"
# Name of the default agent
#default_agent = "CodeActAgent"
# JWT secret for authentication
#jwt_secret = ""
# Restrict file types for file uploads
#file_uploads_restrict_file_types = false
# List of allowed file extensions for uploads
#file_uploads_allowed_extensions = [".*"]
# Whether to enable the default LLM summarizing condenser when no condenser is specified in config
# When true, a LLMSummarizingCondenserConfig will be used as the default condenser
# When false, a NoOpCondenserConfig (no summarization) will be used
#enable_default_condenser = true
# Maximum number of concurrent conversations per user
#max_concurrent_conversations = 3
# Maximum age of conversations in seconds before they are automatically closed
#conversation_max_age_seconds = 864000 # 10 days
#################################### LLM #####################################
# Configuration for LLM models (group name starts with 'llm')
# use 'llm' for the default LLM config
##############################################################################
[llm]
# AWS access key ID
#aws_access_key_id = ""
# AWS region name
#aws_region_name = ""
# AWS secret access key
#aws_secret_access_key = ""
# API key to use (For Headless / CLI only - In Web this is overridden by Session Init)
api_key = ""
# API base URL (For Headless / CLI only - In Web this is overridden by Session Init)
#base_url = ""
# 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
# Cost per output token
#output_cost_per_token = 0.0
# Custom LLM provider
#custom_llm_provider = ""
# Maximum number of characters in an observation's content
#max_message_chars = 10000
# Maximum number of input tokens
#max_input_tokens = 0
# Maximum number of output tokens
#max_output_tokens = 0
# Model to use. (For Headless / CLI only - In Web this is overridden by Session Init)
model = "gpt-4o"
# Number of retries to attempt when an operation fails with the LLM.
# Increase this value to allow more attempts before giving up
#num_retries = 8
# Maximum wait time (in seconds) between retry attempts
# This caps the exponential backoff to prevent excessively long
#retry_max_wait = 120
# Minimum wait time (in seconds) between retry attempts
# This sets the initial delay before the first retry
#retry_min_wait = 15
# Multiplier for exponential backoff calculation
# The wait time increases by this factor after each failed attempt
# A value of 2.0 means each retry waits twice as long as the previous one
#retry_multiplier = 2.0
# Drop any unmapped (unsupported) params without causing an exception
#drop_params = false
# Modify params for litellm to do transformations like adding a default message, when a message is empty.
# Note: this setting is global, unlike drop_params, it cannot be overridden in each call to litellm.
#modify_params = true
# Using the prompt caching feature if provided by the LLM and supported
#caching_prompt = true
# Base URL for the OLLAMA API
#ollama_base_url = ""
# Temperature for the API
#temperature = 0.0
# Timeout for the API
#timeout = 0
# Top p for the API
#top_p = 1.0
# If model is vision capable, this option allows to disable image processing (useful for cost reduction).
#disable_vision = true
# Custom tokenizer to use for token counting
# https://docs.litellm.ai/docs/completion/token_usage
#custom_tokenizer = ""
# Whether to use native tool calling if supported by the model. Can be true, false, or None by default, which chooses the model's default behavior based on the evaluation.
# ATTENTION: Based on evaluation, enabling native function calling may lead to worse results
# in some scenarios. Use with caution and consider testing with your specific use case.
# https://github.com/All-Hands-AI/OpenHands/pull/4711
#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 = ""
model = "gpt-4o"
#################################### Agent ###################################
# Configuration for agents (group name starts with 'agent')
# Use 'agent' for the default agent config
# otherwise, group name must be `agent.<agent_name>` (case-sensitive), e.g.
# agent.CodeActAgent
##############################################################################
[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
enable_llm_editor = false
# Whether the standard editor tool (str_replace_editor) is enabled
# Only has an effect if enable_llm_editor is False
enable_editor = true
# Whether the IPython tool is enabled
enable_jupyter = true
# Whether the command tool is enabled
enable_cmd = true
# Whether the think tool is enabled
enable_think = true
# Whether the finish tool is enabled
enable_finish = true
# LLM config group to use
#llm_config = 'your-llm-config-group'
# Whether to use prompt extension (e.g., microagent, repo/runtime info) at all
#enable_prompt_extensions = true
# List of microagents to disable
#disabled_microagents = []
# Whether history should be truncated to continue the session when hitting LLM context
# length limit
enable_history_truncation = true
# 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
llm_config = 'gpt3'
[agent.CustomAgent]
# Example: use a custom agent from a different package
# This will be automatically be registered as a new agent named "CustomAgent"
classpath = "my_package.my_module.MyCustomAgent"
#################################### Sandbox ###################################
# Configuration for the sandbox
##############################################################################
[sandbox]
# Sandbox timeout in seconds
#timeout = 120
# Sandbox user ID
#user_id = 1000
# Container image to use for the sandbox
#base_container_image = "nikolaik/python-nodejs:python3.12-nodejs22"
# Use host network
#use_host_network = false
# Runtime extra build args
#runtime_extra_build_args = ["--network=host", "--add-host=host.docker.internal:host-gateway"]
# Enable auto linting after editing
#enable_auto_lint = false
# Whether to initialize plugins
#initialize_plugins = true
# Extra dependencies to install in the runtime image
#runtime_extra_deps = ""
# Environment variables to set at the launch of the runtime
#runtime_startup_env_vars = {}
# BrowserGym environment to use for evaluation
#browsergym_eval_env = ""
# Platform to use for building the runtime image (e.g., "linux/amd64")
#platform = ""
# Force rebuild of runtime image even if it exists
#force_rebuild_runtime = false
# Runtime container image to use (if not provided, will be built from base_container_image)
#runtime_container_image = ""
# Keep runtime alive after session ends
#keep_runtime_alive = false
# Pause closed runtimes instead of stopping them
#pause_closed_runtimes = false
# Delay in seconds before closing idle runtimes
#close_delay = 300
# Remove all containers when stopping the runtime
#rm_all_containers = false
# 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 = {}
# Specific port to use for VSCode. If not set, a random port will be chosen.
# Useful when deploying OpenHands in a remote machine where you need to expose a specific port.
#vscode_port = 41234
# Volume mounts in the format 'host_path:container_path[:mode]'
# e.g. '/my/host/dir:/workspace:rw'
# Multiple mounts can be specified using commas
# e.g. '/path1:/workspace/path1,/path2:/workspace/path2:ro'
# Configure volumes under the [sandbox] section:
# [sandbox]
# volumes = "/my/host/dir:/workspace:rw,/path2:/workspace/path2:ro"
#################################### Security ###################################
# Configuration for security features
##############################################################################
[security]
# Enable confirmation mode (For Headless / CLI only - In Web this is overridden by Session Init)
# When using command_approval analyzer, this should be enabled
confirmation_mode = true
# The security analyzer to use (For Headless / CLI only - In Web this is overridden by Session Init)
# Available options: "invariant", "command_approval"
# For CLI with confirmation mode, "command_approval" is recommended
security_analyzer = "command_approval"
# Whether to enable security analyzer
# When using command_approval analyzer, this should be enabled
enable_security_analyzer = true
# Dictionary of approved commands that don't require confirmation
# The key is the command, and the value is a boolean (true to approve)
#approved_commands = { "ls -la" = true, "git status" = true }
# List of approved command patterns (regex) that don't require confirmation
#approved_command_patterns = [
# { pattern = "^ls( -[a-zA-Z]+)?( \\S+)?$", description = "List directory contents" },
# { pattern = "^cd \\S+$", description = "Change directory" },
# { pattern = "^git (status|log|diff)$", description = "Basic git commands" }
#]
#################################### Condenser #################################
# Condensers control how conversation history is managed and compressed when
# the context grows too large. Each agent uses one condenser configuration.
##############################################################################
[condenser]
# The type of condenser to use. Available options:
# - "noop": No condensing, keeps full history (default)
# - "observation_masking": Keeps full event structure but masks older observations
# - "recent": Keeps only recent events and discards older ones
# - "llm": Uses an LLM to summarize conversation history
# - "amortized": Intelligently forgets older events while preserving important context
# - "llm_attention": Uses an LLM to prioritize most relevant context
type = "noop"
# Examples for each condenser type (uncomment and modify as needed):
# 1. NoOp Condenser - No additional settings needed
#type = "noop"
# 2. Observation Masking Condenser
#type = "observation_masking"
# Number of most-recent events where observations will not be masked
#attention_window = 100
# 3. Recent Events Condenser
#type = "recent"
# Number of initial events to always keep (typically includes task description)
#keep_first = 1
# Maximum number of events to keep in history
#max_events = 100
# 4. LLM Summarizing Condenser
#type = "llm"
# Reference to an LLM config to use for summarization
#llm_config = "condenser"
# Number of initial events to always keep (typically includes task description)
#keep_first = 1
# Maximum size of history before triggering summarization
#max_size = 100
# 5. Amortized Forgetting Condenser
#type = "amortized"
# Number of initial events to always keep (typically includes task description)
#keep_first = 1
# Maximum size of history before triggering forgetting
#max_size = 100
# 6. LLM Attention Condenser
#type = "llm_attention"
# Reference to an LLM config to use for attention scoring
#llm_config = "condenser"
# Number of initial events to always keep (typically includes task description)
#keep_first = 1
# Maximum size of history before triggering attention mechanism
#max_size = 100
# Example of a custom LLM configuration for condensers that require an LLM
# If not provided, it falls back to the default LLM
#[llm.condenser]
#model = "gpt-4o"
#temperature = 0.1
#max_input_tokens = 1024
#################################### Eval ####################################
# Configuration for the evaluation, please refer to the specific evaluation
# plugin for the available options
##############################################################################
########################### Kubernetes #######################################
# Kubernetes configuration when using the Kubernetes runtime
##############################################################################
[kubernetes]
# The Kubernetes namespace to use for OpenHands resources
#namespace = "default"
# Domain for ingress resources
#ingress_domain = "localhost"
# Size of the persistent volume claim
#pvc_storage_size = "2Gi"
# Storage class for persistent volume claims
#pvc_storage_class = "standard"
# CPU request for runtime pods
#resource_cpu_request = "1"
# Memory request for runtime pods
#resource_memory_request = "1Gi"
# Memory limit for runtime pods
#resource_memory_limit = "2Gi"
# Optional name of image pull secret for private registries
#image_pull_secret = ""
# Optional name of TLS secret for ingress
#ingress_tls_secret = ""
# Optional node selector key for pod scheduling
#node_selector_key = ""
# Optional node selector value for pod scheduling
#node_selector_val = ""
# Optional YAML string defining pod tolerations
#tolerations_yaml = ""
# Run the runtime sandbox container in privileged mode for use with docker-in-docker
#privileged = false
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# Docker Containers
Each folder here contains a Dockerfile, and a config.sh describing how to build
the images and where to push them. These images are built and pushed in GitHub Actions
by the `ghcr.yml` workflow.
## Building Manually
```bash
docker build -f containers/app/Dockerfile -t openhands .
docker build -f containers/sandbox/Dockerfile -t sandbox .
```
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@@ -1,95 +0,0 @@
ARG OPENHANDS_BUILD_VERSION=dev
FROM node:24.3.0-bookworm-slim AS frontend-builder
WORKDIR /app
COPY frontend/package.json frontend/package-lock.json ./
RUN npm ci
COPY frontend ./
RUN npm run build
FROM python:3.12.10-slim AS base
FROM base AS backend-builder
WORKDIR /app
ENV PYTHONPATH='/app'
ENV POETRY_NO_INTERACTION=1 \
POETRY_VIRTUALENVS_IN_PROJECT=1 \
POETRY_VIRTUALENVS_CREATE=1 \
POETRY_CACHE_DIR=/tmp/poetry_cache
RUN apt-get update -y \
&& apt-get install -y curl make git build-essential \
&& python3 -m pip install poetry --break-system-packages
COPY pyproject.toml poetry.lock ./
RUN touch README.md
RUN export POETRY_CACHE_DIR && poetry install --no-root && rm -rf $POETRY_CACHE_DIR
FROM base AS openhands-app
WORKDIR /app
# re-declare for this section
ARG OPENHANDS_BUILD_VERSION
ENV RUN_AS_OPENHANDS=true
# A random number--we need this to be different from the user's UID on the host machine
ENV OPENHANDS_USER_ID=42420
ENV SANDBOX_LOCAL_RUNTIME_URL=http://host.docker.internal
ENV USE_HOST_NETWORK=false
ENV WORKSPACE_BASE=/opt/workspace_base
ENV OPENHANDS_BUILD_VERSION=$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
RUN apt-get update -y \
&& apt-get install -y curl ssh sudo \
&& rm -rf /var/lib/apt/lists/*
# Default is 1000, but OSX is often 501
RUN sed -i 's/^UID_MIN.*/UID_MIN 499/' /etc/login.defs
# Default is 60000, but we've seen up to 200000
RUN sed -i 's/^UID_MAX.*/UID_MAX 1000000/' /etc/login.defs
RUN groupadd --gid $OPENHANDS_USER_ID app
RUN useradd -l -m -u $OPENHANDS_USER_ID --gid $OPENHANDS_USER_ID -s /bin/bash openhands && \
usermod -aG app openhands && \
usermod -aG sudo openhands && \
echo '%sudo ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers
RUN chown -R openhands:app /app && chmod -R 770 /app
RUN sudo chown -R openhands:app $WORKSPACE_BASE && sudo chmod -R 770 $WORKSPACE_BASE
USER openhands
ENV VIRTUAL_ENV=/app/.venv \
PATH="/app/.venv/bin:$PATH" \
PYTHONPATH='/app'
COPY --chown=openhands:app --chmod=770 --from=backend-builder ${VIRTUAL_ENV} ${VIRTUAL_ENV}
COPY --chown=openhands:app --chmod=770 ./microagents ./microagents
COPY --chown=openhands:app --chmod=770 ./openhands ./openhands
COPY --chown=openhands:app --chmod=777 ./openhands/runtime/plugins ./openhands/runtime/plugins
COPY --chown=openhands:app pyproject.toml poetry.lock README.md MANIFEST.in LICENSE ./
# This is run as "openhands" user, and will create __pycache__ with openhands:openhands ownership
RUN python openhands/core/download.py # No-op to download assets
# Add this line to set group ownership of all files/directories not already in "app" group
# openhands:openhands -> openhands:app
RUN find /app \! -group app -exec chgrp app {} +
COPY --chown=openhands:app --chmod=770 --from=frontend-builder /app/build ./frontend/build
COPY --chown=openhands:app --chmod=770 ./containers/app/entrypoint.sh /app/entrypoint.sh
USER root
WORKDIR /app
ENTRYPOINT ["/app/entrypoint.sh"]
CMD ["uvicorn", "openhands.server.listen:app", "--host", "0.0.0.0", "--port", "3000"]
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@@ -1,4 +0,0 @@
DOCKER_REGISTRY=ghcr.io
DOCKER_ORG=all-hands-ai
DOCKER_IMAGE=openhands
DOCKER_BASE_DIR="."
-73
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@@ -1,73 +0,0 @@
#!/bin/bash
set -eo pipefail
echo "Starting OpenHands..."
if [[ $NO_SETUP == "true" ]]; then
echo "Skipping setup, running as $(whoami)"
"$@"
exit 0
fi
if [ "$(id -u)" -ne 0 ]; then
echo "The OpenHands entrypoint.sh must run as root"
exit 1
fi
if [ -z "$SANDBOX_USER_ID" ]; then
echo "SANDBOX_USER_ID is not set"
exit 1
fi
if [ -z "$WORKSPACE_MOUNT_PATH" ]; then
# This is set to /opt/workspace in the Dockerfile. But if the user isn't mounting, we want to unset it so that OpenHands doesn't mount at all
unset WORKSPACE_BASE
fi
if [[ "$INSTALL_THIRD_PARTY_RUNTIMES" == "true" ]]; then
echo "Downloading and installing third_party_runtimes..."
echo "Warning: Third-party runtimes are provided as-is, not actively supported and may be removed in future releases."
if pip install 'openhands-ai[third_party_runtimes]' -qqq 2> >(tee /dev/stderr); then
echo "third_party_runtimes installed successfully."
else
echo "Failed to install third_party_runtimes." >&2
exit 1
fi
fi
if [[ "$SANDBOX_USER_ID" -eq 0 ]]; then
echo "Running OpenHands as root"
export RUN_AS_OPENHANDS=false
"$@"
else
echo "Setting up enduser with id $SANDBOX_USER_ID"
if id "enduser" &>/dev/null; then
echo "User enduser already exists. Skipping creation."
else
if ! useradd -l -m -u $SANDBOX_USER_ID -s /bin/bash enduser; then
echo "Failed to create user enduser with id $SANDBOX_USER_ID. Moving openhands user."
incremented_id=$(($SANDBOX_USER_ID + 1))
usermod -u $incremented_id openhands
if ! useradd -l -m -u $SANDBOX_USER_ID -s /bin/bash enduser; then
echo "Failed to create user enduser with id $SANDBOX_USER_ID for a second time. Exiting."
exit 1
fi
fi
fi
usermod -aG app enduser
# get the user group of /var/run/docker.sock and set openhands to that group
DOCKER_SOCKET_GID=$(stat -c '%g' /var/run/docker.sock)
echo "Docker socket group id: $DOCKER_SOCKET_GID"
if getent group $DOCKER_SOCKET_GID; then
echo "Group with id $DOCKER_SOCKET_GID already exists"
else
echo "Creating group with id $DOCKER_SOCKET_GID"
groupadd -g $DOCKER_SOCKET_GID docker
fi
mkdir -p /home/enduser/.cache/huggingface/hub/
usermod -aG $DOCKER_SOCKET_GID enduser
echo "Running as enduser"
su enduser /bin/bash -c "${*@Q}" # This magically runs any arguments passed to the script as a command
fi
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#!/usr/bin/env bash
set -eo pipefail
# Initialize variables with default values
image_name=""
org_name=""
push=0
load=0
tag_suffix=""
dry_run=0
# Function to display usage information
usage() {
echo "Usage: $0 -i <image_name> [-o <org_name>] [--push] [--load] [-t <tag_suffix>] [--dry]"
echo " -i: Image name (required)"
echo " -o: Organization name"
echo " --push: Push the image"
echo " --load: Load the image"
echo " -t: Tag suffix"
echo " --dry: Don't build, only create build-args.json"
exit 1
}
# Parse command-line options
while [[ $# -gt 0 ]]; do
case $1 in
-i) image_name="$2"; shift 2 ;;
-o) org_name="$2"; shift 2 ;;
--push) push=1; shift ;;
--load) load=1; shift ;;
-t) tag_suffix="$2"; shift 2 ;;
--dry) dry_run=1; shift ;;
*) usage ;;
esac
done
# Check if required arguments are provided
if [[ -z "$image_name" ]]; then
echo "Error: Image name is required."
usage
fi
echo "Building: $image_name"
tags=()
OPENHANDS_BUILD_VERSION="dev"
cache_tag_base="buildcache"
cache_tag="$cache_tag_base"
if [[ -n $RELEVANT_SHA ]]; then
git_hash=$(git rev-parse --short "$RELEVANT_SHA")
tags+=("$git_hash")
tags+=("$RELEVANT_SHA")
fi
if [[ -n $GITHUB_REF_NAME ]]; then
# check if ref name is a version number
if [[ $GITHUB_REF_NAME =~ ^[0-9]+\.[0-9]+\.[0-9]+$ ]]; then
major_version=$(echo "$GITHUB_REF_NAME" | cut -d. -f1)
minor_version=$(echo "$GITHUB_REF_NAME" | cut -d. -f1,2)
tags+=("$major_version" "$minor_version")
tags+=("latest")
fi
sanitized_ref_name=$(echo "$GITHUB_REF_NAME" | sed 's/[^a-zA-Z0-9.-]\+/-/g')
OPENHANDS_BUILD_VERSION=$sanitized_ref_name
sanitized_ref_name=$(echo "$sanitized_ref_name" | tr '[:upper:]' '[:lower:]') # lower case is required in tagging
tags+=("$sanitized_ref_name")
cache_tag+="-${sanitized_ref_name}"
fi
if [[ -n $tag_suffix ]]; then
cache_tag+="-${tag_suffix}"
for i in "${!tags[@]}"; do
tags[$i]="${tags[$i]}-$tag_suffix"
done
fi
echo "Tags: ${tags[@]}"
if [[ "$image_name" == "openhands" ]]; then
dir="./containers/app"
elif [[ "$image_name" == "runtime" ]]; then
dir="./containers/runtime"
else
dir="./containers/$image_name"
fi
if [[ (! -f "$dir/Dockerfile") && "$image_name" != "runtime" ]]; then
# Allow runtime to be built without a Dockerfile
echo "No Dockerfile found"
exit 1
fi
if [[ ! -f "$dir/config.sh" ]]; then
echo "No config.sh found for Dockerfile"
exit 1
fi
source "$dir/config.sh"
if [[ -n "$org_name" ]]; then
DOCKER_ORG="$org_name"
fi
# If $DOCKER_IMAGE_SOURCE_TAG is set, add it to the tags
if [[ -n "$DOCKER_IMAGE_SOURCE_TAG" ]]; then
tags+=("$DOCKER_IMAGE_SOURCE_TAG")
fi
# If $DOCKER_IMAGE_TAG is set, add it to the tags
if [[ -n "$DOCKER_IMAGE_TAG" ]]; then
tags+=("$DOCKER_IMAGE_TAG")
fi
DOCKER_REPOSITORY="$DOCKER_REGISTRY/$DOCKER_ORG/$DOCKER_IMAGE"
DOCKER_REPOSITORY=${DOCKER_REPOSITORY,,} # lowercase
echo "Repo: $DOCKER_REPOSITORY"
echo "Base dir: $DOCKER_BASE_DIR"
args=""
full_tags=()
for tag in "${tags[@]}"; do
args+=" -t $DOCKER_REPOSITORY:$tag"
full_tags+=("$DOCKER_REPOSITORY:$tag")
done
if [[ $push -eq 1 ]]; then
args+=" --push"
args+=" --cache-to=type=registry,ref=$DOCKER_REPOSITORY:$cache_tag,mode=max"
fi
if [[ $load -eq 1 ]]; then
args+=" --load"
fi
echo "Args: $args"
# Modify the platform selection based on --load flag
if [[ $load -eq 1 ]]; then
# When loading, build only for the current platform
platform=$(docker version -f '{{.Server.Os}}/{{.Server.Arch}}')
else
# For push or without load, build for multiple platforms
platform="linux/amd64,linux/arm64"
fi
if [[ $dry_run -eq 1 ]]; then
echo "Dry Run is enabled. Writing build config to docker-build-dry.json"
jq -n \
--argjson tags "$(printf '%s\n' "${full_tags[@]}" | jq -R . | jq -s .)" \
--arg platform "$platform" \
--arg openhands_build_version "$OPENHANDS_BUILD_VERSION" \
--arg dockerfile "$dir/Dockerfile" \
'{
tags: $tags,
platform: $platform,
build_args: [
"OPENHANDS_BUILD_VERSION=" + $openhands_build_version
],
dockerfile: $dockerfile
}' > docker-build-dry.json
exit 0
fi
echo "Building for platform(s): $platform"
docker buildx build \
$args \
--build-arg OPENHANDS_BUILD_VERSION="$OPENHANDS_BUILD_VERSION" \
--cache-from=type=registry,ref=$DOCKER_REPOSITORY:$cache_tag \
--cache-from=type=registry,ref=$DOCKER_REPOSITORY:$cache_tag_base-main \
--platform $platform \
--provenance=false \
-f "$dir/Dockerfile" \
"$DOCKER_BASE_DIR"
# If load was requested, print the loaded images
if [[ $load -eq 1 ]]; then
echo "Local images built:"
docker images "$DOCKER_REPOSITORY" --format "{{.Repository}}:{{.Tag}}"
fi
-124
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@@ -1,124 +0,0 @@
# syntax=docker/dockerfile:1
###
FROM ubuntu:22.04 AS dind
# https://docs.docker.com/engine/install/ubuntu/
RUN apt-get update && apt-get install -y \
ca-certificates \
curl \
&& install -m 0755 -d /etc/apt/keyrings \
&& curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc \
&& chmod a+r /etc/apt/keyrings/docker.asc \
&& echo \
"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
$(. /etc/os-release && echo "$VERSION_CODENAME") stable" | tee /etc/apt/sources.list.d/docker.list > /dev/null
RUN apt-get update && apt-get install -y \
docker-ce \
docker-ce-cli \
containerd.io \
docker-buildx-plugin \
docker-compose-plugin \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean \
&& apt-get autoremove -y
###
FROM dind AS openhands
ENV DEBIAN_FRONTEND=noninteractive
#
RUN apt-get update && apt-get install -y \
bash \
build-essential \
curl \
git \
git-lfs \
software-properties-common \
make \
netcat \
sudo \
wget \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean \
&& apt-get autoremove -y
# https://github.com/cli/cli/blob/trunk/docs/install_linux.md
RUN curl -fsSL https://cli.github.com/packages/githubcli-archive-keyring.gpg | dd of=/usr/share/keyrings/githubcli-archive-keyring.gpg \
&& chmod go+r /usr/share/keyrings/githubcli-archive-keyring.gpg \
&& echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/githubcli-archive-keyring.gpg] https://cli.github.com/packages stable main" | tee /etc/apt/sources.list.d/github-cli.list > /dev/null \
&& apt-get update && apt-get -y install \
gh \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean \
&& apt-get autoremove -y
# Python 3.12
RUN add-apt-repository ppa:deadsnakes/ppa \
&& apt-get update \
&& apt-get install -y python3.12 python3.12-venv python3.12-dev python3-pip \
&& ln -s /usr/bin/python3.12 /usr/bin/python
# NodeJS >= 22.x
RUN curl -fsSL https://deb.nodesource.com/setup_22.x | bash - \
&& apt-get install -y nodejs
# Poetry >= 1.8
RUN curl -fsSL https://install.python-poetry.org | python3.12 - \
&& ln -s ~/.local/bin/poetry /usr/local/bin/poetry
#
RUN <<EOF
#!/bin/bash
printf "#!/bin/bash
set +x
uname -a
docker --version
gh --version | head -n 1
git --version
#
python --version
echo node `node --version`
echo npm `npm --version`
poetry --version
netcat -h 2>&1 | head -n 1
" > /version.sh
chmod a+x /version.sh
EOF
###
FROM openhands AS dev
RUN apt-get update && apt-get install -y \
dnsutils \
file \
iproute2 \
jq \
lsof \
ripgrep \
silversearcher-ag \
vim \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean \
&& apt-get autoremove -y
WORKDIR /app
# cache build dependencies
RUN \
--mount=type=bind,source=./,target=/app/,rw \
<<EOF
#!/bin/bash
make -s clean
make -s check-dependencies
make -s install-python-dependencies
# NOTE
# node_modules are .dockerignore-d therefore not mountable
# make -s install-frontend-dependencies
EOF
#
CMD ["bash"]
-57
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@@ -1,57 +0,0 @@
# Develop in Docker
> [!WARNING]
> This is not officially supported and may not work.
Install [Docker](https://docs.docker.com/engine/install/) on your host machine and run:
```bash
make docker-dev
# same as:
cd ./containers/dev
./dev.sh
```
It could take some time if you are running for the first time as Docker will pull all the tools required for building OpenHands. The next time you run again, it should be instant.
## Build and run
If everything goes well, you should be inside a container after Docker finishes building the `openhands:dev` image similar to the following:
```bash
Build and run in Docker ...
root@93fc0005fcd2:/app#
```
You may now proceed with the normal [build and run](../../Development.md) workflow as if you were on the host.
## Make changes
The source code on the host is mounted as `/app` inside docker. You may edit the files as usual either inside the Docker container or on your host with your favorite IDE/editors.
The following are also mapped as readonly from your host:
```yaml
# host credentials
- $HOME/.git-credentials:/root/.git-credentials:ro
- $HOME/.gitconfig:/root/.gitconfig:ro
- $HOME/.npmrc:/root/.npmrc:ro
```
## VSCode
Alternatively, if you use VSCode, you could also [attach to the running container](https://code.visualstudio.com/docs/devcontainers/attach-container).
See details for [developing in docker](https://code.visualstudio.com/docs/devcontainers/containers) or simply ask `OpenHands` ;-)
## Rebuild dev image
You could optionally pass additional options to the build script.
```bash
make docker-dev OPTIONS="--build"
# or
./containers/dev/dev.sh --build
```
See [docker compose run](https://docs.docker.com/reference/cli/docker/compose/run/) for more options.
-39
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@@ -1,39 +0,0 @@
#
services:
dev:
privileged: true
build:
context: ${OPENHANDS_WORKSPACE:-../../}
dockerfile: ./containers/dev/Dockerfile
image: openhands:dev
container_name: openhands-dev
environment:
- BACKEND_HOST=${BACKEND_HOST:-"0.0.0.0"}
- SANDBOX_API_HOSTNAME=host.docker.internal
- DOCKER_HOST_ADDR=host.docker.internal
#
- SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-ghcr.io/all-hands-ai/runtime:0.51-nikolaik}
- SANDBOX_USER_ID=${SANDBOX_USER_ID:-1234}
- WORKSPACE_MOUNT_PATH=${WORKSPACE_BASE:-$PWD/workspace}
ports:
- "3000:3000"
extra_hosts:
- "host.docker.internal:host-gateway"
volumes:
- /var/run/docker.sock:/var/run/docker.sock
- ${WORKSPACE_BASE:-$PWD/workspace}:/opt/workspace_base
# source code
- ${OPENHANDS_WORKSPACE:-../../}:/app
# host credentials
- $HOME/.git-credentials:/root/.git-credentials:ro
- $HOME/.gitconfig:/root/.gitconfig:ro
- $HOME/.npmrc:/root/.npmrc:ro
# cache
- cache-data:/root/.cache
pull_policy: never
stdin_open: true
tty: true
##
volumes:
cache-data:
-39
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@@ -1,39 +0,0 @@
#!/usr/bin/env bash
set -o pipefail
function get_docker() {
echo "Docker is required to build and run OpenHands."
echo "https://docs.docker.com/get-started/get-docker/"
exit 1
}
function check_tools() {
command -v docker &>/dev/null || get_docker
}
function exit_if_indocker() {
if [ -f /.dockerenv ]; then
echo "Running inside a Docker container. Exiting..."
exit 1
fi
}
#
exit_if_indocker
check_tools
##
OPENHANDS_WORKSPACE=$(git rev-parse --show-toplevel)
cd "$OPENHANDS_WORKSPACE/containers/dev/" || exit 1
##
export BACKEND_HOST="0.0.0.0"
#
export SANDBOX_USER_ID=$(id -u)
export WORKSPACE_BASE=${WORKSPACE_BASE:-$OPENHANDS_WORKSPACE/workspace}
docker compose run --rm --service-ports "$@" dev
##
-12
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@@ -1,12 +0,0 @@
# Dynamically constructed Dockerfile
This folder builds a runtime image (sandbox), which will use a dynamically generated `Dockerfile`
that depends on the `base_image` **AND** a [Python source distribution](https://docs.python.org/3.10/distutils/sourcedist.html) that is based on the current commit of `openhands`.
The following command will generate a `Dockerfile` file for `nikolaik/python-nodejs:python3.12-nodejs22` (the default base image), an updated `config.sh` and the runtime source distribution files/folders into `containers/runtime`:
```bash
poetry run python3 openhands/runtime/utils/runtime_build.py \
--base_image nikolaik/python-nodejs:python3.12-nodejs22 \
--build_folder containers/runtime
```
-7
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@@ -1,7 +0,0 @@
DOCKER_REGISTRY=ghcr.io
DOCKER_ORG=all-hands-ai
DOCKER_BASE_DIR="./containers/runtime"
DOCKER_IMAGE=runtime
# These variables will be appended by the runtime_build.py script
# DOCKER_IMAGE_TAG=
# DOCKER_IMAGE_SOURCE_TAG=
@@ -1,5 +1,4 @@
from abc import ABC, abstractmethod
from typing import Any
from openhands.events.action import Action
@@ -10,7 +9,7 @@ class ActionParseError(Exception):
def __init__(self, error: str):
self.error = error
def __str__(self) -> str:
def __str__(self):
return self.error
@@ -21,16 +20,16 @@ class ResponseParser(ABC):
def __init__(
self,
) -> None:
):
# Need pay attention to the item order in self.action_parsers
self.action_parsers: list[ActionParser] = []
self.action_parsers = []
@abstractmethod
def parse(self, response: Any) -> Action:
def parse(self, response: str) -> Action:
"""Parses the action from the response from the LLM.
Parameters:
- response: The response from the LLM, which can be a string or a dictionary.
- response (str): The response from the LLM.
Returns:
- action (Action): The action parsed from the response.
@@ -38,11 +37,11 @@ class ResponseParser(ABC):
pass
@abstractmethod
def parse_response(self, response: Any) -> str:
def parse_response(self, response) -> str:
"""Parses the action from the response from the LLM.
Parameters:
- response: The response from the LLM, which can be a string or a dictionary.
- response (str): The response from the LLM.
Returns:
- action_str (str): The action str parsed from the response.
+111
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@@ -0,0 +1,111 @@
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Type
if TYPE_CHECKING:
from openhands.controller.state.state import State
from openhands.core.config import AgentConfig
from openhands.events.action import Action
from openhands.core.exceptions import (
AgentAlreadyRegisteredError,
AgentNotRegisteredError,
)
from openhands.llm.llm import LLM
from openhands.runtime.plugins import PluginRequirement
from openhands.utils.prompt import PromptManager
class Agent(ABC):
DEPRECATED = False
"""
This abstract base class is an general interface for an agent dedicated to
executing a specific instruction and allowing human interaction with the
agent during execution.
It tracks the execution status and maintains a history of interactions.
"""
_registry: dict[str, Type['Agent']] = {}
sandbox_plugins: list[PluginRequirement] = []
def __init__(
self,
llm: LLM,
config: 'AgentConfig',
):
self.llm = llm
self.config = config
self._complete = False
self.prompt_manager: PromptManager | None = None
@property
def complete(self) -> bool:
"""Indicates whether the current instruction execution is complete.
Returns:
- complete (bool): True if execution is complete; False otherwise.
"""
return self._complete
@abstractmethod
def step(self, state: 'State') -> 'Action':
"""Starts the execution of the assigned instruction. This method should
be implemented by subclasses to define the specific execution logic.
"""
pass
def reset(self) -> None:
"""Resets the agent's execution status and clears the history. This method can be used
to prepare the agent for restarting the instruction or cleaning up before destruction.
"""
# TODO clear history
self._complete = False
if self.llm:
self.llm.reset()
@property
def name(self):
return self.__class__.__name__
@classmethod
def register(cls, name: str, agent_cls: Type['Agent']):
"""Registers an agent class in the registry.
Parameters:
- name (str): The name to register the class under.
- agent_cls (Type['Agent']): The class to register.
Raises:
- AgentAlreadyRegisteredError: If name already registered
"""
if name in cls._registry:
raise AgentAlreadyRegisteredError(name)
cls._registry[name] = agent_cls
@classmethod
def get_cls(cls, name: str) -> Type['Agent']:
"""Retrieves an agent class from the registry.
Parameters:
- name (str): The name of the class to retrieve
Returns:
- agent_cls (Type['Agent']): The class registered under the specified name.
Raises:
- AgentNotRegisteredError: If name not registered
"""
if name not in cls._registry:
raise AgentNotRegisteredError(name)
return cls._registry[name]
@classmethod
def list_agents(cls) -> list[str]:
"""Retrieves the list of all agent names from the registry.
Raises:
- AgentNotRegisteredError: If no agent is registered
"""
if not bool(cls._registry):
raise AgentNotRegisteredError()
return list(cls._registry.keys())
+955
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@@ -0,0 +1,955 @@
import asyncio
import copy
import os
import traceback
from typing import Callable, ClassVar, Type
import litellm
from litellm.exceptions import BadRequestError, ContextWindowExceededError
from openhands.controller.agent import Agent
from openhands.controller.state.state import State, TrafficControlState
from openhands.controller.stuck import StuckDetector
from openhands.core.config import AgentConfig, LLMConfig
from openhands.core.exceptions import (
FunctionCallNotExistsError,
FunctionCallValidationError,
LLMMalformedActionError,
LLMNoActionError,
LLMResponseError,
)
from openhands.core.logger import LOG_ALL_EVENTS
from openhands.core.logger import openhands_logger as logger
from openhands.core.schema import AgentState
from openhands.events import EventSource, EventStream, EventStreamSubscriber
from openhands.events.action import (
Action,
ActionConfirmationStatus,
AddTaskAction,
AgentDelegateAction,
AgentFinishAction,
AgentRejectAction,
ChangeAgentStateAction,
CmdRunAction,
IPythonRunCellAction,
MessageAction,
ModifyTaskAction,
NullAction,
)
from openhands.events.event import Event
from openhands.events.observation import (
AgentDelegateObservation,
AgentStateChangedObservation,
ErrorObservation,
NullObservation,
Observation,
)
from openhands.events.serialization.event import truncate_content
from openhands.llm.llm import LLM
from openhands.utils.shutdown_listener import should_continue
# note: RESUME is only available on web GUI
TRAFFIC_CONTROL_REMINDER = (
"Please click on resume button if you'd like to continue, or start a new task."
)
class AgentController:
id: str
agent: Agent
max_iterations: int
event_stream: EventStream
state: State
confirmation_mode: bool
agent_to_llm_config: dict[str, LLMConfig]
agent_configs: dict[str, AgentConfig]
agent_task: asyncio.Future | None = None
parent: 'AgentController | None' = None
delegate: 'AgentController | None' = None
_pending_action: Action | None = None
_closed: bool = False
filter_out: ClassVar[tuple[type[Event], ...]] = (
NullAction,
NullObservation,
ChangeAgentStateAction,
AgentStateChangedObservation,
)
def __init__(
self,
agent: Agent,
event_stream: EventStream,
max_iterations: int,
max_budget_per_task: float | None = None,
agent_to_llm_config: dict[str, LLMConfig] | None = None,
agent_configs: dict[str, AgentConfig] | None = None,
sid: str = 'default',
confirmation_mode: bool = False,
initial_state: State | None = None,
is_delegate: bool = False,
headless_mode: bool = True,
status_callback: Callable | None = None,
):
"""Initializes a new instance of the AgentController class.
Args:
agent: The agent instance to control.
event_stream: The event stream to publish events to.
max_iterations: The maximum number of iterations the agent can run.
max_budget_per_task: The maximum budget (in USD) allowed per task, beyond which the agent will stop.
agent_to_llm_config: A dictionary mapping agent names to LLM configurations in the case that
we delegate to a different agent.
agent_configs: A dictionary mapping agent names to agent configurations in the case that
we delegate to a different agent.
sid: The session ID of the agent.
confirmation_mode: Whether to enable confirmation mode for agent actions.
initial_state: The initial state of the controller.
is_delegate: Whether this controller is a delegate.
headless_mode: Whether the agent is run in headless mode.
status_callback: Optional callback function to handle status updates.
"""
self._step_lock = asyncio.Lock()
self.id = sid
self.agent = agent
self.headless_mode = headless_mode
# subscribe to the event stream
self.event_stream = event_stream
self.event_stream.subscribe(
EventStreamSubscriber.AGENT_CONTROLLER, self.on_event, self.id
)
# state from the previous session, state from a parent agent, or a fresh state
self.set_initial_state(
state=initial_state,
max_iterations=max_iterations,
confirmation_mode=confirmation_mode,
)
self.max_budget_per_task = max_budget_per_task
self.agent_to_llm_config = agent_to_llm_config if agent_to_llm_config else {}
self.agent_configs = agent_configs if agent_configs else {}
self._initial_max_iterations = max_iterations
self._initial_max_budget_per_task = max_budget_per_task
# stuck helper
self._stuck_detector = StuckDetector(self.state)
self.status_callback = status_callback
async def close(self) -> None:
"""Closes the agent controller, canceling any ongoing tasks and unsubscribing from the event stream.
Note that it's fairly important that this closes properly, otherwise the state is incomplete.
"""
await self.set_agent_state_to(AgentState.STOPPED)
# we made history, now is the time to rewrite it!
# the final state.history will be used by external scripts like evals, tests, etc.
# history will need to be complete WITH delegates events
# like the regular agent history, it does not include:
# - 'hidden' events, events with hidden=True
# - backend events (the default 'filtered out' types, types in self.filter_out)
start_id = self.state.start_id if self.state.start_id >= 0 else 0
end_id = (
self.state.end_id
if self.state.end_id >= 0
else self.event_stream.get_latest_event_id()
)
self.state.history = list(
self.event_stream.get_events(
start_id=start_id,
end_id=end_id,
reverse=False,
filter_out_type=self.filter_out,
filter_hidden=True,
)
)
# unsubscribe from the event stream
self.event_stream.unsubscribe(EventStreamSubscriber.AGENT_CONTROLLER, self.id)
self._closed = True
def log(self, level: str, message: str, extra: dict | None = None) -> None:
"""Logs a message to the agent controller's logger.
Args:
level (str): The logging level to use (e.g., 'info', 'debug', 'error').
message (str): The message to log.
extra (dict | None, optional): Additional fields to include in the log. Defaults to None.
"""
message = f'[Agent Controller {self.id}] {message}'
getattr(logger, level)(message, extra=extra, stacklevel=2)
def update_state_before_step(self):
self.state.iteration += 1
self.state.local_iteration += 1
async def update_state_after_step(self):
# update metrics especially for cost. Use deepcopy to avoid it being modified by agent._reset()
self.state.local_metrics = copy.deepcopy(self.agent.llm.metrics)
async def _react_to_exception(
self,
e: Exception,
):
await self.set_agent_state_to(AgentState.ERROR)
if self.status_callback is not None:
err_id = ''
if isinstance(e, litellm.AuthenticationError):
err_id = 'STATUS$ERROR_LLM_AUTHENTICATION'
self.status_callback('error', err_id, str(e))
async def start_step_loop(self):
"""The main loop for the agent's step-by-step execution."""
self.log('info', 'Starting step loop...')
while True:
if not self._is_awaiting_observation() and not should_continue():
break
if self._closed:
break
try:
await self._step()
except asyncio.CancelledError:
self.log('debug', 'AgentController task was cancelled')
break
except Exception as e:
traceback.print_exc()
self.log('error', f'Error while running the agent: {e}')
await self._react_to_exception(e)
await asyncio.sleep(0.1)
async def on_event(self, event: Event) -> None:
"""Callback from the event stream. Notifies the controller of incoming events.
Args:
event (Event): The incoming event to process.
"""
if hasattr(event, 'hidden') and event.hidden:
return
# if the event is not filtered out, add it to the history
if not any(isinstance(event, filter_type) for filter_type in self.filter_out):
self.state.history.append(event)
if isinstance(event, Action):
await self._handle_action(event)
elif isinstance(event, Observation):
await self._handle_observation(event)
async def _handle_action(self, action: Action) -> None:
"""Handles actions from the event stream.
Args:
action (Action): The action to handle.
"""
if isinstance(action, ChangeAgentStateAction):
await self.set_agent_state_to(action.agent_state) # type: ignore
elif isinstance(action, MessageAction):
await self._handle_message_action(action)
elif isinstance(action, AgentDelegateAction):
await self.start_delegate(action)
elif isinstance(action, AddTaskAction):
self.state.root_task.add_subtask(
action.parent, action.goal, action.subtasks
)
elif isinstance(action, ModifyTaskAction):
self.state.root_task.set_subtask_state(action.task_id, action.state)
elif isinstance(action, AgentFinishAction):
self.state.outputs = action.outputs
self.state.metrics.merge(self.state.local_metrics)
await self.set_agent_state_to(AgentState.FINISHED)
elif isinstance(action, AgentRejectAction):
self.state.outputs = action.outputs
self.state.metrics.merge(self.state.local_metrics)
await self.set_agent_state_to(AgentState.REJECTED)
async def _handle_observation(self, observation: Observation) -> None:
"""Handles observation from the event stream.
Args:
observation (observation): The observation to handle.
"""
observation_to_print = copy.deepcopy(observation)
if len(observation_to_print.content) > self.agent.llm.config.max_message_chars:
observation_to_print.content = truncate_content(
observation_to_print.content, self.agent.llm.config.max_message_chars
)
# Use info level if LOG_ALL_EVENTS is set
log_level = 'info' if os.getenv('LOG_ALL_EVENTS') in ('true', '1') else 'debug'
self.log(
log_level, str(observation_to_print), extra={'msg_type': 'OBSERVATION'}
)
if observation.llm_metrics is not None:
self.agent.llm.metrics.merge(observation.llm_metrics)
if self._pending_action and self._pending_action.id == observation.cause:
if self.state.agent_state == AgentState.AWAITING_USER_CONFIRMATION:
return
self._pending_action = None
if self.state.agent_state == AgentState.USER_CONFIRMED:
await self.set_agent_state_to(AgentState.RUNNING)
if self.state.agent_state == AgentState.USER_REJECTED:
await self.set_agent_state_to(AgentState.AWAITING_USER_INPUT)
return
elif isinstance(observation, ErrorObservation):
if self.state.agent_state == AgentState.ERROR:
self.state.metrics.merge(self.state.local_metrics)
async def _handle_message_action(self, action: MessageAction) -> None:
"""Handles message actions from the event stream.
Args:
action (MessageAction): The message action to handle.
"""
if action.source == EventSource.USER:
# Use info level if LOG_ALL_EVENTS is set
log_level = (
'info' if os.getenv('LOG_ALL_EVENTS') in ('true', '1') else 'debug'
)
self.log(
log_level,
str(action),
extra={'msg_type': 'ACTION', 'event_source': EventSource.USER},
)
# Extend max iterations when the user sends a message (only in non-headless mode)
if self._initial_max_iterations is not None and not self.headless_mode:
self.state.max_iterations = (
self.state.iteration + self._initial_max_iterations
)
if (
self.state.traffic_control_state == TrafficControlState.THROTTLING
or self.state.traffic_control_state == TrafficControlState.PAUSED
):
self.state.traffic_control_state = TrafficControlState.NORMAL
self.log(
'debug',
f'Extended max iterations to {self.state.max_iterations} after user message',
)
if self.get_agent_state() != AgentState.RUNNING:
await self.set_agent_state_to(AgentState.RUNNING)
elif action.source == EventSource.AGENT and action.wait_for_response:
await self.set_agent_state_to(AgentState.AWAITING_USER_INPUT)
def _reset(self) -> None:
"""Resets the agent controller"""
self._pending_action = None
self.agent.reset()
async def set_agent_state_to(self, new_state: AgentState) -> None:
"""Updates the agent's state and handles side effects. Can emit events to the event stream.
Args:
new_state (AgentState): The new state to set for the agent.
"""
self.log(
'info',
f'Setting agent({self.agent.name}) state from {self.state.agent_state} to {new_state}',
)
if new_state == self.state.agent_state:
return
if new_state in (AgentState.STOPPED, AgentState.ERROR):
self._reset()
elif (
new_state == AgentState.RUNNING
and self.state.agent_state == AgentState.PAUSED
# TODO: do we really need both THROTTLING and PAUSED states, or can we clean up one of them completely?
and self.state.traffic_control_state == TrafficControlState.THROTTLING
):
# user intends to interrupt traffic control and let the task resume temporarily
self.state.traffic_control_state = TrafficControlState.PAUSED
# User has chosen to deliberately continue - lets double the max iterations
if (
self.state.iteration is not None
and self.state.max_iterations is not None
and self._initial_max_iterations is not None
and not self.headless_mode
):
if self.state.iteration >= self.state.max_iterations:
self.state.max_iterations += self._initial_max_iterations
if (
self.state.metrics.accumulated_cost is not None
and self.max_budget_per_task is not None
and self._initial_max_budget_per_task is not None
):
if self.state.metrics.accumulated_cost >= self.max_budget_per_task:
self.max_budget_per_task += self._initial_max_budget_per_task
elif self._pending_action is not None and (
new_state in (AgentState.USER_CONFIRMED, AgentState.USER_REJECTED)
):
if hasattr(self._pending_action, 'thought'):
self._pending_action.thought = '' # type: ignore[union-attr]
if new_state == AgentState.USER_CONFIRMED:
confirmation_state = ActionConfirmationStatus.CONFIRMED
else:
confirmation_state = ActionConfirmationStatus.REJECTED
self._pending_action.confirmation_state = confirmation_state # type: ignore[attr-defined]
self._pending_action._id = None # type: ignore[attr-defined]
self.event_stream.add_event(self._pending_action, EventSource.AGENT)
self.state.agent_state = new_state
self.event_stream.add_event(
AgentStateChangedObservation('', self.state.agent_state),
EventSource.ENVIRONMENT,
)
if new_state == AgentState.INIT and self.state.resume_state:
await self.set_agent_state_to(self.state.resume_state)
self.state.resume_state = None
def get_agent_state(self) -> AgentState:
"""Returns the current state of the agent.
Returns:
AgentState: The current state of the agent.
"""
return self.state.agent_state
async def start_delegate(self, action: AgentDelegateAction) -> None:
"""Start a delegate agent to handle a subtask.
OpenHands is a multi-agentic system. A `task` is a conversation between
OpenHands (the whole system) and the user, which might involve one or more inputs
from the user. It starts with an initial input (typically a task statement) from
the user, and ends with either an `AgentFinishAction` initiated by the agent, a
stop initiated by the user, or an error.
A `subtask` is a conversation between an agent and the user, or another agent. If a `task`
is conducted by a single agent, then it's also a `subtask`. Otherwise, a `task` consists of
multiple `subtasks`, each executed by one agent.
Args:
action (AgentDelegateAction): The action containing information about the delegate agent to start.
"""
agent_cls: Type[Agent] = Agent.get_cls(action.agent)
agent_config = self.agent_configs.get(action.agent, self.agent.config)
llm_config = self.agent_to_llm_config.get(action.agent, self.agent.llm.config)
llm = LLM(config=llm_config)
delegate_agent = agent_cls(llm=llm, config=agent_config)
state = State(
inputs=action.inputs or {},
local_iteration=0,
iteration=self.state.iteration,
max_iterations=self.state.max_iterations,
delegate_level=self.state.delegate_level + 1,
# global metrics should be shared between parent and child
metrics=self.state.metrics,
# start on top of the stream
start_id=self.event_stream.get_latest_event_id() + 1,
)
self.log(
'debug',
f'start delegate, creating agent {delegate_agent.name} using LLM {llm}',
)
self.event_stream.unsubscribe(EventStreamSubscriber.AGENT_CONTROLLER, self.id)
self.delegate = AgentController(
sid=self.id + '-delegate',
agent=delegate_agent,
event_stream=self.event_stream,
max_iterations=self.state.max_iterations,
max_budget_per_task=self.max_budget_per_task,
agent_to_llm_config=self.agent_to_llm_config,
agent_configs=self.agent_configs,
initial_state=state,
is_delegate=True,
headless_mode=self.headless_mode,
)
await self.delegate.set_agent_state_to(AgentState.RUNNING)
async def _step(self) -> None:
"""Executes a single step of the parent or delegate agent. Detects stuck agents and limits on the number of iterations and the task budget."""
if self.get_agent_state() != AgentState.RUNNING:
await asyncio.sleep(1)
return
if self._pending_action:
await asyncio.sleep(1)
return
if self.delegate is not None:
assert self.delegate != self
if self.delegate.get_agent_state() == AgentState.PAUSED:
# no need to check too often
await asyncio.sleep(1)
else:
await self._delegate_step()
return
self.log(
'info',
f'LEVEL {self.state.delegate_level} LOCAL STEP {self.state.local_iteration} GLOBAL STEP {self.state.iteration}',
extra={'msg_type': 'STEP'},
)
# check if agent hit the resources limit
stop_step = False
if self.state.iteration >= self.state.max_iterations:
stop_step = await self._handle_traffic_control(
'iteration', self.state.iteration, self.state.max_iterations
)
if self.max_budget_per_task is not None:
current_cost = self.state.metrics.accumulated_cost
if current_cost > self.max_budget_per_task:
stop_step = await self._handle_traffic_control(
'budget', current_cost, self.max_budget_per_task
)
if stop_step:
return
if self._is_stuck():
await self._react_to_exception(RuntimeError('Agent got stuck in a loop'))
return
self.update_state_before_step()
action: Action = NullAction()
try:
action = self.agent.step(self.state)
if action is None:
raise LLMNoActionError('No action was returned')
except (
LLMMalformedActionError,
LLMNoActionError,
LLMResponseError,
FunctionCallValidationError,
FunctionCallNotExistsError,
) as e:
self.event_stream.add_event(
ErrorObservation(
content=str(e),
),
EventSource.AGENT,
)
return
except (ContextWindowExceededError, BadRequestError) as e:
# FIXME: this is a hack until a litellm fix is confirmed
# Check if this is a nested context window error
error_str = str(e).lower()
if (
'contextwindowexceedederror' in error_str
or 'prompt is too long' in error_str
or isinstance(e, ContextWindowExceededError)
):
# When context window is exceeded, keep roughly half of agent interactions
self.state.history = self._apply_conversation_window(self.state.history)
# Save the ID of the first event in our truncated history for future reloading
if self.state.history:
self.state.start_id = self.state.history[0].id
# Don't add error event - let the agent retry with reduced context
return
raise
if action.runnable:
if self.state.confirmation_mode and (
type(action) is CmdRunAction or type(action) is IPythonRunCellAction
):
action.confirmation_state = (
ActionConfirmationStatus.AWAITING_CONFIRMATION
)
self._pending_action = action
if not isinstance(action, NullAction):
if (
hasattr(action, 'confirmation_state')
and action.confirmation_state
== ActionConfirmationStatus.AWAITING_CONFIRMATION
):
await self.set_agent_state_to(AgentState.AWAITING_USER_CONFIRMATION)
self.event_stream.add_event(action, EventSource.AGENT)
await self.update_state_after_step()
log_level = 'info' if LOG_ALL_EVENTS else 'debug'
self.log(log_level, str(action), extra={'msg_type': 'ACTION'})
async def _delegate_step(self) -> None:
"""Executes a single step of the delegate agent."""
await self.delegate._step() # type: ignore[union-attr]
assert self.delegate is not None
delegate_state = self.delegate.get_agent_state()
self.log('debug', f'Delegate state: {delegate_state}')
if delegate_state == AgentState.ERROR:
# update iteration that shall be shared across agents
self.state.iteration = self.delegate.state.iteration
# emit AgentDelegateObservation to mark delegate termination due to error
delegate_outputs = (
self.delegate.state.outputs if self.delegate.state else {}
)
content = (
f'{self.delegate.agent.name} encountered an error during execution.'
)
obs = AgentDelegateObservation(outputs=delegate_outputs, content=content)
self.event_stream.add_event(obs, EventSource.AGENT)
# close the delegate upon error
await self.delegate.close()
# resubscribe parent when delegate is finished
self.event_stream.subscribe(
EventStreamSubscriber.AGENT_CONTROLLER, self.on_event, self.id
)
self.delegate = None
self.delegateAction = None
elif delegate_state in (AgentState.FINISHED, AgentState.REJECTED):
self.log('debug', 'Delegate agent has finished execution')
# retrieve delegate result
outputs = self.delegate.state.outputs if self.delegate.state else {}
# update iteration that shall be shared across agents
self.state.iteration = self.delegate.state.iteration
# close delegate controller: we must close the delegate controller before adding new events
await self.delegate.close()
# resubscribe parent when delegate is finished
self.event_stream.subscribe(
EventStreamSubscriber.AGENT_CONTROLLER, self.on_event, self.id
)
# update delegate result observation
# TODO: replace this with AI-generated summary (#2395)
formatted_output = ', '.join(
f'{key}: {value}' for key, value in outputs.items()
)
content = (
f'{self.delegate.agent.name} finishes task with {formatted_output}'
)
obs = AgentDelegateObservation(outputs=outputs, content=content)
# clean up delegate status
self.delegate = None
self.delegateAction = None
self.event_stream.add_event(obs, EventSource.AGENT)
return
async def _handle_traffic_control(
self, limit_type: str, current_value: float, max_value: float
) -> bool:
"""Handles agent state after hitting the traffic control limit.
Args:
limit_type (str): The type of limit that was hit.
current_value (float): The current value of the limit.
max_value (float): The maximum value of the limit.
"""
stop_step = False
if self.state.traffic_control_state == TrafficControlState.PAUSED:
self.log(
'debug', 'Hitting traffic control, temporarily resume upon user request'
)
self.state.traffic_control_state = TrafficControlState.NORMAL
else:
self.state.traffic_control_state = TrafficControlState.THROTTLING
# Format values as integers for iterations, keep decimals for budget
if limit_type == 'iteration':
current_str = str(int(current_value))
max_str = str(int(max_value))
else:
current_str = f'{current_value:.2f}'
max_str = f'{max_value:.2f}'
if self.headless_mode:
e = RuntimeError(
f'Agent reached maximum {limit_type} in headless mode. '
f'Current {limit_type}: {current_str}, max {limit_type}: {max_str}'
)
await self._react_to_exception(e)
else:
e = RuntimeError(
f'Agent reached maximum {limit_type}. '
f'Current {limit_type}: {current_str}, max {limit_type}: {max_str}. '
)
# FIXME: this isn't really an exception--we should have a different path
await self._react_to_exception(e)
stop_step = True
return stop_step
def get_state(self) -> State:
"""Returns the current running state object.
Returns:
State: The current state object.
"""
return self.state
def set_initial_state(
self,
state: State | None,
max_iterations: int,
confirmation_mode: bool = False,
) -> None:
"""Sets the initial state for the agent, either from the previous session, or from a parent agent, or by creating a new one.
Args:
state: The state to initialize with, or None to create a new state.
max_iterations: The maximum number of iterations allowed for the task.
confirmation_mode: Whether to enable confirmation mode.
"""
# state can come from:
# - the previous session, in which case it has history
# - from a parent agent, in which case it has no history
# - None / a new state
if state is None:
self.state = State(
inputs={},
max_iterations=max_iterations,
confirmation_mode=confirmation_mode,
)
else:
self.state = state
if self.state.start_id <= -1:
self.state.start_id = 0
self.log(
'debug',
f'AgentController {self.id} initializing history from event {self.state.start_id}',
)
self._init_history()
def _init_history(self) -> None:
"""Initializes the agent's history from the event stream.
The history is a list of events that:
- Excludes events of types listed in self.filter_out
- Excludes events with hidden=True attribute
- For delegate events (between AgentDelegateAction and AgentDelegateObservation):
- Excludes all events between the action and observation
- Includes the delegate action and observation themselves
The history is loaded in two parts if truncation_id is set:
1. First user message from start_id onwards
2. Rest of history from truncation_id to the end
Otherwise loads normally from start_id.
"""
# define range of events to fetch
# delegates start with a start_id and initially won't find any events
# otherwise we're restoring a previous session
start_id = self.state.start_id if self.state.start_id >= 0 else 0
end_id = (
self.state.end_id
if self.state.end_id >= 0
else self.event_stream.get_latest_event_id()
)
# sanity check
if start_id > end_id + 1:
self.log(
'warning',
f'start_id {start_id} is greater than end_id + 1 ({end_id + 1}). History will be empty.',
)
self.state.history = []
return
events: list[Event] = []
# If we have a truncation point, get first user message and then rest of history
if hasattr(self.state, 'truncation_id') and self.state.truncation_id > 0:
# Find first user message from stream
first_user_msg = next(
(
e
for e in self.event_stream.get_events(
start_id=start_id,
end_id=end_id,
reverse=False,
filter_out_type=self.filter_out,
filter_hidden=True,
)
if isinstance(e, MessageAction) and e.source == EventSource.USER
),
None,
)
if first_user_msg:
events.append(first_user_msg)
# the rest of the events are from the truncation point
start_id = self.state.truncation_id
# Get rest of history
events_to_add = list(
self.event_stream.get_events(
start_id=start_id,
end_id=end_id,
reverse=False,
filter_out_type=self.filter_out,
filter_hidden=True,
)
)
events.extend(events_to_add)
# Find all delegate action/observation pairs
delegate_ranges: list[tuple[int, int]] = []
delegate_action_ids: list[int] = [] # stack of unmatched delegate action IDs
for event in events:
if isinstance(event, AgentDelegateAction):
delegate_action_ids.append(event.id)
# Note: we can get agent=event.agent and task=event.inputs.get('task','')
# if we need to track these in the future
elif isinstance(event, AgentDelegateObservation):
# Match with most recent unmatched delegate action
if not delegate_action_ids:
self.log(
'warning',
f'Found AgentDelegateObservation without matching action at id={event.id}',
)
continue
action_id = delegate_action_ids.pop()
delegate_ranges.append((action_id, event.id))
# Filter out events between delegate action/observation pairs
if delegate_ranges:
filtered_events: list[Event] = []
current_idx = 0
for start_id, end_id in sorted(delegate_ranges):
# Add events before delegate range
filtered_events.extend(
event for event in events[current_idx:] if event.id < start_id
)
# Add delegate action and observation
filtered_events.extend(
event for event in events if event.id in (start_id, end_id)
)
# Update index to after delegate range
current_idx = next(
(i for i, e in enumerate(events) if e.id > end_id), len(events)
)
# Add any remaining events after last delegate range
filtered_events.extend(events[current_idx:])
self.state.history = filtered_events
else:
self.state.history = events
# make sure history is in sync
self.state.start_id = start_id
def _apply_conversation_window(self, events: list[Event]) -> list[Event]:
"""Cuts history roughly in half when context window is exceeded, preserving action-observation pairs
and ensuring the first user message is always included.
The algorithm:
1. Cut history in half
2. Check first event in new history:
- If Observation: find and include its Action
- If MessageAction: ensure its related Action-Observation pair isn't split
3. Always include the first user message
Args:
events: List of events to filter
Returns:
Filtered list of events keeping newest half while preserving pairs
"""
if not events:
return events
# Find first user message - we'll need to ensure it's included
first_user_msg = next(
(
e
for e in events
if isinstance(e, MessageAction) and e.source == EventSource.USER
),
None,
)
# cut in half
mid_point = max(1, len(events) // 2)
kept_events = events[mid_point:]
# Handle first event in truncated history
if kept_events:
i = 0
while i < len(kept_events):
first_event = kept_events[i]
if isinstance(first_event, Observation) and first_event.cause:
# Find its action and include it
matching_action = next(
(
e
for e in reversed(events[:mid_point])
if isinstance(e, Action) and e.id == first_event.cause
),
None,
)
if matching_action:
kept_events = [matching_action] + kept_events
else:
self.log(
'warning',
f'Found Observation without matching Action at id={first_event.id}',
)
# drop this observation
kept_events = kept_events[1:]
break
elif isinstance(first_event, MessageAction) or (
isinstance(first_event, Action)
and first_event.source == EventSource.USER
):
# if it's a message action or a user action, keep it and continue to find the next event
i += 1
continue
else:
# if it's an action with source == EventSource.AGENT, we're good
break
# Save where to continue from in next reload
if kept_events:
self.state.truncation_id = kept_events[0].id
# Ensure first user message is included
if first_user_msg and first_user_msg not in kept_events:
kept_events = [first_user_msg] + kept_events
# start_id points to first user message
if first_user_msg:
self.state.start_id = first_user_msg.id
return kept_events
def _is_stuck(self) -> bool:
"""Checks if the agent or its delegate is stuck in a loop.
Returns:
bool: True if the agent is stuck, False otherwise.
"""
# check if delegate stuck
if self.delegate and self.delegate._is_stuck():
return True
return self._stuck_detector.is_stuck(self.headless_mode)
def __repr__(self):
return (
f'AgentController(id={self.id}, agent={self.agent!r}, '
f'event_stream={self.event_stream!r}, '
f'state={self.state!r}, agent_task={self.agent_task!r}, '
f'delegate={self.delegate!r}, _pending_action={self._pending_action!r})'
)
def _is_awaiting_observation(self):
events = self.event_stream.get_events(reverse=True)
for event in events:
if isinstance(event, AgentStateChangedObservation):
result = event.agent_state == AgentState.RUNNING
return result
return False
+171
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@@ -0,0 +1,171 @@
import base64
import pickle
from dataclasses import dataclass, field
from enum import Enum
from typing import Any
from openhands.controller.state.task import RootTask
from openhands.core.logger import openhands_logger as logger
from openhands.core.schema import AgentState
from openhands.events.action import (
MessageAction,
)
from openhands.events.action.agent import AgentFinishAction
from openhands.events.event import Event, EventSource
from openhands.llm.metrics import Metrics
from openhands.storage.files import FileStore
class TrafficControlState(str, Enum):
# default state, no rate limiting
NORMAL = 'normal'
# task paused due to traffic control
THROTTLING = 'throttling'
# traffic control is temporarily paused
PAUSED = 'paused'
RESUMABLE_STATES = [
AgentState.RUNNING,
AgentState.PAUSED,
AgentState.AWAITING_USER_INPUT,
AgentState.FINISHED,
]
@dataclass
class State:
"""
Represents the running state of an agent in the OpenHands system, saving data of its operation and memory.
- Multi-agent/delegate state:
- store the task (conversation between the agent and the user)
- the subtask (conversation between an agent and the user or another agent)
- global and local iterations
- delegate levels for multi-agent interactions
- almost stuck state
- Running state of an agent:
- current agent state (e.g., LOADING, RUNNING, PAUSED)
- traffic control state for rate limiting
- confirmation mode
- the last error encountered
- Data for saving and restoring the agent:
- save to and restore from a session
- serialize with pickle and base64
- Save / restore data about message history
- start and end IDs for events in agent's history
- summaries and delegate summaries
- Metrics:
- global metrics for the current task
- local metrics for the current subtask
- Extra data:
- additional task-specific data
"""
root_task: RootTask = field(default_factory=RootTask)
# global iteration for the current task
iteration: int = 0
# local iteration for the current subtask
local_iteration: int = 0
# max number of iterations for the current task
max_iterations: int = 100
confirmation_mode: bool = False
history: list[Event] = field(default_factory=list)
inputs: dict = field(default_factory=dict)
outputs: dict = field(default_factory=dict)
agent_state: AgentState = AgentState.LOADING
resume_state: AgentState | None = None
traffic_control_state: TrafficControlState = TrafficControlState.NORMAL
# global metrics for the current task
metrics: Metrics = field(default_factory=Metrics)
# local metrics for the current subtask
local_metrics: Metrics = field(default_factory=Metrics)
# root agent has level 0, and every delegate increases the level by one
delegate_level: int = 0
# start_id and end_id track the range of events in history
start_id: int = -1
end_id: int = -1
# truncation_id tracks where to load history after context window truncation
truncation_id: int = -1
delegates: dict[tuple[int, int], tuple[str, str]] = field(default_factory=dict)
# NOTE: This will never be used by the controller, but it can be used by different
# evaluation tasks to store extra data needed to track the progress/state of the task.
extra_data: dict[str, Any] = field(default_factory=dict)
last_error: str = ''
def save_to_session(self, sid: str, file_store: FileStore):
pickled = pickle.dumps(self)
logger.debug(f'Saving state to session {sid}:{self.agent_state}')
encoded = base64.b64encode(pickled).decode('utf-8')
try:
file_store.write(f'sessions/{sid}/agent_state.pkl', encoded)
except Exception as e:
logger.error(f'Failed to save state to session: {e}')
raise e
@staticmethod
def restore_from_session(sid: str, file_store: FileStore) -> 'State':
try:
encoded = file_store.read(f'sessions/{sid}/agent_state.pkl')
pickled = base64.b64decode(encoded)
state = pickle.loads(pickled)
except Exception as e:
logger.debug(f'Could not restore state from session: {e}')
raise e
# update state
if state.agent_state in RESUMABLE_STATES:
state.resume_state = state.agent_state
else:
state.resume_state = None
# first state after restore
state.agent_state = AgentState.LOADING
return state
def __getstate__(self):
# don't pickle history, it will be restored from the event stream
state = self.__dict__.copy()
state['history'] = []
return state
def __setstate__(self, state):
self.__dict__.update(state)
# make sure we always have the attribute history
if not hasattr(self, 'history'):
self.history = []
def get_current_user_intent(self) -> tuple[str | None, list[str] | None]:
"""Returns the latest user message and image(if provided) that appears after a FinishAction, or the first (the task) if nothing was finished yet."""
last_user_message = None
last_user_message_image_urls: list[str] | None = []
for event in reversed(self.history):
if isinstance(event, MessageAction) and event.source == 'user':
last_user_message = event.content
last_user_message_image_urls = event.image_urls
elif isinstance(event, AgentFinishAction):
if last_user_message is not None:
return last_user_message, None
return last_user_message, last_user_message_image_urls
def get_last_agent_message(self) -> MessageAction | None:
for event in reversed(self.history):
if isinstance(event, MessageAction) and event.source == EventSource.AGENT:
return event
return None
def get_last_user_message(self) -> MessageAction | None:
for event in reversed(self.history):
if isinstance(event, MessageAction) and event.source == EventSource.USER:
return event
return None
+226
View File
@@ -0,0 +1,226 @@
from openhands.core.exceptions import (
LLMMalformedActionError,
TaskInvalidStateError,
)
from openhands.core.logger import openhands_logger as logger
OPEN_STATE = 'open'
COMPLETED_STATE = 'completed'
ABANDONED_STATE = 'abandoned'
IN_PROGRESS_STATE = 'in_progress'
VERIFIED_STATE = 'verified'
STATES = [
OPEN_STATE,
COMPLETED_STATE,
ABANDONED_STATE,
IN_PROGRESS_STATE,
VERIFIED_STATE,
]
class Task:
id: str
goal: str
parent: 'Task | None'
subtasks: list['Task']
def __init__(
self,
parent: 'Task',
goal: str,
state: str = OPEN_STATE,
subtasks=None, # noqa: B006
):
"""Initializes a new instance of the Task class.
Args:
parent: The parent task, or None if it is the root task.
goal: The goal of the task.
state: The initial state of the task.
subtasks: A list of subtasks associated with this task.
"""
if subtasks is None:
subtasks = []
if parent.id:
self.id = parent.id + '.' + str(len(parent.subtasks))
else:
self.id = str(len(parent.subtasks))
self.parent = parent
self.goal = goal
logger.debug(f'Creating task {self.id} with parent={parent.id}, goal={goal}')
self.subtasks = []
for subtask in subtasks or []:
if isinstance(subtask, Task):
self.subtasks.append(subtask)
else:
goal = subtask.get('goal')
state = subtask.get('state')
subtasks = subtask.get('subtasks')
logger.debug(f'Reading: {goal}, {state}, {subtasks}')
self.subtasks.append(Task(self, goal, state, subtasks))
self.state = OPEN_STATE
def to_string(self, indent=''):
"""Returns a string representation of the task and its subtasks.
Args:
indent: The indentation string for formatting the output.
Returns:
A string representation of the task and its subtasks.
"""
emoji = ''
if self.state == VERIFIED_STATE:
emoji = ''
elif self.state == COMPLETED_STATE:
emoji = '🟢'
elif self.state == ABANDONED_STATE:
emoji = ''
elif self.state == IN_PROGRESS_STATE:
emoji = '💪'
elif self.state == OPEN_STATE:
emoji = '🔵'
result = indent + emoji + ' ' + self.id + ' ' + self.goal + '\n'
for subtask in self.subtasks:
result += subtask.to_string(indent + ' ')
return result
def to_dict(self):
"""Returns a dictionary representation of the task.
Returns:
A dictionary containing the task's attributes.
"""
return {
'id': self.id,
'goal': self.goal,
'state': self.state,
'subtasks': [t.to_dict() for t in self.subtasks],
}
def set_state(self, state):
"""Sets the state of the task and its subtasks.
Args: state: The new state of the task.
Raises:
TaskInvalidStateError: If the provided state is invalid.
"""
if state not in STATES:
logger.error('Invalid state: %s', state)
raise TaskInvalidStateError(state)
self.state = state
if (
state == COMPLETED_STATE
or state == ABANDONED_STATE
or state == VERIFIED_STATE
):
for subtask in self.subtasks:
if subtask.state != ABANDONED_STATE:
subtask.set_state(state)
elif state == IN_PROGRESS_STATE:
if self.parent is not None:
self.parent.set_state(state)
def get_current_task(self) -> 'Task | None':
"""Retrieves the current task in progress.
Returns:
The current task in progress, or None if no task is in progress.
"""
for subtask in self.subtasks:
if subtask.state == IN_PROGRESS_STATE:
return subtask.get_current_task()
if self.state == IN_PROGRESS_STATE:
return self
return None
class RootTask(Task):
"""Serves as the root node in a tree of tasks.
Because we want the top-level of the root_task to be a list of tasks (1, 2, 3, etc.),
the "root node" of the data structure is kind of invisible--it just
holds references to the top-level tasks.
Attributes:
id: Kept blank for root_task
goal: Kept blank for root_task
parent: None for root_task
subtasks: The top-level list of tasks associated with the root_task.
state: The state of the root_task.
"""
id: str = ''
goal: str = ''
parent: None = None
def __init__(self):
self.subtasks = []
self.state = OPEN_STATE
def __str__(self):
"""Returns a string representation of the root_task.
Returns:
A string representation of the root_task.
"""
return self.to_string()
def get_task_by_id(self, id: str) -> Task:
"""Retrieves a task by its ID.
Args:
id: The ID of the task.
Returns:
The task with the specified ID.
Raises:
AgentMalformedActionError: If the provided task ID is invalid or does not exist.
"""
if id == '':
return self
if len(self.subtasks) == 0:
raise LLMMalformedActionError('Task does not exist:' + id)
try:
parts = [int(p) for p in id.split('.')]
except ValueError:
raise LLMMalformedActionError('Invalid task id:' + id)
task: Task = self
for part in parts:
if part >= len(task.subtasks):
raise LLMMalformedActionError('Task does not exist:' + id)
task = task.subtasks[part]
return task
def add_subtask(self, parent_id: str, goal: str, subtasks: list | None = None):
"""Adds a subtask to a parent task.
Args:
parent_id: The ID of the parent task.
goal: The goal of the subtask.
subtasks: A list of subtasks associated with the new subtask.
"""
subtasks = subtasks or []
parent = self.get_task_by_id(parent_id)
child = Task(parent=parent, goal=goal, subtasks=subtasks)
parent.subtasks.append(child)
def set_subtask_state(self, id: str, state: str):
"""Sets the state of a subtask.
Args:
id: The ID of the subtask.
state: The new state of the subtask.
"""
task = self.get_task_by_id(id)
logger.debug('Setting task {task.id} from state {task.state} to {state}')
task.set_state(state)
unfinished_tasks = [
t
for t in self.subtasks
if t.state not in [COMPLETED_STATE, VERIFIED_STATE, ABANDONED_STATE]
]
if len(unfinished_tasks) == 0:
self.set_state(COMPLETED_STATE)
@@ -5,11 +5,10 @@ from openhands.events.action.commands import IPythonRunCellAction
from openhands.events.action.empty import NullAction
from openhands.events.action.message import MessageAction
from openhands.events.event import Event, EventSource
from openhands.events.observation import (
from openhands.events.observation.commands import (
CmdOutputObservation,
IPythonRunCellObservation,
)
from openhands.events.observation.agent import AgentCondensationObservation
from openhands.events.observation.empty import NullObservation
from openhands.events.observation.error import ErrorObservation
from openhands.events.observation.observation import Observation
@@ -25,7 +24,7 @@ class StuckDetector:
def __init__(self, state: State):
self.state = state
def is_stuck(self, headless_mode: bool = True) -> bool:
def is_stuck(self, headless_mode: bool = True):
"""Checks if the agent is stuck in a loop.
Args:
@@ -98,20 +97,14 @@ class StuckDetector:
return True
# scenario 4: action, observation pattern on the last six steps
if len(filtered_history) >= 6:
if self._is_stuck_action_observation_pattern(filtered_history):
return True
# scenario 5: context window error loop
if len(filtered_history) >= 10:
if self._is_stuck_context_window_error(filtered_history):
return True
if len(filtered_history) < 6:
return False
if self._is_stuck_action_observation_pattern(filtered_history):
return True
return False
def _is_stuck_repeating_action_observation(
self, last_actions: list[Event], last_observations: list[Event]
) -> bool:
def _is_stuck_repeating_action_observation(self, last_actions, last_observations):
# scenario 1: same action, same observation
# it takes 4 actions and 4 observations to detect a loop
# assert len(last_actions) == 4 and len(last_observations) == 4
@@ -132,14 +125,12 @@ class StuckDetector:
return False
def _is_stuck_repeating_action_error(
self, last_actions: list[Event], last_observations: list[Event]
) -> bool:
def _is_stuck_repeating_action_error(self, last_actions, last_observations):
# scenario 2: same action, errors
# it takes 3 actions and 3 observations to detect a loop
# check if the last three actions are the same and result in errors
if len(last_actions) < 3 or len(last_observations) < 3:
if len(last_actions) < 4 or len(last_observations) < 4:
return False
# are the last three actions the "same"?
@@ -159,12 +150,7 @@ class StuckDetector:
'SyntaxError: unterminated string literal (detected at line'
):
if self._check_for_consistent_line_error(
[
obs
for obs in last_observations[:3]
if isinstance(obs, IPythonRunCellObservation)
],
error_message,
last_observations[:3], error_message
):
logger.warning(warning)
return True
@@ -172,20 +158,13 @@ class StuckDetector:
'SyntaxError: invalid syntax. Perhaps you forgot a comma?',
'SyntaxError: incomplete input',
) and self._check_for_consistent_invalid_syntax(
[
obs
for obs in last_observations[:3]
if isinstance(obs, IPythonRunCellObservation)
],
error_message,
last_observations[:3], error_message
):
logger.warning(warning)
return True
return False
def _check_for_consistent_invalid_syntax(
self, observations: list[IPythonRunCellObservation], error_message: str
) -> bool:
def _check_for_consistent_invalid_syntax(self, observations, error_message):
first_lines = []
valid_observations = []
@@ -226,9 +205,7 @@ class StuckDetector:
== 1
)
def _check_for_consistent_line_error(
self, observations: list[IPythonRunCellObservation], error_message: str
) -> bool:
def _check_for_consistent_line_error(self, observations, error_message):
error_lines = []
for obs in observations:
@@ -255,7 +232,7 @@ class StuckDetector:
# and the 3rd-to-last line is identical across all occurrences
return len(error_lines) == 3 and len(set(error_lines)) == 1
def _is_stuck_monologue(self, filtered_history: list[Event]) -> bool:
def _is_stuck_monologue(self, filtered_history):
# scenario 3: monologue
# check for repeated MessageActions with source=AGENT
# see if the agent is engaged in a good old monologue, telling itself the same thing over and over
@@ -289,9 +266,7 @@ class StuckDetector:
return True
return False
def _is_stuck_action_observation_pattern(
self, filtered_history: list[Event]
) -> bool:
def _is_stuck_action_observation_pattern(self, filtered_history):
# scenario 4: action, observation pattern on the last six steps
# check if the agent repeats the same (Action, Observation)
# every other step in the last six steps
@@ -333,55 +308,7 @@ class StuckDetector:
return True
return False
def _is_stuck_context_window_error(self, filtered_history: list[Event]) -> bool:
"""Detects if we're stuck in a loop of context window errors.
This happens when we repeatedly get context window errors and try to trim,
but the trimming doesn't work, causing us to get more context window errors.
The pattern is repeated AgentCondensationObservation events without any other
events between them.
Args:
filtered_history: List of filtered events to check
Returns:
bool: True if we detect a context window error loop
"""
# Look for AgentCondensationObservation events
condensation_events = [
(i, event)
for i, event in enumerate(filtered_history)
if isinstance(event, AgentCondensationObservation)
]
# Need at least 10 condensation events to detect a loop
if len(condensation_events) < 10:
return False
# Get the last 10 condensation events
last_condensation_events = condensation_events[-10:]
# Check if there are any non-condensation events between them
for i in range(len(last_condensation_events) - 1):
start_idx = last_condensation_events[i][0]
end_idx = last_condensation_events[i + 1][0]
# Look for any non-condensation events between these two
has_other_events = False
for event in filtered_history[start_idx + 1 : end_idx]:
if not isinstance(event, AgentCondensationObservation):
has_other_events = True
break
if not has_other_events:
logger.warning(
'Context window error loop detected - repeated condensation events'
)
return True
return False
def _eq_no_pid(self, obj1: Event, obj2: Event) -> bool:
def _eq_no_pid(self, obj1, obj2):
if isinstance(obj1, IPythonRunCellAction) and isinstance(
obj2, IPythonRunCellAction
):

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