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7 Commits

Author SHA1 Message Date
rohitvinodmalhotra@gmail.com
532a284d5c migrate to use OH version 2025-01-26 15:24:35 -05:00
rohitvinodmalhotra@gmail.com
43f6104967 Merge branch 'main' into eval/visualcodebench 2025-01-26 15:14:28 -05:00
openhands
e249b920ff feat: adapt Design2Code block detection for in-memory evaluation 2024-11-30 19:28:22 +00:00
rohitvinodmalhotra@gmail.com
d920a69f69 adding back server code 2024-11-30 14:00:25 -05:00
openhands
a8ce888981 refactor: adapt Design2Code evaluation metrics 2024-11-30 17:17:05 +00:00
rohitvinodmalhotra@gmail.com
e22ddc0dd6 uncomment agent run 2024-11-26 17:00:07 -05:00
rohitvinodmalhotra@gmail.com
c370912f12 adding eval scripts 2024-11-26 16:57:19 -05:00
799 changed files with 24376 additions and 60812 deletions

View File

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

View File

@@ -10,6 +10,12 @@ updates:
pre-commit:
patterns:
- "pre-commit"
llama:
patterns:
- "llama*"
chromadb:
patterns:
- "chromadb"
browsergym:
patterns:
- "browsergym*"

View File

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

View File

@@ -46,7 +46,7 @@ on:
jobs:
del_runs:
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
permissions:
actions: write
contents: read

View File

@@ -24,20 +24,22 @@ jobs:
build:
if: github.repository == 'All-Hands-AI/OpenHands'
name: Build Docusaurus
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- uses: useblacksmith/setup-node@v5
- uses: actions/setup-node@v4
with:
node-version: 18
cache: npm
cache-dependency-path: docs/package-lock.json
- name: Set up Python
uses: useblacksmith/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Generate Python Docs
run: rm -rf docs/modules/python && pip install pydoc-markdown && pydoc-markdown
- name: Install dependencies
run: cd docs && npm ci
- name: Build website
@@ -52,7 +54,7 @@ jobs:
deploy:
if: github.ref == 'refs/heads/main' && github.repository == 'All-Hands-AI/OpenHands'
name: Deploy to GitHub Pages
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
# This job only runs on "main" so only run one of these jobs at a time
# otherwise it will fail if one is already running
concurrency:

View File

@@ -16,27 +16,37 @@ concurrency:
jobs:
test:
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Free Disk Space (Ubuntu)
uses: jlumbroso/free-disk-space@main
with:
# this might remove tools that are actually needed,
# if set to "true" but frees about 6 GB
tool-cache: true
# all of these default to true, but feel free to set to
# "false" if necessary for your workflow
android: true
dotnet: true
haskell: true
large-packages: true
docker-images: false
swap-storage: true
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- 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
uses: actions/setup-python@v5
with:
python-version: '3.12'
cache: 'poetry'
- name: Install Python dependencies using Poetry
run: poetry install --without evaluation
run: poetry install --without evaluation,llama-index
- name: Build Environment
run: make build
- name: Run tests

139
.github/workflows/eval-runner.yml vendored Normal file
View File

@@ -0,0 +1,139 @@
name: Run SWE-Bench Evaluation
on:
pull_request:
types: [labeled]
workflow_dispatch:
inputs:
reason:
description: "Reason for manual trigger"
required: true
default: ""
env:
N_PROCESSES: 32 # Global configuration for number of parallel processes for evaluation
jobs:
run-evaluation:
if: github.event.label.name == 'eval-this' || github.event_name != 'pull_request'
runs-on: ubuntu-latest
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 tmux
run: sudo apt-get update && sudo apt-get install -y tmux
- 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: Comment on PR if 'eval-this' label is present
if: github.event_name == 'pull_request' && github.event.label.name == 'eval-this'
uses: KeisukeYamashita/create-comment@v1
with:
unique: false
comment: |
Hi! I started running the evaluation on your PR. You will receive a comment with the results shortly.
- name: Install Python dependencies using Poetry
run: poetry install
- name: Configure config.toml for evaluation
env:
DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_LLM_API_KEY }}
run: |
echo "[llm.eval]" > config.toml
echo "model = \"deepseek/deepseek-chat\"" >> config.toml
echo "api_key = \"$DEEPSEEK_API_KEY\"" >> config.toml
echo "temperature = 0.0" >> config.toml
- name: Run SWE-Bench evaluation
env:
ALLHANDS_API_KEY: ${{ secrets.ALLHANDS_EVAL_RUNTIME_API_KEY }}
RUNTIME: remote
SANDBOX_REMOTE_RUNTIME_API_URL: https://runtime.eval.all-hands.dev
EVAL_DOCKER_IMAGE_PREFIX: us-central1-docker.pkg.dev/evaluation-092424/swe-bench-images
run: |
poetry run ./evaluation/benchmarks/swe_bench/scripts/run_infer.sh llm.eval HEAD CodeActAgent 300 30 $N_PROCESSES "princeton-nlp/SWE-bench_Lite" test
OUTPUT_FOLDER=$(find evaluation/evaluation_outputs/outputs/princeton-nlp__SWE-bench_Lite-test/CodeActAgent -name "deepseek-chat_maxiter_50_N_*-no-hint-run_1" -type d | head -n 1)
echo "OUTPUT_FOLDER for SWE-bench evaluation: $OUTPUT_FOLDER"
poetry run ./evaluation/benchmarks/swe_bench/scripts/eval_infer_remote.sh $OUTPUT_FOLDER/output.jsonl $N_PROCESSES "princeton-nlp/SWE-bench_Lite" test
poetry run ./evaluation/benchmarks/swe_bench/scripts/eval/summarize_outputs.py $OUTPUT_FOLDER/output.jsonl > summarize_outputs.log 2>&1
echo "SWEBENCH_REPORT<<EOF" >> $GITHUB_ENV
cat summarize_outputs.log >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
- name: Create tar.gz of evaluation outputs
run: |
TIMESTAMP=$(date +'%y-%m-%d-%H-%M')
tar -czvf evaluation_outputs_${TIMESTAMP}.tar.gz evaluation/evaluation_outputs/outputs
- name: Upload evaluation results as artifact
uses: actions/upload-artifact@v4
id: upload_results_artifact
with:
name: evaluation-outputs
path: evaluation_outputs_*.tar.gz
- name: Get artifact URL
run: echo "ARTIFACT_URL=${{ steps.upload_results_artifact.outputs.artifact-url }}" >> $GITHUB_ENV
- name: Authenticate to Google Cloud
uses: 'google-github-actions/auth@v2'
with:
credentials_json: ${{ secrets.GCP_RESEARCH_OBJECT_CREATOR_SA_KEY }}
- name: Set timestamp and trigger reason
run: |
echo "TIMESTAMP=$(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 }}" == "schedule" ]]; then
echo "TRIGGER_REASON=schedule" >> $GITHUB_ENV
else
echo "TRIGGER_REASON=manual-${{ github.event.inputs.reason }}" >> $GITHUB_ENV
fi
- name: Upload evaluation results to Google Cloud Storage
uses: 'google-github-actions/upload-cloud-storage@v2'
with:
path: 'evaluation/evaluation_outputs/outputs'
destination: 'openhands-oss-eval-results/${{ env.TIMESTAMP }}-${{ env.TRIGGER_REASON }}'
- name: Comment with evaluation results and artifact link
id: create_comment
uses: KeisukeYamashita/create-comment@v1
with:
number: ${{ github.event_name == 'pull_request' && github.event.pull_request.number || 4504 }}
unique: false
comment: |
Trigger by: ${{ github.event_name == 'pull_request' && format('Pull Request (eval-this label on PR #{0})', github.event.pull_request.number) || github.event_name == 'schedule' && 'Daily Schedule' || format('Manual Trigger: {0}', github.event.inputs.reason) }}
Commit: ${{ github.sha }}
**SWE-Bench Evaluation Report**
${{ env.SWEBENCH_REPORT }}
---
You can download the full evaluation outputs [here](${{ env.ARTIFACT_URL }}).
- name: Post to a Slack channel
id: slack
uses: slackapi/slack-github-action@v2.0.0
with:
channel-id: 'C07SVQSCR6F'
slack-message: "*Evaluation Trigger:* ${{ github.event_name == 'pull_request' && format('Pull Request (eval-this label on PR #{0})', github.event.pull_request.number) || github.event_name == 'schedule' && 'Daily Schedule' || format('Manual Trigger: {0}', github.event.inputs.reason) }}\n\nLink to summary: [here](https://github.com/${{ github.repository }}/issues/${{ github.event_name == 'pull_request' && github.event.pull_request.number || 4504 }}#issuecomment-${{ steps.create_comment.outputs.comment-id }})"
env:
SLACK_BOT_TOKEN: ${{ secrets.EVAL_NOTIF_SLACK_BOT_TOKEN }}

View File

@@ -21,7 +21,7 @@ jobs:
# Run frontend unit tests
fe-test:
name: FE Unit Tests
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
strategy:
matrix:
node-version: [20, 22]
@@ -30,7 +30,7 @@ jobs:
- name: Checkout
uses: actions/checkout@v4
- name: Set up Node.js
uses: useblacksmith/setup-node@v5
uses: actions/setup-node@v4
with:
node-version: ${{ matrix.node-version }}
- name: Install dependencies

View File

@@ -32,7 +32,7 @@ jobs:
# Builds the OpenHands Docker images
ghcr_build_app:
name: Build App Image
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
@@ -41,10 +41,22 @@ jobs:
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Free Disk Space (Ubuntu)
uses: jlumbroso/free-disk-space@main
with:
ref: ${{ github.event.pull_request.head.sha }}
# this might remove tools that are actually needed,
# if set to "true" but frees about 6 GB
tool-cache: true
# all of these default to true, but feel free to set to
# "false" if necessary for your workflow
android: true
dotnet: true
haskell: true
large-packages: true
docker-images: false
swap-storage: true
- name: Set up QEMU
uses: docker/setup-qemu-action@v3.6.0
uses: docker/setup-qemu-action@v3.3.0
with:
image: tonistiigi/binfmt:latest
- name: Login to GHCR
@@ -56,22 +68,22 @@ jobs:
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Lowercase Repository Owner
run: |
echo REPO_OWNER=$(echo ${{ github.repository_owner }} | tr '[:upper:]' '[:lower:]') >> $GITHUB_ENV
- name: Build and push app image
if: "!github.event.pull_request.head.repo.fork"
run: |
./containers/build.sh -i openhands -o ${{ env.REPO_OWNER }} --push
./containers/build.sh -i openhands -o ${{ github.repository_owner }} --push
- name: Build app image
if: "github.event.pull_request.head.repo.fork"
run: |
./containers/build.sh -i openhands -o ${{ env.REPO_OWNER }} --load
./containers/build.sh -i openhands -o ${{ github.repository_owner }} --load
- name: Get hash in App Image
id: get_hash_in_app_image
run: |
# Lowercase the repository owner
export REPO_OWNER=${{ github.repository_owner }}
REPO_OWNER=$(echo $REPO_OWNER | tr '[:upper:]' '[:lower:]')
# Run the build script in the app image
docker run -e SANDBOX_USER_ID=0 -v /var/run/docker.sock:/var/run/docker.sock ghcr.io/${{ env.REPO_OWNER }}/openhands:${{ env.RELEVANT_SHA }} /bin/bash -c "mkdir -p containers/runtime; python3 openhands/runtime/utils/runtime_build.py --base_image ${{ env.BASE_IMAGE_FOR_HASH_EQUIVALENCE_TEST }} --build_folder containers/runtime --force_rebuild" 2>&1 | tee docker-outputs.txt
docker run -e SANDBOX_USER_ID=0 -v /var/run/docker.sock:/var/run/docker.sock ghcr.io/${REPO_OWNER}/openhands:${{ env.RELEVANT_SHA }} /bin/bash -c "mkdir -p containers/runtime; python3 openhands/runtime/utils/runtime_build.py --base_image ${{ env.BASE_IMAGE_FOR_HASH_EQUIVALENCE_TEST }} --build_folder containers/runtime --force_rebuild" 2>&1 | tee docker-outputs.txt
# Get the hash from the build script
hash_from_app_image=$(cat docker-outputs.txt | grep "Hash for docker build directory" | awk -F "): " '{print $2}' | uniq | head -n1)
echo "hash_from_app_image=$hash_from_app_image" >> $GITHUB_OUTPUT
@@ -80,7 +92,7 @@ jobs:
# Builds the runtime Docker images
ghcr_build_runtime:
name: Build Image
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
@@ -92,10 +104,22 @@ jobs:
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Free Disk Space (Ubuntu)
uses: jlumbroso/free-disk-space@main
with:
ref: ${{ github.event.pull_request.head.sha }}
# this might remove tools that are actually needed,
# if set to "true" but frees about 6 GB
tool-cache: true
# all of these default to true, but feel free to set to
# "false" if necessary for your workflow
android: true
dotnet: true
haskell: true
large-packages: true
docker-images: false
swap-storage: true
- name: Set up QEMU
uses: docker/setup-qemu-action@v3.6.0
uses: docker/setup-qemu-action@v3.3.0
with:
image: tonistiigi/binfmt:latest
- name: Login to GHCR
@@ -108,11 +132,11 @@ jobs:
id: buildx
uses: docker/setup-buildx-action@v3
- name: Set up Python
uses: useblacksmith/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Cache Poetry dependencies
uses: useblacksmith/cache@v5
uses: actions/cache@v4
with:
path: |
~/.cache/pypoetry
@@ -126,19 +150,16 @@ jobs:
run: make install-python-dependencies
- name: Create source distribution and Dockerfile
run: poetry run python3 openhands/runtime/utils/runtime_build.py --base_image ${{ matrix.base_image.image }} --build_folder containers/runtime --force_rebuild
- name: Lowercase Repository Owner
run: |
echo REPO_OWNER=$(echo ${{ github.repository_owner }} | tr '[:upper:]' '[:lower:]') >> $GITHUB_ENV
- name: Build and push runtime image ${{ matrix.base_image.image }}
if: github.event.pull_request.head.repo.fork != true
run: |
./containers/build.sh -i runtime -o ${{ env.REPO_OWNER }} --push -t ${{ matrix.base_image.tag }}
./containers/build.sh -i runtime -o ${{ github.repository_owner }} --push -t ${{ matrix.base_image.tag }}
# Forked repos can't push to GHCR, so we need to upload the image as an artifact
- name: Build runtime image ${{ matrix.base_image.image }} for fork
if: github.event.pull_request.head.repo.fork
uses: docker/build-push-action@v6
with:
tags: ghcr.io/${{ env.REPO_OWNER }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image.tag }}
tags: ghcr.io/all-hands-ai/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image.tag }}
outputs: type=docker,dest=/tmp/runtime-${{ matrix.base_image.tag }}.tar
context: containers/runtime
- name: Upload runtime image for fork
@@ -150,7 +171,7 @@ jobs:
verify_hash_equivalence_in_runtime_and_app:
name: Verify Hash Equivalence in Runtime and Docker images
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
needs: [ghcr_build_runtime, ghcr_build_app]
strategy:
fail-fast: false
@@ -158,10 +179,8 @@ jobs:
base_image: ['nikolaik']
steps:
- uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha }}
- name: Cache Poetry dependencies
uses: useblacksmith/cache@v5
uses: actions/cache@v4
with:
path: |
~/.cache/pypoetry
@@ -170,7 +189,7 @@ jobs:
restore-keys: |
${{ runner.os }}-poetry-
- name: Set up Python
uses: useblacksmith/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Install poetry via pipx
@@ -200,17 +219,31 @@ jobs:
exit 1
fi
# Run unit tests with the Docker runtime Docker images as root
# Run unit tests with the EventStream runtime Docker images as root
test_runtime_root:
name: RT Unit Tests (Root)
needs: [ghcr_build_runtime]
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
base_image: ['nikolaik']
steps:
- uses: actions/checkout@v4
- name: Free Disk Space (Ubuntu)
uses: jlumbroso/free-disk-space@main
with:
# this might remove tools that are actually needed,
# if set to "true" but frees about 6 GB
tool-cache: true
# all of these default to true, but feel free to set to
# "false" if necessary for your workflow
android: true
dotnet: true
haskell: true
large-packages: true
docker-images: false
swap-storage: true
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
@@ -226,7 +259,7 @@ jobs:
run: |
docker load --input /tmp/runtime-${{ matrix.base_image }}.tar
- name: Cache Poetry dependencies
uses: useblacksmith/cache@v5
uses: actions/cache@v4
with:
path: |
~/.cache/pypoetry
@@ -235,17 +268,14 @@ jobs:
restore-keys: |
${{ runner.os }}-poetry-
- name: Set up Python
uses: useblacksmith/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Install poetry via pipx
run: pipx install poetry
- name: Install Python dependencies using Poetry
run: make install-python-dependencies
- name: Lowercase Repository Owner
run: |
echo REPO_OWNER=$(echo ${{ github.repository_owner }} | tr '[:upper:]' '[:lower:]') >> $GITHUB_ENV
- name: Run docker runtime tests
- name: Run runtime tests
run: |
# We install pytest-xdist in order to run tests across CPUs
poetry run pip install pytest-xdist
@@ -253,9 +283,10 @@ jobs:
# Install to be able to retry on failures for flaky tests
poetry run pip install pytest-rerunfailures
image_name=ghcr.io/${{ env.REPO_OWNER }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image }}
image_name=ghcr.io/${{ github.repository_owner }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image }}
image_name=$(echo $image_name | tr '[:upper:]' '[:lower:]')
TEST_RUNTIME=docker \
TEST_RUNTIME=eventstream \
SANDBOX_USER_ID=$(id -u) \
SANDBOX_RUNTIME_CONTAINER_IMAGE=$image_name \
TEST_IN_CI=true \
@@ -266,16 +297,30 @@ jobs:
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
# Run unit tests with the Docker runtime Docker images as openhands user
# Run unit tests with the EventStream runtime Docker images as openhands user
test_runtime_oh:
name: RT Unit Tests (openhands)
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
needs: [ghcr_build_runtime]
strategy:
matrix:
base_image: ['nikolaik']
steps:
- uses: actions/checkout@v4
- name: Free Disk Space (Ubuntu)
uses: jlumbroso/free-disk-space@main
with:
# this might remove tools that are actually needed,
# if set to "true" but frees about 6 GB
tool-cache: true
# all of these default to true, but feel free to set to
# "false" if necessary for your workflow
android: true
dotnet: true
haskell: true
large-packages: true
docker-images: false
swap-storage: true
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
@@ -291,7 +336,7 @@ jobs:
run: |
docker load --input /tmp/runtime-${{ matrix.base_image }}.tar
- name: Cache Poetry dependencies
uses: useblacksmith/cache@v5
uses: actions/cache@v4
with:
path: |
~/.cache/pypoetry
@@ -300,16 +345,13 @@ jobs:
restore-keys: |
${{ runner.os }}-poetry-
- name: Set up Python
uses: useblacksmith/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Install poetry via pipx
run: pipx install poetry
- name: Install Python dependencies using Poetry
run: make install-python-dependencies
- name: Lowercase Repository Owner
run: |
echo REPO_OWNER=$(echo ${{ github.repository_owner }} | tr '[:upper:]' '[:lower:]') >> $GITHUB_ENV
- name: Run runtime tests
run: |
# We install pytest-xdist in order to run tests across CPUs
@@ -318,9 +360,10 @@ jobs:
# Install to be able to retry on failures for flaky tests
poetry run pip install pytest-rerunfailures
image_name=ghcr.io/${{ env.REPO_OWNER }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image }}
image_name=ghcr.io/${{ github.repository_owner }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image }}
image_name=$(echo $image_name | tr '[:upper:]' '[:lower:]')
TEST_RUNTIME=docker \
TEST_RUNTIME=eventstream \
SANDBOX_USER_ID=$(id -u) \
SANDBOX_RUNTIME_CONTAINER_IMAGE=$image_name \
TEST_IN_CI=true \
@@ -338,7 +381,7 @@ jobs:
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
runs-on: ubuntu-latest
needs: [test_runtime_root, test_runtime_oh, verify_hash_equivalence_in_runtime_and_app]
steps:
- name: All tests passed
@@ -347,7 +390,7 @@ jobs:
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
runs-on: ubuntu-latest
needs: [test_runtime_root, test_runtime_oh, verify_hash_equivalence_in_runtime_and_app]
steps:
- name: Some tests failed
@@ -358,7 +401,7 @@ jobs:
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
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4

View File

@@ -18,7 +18,7 @@ env:
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
runs-on: ubuntu-latest
permissions:
contents: "read"
id-token: "write"
@@ -35,16 +35,11 @@ jobs:
run: pipx install poetry
- name: Set up Python
uses: useblacksmith/setup-python@v6
uses: actions/setup-python@v5
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
@@ -54,7 +49,7 @@ jobs:
Hi! I started running the integration tests on your PR. You will receive a comment with the results shortly.
- name: Install Python dependencies using Poetry
run: poetry install --without evaluation
run: poetry install --without evaluation,llama-index
- name: Configure config.toml for testing with Haiku
env:
@@ -117,6 +112,68 @@ jobs:
echo "EOF" >> $GITHUB_ENV
# -------------------------------------------------------------
# Run DelegatorAgent tests for Haiku, limited to t01 and t02
- name: Wait a little bit (again)
run: sleep 5
- name: Configure config.toml for testing DelegatorAgent (Haiku)
env:
LLM_MODEL: "litellm_proxy/claude-3-5-haiku-20241022"
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
MAX_ITERATIONS: 30
run: |
echo "[llm.eval]" > config.toml
echo "model = \"$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 DelegatorAgent (Haiku)
env:
SANDBOX_FORCE_REBUILD_RUNTIME: True
run: |
poetry run ./evaluation/integration_tests/scripts/run_infer.sh llm.eval HEAD DelegatorAgent '' 30 $N_PROCESSES "t01_fix_simple_typo,t02_add_bash_hello" 'delegator_haiku_run'
# Find and export the delegator test results
REPORT_FILE_DELEGATOR_HAIKU=$(find evaluation/evaluation_outputs/outputs/integration_tests/DelegatorAgent/*haiku*_maxiter_30_N* -name "report.md" -type f | head -n 1)
echo "REPORT_FILE_DELEGATOR_HAIKU: $REPORT_FILE_DELEGATOR_HAIKU"
echo "INTEGRATION_TEST_REPORT_DELEGATOR_HAIKU<<EOF" >> $GITHUB_ENV
cat $REPORT_FILE_DELEGATOR_HAIKU >> $GITHUB_ENV
echo >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
# -------------------------------------------------------------
# Run DelegatorAgent tests for DeepSeek, limited to t01 and t02
- name: Wait a little bit (again)
run: sleep 5
- name: Configure config.toml for testing DelegatorAgent (DeepSeek)
env:
LLM_MODEL: "litellm_proxy/deepseek-chat"
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
MAX_ITERATIONS: 30
run: |
echo "[llm.eval]" > config.toml
echo "model = \"$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 DelegatorAgent (DeepSeek)
env:
SANDBOX_FORCE_REBUILD_RUNTIME: True
run: |
poetry run ./evaluation/integration_tests/scripts/run_infer.sh llm.eval HEAD DelegatorAgent '' 30 $N_PROCESSES "t01_fix_simple_typo,t02_add_bash_hello" 'delegator_deepseek_run'
# Find and export the delegator test results
REPORT_FILE_DELEGATOR_DEEPSEEK=$(find evaluation/evaluation_outputs/outputs/integration_tests/DelegatorAgent/deepseek*_maxiter_30_N* -name "report.md" -type f | head -n 1)
echo "REPORT_FILE_DELEGATOR_DEEPSEEK: $REPORT_FILE_DELEGATOR_DEEPSEEK"
echo "INTEGRATION_TEST_REPORT_DELEGATOR_DEEPSEEK<<EOF" >> $GITHUB_ENV
cat $REPORT_FILE_DELEGATOR_DEEPSEEK >> $GITHUB_ENV
echo >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
# -------------------------------------------------------------
# Run VisualBrowsingAgent tests for DeepSeek, limited to t05 and t06
- name: Wait a little bit (again)
run: sleep 5
@@ -151,7 +208,7 @@ jobs:
run: |
TIMESTAMP=$(date +'%y-%m-%d-%H-%M')
cd evaluation/evaluation_outputs/outputs # Change to the outputs directory
tar -czvf ../../../integration_tests_${TIMESTAMP}.tar.gz integration_tests/CodeActAgent/* integration_tests/VisualBrowsingAgent/* # Only include the actual result directories
tar -czvf ../../../integration_tests_${TIMESTAMP}.tar.gz integration_tests/CodeActAgent/* integration_tests/DelegatorAgent/* integration_tests/VisualBrowsingAgent/* # Only include the actual result directories
- name: Upload evaluation results as artifact
uses: actions/upload-artifact@v4
@@ -192,6 +249,12 @@ jobs:
**Integration Tests Report (DeepSeek)**
DeepSeek LLM Test Results:
${{ env.INTEGRATION_TEST_REPORT_DEEPSEEK }}
---
**Integration Tests Report Delegator (Haiku)**
${{ env.INTEGRATION_TEST_REPORT_DELEGATOR_HAIKU }}
---
**Integration Tests Report Delegator (DeepSeek)**
${{ env.INTEGRATION_TEST_REPORT_DELEGATOR_DEEPSEEK }}
---
**Integration Tests Report VisualBrowsing (DeepSeek)**
${{ env.INTEGRATION_TEST_REPORT_VISUALBROWSING_DEEPSEEK }}

View File

@@ -9,7 +9,7 @@ jobs:
lint-fix-frontend:
if: github.event.label.name == 'lint-fix'
name: Fix frontend linting issues
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
permissions:
contents: write
pull-requests: write
@@ -22,7 +22,7 @@ jobs:
token: ${{ secrets.GITHUB_TOKEN }}
- name: Install Node.js 20
uses: useblacksmith/setup-node@v5
uses: actions/setup-node@v4
with:
node-version: 20
- name: Install frontend dependencies
@@ -52,7 +52,7 @@ jobs:
lint-fix-python:
if: github.event.label.name == 'lint-fix'
name: Fix Python linting issues
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
permissions:
contents: write
pull-requests: write
@@ -65,7 +65,7 @@ jobs:
token: ${{ secrets.GITHUB_TOKEN }}
- name: Set up python
uses: useblacksmith/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: 3.12
cache: 'pip'

View File

@@ -19,11 +19,11 @@ jobs:
# Run lint on the frontend code
lint-frontend:
name: Lint frontend
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install Node.js 20
uses: useblacksmith/setup-node@v5
uses: actions/setup-node@v4
with:
node-version: 20
- name: Install dependencies
@@ -39,13 +39,13 @@ jobs:
# Run lint on the python code
lint-python:
name: Lint python
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up python
uses: useblacksmith/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: 3.12
cache: 'pip'
@@ -57,11 +57,11 @@ jobs:
# Check version consistency across documentation
check-version-consistency:
name: Check version consistency
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up python
uses: useblacksmith/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: 3.12
- name: Run version consistency check

View File

@@ -20,10 +20,6 @@ on:
required: false
type: string
default: "anthropic/claude-3-5-sonnet-20241022"
LLM_API_VERSION:
required: false
type: string
default: ""
base_container_image:
required: false
type: string
@@ -88,10 +84,12 @@ jobs:
run: |
python -m pip index versions openhands-ai > openhands_versions.txt
OPENHANDS_VERSION=$(head -n 1 openhands_versions.txt | awk '{print $2}' | tr -d '()')
# Create a new requirements.txt locally within the workflow, ensuring no reference to the repo's file
echo "openhands-ai==${OPENHANDS_VERSION}" > /tmp/requirements.txt
cat /tmp/requirements.txt
# Ensure requirements.txt ends with newline before appending
if [ -f requirements.txt ] && [ -s requirements.txt ]; then
sed -i -e '$a\' requirements.txt
fi
echo "openhands-ai==${OPENHANDS_VERSION}" >> requirements.txt
cat requirements.txt
- name: Cache pip dependencies
if: |
@@ -109,16 +107,15 @@ jobs:
uses: actions/cache@v4
with:
path: ${{ env.pythonLocation }}/lib/python3.12/site-packages/*
key: ${{ runner.os }}-pip-openhands-resolver-${{ hashFiles('/tmp/requirements.txt') }}
key: ${{ runner.os }}-pip-openhands-resolver-${{ hashFiles('requirements.txt') }}
restore-keys: |
${{ runner.os }}-pip-openhands-resolver-${{ hashFiles('/tmp/requirements.txt') }}
${{ runner.os }}-pip-openhands-resolver-${{ hashFiles('requirements.txt') }}
- name: Check required environment variables
env:
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: ${{ github.token }}
@@ -175,7 +172,7 @@ jobs:
echo "SANDBOX_ENV_BASE_CONTAINER_IMAGE=${{ inputs.base_container_image }}" >> $GITHUB_ENV
# Set branch variables
echo "TARGET_BRANCH=${{ inputs.target_branch || 'main' }}" >> $GITHUB_ENV
echo "TARGET_BRANCH=${{ inputs.target_branch }}" >> $GITHUB_ENV
- name: Comment on issue with start message
uses: actions/github-script@v7
@@ -223,18 +220,16 @@ jobs:
} else {
console.log("Installing from requirements.txt...");
await exec.exec("python -m pip install --upgrade pip");
await exec.exec("pip install -r /tmp/requirements.txt");
await exec.exec("pip install -r requirements.txt");
}
- name: Attempt to resolve issue
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 \
@@ -267,17 +262,14 @@ jobs:
env:
GITHUB_TOKEN: ${{ secrets.PAT_TOKEN || github.token }}
GITHUB_USERNAME: ${{ secrets.PAT_USERNAME || 'openhands-agent' }}
GIT_USERNAME: ${{ secrets.PAT_USERNAME || 'openhands-agent' }}
LLM_MODEL: ${{ secrets.LLM_MODEL || inputs.LLM_MODEL }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
LLM_API_VERSION: ${{ inputs.LLM_API_VERSION }}
PYTHONPATH: ""
run: |
if [ "${{ steps.check_result.outputs.RESOLUTION_SUCCESS }}" == "true" ]; then
cd /tmp && python -m openhands.resolver.send_pull_request \
--issue-number ${{ env.ISSUE_NUMBER }} \
--target-branch ${{ env.TARGET_BRANCH }} \
--pr-type draft \
--reviewer ${{ github.actor }} | tee pr_result.txt && \
grep "draft created" pr_result.txt | sed 's/.*\///g' > pr_number.txt
@@ -295,12 +287,11 @@ jobs:
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;
const issueNumber = ${{ env.ISSUE_NUMBER }};
let logContent = '';
try {
@@ -331,15 +322,13 @@ jobs:
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';
const issueNumber = ${{ env.ISSUE_NUMBER }};
const success = ${{ steps.check_result.outputs.RESOLUTION_SUCCESS }};
let prNumber = '';
let branchName = '';
@@ -404,12 +393,10 @@ jobs:
- 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;
const issueNumber = ${{ env.ISSUE_NUMBER }};
github.rest.issues.createComment({
issue_number: issueNumber,

98
.github/workflows/py-unit-tests-mac.yml vendored Normal file
View File

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

View File

@@ -19,7 +19,7 @@ jobs:
# Run python unit tests on Linux
test-on-linux:
name: Python Unit Tests on Linux
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
env:
INSTALL_DOCKER: '0' # Set to '0' to skip Docker installation
strategy:
@@ -32,23 +32,19 @@ jobs:
uses: docker/setup-buildx-action@v3
- name: Install tmux
run: sudo apt-get update && sudo apt-get install -y tmux
- name: Setup Node.js
uses: 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
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
cache: 'poetry'
- name: Install Python dependencies using Poetry
run: poetry install --without evaluation
run: poetry install --without evaluation,llama-index
- name: Build Environment
run: make build
- name: Run Tests
run: poetry run pytest --forked -n auto --cov=openhands --cov-report=xml -svv ./tests/unit
run: poetry run pytest --forked -n auto --cov=openhands --cov-report=xml -svv ./tests/unit --ignore=tests/unit/test_memory.py
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v5
env:

View File

@@ -12,10 +12,10 @@ on:
jobs:
release:
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: useblacksmith/setup-python@v6
- uses: actions/setup-python@v5
with:
python-version: 3.12
- name: Install Poetry

View File

@@ -10,7 +10,7 @@ jobs:
trigger-job:
name: Trigger remote eval job
if: ${{ github.event.label.name == 'run-eval-xs' || github.event.label.name == 'run-eval-s' || github.event.label.name == 'run-eval-m' }}
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
steps:
- name: Checkout PR branch

View File

@@ -8,7 +8,7 @@ on:
jobs:
stale:
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
steps:
- uses: actions/stale@v9
with:
@@ -19,4 +19,3 @@ jobs:
close-issue-message: 'This issue was closed because it has been stalled for over 30 days with no activity.'
close-pr-message: 'This PR was closed because it has been stalled for over 30 days with no activity.'
days-before-close: 7
operations-per-run: 150

1
.gitignore vendored
View File

@@ -176,6 +176,7 @@ evaluation/gorilla/data
evaluation/toolqa/data
evaluation/scienceagentbench/benchmark
evaluation/commit0_bench/repos
evaluation/visualcodebench/
# openhands resolver
output/

View File

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

View File

@@ -33,7 +33,6 @@ Frontend:
- 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:

View File

@@ -1,5 +0,0 @@
#! /bin/bash
echo "Setting up the environment..."
python -m pip install pre-commit

View File

@@ -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"

View File

@@ -100,7 +100,7 @@ poetry run pytest ./tests/unit/test_*.py
To reduce build time (e.g., if no changes were made to the client-runtime component), you can use an existing Docker container image by
setting the SANDBOX_RUNTIME_CONTAINER_IMAGE environment variable to the desired Docker image.
Example: `export SANDBOX_RUNTIME_CONTAINER_IMAGE=ghcr.io/all-hands-ai/runtime:0.29-nikolaik`
Example: `export SANDBOX_RUNTIME_CONTAINER_IMAGE=ghcr.io/all-hands-ai/runtime:0.21-nikolaik`
## Develop inside Docker container
@@ -126,19 +126,3 @@ cd ./containers/dev
```
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`: Main project overview, features, and basic setup instructions
- `/Development.md` (this file): Comprehensive guide for developers working on OpenHands
- `/CONTRIBUTING.md`: Guidelines for contributing to the project, including code style and PR process
- `/docs/DOC_STYLE_GUIDE.md`: Standards for writing and maintaining project documentation
- `/openhands/README.md`: Details about the backend Python implementation
- `/frontend/README.md`: Frontend React application setup and development guide
- `/containers/README.md`: Information about Docker containers and deployment
- `/tests/unit/README.md`: Guide to writing and running unit tests
- `/evaluation/README.md`: Documentation for the evaluation framework and benchmarks
- `/microagents/README.md`: Information about the microagents architecture and implementation
- `/openhands/server/README.md`: Server implementation details and API documentation
- `/openhands/runtime/README.md`: Documentation for the runtime environment and execution model

View File

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

View File

@@ -1,4 +1,4 @@
SHELL=/usr/bin/env bash
SHELL=/bin/bash
# Makefile for OpenHands project
# Variables
@@ -81,10 +81,10 @@ check-nodejs:
@if command -v node > /dev/null; then \
NODE_VERSION=$(shell node --version | sed -E 's/v//g'); \
IFS='.' read -r -a NODE_VERSION_ARRAY <<< "$$NODE_VERSION"; \
if [ "$${NODE_VERSION_ARRAY[0]}" -ge 22 ]; then \
if [ "$${NODE_VERSION_ARRAY[0]}" -ge 20 ]; then \
echo "$(BLUE)Node.js $$NODE_VERSION is already installed.$(RESET)"; \
else \
echo "$(RED)Node.js 22.x or later is required. Please install Node.js 22.x or later to continue.$(RESET)"; \
echo "$(RED)Node.js 20.x or later is required. Please install Node.js 20.x or later to continue.$(RESET)"; \
exit 1; \
fi; \
else \
@@ -133,7 +133,7 @@ install-python-dependencies:
export HNSWLIB_NO_NATIVE=1; \
poetry run pip install chroma-hnswlib; \
fi
@poetry install
@poetry install --without llama-index
@if [ -f "/etc/manjaro-release" ]; then \
echo "$(BLUE)Detected Manjaro Linux. Installing Playwright dependencies...$(RESET)"; \
poetry run pip install playwright; \
@@ -265,6 +265,35 @@ setup-config-prompts:
@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
@echo "Enter your LLM Embedding Model"; \
echo "Choices are:"; \
echo " - openai"; \
echo " - azureopenai"; \
echo " - Embeddings available only with OllamaEmbedding:"; \
echo " - llama2"; \
echo " - mxbai-embed-large"; \
echo " - nomic-embed-text"; \
echo " - all-minilm"; \
echo " - stable-code"; \
echo " - bge-m3"; \
echo " - bge-large"; \
echo " - paraphrase-multilingual"; \
echo " - snowflake-arctic-embed"; \
echo " - Leave blank to default to 'BAAI/bge-small-en-v1.5' via huggingface"; \
read -p "> " llm_embedding_model; \
echo "embedding_model=\"$$llm_embedding_model\"" >> $(CONFIG_FILE).tmp; \
if [ "$$llm_embedding_model" = "llama2" ] || [ "$$llm_embedding_model" = "mxbai-embed-large" ] || [ "$$llm_embedding_model" = "nomic-embed-text" ] || [ "$$llm_embedding_model" = "all-minilm" ] || [ "$$llm_embedding_model" = "stable-code" ]; then \
read -p "Enter the local model URL for the embedding model (will set llm.embedding_base_url): " llm_embedding_base_url; \
echo "embedding_base_url=\"$$llm_embedding_base_url\"" >> $(CONFIG_FILE).tmp; \
elif [ "$$llm_embedding_model" = "azureopenai" ]; then \
read -p "Enter the Azure endpoint URL (will overwrite llm.base_url): " llm_base_url; \
echo "base_url=\"$$llm_base_url\"" >> $(CONFIG_FILE).tmp; \
read -p "Enter the Azure LLM Embedding Deployment Name: " llm_embedding_deployment_name; \
echo "embedding_deployment_name=\"$$llm_embedding_deployment_name\"" >> $(CONFIG_FILE).tmp; \
read -p "Enter the Azure API Version: " llm_api_version; \
echo "api_version=\"$$llm_api_version\"" >> $(CONFIG_FILE).tmp; \
fi
# Develop in container
docker-dev:

View File

@@ -12,7 +12,7 @@
<a href="https://codecov.io/github/All-Hands-AI/OpenHands?branch=main"><img alt="CodeCov" src="https://img.shields.io/codecov/c/github/All-Hands-AI/OpenHands?style=for-the-badge&color=blue"></a>
<a href="https://github.com/All-Hands-AI/OpenHands/blob/main/LICENSE"><img src="https://img.shields.io/github/license/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="MIT License"></a>
<br/>
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2ngejmfw6-9gW4APWOC9XUp1n~SiQ6iw"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="Join our Slack community"></a>
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="Join our Slack community"></a>
<a href="https://discord.gg/ESHStjSjD4"><img src="https://img.shields.io/badge/Discord-Join%20Us-purple?logo=discord&logoColor=white&style=for-the-badge" alt="Join our Discord community"></a>
<a href="https://github.com/All-Hands-AI/OpenHands/blob/main/CREDITS.md"><img src="https://img.shields.io/badge/Project-Credits-blue?style=for-the-badge&color=FFE165&logo=github&logoColor=white" alt="Credits"></a>
<br/>
@@ -43,23 +43,19 @@ See the [Running OpenHands](https://docs.all-hands.dev/modules/usage/installatio
system requirements and more information.
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik \
-e LOG_ALL_EVENTS=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-v ~/.openhands-state:/.openhands-state \
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
--name openhands-app \
docker.all-hands.dev/all-hands-ai/openhands:0.29
docker.all-hands.dev/all-hands-ai/openhands:0.21
```
> [!WARNING]
> On a public network? See our [Hardened Docker Installation](https://docs.all-hands.dev/modules/usage/runtimes/docker#hardened-docker-installation) guide
> to secure your deployment by restricting network binding and implementing additional security measures.
You'll find OpenHands running at [http://localhost:3000](http://localhost:3000)!
Finally, you'll need a model provider and API key.
@@ -100,7 +96,7 @@ troubleshooting resources, and advanced configuration options.
OpenHands is a community-driven project, and we welcome contributions from everyone. We do most of our communication
through Slack, so this is the best place to start, but we also are happy to have you contact us on Discord or Github:
- [Join our Slack workspace](https://join.slack.com/t/openhands-ai/shared_invite/zt-2ngejmfw6-9gW4APWOC9XUp1n~SiQ6iw) - Here we talk about research, architecture, and future development.
- [Join our Slack workspace](https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw) - Here we talk about research, architecture, and future development.
- [Join our Discord server](https://discord.gg/ESHStjSjD4) - This is a community-run server for general discussion, questions, and feedback.
- [Read or post Github Issues](https://github.com/All-Hands-AI/OpenHands/issues) - Check out the issues we're working on, or add your own ideas.

View File

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

View File

@@ -17,12 +17,6 @@
#modal_api_token_id = ""
#modal_api_token_secret = ""
# API key for Daytona
#daytona_api_key = ""
# Daytona Target
#daytona_target = ""
# Base path for the workspace
workspace_base = "./workspace"
@@ -38,14 +32,13 @@ workspace_base = "./workspace"
# Disable color in terminal output
#disable_color = false
# Enable saving and restoring the session when run from CLI
#enable_cli_session = 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
@@ -57,6 +50,9 @@ workspace_base = "./workspace"
# File store type
#file_store = "memory"
# List of allowed file extensions for uploads
#file_uploads_allowed_extensions = [".*"]
# Maximum file size for uploads, in megabytes
#file_uploads_max_file_size_mb = 0
@@ -93,17 +89,6 @@ workspace_base = "./workspace"
# List of allowed file extensions for uploads
#file_uploads_allowed_extensions = [".*"]
# Whether to enable the default LLM summarizing condenser when no condenser is specified in config
# When true, a LLMSummarizingCondenserConfig will be used as the default condenser
# When false, a NoOpCondenserConfig (no summarization) will be used
#enable_default_condenser = true
# 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
@@ -119,7 +104,7 @@ workspace_base = "./workspace"
#aws_secret_access_key = ""
# API key to use (For Headless / CLI only - In Web this is overridden by Session Init)
api_key = ""
api_key = "your-api-key"
# API base URL (For Headless / CLI only - In Web this is overridden by Session Init)
#base_url = ""
@@ -136,6 +121,15 @@ api_key = ""
# Custom LLM provider
#custom_llm_provider = ""
# Embedding API base URL
#embedding_base_url = ""
# Embedding deployment name
#embedding_deployment_name = ""
# Embedding model to use
embedding_model = "local"
# Maximum number of characters in an observation's content
#max_message_chars = 10000
@@ -200,10 +194,8 @@ model = "gpt-4o"
# https://github.com/All-Hands-AI/OpenHands/pull/4711
#native_tool_calling = None
[llm.gpt4o-mini]
api_key = ""
api_key = "your-api-key"
model = "gpt-4o"
@@ -215,15 +207,24 @@ model = "gpt-4o"
##############################################################################
[agent]
# Whether the browsing tool is enabled
# whether the browsing tool is enabled
codeact_enable_browsing = true
# Whether the LLM draft editor is enabled
# whether the LLM draft editor is enabled
codeact_enable_llm_editor = false
# Whether the IPython tool is enabled
# whether the IPython tool is enabled
codeact_enable_jupyter = true
# Name of the micro agent to use for this agent
#micro_agent_name = ""
# Memory enabled
#memory_enabled = false
# Memory maximum threads
#memory_max_threads = 3
# LLM config group to use
#llm_config = 'your-llm-config-group'
@@ -233,10 +234,6 @@ codeact_enable_jupyter = true
# List of microagents to disable
#disabled_microagents = []
# Whether history should be truncated to continue the session when hitting LLM context
# length limit
enable_history_truncation = true
[agent.RepoExplorerAgent]
# Example: use a cheaper model for RepoExplorerAgent to reduce cost, especially
# useful when an agent doesn't demand high quality but uses a lot of tokens
@@ -258,7 +255,7 @@ llm_config = 'gpt3'
# Use host network
#use_host_network = false
# Runtime extra build args
# runtime extra build args
#runtime_extra_build_args = ["--network=host", "--add-host=host.docker.internal:host-gateway"]
# Enable auto linting after editing
@@ -276,33 +273,6 @@ llm_config = 'gpt3'
# 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
# Additional Docker runtime kwargs
#docker_runtime_kwargs = {}
#################################### Security ###################################
# Configuration for security features
##############################################################################
@@ -314,72 +284,6 @@ llm_config = 'gpt3'
# The security analyzer to use (For Headless / CLI only - In Web this is overridden by Session Init)
#security_analyzer = ""
# Whether to enable security analyzer
#enable_security_analyzer = false
#################################### Condenser #################################
# Condensers control how conversation history is managed and compressed when
# the context grows too large. Each agent uses one condenser configuration.
##############################################################################
[condenser]
# The type of condenser to use. Available options:
# - "noop": No condensing, keeps full history (default)
# - "observation_masking": Keeps full event structure but masks older observations
# - "recent": Keeps only recent events and discards older ones
# - "llm": Uses an LLM to summarize conversation history
# - "amortized": Intelligently forgets older events while preserving important context
# - "llm_attention": Uses an LLM to prioritize most relevant context
type = "noop"
# Examples for each condenser type (uncomment and modify as needed):
# 1. NoOp Condenser - No additional settings needed
#type = "noop"
# 2. Observation Masking Condenser
#type = "observation_masking"
# Number of most-recent events where observations will not be masked
#attention_window = 100
# 3. Recent Events Condenser
#type = "recent"
# Number of initial events to always keep (typically includes task description)
#keep_first = 1
# Maximum number of events to keep in history
#max_events = 100
# 4. LLM Summarizing Condenser
#type = "llm"
# Reference to an LLM config to use for summarization
#llm_config = "condenser"
# Number of initial events to always keep (typically includes task description)
#keep_first = 1
# Maximum size of history before triggering summarization
#max_size = 100
# 5. Amortized Forgetting Condenser
#type = "amortized"
# Number of initial events to always keep (typically includes task description)
#keep_first = 1
# Maximum size of history before triggering forgetting
#max_size = 100
# 6. LLM Attention Condenser
#type = "llm_attention"
# Reference to an LLM config to use for attention scoring
#llm_config = "condenser"
# Number of initial events to always keep (typically includes task description)
#keep_first = 1
# Maximum size of history before triggering attention mechanism
#max_size = 100
# Example of a custom LLM configuration for condensers that require an LLM
# If not provided, it falls back to the default LLM
#[llm.condenser]
#model = "gpt-4o"
#temperature = 0.1
#max_tokens = 1024
#################################### Eval ####################################
# Configuration for the evaluation, please refer to the specific evaluation
# plugin for the available options

View File

@@ -26,7 +26,7 @@ RUN apt-get update -y \
COPY ./pyproject.toml ./poetry.lock ./
RUN touch README.md
RUN export POETRY_CACHE_DIR && poetry install --without evaluation --no-root && rm -rf $POETRY_CACHE_DIR
RUN export POETRY_CACHE_DIR && poetry install --without evaluation,llama-index --no-root && rm -rf $POETRY_CACHE_DIR
FROM python:3.12.3-slim AS openhands-app

View File

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

View File

@@ -11,7 +11,7 @@ services:
- BACKEND_HOST=${BACKEND_HOST:-"0.0.0.0"}
- SANDBOX_API_HOSTNAME=host.docker.internal
#
- SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-ghcr.io/all-hands-ai/runtime:0.29-nikolaik}
- SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-ghcr.io/all-hands-ai/runtime:0.21-nikolaik}
- SANDBOX_USER_ID=${SANDBOX_USER_ID:-1234}
- WORKSPACE_MOUNT_PATH=${WORKSPACE_BASE:-$PWD/workspace}
ports:

View File

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

View File

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

View File

@@ -7,7 +7,7 @@ services:
image: openhands:latest
container_name: openhands-app-${DATE:-}
environment:
- SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik}
- SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik}
#- SANDBOX_USER_ID=${SANDBOX_USER_ID:-1234} # enable this only if you want a specific non-root sandbox user but you will have to manually adjust permissions of openhands-state for this user
- WORKSPACE_MOUNT_PATH=${WORKSPACE_BASE:-$PWD/workspace}
ports:

View File

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

View File

@@ -75,6 +75,12 @@ const config: Config = {
position: "left",
label: "User Guides",
},
{
type: "docSidebar",
sidebarId: "apiSidebar",
position: "left",
label: "Python API",
},
{
type: 'localeDropdown',
position: 'left',

View File

@@ -402,26 +402,5 @@
"theme.unlistedContent.message": {
"message": "Cette page n'est pas répertoriée. Les moteurs de recherche ne l'indexeront pas, et seuls les utilisateurs ayant un lien direct peuvent y accéder.",
"description": "The unlisted content banner message"
},
"Use AI to tackle the toil in your backlog. Our agents have all the same tools as a human developer: they can modify code, run commands, browse the web, call APIs, and yes-even copy code snippets from StackOverflow.": {
"message": "Utilisez l'IA pour gérer les tâches répétitives de votre backlog. Nos agents disposent des mêmes outils qu'un développeur humain : ils peuvent modifier du code, exécuter des commandes, naviguer sur le web, appeler des API et même copier des extraits de code depuis StackOverflow."
},
"Get started with OpenHands.": {
"message": "Commencer avec OpenHands"
},
"Most Popular Links": {
"message": "Liens Populaires"
},
"Customizing OpenHands to a repository": {
"message": "Personnaliser OpenHands pour un dépôt"
},
"Integrating OpenHands with Github": {
"message": "Intégrer OpenHands avec Github"
},
"Recommended models to use": {
"message": "Modèles recommandés"
},
"Connecting OpenHands to your filesystem": {
"message": "Connecter OpenHands à votre système de fichiers"
}
}

View File

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

View File

@@ -11,39 +11,41 @@ la priorité.
# Table des matières
1. [Configuration de base](#core-configuration)
- [Clés API](#api-keys)
- [Espace de travail](#workspace)
- [Débogage et journalisation](#debugging-and-logging)
- [Trajectoires](#trajectories)
- [Stockage de fichiers](#file-store)
- [Gestion des tâches](#task-management)
- [Configuration du bac à sable](#sandbox-configuration)
- [Divers](#miscellaneous)
2. [Configuration LLM](#llm-configuration)
- [Informations d'identification AWS](#aws-credentials)
- [Configuration de l'API](#api-configuration)
- [Fournisseur LLM personnalisé](#custom-llm-provider)
1. [Configuration de base](#configuration-de-base)
- [Clés API](#clés-api)
- [Espace de travail](#espace-de-travail)
- [Débogage et journalisation](#débogage-et-journalisation)
- [Gestion des sessions](#gestion-des-sessions)
- [Trajectoires](#trajectoires)
- [Stockage de fichiers](#stockage-de-fichiers)
- [Gestion des tâches](#gestion-des-tâches)
- [Configuration du bac à sable](#configuration-du-bac-à-sable)
- [Divers](#divers)
2. [Configuration LLM](#configuration-llm)
- [Informations d'identification AWS](#informations-didentification-aws)
- [Configuration de l'API](#configuration-de-lapi)
- [Fournisseur LLM personnalisé](#fournisseur-llm-personnalisé)
- [Embeddings](#embeddings)
- [Gestion des messages](#message-handling)
- [Sélection du modèle](#model-selection)
- [Nouvelles tentatives](#retrying)
- [Options avancées](#advanced-options)
3. [Configuration de l'agent](#agent-configuration)
- [Configuration de la mémoire](#memory-configuration)
- [Configuration LLM](#llm-configuration-1)
- [Configuration de l'espace d'action](#actionspace-configuration)
- [Utilisation du micro-agent](#microagent-usage)
4. [Configuration du bac à sable](#sandbox-configuration-1)
- [Exécution](#execution)
- [Image de conteneur](#container-image)
- [Mise en réseau](#networking)
- [Linting et plugins](#linting-and-plugins)
- [Dépendances et environnement](#dependencies-and-environment)
- [Évaluation](#evaluation)
5. [Configuration de sécurité](#security-configuration)
- [Mode de confirmation](#confirmation-mode)
- [Analyseur de sécurité](#security-analyzer)
- [Gestion des messages](#gestion-des-messages)
- [Sélection du modèle](#sélection-du-modèle)
- [Nouvelles tentatives](#nouvelles-tentatives)
- [Options avancées](#options-avancées)
3. [Configuration de l'agent](#configuration-de-lagent)
- [Configuration du micro-agent](#configuration-du-micro-agent)
- [Configuration de la mémoire](#configuration-de-la-mémoire)
- [Configuration LLM](#configuration-llm-2)
- [Configuration de l'espace d'action](#configuration-de-lespace-daction)
- [Utilisation du micro-agent](#utilisation-du-micro-agent)
4. [Configuration du bac à sable](#configuration-du-bac-à-sable-2)
- [Exécution](#exécution)
- [Image de conteneur](#image-de-conteneur)
- [Mise en réseau](#mise-en-réseau)
- [Linting et plugins](#linting-et-plugins)
- [Dépendances et environnement](#dépendances-et-environnement)
- [Évaluation](#évaluation)
5. [Configuration de sécurité](#configuration-de-sécurité)
- [Mode de confirmation](#mode-de-confirmation)
- [Analyseur de sécurité](#analyseur-de-sécurité)
---
@@ -161,7 +163,7 @@ Les options de configuration de base sont définies dans la section `[core]` du
- `runtime`
- Type : `str`
- Valeur par défaut : `"docker"`
- Valeur par défaut : `"eventstream"`
- Description : Environnement d'exécution
- `default_agent`
@@ -331,6 +333,12 @@ Pour les configurations de développement, vous pouvez également définir des c
Les options de configuration de l'agent sont définies dans les sections `[agent]` et `[agent.<agent_name>]` du fichier `config.toml`.
**Configuration du micro-agent**
- `micro_agent_name`
- Type : `str`
- Valeur par défaut : `""`
- Description : Nom du micro-agent à utiliser pour cet agent
**Configuration de la mémoire**
- `memory_enabled`
- Type : `bool`

View File

@@ -42,11 +42,10 @@ Créez un fichier ```config.toml``` dans le répertoire OpenHands et entrez ces
[core]
workspace_base="./workspace"
run_as_openhands=true
[sandbox]
base_container_image="image_personnalisée"
sandbox_base_container_image="image_personnalisée"
```
> Assurez-vous que ```base_container_image``` est défini sur le nom de votre image personnalisée précédente.
> Assurez-vous que ```sandbox_base_container_image``` est défini sur le nom de votre image personnalisée précédente.
## Exécution
@@ -83,17 +82,20 @@ dockerfile_content = (
## Dépannage / Erreurs
### Erreur: ```useradd: UID 1000 est non unique```
Si vous voyez cette erreur dans la sortie de la console, il s'agit du fait que OpenHands essaie de créer le utilisateur openhands dans le sandbox avec un ID d'utilisateur de 1000, cependant cet ID d'utilisateur est déjà utilisé dans l'image (pour une raison inconnue). Pour résoudre ce problème, changez la valeur du champ user_id dans le fichier config.toml en une valeur différente:
Si vous voyez cette erreur dans la sortie de la console, il s'agit du fait que OpenHands essaie de créer le utilisateur openhands dans le sandbox avec un ID d'utilisateur de 1000, cependant cet ID d'utilisateur est déjà utilisé dans l'image (pour une raison inconnue). Pour résoudre ce problème, changez la valeur du champ sandbox_user_id dans le fichier config.toml en une valeur différente:
```toml
[core]
workspace_base="./workspace"
run_as_openhands=true
[sandbox]
base_container_image="image_personnalisée"
user_id="1001"
sandbox_base_container_image="image_personnalisée"
sandbox_user_id="1001"
```
### Erreurs de port d'utilisation
Si vous voyez un message d'erreur indiquant que le port est utilisé ou indisponible, essayez de supprimer toutes les containers docker en cours d'exécution (exécutez `docker ps` et `docker rm` des containers concernés) puis ré-exécutez ```make run```
## Discuter
Pour d'autres problèmes ou questions rejoignez le [Slack](https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw) ou le [Discord](https://discord.gg/ESHStjSjD4) et demandez!

View File

@@ -52,7 +52,7 @@ LLM_API_KEY="sk_test_12345"
```bash
docker run -it \
--pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik \
-e SANDBOX_USER_ID=$(id -u) \
-e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
-e LLM_API_KEY=$LLM_API_KEY \
@@ -61,7 +61,7 @@ docker run -it \
-v /var/run/docker.sock:/var/run/docker.sock \
--add-host host.docker.internal:host-gateway \
--name openhands-app-$(date +%Y%m%d%H%M%S) \
docker.all-hands.dev/all-hands-ai/openhands:0.29 \
docker.all-hands.dev/all-hands-ai/openhands:0.21 \
python -m openhands.core.cli
```

View File

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

View File

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

View File

@@ -46,7 +46,7 @@ LLM_API_KEY="sk_test_12345"
```bash
docker run -it \
--pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik \
-e SANDBOX_USER_ID=$(id -u) \
-e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
-e LLM_API_KEY=$LLM_API_KEY \
@@ -56,6 +56,6 @@ docker run -it \
-v /var/run/docker.sock:/var/run/docker.sock \
--add-host host.docker.internal:host-gateway \
--name openhands-app-$(date +%Y%m%d%H%M%S) \
docker.all-hands.dev/all-hands-ai/openhands:0.29 \
docker.all-hands.dev/all-hands-ai/openhands:0.21 \
python -m openhands.core.main -t "write a bash script that prints hi" --no-auto-continue
```

View File

@@ -13,16 +13,16 @@
La façon la plus simple d'exécuter OpenHands est avec Docker.
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik \
-e LOG_ALL_EVENTS=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
--name openhands-app \
docker.all-hands.dev/all-hands-ai/openhands:0.29
docker.all-hands.dev/all-hands-ai/openhands:0.21
```
Vous pouvez également exécuter OpenHands en mode [headless scriptable](https://docs.all-hands.dev/modules/usage/how-to/headless-mode), en tant que [CLI interactive](https://docs.all-hands.dev/modules/usage/how-to/cli-mode), ou en utilisant l'[Action GitHub OpenHands](https://docs.all-hands.dev/modules/usage/how-to/github-action).

View File

@@ -42,7 +42,7 @@ Explorez le code source d'OpenHands sur [GitHub](https://github.com/All-Hands-AI
/>
</a>
<br></br>
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2ngejmfw6-9gW4APWOC9XUp1n~SiQ6iw">
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw">
<img
src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge"
alt="Join our Slack community"

View File

@@ -13,7 +13,7 @@ C'est le Runtime par défaut qui est utilisé lorsque vous démarrez OpenHands.
```
docker run # ...
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik \
-v /var/run/docker.sock:/var/run/docker.sock \
# ...
```

View File

@@ -402,26 +402,5 @@
"theme.unlistedContent.message": {
"message": "此页面未列出。搜索引擎不会对其索引,只有拥有直接链接的用户才能访问。",
"description": "The unlisted content banner message"
},
"Use AI to tackle the toil in your backlog. Our agents have all the same tools as a human developer: they can modify code, run commands, browse the web, call APIs, and yes-even copy code snippets from StackOverflow.": {
"message": "使用AI处理您积压的工作。我们的代理拥有与人类开发者相同的工具它们可以修改代码、运行命令、浏览网页、调用API甚至从StackOverflow复制代码片段。"
},
"Get started with OpenHands.": {
"message": "开始使用OpenHands"
},
"Most Popular Links": {
"message": "热门链接"
},
"Customizing OpenHands to a repository": {
"message": "为仓库定制OpenHands"
},
"Integrating OpenHands with Github": {
"message": "将OpenHands与Github集成"
},
"Recommended models to use": {
"message": "推荐使用的模型"
},
"Connecting OpenHands to your filesystem": {
"message": "将OpenHands连接到您的文件系统"
}
}

View File

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

View File

@@ -10,39 +10,41 @@
# 目录
1. [核心配置](#core-configuration)
1. [核心配置](#核心配置)
- [API Keys](#api-keys)
- [工作区](#workspace)
- [调试和日志记录](#debugging-and-logging)
- [轨迹](#trajectories)
- [文件存储](#file-store)
- [任务管理](#task-management)
- [沙箱配置](#sandbox-configuration)
- [其他](#miscellaneous)
2. [LLM 配置](#llm-configuration)
- [AWS 凭证](#aws-credentials)
- [API 配置](#api-configuration)
- [自定义 LLM Provider](#custom-llm-provider)
- [工作区](#工作区)
- [调试和日志记录](#调试和日志记录)
- [会话管理](#会话管理)
- [轨迹](#轨迹)
- [文件存储](#文件存储)
- [任务管理](#任务管理)
- [沙箱配置](#沙箱配置)
- [其他](#其他)
2. [LLM 配置](#llm-配置)
- [AWS 凭证](#aws-凭证)
- [API 配置](#api-配置)
- [自定义 LLM Provider](#自定义-llm-provider)
- [Embeddings](#embeddings)
- [消息处理](#message-handling)
- [模型选择](#model-selection)
- [重试](#retrying)
- [高级选项](#advanced-options)
3. [Agent 配置](#agent-configuration)
- [内存配置](#memory-configuration)
- [LLM 配置](#llm-configuration-1)
- [ActionSpace 配置](#actionspace-configuration)
- [Microagent 使用](#microagent-usage)
4. [沙箱配置](#sandbox-configuration-1)
- [执行](#execution)
- [容器镜像](#container-image)
- [网络](#networking)
- [Linting 和插件](#linting-and-plugins)
- [依赖和环境](#dependencies-and-environment)
- [评估](#evaluation)
5. [安全配置](#security-configuration)
- [确认模式](#confirmation-mode)
- [安全分析器](#security-analyzer)
- [消息处理](#消息处理)
- [模型选择](#模型选择)
- [重试](#重试)
- [高级选项](#高级选项)
3. [Agent 配置](#agent-配置)
- [Microagent 配置](#microagent-配置)
- [内存配置](#内存配置)
- [LLM 配置](#llm-配置-2)
- [ActionSpace 配置](#actionspace-配置)
- [Microagent 使用](#microagent-使用)
4. [沙箱配置](#沙箱配置-2)
- [执行](#执行)
- [容器镜像](#容器镜像)
- [网络](#网络)
- [Linting 和插件](#linting-和插件)
- [依赖和环境](#依赖和环境)
- [评估](#评估)
5. [安全配置](#安全配置)
- [确认模式](#确认模式)
- [安全分析器](#安全分析器)
---
@@ -160,7 +162,7 @@
- `runtime`
- 类型: `str`
- 默认值: `"docker"`
- 默认值: `"eventstream"`
- 描述: 运行时环境
- `default_agent`
@@ -326,6 +328,12 @@ LLM(大语言模型)配置选项在 `config.toml` 文件的 `[llm]` 部分中定
Agent 配置选项在 `config.toml` 文件的 `[agent]``[agent.<agent_name>]` 部分中定义。
**Microagent 配置**
- `micro_agent_name`
- 类型: `str`
- 默认值: `""`
- 描述: 用于此 agent 的 micro agent 名称
**内存配置**
- `memory_enabled`
- 类型: `bool`

View File

@@ -58,11 +58,10 @@ docker build -t custom_image .
[core]
workspace_base="./workspace"
run_as_openhands=true
[sandbox]
base_container_image="custom_image"
sandbox_base_container_image="custom_image"
```
对于 `base_container_image` 的值, 您可以选择以下任意一项:
对于 `sandbox_base_container_image` 的值, 您可以选择以下任意一项:
1. 在上一步中您构建的自定义镜像的名称(例如,`“custom_image”`
2. 从 Docker Hub 拉取的镜像(例如,`“node:20”`,如果你需要一个预装 `Node.js` 的沙箱环境)
@@ -84,17 +83,20 @@ base_container_image="custom_image"
### 错误:```useradd: UID 1000 is not unique```
如果在控制台输出中看到此错误,说明 OpenHands 尝试在沙箱中以 UID 1000 创建 openhands 用户,但该 UID 已经被映像中的其他部分使用(不知何故)。要解决这个问题,请更改 config.toml 文件中的 user_id 字段为不同的值:
如果在控制台输出中看到此错误,说明 OpenHands 尝试在沙箱中以 UID 1000 创建 openhands 用户,但该 UID 已经被映像中的其他部分使用(不知何故)。要解决这个问题,请更改 config.toml 文件中的 sandbox_user_id 字段为不同的值:
```
[core]
workspace_base="./workspace"
run_as_openhands=true
[sandbox]
base_container_image="custom_image"
user_id="1001"
sandbox_base_container_image="custom_image"
sandbox_user_id="1001"
```
### 端口使用错误
如果您遇到端口被占用或不可用的错误提示,可以尝试先用`docker ps`命令列出所有运行中的 Docker 容器,然后使用`docker rm`命令删除相关容器,最后再重新执行```make run```命令。
## 讨论
对于其他问题或疑问,请加入 [Slack](https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw) 或 [Discord](https://discord.gg/ESHStjSjD4) 提问!

View File

@@ -50,7 +50,7 @@ LLM_API_KEY="sk_test_12345"
```bash
docker run -it \
--pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik \
-e SANDBOX_USER_ID=$(id -u) \
-e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
-e LLM_API_KEY=$LLM_API_KEY \
@@ -59,7 +59,7 @@ docker run -it \
-v /var/run/docker.sock:/var/run/docker.sock \
--add-host host.docker.internal:host-gateway \
--name openhands-app-$(date +%Y%m%d%H%M%S) \
docker.all-hands.dev/all-hands-ai/openhands:0.29 \
docker.all-hands.dev/all-hands-ai/openhands:0.21 \
python -m openhands.core.cli
```

View File

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

View File

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

View File

@@ -47,7 +47,7 @@ LLM_API_KEY="sk_test_12345"
```bash
docker run -it \
--pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik \
-e SANDBOX_USER_ID=$(id -u) \
-e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
-e LLM_API_KEY=$LLM_API_KEY \
@@ -57,6 +57,6 @@ docker run -it \
-v /var/run/docker.sock:/var/run/docker.sock \
--add-host host.docker.internal:host-gateway \
--name openhands-app-$(date +%Y%m%d%H%M%S) \
docker.all-hands.dev/all-hands-ai/openhands:0.29 \
docker.all-hands.dev/all-hands-ai/openhands:0.21 \
python -m openhands.core.main -t "write a bash script that prints hi" --no-auto-continue
```

View File

@@ -11,16 +11,16 @@
在 Docker 中运行 OpenHands 是最简单的方式。
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik \
-e LOG_ALL_EVENTS=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
--name openhands-app \
docker.all-hands.dev/all-hands-ai/openhands:0.29
docker.all-hands.dev/all-hands-ai/openhands:0.21
```
你也可以在可脚本化的[无头模式](https://docs.all-hands.dev/modules/usage/how-to/headless-mode)下运行 OpenHands作为[交互式 CLI](https://docs.all-hands.dev/modules/usage/how-to/cli-mode),或使用 [OpenHands GitHub Action](https://docs.all-hands.dev/modules/usage/how-to/github-action)。

View File

@@ -42,7 +42,7 @@ OpenHands 是一个**自主 AI 软件工程师**,能够执行复杂的工程
/>
</a>
<br></br>
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2ngejmfw6-9gW4APWOC9XUp1n~SiQ6iw">
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw">
<img
src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge"
alt="Join our Slack community"

View File

@@ -11,7 +11,7 @@
```
docker run # ...
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik \
-v /var/run/docker.sock:/var/run/docker.sock \
# ...
```

View File

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

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@@ -1,33 +0,0 @@
# Cloud GitHub Resolver
The GitHub Resolver automates code fixes and provides intelligent assistance for your repositories.
## Setup
The Cloud GitHub Resolver is available automatically when you
[grant OpenHands Cloud repository access](./openhands-cloud.md#adding-repository-access).
## Usage
After granting OpenHands Cloud repository access, you can use the Cloud GitHub Resolver on the issues and pull requests
on the repository.
### Issues
On your repository, label an issue with `openhands`. OpenHands will:
1. Comment on the issue to let you know it is working on it.
- You can click on the link to track the progress on OpenHands Cloud.
2. Open a pull request if it determines that the issue has been successfully resolved.
3. Comment on the issue with a summary of the performed tasks and a link to the pull request.
### Pull Requests
To get OpenHands to work on pull requests, use `@openhands` in top level or inline comments to:
- Ask questions
- Request updates
- Get code explanations
OpenHands will:
1. Comment on the PR to let you know it is working on it.
2. Perform the task.

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@@ -1,45 +0,0 @@
# Openhands Cloud
OpenHands Cloud is the cloud hosted version of OpenHands by All Hands AI.
## Accessing OpenHands Cloud
Currently, users are being admitted to access OpenHands Cloud in waves. To sign up,
[join the waitlist](https://www.all-hands.dev/join-waitlist). Once you are approved, you will get an email with
instructions on how to access it.
## Getting Started
After visiting OpenHands Cloud, you will be asked to connect with your GitHub account:
1. After reading and accepting the terms of service, click `Connect to GitHub`.
2. Review the permissions requested by OpenHands and then click `Authorize OpenHands AI`.
- OpenHands will require some permissions from your GitHub account. To read more about these permissions,
you can click the `Learn more` link on the GitHub authorize page.
## Repository Access
### Adding Repository Access
You can grant OpenHands specific repository access:
1. Click the `Select a GitHub project` dropdown, select `Add more repositories...`.
2. Select the organization, then choose the specific repositories to grant OpenHands access to.
- Openhands requests short-lived tokens (8-hour expiry) with these permissions:
- Actions: Read and write
- Administration: Read-only
- Commit statuses: Read and write
- Contents: Read and write
- Issues: Read and write
- Metadata: Read-only
- Pull requests: Read and write
- Webhooks: Read and write
- Workflows: Read and write
- Repository access for a user is granted based on:
- Granted permission for the repository.
- User's GitHub permissions (owner/collaborator).
3. Click on `Install & Authorize`.
### Modifying Repository Access
You can modify repository access at any time by:
* Using the same `Select a GitHub project > Add more repositories` workflow, or
* Visiting the Settings page and selecting `Configure GitHub Repositories` under the `GitHub Settings` section.

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@@ -126,7 +126,7 @@ The core configuration options are defined in the `[core]` section of the `confi
- `runtime`
- Type: `str`
- Default: `"docker"`
- Default: `"eventstream"`
- Description: Runtime environment
- `default_agent`
@@ -197,6 +197,21 @@ For development setups, you can also define custom named LLM configurations. See
- Default: `""`
- Description: Custom LLM provider
### Embeddings
- `embedding_base_url`
- Type: `str`
- Default: `""`
- Description: Embedding API base URL
- `embedding_deployment_name`
- Type: `str`
- Default: `""`
- Description: Embedding deployment name
- `embedding_model`
- Type: `str`
- Default: `"local"`
- Description: Embedding model to use
### Message Handling
- `max_message_chars`
@@ -281,6 +296,23 @@ For development setups, you can also define custom named LLM configurations. See
The agent configuration options are defined in the `[agent]` and `[agent.<agent_name>]` sections of the `config.toml` file.
### Microagent Configuration
- `micro_agent_name`
- Type: `str`
- Default: `""`
- Description: Name of the micro agent to use for this agent
### Memory Configuration
- `memory_enabled`
- Type: `bool`
- Default: `false`
- Description: Whether long-term memory (embeddings) is enabled
- `memory_max_threads`
- Type: `int`
- Default: `3`
- Description: The maximum number of threads indexing at the same time for embeddings
### LLM Configuration
- `llm_config`
- Type: `str`
@@ -308,11 +340,6 @@ The agent configuration options are defined in the `[agent]` and `[agent.<agent_
- Default: `false`
- Description: Whether Jupyter is enabled in the action space
- `enable_history_truncation`
- Type: `bool`
- Default: `true`
- Description: Whether history should be truncated to continue the session when hitting LLM context length limit
### Microagent Usage
- `enable_prompt_extensions`
- Type: `bool`
@@ -353,11 +380,6 @@ To use these with the docker command, pass in `-e SANDBOX_<option>`. Example: `-
- Default: `false`
- Description: Use host network
- `runtime_binding_address`
- Type: `str`
- Default: `0.0.0.0`
- Description: The binding address for the runtime ports. It specifies which network interface on the host machine Docker should bind the runtime ports to.
### Linting and Plugins
- `enable_auto_lint`
- Type: `bool`

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@@ -1,24 +0,0 @@
# Repository Customization
You can customize how OpenHands works with your repository by creating a
`.openhands` directory at the root level.
## Microagents
You can use microagents to extend the OpenHands prompts with information
about your project and how you want OpenHands to work. See
[Repository Microagents](../prompting/microagents-repo) for more information.
## Setup Script
You can add `.openhands/setup.sh`, which will be run every time OpenHands begins
working with your repository. This is a good place to install dependencies, set
environment variables, etc.
For example:
```bash
#!/bin/bash
export MY_ENV_VAR="my value"
sudo apt-get update
sudo apt-get install -y lsof
cd frontend && npm install ; cd ..
```

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@@ -36,7 +36,7 @@ At this time, we will follow the following release process:
1. All people who contributed public feedback will receive an email describing the data release and being given an opportunity to opt out.
2. The person or people in charge of the data release will perform quality control of the data, removing low-quality feedback,
removing email submitter email addresses, and attempting to remove any sensitive information.
3. The data will be released publicly under the MIT license through commonly used sites such as GitHub or Hugging Face.
3. The data will be released publicly under the MIT license through commonly used sites such as github or Hugging Face.
### What if I want my data deleted?

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@@ -35,7 +35,7 @@ To run OpenHands in CLI mode with Docker:
```bash
docker run -it \
--pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik \
-e SANDBOX_USER_ID=$(id -u) \
-e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
-e LLM_API_KEY=$LLM_API_KEY \
@@ -45,7 +45,7 @@ docker run -it \
-v ~/.openhands-state:/.openhands-state \
--add-host host.docker.internal:host-gateway \
--name openhands-app-$(date +%Y%m%d%H%M%S) \
docker.all-hands.dev/all-hands-ai/openhands:0.29 \
docker.all-hands.dev/all-hands-ai/openhands:0.21 \
python -m openhands.core.cli
```

View File

@@ -41,16 +41,8 @@ docker build -t custom-image .
This will produce a new image called `custom-image`, which will be available in Docker.
## Using the Docker Command
When running OpenHands using [the docker command](/modules/usage/installation#start-the-app), replace
`-e SANDBOX_RUNTIME_CONTAINER_IMAGE=...` with `-e SANDBOX_BASE_CONTAINER_IMAGE=<custom image name>`:
```commandline
docker run -it --rm --pull=always \
-e SANDBOX_BASE_CONTAINER_IMAGE=custom-image \
...
```
> Note that in the configuration described in this document, OpenHands will run as user "openhands" inside the
> sandbox and thus all packages installed via the docker file should be available to all users on the system, not just root.
## Using the Development Workflow
@@ -60,14 +52,13 @@ First, ensure you can run OpenHands by following the instructions in [Developmen
### Specify the Base Sandbox Image
In the `config.toml` file within the OpenHands directory, set the `base_container_image` to the image you want to use.
In the `config.toml` file within the OpenHands directory, set the `sandbox_base_container_image` to the image you want to use.
This can be an image youve already pulled or one youve built:
```bash
[core]
...
[sandbox]
base_container_image="custom-image"
sandbox_base_container_image="custom-image"
```
### Additional Configuration Options

View File

@@ -1,74 +0,0 @@
---
sidebar_position: 9
---
# Development Overview
This guide provides an overview of the key documentation resources available in the OpenHands repository. Whether you're looking to contribute, understand the architecture, or work on specific components, these resources will help you navigate the codebase effectively.
## Core Documentation
### Project Fundamentals
- **Main Project Overview** (`/README.md`)
The primary entry point for understanding OpenHands, including features and basic setup instructions.
- **Development Guide** (`/Development.md`)
Comprehensive guide for developers working on OpenHands, including setup, requirements, and development workflows.
- **Contributing Guidelines** (`/CONTRIBUTING.md`)
Essential information for contributors, covering code style, PR process, and contribution workflows.
### Component Documentation
#### Frontend
- **Frontend Application** (`/frontend/README.md`)
Complete guide for setting up and developing the React-based frontend application.
#### Backend
- **Backend Implementation** (`/openhands/README.md`)
Detailed documentation of the Python backend implementation and architecture.
- **Server Documentation** (`/openhands/server/README.md`)
Server implementation details, API documentation, and service architecture.
- **Runtime Environment** (`/openhands/runtime/README.md`)
Documentation covering the runtime environment, execution model, and runtime configurations.
#### Infrastructure
- **Container Documentation** (`/containers/README.md`)
Comprehensive information about Docker containers, deployment strategies, and container management.
### Testing and Evaluation
- **Unit Testing Guide** (`/tests/unit/README.md`)
Instructions for writing, running, and maintaining unit tests.
- **Evaluation Framework** (`/evaluation/README.md`)
Documentation for the evaluation framework, benchmarks, and performance testing.
### Advanced Features
- **Microagents Architecture** (`/microagents/README.md`)
Detailed information about the microagents architecture, implementation, and usage.
### Documentation Standards
- **Documentation Style Guide** (`/docs/DOC_STYLE_GUIDE.md`)
Standards and guidelines for writing and maintaining project documentation.
## Getting Started with Development
If you're new to developing with OpenHands, we recommend following this sequence:
1. Start with the main `README.md` to understand the project's purpose and features
2. Review the `CONTRIBUTING.md` guidelines if you plan to contribute
3. Follow the setup instructions in `Development.md`
4. Dive into specific component documentation based on your area of interest:
- Frontend developers should focus on `/frontend/README.md`
- Backend developers should start with `/openhands/README.md`
- Infrastructure work should begin with `/containers/README.md`
## Documentation Updates
When making changes to the codebase, please ensure that:
1. Relevant documentation is updated to reflect your changes
2. New features are documented in the appropriate README files
3. Any API changes are reflected in the server documentation
4. Documentation follows the style guide in `/docs/DOC_STYLE_GUIDE.md`

View File

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

View File

@@ -39,13 +39,12 @@ You can provide custom directions for OpenHands by following the [README for the
### Custom configurations
GitHub resolver will automatically check for valid [repository secrets](https://docs.github.com/en/actions/security-for-github-actions/security-guides/using-secrets-in-github-actions?tool=webui#creating-secrets-for-a-repository) or [repository variables](https://docs.github.com/en/actions/writing-workflows/choosing-what-your-workflow-does/store-information-in-variables#creating-configuration-variables-for-a-repository) to customize its behavior.
Github resolver will automatically check for valid [repository secrets](https://docs.github.com/en/actions/security-for-github-actions/security-guides/using-secrets-in-github-actions?tool=webui#creating-secrets-for-a-repository) or [repository variables](https://docs.github.com/en/actions/writing-workflows/choosing-what-your-workflow-does/store-information-in-variables#creating-configuration-variables-for-a-repository) to customize its behavior.
The customization options you can set are:
| **Attribute name** | **Type** | **Purpose** | **Example** |
| -------------------------------- | -------- | --------------------------------------------------------------------------------------------------- | -------------------------------------------------- |
| `LLM_MODEL` | Variable | Set the LLM to use with OpenHands | `LLM_MODEL="anthropic/claude-3-5-sonnet-20241022"` |
| `OPENHANDS_MAX_ITER` | Variable | Set max limit for agent iterations | `OPENHANDS_MAX_ITER=10` |
| `OPENHANDS_MACRO` | Variable | Customize default macro for invoking the resolver | `OPENHANDS_MACRO=@resolveit` |
| `OPENHANDS_BASE_CONTAINER_IMAGE` | Variable | Custom Sandbox ([learn more](https://docs.all-hands.dev/modules/usage/how-to/custom-sandbox-guide)) | `OPENHANDS_BASE_CONTAINER_IMAGE="custom_image"` |
| `TARGET_BRANCH` | Variable | Merge to branch other than `main` | `TARGET_BRANCH="dev"` |
| **Attribute name** | **Type** | **Purpose** | **Example** |
|----------------------------------| -------- |-------------------------------------------------------------------------------------------------------------|------------------------------------------------------|
| `LLM_MODEL` | Variable | Set the LLM to use with OpenHands | `LLM_MODEL="anthropic/claude-3-5-sonnet-20241022"` |
| `OPENHANDS_MAX_ITER` | Variable | Set max limit for agent iterations | `OPENHANDS_MAX_ITER=10` |
| `OPENHANDS_MACRO` | Variable | Customize default macro for invoking the resolver | `OPENHANDS_MACRO=@resolveit` |
| `OPENHANDS_BASE_CONTAINER_IMAGE` | Variable | Custom Sandbox ([learn more](https://docs.all-hands.dev/modules/usage/how-to/custom-sandbox-guide)) | `OPENHANDS_BASE_CONTAINER_IMAGE="custom_image"` |

View File

@@ -1,109 +1,117 @@
# GUI Mode
OpenHands provides a Graphical User Interface (GUI) mode for interacting with the AI assistant.
## Introduction
OpenHands provides a user-friendly Graphical User Interface (GUI) mode for interacting with the AI assistant.
This mode offers an intuitive way to set up the environment, manage settings, and communicate with the AI.
## Installation and Setup
1. Follow the installation instructions to install OpenHands.
1. Follow the instructions in the [Installation](../installation) guide to install OpenHands.
2. After running the command, access OpenHands at [http://localhost:3000](http://localhost:3000).
## Interacting with the GUI
### Initial Setup
1. Upon first launch, you'll see a settings page.
2. Select an `LLM Provider` and `LLM Model` from the dropdown menus. If the required model does not exist in the list,
toggle `Advanced` options and enter it with the correct prefix in the `Custom Model` text box.
1. Upon first launch, you'll see a settings modal.
2. Select an `LLM Provider` and `LLM Model` from the dropdown menus.
3. Enter the corresponding `API Key` for your chosen provider.
4. Click `Save Changes` to apply the settings.
4. Click "Save" to apply the settings.
### GitHub Token Setup
OpenHands automatically exports a `GITHUB_TOKEN` to the shell environment if it is available. This can happen in two ways:
**Local Installation**: The user directly inputs their GitHub token.
<details>
<summary>Setting Up a GitHub Token</summary>
- **Locally (OSS)**: The user directly inputs their GitHub token.
- **Online (SaaS)**: The token is obtained through GitHub OAuth authentication.
1. **Generate a Personal Access Token (PAT)**:
- On GitHub, go to Settings > Developer Settings > Personal Access Tokens > Tokens (classic).
- **New token (classic)**
- Required scopes:
#### Setting Up a Local GitHub Token
1. **Generate a Personal Access Token (PAT)**:
- Go to GitHub Settings > Developer Settings > Personal Access Tokens > Tokens (classic).
- Click "Generate new token (classic)".
- Required scopes:
- `repo` (Full control of private repositories)
- **Fine-Grained Tokens**
- All Repositories (You can select specific repositories, but this will impact what returns in repo search)
- Minimal Permissions ( Select **Meta Data = Read-only** read for search, **Pull Requests = Read and Write**, **Content = Read and Write** for branch creation)
2. **Enter Token in OpenHands**:
- Click the Settings button (gear icon).
- Navigate to the `GitHub Settings` section.
- Paste your token in the `GitHub Token` field.
- Click `Save Changes` to apply the changes.
</details>
- `workflow` (Update GitHub Action workflows)
- `read:org` (Read organization data)
<details>
<summary>Organizational Token Policies</summary>
2. **Enter Token in OpenHands**:
- Click the Settings button (gear icon) in the top right.
- Navigate to the "GitHub" section.
- Paste your token in the "GitHub Token" field.
- Click "Save" to apply the changes.
If you're working with organizational repositories, additional setup may be required:
#### Organizational Token Policies
1. **Check Organization Requirements**:
If you're working with organizational repositories, additional setup may be required:
1. **Check Organization Requirements**:
- Organization admins may enforce specific token policies.
- Some organizations require tokens to be created with SSO enabled.
- Review your organization's [token policy settings](https://docs.github.com/en/organizations/managing-programmatic-access-to-your-organization/setting-a-personal-access-token-policy-for-your-organization).
2. **Verify Organization Access**:
2. **Verify Organization Access**:
- Go to your token settings on GitHub.
- Look for the organization under `Organization access`.
- If required, click `Enable SSO` next to your organization.
- Look for the organization under "Organization access".
- If required, click "Enable SSO" next to your organization.
- Complete the SSO authorization process.
</details>
<details>
<summary>Troubleshooting</summary>
#### OAuth Authentication (Online Mode)
Common issues and solutions:
When using OpenHands in online mode, the GitHub OAuth flow:
- **Token Not Recognized**:
- Ensure the token is properly saved in settings.
- Check that the token hasn't expired.
- Verify the token has the required scopes.
- Try regenerating the token.
- **Organization Access Denied**:
- Check if SSO is required but not enabled.
- Verify organization membership.
- Contact organization admin if token policies are blocking access.
- **Verifying Token Works**:
- The app will show a green checkmark if the token is valid.
- Try accessing a repository to confirm permissions.
- Check the browser console for any error messages.
</details>
**OpenHands Cloud**: The token is obtained through GitHub OAuth authentication.
<details>
<summary>OAuth Authentication</summary>
When using OpenHands Cloud, the GitHub OAuth flow requests the following permissions:
1. Requests the following permissions:
- Repository access (read/write)
- Workflow management
- Organization read access
To authenticate OpenHands:
- Click `Sign in with GitHub` when prompted.
2. Authentication steps:
- Click "Sign in with GitHub" when prompted.
- Review the requested permissions.
- Authorize OpenHands to access your GitHub account.
- If using an organization, authorize organization access if prompted.
</details>
#### Troubleshooting
Common issues and solutions:
- **Token Not Recognized**:
- Ensure the token is properly saved in settings.
- Check that the token hasn't expired.
- Verify the token has the required scopes.
- Try regenerating the token.
- **Organization Access Denied**:
- Check if SSO is required but not enabled.
- Verify organization membership.
- Contact organization admin if token policies are blocking access.
- **Verifying Token Works**:
- The app will show a green checkmark if the token is valid.
- Try accessing a repository to confirm permissions.
- Check the browser console for any error messages.
- Use the "Test Connection" button in settings if available.
### Advanced Settings
1. Inside the Settings page, toggle `Advanced` options to access additional settings.
1. Toggle `Advanced Options` to access additional settings.
2. Use the `Custom Model` text box to manually enter a model if it's not in the list.
3. Specify a `Base URL` if required by your LLM provider.
### Main Interface
The main interface consists of several key components:
- **Chat Window**: The central area where you can view the conversation history with the AI assistant.
- **Input Box**: Located at the bottom of the screen, use this to type your messages or commands to the AI.
- **Send Button**: Click this to send your message to the AI.
- **Settings Button**: A gear icon that opens the settings modal, allowing you to adjust your configuration at any time.
- **Workspace Panel**: Displays the files and folders in your workspace, allowing you to navigate and view files, or the agent's past commands or web browsing history.
### Interacting with the AI
1. Type your prompt in the input box.
1. Type your question, request, or task description in the input box.
2. Click the send button or press Enter to submit your message.
3. The AI will process your input and provide a response in the chat window.
4. You can continue the conversation by asking follow-up questions or providing additional information.

View File

@@ -32,7 +32,7 @@ To run OpenHands in Headless mode with Docker:
```bash
docker run -it \
--pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik \
-e SANDBOX_USER_ID=$(id -u) \
-e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
-e LLM_API_KEY=$LLM_API_KEY \
@@ -43,7 +43,7 @@ docker run -it \
-v ~/.openhands-state:/.openhands-state \
--add-host host.docker.internal:host-gateway \
--name openhands-app-$(date +%Y%m%d%H%M%S) \
docker.all-hands.dev/all-hands-ai/openhands:0.29 \
docker.all-hands.dev/all-hands-ai/openhands:0.21 \
python -m openhands.core.main -t "write a bash script that prints hi"
```

View File

@@ -6,14 +6,11 @@
- Linux
- Windows with [WSL](https://learn.microsoft.com/en-us/windows/wsl/install) and [Docker Desktop support](https://docs.docker.com/desktop/setup/install/windows-install/#system-requirements)
A system with a modern processor and a minimum of **4GB RAM** is recommended to run OpenHands.
## Prerequisites
<details>
<summary>MacOS</summary>
**Docker Desktop**
### Docker Desktop
1. [Install Docker Desktop on Mac](https://docs.docker.com/desktop/setup/install/mac-install).
2. Open Docker Desktop, go to `Settings > Advanced` and ensure `Allow the default Docker socket to be used` is enabled.
@@ -26,7 +23,7 @@ A system with a modern processor and a minimum of **4GB RAM** is recommended to
Tested with Ubuntu 22.04.
:::
**Docker Desktop**
### Docker Desktop
1. [Install Docker Desktop on Linux](https://docs.docker.com/desktop/setup/install/linux/).
@@ -34,23 +31,18 @@ A system with a modern processor and a minimum of **4GB RAM** is recommended to
<details>
<summary>Windows</summary>
**WSL**
### WSL
1. [Install WSL](https://learn.microsoft.com/en-us/windows/wsl/install).
2. Run `wsl --version` in powershell and confirm `Default Version: 2`.
**Docker Desktop**
### Docker Desktop
1. [Install Docker Desktop on Windows](https://docs.docker.com/desktop/setup/install/windows-install).
2. Open Docker Desktop, go to `Settings` and confirm the following:
- General: `Use the WSL 2 based engine` is enabled.
- Resources > WSL Integration: `Enable integration with my default WSL distro` is enabled.
:::note
The docker command below to start the app must be run inside the WSL terminal.
:::
</details>
## Start the App
@@ -58,17 +50,17 @@ A system with a modern processor and a minimum of **4GB RAM** is recommended to
The easiest way to run OpenHands is in Docker.
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik
docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.29-nikolaik \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik \
-e LOG_ALL_EVENTS=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-v ~/.openhands-state:/.openhands-state \
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
--name openhands-app \
docker.all-hands.dev/all-hands-ai/openhands:0.29
docker.all-hands.dev/all-hands-ai/openhands:0.21
```
You'll find OpenHands running at http://localhost:3000!
@@ -76,26 +68,28 @@ You'll find OpenHands running at http://localhost:3000!
You can also [connect OpenHands to your local filesystem](https://docs.all-hands.dev/modules/usage/runtimes#connecting-to-your-filesystem),
run OpenHands in a scriptable [headless mode](https://docs.all-hands.dev/modules/usage/how-to/headless-mode),
interact with it via a [friendly CLI](https://docs.all-hands.dev/modules/usage/how-to/cli-mode),
or run it on tagged issues with [a GitHub action](https://docs.all-hands.dev/modules/usage/how-to/github-action).
or run it on tagged issues with [a github action](https://docs.all-hands.dev/modules/usage/how-to/github-action).
## Setup
Upon launching OpenHands, you'll see a Settings page. You **must** select an `LLM Provider` and `LLM Model` and enter a corresponding `API Key`.
Upon launching OpenHands, you'll see a settings modal. You **must** select an `LLM Provider` and `LLM Model` and enter a corresponding `API Key`.
These can be changed at any time by selecting the `Settings` button (gear icon) in the UI.
If the required model does not exist in the list, you can toggle `Advanced` options and manually enter it with the correct prefix
If the required `LLM Model` does not exist in the list, you can toggle `Advanced Options` and manually enter it with the correct prefix
in the `Custom Model` text box.
The `Advanced` options also allow you to specify a `Base URL` if required.
The `Advanced Options` also allow you to specify a `Base URL` if required.
Now you're ready to [get started with OpenHands](./getting-started).
<div style={{ display: 'flex', justifyContent: 'center', gap: '20px' }}>
<img src="/img/settings-screenshot.png" alt="settings-modal" width="340" />
<img src="/img/settings-advanced.png" alt="settings-modal" width="335" />
</div>
## Versions
The [docker command above](./installation#start-the-app) pulls the most recent stable release of OpenHands. You have other options as well:
- For a specific release, replace $VERSION in `openhands:$VERSION` and `runtime:$VERSION`, with the version number.
We use SemVer so `0.9` will automatically point to the latest `0.9.x` release, and `0` will point to the latest `0.x.x` release.
- For the most up-to-date development version, replace $VERSION in `openhands:$VERSION` and `runtime:$VERSION`, with `main`.
This version is unstable and is recommended for testing or development purposes only.
The command above pulls the most recent stable release of OpenHands. You have other options as well:
- For a specific release, use `docker.all-hands.dev/all-hands-ai/openhands:$VERSION`, replacing $VERSION with the version number.
- We use semver, and release major, minor, and patch tags. So `0.9` will automatically point to the latest `0.9.x` release, and `0` will point to the latest `0.x.x` release.
- For the most up-to-date development version, you can use `docker.all-hands.dev/all-hands-ai/openhands:main`. This version is unstable and is recommended for testing or development purposes only.
You can choose the tag that best suits your needs based on stability requirements and desired features.

View File

@@ -1,60 +0,0 @@
# OpenHands Feature Overview
![overview](https://www.all-hands.dev/assets/product/product-slide-1.webp)
## 1. Workspace
The Workspace feature provides a comprehensive development environment with the following key capabilities:
- File Explorer: Browse, view, and manage project files and directories
- Project Management: Import, create, and navigate between different projects
- Integrated Development Tools: Seamless integration with various development workflows
- File Operations:
* View file contents
* Create new files and folders
* Upload and download files
* Basic file manipulation
## 2. Jupyter Notebook
The Jupyter Notebook feature offers an interactive coding and data analysis environment:
- Interactive Code Cells: Execute Python code in a cell-based interface
- Input and Output Tracking: Maintain a history of code inputs and their corresponding outputs
- Persistent Session: Preserve code execution context between cells
- Supports various Python operations and data analysis tasks
- Real-time code execution and result visualization
## 3. Browser (Beta)
The Browser feature provides web interaction capabilities:
- Web Page Navigation: Open and browse websites within the application
- Screenshot Capture: Automatically generate screenshots of web pages
- Interaction Tools:
* Click elements
* Fill out forms
* Scroll pages
* Navigate through web content
- Supports 15 different browser interaction functions
## 4. Terminal
The Terminal feature offers a command-line interface within the application:
- Execute Shell Commands: Run bash and system commands
- Command History: Track and recall previous commands
- Environment Interaction: Interact directly with the system's command line
- Support for various programming and system administration tasks
## 5. Chat / AI Conversation
The Chat interface provides an AI-powered conversational experience:
- Interactive AI Assistant: Engage in natural language conversations
- Context-Aware Responses: AI understands and responds to development-related queries
- Action Suggestions: Provides actionable recommendations for tasks
- Conversation Management: Create, delete, and manage different conversation threads
## 6. App (Beta)
The main application interface combines all these features:
- Integrated Workspace: Seamless integration of workspace, browser, terminal, and AI chat
- Configurable Layout: Customize the arrangement of different feature panels
- State Management: Maintain context and state across different features
- Security and Privacy Controls: Manage application settings and permissions
### Additional Notes
- The application is currently in beta, with ongoing improvements and feature additions
- Supports various development workflows and AI-assisted coding
- Designed to enhance developer productivity through integrated tools and AI assistance

View File

@@ -5,7 +5,7 @@ OpenHands uses LiteLLM to make calls to Azure's chat models. You can find their
## Azure OpenAI Configuration
When running OpenHands, you'll need to set the following environment variable using `-e` in the
[docker run command](../installation#running-openhands):
[docker run command](/modules/usage/installation#start-the-app):
```
LLM_API_VERSION="<api-version>" # e.g. "2023-05-15"
@@ -25,17 +25,23 @@ You will need your ChatGPT deployment name which can be found on the deployments
&lt;deployment-name&gt; below.
:::
1. Enable `Advanced` options
1. Enable `Advanced Options`
2. Set the following:
- `Custom Model` to azure/&lt;deployment-name&gt;
- `Base URL` to your Azure API Base URL (e.g. `https://example-endpoint.openai.azure.com`)
- `API Key` to your Azure API key
## Embeddings
OpenHands uses llama-index for embeddings. You can find their documentation on Azure [here](https://docs.llamaindex.ai/en/stable/api_reference/embeddings/azure_openai/).
### Azure OpenAI Configuration
When running OpenHands, set the following environment variable using `-e` in the
[docker run command](../installation#running-openhands):
When running OpenHands, set the following environment variables using `-e` in the
[docker run command](/modules/usage/installation#start-the-app):
```
LLM_EMBEDDING_MODEL="azureopenai"
LLM_EMBEDDING_DEPLOYMENT_NAME="<your-embedding-deployment-name>" # e.g. "TextEmbedding...<etc>"
LLM_API_VERSION="<api-version>" # e.g. "2024-02-15-preview"
```

View File

@@ -10,13 +10,13 @@ OpenHands uses LiteLLM to make calls to Google's chat models. You can find their
When running OpenHands, you'll need to set the following in the OpenHands UI through the Settings:
- `LLM Provider` to `Gemini`
- `LLM Model` to the model you will be using.
If the model is not in the list, toggle `Advanced` options, and enter it in `Custom Model` (e.g. gemini/&lt;model-name&gt; like `gemini/gemini-2.0-flash`).
If the model is not in the list, toggle `Advanced Options`, and enter it in `Custom Model` (e.g. gemini/&lt;model-name&gt; like `gemini/gemini-1.5-pro`).
- `API Key` to your Gemini API key
## VertexAI - Google Cloud Platform Configs
To use Vertex AI through Google Cloud Platform when running OpenHands, you'll need to set the following environment
variables using `-e` in the [docker run command](../installation#running-openhands):
variables using `-e` in the [docker run command](/modules/usage/installation#start-the-app):
```
GOOGLE_APPLICATION_CREDENTIALS="<json-dump-of-gcp-service-account-json>"
@@ -27,4 +27,4 @@ VERTEXAI_LOCATION="<your-gcp-location>"
Then set the following in the OpenHands UI through the Settings:
- `LLM Provider` to `VertexAI`
- `LLM Model` to the model you will be using.
If the model is not in the list, toggle `Advanced` options, and enter it in `Custom Model` (e.g. vertex_ai/&lt;model-name&gt;).
If the model is not in the list, toggle `Advanced Options`, and enter it in `Custom Model` (e.g. vertex_ai/&lt;model-name&gt;).

View File

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

View File

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

View File

@@ -38,10 +38,10 @@ The following can be set in the OpenHands UI through the Settings:
- `LLM Provider`
- `LLM Model`
- `API Key`
- `Base URL` (through `Advanced` settings)
- `Base URL` (through `Advanced Settings`)
There are some settings that may be necessary for some LLMs/providers that cannot be set through the UI. Instead, these
can be set through environment variables passed to the docker run command when starting the app
can be set through environment variables passed to the [docker run command](/modules/usage/installation#start-the-app)
using `-e`:
- `LLM_API_VERSION`
@@ -63,22 +63,22 @@ We have a few guides for running OpenHands with specific model providers:
### API retries and rate limits
LLM providers typically have rate limits, sometimes very low, and may require retries. OpenHands will automatically
retry requests if it receives a Rate Limit Error (429 error code).
retry requests if it receives a Rate Limit Error (429 error code), API connection error, or other transient errors.
You can customize these options as you need for the provider you're using. Check their documentation, and set the
following environment variables to control the number of retries and the time between retries:
- `LLM_NUM_RETRIES` (Default of 4 times)
- `LLM_RETRY_MIN_WAIT` (Default of 5 seconds)
- `LLM_RETRY_MAX_WAIT` (Default of 30 seconds)
- `LLM_NUM_RETRIES` (Default of 8)
- `LLM_RETRY_MIN_WAIT` (Default of 15 seconds)
- `LLM_RETRY_MAX_WAIT` (Default of 120 seconds)
- `LLM_RETRY_MULTIPLIER` (Default of 2)
If you are running OpenHands in development mode, you can also set these options in the `config.toml` file:
```toml
[llm]
num_retries = 4
retry_min_wait = 5
retry_max_wait = 30
num_retries = 8
retry_min_wait = 15
retry_max_wait = 120
retry_multiplier = 2
```

View File

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

View File

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

View File

@@ -1,24 +0,0 @@
# Runtime Configuration
A Runtime is an environment where the OpenHands agent can edit files and run
commands.
By default, OpenHands uses a Docker-based runtime, running on your local computer.
This means you only have to pay for the LLM you're using, and your code is only ever sent to the LLM.
We also support "remote" runtimes, which are typically managed by third-parties.
They can make setup a bit simpler and more scalable, especially
if you're running many OpenHands conversations in parallel (e.g. to do evaluation).
Additionally, we provide a "local" runtime that runs directly on your machine without Docker,
which can be useful in controlled environments like CI pipelines.
## Available Runtimes
OpenHands supports several different runtime environments:
- [Docker Runtime](./runtimes/docker.md) - The default runtime that uses Docker containers for isolation (recommended for most users)
- [OpenHands Remote Runtime](./runtimes/remote.md) - Cloud-based runtime for parallel execution (beta)
- [Modal Runtime](./runtimes/modal.md) - Runtime provided by our partners at Modal
- [Daytona Runtime](./runtimes/daytona.md) - Runtime provided by Daytona
- [Local Runtime](./runtimes/local.md) - Direct execution on your local machine without Docker

View File

@@ -1,8 +1,86 @@
---
title: Runtime Configuration
slug: /usage/runtimes
---
# Runtime Configuration
import { Redirect } from '@docusaurus/router';
A Runtime is an environment where the OpenHands agent can edit files and run
commands.
<Redirect to="/modules/usage/runtimes-index" />
By default, OpenHands uses a Docker-based runtime, running on your local computer.
This means you only have to pay for the LLM you're using, and your code is only ever sent to the LLM.
We also support "remote" runtimes, which are typically managed by third-parties.
They can make setup a bit simpler and more scalable, especially
if you're running many OpenHands conversations in parallel (e.g. to do evaluation).
## Docker Runtime
This is the default Runtime that's used when you start OpenHands. You might notice
some flags being passed to `docker run` that make this possible:
```
docker run # ...
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.21-nikolaik \
-v /var/run/docker.sock:/var/run/docker.sock \
# ...
```
The `SANDBOX_RUNTIME_CONTAINER_IMAGE` from nikolaik is a pre-built runtime image
that contains our Runtime server, as well as some basic utilities for Python and NodeJS.
You can also [build your own runtime image](how-to/custom-sandbox-guide).
### Connecting to Your filesystem
One useful feature here is the ability to connect to your local filesystem. To mount your filesystem into the runtime:
1. Set `WORKSPACE_BASE`:
```bash
export WORKSPACE_BASE=/path/to/your/code
# Linux and Mac Example
# export WORKSPACE_BASE=$HOME/OpenHands
# Will set $WORKSPACE_BASE to /home/<username>/OpenHands
#
# WSL on Windows Example
# export WORKSPACE_BASE=/mnt/c/dev/OpenHands
# Will set $WORKSPACE_BASE to C:\dev\OpenHands
```
2. Add the following options to the `docker run` command:
```bash
docker run # ...
-e SANDBOX_USER_ID=$(id -u) \
-e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
-v $WORKSPACE_BASE:/opt/workspace_base \
# ...
```
Be careful! There's nothing stopping the OpenHands agent from deleting or modifying
any files that are mounted into its workspace.
This setup can cause some issues with file permissions (hence the `SANDBOX_USER_ID` variable)
but seems to work well on most systems.
## All Hands Runtime
The All Hands Runtime is currently in beta. You can request access by joining
the #remote-runtime-limited-beta channel on Slack ([see the README](https://github.com/All-Hands-AI/OpenHands?tab=readme-ov-file#-how-to-join-the-community) for an invite).
To use the All Hands Runtime, set the following environment variables when
starting OpenHands:
```bash
docker run # ...
-e RUNTIME=remote \
-e SANDBOX_REMOTE_RUNTIME_API_URL="https://runtime.app.all-hands.dev" \
-e SANDBOX_API_KEY="your-all-hands-api-key" \
-e SANDBOX_KEEP_RUNTIME_ALIVE="true" \
# ...
```
## Modal Runtime
Our partners at [Modal](https://modal.com/) have also provided a runtime for OpenHands.
To use the Modal Runtime, create an account, and then [create an API key.](https://modal.com/settings)
You'll then need to set the following environment variables when starting OpenHands:
```bash
docker run # ...
-e RUNTIME=modal \
-e MODAL_API_TOKEN_ID="your-id" \
-e MODAL_API_TOKEN_SECRET="your-secret" \
```

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@@ -1,32 +0,0 @@
# Daytona Runtime
You can use [Daytona](https://www.daytona.io/) as a runtime provider:
## Step 1: Retrieve Your Daytona API Key
1. Visit the [Daytona Dashboard](https://app.daytona.io/dashboard/keys).
2. Click **"Create Key"**.
3. Enter a name for your key and confirm the creation.
4. Once the key is generated, copy it.
## Step 2: Set Your API Key as an Environment Variable
Run the following command in your terminal, replacing `<your-api-key>` with the actual key you copied:
```bash
export DAYTONA_API_KEY="<your-api-key>"
```
This step ensures that OpenHands can authenticate with the Daytona platform when it runs.
## Step 3: Run OpenHands Locally Using Docker
To start the latest version of OpenHands on your machine, execute the following command in your terminal:
```bash
bash -i <(curl -sL https://get.daytona.io/openhands)
```
### What This Command Does:
- Downloads the latest OpenHands release script.
- Runs the script in an interactive Bash session.
- Automatically pulls and runs the OpenHands container using Docker.
Once executed, OpenHands should be running locally and ready for use.
For more details and manual initialization, view the entire [README.md](https://github.com/All-Hands-AI/OpenHands/blob/main/openhands/runtime/impl/daytona/README.md)

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@@ -1,88 +0,0 @@
# Docker Runtime
This is the default Runtime that's used when you start OpenHands.
## Image
The `SANDBOX_RUNTIME_CONTAINER_IMAGE` from nikolaik is a pre-built runtime image
that contains our Runtime server, as well as some basic utilities for Python and NodeJS.
You can also [build your own runtime image](../how-to/custom-sandbox-guide).
## Connecting to Your filesystem
One useful feature here is the ability to connect to your local filesystem. To mount your filesystem into the runtime:
1. Set `WORKSPACE_BASE`:
```bash
export WORKSPACE_BASE=/path/to/your/code
# Linux and Mac Example
# export WORKSPACE_BASE=$HOME/OpenHands
# Will set $WORKSPACE_BASE to /home/<username>/OpenHands
#
# WSL on Windows Example
# export WORKSPACE_BASE=/mnt/c/dev/OpenHands
# Will set $WORKSPACE_BASE to C:\dev\OpenHands
```
2. Add the following options to the `docker run` command:
```bash
docker run # ...
-e SANDBOX_USER_ID=$(id -u) \
-e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
-v $WORKSPACE_BASE:/opt/workspace_base \
# ...
```
Be careful! There's nothing stopping the OpenHands agent from deleting or modifying
any files that are mounted into its workspace.
This setup can cause some issues with file permissions (hence the `SANDBOX_USER_ID` variable)
but seems to work well on most systems.
## Hardened Docker Installation
When deploying OpenHands in environments where security is a priority, you should consider implementing a hardened Docker configuration. This section provides recommendations for securing your OpenHands Docker deployment beyond the default configuration.
### Security Considerations
The default Docker configuration in the README is designed for ease of use on a local development machine. If you're running on a public network (e.g. airport WiFi),
you should implement additional security measures.
### Network Binding Security
By default, OpenHands binds to all network interfaces (`0.0.0.0`), which can expose your instance to all networks the host is connected to. For a more secure setup:
1. **Restrict Network Binding**:
Use the `runtime_binding_address` configuration to restrict which network interfaces OpenHands listens on:
```bash
docker run # ...
-e SANDBOX_RUNTIME_BINDING_ADDRESS=127.0.0.1 \
# ...
```
This configuration ensures OpenHands only listens on the loopback interface (`127.0.0.1`), making it accessible only from the local machine.
2. **Secure Port Binding**:
Modify the `-p` flag to bind only to localhost instead of all interfaces:
```bash
docker run # ... \
-p 127.0.0.1:3000:3000 \
```
This ensures that the OpenHands web interface is only accessible from the local machine, not from other machines on the network.
### Network Isolation
Use Docker's network features to isolate OpenHands:
```bash
# Create an isolated network
docker network create openhands-network
# Run OpenHands in the isolated network
docker run # ... \
--network openhands-network \
```

View File

@@ -1,62 +0,0 @@
# Local Runtime
The Local Runtime allows the OpenHands agent to execute actions directly on your local machine without using Docker. This runtime is primarily intended for controlled environments like CI pipelines or testing scenarios where Docker is not available.
:::caution
**Security Warning**: The Local Runtime runs without any sandbox isolation. The agent can directly access and modify files on your machine. Only use this runtime in controlled environments or when you fully understand the security implications.
:::
## Prerequisites
Before using the Local Runtime, ensure that:
1. You have followed the [Development setup instructions](https://github.com/All-Hands-AI/OpenHands/blob/main/Development.md).
2. tmux is available on your system.
## Configuration
To use the Local Runtime, besides required configurations like the model, API key, you'll need to set the following options via environment variables or the [config.toml file](https://github.com/All-Hands-AI/OpenHands/blob/main/config.template.toml) when starting OpenHands:
- Via environment variables:
```bash
# Required
export RUNTIME=local
# Optional but recommended
export WORKSPACE_BASE=/path/to/your/workspace
```
- Via `config.toml`:
```toml
[core]
runtime = "local"
workspace_base = "/path/to/your/workspace"
```
If `WORKSPACE_BASE` is not set, the runtime will create a temporary directory for the agent to work in.
## Example Usage
Here's an example of how to start OpenHands with the Local Runtime in Headless Mode:
```bash
# Set the runtime type to local
export RUNTIME=local
# Optionally set a workspace directory
export WORKSPACE_BASE=/path/to/your/project
# Start OpenHands
poetry run python -m openhands.core.main -t "write a bash script that prints hi"
```
## Use Cases
The Local Runtime is particularly useful for:
- CI/CD pipelines where Docker is not available.
- Testing and development of OpenHands itself.
- Environments where container usage is restricted.
- Scenarios where direct file system access is required.

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@@ -1,13 +0,0 @@
# Modal Runtime
Our partners at [Modal](https://modal.com/) have provided a runtime for OpenHands.
To use the Modal Runtime, create an account, and then [create an API key.](https://modal.com/settings)
You'll then need to set the following environment variables when starting OpenHands:
```bash
docker run # ...
-e RUNTIME=modal \
-e MODAL_API_TOKEN_ID="your-id" \
-e MODAL_API_TOKEN_SECRET="your-secret" \
```

View File

@@ -1,6 +0,0 @@
# OpenHands Remote Runtime
OpenHands Remote Runtime is currently in beta (read [here](https://runtime.all-hands.dev/) for more details), it allows you to launch runtimes in parallel in the cloud.
Fill out [this form](https://docs.google.com/forms/d/e/1FAIpQLSckVz_JFwg2_mOxNZjCtr7aoBFI2Mwdan3f75J_TrdMS1JV2g/viewform) to apply if you want to try this out!
NOTE: This runtime is specifically designed for agent evaluation purposes only through [OpenHands evaluation harness](https://github.com/All-Hands-AI/OpenHands/tree/main/evaluation). It should not be used to launch production OpenHands applications.

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@@ -22,16 +22,16 @@
"@mdx-js/react": "^3.1.0",
"clsx": "^2.0.0",
"prism-react-renderer": "^2.4.1",
"react": "^19.0.0",
"react-dom": "^19.0.0",
"react-icons": "^5.5.0",
"react": "^18.3.1",
"react-dom": "^18.3.1",
"react-icons": "^5.4.0",
"react-use": "^17.6.0"
},
"devDependencies": {
"@docusaurus/module-type-aliases": "^3.5.1",
"@docusaurus/tsconfig": "^3.7.0",
"@docusaurus/types": "^3.5.1",
"typescript": "~5.8.2"
"typescript": "~5.7.2"
},
"browserslist": {
"production": [

View File

@@ -13,11 +13,6 @@ const sidebars: SidebarsConfig = {
label: 'Getting Started',
id: 'usage/getting-started',
},
{
type: 'doc',
label: 'Key Features',
id: 'usage/key-features',
},
{
type: 'category',
label: 'Prompting',
@@ -47,18 +42,7 @@ const sidebars: SidebarsConfig = {
id: 'usage/prompting/microagents-public',
},
],
},
],
},
{
type: 'category',
label: 'Customization',
items: [
{
type: 'doc',
label: 'Repository Customization',
id: 'usage/customization/repository',
},
}
],
},
{
@@ -82,26 +66,9 @@ const sidebars: SidebarsConfig = {
},
{
type: 'doc',
label: 'Github Action',
label: 'Github Actions',
id: 'usage/how-to/github-action',
},
{
type: 'category',
label: 'Cloud',
items: [
{
type: 'doc',
label: 'Openhands Cloud',
id: 'usage/cloud/openhands-cloud',
},
{
type: 'doc',
label: 'Cloud GitHub Resolver',
id: 'usage/cloud/cloud-github-resolver',
},
],
},
],
},
{
@@ -156,40 +123,9 @@ const sidebars: SidebarsConfig = {
],
},
{
type: 'category',
type: 'doc',
label: 'Runtime Configuration',
items: [
{
type: 'doc',
label: 'Overview',
id: 'usage/runtimes-index',
},
{
type: 'doc',
label: 'Docker Runtime',
id: 'usage/runtimes/docker',
},
{
type: 'doc',
label: 'Remote Runtime',
id: 'usage/runtimes/remote',
},
{
type: 'doc',
label: 'Modal Runtime',
id: 'usage/runtimes/modal',
},
{
type: 'doc',
label: 'Daytona Runtime',
id: 'usage/runtimes/daytona',
},
{
type: 'doc',
label: 'Local Runtime',
id: 'usage/runtimes/local',
},
],
id: 'usage/runtimes',
},
{
type: 'doc',
@@ -217,11 +153,6 @@ const sidebars: SidebarsConfig = {
type: 'category',
label: 'For OpenHands Developers',
items: [
{
type: 'doc',
label: 'Development Overview',
id: 'usage/how-to/development-overview',
},
{
type: 'category',
label: 'Architecture',
@@ -254,7 +185,7 @@ const sidebars: SidebarsConfig = {
type: 'doc',
label: 'About',
id: 'usage/about',
},
}
],
};

View File

@@ -8,7 +8,7 @@ function CustomFooter() {
<footer className="custom-footer">
<div className="footer-content">
<div className="footer-icons">
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2ngejmfw6-9gW4APWOC9XUp1n~SiQ6iw" target="_blank" rel="noopener noreferrer">
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw" target="_blank" rel="noopener noreferrer">
<FaSlack />
</a>
<a href="https://discord.gg/ESHStjSjD4" target="_blank" rel="noopener noreferrer">

View File

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

View File

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

View File

@@ -17,44 +17,22 @@ export function HomepageHeader() {
<p className="header-subtitle">{siteConfig.tagline}</p>
<div style={{
textAlign: 'center',
fontSize: '1.2rem',
maxWidth: '800px',
margin: '0 auto',
padding: '0rem 0rem 1rem'
}}>
<p style={{ margin: '0' }}>
<Translate>
Use AI to tackle the toil in your backlog. Our agents have all the same tools as a human developer: they can modify code, run commands, browse the web,
call APIs, and yes-even copy code snippets from StackOverflow.
</Translate>
<br/>
<Link to="/modules/usage/installation"
style={{
textDecoration: 'underline',
display: 'inline-block',
marginTop: '0.5rem'
}}
>
<Translate>Get started with OpenHands.</Translate>
</Link>
</p>
</div>
<div align="center" className="header-links">
<a href="https://github.com/All-Hands-AI/OpenHands/graphs/contributors"><img src="https://img.shields.io/github/contributors/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Contributors" /></a>
<a href="https://github.com/All-Hands-AI/OpenHands/stargazers"><img src="https://img.shields.io/github/stars/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Stargazers" /></a>
<a href="https://codecov.io/github/All-Hands-AI/OpenHands?branch=main"><img alt="CodeCov" src="https://img.shields.io/codecov/c/github/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" /></a>
<a href="https://github.com/All-Hands-AI/OpenHands/blob/main/LICENSE"><img src="https://img.shields.io/github/license/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="MIT License" /></a>
<br/>
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2ngejmfw6-9gW4APWOC9XUp1n~SiQ6iw"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="Join our Slack community" /></a>
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2wkh4pklz-w~h_DVDtEe9H5kyQlcNxVw"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="Join our Slack community" /></a>
<a href="https://discord.gg/ESHStjSjD4"><img src="https://img.shields.io/badge/Discord-Join%20Us-purple?logo=discord&logoColor=white&style=for-the-badge" alt="Join our Discord community" /></a>
<a href="https://github.com/All-Hands-AI/OpenHands/blob/main/CREDITS.md"><img src="https://img.shields.io/badge/Project-Credits-blue?style=for-the-badge&color=FFE165&logo=github&logoColor=white" alt="Credits" /></a>
<br/>
<a href="https://docs.all-hands.dev/modules/usage/getting-started"><img src="https://img.shields.io/badge/Documentation-000?logo=googledocs&logoColor=FFE165&style=for-the-badge" alt="Check out the documentation" /></a>
<a href="https://arxiv.org/abs/2407.16741"><img src="https://img.shields.io/badge/Paper%20on%20Arxiv-000?logoColor=FFE165&logo=arxiv&style=for-the-badge" alt="Paper on Arxiv" /></a>
<a href="https://huggingface.co/spaces/OpenHands/evaluation"><img src="https://img.shields.io/badge/Benchmark%20score-000?logoColor=FFE165&logo=huggingface&style=for-the-badge" alt="Evaluation Benchmark Score" /></a>
</div>
<Demo />
</div>
</div>
);

View File

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

View File

@@ -2,9 +2,15 @@ import useDocusaurusContext from '@docusaurus/useDocusaurusContext';
import Layout from '@theme/Layout';
import { HomepageHeader } from '../components/HomepageHeader/HomepageHeader';
import { translate } from '@docusaurus/Translate';
import Translate from '@docusaurus/Translate';
import Link from '@docusaurus/Link';
import { Demo } from "../components/Demo/Demo";
export function Header({ title, summary }): JSX.Element {
return (
<div>
<h1>{title}</h1>
<h2 style={{ fontSize: '3rem' }}>{summary}</h2>
</div>
);
}
export default function Home(): JSX.Element {
const { siteConfig } = useDocusaurusContext();
@@ -17,36 +23,6 @@ export default function Home(): JSX.Element {
})}
>
<HomepageHeader />
<div style={{ textAlign: 'center', padding: '1rem 0' }}>
<Demo />
</div>
<div style={{ textAlign: 'center', padding: '0.5rem 2rem 1.5rem' }}>
<h2><Translate>Most Popular Links</Translate></h2>
<ul style={{ listStyleType: 'none'}}>
<li>
<Link to="/modules/usage/prompting/microagents-repo">
<Translate>Customizing OpenHands to a repository</Translate>
</Link>
</li>
<li>
<Link to="/modules/usage/how-to/github-action">
<Translate>Integrating OpenHands with Github</Translate>
</Link>
</li>
<li>
<Link to="/modules/usage/llms#model-recommendations">
<Translate>Recommended models to use</Translate>
</Link>
</li>
<li>
<Link to="/modules/usage/runtimes#connecting-to-your-filesystem">
<Translate>Connecting OpenHands to your filesystem</Translate>
</Link>
</li>
</ul>
</div>
</Layout>
);
}

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

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