Compare commits

..

25 Commits

Author SHA1 Message Date
Xingyao Wang
a4af937dc4 stop printing 2024-05-28 23:01:35 +08:00
Xingyao Wang
95eb048672 allow specifying max iter in cmdline script 2024-05-28 22:42:30 +08:00
Xingyao Wang
832a82867f fix issue for CodeActSWEAgent 2024-05-28 22:26:49 +08:00
Xingyao Wang
3eaa6fbcbb add codeact swe agent 2024-05-28 22:25:56 +08:00
Xingyao Wang
e699f21f19 update max iter 2024-05-28 22:20:12 +08:00
Xingyao Wang
368f0b9434 update README 2024-05-28 22:00:41 +08:00
Xingyao Wang
a27b0bb748 revert instructions for run infer 2024-05-28 21:57:47 +08:00
Xingyao Wang
a9dc3ce6f3 revert instructions for run infer 2024-05-28 21:56:06 +08:00
Xingyao Wang
a98f15ae95 revert changes to codeact 2024-05-28 20:36:32 +08:00
Xingyao Wang
fa97e57360 revert changes from codeact agent and create new CodeActSWEAgent 2024-05-28 20:33:22 +08:00
Xingyao Wang
cb23bdbf62 default to 50 turns 2024-05-28 12:51:29 +08:00
Xingyao Wang
a36f6f5d33 update hint string 2024-05-28 12:45:05 +08:00
Xingyao Wang
6e2736f46b improve git get patch 2024-05-28 11:42:28 +08:00
Xingyao Wang
851df736b9 update prompt 2024-05-28 10:51:18 +08:00
Xingyao Wang
604c8d9888 update edit error message 2024-05-28 01:43:32 +08:00
Xingyao Wang
c2a284fde2 change cwd for jupyter if needed 2024-05-28 01:36:21 +08:00
Xingyao Wang
7783c10f82 update error message to include current file info 2024-05-28 01:13:40 +08:00
Xingyao Wang
deef10b43e change prompt to abs path 2024-05-28 01:09:25 +08:00
Xingyao Wang
2a1cc9a089 remove extra print 2024-05-28 01:07:21 +08:00
Xingyao Wang
4f853e79cf also log in_context_example to run infer 2024-05-28 00:53:33 +08:00
Xingyao Wang
4aeb002901 add icl for swebench 2024-05-28 00:48:24 +08:00
Xingyao Wang
80c0a33c6b fix cwd 2024-05-28 00:48:17 +08:00
Xingyao Wang
1e58a12dbf update infer prompt 2024-05-28 00:45:27 +08:00
Xingyao Wang
8ec58d2618 upgrade agentskills and update testcases 2024-05-28 00:43:17 +08:00
Xingyao Wang
e9d788959d update swe_bench prompt;
use minimal prompt for codeact;
2024-05-27 23:44:25 +08:00
1131 changed files with 39712 additions and 104620 deletions

View File

@@ -1 +0,0 @@
The files in this directory configure a development container for GitHub Codespaces.

View File

@@ -1,15 +0,0 @@
{
"name": "OpenHands Codespaces",
"image": "mcr.microsoft.com/devcontainers/universal",
"customizations":{
"vscode":{
"extensions": [
"ms-python.python"
]
}
},
"onCreateCommand": "sh ./.devcontainer/on_create.sh",
"postCreateCommand": "make build",
"postStartCommand": "USE_HOST_NETWORK=True nohup bash -c 'make run &'"
}

View File

@@ -1,6 +0,0 @@
#!/usr/bin/env bash
sudo apt update
sudo apt install -y netcat
sudo add-apt-repository -y ppa:deadsnakes/ppa
sudo apt install -y python3.12
curl -sSL https://install.python-poetry.org | python3.12 -

View File

@@ -1,9 +1,6 @@
codecov:
notify:
wait_for_ci: true
# our project is large, so 6 builds are typically uploaded. this waits till 5/6
# See https://docs.codecov.com/docs/notifications#section-preventing-notifications-until-after-n-builds
after_n_builds: 5
coverage:
status:
@@ -17,3 +14,6 @@ coverage:
comment: false
github_checks:
annotations: false
ignore:
- "agenthub/SWE_agent/**" # SWE agent is deprecated

View File

@@ -1,61 +1,75 @@
name: Bug
description: Report a problem with OpenHands
description: Report a problem with OpenDevin
title: '[Bug]: '
labels: ['bug']
body:
- type: markdown
attributes:
value: Thank you for taking the time to fill out this bug report. Please provide as much information as possible to help us understand and address the issue effectively.
value: Thank you for taking the time to fill out this bug report. We greatly appreciate your effort to complete this template fully. Please provide as much information as possible to help us understand and address the issue effectively.
- type: checkboxes
attributes:
label: Is there an existing issue for the same bug?
description: Please check if an issue already exists for the bug you encountered.
options:
- label: I have checked the troubleshooting document at https://opendevin.github.io/OpenDevin/modules/usage/troubleshooting
required: true
- label: I have checked the existing issues.
required: true
- type: textarea
id: bug-description
attributes:
label: Describe the bug and reproduction steps
description: Provide a description of the issue along with any reproduction steps.
label: Describe the bug
description: Provide a short description of the problem.
validations:
required: true
- type: dropdown
id: installation
- type: textarea
id: current-version
attributes:
label: OpenHands Installation
description: How are you running OpenHands?
options:
- Docker command in README
- Development workflow
- app.all-hands.dev
- Other
default: 0
label: Current OpenDevin version
description: What version of OpenDevin are you using? If you're running in docker, tell us the tag you're using (e.g. ghcr.io/opendevin/opendevin:0.3.1).
render: bash
validations:
required: true
- type: input
id: openhands-version
- type: textarea
id: config
attributes:
label: OpenHands Version
description: What version of OpenHands are you using?
placeholder: ex. 0.9.8, main, etc.
label: Installation and Configuration
description: Please provide any commands you ran and any configuration (redacting API keys)
render: bash
validations:
required: true
- type: dropdown
id: os
- type: textarea
id: model-agent
attributes:
label: Model and Agent
description: What model and agent are you using? You can see these settings in the UI by clicking the settings wheel.
placeholder: |
- Model:
- Agent:
- type: textarea
id: os-version
attributes:
label: Operating System
options:
- MacOS
- Linux
- WSL on Windows
description: What Operating System are you using? Linux, Mac OS, WSL on Windows
- type: textarea
id: repro-steps
attributes:
label: Reproduction Steps
description: Please list the steps to reproduce the issue.
placeholder: |
1.
2.
3.
- type: textarea
id: additional-context
attributes:
label: Logs, Errors, Screenshots, and Additional Context
description: Please provide any additional information you think might help. If you want to share the chat history
you can click the thumbs-down (👎) button above the input field and you will get a shareable link
(you can also click thumbs up when things are going well of course!). LLM logs will be stored in the
`logs/llm/default` folder. Please add any additional context about the problem here.
description: LLM logs will be stored in the `logs/llm/default` folder. Please add any additional context about the problem here.

View File

@@ -1,6 +1,6 @@
---
name: Feature Request
about: Suggest an idea for OpenHands features
about: Suggest an idea for OpenDevin features
title: ''
labels: 'enhancement'
assignees: ''

16
.github/ISSUE_TEMPLATE/question.md vendored Normal file
View File

@@ -0,0 +1,16 @@
---
name: Question
about: Use this template to ask a question regarding the project.
title: ''
labels: question
assignees: ''
---
## Describe your question
<!--A clear and concise description of what you want to know.-->
## Additional context
<!--Add any other context about the question here, like what you've tried so far.-->

View File

@@ -1,69 +1,15 @@
# To get started with Dependabot version updates, you'll need to specify which
# package ecosystems to update and where the package manifests are located.
# Please see the documentation for all configuration options:
# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file
version: 2
updates:
- package-ecosystem: "pip"
directory: "/"
- package-ecosystem: "pip" # See documentation for possible values
directory: "/" # Location of package manifests
schedule:
interval: "daily"
open-pull-requests-limit: 1
groups:
# put packages in their own group if they have a history of breaking the build or needing to be reverted
pre-commit:
patterns:
- "pre-commit"
llama:
patterns:
- "llama*"
chromadb:
patterns:
- "chromadb"
security-all:
applies-to: "security-updates"
patterns:
- "*"
version-all:
applies-to: "version-updates"
patterns:
- "*"
- package-ecosystem: "npm"
directory: "/frontend"
- package-ecosystem: "npm" # See documentation for possible values
directory: "/frontend" # Location of package manifests
schedule:
interval: "daily"
open-pull-requests-limit: 1
groups:
docusaurus:
patterns:
- "*docusaurus*"
eslint:
patterns:
- "*eslint*"
security-all:
applies-to: "security-updates"
patterns:
- "*"
version-all:
applies-to: "version-updates"
patterns:
- "*"
- package-ecosystem: "npm"
directory: "/docs"
schedule:
interval: "weekly"
day: "wednesday"
open-pull-requests-limit: 1
groups:
docusaurus:
patterns:
- "*docusaurus*"
eslint:
patterns:
- "*eslint*"
security-all:
applies-to: "security-updates"
patterns:
- "*"
version-all:
applies-to: "version-updates"
patterns:
- "*"

View File

@@ -1,11 +0,0 @@
**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**
---
**Link of any specific issues this addresses**

View File

@@ -1,69 +0,0 @@
# Workflow that cleans up outdated and old workflows to prevent out of disk issues
name: Delete old workflow runs
# This workflow is currently only triggered manually
on:
workflow_dispatch:
inputs:
days:
description: 'Days-worth of runs to keep for each workflow'
required: true
default: '30'
minimum_runs:
description: 'Minimum runs to keep for each workflow'
required: true
default: '10'
delete_workflow_pattern:
description: 'Name or filename of the workflow (if not set, all workflows are targeted)'
required: false
delete_workflow_by_state_pattern:
description: 'Filter workflows by state: active, deleted, disabled_fork, disabled_inactivity, disabled_manually'
required: true
default: "ALL"
type: choice
options:
- "ALL"
- active
- deleted
- disabled_inactivity
- disabled_manually
delete_run_by_conclusion_pattern:
description: 'Remove runs based on conclusion: action_required, cancelled, failure, skipped, success'
required: true
default: 'ALL'
type: choice
options:
- 'ALL'
- 'Unsuccessful: action_required,cancelled,failure,skipped'
- action_required
- cancelled
- failure
- skipped
- success
dry_run:
description: 'Logs simulated changes, no deletions are performed'
required: false
jobs:
del_runs:
runs-on: ubuntu-latest
permissions:
actions: write
contents: read
steps:
- name: Delete workflow runs
uses: Mattraks/delete-workflow-runs@v2
with:
token: ${{ github.token }}
repository: ${{ github.repository }}
retain_days: ${{ github.event.inputs.days }}
keep_minimum_runs: ${{ github.event.inputs.minimum_runs }}
delete_workflow_pattern: ${{ github.event.inputs.delete_workflow_pattern }}
delete_workflow_by_state_pattern: ${{ github.event.inputs.delete_workflow_by_state_pattern }}
delete_run_by_conclusion_pattern: >-
${{
startsWith(github.event.inputs.delete_run_by_conclusion_pattern, 'Unsuccessful:')
&& 'action_required,cancelled,failure,skipped'
|| github.event.inputs.delete_run_by_conclusion_pattern
}}
dry_run: ${{ github.event.inputs.dry_run }}

View File

@@ -1,30 +1,18 @@
# Workflow that builds and deploys the documentation website
name: Deploy Docs to GitHub Pages
# * Always run on "main"
# * Run on PRs that target the "main" branch and have changes in the "docs" folder or this workflow
on:
push:
branches:
- main
pull_request:
paths:
- 'docs/**'
- '.github/workflows/deploy-docs.yml'
branches:
- main
# If triggered by a PR, it will be in the same group. However, each commit on main will be in its own unique group
concurrency:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
jobs:
# Build the documentation website
build:
if: github.repository == 'All-Hands-AI/OpenHands'
name: Build Docusaurus
runs-on: ubuntu-latest
if: github.repository == 'OpenDevin/OpenDevin'
steps:
- uses: actions/checkout@v4
with:
@@ -37,29 +25,25 @@ jobs:
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
python-version: "3.11"
- 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
run: cd docs && npm run build
- name: Upload Build Artifact
if: github.ref == 'refs/heads/main'
uses: actions/upload-pages-artifact@v3
with:
path: docs/build
# Deploy the documentation website
deploy:
if: github.ref == 'refs/heads/main' && github.repository == 'All-Hands-AI/OpenHands'
name: Deploy to GitHub Pages
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:
group: ${{ github.workflow }}-${{ github.ref }}
needs: build
if: github.ref == 'refs/heads/main' && github.repository == 'OpenDevin/OpenDevin'
# Grant GITHUB_TOKEN the permissions required to make a Pages deployment
permissions:
pages: write # to deploy to Pages
@@ -68,6 +52,7 @@ jobs:
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
runs-on: ubuntu-latest
steps:
- name: Deploy to GitHub Pages
id: deployment

View File

@@ -1,61 +1,30 @@
# Workflow that uses the DummyAgent to run a simple task
name: Run E2E test with dummy agent
name: Run e2e test with dummy agent
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
# Always run on "main"
# Always run on PRs
on:
push:
branches:
- main
pull_request:
# If triggered by a PR, it will be in the same group. However, each commit on main will be in its own unique group
concurrency:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
jobs:
test:
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 poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
cache: 'poetry'
- name: Install Python dependencies using Poetry
run: poetry install --without evaluation,llama-index
- name: Build Environment
run: make build
python-version: '3.11'
- name: Set up environment
run: |
curl -sSL https://install.python-poetry.org | python3 -
poetry install --without evaluation
poetry run playwright install --with-deps chromium
wget https://huggingface.co/BAAI/bge-small-en-v1.5/raw/main/1_Pooling/config.json -P /tmp/llama_index/models--BAAI--bge-small-en-v1.5/snapshots/5c38ec7c405ec4b44b94cc5a9bb96e735b38267a/1_Pooling/
- name: Run tests
run: |
set -e
SANDBOX_FORCE_REBUILD_RUNTIME=True poetry run python3 openhands/core/main.py -t "do a flip" -d ./workspace/ -c DummyAgent
- name: Check exit code
run: |
if [ $? -ne 0 ]; then
echo "Test failed"
exit 1
else
echo "Test passed"
fi
poetry run python opendevin/core/main.py -t "do a flip" -m ollama/not-a-model -d ./workspace/ -c DummyAgent

View File

@@ -1,160 +0,0 @@
name: Run Evaluation
on:
pull_request:
types: [labeled]
schedule:
- cron: "0 1 * * *" # Run daily at 1 AM UTC
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 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 integration test 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/integration_tests/scripts/run_infer.sh llm.eval HEAD CodeActAgent '' $N_PROCESSES
# get evaluation report
REPORT_FILE=$(find evaluation/evaluation_outputs/outputs/integration_tests/CodeActAgent/deepseek-chat_maxiter_10_N* -name "report.md" -type f | head -n 1)
echo "REPORT_FILE: $REPORT_FILE"
echo "INTEGRATION_TEST_REPORT<<EOF" >> $GITHUB_ENV
cat $REPORT_FILE >> $GITHUB_ENV
echo >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
- 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/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/swe_bench/scripts/eval_infer_remote.sh $OUTPUT_FOLDER/output.jsonl $N_PROCESSES "princeton-nlp/SWE-bench_Lite" test
poetry run ./evaluation/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 }}
---
**Integration Tests Evaluation Report**
${{ env.INTEGRATION_TEST_REPORT }}
---
You can download the full evaluation outputs [here](${{ env.ARTIFACT_URL }}).
- name: Post to a Slack channel
id: slack
uses: slackapi/slack-github-action@v1.27.0
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

@@ -1,44 +0,0 @@
# Workflow that runs frontend unit tests
name: Run Frontend Unit Tests
# * Always run on "main"
# * Run on PRs that have changes in the "frontend" folder or this workflow
on:
push:
branches:
- main
pull_request:
paths:
- 'frontend/**'
- '.github/workflows/fe-unit-tests.yml'
# If triggered by a PR, it will be in the same group. However, each commit on main will be in its own unique group
concurrency:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
jobs:
# Run frontend unit tests
fe-test:
name: FE Unit Tests
runs-on: ubuntu-latest
strategy:
matrix:
node-version: [20]
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: ${{ matrix.node-version }}
- name: Install dependencies
working-directory: ./frontend
run: npm ci
- name: Run tests and collect coverage
working-directory: ./frontend
run: npm run test:coverage
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

View File

@@ -1,447 +0,0 @@
# Workflow that builds, tests and then pushes the OpenHands and runtime docker images to the ghcr.io repository
name: Docker
# Always run on "main"
# Always run on tags
# Always run on PRs
# Can also be triggered manually
on:
push:
branches:
- main
tags:
- '*'
pull_request:
workflow_dispatch:
inputs:
reason:
description: 'Reason for manual trigger'
required: true
default: ''
# If triggered by a PR, it will be in the same group. However, each commit on main will be in its own unique group
concurrency:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
env:
BASE_IMAGE_FOR_HASH_EQUIVALENCE_TEST: nikolaik/python-nodejs:python3.12-nodejs22
RELEVANT_SHA: ${{ github.event.pull_request.head.sha || github.sha }}
jobs:
# Builds the OpenHands Docker images
ghcr_build_app:
name: Build App Image
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
outputs:
hash_from_app_image: ${{ steps.get_hash_in_app_image.outputs.hash_from_app_image }}
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Free Disk Space (Ubuntu)
uses: jlumbroso/free-disk-space@main
with:
# this might remove tools that are actually needed,
# if set to "true" but frees about 6 GB
tool-cache: true
# all of these default to true, but feel free to set to
# "false" if necessary for your workflow
android: true
dotnet: true
haskell: true
large-packages: true
docker-images: false
swap-storage: true
- name: Set up QEMU
uses: docker/setup-qemu-action@v3.0.0
with:
image: tonistiigi/binfmt:latest
- name: Login to GHCR
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Build and push app image
if: "!github.event.pull_request.head.repo.fork"
run: |
./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 ${{ github.repository_owner }} --load
- name: Get hash in App Image
id: get_hash_in_app_image
run: |
# Lowercase the repository owner
export REPO_OWNER=${{ github.repository_owner }}
REPO_OWNER=$(echo $REPO_OWNER | tr '[:upper:]' '[:lower:]')
# Run the build script in the app image
docker run -e SANDBOX_USER_ID=0 -v /var/run/docker.sock:/var/run/docker.sock ghcr.io/${REPO_OWNER}/openhands:${{ env.RELEVANT_SHA }} /bin/bash -c "mkdir -p containers/runtime; python3 openhands/runtime/utils/runtime_build.py --base_image ${{ env.BASE_IMAGE_FOR_HASH_EQUIVALENCE_TEST }} --build_folder containers/runtime --force_rebuild" 2>&1 | tee docker-outputs.txt
# Get the hash from the build script
hash_from_app_image=$(cat docker-outputs.txt | grep "Hash for docker build directory" | awk -F "): " '{print $2}' | uniq | head -n1)
echo "hash_from_app_image=$hash_from_app_image" >> $GITHUB_OUTPUT
echo "Hash from app image: $hash_from_app_image"
# Builds the runtime Docker images
ghcr_build_runtime:
name: Build Image
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
strategy:
matrix:
base_image:
- image: 'nikolaik/python-nodejs:python3.12-nodejs22'
tag: nikolaik
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Free Disk Space (Ubuntu)
uses: jlumbroso/free-disk-space@main
with:
# this might remove tools that are actually needed,
# if set to "true" but frees about 6 GB
tool-cache: true
# all of these default to true, but feel free to set to
# "false" if necessary for your workflow
android: true
dotnet: true
haskell: true
large-packages: true
docker-images: false
swap-storage: true
- name: Set up QEMU
uses: docker/setup-qemu-action@v3.0.0
with:
image: tonistiigi/binfmt:latest
- name: Login to GHCR
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- 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 poetry via pipx
run: pipx install poetry
- name: Install Python dependencies using Poetry
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: 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 ${{ 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 ${{ matrix.base_image.image }} for fork
if: github.event.pull_request.head.repo.fork
uses: docker/build-push-action@v6
with:
tags: ghcr.io/all-hands-ai/runtime:${{ 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
if: github.event.pull_request.head.repo.fork
uses: actions/upload-artifact@v4
with:
name: runtime-${{ matrix.base_image.tag }}
path: /tmp/runtime-${{ matrix.base_image.tag }}.tar
verify_hash_equivalence_in_runtime_and_app:
name: Verify Hash Equivalence in Runtime and Docker images
runs-on: ubuntu-latest
needs: [ghcr_build_runtime, ghcr_build_app]
strategy:
fail-fast: false
matrix:
base_image: ['nikolaik']
steps:
- uses: actions/checkout@v4
- name: Cache Poetry dependencies
uses: actions/cache@v4
with:
path: |
~/.cache/pypoetry
~/.virtualenvs
key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
restore-keys: |
${{ runner.os }}-poetry-
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Install poetry via pipx
run: pipx install poetry
- name: Install Python dependencies using Poetry
run: make install-python-dependencies
- name: Get hash in App Image
run: |
echo "Hash from app image: ${{ needs.ghcr_build_app.outputs.hash_from_app_image }}"
echo "hash_from_app_image=${{ needs.ghcr_build_app.outputs.hash_from_app_image }}" >> $GITHUB_ENV
- name: Get hash using code (development mode)
run: |
mkdir -p containers/runtime
poetry run python3 openhands/runtime/utils/runtime_build.py --base_image ${{ env.BASE_IMAGE_FOR_HASH_EQUIVALENCE_TEST }} --build_folder containers/runtime --force_rebuild > output.txt 2>&1
hash_from_code=$(cat output.txt | grep "Hash for docker build directory" | awk -F "): " '{print $2}' | uniq | head -n1)
echo "hash_from_code=$hash_from_code" >> $GITHUB_ENV
- name: Compare hashes
run: |
echo "Hash from App Image: ${{ env.hash_from_app_image }}"
echo "Hash from Code: ${{ env.hash_from_code }}"
if [ "${{ env.hash_from_app_image }}" = "${{ env.hash_from_code }}" ]; then
echo "Hashes match!"
else
echo "Hashes do not match!"
exit 1
fi
# Run unit tests with the EventStream runtime Docker images as root
test_runtime_root:
name: RT Unit Tests (Root)
needs: [ghcr_build_runtime]
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
base_image: ['nikolaik']
steps:
- uses: actions/checkout@v4
- name: Free Disk Space (Ubuntu)
uses: jlumbroso/free-disk-space@main
with:
# this might remove tools that are actually needed,
# if set to "true" but frees about 6 GB
tool-cache: true
# all of these default to true, but feel free to set to
# "false" if necessary for your workflow
android: true
dotnet: true
haskell: true
large-packages: true
docker-images: false
swap-storage: true
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
# Forked repos can't push to GHCR, so we need to download the image as an artifact
- name: Download runtime image for fork
if: github.event.pull_request.head.repo.fork
uses: actions/download-artifact@v4
with:
name: runtime-${{ matrix.base_image }}
path: /tmp
- name: Load runtime image for fork
if: github.event.pull_request.head.repo.fork
run: |
docker load --input /tmp/runtime-${{ matrix.base_image }}.tar
- name: Cache Poetry dependencies
uses: actions/cache@v4
with:
path: |
~/.cache/pypoetry
~/.virtualenvs
key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
restore-keys: |
${{ runner.os }}-poetry-
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Install poetry via pipx
run: pipx install poetry
- name: Install Python dependencies using Poetry
run: make install-python-dependencies
- name: Run runtime tests
run: |
# We install pytest-xdist in order to run tests across CPUs
poetry run pip install pytest-xdist
# Install to be able to retry on failures for flaky tests
poetry run pip install pytest-rerunfailures
image_name=ghcr.io/${{ github.repository_owner }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image }}
image_name=$(echo $image_name | tr '[:upper:]' '[:lower:]')
SKIP_CONTAINER_LOGS=true \
TEST_RUNTIME=eventstream \
SANDBOX_USER_ID=$(id -u) \
SANDBOX_RUNTIME_CONTAINER_IMAGE=$image_name \
TEST_IN_CI=true \
RUN_AS_OPENHANDS=false \
poetry run pytest -n 3 -raRs --reruns 2 --reruns-delay 5 --cov=openhands --cov-report=xml -s ./tests/runtime
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
# Run unit tests with the EventStream runtime Docker images as openhands user
test_runtime_oh:
name: RT Unit Tests (openhands)
runs-on: ubuntu-latest
needs: [ghcr_build_runtime]
strategy:
matrix:
base_image: ['nikolaik']
steps:
- uses: actions/checkout@v4
- name: Free Disk Space (Ubuntu)
uses: jlumbroso/free-disk-space@main
with:
# this might remove tools that are actually needed,
# if set to "true" but frees about 6 GB
tool-cache: true
# all of these default to true, but feel free to set to
# "false" if necessary for your workflow
android: true
dotnet: true
haskell: true
large-packages: true
docker-images: false
swap-storage: true
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
# Forked repos can't push to GHCR, so we need to download the image as an artifact
- name: Download runtime image for fork
if: github.event.pull_request.head.repo.fork
uses: actions/download-artifact@v4
with:
name: runtime-${{ matrix.base_image }}
path: /tmp
- name: Load runtime image for fork
if: github.event.pull_request.head.repo.fork
run: |
docker load --input /tmp/runtime-${{ matrix.base_image }}.tar
- name: Cache Poetry dependencies
uses: actions/cache@v4
with:
path: |
~/.cache/pypoetry
~/.virtualenvs
key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
restore-keys: |
${{ runner.os }}-poetry-
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Install poetry via pipx
run: pipx install poetry
- name: Install Python dependencies using Poetry
run: make install-python-dependencies
- name: Run runtime tests
run: |
# We install pytest-xdist in order to run tests across CPUs
poetry run pip install pytest-xdist
# Install to be able to retry on failures for flaky tests
poetry run pip install pytest-rerunfailures
image_name=ghcr.io/${{ github.repository_owner }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image }}
image_name=$(echo $image_name | tr '[:upper:]' '[:lower:]')
SKIP_CONTAINER_LOGS=true \
TEST_RUNTIME=eventstream \
SANDBOX_USER_ID=$(id -u) \
SANDBOX_RUNTIME_CONTAINER_IMAGE=$image_name \
TEST_IN_CI=true \
RUN_AS_OPENHANDS=true \
poetry run pytest -n 3 -raRs --reruns 2 --reruns-delay 5 --cov=openhands --cov-report=xml -s ./tests/runtime
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
# The two following jobs (named identically) are to check whether all the runtime tests have passed as the
# "All Runtime Tests Passed" is a required job for PRs to merge
# Due to this bug: https://github.com/actions/runner/issues/2566, we want to create a job that runs when the
# prerequisites have been cancelled or failed so merging is disallowed, otherwise Github considers "skipped" as "success"
runtime_tests_check_success:
name: All Runtime Tests Passed
if: ${{ !cancelled() && !contains(needs.*.result, 'failure') && !contains(needs.*.result, 'cancelled') }}
runs-on: ubuntu-latest
needs: [test_runtime_root, test_runtime_oh, verify_hash_equivalence_in_runtime_and_app]
steps:
- name: All tests passed
run: echo "All runtime tests have passed successfully!"
runtime_tests_check_fail:
name: All Runtime Tests Passed
if: ${{ cancelled() || contains(needs.*.result, 'failure') || contains(needs.*.result, 'cancelled') }}
runs-on: ubuntu-latest
needs: [test_runtime_root, test_runtime_oh, verify_hash_equivalence_in_runtime_and_app]
steps:
- name: Some tests failed
run: |
echo "Some runtime tests failed or were cancelled"
exit 1
update_pr_description:
name: Update PR Description
if: github.event_name == 'pull_request' && !github.event.pull_request.head.repo.fork && github.actor != 'dependabot[bot]'
needs: [ghcr_build_runtime]
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Get short SHA
id: short_sha
run: echo "SHORT_SHA=$(echo ${{ github.event.pull_request.head.sha }} | cut -c1-7)" >> $GITHUB_OUTPUT
- name: Update PR Description
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PR_NUMBER: ${{ github.event.pull_request.number }}
REPO: ${{ github.repository }}
SHORT_SHA: ${{ steps.short_sha.outputs.SHORT_SHA }}
run: |
echo "updating PR description"
DOCKER_RUN_COMMAND="docker run -it --rm \
-p 3000:3000 \
-v /var/run/docker.sock:/var/run/docker.sock \
--add-host host.docker.internal:host-gateway \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:$SHORT_SHA-nikolaik \
--name openhands-app-$SHORT_SHA \
docker.all-hands.dev/all-hands-ai/openhands:$SHORT_SHA"
PR_BODY=$(gh pr view $PR_NUMBER --json body --jq .body)
if echo "$PR_BODY" | grep -q "To run this PR locally, use the following command:"; then
UPDATED_PR_BODY=$(echo "${PR_BODY}" | sed -E "s|docker run -it --rm.*|$DOCKER_RUN_COMMAND|")
else
UPDATED_PR_BODY="${PR_BODY}
---
To run this PR locally, use the following command:
\`\`\`
$DOCKER_RUN_COMMAND
\`\`\`"
fi
echo "updated body: $UPDATED_PR_BODY"
gh pr edit $PR_NUMBER --body "$UPDATED_PR_BODY"

82
.github/workflows/ghcr.yml vendored Normal file
View File

@@ -0,0 +1,82 @@
name: Publish Docker Image
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
on:
push:
branches:
- main
tags:
- '*'
pull_request:
workflow_dispatch:
inputs:
reason:
description: 'Reason for manual trigger'
required: true
default: ''
jobs:
ghcr_build_and_push:
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
strategy:
matrix:
image: ["app", "sandbox"]
steps:
- name: checkout
uses: actions/checkout@v4
- name: Free Disk Space (Ubuntu)
uses: jlumbroso/free-disk-space@main
with:
# this might remove tools that are actually needed,
# if set to "true" but frees about 6 GB
tool-cache: true
# all of these default to true, but feel free to set to
# "false" if necessary for your workflow
android: true
dotnet: true
haskell: true
large-packages: true
docker-images: false
swap-storage: true
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Login to ghcr
uses: docker/login-action@v1
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Build and push ${{ matrix.image }}
if: "!github.event.pull_request.head.repo.fork"
run: |
./containers/build.sh ${{ matrix.image }} ${{ github.repository_owner }} --push
- name: Build ${{ matrix.image }}
if: "github.event.pull_request.head.repo.fork"
run: |
./containers/build.sh ${{ matrix.image }} ${{ github.repository_owner }}
docker_build_success:
name: Docker Build Success
runs-on: ubuntu-latest
needs: ghcr_build_and_push
steps:
- run: echo Done!

View File

@@ -1,41 +1,37 @@
# Workflow that runs lint on the frontend and python code
name: Lint
# The jobs in this workflow are required, so they must run at all times
# Always run on "main"
# Always run on PRs
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
on:
push:
branches:
- main
pull_request:
# If triggered by a PR, it will be in the same group. However, each commit on main will be in its own unique group
concurrency:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
jobs:
# Run lint on the frontend code
lint-frontend:
name: Lint frontend
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install Node.js 20
uses: actions/setup-node@v4
with:
node-version: 20
- name: Install dependencies
run: |
cd frontend
npm install --frozen-lockfile
- name: Lint
run: |
cd frontend
npm run lint
# Run lint on the python code
lint-python:
name: Lint python
runs-on: ubuntu-latest
@@ -46,9 +42,16 @@ jobs:
- name: Set up python
uses: actions/setup-python@v5
with:
python-version: 3.12
python-version: 3.11
cache: 'pip'
- name: Install pre-commit
run: pip install pre-commit==3.7.0
- name: Run pre-commit hooks
run: pre-commit run --files openhands/**/* evaluation/**/* tests/**/* --show-diff-on-failure --config ./dev_config/python/.pre-commit-config.yaml
if: github.ref != 'refs/heads/main'
run: |
git fetch https://github.com/OpenDevin/OpenDevin.git main:main && \
pre-commit run \
--files \
$(git diff --name-only $(git merge-base main $(git branch --show-current)) $(git branch --show-current) | tr '\n' ' ') \
--show-diff-on-failure \
--config ./dev_config/python/.pre-commit-config.yaml

View File

@@ -1,15 +0,0 @@
name: Resolve Issues with OpenHands
on:
issues:
types: [labeled]
pull_request:
types: [labeled]
jobs:
call-openhands-resolver:
uses: All-Hands-AI/openhands-resolver/.github/workflows/openhands-resolver.yml@main
if: github.event.label.name == 'fix-me'
with:
max_iterations: 50
secrets: inherit

View File

@@ -1,96 +0,0 @@
# 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: |
${{ runner.os }}-poetry-
- name: Install poetry via pipx
run: pipx install poetry
- name: Install Python dependencies using Poetry
run: poetry install --without evaluation,llama-index
- name: Install & Start Docker
if: env.INSTALL_DOCKER == '1'
run: |
INSTANCE_NAME="colima-${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@v4
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

View File

@@ -1,49 +0,0 @@
# Workflow that runs python unit tests
name: Run Python Unit Tests
# The jobs in this workflow are required, so they must run at all times
# * Always run on "main"
# * Always run on PRs
on:
push:
branches:
- main
pull_request:
# If triggered by a PR, it will be in the same group. However, each commit on main will be in its own unique group
concurrency:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
jobs:
# Run python unit tests on Linux
test-on-linux:
name: Python Unit Tests on Linux
runs-on: ubuntu-latest
env:
INSTALL_DOCKER: '0' # Set to '0' to skip Docker installation
strategy:
matrix:
python-version: ['3.12']
steps:
- uses: actions/checkout@v4
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
cache: 'poetry'
- name: Install Python dependencies using Poetry
run: poetry install --without evaluation,llama-index
- name: Build Environment
run: make build
- name: Run Tests
run: poetry run pytest --forked --cov=openhands --cov-report=xml -svv ./tests/unit --ignore=tests/unit/test_memory.py
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

View File

@@ -1,31 +0,0 @@
# Publishes the OpenHands PyPi package
name: Publish PyPi Package
# Triggered manually
on:
workflow_dispatch:
inputs:
reason:
description: 'Reason for manual trigger'
required: true
default: ''
jobs:
release:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: 3.12
- name: Install Poetry
uses: snok/install-poetry@v1.4.1
with:
virtualenvs-in-project: true
virtualenvs-path: ~/.virtualenvs
- name: Install Poetry Dependencies
run: poetry install --no-interaction --no-root
- name: Build poetry project
run: ./build.sh
- name: publish
run: poetry publish -u __token__ -p ${{ secrets.PYPI_TOKEN }}

View File

@@ -1,5 +1,4 @@
# Workflow that uses OpenHands to review a pull request. PR must be labeled 'review-this'
name: Use OpenHands to Review Pull Request
name: Use OpenDevin to Review Pull Request
on:
pull_request:
@@ -13,31 +12,29 @@ jobs:
dogfood:
if: contains(github.event.pull_request.labels.*.name, 'review-this')
runs-on: ubuntu-latest
container:
image: ghcr.io/opendevin/opendevin
volumes:
- /var/run/docker.sock:/var/run/docker.sock
steps:
- uses: actions/checkout@v4
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: install git, github cli
run: |
sudo apt-get install -y git gh
apt-get install -y git gh
git config --global --add safe.directory $PWD
- name: Checkout Repository
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.base.ref }} # check out the target branch
- name: Download Diff
run: |
curl -O "${{ github.event.pull_request.diff_url }}" -L
- name: Write Task File
run: |
echo "Your coworker wants to apply a pull request to this project." > task.txt
echo "Read and review ${{ github.event.pull_request.number }}.diff file. Create a review-${{ github.event.pull_request.number }}.txt and write your concise comments and suggestions there." >> task.txt
echo "Do not ask me for confirmation at any point." >> task.txt
echo "Your coworker wants to apply a pull request to this project. Read and review ${{ github.event.pull_request.number }}.diff file. Create a review-${{ github.event.pull_request.number }}.txt and write your concise comments and suggestions there." > task.txt
echo "" >> task.txt
echo "Title" >> task.txt
echo "${{ github.event.pull_request.title }}" >> task.txt
@@ -46,25 +43,15 @@ jobs:
echo "${{ github.event.pull_request.body }}" >> task.txt
echo "" >> task.txt
echo "Diff file is: ${{ github.event.pull_request.number }}.diff" >> task.txt
- name: Set up environment
run: |
curl -sSL https://install.python-poetry.org | python3 -
export PATH="/github/home/.local/bin:$PATH"
poetry install --without evaluation,llama-index
poetry run playwright install --with-deps chromium
- name: Run OpenHands
- name: Run OpenDevin
env:
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_MODEL: ${{ vars.LLM_MODEL }}
LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }}
SANDBOX_TYPE: exec
run: |
# Append path to launch poetry
export PATH="/github/home/.local/bin:$PATH"
# Append path to correctly import package, note: must set pwd at first
export PYTHONPATH=$(pwd):$PYTHONPATH
export WORKSPACE_MOUNT_PATH=$GITHUB_WORKSPACE
export WORKSPACE_BASE=$GITHUB_WORKSPACE
echo -e "/exit\n" | poetry run python openhands/core/main.py -i 50 -f task.txt
WORKSPACE_MOUNT_PATH=$GITHUB_WORKSPACE python ./opendevin/core/main.py -i 50 -f task.txt -d $GITHUB_WORKSPACE
rm task.txt
- name: Check if review file is non-empty
id: check_file
run: |
@@ -73,6 +60,7 @@ jobs:
echo "non_empty=true" >> $GITHUB_OUTPUT
fi
shell: bash
- name: Create PR review if file is non-empty
env:
GH_TOKEN: ${{ github.token }}

View File

@@ -0,0 +1,101 @@
name: Run Integration Tests
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
on:
push:
branches:
- main
paths-ignore:
- '**/*.md'
- 'frontend/**'
- 'docs/**'
- 'evaluation/**'
pull_request:
jobs:
integration-tests-on-linux:
name: Integration Tests on Linux
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: ["3.11"]
sandbox: ["ssh", "exec", "local"]
steps:
- uses: actions/checkout@v4
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
cache: 'poetry'
- name: Install Python dependencies using Poetry
run: poetry install
- name: Build Environment
run: make build
- name: Run Integration Tests
env:
SANDBOX_TYPE: ${{ matrix.sandbox }}
run: |
TEST_IN_CI=true TEST_ONLY=true ./tests/integration/regenerate.sh
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
integration-tests-on-mac:
name: Integration Tests on MacOS
runs-on: macos-13
if: contains(github.event.pull_request.title, 'mac') || contains(github.event.pull_request.title, 'Mac')
strategy:
fail-fast: false
matrix:
python-version: ["3.11"]
sandbox: ["ssh"]
steps:
- uses: actions/checkout@v4
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
cache: 'poetry'
- name: Install Python dependencies using Poetry
run: poetry install
- name: Install & Start Docker
run: |
brew install colima docker
colima start
# 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: Run Integration Tests
env:
SANDBOX_TYPE: ${{ matrix.sandbox }}
run: |
TEST_IN_CI=true TEST_ONLY=true ./tests/integration/regenerate.sh
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

126
.github/workflows/run-unit-tests.yml vendored Normal file
View File

@@ -0,0 +1,126 @@
name: Run Unit Tests
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
on:
push:
branches:
- main
paths-ignore:
- '**/*.md'
- 'frontend/**'
- 'docs/**'
- 'evaluation/**'
pull_request:
jobs:
test-on-macos:
name: Test on macOS
runs-on: macos-13
env:
INSTALL_DOCKER: "0" # Set to '0' to skip Docker installation
strategy:
matrix:
python-version: ["3.11"]
steps:
- uses: actions/checkout@v4
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
cache: "poetry"
- name: Install Python dependencies using Poetry
run: poetry install
- name: Install & Start Docker
if: env.INSTALL_DOCKER == '1'
run: |
brew install colima docker
colima start
# 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: Run Tests
run: poetry run pytest --forked --cov=agenthub --cov=opendevin --cov-report=xml ./tests/unit -k "not test_sandbox"
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
test-on-linux:
name: Test on Linux
runs-on: ubuntu-latest
env:
INSTALL_DOCKER: "0" # Set to '0' to skip Docker installation
strategy:
matrix:
python-version: ["3.11"]
steps:
- uses: actions/checkout@v4
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
cache: "poetry"
- name: Install Python dependencies using Poetry
run: poetry install --without evaluation
- name: Build Environment
run: make build
- name: Run Tests
run: poetry run pytest --forked --cov=agenthub --cov=opendevin --cov-report=xml ./tests/unit -k "not test_sandbox"
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
test-for-sandbox:
name: Test for Sandbox
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
cache: "poetry"
- name: Install Python dependencies using Poetry
run: poetry install
- name: Build Environment
run: make build
- name: Run Integration Test for Sandbox
run: |
poetry run pytest --cov=agenthub --cov=opendevin --cov-report=xml -s ./tests/unit/test_sandbox.py
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

109
.github/workflows/solve-issue.yml vendored Normal file
View File

@@ -0,0 +1,109 @@
name: Use OpenDevin to Resolve GitHub Issue
on:
issues:
types: [labeled]
permissions:
contents: write
pull-requests: write
issues: write
jobs:
dogfood:
if: github.event.label.name == 'solve-this'
runs-on: ubuntu-latest
container:
image: ghcr.io/opendevin/opendevin
volumes:
- /var/run/docker.sock:/var/run/docker.sock
steps:
- name: install git, github cli
run: apt-get install -y git gh
- name: Checkout Repository
uses: actions/checkout@v4
- name: Write Task File
env:
ISSUE_TITLE: ${{ github.event.issue.title }}
ISSUE_BODY: ${{ github.event.issue.body }}
run: |
echo "TITLE:" > task.txt
echo "${ISSUE_TITLE}" >> task.txt
echo "" >> task.txt
echo "BODY:" >> task.txt
echo "${ISSUE_BODY}" >> task.txt
- name: Run OpenDevin
env:
ISSUE_TITLE: ${{ github.event.issue.title }}
ISSUE_BODY: ${{ github.event.issue.body }}
LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }}
SANDBOX_TYPE: exec
run: |
WORKSPACE_MOUNT_PATH=$GITHUB_WORKSPACE python ./opendevin/core/main.py -i 50 -f task.txt -d $GITHUB_WORKSPACE
rm task.txt
- name: Setup Git, Create Branch, and Commit Changes
run: |
# Setup Git configuration
git config --global --add safe.directory $PWD
git config --global user.name 'OpenDevin'
git config --global user.email 'OpenDevin@users.noreply.github.com'
# Create a unique branch name with a timestamp
BRANCH_NAME="fix/${{ github.event.issue.number }}-$(date +%Y%m%d%H%M%S)"
# Checkout new branch
git checkout -b $BRANCH_NAME
# Add all changes to staging, except task.txt
git add --all -- ':!task.txt'
# Commit the changes, if any
git commit -m "OpenDevin: Resolve Issue #${{ github.event.issue.number }}"
if [ $? -ne 0 ]; then
echo "No changes to commit."
exit 0
fi
# Push changes
git push --set-upstream origin $BRANCH_NAME
- name: Fetch Default Branch
env:
GH_TOKEN: ${{ github.token }}
run: |
# Fetch the default branch using gh cli
DEFAULT_BRANCH=$(gh repo view --json defaultBranchRef --jq .defaultBranchRef.name)
echo "Default branch is $DEFAULT_BRANCH"
echo "DEFAULT_BRANCH=$DEFAULT_BRANCH" >> $GITHUB_ENV
- name: Generate PR
env:
GH_TOKEN: ${{ github.token }}
run: |
# Create PR and capture URL
PR_URL=$(gh pr create \
--title "OpenDevin: Resolve Issue #2" \
--body "This PR was generated by OpenDevin to resolve issue #2" \
--repo "foragerr/OpenDevin" \
--head "${{ github.head_ref }}" \
--base "${{ env.DEFAULT_BRANCH }}" \
| grep -o 'https://github.com/[^ ]*')
# Extract PR number from URL
PR_NUMBER=$(echo "$PR_URL" | grep -o '[0-9]\+$')
# Set environment vars
echo "PR_URL=$PR_URL" >> $GITHUB_ENV
echo "PR_NUMBER=$PR_NUMBER" >> $GITHUB_ENV
- name: Post Comment
env:
GH_TOKEN: ${{ github.token }}
run: |
gh issue comment ${{ github.event.issue.number }} \
-b "OpenDevin raised [PR #${{ env.PR_NUMBER }}](${{ env.PR_URL }}) to resolve this issue."

View File

@@ -1,7 +1,4 @@
# Workflow that marks issues and PRs with no activity for 30 days with "Stale" and closes them after 7 more days of no activity
name: 'Close stale issues'
# Runs every day at 01:30
on:
schedule:
- cron: '30 1 * * *'
@@ -12,10 +9,21 @@ jobs:
steps:
- uses: actions/stale@v9
with:
# Aggressively close issues that have been explicitly labeled `age-out`
any-of-labels: age-out
stale-issue-message: 'This issue is stale because it has been open for 7 days with no activity. Remove stale label or comment or this will be closed in 1 day.'
close-issue-message: 'This issue was closed because it has been stalled for over 7 days with no activity.'
stale-pr-message: 'This PR is stale because it has been open for 7 days with no activity. Remove stale label or comment or this will be closed in 1 days.'
close-pr-message: 'This PR was closed because it has been stalled for over 7 days with no activity.'
days-before-stale: 7
days-before-close: 1
- uses: actions/stale@v9
with:
# Be more lenient with other issues
stale-issue-message: 'This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.'
stale-pr-message: 'This PR is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.'
days-before-stale: 30
exempt-issue-labels: 'tracked'
close-issue-message: 'This issue was closed because it has been stalled for over 30 days with no activity.'
stale-pr-message: 'This PR is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.'
close-pr-message: 'This PR was closed because it has been stalled for over 30 days with no activity.'
days-before-stale: 30
days-before-close: 7

32
.gitignore vendored
View File

@@ -121,7 +121,6 @@ celerybeat.pid
# Environments
.env
frontend/.env
.venv
env/
venv/
@@ -162,23 +161,14 @@ cython_debug/
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
.idea/
.vscode/
.cursorignore
# evaluation
evaluation/evaluation_outputs
evaluation/outputs
evaluation/swe_bench/eval_workspace*
evaluation/SWE-bench/data
evaluation/webarena/scripts/webarena_env.sh
evaluation/bird/data
evaluation/gaia/data
evaluation/gorilla/data
evaluation/toolqa/data
evaluation/scienceagentbench/benchmark
# frontend
# dependencies
frontend/node_modules
frontend/.pnp
frontend/bun.lockb
frontend/yarn.lock
@@ -186,8 +176,6 @@ frontend/yarn.lock
# testing
frontend/coverage
test_results*
/_test_files_tmp/
# production
frontend/build
@@ -215,17 +203,9 @@ cache
# configuration
config.toml
config.toml_
config.toml.bak
# swe-bench-eval
image_build_logs
run_instance_logs
runtime_*.tar
# docker build
containers/runtime/Dockerfile
containers/runtime/project.tar.gz
containers/runtime/code
**/node_modules/
evaluation/swe_bench/eval_workspace*
evaluation/outputs
evaluation/evaluation_outputs
test_results*
/_test_files_tmp/

View File

@@ -1,28 +0,0 @@
OpenHands is an automated AI software engineer. It is a repo with a Python backend
(in the `openhands` directory) and TypeScript frontend (in the `frontend` directory).
General Setup:
- To set up the entire repo, including frontend and backend, run `make build`
- To run linting and type-checking before finishing the job, run `poetry run pre-commit run --all-files --config ./dev_config/python/.pre-commit-config.yaml`
Backend:
- Located in the `openhands` directory
- Testing:
- All tests are in `tests/unit/test_*.py`
- To test new code, run `poetry run pytest tests/unit/test_xxx.py` where `xxx` is the appropriate file for the current functionality
- Write all tests with pytest
Frontend:
- Located in the `frontend` directory
- Prerequisites: A recent version of NodeJS / NPM
- Setup: Run `npm install` in the frontend directory
- Testing:
- Run tests: `npm run test`
- To run specific tests: `npm run test -- -t "TestName"`
- Building:
- Build for production: `npm run build`
- Environment Variables:
- Set in `frontend/.env` or as environment variables
- Available variables: VITE_BACKEND_HOST, VITE_USE_TLS, VITE_INSECURE_SKIP_VERIFY, VITE_FRONTEND_PORT
- Internationalization:
- Generate i18n declaration file: `npm run make-i18n`

View File

@@ -61,7 +61,7 @@ representative at an online or offline event.
Instances of abusive, harassing, or otherwise unacceptable behavior may be
reported to the community leaders responsible for enforcement at
contact@all-hands.dev
contact@rbren.io
All complaints will be reviewed and investigated promptly and fairly.
All community leaders are obligated to respect the privacy and security of the

View File

@@ -1,82 +1,63 @@
# Contributing
Thanks for your interest in contributing to OpenHands! We welcome and appreciate contributions.
Thanks for your interest in contributing to OpenDevin! We welcome and appreciate contributions.
To report bugs, create a [GitHub issue](https://github.com/OpenDevin/OpenDevin/issues/new/choose).
## Understanding OpenHands's CodeBase
## Contribution Guide
### 1. Fork the Official Repository
To understand the codebase, please refer to the README in each module:
- [frontend](./frontend/README.md)
- [evaluation](./evaluation/README.md)
- [openhands](./openhands/README.md)
- [agenthub](./openhands/agenthub/README.md)
- [server](./openhands/server/README.md)
Fork [OpenDevin repository](https://github.com/OpenDevin/OpenDevin) into your own account.
Clone your own forked repository into your local environment.
## Setting up your development environment
```shell
git clone git@github.com:<YOUR-USERNAME>/OpenDevin.git
```
We have a separate doc [Development.md](https://github.com/All-Hands-AI/OpenHands/blob/main/Development.md) that tells you how to set up a development workflow.
### 2. Configure Git
## How can I contribute?
Set the official repository as your [upstream](https://www.atlassian.com/git/tutorials/git-forks-and-upstreams) to synchronize with the latest update in the official repository.
Add the original repository as upstream
There are many ways that you can contribute:
```shell
cd OpenDevin
git remote add upstream git@github.com:OpenDevin/OpenDevin.git
```
1. **Download and use** OpenHands, and send [issues](https://github.com/All-Hands-AI/OpenHands/issues) when you encounter something that isn't working or a feature that you'd like to see.
2. **Send feedback** after each session by [clicking the thumbs-up thumbs-down buttons](https://docs.all-hands.dev/modules/usage/feedback), so we can see where things are working and failing, and also build an open dataset for training code agents.
3. **Improve the Codebase** by sending PRs (see details below). In particular, we have some [good first issues](https://github.com/All-Hands-AI/OpenHands/labels/good%20first%20issue) that may be ones to start on.
Verify that the remote is set.
```shell
git remote -v
```
You should see both `origin` and `upstream` in the output.
## What can I build?
Here are a few ways you can help improve the codebase.
### 3. Synchronize with Official Repository
Synchronize latest commit with official repository before coding.
#### UI/UX
We're always looking to improve the look and feel of the application. If you've got a small fix
for something that's bugging you, feel free to open up a PR that changes the `./frontend` directory.
```shell
git fetch upstream
git checkout main
git merge upstream/main
git push origin main
```
If you're looking to make a bigger change, add a new UI element, or significantly alter the style
of the application, please open an issue first, or better, join the #frontend channel in our Slack
to gather consensus from our design team first.
### 4. Create a New Branch And Open a Pull Request
After you finish implementation, open forked repository. The source branch is your new branch, and the target branch is `OpenDevin/OpenDevin` `main` branch. Then PR should appears in [OpenDevin PRs](https://github.com/OpenDevin/OpenDevin/pulls).
#### Improving the agent
Our main agent is the CodeAct agent. You can [see its prompts here](https://github.com/All-Hands-AI/OpenHands/tree/main/openhands/agenthub/codeact_agent)
Then OpenDevin team will review your code.
Changes to these prompts, and to the underlying behavior in Python, can have a huge impact on user experience.
You can try modifying the prompts to see how they change the behavior of the agent as you use the app
locally, but we will need to do an end-to-end evaluation of any changes here to ensure that the agent
is getting better over time.
## PR Rules
We use the [SWE-bench](https://www.swebench.com/) benchmark to test our agent. You can join the #evaluation
channel in Slack to learn more.
### 1. Pull Request title
#### Adding a new agent
You may want to experiment with building new types of agents. You can add an agent to `openhands/agenthub`
to help expand the capabilities of OpenHands.
#### Adding a new runtime
The agent needs a place to run code and commands. When you run OpenHands on your laptop, it uses a Docker container
to do this by default. But there are other ways of creating a sandbox for the agent.
If you work for a company that provides a cloud-based runtime, you could help us add support for that runtime
by implementing the [interface specified here](https://github.com/All-Hands-AI/OpenHands/blob/main/openhands/runtime/runtime.py).
#### Testing
When you write code, it is also good to write tests. Please navigate to the `tests` folder to see existing test suites.
At the moment, we have two kinds of tests: `unit` and `integration`. Please refer to the README for each test suite. These tests also run on GitHub's continuous integration to ensure quality of the project.
## Sending Pull Requests to OpenHands
You'll need to fork our repository to send us a Pull Request. You can learn more
about how to fork a GitHub repo and open a PR with your changes in [this article](https://medium.com/swlh/forks-and-pull-requests-how-to-contribute-to-github-repos-8843fac34ce8)
### Pull Request title
As described [here](https://github.com/commitizen/conventional-commit-types/blob/master/index.json), a valid PR title should begin with one of the following prefixes:
As described in [here](https://github.com/commitizen/conventional-commit-types/blob/master/index.json), a valid PR title should begin with one of the following prefixes:
- `feat`: A new feature
- `fix`: A bug fix
- `docs`: Documentation only changes
- `style`: Changes that do not affect the meaning of the code (white space, formatting, missing semicolons, etc.)
- `doc`: Documentation only changes
- `refactor`: A code change that neither fixes a bug nor adds a feature
- `style`: A refactoring that improves code style
- `perf`: A code change that improves performance
- `test`: Adding missing tests or correcting existing tests
- `build`: Changes that affect the build system or external dependencies (example scopes: gulp, broccoli, npm)
- `ci`: Changes to our CI configuration files and scripts (example scopes: Travis, Circle, BrowserStack, SauceLabs)
- `ci`: Changes to CI configuration files and scripts (example scopes: `.github`, `ci` (Buildkite))
- `chore`: Other changes that don't modify src or test files
- `revert`: Reverts a previous commit
@@ -84,11 +65,26 @@ For example, a PR title could be:
- `refactor: modify package path`
- `feat(frontend): xxxx`, where `(frontend)` means that this PR mainly focuses on the frontend component.
You may also check out previous PRs in the [PR list](https://github.com/All-Hands-AI/OpenHands/pulls).
You may also check out previous PRs in the [PR list](https://github.com/OpenDevin/OpenDevin/pulls).
As described in [here](https://github.com/OpenDevin/OpenDevin/labels), we create several labels. Every PR should be tagged with the corresponding labels.
### 2. Pull Request description
### Pull Request description
- If your PR is small (such as a typo fix), you can go brief.
- If it contains a lot of changes, it's better to write more details.
- If it is large and you have changed a lot, it's better to write more details.
If your changes are user-facing (e.g. a new feature in the UI, a change in behavior, or a bugfix)
please include a short message that we can add to our changelog.
## How to begin
Please refer to the README in each module:
- [frontend](./frontend/README.md)
- [agenthub](./agenthub/README.md)
- [evaluation](./evaluation/README.md)
- [opendevin](./opendevin/README.md)
- [server](./opendevin/server/README.md)
- [mock server](./opendevin/mock/README.md)
## Tests
Please navigate to `tests` folder to see existing test suites.
At the moment, we have two kinds of tests: `unit` and `integration`. Please refer to the README for each test suite. These tests also run on CI to ensure quality of
the project.

View File

@@ -1,312 +0,0 @@
# Credits
## Contributors
We would like to thank all the [contributors](https://github.com/All-Hands-AI/OpenHands/graphs/contributors) who have helped make OpenHands possible. We greatly appreciate your dedication and hard work.
## Open Source Projects
OpenHands includes and adapts the following open source projects. We are grateful for their contributions to the open source community:
#### [SWE Agent](https://github.com/princeton-nlp/swe-agent)
- License: MIT License
- Description: Adapted for use in OpenHands's agent hub
#### [Aider](https://github.com/paul-gauthier/aider)
- License: Apache License 2.0
- Description: AI pair programming tool. OpenHands has adapted and integrated its linter module for code-related tasks in [`agentskills utilities`](https://github.com/All-Hands-AI/OpenHands/tree/main/openhands/runtime/plugins/agent_skills/utils/aider)
#### [BrowserGym](https://github.com/ServiceNow/BrowserGym)
- License: Apache License 2.0
- Description: Adapted in implementing the browsing agent
### Reference Implementations for Evaluation Benchmarks
OpenHands integrates code of the reference implementations for the following agent evaluation benchmarks:
#### [HumanEval](https://github.com/openai/human-eval)
- License: MIT License
#### [DSP](https://github.com/microsoft/DataScienceProblems)
- License: MIT License
#### [HumanEvalPack](https://github.com/bigcode-project/bigcode-evaluation-harness)
- License: Apache License 2.0
#### [AgentBench](https://github.com/THUDM/AgentBench)
- License: Apache License 2.0
#### [SWE-Bench](https://github.com/princeton-nlp/SWE-bench)
- License: MIT License
#### [BIRD](https://bird-bench.github.io/)
- License: MIT License
- Dataset: CC-BY-SA 4.0
#### [Gorilla APIBench](https://github.com/ShishirPatil/gorilla)
- License: Apache License 2.0
#### [GPQA](https://github.com/idavidrein/gpqa)
- License: MIT License
#### [ProntoQA](https://github.com/asaparov/prontoqa)
- License: Apache License 2.0
## Open Source licenses
### MIT License
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
### BSD 3-Clause License
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
### Apache License 2.0
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright [yyyy] [name of copyright owner]
### Non-Open Source Reference Implementations:
#### [MultiPL-E](https://github.com/nuprl/MultiPL-E)
- License: BSD 3-Clause License with Machine Learning Restriction
BSD 3-Clause License with Machine Learning Restriction
Copyright (c) 2022, Northeastern University, Oberlin College, Roblox Inc,
Stevens Institute of Technology, University of Massachusetts Amherst, and
Wellesley College.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
4. The contents of this repository may not be used as training data for any
machine learning model, including but not limited to neural networks.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

View File

@@ -1,18 +1,14 @@
# Development Guide
This guide is for people working on OpenHands and editing the source code.
If you wish to contribute your changes, check out the [CONTRIBUTING.md](https://github.com/All-Hands-AI/OpenHands/blob/main/CONTRIBUTING.md) on how to clone and setup the project initially before moving on.
Otherwise, you can clone the OpenHands project directly.
This guide is for people working on OpenDevin and editing the source code.
## Start the server for development
### 1. Requirements
* Linux, Mac OS, or [WSL on Windows](https://learn.microsoft.com/en-us/windows/wsl/install) [Ubuntu <= 22.04]
* [Docker](https://docs.docker.com/engine/install/) (For those on MacOS, make sure to allow the default Docker socket to be used from advanced settings!)
* [Python](https://www.python.org/downloads/) = 3.12
* Linux, Mac OS, or [WSL on Windows](https://learn.microsoft.com/en-us/windows/wsl/install)
* [Docker](https://docs.docker.com/engine/install/)(For those on MacOS, make sure to allow the default Docker socket to be used from advanced settings!)
* [Python](https://www.python.org/downloads/) >= 3.11
* [NodeJS](https://nodejs.org/en/download/package-manager) >= 18.17.1
* [Poetry](https://python-poetry.org/docs/#installing-with-the-official-installer) >= 1.8
* OS-specific dependencies:
- Ubuntu: build-essential => `sudo apt-get install build-essential`
- WSL: netcat => `sudo apt-get install netcat`
Make sure you have all these dependencies installed before moving on to `make build`.
@@ -24,47 +20,48 @@ If you want to develop without system admin/sudo access to upgrade/install `Pyth
curl -L -O "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh"
bash Miniforge3-$(uname)-$(uname -m).sh
# Install Python 3.12, nodejs, and poetry
mamba install python=3.12
# Install Python 3.11, nodejs, and poetry
mamba install python=3.11
mamba install conda-forge::nodejs
mamba install conda-forge::poetry
```
### 2. Build and Setup The Environment
Begin by building the project which includes setting up the environment and installing dependencies. This step ensures that OpenHands is ready to run on your system:
```bash
make build
```
- **Build the Project:** Begin by building the project, which includes setting up the environment and installing dependencies. This step ensures that OpenDevin is ready to run smoothly on your system.
```bash
make build
```
### 3. Configuring the Language Model
OpenHands supports a diverse array of Language Models (LMs) through the powerful [litellm](https://docs.litellm.ai) library. By default, we've chosen the mighty GPT-4 from OpenAI as our go-to model, but the world is your oyster! You can unleash the potential of Anthropic's suave Claude, the enigmatic Llama, or any other LM that piques your interest.
To configure the LM of your choice, run:
OpenDevin supports a diverse array of Language Models (LMs) through the powerful [litellm](https://docs.litellm.ai) library. By default, we've chosen the mighty GPT-4 from OpenAI as our go-to model, but the world is your oyster! You can unleash the potential of Anthropic's suave Claude, the enigmatic Llama, or any other LM that piques your interest.
To configure the LM of your choice, follow these steps:
1. **Using the Makefile: The Effortless Approach**
With a single command, you can have a smooth LM setup for your OpenDevin experience. Simply run:
```bash
make setup-config
```
This command will prompt you to enter the LLM API key, model name, and other variables ensuring that OpenHands is tailored to your specific needs. Note that the model name will apply only when you run headless. If you use the UI, please set the model in the UI.
Note: If you have previously run OpenHands using the docker command, you may have already set some environmental variables in your terminal. The final configurations are set from highest to lowest priority:
Environment variables > config.toml variables > default variables
This command will prompt you to enter the LLM API key, model name, and other variables ensuring that OpenDevin is tailored to your specific needs. Note that the model name will apply only when you run headless. If you use the UI, please set the model in the UI.
**Note on Alternative Models:**
Some alternative models may prove more challenging to tame than others. Fear not, brave adventurer! We shall soon unveil LLM-specific documentation to guide you on your quest.
And if you've already mastered the art of wielding a model other than OpenAI's GPT, we encourage you to share your setup instructions with us by creating instructions and adding it [to our documentation](https://github.com/All-Hands-AI/OpenHands/tree/main/docs/modules/usage/llms).
Some alternative models may prove more challenging to tame than others. Fear not, brave adventurer! We shall soon unveil LLM-specific documentation to guide you on your quest. And if you've already mastered the art of wielding a model other than OpenAI's GPT, we encourage you to [share your setup instructions with us](https://github.com/OpenDevin/OpenDevin/issues/417).
For a full list of the LM providers and models available, please consult the [litellm documentation](https://docs.litellm.ai/docs/providers).
### 4. Running the application
#### Option A: Run the Full Application
Once the setup is complete, launching OpenHands is as simple as running a single command. This command starts both the backend and frontend servers seamlessly, allowing you to interact with OpenHands:
```bash
make run
```
There is also [documentation for running with local models using ollama](./docs/documentation/LOCAL_LLM_GUIDE.md).
### 4. Run the Application
- **Run the Application:** Once the setup is complete, launching OpenDevin is as simple as running a single command. This command starts both the backend and frontend servers seamlessly, allowing you to interact with OpenDevin without any hassle.
```bash
make run
```
### 5. Individual Server Startup
#### Option B: Individual Server Startup
- **Start the Backend Server:** If you prefer, you can start the backend server independently to focus on backend-related tasks or configurations.
```bash
make start-backend
@@ -76,53 +73,29 @@ make run
```
### 6. LLM Debugging
If you encounter any issues with the Language Model (LM) or you're simply curious, you can inspect the actual LLM prompts and responses. To do so, export DEBUG=1 in the environment and restart the backend.
OpenHands will then log the prompts and responses in the logs/llm/CURRENT_DATE directory, allowing you to identify the causes.
If you encounter any issues with the Language Model (LM) or you're simply curious, you can inspect the actual LLM prompts and responses. To do so, export DEBUG=1 in the environment and restart the backend. OpenDevin will then log the prompts and responses in the logs/llm/CURRENT_DATE directory, allowing you to identify the causes.
### 7. Help
Need assistance or information on available targets and commands? The help command provides all the necessary guidance to ensure a smooth experience with OpenHands.
```bash
make help
```
- **Get Some Help:** Need assistance or information on available targets and commands? The help command provides all the necessary guidance to ensure a smooth experience with OpenDevin.
```bash
make help
```
### 8. Testing
To run tests, refer to the following:
#### Unit tests
```bash
poetry run pytest ./tests/unit/test_*.py
poetry run pytest ./tests/unit/test_sandbox.py
```
#### Integration tests
Please refer to [this README](./tests/integration/README.md) for details.
### 9. Add or update dependency
1. Add your dependency in `pyproject.toml` or use `poetry add xxx`
2. Update the poetry.lock file via `poetry lock --no-update`
### 9. Use existing Docker image
To reduce build time (e.g., if no changes were made to the client-runtime component), you can use an existing Docker container image. Follow these steps:
1. Set the SANDBOX_RUNTIME_CONTAINER_IMAGE environment variable to the desired Docker image.
2. Example: export SANDBOX_RUNTIME_CONTAINER_IMAGE=ghcr.io/all-hands-ai/runtime:0.13-nikolaik
## Develop inside Docker container
TL;DR
```bash
make docker-dev
```
See more details [here](./containers/dev/README.md)
If you are just interested in running `OpenHands` without installing all the required tools on your host.
```bash
make docker-run
```
If you do not have `make` on your host, run:
```bash
cd ./containers/dev
./dev.sh
```
You do need [Docker](https://docs.docker.com/engine/install/) installed on your host though.
1. Add your dependency in `pyproject.toml` or use `peotry add xxx`
2. Update the poetry.lock file via `poetry lock --no-update`

View File

@@ -1,25 +0,0 @@
# Issue Triage
These are the procedures and guidelines on how issues are triaged in this repo by the maintainers.
## General
* 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, single user report
* **Medium**: Affecting multiple users
* **Critical**: Affecting all users or potential security issues
## Effort
* Issues may be estimated with effort required (**small effort**, **medium effort**, **large effort**)
## Difficulty
* Issues with low implementation difficulty may be tagged with **good first issue**
## Not Enough Information
* User is asked to provide more information (logs, how to reproduce, etc.) when the issue is not clear
* If an issue is unclear and the author does not provide more information or respond to a request, the issue may be closed as **not planned** (Usually after a week)
## Multiple Requests/Fixes in One Issue
* These issues will be narrowed down to one request/fix so the issue is more easily tracked and fixed
* Issues may be broken down into multiple issues if required

View File

@@ -1,5 +0,0 @@
# Exclude all Python bytecode files
global-exclude *.pyc
# Exclude Python cache directories
global-exclude __pycache__

133
Makefile
View File

@@ -1,16 +1,15 @@
SHELL=/bin/bash
# Makefile for OpenHands project
# Makefile for OpenDevin project
# Variables
BACKEND_HOST ?= "127.0.0.1"
DOCKER_IMAGE = ghcr.io/opendevin/sandbox
BACKEND_PORT = 3000
BACKEND_HOST_PORT = "$(BACKEND_HOST):$(BACKEND_PORT)"
BACKEND_HOST = "127.0.0.1:$(BACKEND_PORT)"
FRONTEND_PORT = 3001
DEFAULT_WORKSPACE_DIR = "./workspace"
DEFAULT_MODEL = "gpt-4o"
DEFAULT_MODEL = "gpt-3.5-turbo"
CONFIG_FILE = config.toml
PRE_COMMIT_CONFIG_PATH = "./dev_config/python/.pre-commit-config.yaml"
PYTHON_VERSION = 3.12
PRECOMMIT_CONFIG_PATH = "./dev_config/python/.pre-commit-config.yaml"
# ANSI color codes
GREEN=$(shell tput -Txterm setaf 2)
@@ -23,9 +22,12 @@ RESET=$(shell tput -Txterm sgr0)
build:
@echo "$(GREEN)Building project...$(RESET)"
@$(MAKE) -s check-dependencies
ifeq ($(INSTALL_DOCKER),)
@$(MAKE) -s pull-docker-image
endif
@$(MAKE) -s install-python-dependencies
@$(MAKE) -s install-frontend-dependencies
@$(MAKE) -s install-pre-commit-hooks
@$(MAKE) -s install-precommit-hooks
@$(MAKE) -s build-frontend
@echo "$(GREEN)Build completed successfully.$(RESET)"
@@ -60,10 +62,10 @@ check-system:
check-python:
@echo "$(YELLOW)Checking Python installation...$(RESET)"
@if command -v python$(PYTHON_VERSION) > /dev/null; then \
echo "$(BLUE)$(shell python$(PYTHON_VERSION) --version) is already installed.$(RESET)"; \
@if command -v python3.11 > /dev/null; then \
echo "$(BLUE)$(shell python3.11 --version) is already installed.$(RESET)"; \
else \
echo "$(RED)Python $(PYTHON_VERSION) is not installed. Please install Python $(PYTHON_VERSION) to continue.$(RESET)"; \
echo "$(RED)Python 3.11 is not installed. Please install Python 3.11 to continue.$(RESET)"; \
exit 1; \
fi
@@ -110,43 +112,37 @@ check-poetry:
echo "$(BLUE)$(shell poetry --version) is already installed.$(RESET)"; \
else \
echo "$(RED)Poetry 1.8 or later is required. You can install poetry by running the following command, then adding Poetry to your PATH:"; \
echo "$(RED) curl -sSL https://install.python-poetry.org | python$(PYTHON_VERSION) -$(RESET)"; \
echo "$(RED) curl -sSL https://install.python-poetry.org | python3 -$(RESET)"; \
echo "$(RED)More detail here: https://python-poetry.org/docs/#installing-with-the-official-installer$(RESET)"; \
exit 1; \
fi; \
else \
echo "$(RED)Poetry is not installed. You can install poetry by running the following command, then adding Poetry to your PATH:"; \
echo "$(RED) curl -sSL https://install.python-poetry.org | python$(PYTHON_VERSION) -$(RESET)"; \
echo "$(RED) curl -sSL https://install.python-poetry.org | python3.11 -$(RESET)"; \
echo "$(RED)More detail here: https://python-poetry.org/docs/#installing-with-the-official-installer$(RESET)"; \
exit 1; \
fi
pull-docker-image:
@echo "$(YELLOW)Pulling Docker image...$(RESET)"
@docker pull $(DOCKER_IMAGE)
@echo "$(GREEN)Docker image pulled successfully.$(RESET)"
install-python-dependencies:
@echo "$(GREEN)Installing Python dependencies...$(RESET)"
@if [ -z "${TZ}" ]; then \
echo "Defaulting TZ (timezone) to UTC"; \
export TZ="UTC"; \
fi
poetry env use python$(PYTHON_VERSION)
poetry env use python3.11
@if [ "$(shell uname)" = "Darwin" ]; then \
echo "$(BLUE)Installing chroma-hnswlib...$(RESET)"; \
export HNSWLIB_NO_NATIVE=1; \
poetry run pip install chroma-hnswlib; \
fi
@poetry install --without llama-index
@poetry install
@if [ -f "/etc/manjaro-release" ]; then \
echo "$(BLUE)Detected Manjaro Linux. Installing Playwright dependencies...$(RESET)"; \
poetry run pip install playwright; \
poetry run playwright install chromium; \
else \
if [ ! -f cache/playwright_chromium_is_installed.txt ]; then \
echo "Running playwright install --with-deps chromium..."; \
poetry run playwright install --with-deps chromium; \
mkdir -p cache; \
touch cache/playwright_chromium_is_installed.txt; \
else \
echo "Setup already done. Skipping playwright installation."; \
fi \
poetry run playwright install --with-deps chromium; \
fi
@echo "$(GREEN)Python dependencies installed successfully.$(RESET)"
@@ -154,19 +150,22 @@ install-frontend-dependencies:
@echo "$(YELLOW)Setting up frontend environment...$(RESET)"
@echo "$(YELLOW)Detect Node.js version...$(RESET)"
@cd frontend && node ./scripts/detect-node-version.js
echo "$(BLUE)Installing frontend dependencies with npm...$(RESET)"
@cd frontend && npm install
@cd frontend && \
echo "$(BLUE)Installing frontend dependencies with npm...$(RESET)" && \
npm install && \
echo "$(BLUE)Running make-i18n with npm...$(RESET)" && \
npm run make-i18n
@echo "$(GREEN)Frontend dependencies installed successfully.$(RESET)"
install-pre-commit-hooks:
install-precommit-hooks:
@echo "$(YELLOW)Installing pre-commit hooks...$(RESET)"
@git config --unset-all core.hooksPath || true
@poetry run pre-commit install --config $(PRE_COMMIT_CONFIG_PATH)
@poetry run pre-commit install --config $(PRECOMMIT_CONFIG_PATH)
@echo "$(GREEN)Pre-commit hooks installed successfully.$(RESET)"
lint-backend:
@echo "$(YELLOW)Running linters...$(RESET)"
@poetry run pre-commit run --files openhands/**/* agenthub/**/* evaluation/**/* --show-diff-on-failure --config $(PRE_COMMIT_CONFIG_PATH)
@poetry run pre-commit run --files $$(git diff --name-only $$(git merge-base main $$(git branch --show-current)) $$(git branch --show-current) | tr '\n' ' ') --show-diff-on-failure --config $(PRECOMMIT_CONFIG_PATH)
lint-frontend:
@echo "$(YELLOW)Running linters for frontend...$(RESET)"
@@ -190,54 +189,29 @@ build-frontend:
# Start backend
start-backend:
@echo "$(YELLOW)Starting backend...$(RESET)"
@poetry run uvicorn openhands.server.listen:app --host $(BACKEND_HOST) --port $(BACKEND_PORT) --reload --reload-exclude "$(shell pwd)/workspace"
@poetry run uvicorn opendevin.server.listen:app --port $(BACKEND_PORT) --reload --reload-exclude "workspace/*"
# Start frontend
start-frontend:
@echo "$(YELLOW)Starting frontend...$(RESET)"
@cd frontend && VITE_BACKEND_HOST=$(BACKEND_HOST_PORT) VITE_FRONTEND_PORT=$(FRONTEND_PORT) npm run dev -- --port $(FRONTEND_PORT) --host $(BACKEND_HOST)
@cd frontend && VITE_BACKEND_HOST=$(BACKEND_HOST) VITE_FRONTEND_PORT=$(FRONTEND_PORT) npm run start
# Common setup for running the app (non-callable)
_run_setup:
# Run the app
run:
@echo "$(YELLOW)Running the app...$(RESET)"
@if [ "$(OS)" = "Windows_NT" ]; then \
echo "$(RED) Windows is not supported, use WSL instead!$(RESET)"; \
echo "$(RED)`make run` is not supported on Windows. Please run `make start-frontend` and `make start-backend` separately.$(RESET)"; \
exit 1; \
fi
@mkdir -p logs
@echo "$(YELLOW)Starting backend server...$(RESET)"
@poetry run uvicorn openhands.server.listen:app --host $(BACKEND_HOST) --port $(BACKEND_PORT) &
@poetry run uvicorn opendevin.server.listen:app --port $(BACKEND_PORT) &
@echo "$(YELLOW)Waiting for the backend to start...$(RESET)"
@until nc -z localhost $(BACKEND_PORT); do sleep 0.1; done
@echo "$(GREEN)Backend started successfully.$(RESET)"
# Run the app (standard mode)
run:
@echo "$(YELLOW)Running the app...$(RESET)"
@$(MAKE) -s _run_setup
@$(MAKE) -s start-frontend
@cd frontend && echo "$(BLUE)Starting frontend with npm...$(RESET)" && npm run start -- --port $(FRONTEND_PORT)
@echo "$(GREEN)Application started successfully.$(RESET)"
# Run the app (in docker)
docker-run: WORKSPACE_BASE ?= $(PWD)/workspace
docker-run:
@if [ -f /.dockerenv ]; then \
echo "Running inside a Docker container. Exiting..."; \
exit 0; \
else \
echo "$(YELLOW)Running the app in Docker $(OPTIONS)...$(RESET)"; \
export WORKSPACE_BASE=${WORKSPACE_BASE}; \
export SANDBOX_USER_ID=$(shell id -u); \
export DATE=$(shell date +%Y%m%d%H%M%S); \
docker compose up $(OPTIONS); \
fi
# Run the app (WSL mode)
run-wsl:
@echo "$(YELLOW)Running the app in WSL mode...$(RESET)"
@$(MAKE) -s _run_setup
@cd frontend && echo "$(BLUE)Starting frontend with npm (WSL mode)...$(RESET)" && npm run dev_wsl -- --port $(FRONTEND_PORT)
@echo "$(GREEN)Application started successfully in WSL mode.$(RESET)"
# Setup config.toml
setup-config:
@echo "$(YELLOW)Setting up config.toml...$(RESET)"
@@ -248,7 +222,7 @@ setup-config:
setup-config-prompts:
@echo "[core]" > $(CONFIG_FILE).tmp
@read -p "Enter your workspace directory (as absolute path) [default: $(DEFAULT_WORKSPACE_DIR)]: " workspace_dir; \
@read -p "Enter your workspace directory [default: $(DEFAULT_WORKSPACE_DIR)]: " workspace_dir; \
workspace_dir=$${workspace_dir:-$(DEFAULT_WORKSPACE_DIR)}; \
echo "workspace_base=\"$$workspace_dir\"" >> $(CONFIG_FILE).tmp
@@ -275,10 +249,6 @@ setup-config-prompts:
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\"" >> $(CONFIG_FILE).tmp; \
@@ -295,20 +265,10 @@ setup-config-prompts:
fi
# Develop in container
docker-dev:
@if [ -f /.dockerenv ]; then \
echo "Running inside a Docker container. Exiting..."; \
exit 0; \
else \
echo "$(YELLOW)Build and run in Docker $(OPTIONS)...$(RESET)"; \
./containers/dev/dev.sh $(OPTIONS); \
fi
# Clean up all caches
clean:
@echo "$(YELLOW)Cleaning up caches...$(RESET)"
@rm -rf openhands/.cache
@rm -rf opendevin/.cache
@echo "$(GREEN)Caches cleaned up successfully.$(RESET)"
# Help
@@ -317,16 +277,13 @@ help:
@echo "Targets:"
@echo " $(GREEN)build$(RESET) - Build project, including environment setup and dependencies."
@echo " $(GREEN)lint$(RESET) - Run linters on the project."
@echo " $(GREEN)setup-config$(RESET) - Setup the configuration for OpenHands by providing LLM API key,"
@echo " $(GREEN)setup-config$(RESET) - Setup the configuration for OpenDevin by providing LLM API key,"
@echo " LLM Model name, and workspace directory."
@echo " $(GREEN)start-backend$(RESET) - Start the backend server for the OpenHands project."
@echo " $(GREEN)start-frontend$(RESET) - Start the frontend server for the OpenHands project."
@echo " $(GREEN)run$(RESET) - Run the OpenHands application, starting both backend and frontend servers."
@echo " $(GREEN)start-backend$(RESET) - Start the backend server for the OpenDevin project."
@echo " $(GREEN)start-frontend$(RESET) - Start the frontend server for the OpenDevin project."
@echo " $(GREEN)run$(RESET) - Run the OpenDevin application, starting both backend and frontend servers."
@echo " Backend Log file will be stored in the 'logs' directory."
@echo " $(GREEN)docker-dev$(RESET) - Build and run the OpenHands application in Docker."
@echo " $(GREEN)docker-run$(RESET) - Run the OpenHands application, starting both backend and frontend servers in Docker."
@echo " $(GREEN)help$(RESET) - Display this help message, providing information on available targets."
# Phony targets
.PHONY: build check-dependencies check-python check-npm check-docker check-poetry install-python-dependencies install-frontend-dependencies install-pre-commit-hooks lint start-backend start-frontend run run-wsl setup-config setup-config-prompts help
.PHONY: docker-dev docker-run
.PHONY: build check-dependencies check-python check-npm check-docker check-poetry pull-docker-image install-python-dependencies install-frontend-dependencies install-precommit-hooks lint start-backend start-frontend run setup-config setup-config-prompts help

156
README.md
View File

@@ -1,107 +1,118 @@
<a name="readme-top"></a>
<div align="center">
<img src="./docs/static/img/logo.png" alt="Logo" width="200">
<h1 align="center">OpenHands: Code Less, Make More</h1>
</div>
<!--
*** Thanks for checking out the Best-README-Template. If you have a suggestion
*** that would make this better, please fork the repo and create a pull request
*** or simply open an issue with the tag "enhancement".
*** Don't forget to give the project a star!
*** Thanks again! Now go create something AMAZING! :D
-->
<!-- PROJECT SHIELDS -->
<!--
*** I'm using markdown "reference style" links for readability.
*** Reference links are enclosed in brackets [ ] instead of parentheses ( ).
*** See the bottom of this document for the declaration of the reference variables
*** for contributors-url, forks-url, etc. This is an optional, concise syntax you may use.
*** https://www.markdownguide.org/basic-syntax/#reference-style-links
-->
<div align="center">
<a href="https://github.com/All-Hands-AI/OpenHands/graphs/contributors"><img src="https://img.shields.io/github/contributors/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Contributors"></a>
<a href="https://github.com/All-Hands-AI/OpenHands/stargazers"><img src="https://img.shields.io/github/stars/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Stargazers"></a>
<a href="https://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>
<a href="https://github.com/OpenDevin/OpenDevin/graphs/contributors"><img src="https://img.shields.io/github/contributors/opendevin/opendevin?style=for-the-badge&color=blue" alt="Contributors"></a>
<a href="https://github.com/OpenDevin/OpenDevin/network/members"><img src="https://img.shields.io/github/forks/opendevin/opendevin?style=for-the-badge&color=blue" alt="Forks"></a>
<a href="https://github.com/OpenDevin/OpenDevin/stargazers"><img src="https://img.shields.io/github/stars/opendevin/opendevin?style=for-the-badge&color=blue" alt="Stargazers"></a>
<a href="https://github.com/OpenDevin/OpenDevin/issues"><img src="https://img.shields.io/github/issues/opendevin/opendevin?style=for-the-badge&color=blue" alt="Issues"></a>
<a href="https://github.com/OpenDevin/OpenDevin/blob/main/LICENSE"><img src="https://img.shields.io/github/license/opendevin/opendevin?style=for-the-badge&color=blue" alt="MIT License"></a>
<br/>
<a href="https://join.slack.com/t/openhands-ai/shared_invite/zt-2tom0er4l-JeNUGHt_AxpEfIBstbLPiw"><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/opendevin/shared_invite/zt-2i1iqdag6-bVmvamiPA9EZUu7oCO6KhA"><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>
<hr>
<a href="https://huggingface.co/spaces/OpenDevin/evaluation"><img src="https://img.shields.io/badge/SWE--bench%20Lite-25.0%25-green?style=for-the-badge" alt="SWE-bench "></a>
<a href="https://codecov.io/github/opendevin/opendevin?branch=main"><img alt="CodeCov" src="https://img.shields.io/codecov/c/github/opendevin/opendevin?style=for-the-badge"></a>
</div>
Welcome to OpenHands (formerly OpenDevin), a platform for software development agents powered by AI.
<!-- PROJECT LOGO -->
<div align="center">
<img src="./docs/static/img/logo.png" alt="Logo" width="200" height="200">
<h1 align="center">OpenDevin: Code Less, Make More</h1>
<a href="https://opendevin.github.io/OpenDevin/"><img src="https://img.shields.io/badge/Documentation-OpenDevin-blue?logo=googledocs&logoColor=white&style=for-the-badge" alt="Check out the documentation"></a>
</div>
<hr>
OpenHands agents can do anything a human developer can: modify code, run commands, browse the web,
call APIs, and yes—even copy code snippets from StackOverflow.
Welcome to OpenDevin, a platform for autonomous software engineers, powered by AI and LLMs.
Learn more at [docs.all-hands.dev](https://docs.all-hands.dev), or jump to the [Quick Start](#-quick-start).
OpenDevin agents collaborate with human developers to write code, fix bugs, and ship features.
![App screenshot](./docs/static/img/screenshot.png)
## ⚡ Quick Start
## ⚡ Getting Started
The easiest way to run OpenDevin is inside a Docker container. It works best with the most recent version of Docker, `26.0.0`.
You must be using Linux, Mac OS, or WSL on Windows.
The easiest way to run OpenHands is in Docker.
See the [Installation](https://docs.all-hands.dev/modules/usage/installation) guide for
system requirements and more information.
To start the app, run these commands, replacing `$(pwd)/workspace` with the directory you want OpenDevin to work with.
```bash
docker pull docker.all-hands.dev/all-hands-ai/runtime:0.13-nikolaik
docker run -it --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.13-nikolaik \
-v /var/run/docker.sock:/var/run/docker.sock \
-p 3000:3000 \
-e LOG_ALL_EVENTS=true \
--add-host host.docker.internal:host-gateway \
--name openhands-app \
docker.all-hands.dev/all-hands-ai/openhands:0.13
# The directory you want OpenDevin to work with. MUST be an absolute path!
export WORKSPACE_BASE=$(pwd)/workspace;
```
You'll find OpenHands running at [http://localhost:3000](http://localhost:3000)!
> [!WARNING]
> OpenDevin runs bash commands within a Docker sandbox, so it should not affect your machine.
> But your workspace directory will be attached to that sandbox, and files in the directory may be modified or deleted.
Finally, you'll need a model provider and API key.
[Anthropic's Claude 3.5 Sonnet](https://www.anthropic.com/api) (`anthropic/claude-3-5-sonnet-20241022`)
works best, but you have [many options](https://docs.all-hands.dev/modules/usage/llms).
```bash
docker run \
-it \
--pull=always \
-e SANDBOX_USER_ID=$(id -u) \
-e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
-v $WORKSPACE_BASE:/opt/workspace_base \
-v /var/run/docker.sock:/var/run/docker.sock \
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
ghcr.io/opendevin/opendevin:0.5
```
---
You'll find OpenDevin running at [http://localhost:3000](http://localhost:3000).
You can also [connect OpenHands to your local filesystem](https://docs.all-hands.dev/modules/usage/runtimes),
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://github.com/All-Hands-AI/OpenHands-resolver).
## 🚀 Documentation
Visit [Installation](https://docs.all-hands.dev/modules/usage/installation) for more information and setup instructions.
To learn more about the project, and for tips on using OpenDevin,
**check out our [documentation](https://opendevin.github.io/OpenDevin/)**.
If you want to modify the OpenHands source code, check out [Development.md](https://github.com/All-Hands-AI/OpenHands/blob/main/Development.md).
Having issues? The [Troubleshooting Guide](https://docs.all-hands.dev/modules/usage/troubleshooting) can help.
## 📖 Documentation
To learn more about the project, and for tips on using OpenHands,
**check out our [documentation](https://docs.all-hands.dev/modules/usage/getting-started)**.
There you'll find resources on how to use different LLM providers,
There you'll find resources on how to use different LLM providers (like ollama and Anthropic's Claude),
troubleshooting resources, and advanced configuration options.
## 🤝 How to Contribute
OpenHands is a community-driven project, and we welcome contributions from everyone.
OpenDevin is a community-driven project, and we welcome contributions from everyone.
Whether you're a developer, a researcher, or simply enthusiastic about advancing the field of
software engineering with AI, there are many ways to get involved:
- **Code Contributions:** Help us develop new agents, core functionality, the frontend and other interfaces, or sandboxing solutions.
- **Research and Evaluation:** Contribute to our understanding of LLMs in software engineering, participate in evaluating the models, or suggest improvements.
- **Feedback and Testing:** Use the OpenHands toolset, report bugs, suggest features, or provide feedback on usability.
- **Feedback and Testing:** Use the OpenDevin toolset, report bugs, suggest features, or provide feedback on usability.
For details, please check [CONTRIBUTING.md](./CONTRIBUTING.md).
## 🤖 Join Our Community
Whether you're a developer, a researcher, or simply enthusiastic about OpenHands, we'd love to have you in our community.
Whether you're a developer, a researcher, or simply enthusiastic about OpenDevin, we'd love to have you in our community.
Let's make software engineering better together!
- [Slack workspace](https://join.slack.com/t/openhands-ai/shared_invite/zt-2tom0er4l-JeNUGHt_AxpEfIBstbLPiw) - Here we talk about research, architecture, and future development.
- [Slack workspace](https://join.slack.com/t/opendevin/shared_invite/zt-2ggtwn3k5-PvAA2LUmqGHVZ~XzGq~ILw) - Here we talk about research, architecture, and future development.
- [Discord server](https://discord.gg/ESHStjSjD4) - This is a community-run server for general discussion, questions, and feedback.
## 📈 Progress
<p align="center">
<a href="https://www.swebench.com/lite.html">
<img src="/docs/static/img/results.png" alt="SWE-Bench Lite Score" width="500" height="auto">
</a>
</p>
<p align="center">
<a href="https://star-history.com/#All-Hands-AI/OpenHands&Date">
<img src="https://api.star-history.com/svg?repos=All-Hands-AI/OpenHands&type=Date" width="500" alt="Star History Chart">
<a href="https://star-history.com/#OpenDevin/OpenDevin&Date">
<img src="https://api.star-history.com/svg?repos=OpenDevin/OpenDevin&type=Date" width="500" alt="Star History Chart">
</a>
</p>
@@ -109,22 +120,13 @@ Let's make software engineering better together!
Distributed under the MIT License. See [`LICENSE`](./LICENSE) for more information.
## 🙏 Acknowledgements
OpenHands is built by a large number of contributors, and every contribution is greatly appreciated! We also build upon other open source projects, and we are deeply thankful for their work.
For a list of open source projects and licenses used in OpenHands, please see our [CREDITS.md](./CREDITS.md) file.
## 📚 Cite
```
@misc{openhands,
title={{OpenHands: An Open Platform for AI Software Developers as Generalist Agents}},
author={Xingyao Wang and Boxuan Li and Yufan Song and Frank F. Xu and Xiangru Tang and Mingchen Zhuge and Jiayi Pan and Yueqi Song and Bowen Li and Jaskirat Singh and Hoang H. Tran and Fuqiang Li and Ren Ma and Mingzhang Zheng and Bill Qian and Yanjun Shao and Niklas Muennighoff and Yizhe Zhang and Binyuan Hui and Junyang Lin and Robert Brennan and Hao Peng and Heng Ji and Graham Neubig},
year={2024},
eprint={2407.16741},
archivePrefix={arXiv},
primaryClass={cs.SE},
url={https://arxiv.org/abs/2407.16741},
}
```
[contributors-shield]: https://img.shields.io/github/contributors/opendevin/opendevin?style=for-the-badge
[contributors-url]: https://github.com/OpenDevin/OpenDevin/graphs/contributors
[forks-shield]: https://img.shields.io/github/forks/opendevin/opendevin?style=for-the-badge
[forks-url]: https://github.com/OpenDevin/OpenDevin/network/members
[stars-shield]: https://img.shields.io/github/stars/opendevin/opendevin?style=for-the-badge
[stars-url]: https://github.com/OpenDevin/OpenDevin/stargazers
[issues-shield]: https://img.shields.io/github/issues/opendevin/opendevin?style=for-the-badge
[issues-url]: https://github.com/OpenDevin/OpenDevin/issues
[license-shield]: https://img.shields.io/github/license/opendevin/opendevin?style=for-the-badge
[license-url]: https://github.com/OpenDevin/OpenDevin/blob/main/LICENSE

89
agenthub/README.md Normal file
View File

@@ -0,0 +1,89 @@
# Agent Framework Research
In this folder, there may exist multiple implementations of `Agent` that will be used by the framework.
For example, `agenthub/monologue_agent`, `agenthub/metagpt_agent`, `agenthub/codeact_agent`, etc.
Contributors from different backgrounds and interests can choose to contribute to any (or all!) of these directions.
## Constructing an Agent
The abstraction for an agent can be found [here](../opendevin/agent.py).
Agents are run inside of a loop. At each iteration, `agent.step()` is called with a
[State](../opendevin/state.py) input, and the agent must output an [Action](../opendevin/action).
Every agent also has a `self.llm` which it can use to interact with the LLM configured by the user.
See the [LiteLLM docs for `self.llm.completion`](https://docs.litellm.ai/docs/completion).
## State
The `state` contains:
- A history of actions taken by the agent, as well as any observations (e.g. file content, command output) from those actions
- A list of actions/observations that have happened since the most recent step
- A [`root_task`](https://github.com/OpenDevin/OpenDevin/blob/main/opendevin/controller/state/task.py), which contains a plan of action
- The agent can add and modify subtasks through the `AddTaskAction` and `ModifyTaskAction`
## Actions
Here is a list of available Actions, which can be returned by `agent.step()`:
- [`CmdRunAction`](../opendevin/action/bash.py) - Runs a command inside a sandboxed terminal
- [`CmdKillAction`](../opendevin/action/bash.py) - Kills a background command
- [`IPythonRunCellAction`](../opendevin/action/bash.py) - Execute a block of Python code interactively (in Jupyter notebook) and receives `CmdOutputObservation`. Requires setting up `jupyter` [plugin](../opendevin/sandbox/plugins) as a requirement.
- [`FileReadAction`](../opendevin/action/fileop.py) - Reads the content of a file
- [`FileWriteAction`](../opendevin/action/fileop.py) - Writes new content to a file
- [`BrowseURLAction`](../opendevin/action/browse.py) - Gets the content of a URL
- [`AgentRecallAction`](../opendevin/action/agent.py) - Searches memory (e.g. a vector database)
- [`AddTaskAction`](../opendevin/action/tasks.py) - Adds a subtask to the plan
- [`ModifyTaskAction`](../opendevin/action/tasks.py) - Changes the state of a subtask
- [`AgentThinkAction`](../opendevin/action/agent.py) - A no-op that allows the agent to add plaintext to the history (as well as the chat log)
- [`AgentTalkAction`](../opendevin/action/agent.py) - A no-op that allows the agent to add plaintext to the history and talk to the user.
- [`AgentFinishAction`](../opendevin/action/agent.py) - Stops the control loop, allowing the user/delegator agent to enter a new task
- [`AgentRejectAction`](../opendevin/action/agent.py) - Stops the control loop, allowing the user/delegator agent to enter a new task
- [`AgentFinishAction`](../opendevin/action/agent.py) - Stops the control loop, allowing the user to enter a new task
- [`MessageAction`](../opendevin/action/message.py) - Represents a message from an agent or the user
You can use `action.to_dict()` and `action_from_dict` to serialize and deserialize actions.
## Observations
There are also several types of Observations. These are typically available in the step following the corresponding Action.
But they may also appear as a result of asynchronous events (e.g. a message from the user, logs from a command running
in the background).
Here is a list of available Observations:
- [`CmdOutputObservation`](../opendevin/observation/run.py)
- [`BrowserOutputObservation`](../opendevin/observation/browse.py)
- [`FileReadObservation`](../opendevin/observation/files.py)
- [`FileWriteObservation`](../opendevin/observation/files.py)
- [`AgentRecallObservation`](../opendevin/observation/recall.py)
- [`ErrorObservation`](../opendevin/observation/error.py)
- [`SuccessObservation`](../opendevin/observation/success.py)
You can use `observation.to_dict()` and `observation_from_dict` to serialize and deserialize observations.
## Interface
Every agent must implement the following methods:
### `step`
```
def step(self, state: "State") -> "Action"
```
`step` moves the agent forward one step towards its goal. This probably means
sending a prompt to the LLM, then parsing the response into an `Action`.
### `search_memory`
```
def search_memory(self, query: str) -> list[str]:
```
`search_memory` should return a list of events that match the query. This will be used
for the `recall` action.
You can optionally just return `[]` for this method, meaning the agent has no long-term memory.

View File

@@ -0,0 +1,405 @@
# GPT-4 Examples:
### Notes:
- The final result is not completed as I only gave it 10 steps, but shows very promising use of the tools.
- This whole run costs: $0.35 using gpt-4-turbo
- Input Tokens: 29,734
- Completion Tokens: 1,636
Interesting things:
1. Using comments as an initial placeholder for the next move and then having that output in memory is a very cool behavior.
2. It makes very small iterative changes due to the prompting.
3. A lot of the logic for the game is present but not put together well
4. There are a lot of odd quirks with the code that it has written.
5. Some odd agent behavior with putting random lines of code in random places?
6. The structure of the feedback loop needs some improvement so the agent can see the changes it has made better in context.
7. Might be beneficial to add in some line numbers so the model knows what lines it is looking at.
```
==============
STEP 0
PLAN:
Please make conway's game of life in python using the pygame library. Be sure to use the tools in your workspace to help you out.
Usage(completion_tokens=91, prompt_tokens=2047, total_tokens=2138)
==== RAW OUTPUT ====
Thoughts:
To start implementing Conway's Game of Life in Python using the pygame library, I first need to set up a Python script file where I can write the code. I'll create a new Python file named `game_of_life.py`. This file will serve as the base for writing the game logic and using pygame functionalities.
Action:
"""
write game_of_life.py # This is a placeholder for the game of life implementation using pygame.
"""
==== END RAW ====
ACTION:
FileWriteAction(path='game_of_life.py', content='# This is a placeholder for the game of life implementation using pygame.', start=0, end=-1, thoughts="Thoughts:\nTo start implementing Conway's Game of Life in Python using the pygame library, I first need to set up a Python script file where I can write the code. I'll create a new Python file named `game_of_life.py`. This file will serve as the base for writing the game logic and using pygame functionalities.\n\nAction:", action=<ActionType.WRITE: 'write'>)
OBSERVATION:
WRITE OPERATION:
You have written to "game_of_life.py" on these lines: 0:-1.
==============
STEP 1
PLAN:
Please make conway's game of life in python using the pygame library. Be sure to use the tools in your workspace to help you out.
Usage(completion_tokens=101, prompt_tokens=2351, total_tokens=2452)
==== RAW OUTPUT ====
Thoughts:
The placeholder for the game of life implementation using pygame has been set up in the file `game_of_life.py`. The next step is to start implementing the basic structure of the game. This includes importing necessary libraries, initializing the pygame module, setting up the display window, and defining the main game loop. I will begin by importing pygame and initializing it, which are the foundational steps for any pygame application.
Action:
"""
edit 0 0 import pygame
pygame.init()
"""
==== END RAW ====
ACTION:
FileWriteAction(path='game_of_life.py', content='import pygame\n\npygame.init()', start=0, end=0, thoughts='Thoughts:\nThe placeholder for the game of life implementation using pygame has been set up in the file `game_of_life.py`. The next step is to start implementing the basic structure of the game. This includes importing necessary libraries, initializing the pygame module, setting up the display window, and defining the main game loop. I will begin by importing pygame and initializing it, which are the foundational steps for any pygame application.\n\nAction:', action=<ActionType.WRITE: 'write'>)
OBSERVATION:
WRITE OPERATION:
You have written to "game_of_life.py" on these lines: 0:0.
==============
STEP 2
PLAN:
Please make conway's game of life in python using the pygame library. Be sure to use the tools in your workspace to help you out.
Usage(completion_tokens=123, prompt_tokens=2552, total_tokens=2675)
==== RAW OUTPUT ====
Thoughts:
Previously, I initialized pygame in the `game_of_life.py` file. The next step is to set up the display window for the game. This involves defining the size of the window and setting the title. This is crucial as it provides the visual interface for the game. I will also add a comment to indicate that this is the setup for the display window.
Action:
"""
edit 2 2
# Setup the display window
screen_size = (800, 600)
screen = pygame.display.set_mode(screen_size)
pygame.display.set_caption("Conway's Game of Life")
"""
==== END RAW ====
ACTION:
FileWriteAction(path='game_of_life.py', content='# Setup the display window\nscreen_size = (800, 600)\nscreen = pygame.display.set_mode(screen_size)\npygame.display.set_caption("Conway\'s Game of Life")', start=2, end=2, thoughts='Thoughts:\nPreviously, I initialized pygame in the `game_of_life.py` file. The next step is to set up the display window for the game. This involves defining the size of the window and setting the title. This is crucial as it provides the visual interface for the game. I will also add a comment to indicate that this is the setup for the display window.\n\nAction:', action=<ActionType.WRITE: 'write'>)
OBSERVATION:
WRITE OPERATION:
You have written to "game_of_life.py" on these lines: 2:2.
==============
STEP 3
PLAN:
Please make conway's game of life in python using the pygame library. Be sure to use the tools in your workspace to help you out.
Usage(completion_tokens=144, prompt_tokens=2777, total_tokens=2921)
==== RAW OUTPUT ====
Thoughts:
So far, I have set up the basic structure for Conway's Game of Life using pygame, including initializing pygame and setting up the display window. The next step is to define the main game loop where the game's logic will be continuously updated and rendered. This loop will handle events, update the game state, and redraw the screen. I will start by defining the main loop structure and a basic event handling mechanism to allow for quitting the game when the user presses the close button.
Action:
"""
edit 5 5 # Main game loop
running = True
while running:
for event in pygame.event.get():
if event.type == pygame.QUIT:
running = False
"""
==== END RAW ====
ACTION:
FileWriteAction(path='game_of_life.py', content='# Main game loop\nrunning = True\nwhile running:\n for event in pygame.event.get():\n if event.type == pygame.QUIT:\n running = False', start=5, end=5, thoughts="Thoughts:\nSo far, I have set up the basic structure for Conway's Game of Life using pygame, including initializing pygame and setting up the display window. The next step is to define the main game loop where the game's logic will be continuously updated and rendered. This loop will handle events, update the game state, and redraw the screen. I will start by defining the main loop structure and a basic event handling mechanism to allow for quitting the game when the user presses the close button.\n\nAction:", action=<ActionType.WRITE: 'write'>)
OBSERVATION:
WRITE OPERATION:
You have written to "game_of_life.py" on these lines: 5:5.
==============
STEP 4
PLAN:
Please make conway's game of life in python using the pygame library. Be sure to use the tools in your workspace to help you out.
Usage(completion_tokens=222, prompt_tokens=3022, total_tokens=3244)
==== RAW OUTPUT ====
Thoughts:
So far, I have set up the basic structure for Conway's Game of Life using pygame, including initializing pygame, setting up the display window, and defining the main game loop. The next step is to implement the logic for Conway's Game of Life. This involves creating a grid to represent the game state, initializing it with a random pattern, and defining the rules for cell survival, birth, and death. I will start by defining the grid size and initializing the grid with random states.
Action:
"""
edit 7 7 # Define grid size and initialize grid
grid_size = (50, 50) # Grid size as a tuple (rows, columns)
grid = [[0 for x in range(grid_size[1])] for y in range(grid_size[0])] # Initialize grid with zeros
import random
for y in range(grid_size[0]):
for x in range(grid_size[1]):
grid[y][x] = random.randint(0, 1) # Randomly assign cells as alive (1) or dead (0)
"""
==== END RAW ====
ACTION:
FileWriteAction(path='game_of_life.py', content='# Define grid size and initialize grid\ngrid_size = (50, 50) # Grid size as a tuple (rows, columns)\ngrid = [[0 for x in range(grid_size[1])] for y in range(grid_size[0])] # Initialize grid with zeros\nimport random\nfor y in range(grid_size[0]):\n for x in range(grid_size[1]):\n grid[y][x] = random.randint(0, 1) # Randomly assign cells as alive (1) or dead (0)', start=7, end=7, thoughts="Thoughts:\nSo far, I have set up the basic structure for Conway's Game of Life using pygame, including initializing pygame, setting up the display window, and defining the main game loop. The next step is to implement the logic for Conway's Game of Life. This involves creating a grid to represent the game state, initializing it with a random pattern, and defining the rules for cell survival, birth, and death. I will start by defining the grid size and initializing the grid with random states.\n\nAction:", action=<ActionType.WRITE: 'write'>)
OBSERVATION:
WRITE OPERATION:
You have written to "game_of_life.py" on these lines: 7:7.
==============
STEP 5
PLAN:
Please make conway's game of life in python using the pygame library. Be sure to use the tools in your workspace to help you out.
Usage(completion_tokens=234, prompt_tokens=3158, total_tokens=3392)
==== RAW OUTPUT ====
Thoughts:
So far, I have set up the basic structure for Conway's Game of Life using pygame, including initializing pygame, setting up the display window, defining the main game loop, and initializing the grid with random states. The next step is to implement the rules for Conway's Game of Life. This involves checking each cell's neighbors to determine its next state based on the number of alive neighbors. I will start by defining a function to count the alive neighbors for a given cell.
Action:
"""
edit 9 9 def count_alive_neighbors(grid, x, y):
directions = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0), (1, 1)]
count = 0
for dx, dy in directions:
nx, ny = x + dx, y + dy
if 0 <= nx < grid_size[1] and 0 <= ny < grid_size[0]:
count += grid[ny][nx]
return count
"""
==== END RAW ====
ACTION:
FileWriteAction(path='game_of_life.py', content='def count_alive_neighbors(grid, x, y):\n directions = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0), (1, 1)]\n count = 0\n for dx, dy in directions:\n nx, ny = x + dx, y + dy\n if 0 <= nx < grid_size[1] and 0 <= ny < grid_size[0]:\n count += grid[ny][nx]\n return count', start=9, end=9, thoughts="Thoughts:\nSo far, I have set up the basic structure for Conway's Game of Life using pygame, including initializing pygame, setting up the display window, defining the main game loop, and initializing the grid with random states. The next step is to implement the rules for Conway's Game of Life. This involves checking each cell's neighbors to determine its next state based on the number of alive neighbors. I will start by defining a function to count the alive neighbors for a given cell.\n\nAction:", action=<ActionType.WRITE: 'write'>)
OBSERVATION:
WRITE OPERATION:
You have written to "game_of_life.py" on these lines: 9:9.
==============
STEP 6
PLAN:
Please make conway's game of life in python using the pygame library. Be sure to use the tools in your workspace to help you out.
Usage(completion_tokens=257, prompt_tokens=3290, total_tokens=3547)
==== RAW OUTPUT ====
Thoughts:
So far, I have set up the basic structure for Conway's Game of Life using pygame, including initializing pygame, setting up the display window, defining the main game loop, initializing the grid with random states, and creating a function to count alive neighbors. The next step is to implement the rules for Conway's Game of Life. This involves updating the grid state based on the number of alive neighbors each cell has. I will define a function `update_grid` that applies the rules of the game to update the grid for the next generation.
Action:
"""
write game_of_life.py def update_grid(grid):
new_grid = [[0 for x in range(grid_size[1])] for y in range(grid_size[0])]
for y in range(grid_size[0]):
for x in range(grid_size[1]):
alive_neighbors = count_alive_neighbors(grid, x, y)
if grid[y][x] == 1 and (alive_neighbors == 2 or alive_neighbors == 3):
new_grid[y][x] = 1
elif grid[y][x] == 0 and alive_neighbors == 3:
new_grid[y][x] = 1
return new_grid
11
11
"""
==== END RAW ====
ACTION:
FileWriteAction(path='game_of_life.py', content='def update_grid(grid):\n new_grid = [[0 for x in range(grid_size[1])] for y in range(grid_size[0])]\n for y in range(grid_size[0]):\n for x in range(grid_size[1]):\n alive_neighbors = count_alive_neighbors(grid, x, y)\n if grid[y][x] == 1 and (alive_neighbors == 2 or alive_neighbors == 3):\n new_grid[y][x] = 1\n elif grid[y][x] == 0 and alive_neighbors == 3:\n new_grid[y][x] = 1\n return new_grid', start=11, end=11, thoughts="Thoughts:\nSo far, I have set up the basic structure for Conway's Game of Life using pygame, including initializing pygame, setting up the display window, defining the main game loop, initializing the grid with random states, and creating a function to count alive neighbors. The next step is to implement the rules for Conway's Game of Life. This involves updating the grid state based on the number of alive neighbors each cell has. I will define a function `update_grid` that applies the rules of the game to update the grid for the next generation.\n\nAction:", action=<ActionType.WRITE: 'write'>)
OBSERVATION:
WRITE OPERATION:
You have written to "game_of_life.py" on these lines: 11:11.
==============
STEP 7
PLAN:
Please make conway's game of life in python using the pygame library. Be sure to use the tools in your workspace to help you out.
Usage(completion_tokens=124, prompt_tokens=3416, total_tokens=3540)
==== RAW OUTPUT ====
Thoughts:
So far, I have set up the basic structure for Conway's Game of Life using pygame, including initializing pygame, setting up the display window, defining the main game loop, initializing the grid with random states, and creating functions to count alive neighbors and update the grid. The next step is to integrate the `update_grid` function into the main game loop to continuously update the state of the grid based on the game rules. This will allow the game to evolve over time, showing different generations of the cell population.
Action:
"""
edit 6 6
grid = update_grid(grid)
"""
==== END RAW ====
ACTION:
FileWriteAction(path='game_of_life.py', content='grid = update_grid(grid)', start=6, end=6, thoughts="Thoughts:\nSo far, I have set up the basic structure for Conway's Game of Life using pygame, including initializing pygame, setting up the display window, defining the main game loop, initializing the grid with random states, and creating functions to count alive neighbors and update the grid. The next step is to integrate the `update_grid` function into the main game loop to continuously update the state of the grid based on the game rules. This will allow the game to evolve over time, showing different generations of the cell population.\n\nAction:", action=<ActionType.WRITE: 'write'>)
OBSERVATION:
WRITE OPERATION:
You have written to "game_of_life.py" on these lines: 6:6.
==============
STEP 8
PLAN:
Please make conway's game of life in python using the pygame library. Be sure to use the tools in your workspace to help you out.
Usage(completion_tokens=166, prompt_tokens=3393, total_tokens=3559)
==== RAW OUTPUT ====
Thoughts:
So far, I have set up the basic structure for Conway's Game of Life using pygame, including initializing pygame, setting up the display window, defining the main game loop, initializing the grid with random states, and creating functions to count alive neighbors and update the grid. The next step is to integrate the `update_grid` function into the main game loop to continuously update the state of the grid based on the game rules. This will allow the game to evolve over time, showing different generations of the cell population. I need to ensure that the `update_grid` function is called within the main game loop and that the display is updated accordingly. I will start by checking the current content of the main game loop to see where to integrate the `update_grid` function.
Action:
"""
goto 6
"""
==== END RAW ====
ACTION:
FileReadAction(path='game_of_life.py', start=6, end=106, thoughts="Thoughts:\nSo far, I have set up the basic structure for Conway's Game of Life using pygame, including initializing pygame, setting up the display window, defining the main game loop, initializing the grid with random states, and creating functions to count alive neighbors and update the grid. The next step is to integrate the `update_grid` function into the main game loop to continuously update the state of the grid based on the game rules. This will allow the game to evolve over time, showing different generations of the cell population. I need to ensure that the `update_grid` function is called within the main game loop and that the display is updated accordingly. I will start by checking the current content of the main game loop to see where to integrate the `update_grid` function.\n\nAction:", action=<ActionType.READ: 'read'>)
OBSERVATION:
grid = update_grid(grid)
running = True
# Define grid size and initialize grid
grid_size = (50, 50) # Grid size as a tuple (rows, columns)
def count_alive_neighbors(grid, x, y):
directions = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0), (1, 1)]
def update_grid(grid):
new_grid = [[0 for x in range(grid_size[1])] for y in range(grid_size[0])]
for y in range(grid_size[0]):
for x in range(grid_size[1]):
alive_neighbors = count_alive_neighbors(grid, x, y)
if grid[y][x] == 1 and (alive_neighbors == 2 or alive_neighbors == 3):
new_grid[y][x] = 1
elif grid[y][x] == 0 and alive_neighbors == 3:
new_grid[y][x] = 1
return new_grid
count = 0
for dx, dy in directions:
nx, ny = x + dx, y + dy
if 0 <= nx < grid_size[1] and 0 <= ny < grid_size[0]:
count += grid[ny][nx]
return count
grid = [[0 for x in range(grid_size[1])] for y in range(grid_size[0])] # Initialize grid with zeros
import random
for y in range(grid_size[0]):
for x in range(grid_size[1]):
grid[y][x] = random.randint(0, 1) # Randomly assign cells as alive (1) or dead (0)
while running:
for event in pygame.event.get():
if event.type == pygame.QUIT:
running = False
pygame.display.set_caption("Conway's Game of Life")
pygame.init()
==============
STEP 9
PLAN:
Please make conway's game of life in python using the pygame library. Be sure to use the tools in your workspace to help you out.
Usage(completion_tokens=174, prompt_tokens=3728, total_tokens=3902)
==== RAW OUTPUT ====
Thoughts:
From the previous actions, it seems that the basic structure for Conway's Game of Life using pygame has been set up, including initializing pygame, setting up the display window, defining the main game loop, initializing the grid with random states, and creating functions to count alive neighbors and update the grid. The next step is to ensure that the game loop properly updates the grid and refreshes the display to show the new state of the grid in each iteration. This involves calling `pygame.display.update()` to update the entire screen and using `pygame.time.Clock()` to control the frame rate. I will start by adding these necessary updates to the game loop.
Action:
"""
edit 95 95
pygame.display.update()
clock = pygame.time.Clock()
clock.tick(10) # Control the frame rate (10 frames per second)
"""
==== END RAW ====
ACTION:
FileWriteAction(path='game_of_life.py', content='pygame.display.update()\n clock = pygame.time.Clock()\n clock.tick(10) # Control the frame rate (10 frames per second)', start=95, end=95, thoughts="Thoughts:\nFrom the previous actions, it seems that the basic structure for Conway's Game of Life using pygame has been set up, including initializing pygame, setting up the display window, defining the main game loop, initializing the grid with random states, and creating functions to count alive neighbors and update the grid. The next step is to ensure that the game loop properly updates the grid and refreshes the display to show the new state of the grid in each iteration. This involves calling `pygame.display.update()` to update the entire screen and using `pygame.time.Clock()` to control the frame rate. I will start by adding these necessary updates to the game loop.\n\nAction:", action=<ActionType.WRITE: 'write'>)
OBSERVATION:
WRITE OPERATION:
You have written to "game_of_life.py" on these lines: 95:95.
16:43:55 - opendevin:INFO: agent_controller.py:125 - Exited before finishing the task.
```
## Result:
```
import pygame
# Setup the display window
screen_size = (800, 600)
screen = pygame.display.set_mode(screen_size)
# Main game loop
grid = update_grid(grid)
running = True
# Define grid size and initialize grid
grid_size = (50, 50) # Grid size as a tuple (rows, columns)
def count_alive_neighbors(grid, x, y):
directions = [(-1, -1), (-1, 0), (-1, 1), (0, -1), (0, 1), (1, -1), (1, 0), (1, 1)]
def update_grid(grid):
new_grid = [[0 for x in range(grid_size[1])] for y in range(grid_size[0])]
for y in range(grid_size[0]):
for x in range(grid_size[1]):
alive_neighbors = count_alive_neighbors(grid, x, y)
if grid[y][x] == 1 and (alive_neighbors == 2 or alive_neighbors == 3):
new_grid[y][x] = 1
elif grid[y][x] == 0 and alive_neighbors == 3:
new_grid[y][x] = 1
return new_grid
count = 0
for dx, dy in directions:
nx, ny = x + dx, y + dy
if 0 <= nx < grid_size[1] and 0 <= ny < grid_size[0]:
count += grid[ny][nx]
return count
grid = [[0 for x in range(grid_size[1])] for y in range(grid_size[0])] # Initialize grid with zeros
import random
for y in range(grid_size[0]):
for x in range(grid_size[1]):
grid[y][x] = random.randint(0, 1) # Randomly assign cells as alive (1) or dead (0)
while running:
for event in pygame.event.get():
if event.type == pygame.QUIT:
running = False
pygame.display.set_caption("Conway's Game of Life")
pygame.init()
# This is a placeholder for the game of life implementation using pygame.pygame.display.update()
clock = pygame.time.Clock()
clock.tick(10) # Control the frame rate (10 frames per second)
```

View File

@@ -0,0 +1,5 @@
from opendevin.controller.agent import Agent
from .agent import SWEAgent
Agent.register('SWEAgent', SWEAgent)

115
agenthub/SWE_agent/agent.py Normal file
View File

@@ -0,0 +1,115 @@
from opendevin.controller.agent import Agent
from opendevin.controller.state.state import State
from opendevin.events.action import (
Action,
FileReadAction,
FileWriteAction,
MessageAction,
)
from opendevin.events.serialization.event import event_to_memory
from opendevin.llm.llm import LLM
from .parser import parse_command
from .prompts import (
CONTEXT_PROMPT,
MEMORY_FORMAT,
NO_ACTION,
STEP_PROMPT,
SYSTEM_MESSAGE,
)
class SWEAgent(Agent):
VERSION = '1.0'
DEPRECATED = True
"""
An attempt to recreate swe_agent with output parsing, prompting style, and Application Computer Interface (ACI).
SWE-agent includes ACI functions like 'goto', 'search_for', 'edit', 'scroll', 'run'
"""
def __init__(self, llm: LLM):
super().__init__(llm)
self.memory_window = 4
self.max_retries = 2
self.cur_file: str = ''
self.cur_line: int = 0
def _think_act(self, messages: list[dict]) -> tuple[Action, str]:
resp = self.llm.do_completion(
messages=messages,
temperature=0.05,
)
action_resp = resp['choices'][0]['message']['content']
print(f"\033[1m\033[91m{resp['usage']}\033[0m")
print(
'\n==== RAW OUTPUT ====',
f'\033[96m{action_resp}\033[0m',
'==== END RAW ====\n',
sep='\n',
)
return parse_command(action_resp, self.cur_file, self.cur_line)
def _update(self, action: Action) -> None:
if isinstance(action, (FileReadAction, FileWriteAction)):
self.cur_file = action.path
self.cur_line = action.start
def step(self, state: State) -> Action:
"""
SWE-Agent step:
1. Get context - past actions, custom commands, current step
2. Perform think-act - prompt model for action and reasoning
3. Catch errors - ensure model takes action (5 attempts max)
"""
# retrieve short term memories from state.history, up to memory_window
memory_window = min(self.memory_window, len(state.history))
running_memory: list[str] = []
for prev_action, obs in state.history[-memory_window:]:
running_memory.append(
MEMORY_FORMAT(event_to_memory(prev_action), event_to_memory(obs))
)
goal = state.get_current_user_intent()
# always in the prompt if they exist: file and line
prompt = STEP_PROMPT(goal, self.cur_file, self.cur_line)
# prepare messages
msgs = [
{'content': SYSTEM_MESSAGE, 'role': 'system'},
{'content': prompt, 'role': 'user'},
]
# insert memories
if len(running_memory) > 0:
context = CONTEXT_PROMPT(running_memory, self.memory_window)
msgs.insert(1, {'content': context, 'role': 'user'})
# clrs = [''] * (len(msgs)-2) + ['\033[0;36m', '\033[0;35m']
# print('\n\n'.join([c+m['content']+'\033[0m' for c, m in zip(clrs, msgs)]))
# send it over
action, thought = self._think_act(messages=msgs)
# be robust with malformed responses
start_msg_len = len(msgs)
while not action and len(msgs) < self.max_retries + start_msg_len:
error = NO_ACTION(thought)
error_msg = {'content': error, 'role': 'user'}
msgs.append(error_msg)
action, thought = self._think_act(messages=msgs)
if not action:
action = MessageAction(thought)
self._update(action)
self.latest_action = action
return action
def search_memory(self, query: str) -> list[str]:
# return [item for item in self.running_memory if query in item]
raise NotImplementedError('Search_memory not implemented currently')
def reset(self) -> None:
"""Used to reset the agent"""
super().reset()

View File

@@ -0,0 +1,167 @@
import re
from opendevin.events.action import (
Action,
AgentFinishAction,
BrowseURLAction,
CmdRunAction,
FileReadAction,
FileWriteAction,
MessageAction,
)
from .prompts import COMMAND_USAGE, CUSTOM_DOCS
# commands: exit, read, write, browse, kill, search_file, search_dir
no_open_file_error = MessageAction(
'You are not currently in a file. You can use the read command to open a file and then use goto to navigate through it.'
)
def invalid_error(cmd, docs):
return f"""ERROR:
Invalid command structure for
```
{cmd}
```
You may have caused this error by having multiple commands within your command block.
If so, try again by running only one of the commands:
Try again using this format:
{COMMAND_USAGE[docs]}
"""
def get_action_from_string(
command_string: str, path: str, line: int, thoughts: str = ''
) -> Action | None:
"""
Parses the command string to find which command the agent wants to run
Converts the command into a proper Action and returns
"""
vars = command_string.split(' ')
cmd = vars[0]
args = [] if len(vars) == 1 else vars[1:]
if 'exit' == cmd:
return AgentFinishAction()
elif 'think' == cmd:
return MessageAction(' '.join(args))
elif 'scroll_up' == cmd:
if not path:
return no_open_file_error
return FileReadAction(path, line + 100, line + 200, thoughts)
elif 'scroll_down' == cmd:
if not path:
return no_open_file_error
return FileReadAction(path, line - 100, line, thoughts)
elif 'goto' == cmd:
if not path:
return no_open_file_error
rex = r'^goto\s+(\d+)$'
valid = re.match(rex, command_string)
if valid:
start = int(valid.group(1))
end = start + 100
return FileReadAction(path, start, end, thoughts)
else:
return MessageAction(invalid_error(command_string, 'goto'))
elif 'edit' == cmd:
if not path:
return no_open_file_error
rex = r'^edit\s+(\d+)\s+(-?\d+)\s+(\S.*)$'
valid = re.match(rex, command_string, re.DOTALL)
if valid:
start = int(valid.group(1))
end = int(valid.group(2))
change = valid.group(3)
if '"' == change[-1] and '"' == change[0]:
change = change[1:-1]
return FileWriteAction(path, change, start, end, thoughts)
else:
return MessageAction(invalid_error(command_string, 'edit'))
elif 'read' == cmd:
rex = r'^read\s+(\S+)(?:\s+(\d+))?(?:\s+(-?\d+))?$'
valid = re.match(rex, command_string, re.DOTALL)
if valid:
file = valid.group(1)
start_str = valid.group(2)
end_str = valid.group(3)
start = 0 if not start_str else int(start_str)
end = -1 if not end_str else int(end_str)
return FileReadAction(file, start, end, thoughts)
else:
return MessageAction(invalid_error(command_string, 'read'))
elif 'write' == cmd:
rex = r'^write\s+(\S+)\s+(.*?)\s*(\d+)?\s*(-?\d+)?$'
valid = re.match(rex, command_string, re.DOTALL)
if valid:
file = valid.group(1)
content = valid.group(2)
start_str = valid.group(3)
end_str = valid.group(4)
start = 0 if not start_str else int(start_str)
end = -1 if not end_str else int(end_str)
if '"' == content[-1] and '"' == content[0]:
content = content[1:-1]
return FileWriteAction(file, content, start, end, thoughts)
else:
return MessageAction(invalid_error(command_string, 'write'))
elif 'browse' == cmd:
return BrowseURLAction(args[0].strip())
elif cmd in ['search_file', 'search_dir', 'find_file']:
rex = r'^(search_file|search_dir|find_file)\s+(\S+)(?:\s+(\S+))?$'
valid = re.match(rex, command_string, re.DOTALL)
if valid:
return CmdRunAction(command_string)
else:
return MessageAction(
f'Invalid command structure for\n ```\n{command_string}\n```.\nTry again using this format:\n{CUSTOM_DOCS}'
)
else:
# check bash command
obs = str(CmdRunAction(f'type {cmd}'))
if obs.split(':')[-1].strip() == 'not found':
# echo not found error for llm
return MessageAction(content=obs)
else:
# run valid command
return CmdRunAction(command_string)
def parse_command(input_str: str, path: str, line: int):
"""
Parses a given string and separates the command (enclosed in triple backticks) from any accompanying text.
Args:
input_str (str): The input string to be parsed.
Returns:
tuple: A tuple containing the command and the accompanying text (if any).
"""
input_str = input_str.strip()
if '```' in input_str:
parts = input_str.split('```')
command_str = parts[1].strip()
ind = 2 if len(parts) > 2 else 1
accompanying_text = ''.join(parts[:-ind]).strip()
action = get_action_from_string(command_str, path, line, accompanying_text)
if action:
return action, accompanying_text
return None, input_str # used for retry

View File

@@ -0,0 +1,208 @@
DEFAULT_COMMANDS_DICT = {
'exit': 'Executed when task is complete',
'read <file_name> [<start_line>] [<end_line>]': "Shows a given file's contents starting from <start_line> up to <end_line>. Default: start_line = 0, end_line = -1. By default the whole file will be read.",
'write <file> <changes> [<start_line>] [<end_line>]': 'Modifies a <file> by replacing the current lines between <start_line> and <end_line> with <changes>. Default start_line = 0 and end_line = -1. Calling this with no line args will replace the whole file.',
'browse <url>': 'Returns the text version of any url, this can be useful to look up documentation or finding issues on github',
'scroll_up': 'Takes no arguments. This will scroll up and show you the 100 lines above your current lines',
'scroll_down': 'Takes no arguments. This will scroll down and show you the 100 lines below your current lines',
'edit <start_line> <end_line> <changes>': 'This will modify lines in the currently open file. use start_line and end_line to designate which lines to change and then write the multiline changes. Set end_line to -1 to denote the end of the file',
'goto <line_num>': 'This will take you directly to a line and show you the 100 lines below it.',
'<bash_command> <args>': 'You can use any bash command you need (cd, ls, rm, grep, dir, mv, wget, git, zip, etc.) with their arguments included',
'pip install <package>': 'You can use this to import python packages. Make sure you include the correct package name when using this command.',
'ls': 'Use the ls command to view all the files in your current directory, this is a good starting point.',
'NOT ALLOWED': 'You cannot use interactive commands like python or node',
}
COMMAND_USAGE = {
'exit': 'Usage:\n```\nexit\n```\nExecuted when task is complete',
'read': "Args:\n<file_name> [<start_line>] [<end_line>]\nUsage:\n```\nread file.py\n```\nor\n```\nread example.py <start_line> <end_line>\n```\nShows a given file's contents starting from <start_line> up to <end_line>. Default: start_line = 0, end_line = -1. by default the whole file will be read.",
'write': 'Args:\n<file> <changes> [<start_line>] [<end_line>]\nUsage:\n```\nwrite "def main():\n print("This is line one")" 0 2\n```\nModifies a <file> by replacing the current lines between <start_line> and <end_line> with <changes>. Default start_line = 0 and end_line = -1. Calling this with no line args will replace the whole file.',
'edit': 'Args:\n<start_line> <end_line> <changes>\nUsage:\n```\nedit 0 1 import pandas as pd\n```\nThis will modify the current file you are in with the changes you make between the line numbers you designate',
'goto': 'Args:\n<line_num>\nUsage:\n```\ngoto <line_num>\n```\nThis will show you the 100 lines below and including the line you specify within your current file.',
'scroll_up': 'Usage:\n```\nscroll_up\n```\nThis will return the 100 lines above where you are currently at',
'scroll_down': 'Usage:\n```\nscroll_down\n```\nThis will return the 100 line below where you are currently at',
'browse': 'Args:\n<url>\nUsage:\n```\nbrowse https://github.com/OpenDevin/OpenDevin\n```\nThis will fetch the Text elements from the given url and show them to you.',
}
DEFAULT_COMMANDS = '\n'.join([k + ' - ' + v for k, v in DEFAULT_COMMANDS_DICT.items()])
# from opendevin.parse_commands import parse_command_file
# USE parse_command_file(filepath) to get the custom commands
CUSTOM_DOCS = None
CUSTOM_COMMANDS = f"""Custom bash commands:
{CUSTOM_DOCS}
"""
DOCUMENTATION = f"""DOCUMENTATION:
It is recommend that you use the commands provided for interacting with files and your directory because they have been specially built for you.
They will make it much easier for you to look at files and make changes. Using these commands will help you be better at your task.
You can open an file by using either the read or write operations.
- If a file already exists you should read it before making any changes. Use the `edit` command to make changes once you have read it.
- If you are creating a new file use the write command. Use the `edit` command to make changes once you have created the new file.
Commands:
{DEFAULT_COMMANDS}
{CUSTOM_COMMANDS}
The following commands require an open file to be used: edit, scroll_up, scroll_down, goto
To modify the current file use 'edit'. To move through the current file use 'goto' or 'scroll_up'/'scroll_down'
when using write and edit do not surround the code with any "" just write the code.
"""
GENERAL_GUIDELINES = """INSTRUCTIONS:
Now, you're going to solve this issue on your own. You can use any bash commands or custom commands you wish to complete your task. Edit all the files you need to and run any checks or tests that you want.
Remember, YOU CAN ONLY ENTER ONE COMMAND AT A TIME. You should always wait for feedback after every command.
When you're satisfied with all of the changes you've made, you can indicate that you are done by running the exit command.
Note however that you cannot use any interactive session commands (e.g. python, vim, node) in this environment, but you can write scripts and run them. E.g. you can write a python script and then run it with `python <script_name>.py`.
NOTE ABOUT THE write COMMAND: Indentation really matters! When editing a file, make sure to insert appropriate indentation before each line!
IMPORTANT TIPS:
1. Reproduce the bug: Always start by trying to replicate the bug that the issue discusses. If the issue includes code for reproducing the bug, we recommend that you re-implement that in your environment and run it to ensure you can reproduce the bug. Then, start trying to fix it. When you think you've fixed the bug, re-run the bug reproduction script to make sure that the issue has indeed been resolved.
If the bug reproduction script does not print anything when it successfully runs, we recommend adding a print("Script completed successfully, no errors.") command at the end of the file, so that you can be sure the script ran fine all the way through.
2. Try different commands: If you run a command and it doesn't work, try running a different command. A command that did not work once will not work the second time unless you modify it.
3. Navigate large files: If you open a file and need to get to an area around a specific line that is not in the first 100 lines, say line 583, you would use the 'read' command like this: 'read <file> 583'. This is a much faster way to read through the file.
4. Handle input files: If the bug reproduction script requires inputting/reading a specific file, such as 'buggy-input.png', and you'd like to understand how to input that file, conduct a search in the existing repository code to see whether someone else has already done that. Do this by running the command: 'search_dir "buggy-input.png"'. If that doesn't work, use the Linux 'find' command.
5. Understand your context: Always make sure to look at the currently open file and the current working directory. The currently open file might be in a different directory than the working directory.
6. Verify your edits: When editing files, it is easy to accidentally specify a wrong line number or to write code with incorrect indentation. Always check the code after you issue an edit to make sure that it reflects what you wanted to accomplish. If it didn't, issue another command to fix it.
7. Thoroughly test your solution: After making any changes to fix a bug, be sure to thoroughly test your solution to ensure the bug has been resolved. Re-run the bug reproduction script and verify that the issue has been addressed.
"""
RESPONSE_FORMAT = """RESPONSE FORMAT:
This is the format of the response you will make in order to solve the current issue.
You will be given multiple iterations to complete this task so break it into steps and solve them one by one.
Your output must contain the following:
- First, thoughts about what your next action should be and plan it out.
- You will have a memory of your thoughts so you can use this to remember things for the next step.
- Use your thoughts to think about what you are currently doing, what you have done on prior steps and how that relates to solving the problem.
- Second, create a piece of code that will execute your next action based on the thoughts you have.
- Remember that you can only have one action for each thought, do not include multiple actions.
Your code MUST be surrounded in triple back ticks EXACTLY like this:
```
<code>
```
Notes:
- Adhere to the format so that the program loop continues smoothly, it is very important to only give one command per output.
- DO NOT give more than one command within the triple backticks. This will just throw an error and nothing will happen as a result.
- Do not give multiple code blocks, if you do only the second one will be captured and run, this might give an error if the first one was necessary.
- To execute multiple commands you should write them down in your thoughts section so you can remember it on the next step and execute them then.
- The only commands you are not capable of executing are interactive commands like `python` or `node` by themselves.
- If you think that you have completed the task that has been given to you based on your previous actions and outputs then use ``` exit ``` as the command to let the system know that you are done.
- DO NOT make any copies of your previous memories, those will be provided to you at each step, making copies just wastes time and energy. Think smarter not harder.
- The write and edit commands requires proper indentation in the content section ex. `write hw.py def hello():\n print(\'Hello World\')` this is how you would have to format your write command.
- The white spaces matter as the code changes will be added to the code so they must have proper syntax.
This is a template using the format described above
Items in <> are suggestions for you, fill them out based on the context of the problem you are solving.
[ FORMAT ]
Thoughts:
<Provide clear and concise thoughts on the next step to take, highlighting any important details or context that should be remembered.>
<You can use multiple lines to express your thoughts>
Action:
```
<command> <params>
```
[ END FORMAT ]
Do not provide anything extra just your thought and action.
"""
SYSTEM_MESSAGE = f"""SYSTEM INFO:
You are an autonomous coding agent, here to provide solutions for coding issues.
You have been designed to assist with a wide range of programming tasks, from code editing and debugging to testing and deployment.
You have access to a variety of tools and commands that you can use to help you solve problems efficiently.
{GENERAL_GUIDELINES}
{DOCUMENTATION}
""".strip()
def NO_ACTION(latest):
return f"""
You did not include any action to take in your most recent output:
===== Output ======
{latest}
==== End Output ===
Remember these are the custom commands you can use:
{DOCUMENTATION}
Lets try that again, it is very important that you adhere to the output format
This time, be sure to use the exact format below, replacing anything in <> with the appropriate value(s):
{RESPONSE_FORMAT}
It is crucial you use the format provided as the output will be parsed automatically.
"""
def file_info(file: str, line: int):
if file:
return f"""CURRENT WORKSPACE:
Open File: {file} on line {line}
You can use these commands with the current file:
Navigation: `scroll_up`, `scroll_down`, and `goto <line>`
Modification: `edit <start_line> <end_line> <changes>`
"""
def STEP_PROMPT(task, file, line_num):
return f"""
{RESPONSE_FORMAT}
You are currently trying to complete this task:
{task}
{file_info(file, line_num)}
Keep all of the guidelines above in mind when you are thinking and making code.
Please come up with a thought and action based on your current task and latest steps.
Make sure that you do not repeat the same actions, there will not be any changes in result if you do not changes anything.
Be very strict about the formatting that you use and make sure you follow the guidelines.
NEVER output multiple commands. ONLY take ONE STEP at a time.
When you have completed your task run the "exit" command.
Begin with your thought about the next step and then come up with an action to perform your thought.
""".strip()
def unpack_dict(data: dict, restrict: list[str] | None = None):
lines = []
restrict = [] if restrict is None else restrict
for key, value in data.items():
if key in restrict:
continue
elif isinstance(value, dict):
nested_str = unpack_dict(value, restrict).replace('\n', '\n ')
val = f'{key}:' + '\n ' + f'{nested_str}'
lines.append(val)
else:
lines.append(f'{key}: {value}')
return '\n'.join(lines)
def MEMORY_FORMAT(act, obs):
return f"""
Previous Action:
{unpack_dict(act, ["content"])}
Output from Action:
{unpack_dict(obs)}
""".strip()
def CONTEXT_PROMPT(memory, window):
res = f'These are your past {window} actions:\n'
window_size = window if len(memory) > window else len(memory)
cur_mems = memory[-window_size:]
res += '===== Previous Actions =====\n'
for idx, mem in enumerate(cur_mems):
res += f'\nMemory {idx}:\n{mem}\n'
res += '======= End Actions =======\n'
res += 'Use these memories to provide additional context to the problem you are solving.\nRemember that you have already completed these steps so you do not need to perform them again.'
return res

View File

@@ -1,25 +1,30 @@
from dotenv import load_dotenv
from openhands.agenthub.micro.agent import MicroAgent
from openhands.agenthub.micro.registry import all_microagents
from openhands.controller.agent import Agent
from opendevin.controller.agent import Agent
from .micro.agent import MicroAgent
from .micro.registry import all_microagents
load_dotenv()
from openhands.agenthub import ( # noqa: E402
from . import ( # noqa: E402
SWE_agent,
browsing_agent,
codeact_agent,
codeact_swe_agent,
delegator_agent,
dummy_agent,
monologue_agent,
planner_agent,
)
__all__ = [
'monologue_agent',
'codeact_agent',
'codeact_swe_agent',
'planner_agent',
'SWE_agent',
'delegator_agent',
'dummy_agent',
'browsing_agent',

View File

@@ -8,9 +8,9 @@ This folder implements the basic BrowserGym [demo agent](https://github.com/Serv
Note that for browsing tasks, GPT-4 is usually a requirement to get reasonable results, due to the complexity of the web page structures.
```
poetry run python ./openhands/core/main.py \
poetry run python ./opendevin/core/main.py \
-i 10 \
-t "tell me the usa's president using google search" \
-c BrowsingAgent \
-m claude-3-5-sonnet-20241022
-m gpt-4o-2024-05-13
```

View File

@@ -0,0 +1,5 @@
from opendevin.controller.agent import Agent
from .browsing_agent import BrowsingAgent
Agent.register('BrowsingAgent', BrowsingAgent)

View File

@@ -0,0 +1,167 @@
import ast
from browsergym.core.action.highlevel import HighLevelActionSet
from browsergym.utils.obs import flatten_axtree_to_str
from opendevin.controller.agent import Agent
from opendevin.controller.state.state import State
from opendevin.core.logger import opendevin_logger as logger
from opendevin.events.action import (
Action,
AgentFinishAction,
BrowseInteractiveAction,
MessageAction,
)
from opendevin.events.observation import BrowserOutputObservation
from opendevin.llm.llm import LLM
from opendevin.runtime.plugins import (
PluginRequirement,
)
def parse_response(response: str) -> Action:
if '```' not in response:
# unexpected response format, message back to user
return MessageAction(response)
thought = response.split('```')[0].strip()
action_str = response.split('```')[1].strip()
# handle send message to user function call in BrowserGym
for sub_action in action_str.split('\n'):
if 'send_msg_to_user(' in sub_action:
tree = ast.parse(sub_action)
args = tree.body[0].value.args # type: ignore
return MessageAction(args[0].value)
return BrowseInteractiveAction(browser_actions=action_str, thought=thought)
class BrowsingAgent(Agent):
VERSION = '1.0'
"""
An agent that interacts with the browser.
"""
sandbox_plugins: list[PluginRequirement] = []
def __init__(
self,
llm: LLM,
) -> None:
"""
Initializes a new instance of the BrowsingAgent class.
Parameters:
- llm (LLM): The llm to be used by this agent
"""
super().__init__(llm)
self.action_space = HighLevelActionSet(
# see https://github.com/ServiceNow/BrowserGym/blob/main/core/src/browsergym/core/action/highlevel.py for more details
subsets=[
'chat',
'bid',
'nav',
], # define a configurable action space, with chat functionality, web navigation, and webpage grounding using accessibility tree and HTML.
strict=False, # less strict on the parsing of the actions
multiaction=True, # enable to agent to take multiple actions at once
)
self.reset()
def reset(self) -> None:
"""
Resets the Browsing Agent.
"""
super().reset()
self.cost_accumulator = 0
def step(self, state: State) -> Action:
"""
Performs one step using the Browsing Agent.
This includes gathering information on previous steps and prompting the model to make a browsing command to execute.
Parameters:
- state (State): used to get updated info
Returns:
- BrowseInteractiveAction(browsergym_command) - BrowserGym commands to run
- MessageAction(content) - Message action to run (e.g. ask for clarification)
- AgentFinishAction() - end the interaction
"""
goal = state.get_current_user_intent()
messages = []
prev_actions = ''
cur_axtree_txt = ''
error_prefix = ''
last_obs = None
for prev_action, obs in state.history:
if isinstance(prev_action, BrowseInteractiveAction):
prev_actions += f'{prev_action.browser_actions}\n'
last_obs = obs
elif (
isinstance(prev_action, MessageAction) and prev_action.source != 'user'
):
# agent has responded, task finish.
return AgentFinishAction()
if isinstance(last_obs, BrowserOutputObservation):
if last_obs.error:
# add error recovery prompt prefix
error_prefix = f'IMPORTANT! Last action is incorrect:\n{last_obs.last_browser_action}\nThink again with the current observation of the page.\n'
cur_axtree_txt = flatten_axtree_to_str(last_obs.axtree_object)
system_msg = f"""\
# Instructions
Review the current state of the page and all other information to find the best
possible next action to accomplish your goal. Your answer will be interpreted
and executed by a program, make sure to follow the formatting instructions.
# Goal:
{goal}
# Action Space
{self.action_space.describe(with_long_description=False, with_examples=True)}
"""
messages.append({'role': 'system', 'content': system_msg})
prompt = f"""\
{error_prefix}
# Current Accessibility Tree:
{cur_axtree_txt}
# Previous Actions
{prev_actions}
Here is an example with chain of thought of a valid action when clicking on a button:
"
In order to accomplish my goal I need to click on the button with bid 12
```click("12")```
"
""".strip()
messages.append({'role': 'user', 'content': prompt})
response = self.llm.completion(
messages=messages,
temperature=0.0,
)
self.log_cost(response)
action_resp = response['choices'][0]['message']['content']
logger.info(prompt)
logger.info(action_resp)
return parse_response(action_resp)
def search_memory(self, query: str) -> list[str]:
raise NotImplementedError('Implement this abstract method')
def log_cost(self, response):
# TODO: refactor to unified cost tracking
try:
cur_cost = self.llm.completion_cost(response)
except Exception:
cur_cost = 0
self.cost_accumulator += cur_cost
logger.info(
'Cost: %.2f USD | Accumulated Cost: %.2f USD',
cur_cost,
self.cost_accumulator,
)

View File

@@ -12,11 +12,12 @@ from browsergym.core.action.base import AbstractActionSet
from browsergym.core.action.highlevel import HighLevelActionSet
from browsergym.core.action.python import PythonActionSet
from openhands.agenthub.browsing_agent.utils import (
from opendevin.runtime.browser.browser_env import BrowserEnv
from .utils import (
ParseError,
parse_html_tags_raise,
)
from openhands.runtime.browser.browser_env import BrowserEnv
@dataclass
@@ -57,7 +58,7 @@ class Flags:
@classmethod
def from_dict(self, flags_dict):
"""Helper for JSON serializable requirement."""
"""Helper for JSON serializble requirement."""
if isinstance(flags_dict, Flags):
return flags_dict
@@ -74,8 +75,7 @@ class PromptElement:
Prompt elements are used to build the prompt. Use flags to control which
prompt elements are visible. We use class attributes as a convenient way
to implement static prompts, but feel free to override them with instance
attributes or @property decorator.
"""
attributes or @property decorator."""
_prompt = ''
_abstract_ex = ''
@@ -146,7 +146,7 @@ class Shrinkable(PromptElement, abc.ABC):
"""Implement shrinking of this prompt element.
You need to recursively call all shrinkable elements that are part of
this prompt. You can also implement a shrinking strategy for this prompt.
this prompt. You can also implement a shriking startegy for this prompt.
Shrinking is can be called multiple times to progressively shrink the
prompt until it fits max_tokens. Default max shrink iterations is 20.
"""
@@ -161,7 +161,7 @@ class Truncater(Shrinkable):
def __init__(self, visible, shrink_speed=0.3, start_truncate_iteration=10):
super().__init__(visible=visible)
self.shrink_speed = shrink_speed # the percentage shrunk in each iteration
self.shrink_speed = shrink_speed # the percentage shrinked in each iteration
self.start_truncate_iteration = (
start_truncate_iteration # the iteration to start truncating
)
@@ -200,10 +200,11 @@ def fit_tokens(
model_name : str, optional
The name of the model used when tokenizing.
Returns:
Returns
-------
str : the prompt after shrinking.
"""
if max_prompt_chars is None:
return shrinkable.prompt
@@ -354,7 +355,7 @@ and executed by a program, make sure to follow the formatting instructions.
self._prompt += '\n'.join(
[
f"""\
- [{msg['role']}], {msg['message']}"""
- [{msg['role']}] {msg['message']}"""
for msg in chat_messages
]
)
@@ -493,13 +494,11 @@ def _get_action_space(flags: Flags) -> AbstractActionSet:
action_space = PythonActionSet(strict=flags.is_strict)
if flags.multi_actions:
warn(
f'Flag action_space={repr(flags.action_space)} incompatible with multi_actions={repr(flags.multi_actions)}.',
stacklevel=2,
f'Flag action_space={repr(flags.action_space)} incompatible with multi_actions={repr(flags.multi_actions)}.'
)
if flags.demo_mode != 'off':
warn(
f'Flag action_space={repr(flags.action_space)} incompatible with demo_mode={repr(flags.demo_mode)}.',
stacklevel=2,
f'Flag action_space={repr(flags.action_space)} incompatible with demo_mode={repr(flags.demo_mode)}.'
)
return action_space
case 'bid':
@@ -578,8 +577,8 @@ the form is not visible yet or some fields are disabled. I need to replan.
def diff(previous, new):
"""Return a string showing the difference between original and new.
If the difference is above diff_threshold, return the diff string.
"""
If the difference is above diff_threshold, return the diff string."""
if previous == new:
return 'Identical', []

View File

@@ -7,6 +7,7 @@ import yaml
def yaml_parser(message):
"""Parse a yaml message for the retry function."""
# saves gpt-3.5 from some yaml parsing errors
message = re.sub(r':\s*\n(?=\S|\n)', ': ', message)
@@ -15,7 +16,7 @@ def yaml_parser(message):
valid = True
retry_message = ''
except yaml.YAMLError as e:
warn(str(e), stacklevel=2)
warn(str(e))
value = {}
valid = False
retry_message = "Your response is not a valid yaml. Please try again and be careful to the format. Don't add any apology or comment, just the answer."
@@ -46,6 +47,7 @@ def _compress_chunks(text, identifier, skip_list, split_regex='\n\n+'):
def compress_string(text):
"""Compress a string by replacing redundant paragraphs and lines with identifiers."""
# Perform paragraph-level compression
def_dict, compressed_text = _compress_chunks(
text, identifier='§', skip_list=[], split_regex='\n\n+'
@@ -77,12 +79,12 @@ def extract_html_tags(text, keys):
keys : list of str
The HTML tags to extract the content from.
Returns:
Returns
-------
dict
A dictionary mapping each key to a list of subset in `text` that match the key.
Notes:
Notes
-----
All text and keys will be converted to lowercase before matching.
@@ -124,7 +126,7 @@ def parse_html_tags(text, keys=(), optional_keys=(), merge_multiple=False):
optional_keys : list of str
The HTML tags to extract the content from, but are optional.
Returns:
Returns
-------
dict
A dictionary mapping each key to subset of `text` that match the key.

View File

@@ -0,0 +1,29 @@
# CodeAct Agent Framework
This folder implements the CodeAct idea ([paper](https://arxiv.org/abs/2402.01030), [tweet](https://twitter.com/xingyaow_/status/1754556835703751087)) that consolidates LLM agents **act**ions into a unified **code** action space for both *simplicity* and *performance* (see paper for more details).
The conceptual idea is illustrated below. At each turn, the agent can:
1. **Converse**: Communicate with humans in natural language to ask for clarification, confirmation, etc.
2. **CodeAct**: Choose to perform the task by executing code
- Execute any valid Linux `bash` command
- Execute any valid `Python` code with [an interactive Python interpreter](https://ipython.org/). This is simulated through `bash` command, see plugin system below for more details.
![image](https://github.com/OpenDevin/OpenDevin/assets/38853559/92b622e3-72ad-4a61-8f41-8c040b6d5fb3)
## Plugin System
To make the CodeAct agent more powerful with only access to `bash` action space, CodeAct agent leverages OpenDevin's plugin system:
- [Jupyter plugin](https://github.com/OpenDevin/OpenDevin/tree/main/opendevin/runtime/plugins/jupyter): for IPython execution via bash command
- [SWE-agent tool plugin](https://github.com/OpenDevin/OpenDevin/tree/main/opendevin/runtime/plugins/swe_agent_commands): Powerful bash command line tools for software development tasks introduced by [swe-agent](https://github.com/princeton-nlp/swe-agent).
## Demo
https://github.com/OpenDevin/OpenDevin/assets/38853559/f592a192-e86c-4f48-ad31-d69282d5f6ac
*Example of CodeActAgent with `gpt-4-turbo-2024-04-09` performing a data science task (linear regression)*
## Work-in-progress & Next step
[] Support web-browsing
[] Complete the workflow for CodeAct agent to submit Github PRs

View File

@@ -0,0 +1,5 @@
from opendevin.controller.agent import Agent
from .codeact_agent import CodeActAgent
Agent.register('CodeActAgent', CodeActAgent)

View File

@@ -0,0 +1,281 @@
import re
from agenthub.codeact_agent.prompt import (
COMMAND_DOCS,
EXAMPLES,
GITHUB_MESSAGE,
SYSTEM_PREFIX,
SYSTEM_SUFFIX,
)
from opendevin.controller.agent import Agent
from opendevin.controller.state.state import State
from opendevin.events.action import (
Action,
AgentFinishAction,
BrowseInteractiveAction,
CmdRunAction,
IPythonRunCellAction,
MessageAction,
)
from opendevin.events.observation import (
BrowserOutputObservation,
CmdOutputObservation,
IPythonRunCellObservation,
)
from opendevin.llm.llm import LLM
from opendevin.runtime.plugins import (
AgentSkillsRequirement,
JupyterRequirement,
PluginRequirement,
)
ENABLE_GITHUB = True
def parse_response(response) -> str:
action = response.choices[0].message.content
for lang in ['bash', 'ipython', 'browse']:
if f'<execute_{lang}>' in action and f'</execute_{lang}>' not in action:
action += f'</execute_{lang}>'
return action
def action_to_str(action: Action) -> str:
if isinstance(action, CmdRunAction):
return f'{action.thought}\n<execute_bash>\n{action.command}\n</execute_bash>'
elif isinstance(action, IPythonRunCellAction):
return f'{action.thought}\n<execute_ipython>\n{action.code}\n</execute_ipython>'
elif isinstance(action, BrowseInteractiveAction):
return f'{action.thought}\n<execute_browse>\n{action.browser_actions}\n</execute_browse>'
elif isinstance(action, MessageAction):
return action.content
return ''
def get_action_message(action: Action) -> dict[str, str] | None:
if (
isinstance(action, BrowseInteractiveAction)
or isinstance(action, CmdRunAction)
or isinstance(action, IPythonRunCellAction)
or isinstance(action, MessageAction)
):
return {
'role': 'user' if action.source == 'user' else 'assistant',
'content': action_to_str(action),
}
return None
def get_observation_message(obs) -> dict[str, str] | None:
if isinstance(obs, CmdOutputObservation):
content = 'OBSERVATION:\n' + truncate_observation(obs.content)
content += (
f'\n[Command {obs.command_id} finished with exit code {obs.exit_code}]]'
)
return {'role': 'user', 'content': content}
elif isinstance(obs, IPythonRunCellObservation):
content = 'OBSERVATION:\n' + obs.content
# replace base64 images with a placeholder
splitted = content.split('\n')
for i, line in enumerate(splitted):
if '![image](data:image/png;base64,' in line:
splitted[i] = (
'![image](data:image/png;base64, ...) already displayed to user'
)
content = '\n'.join(splitted)
content = truncate_observation(content)
return {'role': 'user', 'content': content}
elif isinstance(obs, BrowserOutputObservation):
content = 'OBSERVATION:\n' + truncate_observation(obs.content)
return {'role': 'user', 'content': content}
return None
def truncate_observation(observation: str, max_chars: int = 10_000) -> str:
"""
Truncate the middle of the observation if it is too long.
"""
if len(observation) <= max_chars:
return observation
half = max_chars // 2
return (
observation[:half]
+ '\n[... Observation truncated due to length ...]\n'
+ observation[-half:]
)
# FIXME: We can tweak these two settings to create MicroAgents specialized toward different area
def get_system_message() -> str:
if ENABLE_GITHUB:
return f'{SYSTEM_PREFIX}\n{GITHUB_MESSAGE}\n\n{COMMAND_DOCS}\n\n{SYSTEM_SUFFIX}'
else:
return f'{SYSTEM_PREFIX}\n\n{COMMAND_DOCS}\n\n{SYSTEM_SUFFIX}'
def get_in_context_example() -> str:
return EXAMPLES
class CodeActAgent(Agent):
VERSION = '1.5'
"""
The Code Act Agent is a minimalist agent.
The agent works by passing the model a list of action-observation pairs and prompting the model to take the next step.
### Overview
This agent implements the CodeAct idea ([paper](https://arxiv.org/abs/2402.13463), [tweet](https://twitter.com/xingyaow_/status/1754556835703751087)) that consolidates LLM agents **act**ions into a unified **code** action space for both *simplicity* and *performance* (see paper for more details).
The conceptual idea is illustrated below. At each turn, the agent can:
1. **Converse**: Communicate with humans in natural language to ask for clarification, confirmation, etc.
2. **CodeAct**: Choose to perform the task by executing code
- Execute any valid Linux `bash` command
- Execute any valid `Python` code with [an interactive Python interpreter](https://ipython.org/). This is simulated through `bash` command, see plugin system below for more details.
![image](https://github.com/OpenDevin/OpenDevin/assets/38853559/92b622e3-72ad-4a61-8f41-8c040b6d5fb3)
### Plugin System
To make the CodeAct agent more powerful with only access to `bash` action space, CodeAct agent leverages OpenDevin's plugin system:
- [Jupyter plugin](https://github.com/OpenDevin/OpenDevin/tree/main/opendevin/runtime/plugins/jupyter): for IPython execution via bash command
- [SWE-agent tool plugin](https://github.com/OpenDevin/OpenDevin/tree/main/opendevin/runtime/plugins/swe_agent_commands): Powerful bash command line tools for software development tasks introduced by [swe-agent](https://github.com/princeton-nlp/swe-agent).
### Demo
https://github.com/OpenDevin/OpenDevin/assets/38853559/f592a192-e86c-4f48-ad31-d69282d5f6ac
*Example of CodeActAgent with `gpt-4-turbo-2024-04-09` performing a data science task (linear regression)*
### Work-in-progress & Next step
[] Support web-browsing
[] Complete the workflow for CodeAct agent to submit Github PRs
"""
sandbox_plugins: list[PluginRequirement] = [
# NOTE: AgentSkillsRequirement need to go before JupyterRequirement, since
# AgentSkillsRequirement provides a lot of Python functions
# and it need to be initialized before Jupyter for Jupyter to use those functions.
AgentSkillsRequirement(),
JupyterRequirement(),
]
jupyter_kernel_init_code: str = 'from agentskills import *'
system_message: str = get_system_message()
in_context_example: str = f"Here is an example of how you can interact with the environment for task solving:\n{get_in_context_example()}\n\nNOW, LET'S START!"
def __init__(
self,
llm: LLM,
) -> None:
"""
Initializes a new instance of the CodeActAgent class.
Parameters:
- llm (LLM): The llm to be used by this agent
"""
super().__init__(llm)
self.reset()
def reset(self) -> None:
"""
Resets the CodeAct Agent.
"""
super().reset()
def step(self, state: State) -> Action:
"""
Performs one step using the CodeAct Agent.
This includes gathering info on previous steps and prompting the model to make a command to execute.
Parameters:
- state (State): used to get updated info and background commands
Returns:
- CmdRunAction(command) - bash command to run
- IPythonRunCellAction(code) - IPython code to run
- BrowseInteractiveAction(browsergym_command) - BrowserGym commands to run
- MessageAction(content) - Message action to run (e.g. ask for clarification)
- AgentFinishAction() - end the interaction
"""
messages: list[dict[str, str]] = [
{'role': 'system', 'content': self.system_message},
{'role': 'user', 'content': self.in_context_example},
]
for prev_action, obs in state.history:
action_message = get_action_message(prev_action)
if action_message:
messages.append(action_message)
obs_message = get_observation_message(obs)
if obs_message:
messages.append(obs_message)
latest_user_message = [m for m in messages if m['role'] == 'user'][-1]
if latest_user_message:
if latest_user_message['content'].strip() == '/exit':
return AgentFinishAction()
latest_user_message['content'] += (
f'\n\nENVIRONMENT REMINDER: You have {state.max_iterations - state.iteration} turns left to complete the task.'
)
response = self.llm.do_completion(
messages=messages,
stop=[
'</execute_ipython>',
'</execute_bash>',
'</execute_browse>',
],
temperature=0.0,
)
action_str: str = parse_response(response)
state.num_of_chars += sum(
len(message['content']) for message in messages
) + len(action_str)
if finish_command := re.search(r'<finish>.*</finish>', action_str, re.DOTALL):
thought = action_str.replace(finish_command.group(0), '').strip()
return AgentFinishAction(thought=thought)
if bash_command := re.search(
r'<execute_bash>(.*?)</execute_bash>', action_str, re.DOTALL
):
# remove the command from the action string to get thought
thought = action_str.replace(bash_command.group(0), '').strip()
# a command was found
command_group = bash_command.group(1).strip()
if command_group.strip() == 'exit':
return AgentFinishAction()
return CmdRunAction(command=command_group, thought=thought)
elif python_code := re.search(
r'<execute_ipython>(.*?)</execute_ipython>', action_str, re.DOTALL
):
# a code block was found
code_group = python_code.group(1).strip()
thought = action_str.replace(python_code.group(0), '').strip()
return IPythonRunCellAction(
code=code_group,
thought=thought,
kernel_init_code=self.jupyter_kernel_init_code,
)
elif browse_command := re.search(
r'<execute_browse>(.*)</execute_browse>', action_str, re.DOTALL
):
# BrowserGym actions was found
browse_actions = browse_command.group(1).strip()
thought = action_str.replace(browse_command.group(0), '').strip()
return BrowseInteractiveAction(
browser_actions=browse_actions, thought=thought
)
else:
# We assume the LLM is GOOD enough that when it returns pure natural language
# it want to talk to the user
return MessageAction(content=action_str, wait_for_response=True)
def search_memory(self, query: str) -> list[str]:
raise NotImplementedError('Implement this abstract method')

View File

@@ -0,0 +1,249 @@
from opendevin.runtime.plugins import AgentSkillsRequirement
_AGENT_SKILLS_DOCS = AgentSkillsRequirement.documentation
COMMAND_DOCS = (
'\nApart from the standard Python library, the assistant can also use the following functions (already imported) in <execute_ipython> environment:\n'
f'{_AGENT_SKILLS_DOCS}'
"Please note that THE `edit_file` FUNCTION REQUIRES PROPER INDENTATION. If the assistant would like to add the line ' print(x)', it must fully write that out, with all those spaces before the code! Indentation is important and code that is not indented correctly will fail and require fixing before it can be run."
)
# ======= SYSTEM MESSAGE =======
MINIMAL_SYSTEM_PREFIX = """A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
The assistant can interact with an interactive Python (Jupyter Notebook) environment and receive the corresponding output when needed. The code should be enclosed using "<execute_ipython>" tag, for example:
<execute_ipython>
print("Hello World!")
</execute_ipython>
The assistant can execute bash commands on behalf of the user by wrapping them with <execute_bash> and </execute_bash>.
For example, you can list the files in the current directory by <execute_bash> ls </execute_bash>.
"""
BROWSING_PREFIX = """The assistant can browse the Internet with commands on behalf of the user by wrapping them with <execute_browse> and </execute_browse>.
For example, you can browse a given URL by <execute_browse> goto("<URL>") </execute_browse>.
The assistant should attempt fewer things at a time instead of putting too much commands OR code in one "execute" block.
"""
PIP_INSTALL_PREFIX = """The assistant can install Python packages using the %pip magic command in an IPython environment by using the following syntax: <execute_ipython> %pip install [package needed] </execute_ipython> and should always import packages and define variables before starting to use them."""
SYSTEM_PREFIX = MINIMAL_SYSTEM_PREFIX + BROWSING_PREFIX + PIP_INSTALL_PREFIX
GITHUB_MESSAGE = """To do any activities on GitHub, the assistant should use the token in the $GITHUB_TOKEN environment variable.
For instance, to push a local branch `my_branch` to the github repo `owner/repo`, the assistant can use the following four commands:
<execute_bash> git push https://$GITHUB_TOKEN@github.com/owner/repo.git my_branch </execute_bash>
If the assistant require access to GitHub but $GITHUB_TOKEN is not set, ask the user to set it."""
SYSTEM_SUFFIX = """The assistant's response should be concise.
The assistant should include ONLY ONE <execute_ipython> or <execute_bash> or <execute_browse> in every one of the responses, unless the assistant is finished with the task or need more input or action from the user in order to proceed.
IMPORTANT: Whenever possible, execute the code for the user using <execute_ipython> or <execute_bash> or <execute_browse> instead of providing it.
"""
# ======= EXAMPLE MESSAGE =======
EXAMPLES = """
--- START OF EXAMPLE ---
USER: Can you create a list of numbers from 1 to 10, and create a web page to display them at port 5000?
ASSISTANT:
Sure! Let me create a file first:
<execute_ipython>
create_file('app.py')
</execute_ipython>
USER:
OBSERVATION:
[File: /workspace/app.py (1 lines total)]
1|
[File app.py created.]
ASSISTANT:
Now I will write the Python code for starting a web server and save it to the file `app.py`:
<execute_ipython>
EDITED_CODE=\"\"\"from flask import Flask
app = Flask(__name__)
@app.route('/')
def index():
numbers = list(range(1, 11))
return str(numbers)
if __name__ == '__main__':
app.run(port=5000)\"\"\"
edit_file(start=1, end=1, content=EDITED_CODE)
</execute_ipython>
USER:
OBSERVATION:
1|from flask import Flask
2|app = Flask(__name__)
3|
4|@app.route('/')
5|def index():
6| numbers = list(range(1, 11))
7| return str(numbers)
8|
9|if __name__ == '__main__':
10| app.run(port=5000)
[File updated. Please review the changes and make sure they are correct (correct indentation, no duplicate lines, etc). Edit the file again if necessary.]
ASSISTANT:
I have created a Python file `app.py` that will display a list of numbers from 1 to 10 when you run it. Let me run the Python file for you:
<execute_bash>
python3 app.py > server.log 2>&1 &
</execute_bash>
USER:
OBSERVATION:
[1] 121[1]+ Exit 1 python3 app.py > server.log 2>&1
ASSISTANT: Looks like the server is running with PID 121 then crashed. Let me check the server log:
<execute_bash>
cat server.log
</execute_bash>
USER:
OBSERVATION:
Traceback (most recent call last):
File "/workspace/app.py", line 2, in <module>
from flask import Flask
ModuleNotFoundError: No module named 'flask'
ASSISTANT:
It seems that Flask is not installed. Let me install Flask for you:
<execute_bash>
pip install flask
</execute_bash>
USER:
OBSERVATION:
Defaulting to user installation because normal site-packages is not writeable
Collecting flask
Using cached flask-3.0.3-py3-none-any.whl (101 kB)
Collecting blinker>=1.6.2
Using cached blinker-1.7.0-py3-none-any.whl (13 kB)
Collecting Werkzeug>=3.0.0
Using cached werkzeug-3.0.2-py3-none-any.whl (226 kB)
Collecting click>=8.1.3
Using cached click-8.1.7-py3-none-any.whl (97 kB)
Collecting itsdangerous>=2.1.2
Using cached itsdangerous-2.2.0-py3-none-any.whl (16 kB)
Requirement already satisfied: Jinja2>=3.1.2 in /home/opendevin/.local/lib/python3.10/site-packages (from flask) (3.1.3)
Requirement already satisfied: MarkupSafe>=2.0 in /home/opendevin/.local/lib/python3.10/site-packages (from Jinja2>=3.1.2->flask) (2.1.5)
Installing collected packages: Werkzeug, itsdangerous, click, blinker, flask
Successfully installed Werkzeug-3.0.2 blinker-1.7.0 click-8.1.7 flask-3.0.3 itsdangerous-2.2.0
ASSISTANT:
Now that Flask is installed, let me run the Python file again:
<execute_bash>
python3 app.py > server.log 2>&1 &
</execute_bash>
USER:
OBSERVATION:
[1] 124
ASSISTANT:
Let me check the server log again:
<execute_bash>
cat server.log
</execute_bash>
USER:
OBSERVATION:
* Serving Flask app 'app'
* Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
* Running on http://127.0.0.1:5000
Press CTRL+C to quit
ASSISTANT:
The server is running on port 5000 with PID 124. You can access the list of numbers by visiting http://127.0.0.1:5000. If you have any further questions, feel free to ask!
USER: Now browse the newly started server's homepage and show me the content.
ASSISTANT:
Sure! Let me browse the server's homepage at http://127.0.0.1:5000:
<execute_browse>
goto("http://127.0.0.1:5000")
</execute_browse>
USER:
OBSERVATION:
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
ASSISTANT:
The content of the server's homepage is "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]". If you have any further questions, feel free to ask!
USER: Now kill the server, make it display the numbers in a table format.
ASSISTANT:
Sure! Let me stop the server first:
<execute_bash>
kill 124
</execute_bash>
USER:
OBSERVATION:
[1]+ Terminated python3 app.py > server.log 2>&1
ASSISTANT:
The server has been stopped. Let me open the Python file and modify it.
<execute_ipython>
open_file('app.py')
</execute_ipython>
USER:
[File: /workspace/app.py (10 lines total)]
1|from flask import Flask
2|app = Flask(__name__)
3|
4|@app.route('/')
5|def index():
6| numbers = list(range(1, 11))
7| return str(numbers)
8|
9|if __name__ == '__main__':
10| app.run(port=5000)
ASSISTANT:
I should edit the file to display the numbers in a table format. I should include correct indentation. Let me update the file:
<execute_ipython>
edit_file(start=7, end=7, content=" return '<table>' + ''.join([f'<tr><td>{i}</td></tr>' for i in numbers]) + '</table>'")
</execute_ipython>
USER:
Observation:
[File: /workspace/app.py (10 lines total after edit)]
1|from flask import Flask
2|app = Flask(__name__)
3|
4|@app.route('/')
5|def index():
6| numbers = list(range(1, 11))
7| return '<table>' + ''.join([f'<tr><td>{i}</td></tr>' for i in numbers]) + '</table>'
8|
9|if __name__ == '__main__':
10| app.run(port=5000)
[File updated. Please review the changes and make sure they are correct (correct indentation, no duplicate lines, etc). Edit the file again if necessary.]
ASSISTANT:
The file has been updated. Let me run the Python file again with the new changes:
<execute_bash>
python3 app.py > server.log 2>&1 &
</execute_bash>
USER:
Observation:
[1] 126
ASSISTANT:
The server is running on port 5000 with PID 126. You can access the list of numbers in a table format by visiting http://127.0.0.1:5000. Free free to let me know if you have any further requests!
--- END OF EXAMPLE ---
"""
INVALID_INPUT_MESSAGE = (
"I don't understand your input. \n"
'If you want to execute a bash command, please use <execute_bash> YOUR_COMMAND_HERE </execute_bash>.\n'
'If you want to execute a block of Python code, please use <execute_ipython> YOUR_COMMAND_HERE </execute_ipython>.\n'
'If you want to browse the Internet, please use <execute_browse> YOUR_COMMAND_HERE </execute_browse>.\n'
)

View File

@@ -1,7 +1,7 @@
# CodeAct (SWE Edit Specialized)
This agent is an adaptation of the original [SWE Agent](https://swe-agent.com/) based on CodeAct using the `agentskills` library of OpenHands.
This agent is an adaptation of the original [SWE Agent](https://swe-agent.com/) based on CodeAct using the `agentskills` library of OpenDevin.
Its intended use is **solving GitHub issues**.
It is intended use is **solving Github issues**.
It removes web-browsing and GitHub capability from the original CodeAct agent to avoid confusion to the agent.
It removes web-browsing and Github capability from the original CodeAct agent to avoid confusion to the agent.

View File

@@ -0,0 +1,5 @@
from opendevin.controller.agent import Agent
from .codeact_swe_agent import CodeActSWEAgent
Agent.register('CodeActSWEAgent', CodeActSWEAgent)

View File

@@ -0,0 +1,246 @@
import re
from agenthub.codeact_swe_agent.prompt import (
COMMAND_DOCS,
MINIMAL_SYSTEM_PREFIX,
SWE_EXAMPLE,
SYSTEM_SUFFIX,
)
from opendevin.controller.agent import Agent
from opendevin.controller.state.state import State
from opendevin.events.action import (
Action,
AgentFinishAction,
BrowseInteractiveAction,
CmdRunAction,
IPythonRunCellAction,
MessageAction,
)
from opendevin.events.observation import (
BrowserOutputObservation,
CmdOutputObservation,
IPythonRunCellObservation,
)
from opendevin.llm.llm import LLM
from opendevin.runtime.plugins import (
AgentSkillsRequirement,
JupyterRequirement,
PluginRequirement,
)
def parse_response(response) -> str:
action = response.choices[0].message.content
for lang in ['bash', 'ipython', 'browse']:
if f'<execute_{lang}>' in action and f'</execute_{lang}>' not in action:
action += f'</execute_{lang}>'
return action
def action_to_str(action: Action) -> str:
if isinstance(action, CmdRunAction):
return f'{action.thought}\n<execute_bash>\n{action.command}\n</execute_bash>'
elif isinstance(action, IPythonRunCellAction):
return f'{action.thought}\n<execute_ipython>\n{action.code}\n</execute_ipython>'
elif isinstance(action, BrowseInteractiveAction):
return f'{action.thought}\n<execute_browse>\n{action.browser_actions}\n</execute_browse>'
elif isinstance(action, MessageAction):
return action.content
return ''
def get_action_message(action: Action) -> dict[str, str] | None:
if (
isinstance(action, BrowseInteractiveAction)
or isinstance(action, CmdRunAction)
or isinstance(action, IPythonRunCellAction)
or isinstance(action, MessageAction)
):
return {
'role': 'user' if action.source == 'user' else 'assistant',
'content': action_to_str(action),
}
return None
def get_observation_message(obs) -> dict[str, str] | None:
if isinstance(obs, CmdOutputObservation):
content = 'OBSERVATION:\n' + truncate_observation(obs.content)
content += (
f'\n[Command {obs.command_id} finished with exit code {obs.exit_code}]]'
)
return {'role': 'user', 'content': content}
elif isinstance(obs, IPythonRunCellObservation):
content = 'OBSERVATION:\n' + obs.content
# replace base64 images with a placeholder
splitted = content.split('\n')
for i, line in enumerate(splitted):
if '![image](data:image/png;base64,' in line:
splitted[i] = (
'![image](data:image/png;base64, ...) already displayed to user'
)
content = '\n'.join(splitted)
content = truncate_observation(content)
return {'role': 'user', 'content': content}
elif isinstance(obs, BrowserOutputObservation):
content = 'OBSERVATION:\n' + truncate_observation(obs.content)
return {'role': 'user', 'content': content}
return None
def truncate_observation(observation: str, max_chars: int = 10_000) -> str:
"""
Truncate the middle of the observation if it is too long.
"""
if len(observation) <= max_chars:
return observation
half = max_chars // 2
return (
observation[:half]
+ '\n[... Observation truncated due to length ...]\n'
+ observation[-half:]
)
def get_system_message() -> str:
return f'{MINIMAL_SYSTEM_PREFIX}\n\n{COMMAND_DOCS}\n\n{SYSTEM_SUFFIX}'
def get_in_context_example() -> str:
return SWE_EXAMPLE
class CodeActSWEAgent(Agent):
VERSION = '1.5'
"""
This agent is an adaptation of the original [SWE Agent](https://swe-agent.com/) based on CodeAct 1.5 using the `agentskills` library of OpenDevin.
It is intended use is **solving Github issues**.
It removes web-browsing and Github capability from the original CodeAct agent to avoid confusion to the agent.
"""
sandbox_plugins: list[PluginRequirement] = [
# NOTE: AgentSkillsRequirement need to go before JupyterRequirement, since
# AgentSkillsRequirement provides a lot of Python functions
# and it need to be initialized before Jupyter for Jupyter to use those functions.
AgentSkillsRequirement(),
JupyterRequirement(),
]
jupyter_kernel_init_code: str = 'from agentskills import *'
system_message: str = get_system_message()
in_context_example: str = f"Here is an example of how you can interact with the environment for task solving:\n{get_in_context_example()}\n\nNOW, LET'S START!"
def __init__(
self,
llm: LLM,
) -> None:
"""
Initializes a new instance of the CodeActAgent class.
Parameters:
- llm (LLM): The llm to be used by this agent
"""
super().__init__(llm)
self.reset()
def reset(self) -> None:
"""
Resets the CodeAct Agent.
"""
super().reset()
def step(self, state: State) -> Action:
"""
Performs one step using the CodeAct Agent.
This includes gathering info on previous steps and prompting the model to make a command to execute.
Parameters:
- state (State): used to get updated info and background commands
Returns:
- CmdRunAction(command) - bash command to run
- IPythonRunCellAction(code) - IPython code to run
- BrowseInteractiveAction(browsergym_command) - BrowserGym commands to run
- MessageAction(content) - Message action to run (e.g. ask for clarification)
- AgentFinishAction() - end the interaction
"""
messages: list[dict[str, str]] = [
{'role': 'system', 'content': self.system_message},
{'role': 'user', 'content': self.in_context_example},
]
for prev_action, obs in state.history:
action_message = get_action_message(prev_action)
if action_message:
messages.append(action_message)
obs_message = get_observation_message(obs)
if obs_message:
messages.append(obs_message)
latest_user_message = [m for m in messages if m['role'] == 'user'][-1]
if latest_user_message:
if latest_user_message['content'].strip() == '/exit':
return AgentFinishAction()
latest_user_message['content'] += (
f'\n\nENVIRONMENT REMINDER: You have {state.max_iterations - state.iteration} turns left to complete the task.'
)
response = self.llm.do_completion(
messages=messages,
stop=[
'</execute_ipython>',
'</execute_bash>',
'</execute_browse>',
],
temperature=0.0,
)
action_str: str = parse_response(response)
state.num_of_chars += sum(
len(message['content']) for message in messages
) + len(action_str)
if finish_command := re.search(r'<finish>.*</finish>', action_str, re.DOTALL):
thought = action_str.replace(finish_command.group(0), '').strip()
return AgentFinishAction(thought=thought)
if bash_command := re.search(
r'<execute_bash>(.*?)</execute_bash>', action_str, re.DOTALL
):
# remove the command from the action string to get thought
thought = action_str.replace(bash_command.group(0), '').strip()
# a command was found
command_group = bash_command.group(1).strip()
if command_group.strip() == 'exit':
return AgentFinishAction()
return CmdRunAction(command=command_group, thought=thought)
elif python_code := re.search(
r'<execute_ipython>(.*?)</execute_ipython>', action_str, re.DOTALL
):
# a code block was found
code_group = python_code.group(1).strip()
thought = action_str.replace(python_code.group(0), '').strip()
return IPythonRunCellAction(
code=code_group,
thought=thought,
kernel_init_code=self.jupyter_kernel_init_code,
)
elif browse_command := re.search(
r'<execute_browse>(.*)</execute_browse>', action_str, re.DOTALL
):
# BrowserGym actions was found
browse_actions = browse_command.group(1).strip()
thought = action_str.replace(browse_command.group(0), '').strip()
return BrowseInteractiveAction(
browser_actions=browse_actions, thought=thought
)
else:
# We assume the LLM is GOOD enough that when it returns pure natural language
# it want to talk to the user
return MessageAction(content=action_str, wait_for_response=True)
def search_memory(self, query: str) -> list[str]:
raise NotImplementedError('Implement this abstract method')

View File

@@ -1,4 +1,4 @@
from openhands.runtime.plugins import AgentSkillsRequirement
from opendevin.runtime.plugins import AgentSkillsRequirement
_AGENT_SKILLS_DOCS = AgentSkillsRequirement.documentation
@@ -18,13 +18,9 @@ The assistant can execute bash commands on behalf of the user by wrapping them w
For example, you can list the files in the current directory by <execute_bash> ls </execute_bash>.
"""
PIP_INSTALL_PREFIX = """The assistant can install Python packages using the %pip magic command in an IPython environment by using the following syntax: <execute_ipython> %pip install [package needed] </execute_ipython> and should always import packages and define variables before starting to use them."""
SYSTEM_PREFIX = MINIMAL_SYSTEM_PREFIX + PIP_INSTALL_PREFIX
SYSTEM_SUFFIX = """The assistant's response should be concise.
The assistant should include ONLY ONE <execute_ipython> or <execute_bash> in every one of the responses, unless the assistant is finished with the task or need more input or action from the user in order to proceed.
IMPORTANT: Whenever possible, execute the code for the user using <execute_ipython> or <execute_bash> instead of providing it.
The assistant should include ONLY ONE <execute_ipython> or <execute_bash> or <execute_browse> in every one of the responses, unless the assistant is finished with the task or need more input or action from the user in order to proceed.
IMPORTANT: Whenever possible, execute the code for the user using <execute_ipython> or <execute_bash> or <execute_browse> instead of providing it.
"""
SWE_EXAMPLE = """

View File

@@ -0,0 +1,5 @@
from opendevin.controller.agent import Agent
from .agent import DelegatorAgent
Agent.register('DelegatorAgent', DelegatorAgent)

View File

@@ -1,56 +1,52 @@
from openhands.controller.agent import Agent
from openhands.controller.state.state import State
from openhands.core.config import AgentConfig
from openhands.events.action import Action, AgentDelegateAction, AgentFinishAction
from openhands.events.observation import AgentDelegateObservation, Observation
from openhands.llm.llm import LLM
from opendevin.controller.agent import Agent
from opendevin.controller.state.state import State
from opendevin.events.action import Action, AgentDelegateAction, AgentFinishAction
from opendevin.events.observation import AgentDelegateObservation
from opendevin.llm.llm import LLM
class DelegatorAgent(Agent):
VERSION = '1.0'
"""
The Delegator Agent is responsible for delegating tasks to other agents based on the current task.
The planner agent utilizes a special prompting strategy to create long term plans for solving problems.
The agent is given its previous action-observation pairs, current task, and hint based on last action taken at every step.
"""
current_delegate: str = ''
def __init__(self, llm: LLM, config: AgentConfig):
"""Initialize the Delegator Agent with an LLM
def __init__(self, llm: LLM):
"""
Initialize the Delegator Agent with an LLM
Parameters:
- llm (LLM): The llm to be used by this agent
"""
super().__init__(llm, config)
super().__init__(llm)
def step(self, state: State) -> Action:
"""Checks to see if current step is completed, returns AgentFinishAction if True.
Otherwise, delegates the task to the next agent in the pipeline.
"""
Checks to see if current step is completed, returns AgentFinishAction if True.
Otherwise, creates a plan prompt and sends to model for inference, returning the result as the next action.
Parameters:
- state (State): The current state given the previous actions and observations
Returns:
- AgentFinishAction: If the last state was 'completed', 'verified', or 'abandoned'
- AgentDelegateAction: The next agent to delegate the task to
- Action: The next action to take based on llm response
"""
if self.current_delegate == '':
self.current_delegate = 'study'
task, _ = state.get_current_user_intent()
task = state.get_current_user_intent()
return AgentDelegateAction(
agent='StudyRepoForTaskAgent', inputs={'task': task}
)
# last observation in history should be from the delegate
last_observation = None
for event in reversed(state.history):
if isinstance(event, Observation):
last_observation = event
break
last_observation = state.history[-1][1]
if not isinstance(last_observation, AgentDelegateObservation):
raise Exception('Last observation is not an AgentDelegateObservation')
goal, _ = state.get_current_user_intent()
goal = state.get_current_user_intent()
if self.current_delegate == 'study':
self.current_delegate = 'coder'
return AgentDelegateAction(
@@ -85,3 +81,6 @@ class DelegatorAgent(Agent):
)
else:
raise Exception('Invalid delegate state')
def search_memory(self, query: str) -> list[str]:
return []

View File

@@ -0,0 +1,5 @@
from opendevin.controller.agent import Agent
from .agent import DummyAgent
Agent.register('DummyAgent', DummyAgent)

View File

@@ -0,0 +1,175 @@
import time
from typing import TypedDict
from opendevin.controller.agent import Agent
from opendevin.controller.state.state import State
from opendevin.events.action import (
Action,
AddTaskAction,
AgentFinishAction,
AgentRecallAction,
AgentRejectAction,
BrowseInteractiveAction,
BrowseURLAction,
CmdRunAction,
FileReadAction,
FileWriteAction,
MessageAction,
ModifyTaskAction,
)
from opendevin.events.observation import (
AgentRecallObservation,
CmdOutputObservation,
FileReadObservation,
FileWriteObservation,
NullObservation,
Observation,
)
from opendevin.events.serialization.event import event_to_dict
from opendevin.llm.llm import LLM
"""
FIXME: There are a few problems this surfaced
* FileWrites seem to add an unintended newline at the end of the file
* command_id is sometimes a number, sometimes a string
* Why isn't the output of the background command split between two steps?
* Browser not working
"""
ActionObs = TypedDict(
'ActionObs', {'action': Action, 'observations': list[Observation]}
)
BACKGROUND_CMD = 'echo "This is in the background" && sleep .1 && echo "This too"'
class DummyAgent(Agent):
VERSION = '1.0'
"""
The DummyAgent is used for e2e testing. It just sends the same set of actions deterministically,
without making any LLM calls.
"""
def __init__(self, llm: LLM):
super().__init__(llm)
self.steps: list[ActionObs] = [
{
'action': AddTaskAction(parent='0', goal='check the current directory'),
'observations': [NullObservation('')],
},
{
'action': AddTaskAction(parent='0.0', goal='run ls'),
'observations': [NullObservation('')],
},
{
'action': ModifyTaskAction(task_id='0.0', state='in_progress'),
'observations': [NullObservation('')],
},
{
'action': MessageAction('Time to get started!'),
'observations': [NullObservation('')],
},
{
'action': CmdRunAction(command='echo "foo"'),
'observations': [
CmdOutputObservation('foo', command_id=-1, command='echo "foo"')
],
},
{
'action': FileWriteAction(
content='echo "Hello, World!"', path='hello.sh'
),
'observations': [FileWriteObservation('', path='hello.sh')],
},
{
'action': FileReadAction(path='hello.sh'),
'observations': [
FileReadObservation('echo "Hello, World!"\n', path='hello.sh')
],
},
{
'action': CmdRunAction(command='bash hello.sh'),
'observations': [
CmdOutputObservation(
'Hello, World!', command_id=-1, command='bash hello.sh'
)
],
},
{
'action': CmdRunAction(command=BACKGROUND_CMD, background=True),
'observations': [
CmdOutputObservation(
'Background command started. To stop it, send a `kill` action with command_id 42',
command_id='42', # type: ignore[arg-type]
command=BACKGROUND_CMD,
),
CmdOutputObservation(
'This is in the background\nThis too\n',
command_id='42', # type: ignore[arg-type]
command=BACKGROUND_CMD,
),
],
},
{
'action': AgentRecallAction(query='who am I?'),
'observations': [
AgentRecallObservation('', memories=['I am a computer.']),
# CmdOutputObservation('This too\n', command_id='42', command=BACKGROUND_CMD),
],
},
{
'action': BrowseURLAction(url='https://google.com'),
'observations': [
# BrowserOutputObservation('<html></html>', url='https://google.com', screenshot=""),
],
},
{
'action': BrowseInteractiveAction(
browser_actions='goto("https://google.com")'
),
'observations': [
# BrowserOutputObservation('<html></html>', url='https://google.com', screenshot=""),
],
},
{
'action': AgentFinishAction(),
'observations': [],
},
{
'action': AgentRejectAction(),
'observations': [],
},
]
def step(self, state: State) -> Action:
time.sleep(0.1)
if state.iteration > 0:
prev_step = self.steps[state.iteration - 1]
if 'observations' in prev_step:
expected_observations = prev_step['observations']
hist_start = len(state.history) - len(expected_observations)
for i in range(len(expected_observations)):
hist_obs = event_to_dict(state.history[hist_start + i][1])
expected_obs = event_to_dict(expected_observations[i])
if (
'command_id' in hist_obs['extras']
and hist_obs['extras']['command_id'] != -1
):
del hist_obs['extras']['command_id']
hist_obs['content'] = ''
if (
'command_id' in expected_obs['extras']
and expected_obs['extras']['command_id'] != -1
):
del expected_obs['extras']['command_id']
expected_obs['content'] = ''
if hist_obs != expected_obs:
print('\nactual', hist_obs)
print('\nexpect', expected_obs)
assert (
hist_obs == expected_obs
), f'Expected observation {expected_obs}, got {hist_obs}'
return self.steps[state.iteration]['action']
def search_memory(self, query: str) -> list[str]:
return ['I am a computer.']

View File

@@ -12,6 +12,3 @@ in the following structure:
Note that `prompt.md` could use jinja2 template syntax. During runtime, `prompt.md`
is loaded and rendered, and used together with `agent.yaml` to initialize a
micro-agent.
Micro-agents can be used independently. You can also use `ManagerAgent` which knows
how to coordinate the agents and collaboratively finish a task.

View File

@@ -1,2 +1,2 @@
* `finish` - if you're absolutely certain that you've completed your task, use the finish action to stop working. Arguments:
* `finish` - if you're absolutely certain that you've completed your task and have tested your work, use the finish action to stop working. Arguments:
* `outputs` - a dictionary representing the outputs of your task, if any

View File

@@ -0,0 +1,2 @@
* `kill` - kills a background command
* `command_id` - the ID of the background command to kill

View File

@@ -0,0 +1,2 @@
* `reject` - reject the task. Arguments:
* `outputs` - a dictionary representing the outputs of your task, if any

View File

@@ -0,0 +1,3 @@
* `run` - runs a command on the command line in a Linux shell. Arguments:
* `command` - the command to run
* `background` - if true, run the command in the background, so that other commands can be run concurrently. Useful for e.g. starting a server. You won't be able to see the logs. You don't need to end the command with `&`, just set this to true.

75
agenthub/micro/agent.py Normal file
View File

@@ -0,0 +1,75 @@
from jinja2 import BaseLoader, Environment
from opendevin.controller.agent import Agent
from opendevin.controller.state.state import State
from opendevin.core.utils import json
from opendevin.events.action import Action
from opendevin.events.serialization.action import action_from_dict
from opendevin.events.serialization.event import event_to_memory
from opendevin.llm.llm import LLM
from .instructions import instructions
from .registry import all_microagents
def parse_response(orig_response: str) -> Action:
# attempt to load the JSON dict from the response
action_dict = json.loads(orig_response)
# load the action from the dict
return action_from_dict(action_dict)
def to_json(obj, **kwargs):
"""
Serialize an object to str format
"""
return json.dumps(obj, **kwargs)
def history_to_json(obj, **kwargs):
"""
Serialize and simplify history to str format
"""
if isinstance(obj, list):
# process history, make it simpler.
processed_history = []
for action, observation in obj:
processed_history.append(
(event_to_memory(action), event_to_memory(observation))
)
return json.dumps(processed_history, **kwargs)
class MicroAgent(Agent):
VERSION = '1.0'
prompt = ''
agent_definition: dict = {}
def __init__(self, llm: LLM):
super().__init__(llm)
if 'name' not in self.agent_definition:
raise ValueError('Agent definition must contain a name')
self.prompt_template = Environment(loader=BaseLoader).from_string(self.prompt)
self.delegates = all_microagents.copy()
del self.delegates[self.agent_definition['name']]
def step(self, state: State) -> Action:
latest_user_message = state.get_current_user_intent()
prompt = self.prompt_template.render(
state=state,
instructions=instructions,
to_json=to_json,
history_to_json=history_to_json,
delegates=self.delegates,
latest_user_message=latest_user_message,
)
messages = [{'content': prompt, 'role': 'user'}]
resp = self.llm.do_completion(messages=messages)
action_resp = resp['choices'][0]['message']['content']
state.num_of_chars += len(prompt) + len(action_resp)
action = parse_response(action_resp)
return action
def search_memory(self, query: str) -> list[str]:
return []

View File

@@ -2,5 +2,5 @@ name: CoderAgent
description: Given a particular task, and a detailed description of the codebase, accomplishes the task
inputs:
task: string
summary: string
codebase_summary: string
outputs: {}

View File

@@ -2,7 +2,7 @@
You are a software engineer. You've inherited an existing codebase, which you
need to modify to complete this task:
{{ state.inputs.task }}
{{ latest_user_message }}
{% if state.inputs.summary %}
Here's a summary of the codebase, as it relates to this task:
@@ -21,7 +21,7 @@ Do NOT finish until you have completed the tasks.
## History
{{ instructions.history_truncated }}
{{ history_to_json(state.history, max_events=20) }}
{{ history_to_json(state.history[-10:]) }}
## Format
{{ instructions.format.action }}

View File

@@ -3,8 +3,8 @@
CommitWriterAgent can help write git commit message. Example:
```bash
WORKSPACE_MOUNT_PATH="`PWD`" \
poetry run python openhands/core/main.py -t "dummy task" -c CommitWriterAgent -d ./
WORKSPACE_MOUNT_PATH="`PWD`" SANDBOX_TYPE="exec" \
poetry run python opendevin/core/main.py -t "dummy task" -c CommitWriterAgent -d ./
```
This agent is special in the sense that it doesn't need a task. Once called,

View File

@@ -3,4 +3,3 @@ description: "Write a git commit message for files in the git staging area"
inputs: {}
outputs:
answer: string
reason: string

View File

@@ -11,16 +11,14 @@ changes. The commit message should include:
- A summary line that clearly states the purpose of the changes.
- Optionally, a detailed description if the changes are complex or need further explanation.
You should first use `git status` to check whether it's a valid git repo and there
is diff in the staging area. If not, please call the `reject` action.
If it is a valid git repo and there is diff in the staging area, you should find
the diff using `git diff --cached`, compile a commit message, and call the `finish`
action with `outputs.answer` set to the answer.
You should find the diff using `git diff --cached`, compile a commit message,
and call the `finish` action with `outputs.answer` set to the answer. If current
repo is not a valid git repo, or there is no diff in the staging area, please call
the `reject` action with `outputs.answer` set to the reason.
## History
{{ instructions.history_truncated }}
{{ history_to_json(state.history, max_events=20) }}
{{ history_to_json(state.history[-10:]) }}
If the last item in the history is an error, you should try to fix it.

View File

@@ -3,6 +3,4 @@ description: Delegates tasks to microagents based on their area of expertise
generates: Action
inputs:
task: string
outputs:
summary: string # if finished
reason: string # if rejected
outputs: {}

View File

@@ -0,0 +1,27 @@
# Task
You are in charge of accomplishing the following task:
{{ latest_user_message }}
In order to accomplish this goal, you must delegate tasks to one or more agents, who
can do the actual work. A description of each agent is provided below. You MUST
select one of the delegates below to move towards accomplishing the task, and you MUST
provide the correct inputs for the delegate you select.
## Agents
{% for name, details in delegates.items() %}
### {{ name }}
{{ details.description }}
#### Inputs
{{ to_json(details.inputs) }}
{% endfor %}
## History
{{ instructions.history_truncated }}
{{ history_to_json(state.history[-10:]) }}
## Available Actions
{{ instructions.actions.delegate }}
{{ instructions.actions.finish }}
## Format
{{ instructions.format.action }}

View File

@@ -1,7 +1,7 @@
# Task
You are a brilliant mathematician and programmer. You've been given the following problem to solve:
`{{ state.inputs.task }}`
{{ latest_user_message }}
Please write a python script that solves this problem, and prints the answer to stdout.
ONLY print the answer to stdout, nothing else.
@@ -10,7 +10,7 @@ and call the `finish` action with `outputs.answer` set to the answer.
## History
{{ instructions.history_truncated }}
{{ history_to_json(state.history, max_events=20) }}
{{ history_to_json(state.history[-10:]) }}
If the last item in the history is an error, you should try to fix it.

View File

@@ -2,7 +2,7 @@
You are a database engineer. You are working on an existing Postgres project, and have been given
the following task:
{{ state.inputs.task }}
{{ latest_user_message }}
You must:
* Investigate the existing migrations to understand the current schema
@@ -18,7 +18,7 @@ You may take any of the following actions:
## History
{{ instructions.history_truncated }}
{{ history_to_json(state.history, max_events=20) }}
{{ history_to_json(state.history[-10:]) }}
## Format
{{ instructions.format.action }}

View File

@@ -4,10 +4,7 @@ import yaml
all_microagents = {}
# Get the list of directories and sort them to preserve determinism
dirs = sorted(os.listdir(os.path.dirname(__file__)))
for dir in dirs:
for dir in os.listdir(os.path.dirname(__file__)):
base = os.path.dirname(__file__) + '/' + dir
if os.path.isfile(base):
continue

View File

@@ -20,7 +20,7 @@ When you're done, put your summary into the output of the `finish` action.
## History
{{ instructions.history_truncated }}
{{ history_to_json(state.history, max_events=20) }}
{{ history_to_json(state.history[-10:]) }}
## Format
{{ instructions.format.action }}

View File

@@ -0,0 +1,25 @@
# Task
You are a software engineer. You've inherited an existing codebase, which you're
learning about for the first time. You need to study the codebase to find all
the information needed to complete this task:
{{ latest_user_message }}
## Available Actions
{{ instructions.actions.run }}
{{ instructions.actions.read }}
{{ instructions.actions.message }}
{{ instructions.actions.finish }}
You must ONLY `run` commands that have no side-effects, like `ls` and `grep`.
Do NOT finish until you have a complete understanding of which parts of the
codebase are relevant to the task, including particular files, functions, and classes.
When you're done, put your summary in `outputs.summary` in the `finish` action.
## History
{{ instructions.history_truncated }}
{{ history_to_json(state.history[-10:]) }}
## Format
{{ instructions.format.action }}

View File

@@ -1,6 +1,5 @@
name: TypoFixerAgent
description: Fixes typos in files in the current working directory
inputs:
task: string
inputs: {}
outputs:
summary: string

View File

@@ -1,13 +1,5 @@
# Task
You are a proofreader tasked with fixing typos in the files in your current working directory.
{% if state.inputs.task %}
Specifically, your task is:
{{ state.inputs.task }}
{% endif %}
To achieve this goal, you should:
You are a proofreader tasked with fixing typos in the files in your current working directory. Your goal is to:
1. Scan the files for typos
2. Overwrite the files with the typos fixed
3. Provide a summary of the typos fixed
@@ -21,17 +13,17 @@ To achieve this goal, you should:
To complete this task:
1. Use the `read` action to read the contents of the files in your current working directory. Make sure to provide the file path in the format `'./file_name.ext'`.
2. Use the `message` action to analyze the contents and identify typos.
2. Use the `think` action to analyze the contents and identify typos.
3. Use the `write` action to create new versions of the files with the typos fixed.
- Overwrite the original files with the corrected content. Make sure to provide the file path in the format `'./file_name.ext'`.
4. Use the `message` action to generate a summary of the typos fixed, including the original and fixed versions of each typo, and the file(s) they were found in.
4. Use the `think` action to generate a summary of the typos fixed, including the original and fixed versions of each typo, and the file(s) they were found in.
5. Use the `finish` action to return the summary in the `outputs.summary` field.
Do NOT finish until you have fixed all the typos and generated a summary.
## History
{{ instructions.history_truncated }}
{{ history_to_json(state.history, max_events=10) }}
{{ history_to_json(state.history[-5:]) }}
## Format
{{ instructions.format.action }}

View File

@@ -2,10 +2,9 @@
You are a quality assurance engineer. Another engineer has made changes to the
codebase which are supposed to solve this task:
{{ state.inputs.task }}
{{ latest_user_message }}
Note the changes might have already been applied in-line. You should focus on
validating if the task is solved, nothing else.
Your goal is to verify that the changes are correct and bug-free.
## Available Actions
{{ instructions.actions.run }}
@@ -22,7 +21,7 @@ explaining what the problem is.
## History
{{ instructions.history_truncated }}
{{ history_to_json(state.history, max_events=20) }}
{{ history_to_json(state.history[-10:]) }}
## Format
{{ instructions.format.action }}

View File

@@ -0,0 +1,2 @@
.envrc
workspace

View File

@@ -0,0 +1,8 @@
# LLM control loop
This is currently a standalone utility. It will need to be integrated into OpenDevin's backend.
## Usage
```bash
# Run this in project root
./agenthub/monologue_agent/build-and-run.sh "write a bash script that prints 'hello world'"
```

View File

@@ -0,0 +1,8 @@
# TODO
There's a lot of low-hanging fruit for this agent:
* Strip `<script>`, `<style>`, and other non-text tags from the HTML before sending it to the LLM
* Keep track of the working directory when the agent uses `cd`
* Improve memory condensing--condense earlier memories more aggressively
* Limit the time that `run` can wait (in case agent runs an interactive command and it's hanging)
* Figure out how to run background processes, e.g. `node server.js` to start a server

View File

@@ -0,0 +1,5 @@
from opendevin.controller.agent import Agent
from .agent import MonologueAgent
Agent.register('MonologueAgent', MonologueAgent)

View File

@@ -0,0 +1,238 @@
import agenthub.monologue_agent.utils.prompts as prompts
from agenthub.monologue_agent.utils.prompts import INITIAL_THOUGHTS
from opendevin.controller.agent import Agent
from opendevin.controller.state.state import State
from opendevin.core.config import config
from opendevin.core.exceptions import AgentNoInstructionError
from opendevin.core.schema import ActionType
from opendevin.events.action import (
Action,
AgentRecallAction,
BrowseURLAction,
CmdRunAction,
FileReadAction,
FileWriteAction,
MessageAction,
NullAction,
)
from opendevin.events.observation import (
AgentRecallObservation,
BrowserOutputObservation,
CmdOutputObservation,
FileReadObservation,
NullObservation,
Observation,
)
from opendevin.events.serialization.event import event_to_memory
from opendevin.llm.llm import LLM
from opendevin.memory.condenser import MemoryCondenser
if config.agent.memory_enabled:
from opendevin.memory.memory import LongTermMemory
MAX_TOKEN_COUNT_PADDING = 512
MAX_OUTPUT_LENGTH = 5000
class MonologueAgent(Agent):
VERSION = '1.0'
"""
The Monologue Agent utilizes long and short term memory to complete tasks.
Long term memory is stored as a LongTermMemory object and the model uses it to search for examples from the past.
Short term memory is stored as a Monologue object and the model can condense it as necessary.
"""
_initialized = False
initial_thoughts: list[dict[str, str]]
memory: 'LongTermMemory | None'
memory_condenser: MemoryCondenser
def __init__(self, llm: LLM):
"""
Initializes the Monologue Agent with an llm.
Parameters:
- llm (LLM): The llm to be used by this agent
"""
super().__init__(llm)
def _initialize(self, task: str):
"""
Utilizes the INITIAL_THOUGHTS list to give the agent a context for its capabilities
and how to navigate the WORKSPACE_MOUNT_PATH_IN_SANDBOX in `config` (e.g., /workspace by default).
Short circuited to return when already initialized.
Will execute again when called after reset.
Parameters:
- task (str): The initial goal statement provided by the user
Raises:
- AgentNoInstructionError: If task is not provided
"""
if self._initialized:
return
if task is None or task == '':
raise AgentNoInstructionError()
self.initial_thoughts = []
if config.agent.memory_enabled:
self.memory = LongTermMemory()
else:
self.memory = None
self.memory_condenser = MemoryCondenser()
self._add_initial_thoughts(task)
self._initialized = True
def _add_initial_thoughts(self, task):
previous_action = ''
for thought in INITIAL_THOUGHTS:
thought = thought.replace('$TASK', task)
if previous_action != '':
observation: Observation = NullObservation(content='')
if previous_action in {ActionType.RUN, ActionType.PUSH}:
observation = CmdOutputObservation(
content=thought, command_id=0, command=''
)
elif previous_action == ActionType.READ:
observation = FileReadObservation(content=thought, path='')
elif previous_action == ActionType.RECALL:
observation = AgentRecallObservation(content=thought, memories=[])
elif previous_action == ActionType.BROWSE:
observation = BrowserOutputObservation(
content=thought, url='', screenshot=''
)
self.initial_thoughts.append(event_to_memory(observation))
previous_action = ''
else:
action: Action = NullAction()
if thought.startswith('RUN'):
command = thought.split('RUN ')[1]
action = CmdRunAction(command)
previous_action = ActionType.RUN
elif thought.startswith('WRITE'):
parts = thought.split('WRITE ')[1].split(' > ')
path = parts[1]
content = parts[0]
action = FileWriteAction(path=path, content=content)
elif thought.startswith('READ'):
path = thought.split('READ ')[1]
action = FileReadAction(path=path)
previous_action = ActionType.READ
elif thought.startswith('RECALL'):
query = thought.split('RECALL ')[1]
action = AgentRecallAction(query=query)
previous_action = ActionType.RECALL
elif thought.startswith('BROWSE'):
url = thought.split('BROWSE ')[1]
action = BrowseURLAction(url=url)
previous_action = ActionType.BROWSE
else:
action = MessageAction(thought)
self.initial_thoughts.append(event_to_memory(action))
def step(self, state: State) -> Action:
"""
Modifies the current state by adding the most recent actions and observations, then prompts the model to think about it's next action to take using monologue, memory, and hint.
Parameters:
- state (State): The current state based on previous steps taken
Returns:
- Action: The next action to take based on LLM response
"""
goal = state.get_current_user_intent()
self._initialize(goal)
recent_events: list[dict[str, str]] = []
# add the events from state.history
for prev_action, obs in state.history:
if not isinstance(prev_action, NullAction):
recent_events.append(event_to_memory(prev_action))
if not isinstance(obs, NullObservation):
recent_events.append(self._truncate_output(event_to_memory(obs)))
# add the last messages to long term memory
if self.memory is not None and state.history and len(state.history) > 0:
self.memory.add_event(event_to_memory(state.history[-1][0]))
self.memory.add_event(
self._truncate_output(event_to_memory(state.history[-1][1]))
)
# the action prompt with initial thoughts and recent events
prompt = prompts.get_request_action_prompt(
goal,
self.initial_thoughts,
recent_events,
state.background_commands_obs,
)
messages: list[dict[str, str]] = [
{'role': 'user', 'content': prompt},
]
# format all as a single message, a monologue
resp = self.llm.do_completion(messages=messages)
# get the next action from the response
action_resp = resp['choices'][0]['message']['content']
# keep track of max_chars fallback option
state.num_of_chars += len(prompt) + len(action_resp)
action = prompts.parse_action_response(action_resp)
self.latest_action = action
return action
def _truncate_output(
self, observation: dict, max_chars: int = MAX_OUTPUT_LENGTH
) -> dict[str, str]:
"""
Truncates the output of an observation to a maximum number of characters.
Parameters:
- output (str): The observation whose output to truncate
- max_chars (int): The maximum number of characters to allow
Returns:
- str: The truncated output
"""
if (
'args' in observation
and 'output' in observation['args']
and len(observation['args']['output']) > max_chars
):
output = observation['args']['output']
half = max_chars // 2
observation['args']['output'] = (
output[:half]
+ '\n[... Output truncated due to length...]\n'
+ output[-half:]
)
return observation
def search_memory(self, query: str) -> list[str]:
"""
Uses VectorIndexRetriever to find related memories within the long term memory.
Uses search to produce top 10 results.
Parameters:
- query (str): The query that we want to find related memories for
Returns:
- list[str]: A list of top 10 text results that matched the query
"""
if self.memory is None:
return []
return self.memory.search(query)
def reset(self) -> None:
super().reset()
# Reset the initial monologue and memory
self._initialized = False

Some files were not shown because too many files have changed in this diff Show More