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1 Commits

Author SHA1 Message Date
Mingchen Zhuge
0277311fd6 Add GPTSwarm (Graph-based Workflow) (#2460)
* update

* revert the main branch lock file

* regenerate the poetry.lock

* move poetry into another dependency group

* fix infer.sh and gpt code

---------

Co-authored-by: yufansong <yufan@risingwave-labs.com>
2024-08-10 23:02:44 -07:00
3319 changed files with 104184 additions and 444923 deletions

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---
name: upcoming-release
description: This skill should be used when the user asks to "generate release notes", "list upcoming release PRs", "summarize upcoming release", "/upcoming-release", or needs to know what changes are part of an upcoming release.
---
# Upcoming Release Summary
Generate a concise summary of PRs included in the upcoming release.
## Prerequisites
Two commit SHAs are required:
- **First SHA**: The older commit (current release)
- **Second SHA**: The newer commit (what's being released)
If the user does not provide both SHAs, ask for them before proceeding.
## Workflow
1. Run the script from the repository root with the `--json` flag:
```bash
.github/scripts/find_prs_between_commits.py <older-sha> <newer-sha> --json
```
2. Filter out PRs that are:
- Chores
- Dependency updates
- Adding logs
- Refactors
3. Categorize the remaining PRs:
- **Features** - New functionality
- **Bug fixes** - Corrections to existing behavior
- **Security/CVE fixes** - Security-related changes
- **Other** - Everything else
4. Format the output with PRs listed under their category, including the PR number and a brief description.

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---
name: update-sdk
description: This skill should be used when the user asks to "update SDK", "bump SDK version", "pin SDK to a commit", "test unreleased SDK", "update agent-server image", "bump the version", "prepare a release", "what files change for a release", or needs to know how SDK packages are managed in the OpenHands repository. For detailed reference material, see references/docker-image-locations.md and references/sdk-pinning-examples.md in this skill directory.
---
# Update SDK
Bump SDK packages (`openhands-sdk`, `openhands-agent-server`, `openhands-tools`), pin them to unreleased commits for testing, and cut an OpenHands release.
## Quick Summary — How Many Files Change?
| Activity | Manual edits | Auto-regenerated | Total |
|----------|:------------:|:----------------:|:-----:|
| **SDK bump** (released PyPI version) | 2 | 3 | **5** |
| **SDK pin** (unreleased git commit) | 3 | 3 | **6** |
| **Release commit** (version bump) | 3 | 0 | **3** |
The 3 auto-regenerated files are always: `poetry.lock`, `uv.lock`, `enterprise/poetry.lock`.
## SDK Package Bump — 2 Files + 3 Lock Files
Land as a separate PR before the release. Examples: `929dcc3` (SDK 1.11.5), `cd235cc` (SDK 1.11.4).
| File | What to change |
|------|----------------|
| `pyproject.toml` | `openhands-sdk`, `openhands-agent-server`, `openhands-tools` in **two** sections: the `dependencies` array (PEP 508) **and** `[tool.poetry.dependencies]` |
| `openhands/app_server/sandbox/sandbox_spec_service.py` | `AGENT_SERVER_IMAGE` constant — set to `ghcr.io/openhands/agent-server:<version>-python` |
Then regenerate lock files:
```bash
poetry lock && uv lock && cd enterprise && poetry lock && cd ..
```
## Docker Image Locations — All Hardcoded References
For the complete inventory of every file containing a hardcoded Docker image tag or repository, see `references/docker-image-locations.md`. Key files that must stay in sync during an SDK bump:
| File | Image reference | Updated during SDK bump? |
|------|----------------|:------------------------:|
| `openhands/app_server/sandbox/sandbox_spec_service.py` | `AGENT_SERVER_IMAGE = 'ghcr.io/openhands/agent-server:<tag>-python'` | ✅ Yes |
| `docker-compose.yml` | `AGENT_SERVER_IMAGE_TAG` default | ✅ Should be |
| `containers/dev/compose.yml` | `AGENT_SERVER_IMAGE_REPOSITORY` + `_TAG` defaults | ✅ Should be |
> **CI enforcement:** `.github/workflows/check-version-consistency.yml` validates version consistency and compose file image references on every PR and push to main.
### ⚠️ Docker Image Tag Gotcha (merge-commit SHA)
The SDK CI in `software-agent-sdk` repo tags Docker images with the **GitHub Actions merge-commit SHA**, NOT the PR head-commit SHA. When pinning to an SDK PR branch:
1. Check the SDK PR description for the actual image tag (look for the `AGENT_SERVER_IMAGES` section)
2. Or query the CI logs: the "Consolidate Build Information" job prints `"short_sha": "<tag>"`
3. The merge-commit SHA differs from the head SHA shown in the PR
For released SDK versions, images use a version tag (e.g., `1.12.0-python`) — no merge-commit ambiguity.
## Cutting a Release — 3 Files
A release commit updates the version string across 3 files. Gold-standard examples: 1.3.0 (`d063c8c`), 1.4.0 (`495f48b`).
| File | What to change |
|------|----------------|
| `pyproject.toml` | `version = "X.Y.Z"` under `[tool.poetry]` |
| `frontend/package.json` | `"version": "X.Y.Z"` |
| `frontend/package-lock.json` | `"version": "X.Y.Z"` in **two** places (root object and `packages[""]`) |
> **Note:** `openhands/version.py` reads the version from `pyproject.toml` at runtime — no manual edit needed there.
### Compose Files (2 files)
Both compose files should use `ghcr.io/openhands/agent-server` with the current SDK version tag.
| File | What to verify |
|------|----------------|
| `docker-compose.yml` | `AGENT_SERVER_IMAGE_REPOSITORY` defaults to agent-server, `AGENT_SERVER_IMAGE_TAG` is current |
| `containers/dev/compose.yml` | Same — must use agent-server, not runtime |
### Release Workflow
#### Step 1: Verify the SDK bump has landed
```bash
grep -n "openhands-sdk\|openhands-agent-server\|openhands-tools" pyproject.toml
grep -n "AGENT_SERVER_IMAGE" openhands/app_server/sandbox/sandbox_spec_service.py
grep "AGENT_SERVER_IMAGE_TAG" docker-compose.yml containers/dev/compose.yml
```
#### Step 2: Bump version numbers
```bash
# Edit pyproject.toml, frontend/package.json, frontend/package-lock.json
git add pyproject.toml frontend/package.json frontend/package-lock.json
git commit -m "Release X.Y.Z"
git tag X.Y.Z
```
Create a `saas-rel-X.Y.Z` branch from the tagged commit for the SaaS deployment pipeline.
#### Step 3: CI builds Docker images automatically
The `ghcr-build.yml` workflow triggers on tag pushes and produces:
- `ghcr.io/openhands/openhands:X.Y.Z`, `X.Y`, `X`, `latest`
- `ghcr.io/openhands/runtime:X.Y.Z-nikolaik`, `X.Y-nikolaik`
The tagging logic lives in `containers/build.sh` — when `GITHUB_REF_NAME` matches a semver pattern (`^[0-9]+\.[0-9]+\.[0-9]+$`), it auto-generates major, major.minor, and `latest` tags.
## Development: Pin SDK to an Unreleased Commit
For detailed examples of all pinning formats (commit, branch, uv-only), see `references/sdk-pinning-examples.md`.
### Files to change (3 manual + 3 lock files)
| File | What to change |
|------|----------------|
| `pyproject.toml` | Pin all 3 SDK packages in **both** `dependencies` and `[tool.poetry.dependencies]` |
| `openhands/app_server/sandbox/sandbox_spec_service.py` | `AGENT_SERVER_IMAGE` — use the merge-commit SHA tag, NOT the head-commit SHA |
| `docker-compose.yml` | `AGENT_SERVER_IMAGE_TAG` default (for local development) |
| `poetry.lock` | Auto-regenerated via `poetry lock` |
| `uv.lock` | Auto-regenerated via `uv lock` |
| `enterprise/poetry.lock` | Auto-regenerated via `cd enterprise && poetry lock` |
### CI guard
The `check-package-versions.yml` workflow blocks merging to `main` if `[tool.poetry.dependencies]` contains any `rev` fields. This ensures unreleased SDK pins do not accidentally ship in a release.

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# Docker Image Locations — Complete Inventory
Every file in the OpenHands repository containing a hardcoded Docker image tag, repository, or version-pinned image reference. Organized by update cadence.
## Updated During SDK Bump (must change)
These files contain image tags that **must** be updated whenever the SDK version or pinned commit changes.
### `openhands/app_server/sandbox/sandbox_spec_service.py`
- **Line:** `AGENT_SERVER_IMAGE = 'ghcr.io/openhands/agent-server:<tag>-python'`
- **Format:** `<sdk-version>-python` for releases (e.g., `1.12.0-python`), `<7-char-commit-hash>-python` for dev pins
- **Source of truth** for which agent-server image the app server pulls at runtime
- **⚠️ Gotcha:** When pinning to an SDK PR, the image tag is the **merge-commit SHA** from GitHub Actions, not the PR head-commit SHA. Check the SDK PR description or CI logs for the correct tag.
### `docker-compose.yml`
- **Lines:**
```yaml
- AGENT_SERVER_IMAGE_REPOSITORY=${AGENT_SERVER_IMAGE_REPOSITORY:-ghcr.io/openhands/agent-server}
- AGENT_SERVER_IMAGE_TAG=${AGENT_SERVER_IMAGE_TAG:-<tag>-python}
```
- Used by `docker compose up` for local development
### `containers/dev/compose.yml`
- **Lines:**
```yaml
- AGENT_SERVER_IMAGE_REPOSITORY=${AGENT_SERVER_IMAGE_REPOSITORY:-ghcr.io/openhands/agent-server}
- AGENT_SERVER_IMAGE_TAG=${AGENT_SERVER_IMAGE_TAG:-<tag>-python}
```
- Used by the dev container setup
- **Known issue:** On main as of 1.4.0, this file still points to `ghcr.io/openhands/runtime` instead of `agent-server`, and the tag is `1.2-nikolaik` (stale from the V0 era). The `check-version-consistency.yml` CI workflow catches this.
## Updated During Release Commit (version string only)
### `pyproject.toml`
- **Line:** `version = "X.Y.Z"` under `[tool.poetry]`
- The Python version is derived from this at runtime via `openhands/version.py`
### `frontend/package.json`
- **Line:** `"version": "X.Y.Z"`
### `frontend/package-lock.json`
- **Two places:** root `"version": "X.Y.Z"` and `packages[""].version`
## Dynamic References (auto-derived, no manual update)
### `openhands/version.py`
- Reads version from `pyproject.toml` at runtime → `openhands.__version__`
### `openhands/resolver/issue_resolver.py`
- Builds `ghcr.io/openhands/runtime:{openhands.__version__}-nikolaik` dynamically
### `openhands/runtime/utils/runtime_build.py`
- Base repo URL `ghcr.io/openhands/runtime` is a constant; version comes from elsewhere
### `.github/scripts/update_pr_description.sh`
- Uses `${SHORT_SHA}` variable at CI runtime, not hardcoded
### `enterprise/Dockerfile`
- `ARG BASE="ghcr.io/openhands/openhands"` — base image, version supplied at build time
## V0 Legacy Files (separate update cadence)
These reference the V0 runtime image (`ghcr.io/openhands/runtime:X.Y-nikolaik`) for local Docker/Kubernetes paths. They are **not** updated as part of a V1 release but may be updated independently.
### `Development.md`
- `export SANDBOX_RUNTIME_CONTAINER_IMAGE=ghcr.io/openhands/runtime:X.Y-nikolaik`
### `openhands/runtime/impl/kubernetes/README.md`
- `runtime_container_image = "docker.openhands.dev/openhands/runtime:X.Y-nikolaik"`
### `enterprise/enterprise_local/README.md`
- Uses `ghcr.io/openhands/runtime:main-nikolaik` (points to `main`, not versioned)
### `third_party/runtime/impl/daytona/README.md`
- Uses `${OPENHANDS_VERSION}` variable, not hardcoded
## Image Registries
| Registry | Usage |
|----------|-------|
| `ghcr.io/openhands/agent-server` | V1 agent-server (sandbox) — built by SDK repo CI |
| `ghcr.io/openhands/openhands` | Main app image — built by `ghcr-build.yml` |
| `ghcr.io/openhands/runtime` | V0 runtime sandbox — built by `ghcr-build.yml` |
| `docker.openhands.dev/openhands/*` | Mirror/CDN for the above images |

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# SDK Pinning Examples
Examples from real commits showing how to pin SDK packages to unreleased commits, branches, or released versions.
## Pin to a Specific Commit
Example from commit `169fb76` (pinning all 3 packages to SDK commit `100e9af`):
### `dependencies` array (PEP 508 format)
```toml
"openhands-agent-server @ git+https://github.com/OpenHands/software-agent-sdk.git@100e9af#subdirectory=openhands-agent-server",
"openhands-sdk @ git+https://github.com/OpenHands/software-agent-sdk.git@100e9af#subdirectory=openhands-sdk",
"openhands-tools @ git+https://github.com/OpenHands/software-agent-sdk.git@100e9af#subdirectory=openhands-tools",
```
### `[tool.poetry.dependencies]` (Poetry format)
```toml
openhands-sdk = { git = "https://github.com/OpenHands/software-agent-sdk.git", rev = "100e9af", subdirectory = "openhands-sdk" }
openhands-agent-server = { git = "https://github.com/OpenHands/software-agent-sdk.git", rev = "100e9af", subdirectory = "openhands-agent-server" }
openhands-tools = { git = "https://github.com/OpenHands/software-agent-sdk.git", rev = "100e9af", subdirectory = "openhands-tools" }
```
### `openhands/app_server/sandbox/sandbox_spec_service.py`
```python
AGENT_SERVER_IMAGE = 'ghcr.io/openhands/agent-server:<merge-commit-sha>-python'
```
**⚠️ Important:** The image tag is the **merge-commit SHA** from the SDK CI, not the commit hash used in `pyproject.toml`. Look up the correct tag from the SDK PR description or CI logs.
## Pin to a Branch
Example from commit `430ee1c` (pinning to branch `openhands/issue-2228-sdk-settings-schema`):
### `[tool.poetry.dependencies]`
```toml
openhands-sdk = { git = "https://github.com/OpenHands/software-agent-sdk.git", branch = "openhands/issue-2228-sdk-settings-schema", subdirectory = "openhands-sdk" }
openhands-agent-server = { git = "https://github.com/OpenHands/software-agent-sdk.git", branch = "openhands/issue-2228-sdk-settings-schema", subdirectory = "openhands-agent-server" }
openhands-tools = { git = "https://github.com/OpenHands/software-agent-sdk.git", branch = "openhands/issue-2228-sdk-settings-schema", subdirectory = "openhands-tools" }
```
## Using `[tool.uv.sources]` Override
When only `uv` needs the override (keep PyPI versions in the main arrays), add a `[tool.uv.sources]` section. Example from commit `1daca49`:
```toml
[tool.uv.sources]
openhands-sdk = { git = "https://github.com/OpenHands/software-agent-sdk.git", subdirectory = "openhands-sdk", rev = "4170cca" }
openhands-agent-server = { git = "https://github.com/OpenHands/software-agent-sdk.git", subdirectory = "openhands-agent-server", rev = "4170cca" }
openhands-tools = { git = "https://github.com/OpenHands/software-agent-sdk.git", subdirectory = "openhands-tools", rev = "4170cca" }
```
## Released PyPI Version (standard release)
Example from commit `929dcc3` (SDK 1.11.5):
### `dependencies` array
```toml
"openhands-agent-server==1.11.5",
"openhands-sdk==1.11.5",
"openhands-tools==1.11.5",
```
### `[tool.poetry.dependencies]`
```toml
openhands-sdk = "1.11.5"
openhands-agent-server = "1.11.5"
openhands-tools = "1.11.5"
```
### `openhands/app_server/sandbox/sandbox_spec_service.py`
For released versions, the image tag uses the version number:
```python
AGENT_SERVER_IMAGE = 'ghcr.io/openhands/agent-server:1.11.5-python'
```
However, **some releases use a commit-hash tag** even for the released version. Check which tag format exists on GHCR. Example from `929dcc3`:
```python
AGENT_SERVER_IMAGE = 'ghcr.io/openhands/agent-server:010e847-python'
```
## Regenerate Lock Files
After any change to `pyproject.toml`, always regenerate:
```bash
poetry lock
uv lock
cd enterprise && poetry lock && cd ..
```
## CI Guards
- **`check-package-versions.yml`**: Blocks merge to `main` if `[tool.poetry.dependencies]` contains `rev` fields (prevents shipping unreleased SDK pins)
- **`check-version-consistency.yml`**: Validates version strings match across `pyproject.toml`, `package.json`, `package-lock.json`, and verifies compose files use `agent-server` images

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This way of running OpenHands is not officially supported. It is maintained by the community.

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// For format details, see: https://aka.ms/devcontainer.json
{
"name": "Python 3",
// Documentation for this image:
// - https://github.com/devcontainers/templates/tree/main/src/python
// - https://github.com/microsoft/vscode-remote-try-python
// - https://hub.docker.com/r/microsoft/devcontainers-python
"image": "mcr.microsoft.com/devcontainers/python:1-3.12-bullseye",
"features": {
"ghcr.io/devcontainers/features/docker-outside-of-docker:1": {},
"ghcr.io/devcontainers-extra/features/poetry:2": {},
"ghcr.io/devcontainers/features/node:1": {},
},
"postCreateCommand": ".devcontainer/setup.sh",
"runArgs": ["--add-host=host.docker.internal:host-gateway"],
"containerEnv": {
"DOCKER_HOST_ADDR": "host.docker.internal"
},
}

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#!/bin/bash
# Mark the current repository as safe for Git to prevent "dubious ownership" errors,
# which can occur in containerized environments when directory ownership doesn't match the current user.
git config --global --add safe.directory "$(realpath .)"
# Install `nc`
sudo apt update && sudo apt install netcat -y
# Install `uv` and `uvx`
wget -qO- https://astral.sh/uv/install.sh | sh
# Do common setup tasks
source .openhands/setup.sh

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# NodeJS
frontend/node_modules
# Configuration (except pyproject.toml)
*.ini
*.toml
!pyproject.toml
*.yml
# Documentation (except README.md)
*.md
!README.md
# Hidden files and directories
.*
__pycache__
# Unneded files and directories
/dev_config/
/docs/
/evaluation/
/tests/
CITATION.cff
config.toml
.envrc
.env
.git

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[*]
# force *nix line endings so files don't look modified in container run from Windows clone
end_of_line = lf
trim_trailing_whitespace = true
insert_final_newline = true

6
.gitattributes vendored
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*.ipynb linguist-vendored
# force *nix line endings so files don't look modified in container run from Windows clone
* text eol=lf
# Git incorrectly thinks some media is text
*.png -text
*.mp4 -text

19
.github/.codecov.yml vendored Normal file
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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:
patch:
default:
threshold: 100% # allow patch coverage to be lower than project coverage by any amount
project:
default:
threshold: 5% # allow project coverage to drop at most 5%
comment: false
github_checks:
annotations: false

8
.github/CODEOWNERS vendored
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# CODEOWNERS file for OpenHands repository
# See https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners
/frontend/ @amanape @hieptl
/openhands-ui/ @amanape @hieptl
/openhands/ @tofarr @malhotra5 @hieptl
/enterprise/ @chuckbutkus @tofarr @malhotra5
/evaluation/ @xingyaoww @neubig

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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 reporting a bug! 🐛
**Please fill out all required fields.** Issues missing critical information (version, installation method, reproduction steps, etc.) will be delayed or closed until complete details are provided.
Clear, detailed reports help us resolve issues faster.
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 search existing issues before creating a new one. If found, react or comment to the duplicate issue instead of making a new one.
description: Please check if an issue already exists for the bug you encountered.
options:
- label: I have searched existing issues and this is not a duplicate.
- 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: Bug Description
description: Clearly describe what went wrong. Be specific and concise.
placeholder: Example - "When I run a Python task, OpenHands crashes after 30 seconds with a connection timeout error."
label: Describe the bug
description: Provide a short description of the problem.
validations:
required: true
- type: textarea
id: expected-behavior
id: current-version
attributes:
label: Expected Behavior
description: What did you expect to happen?
placeholder: Example - "OpenHands should execute the Python script and return results."
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: false
required: true
- type: textarea
id: actual-behavior
id: config
attributes:
label: Actual Behavior
description: What actually happened?
placeholder: Example - "Connection timed out after 30 seconds, task failed with error code 500."
label: Installation and Configuration
description: Please provide any commands you ran and any configuration (redacting API keys)
render: bash
validations:
required: false
required: true
- type: textarea
id: reproduction-steps
id: model-agent
attributes:
label: Steps to Reproduce
description: Provide clear, step-by-step instructions to reproduce the bug.
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: |
1. Install OpenHands using Docker
2. Configure with Claude 3.5 Sonnet
3. Run command: `openhands run "write a python script"`
4. Wait 30 seconds
5. Error appears
validations:
required: false
- Model:
- Agent:
- type: dropdown
id: installation
attributes:
label: OpenHands Installation Method
description: How are you running OpenHands?
options:
- CLI (uv tool install)
- CLI (executable binary)
- CLI (Docker)
- Local GUI (Docker web interface)
- OpenHands Cloud (app.all-hands.dev)
- SDK (Python library)
- Development workflow
- Other
default: 0
validations:
required: false
- type: input
id: installation-other
attributes:
label: If you selected "Other", please specify
description: Describe your installation method
placeholder: ex. Custom Kubernetes deployment, pip install from source, etc.
- type: input
id: openhands-version
attributes:
label: OpenHands Version
description: What version are you using? Find this in settings or by running `openhands --version`
placeholder: ex. 0.9.8, main, commit hash, etc.
validations:
required: false
- type: checkboxes
id: version-confirmation
attributes:
label: Version Confirmation
description: Bugs on older versions may already be fixed. Please upgrade before submitting.
options:
- label: "I have confirmed this bug exists on the LATEST version of OpenHands"
required: false
- type: input
id: model-name
attributes:
label: Model Name
description: Which LLM model are you using?
placeholder: ex. gpt-4o, claude-3-5-sonnet-20241022, openrouter/deepseek-r1, etc.
validations:
required: false
- type: dropdown
id: os
- type: textarea
id: os-version
attributes:
label: Operating System
options:
- MacOS
- Linux
- WSL on Windows
- Windows (Docker Desktop)
- Other
validations:
required: false
- type: input
id: browser
attributes:
label: Browser (if using web UI)
description: |
If applicable, which browser and version?
placeholder: ex. Chrome 131, Firefox 133, Safari 17.2
description: What Operating System are you using? Linux, Mac OS, WSL on Windows
- type: textarea
id: logs
id: repro-steps
attributes:
label: Logs and Error Messages
description: |
**Paste relevant logs, error messages, or stack traces.** Use code blocks (```) for formatting.
LLM logs are in `logs/llm/default/`. Include timestamps if errors occurred at a specific time.
label: Reproduction Steps
description: Please list the steps to reproduce the issue.
placeholder: |
```
Paste error logs here
```
1.
2.
3.
- type: textarea
id: additional-context
attributes:
label: Screenshots and Additional Context
description: |
Add screenshots, videos, runtime environment, or other context that helps explain the issue.
💡 **Share conversation history:** In the OpenHands chat UI, click the 👎 or 👍 button (above the message input) to generate a shareable link to your conversation.
placeholder: Drag and drop screenshots here, paste links, or add additional context.
- type: markdown
attributes:
value: |
---
**Note:** Issues with incomplete information may be closed or deprioritized. Maintainers and community members have limited bandwidth and prioritize well-documented bugs that are easier to reproduce and fix. Thank you for your understanding!
label: Logs, Errors, Screenshots, and Additional Context
description: 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.

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@@ -1,2 +0,0 @@
# disable blank issue creation
blank_issues_enabled: false

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@@ -0,0 +1,18 @@
---
name: Feature Request
about: Suggest an idea for OpenDevin features
title: ''
labels: 'enhancement'
assignees: ''
---
**What problem or use case are you trying to solve?**
**Describe the UX of the solution you'd like**
**Do you have thoughts on the technical implementation?**
**Describe alternatives you've considered**
**Additional context**

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@@ -1,105 +0,0 @@
name: Feature Request or Enhancement
description: Suggest a new feature or improvement for OpenHands
title: '[Feature]: '
labels: ['enhancement']
body:
- type: markdown
attributes:
value: |
## Thank you for suggesting a feature! 💡
**Please provide detailed information.** Vague or low-effort requests may be closed. Well-documented feature requests with strong community support are more likely to be added to the roadmap.
- type: checkboxes
attributes:
label: Is there an existing feature request for this?
description: Please search existing issues and feature requests before creating a new one. If found, react or comment to the duplicate issue instead of making a new one.
options:
- label: I have searched existing issues and feature requests, and this is not a duplicate.
required: true
- type: textarea
id: problem-statement
attributes:
label: Problem or Use Case
description: What problem are you trying to solve? What use case would this feature enable?
placeholder: |
Example - "As a developer working on large codebases, I need to search across multiple files simultaneously. Currently, I have to search file-by-file which is time-consuming and inefficient."
validations:
required: true
- type: textarea
id: proposed-solution
attributes:
label: Proposed Solution
description: Describe your ideal solution. What should this feature do? How should it work?
placeholder: |
Example - "Add a global search feature that allows searching across all files in the workspace. Results should show file name, line number, and context around matches. Include regex support and filtering options."
validations:
required: true
- type: textarea
id: alternatives
attributes:
label: Alternatives Considered
description: Have you considered any alternative solutions or workarounds? What are their limitations?
placeholder: Example - "I tried using grep in the terminal, but it's not integrated with the UI and doesn't provide click-to-navigate functionality."
- type: dropdown
id: priority
attributes:
label: Priority / Severity
description: How important is this feature to your workflow?
options:
- "Critical - Blocking my work, no workaround available"
- "High - Significant impact on productivity"
- "Medium - Would improve experience"
- "Low - Nice to have"
default: 2
validations:
required: true
- type: dropdown
id: scope
attributes:
label: Estimated Scope
description: To the best of your knowledge, how complex do you think this feature would be to implement?
options:
- "Small - UI tweak, config option, or minor change"
- "Medium - New feature with moderate complexity"
- "Large - Significant feature requiring architecture changes"
- "Unknown - Not sure about the technical complexity"
default: 3
- type: dropdown
id: feature-area
attributes:
label: Feature Area
description: Which part of OpenHands does this feature relate to? If you select "Other", please specify the area in the Additional Context section below.
options:
- "Agent / AI behavior"
- "User Interface / UX"
- "CLI / Command-line interface"
- "File system / Workspace management"
- "Configuration / Settings"
- "Integrations (GitHub, GitLab, etc.)"
- "Performance / Optimization"
- "Documentation"
- "Other"
validations:
required: true
- type: textarea
id: technical-details
attributes:
label: Technical Implementation Ideas (Optional)
description: If you have technical expertise, share implementation ideas, API suggestions, or relevant technical details.
placeholder: |
Example - "Could use ripgrep library for fast search. Expose results via /api/search endpoint. Frontend can use virtualized list for rendering large result sets."
- type: textarea
id: additional-context
attributes:
label: Additional Context
description: Add any other context, screenshots, mockups, or examples that help illustrate this feature request.
placeholder: Drag and drop screenshots, mockups, or links here.

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@@ -0,0 +1,18 @@
---
name: Technical Proposal
about: Propose a new architecture or technology
title: ''
labels: 'proposal'
assignees: ''
---
**Summary**
**Motivation**
**Technical Design**
**Alternatives to Consider**
**Additional context**

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@@ -1,80 +1,22 @@
# 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"
browsergym:
patterns:
- "browsergym*"
mcp-packages:
patterns:
- "mcp"
security-all:
applies-to: "security-updates"
patterns:
- "*"
version-all:
applies-to: "version-updates"
patterns:
- "*"
- package-ecosystem: "npm"
directory: "/frontend"
open-pull-requests-limit: 20
- 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"
open-pull-requests-limit: 20
- package-ecosystem: "npm" # See documentation for possible values
directory: "/docs" # Location of package manifests
schedule:
interval: "weekly"
day: "wednesday"
open-pull-requests-limit: 1
groups:
docusaurus:
patterns:
- "*docusaurus*"
eslint:
patterns:
- "*eslint*"
security-all:
applies-to: "security-updates"
patterns:
- "*"
version-all:
applies-to: "version-updates"
patterns:
- "*"
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: "weekly"
- package-ecosystem: "docker"
directories:
- "containers/*"
schedule:
interval: "weekly"
interval: "daily"
open-pull-requests-limit: 20

View File

@@ -1,38 +1,5 @@
<!-- If you are still working on the PR, please mark it as draft. Maintainers will review PRs marked ready for review, which leads to lost time if your PR is actually not ready yet. Keep the PR marked as draft until it is finally ready for review -->
**What is the problem that this fixes or functionality that this introduces? Does it fix any open issues?**
## Summary of PR
**Give a brief summary of what the PR does, explaining any non-trivial design decisions**
<!-- Summarize what the PR does -->
## Demo Screenshots/Videos
<!-- AI/LLM AGENTS: This section is intended for a human author to add screenshots or videos demonstrating the PR in action (optional). While many pull requests may be generated by AI/LLM agents, we are fine with this as long as a human author has reviewed and tested the changes to ensure accuracy and functionality. -->
## Change Type
<!-- Choose the types that apply to your PR -->
- [ ] Bug fix
- [ ] New feature
- [ ] Breaking change
- [ ] Refactor
- [ ] Other (dependency update, docs, typo fixes, etc.)
## Checklist
<!-- AI/LLM AGENTS: This checklist is for a human author to complete. Do NOT check either of the two boxes below. Leave them unchecked until a human has personally reviewed and tested the changes. -->
- [ ] I have read and reviewed the code and I understand what the code is doing.
- [ ] I have tested the code to the best of my ability and ensured it works as expected.
## Fixes
<!-- If this resolves an issue, link it here so it will close automatically upon merge. -->
Resolves #(issue)
## Release Notes
<!-- Check the box if this change is worth adding to the release notes. If checked, you must provide an
end-user friendly description for your change below the checkbox. -->
- [ ] Include this change in the Release Notes.
**Other references**

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@@ -1,330 +0,0 @@
#!/usr/bin/env python3
"""
Find all PRs that went in between two commits in the OpenHands/OpenHands repository.
Handles cherry-picks and different merge strategies.
This script is designed to run from within the OpenHands repository under .github/scripts:
.github/scripts/find_prs_between_commits.py
Usage: find_prs_between_commits <older_commit> <newer_commit> [--repo <path>]
"""
import json
import os
import re
import subprocess
import sys
from collections import defaultdict
from pathlib import Path
from typing import Optional
def find_openhands_repo() -> Optional[Path]:
"""
Find the OpenHands repository.
Since this script is designed to live in .github/scripts/, it assumes
the repository root is two levels up from the script location.
Tries:
1. Repository root (../../ from script location)
2. Current directory
3. Environment variable OPENHANDS_REPO
"""
# Check repository root (assuming script is in .github/scripts/)
script_dir = Path(__file__).parent.absolute()
repo_root = (
script_dir.parent.parent
) # Go up two levels: scripts -> .github -> repo root
if (repo_root / '.git').exists():
return repo_root
# Check current directory
if (Path.cwd() / '.git').exists():
return Path.cwd()
# Check environment variable
if 'OPENHANDS_REPO' in os.environ:
repo_path = Path(os.environ['OPENHANDS_REPO'])
if (repo_path / '.git').exists():
return repo_path
return None
def run_git_command(cmd: list[str], repo_path: Path) -> str:
"""Run a git command in the repository directory and return its output."""
try:
result = subprocess.run(
cmd, capture_output=True, text=True, check=True, cwd=str(repo_path)
)
return result.stdout.strip()
except subprocess.CalledProcessError as e:
print(f'Error running git command: {" ".join(cmd)}', file=sys.stderr)
print(f'Error: {e.stderr}', file=sys.stderr)
sys.exit(1)
def extract_pr_numbers_from_message(message: str) -> set[int]:
"""Extract PR numbers from commit message in any common format."""
# Match #12345 anywhere, including in patterns like (#12345) or "Merge pull request #12345"
matches = re.findall(r'#(\d+)', message)
return set(int(m) for m in matches)
def get_commit_info(commit_hash: str, repo_path: Path) -> tuple[str, str, str]:
"""Get commit subject, body, and author from a commit hash."""
subject = run_git_command(
['git', 'log', '-1', '--format=%s', commit_hash], repo_path
)
body = run_git_command(['git', 'log', '-1', '--format=%b', commit_hash], repo_path)
author = run_git_command(
['git', 'log', '-1', '--format=%an <%ae>', commit_hash], repo_path
)
return subject, body, author
def get_commits_between(
older_commit: str, newer_commit: str, repo_path: Path
) -> list[str]:
"""Get all commit hashes between two commits."""
commits_output = run_git_command(
['git', 'rev-list', f'{older_commit}..{newer_commit}'], repo_path
)
if not commits_output:
return []
return commits_output.split('\n')
def get_pr_info_from_github(pr_number: int, repo_path: Path) -> Optional[dict]:
"""Get PR information from GitHub API if GITHUB_TOKEN is available."""
try:
# Set up environment with GitHub token
env = os.environ.copy()
if 'GITHUB_TOKEN' in env:
env['GH_TOKEN'] = env['GITHUB_TOKEN']
result = subprocess.run(
[
'gh',
'pr',
'view',
str(pr_number),
'--json',
'number,title,author,mergedAt,baseRefName,headRefName,url',
],
capture_output=True,
text=True,
check=True,
env=env,
cwd=str(repo_path),
)
return json.loads(result.stdout)
except (subprocess.CalledProcessError, FileNotFoundError, json.JSONDecodeError):
return None
def find_prs_between_commits(
older_commit: str, newer_commit: str, repo_path: Path
) -> dict[int, dict]:
"""
Find all PRs that went in between two commits.
Returns a dictionary mapping PR numbers to their information.
"""
print(f'Repository: {repo_path}', file=sys.stderr)
print('Finding PRs between commits:', file=sys.stderr)
print(f' Older: {older_commit}', file=sys.stderr)
print(f' Newer: {newer_commit}', file=sys.stderr)
print(file=sys.stderr)
# Verify commits exist
try:
run_git_command(['git', 'rev-parse', '--verify', older_commit], repo_path)
run_git_command(['git', 'rev-parse', '--verify', newer_commit], repo_path)
except SystemExit:
print('Error: One or both commits not found in repository', file=sys.stderr)
sys.exit(1)
# Extract PRs from the older commit itself (to exclude from results)
# These PRs are already included at or before the older commit
older_subject, older_body, _ = get_commit_info(older_commit, repo_path)
older_message = f'{older_subject}\n{older_body}'
excluded_prs = extract_pr_numbers_from_message(older_message)
if excluded_prs:
print(
f'Excluding PRs already in older commit: {", ".join(f"#{pr}" for pr in sorted(excluded_prs))}',
file=sys.stderr,
)
print(file=sys.stderr)
# Get all commits between the two
commits = get_commits_between(older_commit, newer_commit, repo_path)
print(f'Found {len(commits)} commits to analyze', file=sys.stderr)
print(file=sys.stderr)
# Extract PR numbers from all commits
pr_info: dict[int, dict] = {}
commits_by_pr: dict[int, list[str]] = defaultdict(list)
for commit_hash in commits:
subject, body, author = get_commit_info(commit_hash, repo_path)
full_message = f'{subject}\n{body}'
pr_numbers = extract_pr_numbers_from_message(full_message)
for pr_num in pr_numbers:
# Skip PRs that are already in the older commit
if pr_num in excluded_prs:
continue
commits_by_pr[pr_num].append(commit_hash)
if pr_num not in pr_info:
pr_info[pr_num] = {
'number': pr_num,
'first_commit': commit_hash[:8],
'first_commit_subject': subject,
'commits': [],
'github_info': None,
}
pr_info[pr_num]['commits'].append(
{'hash': commit_hash[:8], 'subject': subject, 'author': author}
)
# Try to get additional info from GitHub API
print('Fetching additional info from GitHub API...', file=sys.stderr)
for pr_num in pr_info.keys():
github_info = get_pr_info_from_github(pr_num, repo_path)
if github_info:
pr_info[pr_num]['github_info'] = github_info
print(file=sys.stderr)
return pr_info
def print_results(pr_info: dict[int, dict]):
"""Print the results in a readable format."""
sorted_prs = sorted(pr_info.items(), key=lambda x: x[0])
print(f'{"=" * 80}')
print(f'Found {len(sorted_prs)} PRs')
print(f'{"=" * 80}')
print()
for pr_num, info in sorted_prs:
print(f'PR #{pr_num}')
if info['github_info']:
gh = info['github_info']
print(f' Title: {gh["title"]}')
print(f' Author: {gh["author"]["login"]}')
print(f' URL: {gh["url"]}')
if gh.get('mergedAt'):
print(f' Merged: {gh["mergedAt"]}')
if gh.get('baseRefName'):
print(f' Base: {gh["baseRefName"]}{gh["headRefName"]}')
else:
print(f' Subject: {info["first_commit_subject"]}')
# Show if this PR has multiple commits (cherry-picked or multiple commits)
commit_count = len(info['commits'])
if commit_count > 1:
print(
f' ⚠️ Found {commit_count} commits (possible cherry-pick or multi-commit PR):'
)
for commit in info['commits'][:3]: # Show first 3
print(f' {commit["hash"]}: {commit["subject"][:60]}')
if commit_count > 3:
print(f' ... and {commit_count - 3} more')
else:
print(f' Commit: {info["first_commit"]}')
print()
def main():
if len(sys.argv) < 3:
print('Usage: find_prs_between_commits <older_commit> <newer_commit> [options]')
print()
print('Arguments:')
print(' <older_commit> The older commit hash (or ref)')
print(' <newer_commit> The newer commit hash (or ref)')
print()
print('Options:')
print(' --json Output results in JSON format')
print(' --repo <path> Path to OpenHands repository (default: auto-detect)')
print()
print('Example:')
print(
' find_prs_between_commits c79e0cd3c7a2501a719c9296828d7a31e4030585 35bddb14f15124a3dc448a74651a6592911d99e9'
)
print()
print('Repository Detection:')
print(' The script will try to find the OpenHands repository in this order:')
print(' 1. --repo argument')
print(' 2. Repository root (../../ from script location)')
print(' 3. Current directory')
print(' 4. OPENHANDS_REPO environment variable')
print()
print('Environment variables:')
print(
' GITHUB_TOKEN Optional. If set, will fetch additional PR info from GitHub API'
)
print(' OPENHANDS_REPO Optional. Path to OpenHands repository')
sys.exit(1)
older_commit = sys.argv[1]
newer_commit = sys.argv[2]
json_output = '--json' in sys.argv
# Check for --repo argument
repo_path = None
if '--repo' in sys.argv:
repo_idx = sys.argv.index('--repo')
if repo_idx + 1 < len(sys.argv):
repo_path = Path(sys.argv[repo_idx + 1])
if not (repo_path / '.git').exists():
print(f'Error: {repo_path} is not a git repository', file=sys.stderr)
sys.exit(1)
# Auto-detect repository if not specified
if repo_path is None:
repo_path = find_openhands_repo()
if repo_path is None:
print('Error: Could not find OpenHands repository', file=sys.stderr)
print('Please either:', file=sys.stderr)
print(
' 1. Place this script in .github/scripts/ within the OpenHands repository',
file=sys.stderr,
)
print(' 2. Run from the OpenHands repository directory', file=sys.stderr)
print(
' 3. Use --repo <path> to specify the repository location',
file=sys.stderr,
)
print(' 4. Set OPENHANDS_REPO environment variable', file=sys.stderr)
sys.exit(1)
# Find PRs
pr_info = find_prs_between_commits(older_commit, newer_commit, repo_path)
if json_output:
# Output as JSON
print(json.dumps(pr_info, indent=2))
else:
# Print results in human-readable format
print_results(pr_info)
# Also print a simple list for easy copying
print(f'{"=" * 80}')
print('PR Numbers (for easy copying):')
print(f'{"=" * 80}')
sorted_pr_nums = sorted(pr_info.keys())
print(', '.join(f'#{pr}' for pr in sorted_pr_nums))
if __name__ == '__main__':
main()

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@@ -1,58 +0,0 @@
#!/bin/bash
set -euxo pipefail
# This script updates the PR description with commands to run the PR locally
# It adds both Docker and uvx commands
# Get the branch name for the PR
BRANCH_NAME=$(gh pr view "$PR_NUMBER" --json headRefName --jq .headRefName)
# Define the Docker command
DOCKER_RUN_COMMAND="docker run -it --rm \
-p 3000:3000 \
-v /var/run/docker.sock:/var/run/docker.sock \
--add-host host.docker.internal:host-gateway \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.openhands.dev/openhands/runtime:${SHORT_SHA}-nikolaik \
--name openhands-app-${SHORT_SHA} \
docker.openhands.dev/openhands/openhands:${SHORT_SHA}"
# Get the current PR body
PR_BODY=$(gh pr view "$PR_NUMBER" --json body --jq .body)
# Prepare the new PR body with both commands
if echo "$PR_BODY" | grep -q "To run this PR locally, use the following command:"; then
# For existing PR descriptions, use a more robust approach
# Split the PR body at the "To run this PR locally" section and replace everything after it
BEFORE_SECTION=$(echo "$PR_BODY" | sed '/To run this PR locally, use the following command:/,$d')
NEW_PR_BODY=$(cat <<EOF
${BEFORE_SECTION}
To run this PR locally, use the following command:
GUI with Docker:
\`\`\`
${DOCKER_RUN_COMMAND}
\`\`\`
EOF
)
else
# For new PR descriptions: use heredoc safely without indentation
NEW_PR_BODY=$(cat <<EOF
$PR_BODY
---
To run this PR locally, use the following command:
GUI with Docker:
\`\`\`
${DOCKER_RUN_COMMAND}
\`\`\`
EOF
)
fi
# Update the PR description
echo "Updating PR description with Docker and uvx commands"
gh pr edit "$PR_NUMBER" --body "$NEW_PR_BODY"

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@@ -1,65 +0,0 @@
name: Check Package Versions
on:
push:
branches: [main]
pull_request:
workflow_dispatch:
jobs:
check-package-versions:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: "3.12"
- name: Check for any 'rev' fields in pyproject.toml
run: |
python - <<'PY'
import sys, tomllib, pathlib
path = pathlib.Path("pyproject.toml")
if not path.exists():
print("❌ ERROR: pyproject.toml not found")
sys.exit(1)
try:
data = tomllib.loads(path.read_text(encoding="utf-8"))
except Exception as e:
print(f"❌ ERROR: Failed to parse pyproject.toml: {e}")
sys.exit(1)
poetry = data.get("tool", {}).get("poetry", {})
sections = {
"dependencies": poetry.get("dependencies", {}),
}
errors = []
print("🔍 Checking for any dependencies with 'rev' fields...\n")
for section_name, deps in sections.items():
if not isinstance(deps, dict):
continue
for pkg_name, cfg in deps.items():
if isinstance(cfg, dict) and "rev" in cfg:
msg = f" ✖ {pkg_name} in [{section_name}] uses rev='{cfg['rev']}' (NOT ALLOWED)"
print(msg)
errors.append(msg)
else:
print(f" • {pkg_name}: OK")
if errors:
print("\n❌ FAILED: Found dependencies using 'rev' fields:\n" + "\n".join(errors))
print("\nPlease use versioned releases instead, e.g.:")
print(' my-package = "1.0.0"')
sys.exit(1)
print("\n✅ SUCCESS: No 'rev' fields found. All dependencies are using proper versioned releases.")
PY

View File

@@ -1,122 +0,0 @@
name: Check Version Consistency
on:
push:
branches: [main]
pull_request:
workflow_dispatch:
jobs:
check-version-consistency:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: "3.12"
- name: Check version and Docker image tag consistency
run: |
python - <<'PY'
import json
import re
import sys
import tomllib
errors = []
warnings = []
# ── 1. Extract the canonical version from pyproject.toml ──────────
with open("pyproject.toml", "rb") as f:
pyproject = tomllib.load(f)
version = pyproject["tool"]["poetry"]["version"]
major_minor = ".".join(version.split(".")[:2])
print(f"📦 pyproject.toml version: {version} (major.minor: {major_minor})")
# ── 2. Check frontend/package.json ────────────────────────────────
with open("frontend/package.json") as f:
pkg = json.load(f)
if pkg["version"] != version:
errors.append(
f"frontend/package.json version is '{pkg['version']}', expected '{version}'"
)
else:
print(f" ✔ frontend/package.json: {pkg['version']}")
# ── 3. Check frontend/package-lock.json (2 places) ───────────────
with open("frontend/package-lock.json") as f:
lock = json.load(f)
for key, val in [
("root.version", lock.get("version")),
('packages[""].version', lock.get("packages", {}).get("", {}).get("version")),
]:
if val != version:
errors.append(
f"frontend/package-lock.json {key} is '{val}', expected '{version}'"
)
else:
print(f" ✔ frontend/package-lock.json {key}: {val}")
# ── 4. Check compose files use agent-server images ─────────────────
# Both compose files should use ghcr.io/.../agent-server (not runtime).
# Agent-server tags use SDK version (e.g. "1.12.0-python") or commit
# hashes (e.g. "31536c8-python") — both are acceptable.
repo_pattern = re.compile(r"AGENT_SERVER_IMAGE_REPOSITORY[^}]*:-([^}]+)")
tag_pattern = re.compile(r"AGENT_SERVER_IMAGE_TAG:-([^}]+)")
for filepath in ["docker-compose.yml", "containers/dev/compose.yml"]:
try:
with open(filepath) as f:
content = f.read()
except FileNotFoundError:
warnings.append(f"{filepath}: file not found")
continue
repos = repo_pattern.findall(content)
tags = tag_pattern.findall(content)
if not repos:
warnings.append(f"{filepath}: no AGENT_SERVER_IMAGE_REPOSITORY default found")
else:
repo = repos[0]
if "agent-server" not in repo:
errors.append(
f"{filepath}: AGENT_SERVER_IMAGE_REPOSITORY defaults to '{repo}', "
f"expected an agent-server image (not runtime)"
)
else:
print(f" ✔ {filepath} image repository: {repo}")
if not tags:
warnings.append(f"{filepath}: no AGENT_SERVER_IMAGE_TAG default found")
else:
tag = tags[0]
if not tag:
errors.append(f"{filepath}: AGENT_SERVER_IMAGE_TAG default is empty")
else:
print(f" ✔ {filepath} image tag: {tag}")
# ── 5. Report ─────────────────────────────────────────────────────
print()
if warnings:
print("⚠ Warnings:")
for w in warnings:
print(f" {w}")
print()
if errors:
print("❌ FAILED: Version inconsistencies found:\n")
for e in errors:
print(f" ✖ {e}")
print(
"\nAll version numbers and Docker image tags must be consistent."
"\nSee .agents/skills/update-sdk/SKILL.md for the full checklist."
)
sys.exit(1)
else:
print("✅ All version numbers and Docker image tags are consistent.")
PY

59
.github/workflows/deploy-docs.yml vendored Normal file
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@@ -0,0 +1,59 @@
name: Deploy Docs to GitHub Pages
on:
push:
branches:
- main
pull_request:
branches:
- main
jobs:
build:
name: Build Docusaurus
runs-on: ubuntu-latest
if: github.repository == 'OpenDevin/OpenDevin'
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- uses: actions/setup-node@v4
with:
node-version: 18
cache: npm
cache-dependency-path: docs/package-lock.json
- name: Set up Python
uses: actions/setup-python@v5
with:
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:
name: Deploy to GitHub Pages
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
id-token: write # to verify the deployment originates from an appropriate source
# Deploy to the github-pages environment
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
runs-on: ubuntu-latest
steps:
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v4

42
.github/workflows/dummy-agent-test.yml vendored Normal file
View File

@@ -0,0 +1,42 @@
name: Run E2E test with dummy agent
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
on:
push:
branches:
- main
pull_request:
env:
PERSIST_SANDBOX : "false"
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
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
poetry run python opendevin/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

View File

@@ -1,228 +0,0 @@
name: End-to-End Tests
on:
pull_request:
types: [opened, synchronize, reopened, labeled]
branches:
- main
- develop
workflow_dispatch:
jobs:
e2e-tests:
if: contains(github.event.pull_request.labels.*.name, 'end-to-end') || github.event_name == 'workflow_dispatch'
runs-on: ubuntu-latest
timeout-minutes: 60
env:
GITHUB_REPO_NAME: ${{ github.repository }}
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Install poetry via pipx
uses: abatilo/actions-poetry@v4
with:
poetry-version: 2.1.3
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: '3.12'
cache: 'poetry'
- name: Install system dependencies
run: |
sudo apt-get update
sudo apt-get install -y libgtk-3-0 libnotify4 libnss3 libxss1 libxtst6 xauth xvfb libgbm1 libasound2t64 netcat-openbsd
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: '22'
cache: 'npm'
cache-dependency-path: 'frontend/package-lock.json'
- name: Setup environment for end-to-end tests
run: |
# Create test results directory
mkdir -p test-results
# Create downloads directory for OpenHands (use a directory in the home folder)
mkdir -p $HOME/downloads
sudo chown -R $USER:$USER $HOME/downloads
sudo chmod -R 755 $HOME/downloads
- name: Build OpenHands
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
LLM_MODEL: ${{ secrets.LLM_MODEL || 'gpt-4o' }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY || 'test-key' }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
INSTALL_DOCKER: 1
RUNTIME: docker
FRONTEND_PORT: 12000
FRONTEND_HOST: 0.0.0.0
BACKEND_HOST: 0.0.0.0
BACKEND_PORT: 3000
ENABLE_BROWSER: true
INSTALL_PLAYWRIGHT: 1
run: |
# Fix poetry.lock file if needed
echo "Fixing poetry.lock file if needed..."
poetry lock
# Build OpenHands using make build
echo "Running make build..."
make build
# Install Chromium Headless Shell for Playwright (needed for pytest-playwright)
echo "Installing Chromium Headless Shell for Playwright..."
poetry run playwright install chromium-headless-shell
# Verify Playwright browsers are installed (for e2e tests only)
echo "Verifying Playwright browsers installation for e2e tests..."
BROWSER_CHECK=$(poetry run python tests/e2e/check_playwright.py 2>/dev/null)
if [ "$BROWSER_CHECK" != "chromium_found" ]; then
echo "ERROR: Chromium browser not found or not working for e2e tests"
echo "$BROWSER_CHECK"
exit 1
else
echo "Playwright browsers are properly installed for e2e tests."
fi
# Docker runtime will handle workspace directory creation
# Start the application using make run with custom parameters and reduced logging
echo "Starting OpenHands using make run..."
# Set environment variables to reduce logging verbosity
export PYTHONUNBUFFERED=1
export LOG_LEVEL=WARNING
export UVICORN_LOG_LEVEL=warning
export OPENHANDS_LOG_LEVEL=WARNING
FRONTEND_PORT=12000 FRONTEND_HOST=0.0.0.0 BACKEND_HOST=0.0.0.0 make run > /tmp/openhands-e2e-test.log 2>&1 &
# Store the PID of the make run process
MAKE_PID=$!
echo "OpenHands started with PID: $MAKE_PID"
# Wait for the application to start
echo "Waiting for OpenHands to start..."
max_attempts=15
attempt=1
while [ $attempt -le $max_attempts ]; do
echo "Checking if OpenHands is running (attempt $attempt of $max_attempts)..."
# Check if the process is still running
if ! ps -p $MAKE_PID > /dev/null; then
echo "ERROR: OpenHands process has terminated unexpectedly"
echo "Last 50 lines of the log:"
tail -n 50 /tmp/openhands-e2e-test.log
exit 1
fi
# Check if frontend port is open
if nc -z localhost 12000; then
# Verify we can get HTML content
if curl -s http://localhost:12000 | grep -q "<html"; then
echo "SUCCESS: OpenHands is running and serving HTML content on port 12000"
break
else
echo "Port 12000 is open but not serving HTML content yet"
fi
else
echo "Frontend port 12000 is not open yet"
fi
# Show log output on each attempt
echo "Recent log output:"
tail -n 20 /tmp/openhands-e2e-test.log
# Wait before next attempt
echo "Waiting 10 seconds before next check..."
sleep 10
attempt=$((attempt + 1))
# Exit if we've reached the maximum number of attempts
if [ $attempt -gt $max_attempts ]; then
echo "ERROR: OpenHands failed to start after $max_attempts attempts"
echo "Last 50 lines of the log:"
tail -n 50 /tmp/openhands-e2e-test.log
exit 1
fi
done
# Final verification that the app is running
if ! nc -z localhost 12000 || ! curl -s http://localhost:12000 | grep -q "<html"; then
echo "ERROR: OpenHands is not running properly on port 12000"
echo "Last 50 lines of the log:"
tail -n 50 /tmp/openhands-e2e-test.log
exit 1
fi
# Print success message
echo "OpenHands is running successfully on port 12000"
- name: Run end-to-end tests
env:
GITHUB_TOKEN: ${{ secrets.E2E_TEST_GITHUB_TOKEN }}
LLM_MODEL: ${{ secrets.LLM_MODEL || 'gpt-4o' }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY || 'test-key' }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
run: |
# Check if the application is running
if ! nc -z localhost 12000; then
echo "ERROR: OpenHands is not running on port 12000"
echo "Last 50 lines of the log:"
tail -n 50 /tmp/openhands-e2e-test.log
exit 1
fi
# Run the tests with detailed output
cd tests/e2e
poetry run python -m pytest \
test_settings.py::test_github_token_configuration \
test_conversation.py::test_conversation_start \
test_browsing_catchphrase.py::test_browsing_catchphrase \
test_multi_conversation_resume.py::test_multi_conversation_resume \
-v --no-header --capture=no --timeout=900
- name: Upload test results
if: always()
uses: actions/upload-artifact@v6
with:
name: playwright-report
path: tests/e2e/test-results/
retention-days: 30
- name: Upload OpenHands logs
if: always()
uses: actions/upload-artifact@v6
with:
name: openhands-logs
path: |
/tmp/openhands-e2e-test.log
/tmp/openhands-e2e-build.log
/tmp/openhands-backend.log
/tmp/openhands-frontend.log
/tmp/backend-health-check.log
/tmp/frontend-check.log
/tmp/vite-config.log
/tmp/makefile-contents.log
retention-days: 30
- name: Cleanup
if: always()
run: |
# Stop OpenHands processes
echo "Stopping OpenHands processes..."
pkill -f "python -m openhands.server" || true
pkill -f "npm run dev" || true
pkill -f "make run" || true
# Print process status for debugging
echo "Checking if any OpenHands processes are still running:"
ps aux | grep -E "openhands|npm run dev" || true

View File

@@ -1,52 +0,0 @@
name: Enterprise Check Migrations
on:
pull_request:
paths:
- 'enterprise/migrations/**'
jobs:
check-sync:
runs-on: ubuntu-latest
steps:
- name: Checkout PR branch
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha }}
fetch-depth: 0
- name: Fetch base branch
run: git fetch origin ${{ github.event.pull_request.base.ref }}
- name: Check if base branch is ancestor of PR
id: check_up_to_date
shell: bash
run: |
BASE="origin/${{ github.event.pull_request.base.ref }}"
HEAD="${{ github.event.pull_request.head.sha }}"
if git merge-base --is-ancestor "$BASE" "$HEAD"; then
echo "We're up to date with base $BASE"
exit 0
else
echo "NOT up to date with base $BASE"
exit 1
fi
- name: Find Comment
uses: peter-evans/find-comment@v3
id: find-comment
with:
issue-number: ${{ github.event.pull_request.number }}
comment-author: 'github-actions[bot]'
body-includes: |
⚠️ This PR contains **migrations**
- name: Comment warning on PR
uses: peter-evans/create-or-update-comment@v5
with:
issue-number: ${{ github.event.pull_request.number }}
comment-id: ${{ steps.find-comment.outputs.comment-id }}
edit-mode: replace
body: |
⚠️ This PR contains **migrations**. Please synchronize before merging to prevent conflicts.

View File

@@ -1,47 +0,0 @@
# Workflow that runs frontend e2e tests with Playwright
name: Run Frontend E2E Tests
on:
push:
branches:
- main
pull_request:
paths:
- "frontend/**"
- ".github/workflows/fe-e2e-tests.yml"
concurrency:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
jobs:
fe-e2e-test:
name: FE E2E Tests
runs-on: blacksmith-4vcpu-ubuntu-2204
strategy:
matrix:
node-version: [22]
fail-fast: true
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Set up Node.js
uses: useblacksmith/setup-node@v5
with:
node-version: ${{ matrix.node-version }}
- name: Install dependencies
working-directory: ./frontend
run: npm ci
- name: Install Playwright browsers
working-directory: ./frontend
run: npx playwright install --with-deps chromium
- name: Run Playwright tests
working-directory: ./frontend
run: npx playwright test --project=chromium
- name: Upload Playwright report
uses: actions/upload-artifact@v6
if: always()
with:
name: playwright-report
path: frontend/playwright-report/
retention-days: 30

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: blacksmith-4vcpu-ubuntu-2204
strategy:
matrix:
node-version: [22]
fail-fast: true
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Set up Node.js
uses: useblacksmith/setup-node@v5
with:
node-version: ${{ matrix.node-version }}
- name: Install dependencies
working-directory: ./frontend
run: npm ci
- name: Run TypeScript compilation
working-directory: ./frontend
run: npm run build
- name: Run tests and collect coverage
working-directory: ./frontend
run: npm run test:coverage

View File

@@ -1,274 +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
- "saas-rel-*"
tags:
- "*"
pull_request:
workflow_dispatch:
inputs:
reason:
description: "Reason for manual trigger"
required: true
default: ""
# If triggered by a PR, it will be in the same group. However, each commit on main will be in its own unique group
concurrency:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
env:
RELEVANT_SHA: ${{ github.event.pull_request.head.sha || github.sha }}
jobs:
define-matrix:
runs-on: blacksmith
outputs:
base_image: ${{ steps.define-base-images.outputs.base_image }}
steps:
- name: Define base images
shell: bash
id: define-base-images
run: |
if [[ "$GITHUB_EVENT_NAME" == "pull_request" ]]; then
json=$(jq -n -c '[
{ image: "nikolaik/python-nodejs:python3.12-nodejs22", tag: "nikolaik" }
]')
else
json=$(jq -n -c '[
{ image: "nikolaik/python-nodejs:python3.12-nodejs22", tag: "nikolaik" },
{ image: "ubuntu:24.04", tag: "ubuntu" }
]')
fi
echo "base_image=$json" >> "$GITHUB_OUTPUT"
# Builds the OpenHands Docker images
ghcr_build_app:
name: Build App Image
runs-on: blacksmith-4vcpu-ubuntu-2204
if: "!(github.event_name == 'push' && startsWith(github.ref, 'refs/tags/ext-v'))"
permissions:
contents: read
packages: write
steps:
- name: Checkout
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha }}
- name: Set up QEMU
uses: docker/setup-qemu-action@v3.7.0
with:
image: tonistiigi/binfmt:latest
- name: Login to GHCR
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Lowercase Repository Owner
run: |
echo REPO_OWNER=$(echo ${{ github.repository_owner }} | tr '[:upper:]' '[:lower:]') >> $GITHUB_ENV
- name: Build and push app image
if: "!github.event.pull_request.head.repo.fork"
run: |
./containers/build.sh -i openhands -o ${{ env.REPO_OWNER }} --push
# Builds the runtime Docker images
ghcr_build_runtime:
name: Build Runtime Image
runs-on: blacksmith-8vcpu-ubuntu-2204
if: "!(github.event_name == 'push' && startsWith(github.ref, 'refs/tags/ext-v'))"
permissions:
contents: read
packages: write
needs: define-matrix
strategy:
matrix:
base_image: ${{ fromJson(needs.define-matrix.outputs.base_image) }}
steps:
- name: Checkout
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha }}
- name: Set up QEMU
uses: docker/setup-qemu-action@v3.7.0
with:
image: tonistiigi/binfmt:latest
- name: Login to GHCR
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: useblacksmith/setup-python@v6
with:
python-version: "3.12"
cache: poetry
- name: Install Python dependencies using Poetry
run: make install-python-dependencies POETRY_GROUP=main INSTALL_PLAYWRIGHT=0
- name: Create source distribution and Dockerfile
run: poetry run python3 -m openhands.runtime.utils.runtime_build --base_image ${{ matrix.base_image.image }} --build_folder containers/runtime --force_rebuild
- name: Lowercase Repository Owner
run: |
echo REPO_OWNER=$(echo ${{ github.repository_owner }} | tr '[:upper:]' '[:lower:]') >> $GITHUB_ENV
- name: Short SHA
run: |
echo SHORT_SHA=$(git rev-parse --short "$RELEVANT_SHA") >> $GITHUB_ENV
- name: Determine docker build params
if: github.event.pull_request.head.repo.fork != true
shell: bash
run: |
./containers/build.sh -i runtime -o ${{ env.REPO_OWNER }} -t ${{ matrix.base_image.tag }} --dry
DOCKER_BUILD_JSON=$(jq -c . < docker-build-dry.json)
echo "DOCKER_TAGS=$(echo "$DOCKER_BUILD_JSON" | jq -r '.tags | join(",")')" >> $GITHUB_ENV
echo "DOCKER_PLATFORM=$(echo "$DOCKER_BUILD_JSON" | jq -r '.platform')" >> $GITHUB_ENV
echo "DOCKER_BUILD_ARGS=$(echo "$DOCKER_BUILD_JSON" | jq -r '.build_args | join(",")')" >> $GITHUB_ENV
- name: Build and push runtime image ${{ matrix.base_image.image }}
if: github.event.pull_request.head.repo.fork != true
uses: useblacksmith/build-push-action@v1
with:
push: true
tags: ${{ env.DOCKER_TAGS }}
platforms: ${{ env.DOCKER_PLATFORM }}
# Caching directives to boost performance
cache-from: type=registry,ref=ghcr.io/${{ env.REPO_OWNER }}/runtime:buildcache-${{ matrix.base_image.tag }}
cache-to: type=registry,ref=ghcr.io/${{ env.REPO_OWNER }}/runtime:buildcache-${{ matrix.base_image.tag }},mode=max
build-args: ${{ env.DOCKER_BUILD_ARGS }}
context: containers/runtime
provenance: false
# Forked repos can't push to GHCR, so we just build in order to populate the cache for rebuilding
- name: Build runtime image ${{ matrix.base_image.image }} for fork
if: github.event.pull_request.head.repo.fork
uses: useblacksmith/build-push-action@v1
with:
tags: ghcr.io/${{ env.REPO_OWNER }}/runtime:${{ env.RELEVANT_SHA }}-${{ matrix.base_image.tag }}
context: containers/runtime
- name: Upload runtime source for fork
if: github.event.pull_request.head.repo.fork
uses: actions/upload-artifact@v6
with:
name: runtime-src-${{ matrix.base_image.tag }}
path: containers/runtime
ghcr_build_enterprise:
name: Push Enterprise Image
runs-on: blacksmith-8vcpu-ubuntu-2204
permissions:
contents: read
packages: write
needs: [define-matrix, ghcr_build_app]
# Do not build enterprise in forks
if: github.event.pull_request.head.repo.fork != true
steps:
- name: Checkout
uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha }}
# Set up Docker Buildx for better performance
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
with:
driver-opts: network=host
- name: Login to GHCR
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Extract metadata (tags, labels) for Docker
id: meta
uses: docker/metadata-action@v5
with:
images: ghcr.io/openhands/enterprise-server
tags: |
type=ref,event=branch
type=ref,event=pr
type=sha
type=sha,format=long
type=semver,pattern={{version}}
type=semver,pattern={{major}}.{{minor}}
type=semver,pattern={{major}}
flavor: |
latest=auto
prefix=
suffix=
env:
DOCKER_METADATA_PR_HEAD_SHA: true
- name: Determine app image tag
shell: bash
run: |
# Duplicated with build.sh
sanitized_ref_name=$(echo "$GITHUB_REF_NAME" | sed 's/[^a-zA-Z0-9.-]\+/-/g')
OPENHANDS_BUILD_VERSION=$sanitized_ref_name
sanitized_ref_name=$(echo "$sanitized_ref_name" | tr '[:upper:]' '[:lower:]') # lower case is required in tagging
echo "OPENHANDS_DOCKER_TAG=${sanitized_ref_name}" >> $GITHUB_ENV
- name: Build and push Docker image
uses: useblacksmith/build-push-action@v1
with:
context: .
file: enterprise/Dockerfile
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
build-args: |
OPENHANDS_VERSION=${{ env.OPENHANDS_DOCKER_TAG }}
platforms: linux/amd64
# Add build provenance
provenance: true
# Add build attestations for better security
sbom: true
# "All Runtime Tests Passed" is a required job for PRs to merge
# We can remove this once the config changes
runtime_tests_check_success:
name: All Runtime Tests Passed
runs-on: blacksmith-4vcpu-ubuntu-2204
steps:
- name: All tests passed
run: echo "All runtime tests have passed successfully!"
update_pr_description:
name: Update PR Description
if: github.event_name == 'pull_request' && !github.event.pull_request.head.repo.fork && github.actor != 'dependabot[bot]'
needs: [ghcr_build_runtime]
runs-on: blacksmith-4vcpu-ubuntu-2204
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Get short SHA
id: short_sha
run: echo "SHORT_SHA=$(echo ${{ github.event.pull_request.head.sha }} | cut -c1-7)" >> $GITHUB_OUTPUT
- name: Update PR Description
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PR_NUMBER: ${{ github.event.pull_request.number }}
REPO: ${{ github.repository }}
SHORT_SHA: ${{ steps.short_sha.outputs.SHORT_SHA }}
shell: bash
run: |
echo "Updating PR description with Docker and uvx commands"
bash ${GITHUB_WORKSPACE}/.github/scripts/update_pr_description.sh

263
.github/workflows/ghcr.yml vendored Normal file
View File

@@ -0,0 +1,263 @@
name: Build Publish and Test 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:
runs-on: ubuntu-latest
outputs:
tags: ${{ steps.capture-tags.outputs.tags }}
permissions:
contents: read
packages: write
strategy:
matrix:
image: ["sandbox", "opendevin"]
platform: ["amd64", "arm64"]
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: Build and export image
id: build
run: ./containers/build.sh ${{ matrix.image }} ${{ github.repository_owner }} ${{ matrix.platform }}
- name: Capture tags
id: capture-tags
run: |
tags=$(cat tags.txt)
echo "tags=$tags"
echo "tags=$tags" >> $GITHUB_OUTPUT
- name: Upload Docker image as artifact
uses: actions/upload-artifact@v4
with:
name: ${{ matrix.image }}-docker-image-${{ matrix.platform }}
path: /tmp/${{ matrix.image }}_image_${{ matrix.platform }}.tar
test-for-sandbox:
name: Test for Sandbox
runs-on: ubuntu-latest
needs: ghcr_build
env:
PERSIST_SANDBOX: "false"
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: make install-python-dependencies
- name: Download sandbox Docker image
uses: actions/download-artifact@v4
with:
name: sandbox-docker-image-amd64
path: /tmp/
- name: Load sandbox image and run sandbox tests
run: |
# Load the Docker image and capture the output
output=$(docker load -i /tmp/sandbox_image_amd64.tar)
# Extract the first image name from the output
image_name=$(echo "$output" | grep -oP 'Loaded image: \K.*' | head -n 1)
# Print the full name of the image
echo "Loaded Docker image: $image_name"
SANDBOX_CONTAINER_IMAGE=$image_name TEST_IN_CI=true 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 }}
integration-tests-on-linux:
name: Integration Tests on Linux
runs-on: ubuntu-latest
needs: ghcr_build
env:
PERSIST_SANDBOX: "false"
strategy:
fail-fast: false
matrix:
python-version: ["3.11"]
sandbox: ["ssh", "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: make install-python-dependencies
- name: Download sandbox Docker image
uses: actions/download-artifact@v4
with:
name: sandbox-docker-image-amd64
path: /tmp/
- name: Load sandbox image and run integration tests
env:
SANDBOX_BOX_TYPE: ${{ matrix.sandbox }}
run: |
# Load the Docker image and capture the output
output=$(docker load -i /tmp/sandbox_image_amd64.tar)
# Extract the first image name from the output
image_name=$(echo "$output" | grep -oP 'Loaded image: \K.*' | head -n 1)
# Print the full name of the image
echo "Loaded Docker image: $image_name"
SANDBOX_CONTAINER_IMAGE=$image_name 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 }}
ghcr_push:
runs-on: ubuntu-latest
# don't push if integration tests or sandbox tests fail
needs: [ghcr_build, integration-tests-on-linux, test-for-sandbox]
if: github.ref == 'refs/heads/main' || startsWith(github.ref, 'refs/tags/')
env:
tags: ${{ needs.ghcr_build.outputs.tags }}
permissions:
contents: read
packages: write
strategy:
matrix:
image: ["sandbox", "opendevin"]
platform: ["amd64", "arm64"]
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Login to GHCR
uses: docker/login-action@v2
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Download Docker images
uses: actions/download-artifact@v4
with:
name: ${{ matrix.image }}-docker-image-${{ matrix.platform }}
path: /tmp/${{ matrix.platform }}
- name: Load images and push to registry
run: |
mv /tmp/${{ matrix.platform }}/${{ matrix.image }}_image_${{ matrix.platform }}.tar .
loaded_image=$(docker load -i ${{ matrix.image }}_image_${{ matrix.platform }}.tar | grep "Loaded image:" | head -n 1 | awk '{print $3}')
echo "loaded image = $loaded_image"
tags=$(echo ${tags} | tr ' ' '\n')
image_name=$(echo "ghcr.io/${{ github.repository_owner }}/${{ matrix.image }}" | tr '[:upper:]' '[:lower:]')
echo "image name = $image_name"
for tag in $tags; do
echo "tag = $tag"
docker tag $loaded_image $image_name:${tag}_${{ matrix.platform }}
docker push $image_name:${tag}_${{ matrix.platform }}
done
create_manifest:
runs-on: ubuntu-latest
needs: [ghcr_build, ghcr_push]
if: github.ref == 'refs/heads/main' || startsWith(github.ref, 'refs/tags/')
env:
tags: ${{ needs.ghcr_build.outputs.tags }}
strategy:
matrix:
image: ["sandbox", "opendevin"]
permissions:
contents: read
packages: write
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Login to GHCR
uses: docker/login-action@v2
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Create and push multi-platform manifest
run: |
image_name=$(echo "ghcr.io/${{ github.repository_owner }}/${{ matrix.image }}" | tr '[:upper:]' '[:lower:]')
echo "image name = $image_name"
tags=$(echo ${tags} | tr ' ' '\n')
for tag in $tags; do
echo 'tag = $tag'
docker buildx imagetools create --tag $image_name:$tag \
$image_name:${tag}_amd64 \
$image_name:${tag}_arm64
done

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@@ -1,97 +0,0 @@
name: Lint Fix
on:
pull_request:
types: [labeled]
jobs:
# Frontend lint fixes
lint-fix-frontend:
if: github.event.label.name == 'lint-fix'
name: Fix frontend linting issues
runs-on: blacksmith-4vcpu-ubuntu-2204
permissions:
contents: write
pull-requests: write
steps:
- uses: actions/checkout@v4
with:
ref: ${{ github.head_ref }}
repository: ${{ github.event.pull_request.head.repo.full_name }}
fetch-depth: 0
token: ${{ secrets.GITHUB_TOKEN }}
- name: Install Node.js 22
uses: useblacksmith/setup-node@v5
with:
node-version: 22
- name: Install frontend dependencies
run: |
cd frontend
npm install --frozen-lockfile
- name: Generate i18n and route types
run: |
cd frontend
npm run make-i18n
npx react-router typegen || true
- name: Fix frontend lint issues
run: |
cd frontend
npm run lint:fix
# Commit and push changes if any
- name: Check for changes
id: git-check
run: |
git diff --quiet || echo "changes=true" >> $GITHUB_OUTPUT
- name: Commit and push if there are changes
if: steps.git-check.outputs.changes == 'true'
run: |
git config --local user.email "openhands@all-hands.dev"
git config --local user.name "OpenHands Bot"
git add -A
git commit -m "🤖 Auto-fix frontend linting issues" --no-verify
git push
# Python lint fixes
lint-fix-python:
if: github.event.label.name == 'lint-fix'
name: Fix Python linting issues
runs-on: blacksmith-4vcpu-ubuntu-2204
permissions:
contents: write
pull-requests: write
steps:
- uses: actions/checkout@v4
with:
ref: ${{ github.head_ref }}
repository: ${{ github.event.pull_request.head.repo.full_name }}
fetch-depth: 0
token: ${{ secrets.GITHUB_TOKEN }}
- name: Set up python
uses: useblacksmith/setup-python@v6
with:
python-version: 3.12
cache: "pip"
- name: Install pre-commit
run: pip install pre-commit==3.7.0
- name: Fix python lint issues
run: |
# Run all pre-commit hooks and continue even if they modify files (exit code 1)
pre-commit run --config ./dev_config/python/.pre-commit-config.yaml --all-files || true
# Commit and push changes if any
- name: Check for changes
id: git-check
run: |
git diff --quiet || echo "changes=true" >> $GITHUB_OUTPUT
- name: Commit and push if there are changes
if: steps.git-check.outputs.changes == 'true'
run: |
git config --local user.email "openhands@all-hands.dev"
git config --local user.name "OpenHands Bot"
git add -A
git commit -m "🤖 Auto-fix Python linting issues" --no-verify
git push

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@@ -1,74 +1,50 @@
# 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
- main
pull_request:
# If triggered by a PR, it will be in the same group. However, each commit on main will be in its own unique group
concurrency:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
jobs:
# Run lint on the frontend code
lint-frontend:
name: Lint frontend
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install Node.js 22
uses: useblacksmith/setup-node@v5
- name: Install Node.js 20
uses: actions/setup-node@v4
with:
node-version: 22
node-version: 20
- name: Install dependencies
run: |
cd frontend
npm install --frozen-lockfile
- name: Lint, TypeScript compilation, and translation checks
- name: Lint
run: |
cd frontend
npm run lint
npm run make-i18n && tsc
npm run check-translation-completeness
# Run lint on the python code
lint-python:
name: Lint python
runs-on: blacksmith-4vcpu-ubuntu-2204
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up python
uses: useblacksmith/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: 3.12
cache: "pip"
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 --all-files --show-diff-on-failure --config ./dev_config/python/.pre-commit-config.yaml
lint-enterprise-python:
name: Lint enterprise python
runs-on: blacksmith-4vcpu-ubuntu-2204
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up python
uses: useblacksmith/setup-python@v6
with:
python-version: 3.12
cache: "pip"
- name: Install pre-commit
run: pip install pre-commit==4.2.0
- name: Run pre-commit hooks
working-directory: ./enterprise
run: pre-commit run --all-files --show-diff-on-failure --config ./dev_config/python/.pre-commit-config.yaml
run: pre-commit run --files opendevin/**/* agenthub/**/* evaluation/**/* tests/**/* --show-diff-on-failure --config ./dev_config/python/.pre-commit-config.yaml

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

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@@ -1,433 +0,0 @@
name: Auto-Fix Tagged Issue with OpenHands
on:
workflow_call:
inputs:
max_iterations:
required: false
type: number
default: 50
macro:
required: false
type: string
default: "@openhands-agent"
target_branch:
required: false
type: string
default: "main"
description: "Target branch to pull and create PR against"
pr_type:
required: false
type: string
default: "draft"
description: "The PR type that is going to be created (draft, ready)"
LLM_MODEL:
required: false
type: string
default: "anthropic/claude-sonnet-4-20250514"
LLM_API_VERSION:
required: false
type: string
default: ""
base_container_image:
required: false
type: string
default: ""
description: "Custom sandbox env"
runner:
required: false
type: string
default: "ubuntu-latest"
secrets:
LLM_MODEL:
required: false
LLM_API_KEY:
required: true
LLM_BASE_URL:
required: false
PAT_TOKEN:
required: false
PAT_USERNAME:
required: false
issues:
types: [labeled]
pull_request:
types: [labeled]
issue_comment:
types: [created]
pull_request_review_comment:
types: [created]
pull_request_review:
types: [submitted]
permissions:
contents: write
pull-requests: write
issues: write
jobs:
auto-fix:
if: |
github.event_name == 'workflow_call' ||
github.event.label.name == 'fix-me' ||
github.event.label.name == 'fix-me-experimental' ||
(
((github.event_name == 'issue_comment' || github.event_name == 'pull_request_review_comment') &&
contains(github.event.comment.body, inputs.macro || '@openhands-agent') &&
(github.event.comment.author_association == 'OWNER' || github.event.comment.author_association == 'COLLABORATOR' || github.event.comment.author_association == 'MEMBER')
) ||
(github.event_name == 'pull_request_review' &&
contains(github.event.review.body, inputs.macro || '@openhands-agent') &&
(github.event.review.author_association == 'OWNER' || github.event.review.author_association == 'COLLABORATOR' || github.event.review.author_association == 'MEMBER')
)
)
runs-on: "${{ inputs.runner || 'ubuntu-latest' }}"
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: "3.12"
- name: Upgrade pip
run: |
python -m pip install --upgrade pip
- name: Get latest versions and create requirements.txt
run: |
python -m pip index versions openhands-ai > openhands_versions.txt
OPENHANDS_VERSION=$(head -n 1 openhands_versions.txt | awk '{print $2}' | tr -d '()')
# Create a new requirements.txt locally within the workflow, ensuring no reference to the repo's file
echo "openhands-ai==${OPENHANDS_VERSION}" > /tmp/requirements.txt
cat /tmp/requirements.txt
- name: Cache pip dependencies
if: |
!(
github.event.label.name == 'fix-me-experimental' ||
(
(github.event_name == 'issue_comment' || github.event_name == 'pull_request_review_comment') &&
contains(github.event.comment.body, '@openhands-agent-exp')
) ||
(
github.event_name == 'pull_request_review' &&
contains(github.event.review.body, '@openhands-agent-exp')
)
)
uses: actions/cache@v5
with:
path: ${{ env.pythonLocation }}/lib/python3.12/site-packages/*
key: ${{ runner.os }}-pip-openhands-resolver-${{ hashFiles('/tmp/requirements.txt') }}
restore-keys: |
${{ runner.os }}-pip-openhands-resolver-${{ hashFiles('/tmp/requirements.txt') }}
- name: Check required environment variables
env:
LLM_MODEL: ${{ secrets.LLM_MODEL || inputs.LLM_MODEL }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
LLM_API_VERSION: ${{ inputs.LLM_API_VERSION }}
PAT_TOKEN: ${{ secrets.PAT_TOKEN }}
PAT_USERNAME: ${{ secrets.PAT_USERNAME }}
GITHUB_TOKEN: ${{ github.token }}
run: |
required_vars=("LLM_API_KEY")
for var in "${required_vars[@]}"; do
if [ -z "${!var}" ]; then
echo "Error: Required environment variable $var is not set."
exit 1
fi
done
# Check optional variables and warn about fallbacks
if [ -z "$LLM_BASE_URL" ]; then
echo "Warning: LLM_BASE_URL is not set, will use default API endpoint"
fi
if [ -z "$PAT_TOKEN" ]; then
echo "Warning: PAT_TOKEN is not set, falling back to GITHUB_TOKEN"
fi
if [ -z "$PAT_USERNAME" ]; then
echo "Warning: PAT_USERNAME is not set, will use openhands-agent"
fi
- name: Set environment variables
env:
REVIEW_BODY: ${{ github.event.review.body || '' }}
run: |
# Handle pull request events first
if [ -n "${{ github.event.pull_request.number }}" ]; then
echo "ISSUE_NUMBER=${{ github.event.pull_request.number }}" >> $GITHUB_ENV
echo "ISSUE_TYPE=pr" >> $GITHUB_ENV
# Handle pull request review events
elif [ -n "$REVIEW_BODY" ]; then
echo "ISSUE_NUMBER=${{ github.event.pull_request.number }}" >> $GITHUB_ENV
echo "ISSUE_TYPE=pr" >> $GITHUB_ENV
# Handle issue comment events that reference a PR
elif [ -n "${{ github.event.issue.pull_request }}" ]; then
echo "ISSUE_NUMBER=${{ github.event.issue.number }}" >> $GITHUB_ENV
echo "ISSUE_TYPE=pr" >> $GITHUB_ENV
# Handle regular issue events
else
echo "ISSUE_NUMBER=${{ github.event.issue.number }}" >> $GITHUB_ENV
echo "ISSUE_TYPE=issue" >> $GITHUB_ENV
fi
if [ -n "$REVIEW_BODY" ]; then
echo "COMMENT_ID=${{ github.event.review.id || 'None' }}" >> $GITHUB_ENV
else
echo "COMMENT_ID=${{ github.event.comment.id || 'None' }}" >> $GITHUB_ENV
fi
echo "MAX_ITERATIONS=${{ inputs.max_iterations || 50 }}" >> $GITHUB_ENV
echo "SANDBOX_ENV_GITHUB_TOKEN=${{ secrets.PAT_TOKEN || github.token }}" >> $GITHUB_ENV
echo "SANDBOX_BASE_CONTAINER_IMAGE=${{ inputs.base_container_image }}" >> $GITHUB_ENV
# Set branch variables
echo "TARGET_BRANCH=${{ inputs.target_branch || 'main' }}" >> $GITHUB_ENV
- name: Comment on issue with start message
uses: actions/github-script@v7
with:
github-token: ${{ secrets.PAT_TOKEN || github.token }}
script: |
const issueType = process.env.ISSUE_TYPE;
github.rest.issues.createComment({
issue_number: ${{ env.ISSUE_NUMBER }},
owner: context.repo.owner,
repo: context.repo.repo,
body: `[OpenHands](https://github.com/OpenHands/OpenHands) started fixing the ${issueType}! You can monitor the progress [here](https://github.com/${context.repo.owner}/${context.repo.repo}/actions/runs/${context.runId}).`
});
- name: Install OpenHands
id: install_openhands
uses: actions/github-script@v7
env:
COMMENT_BODY: ${{ github.event.comment.body || '' }}
REVIEW_BODY: ${{ github.event.review.body || '' }}
LABEL_NAME: ${{ github.event.label.name || '' }}
EVENT_NAME: ${{ github.event_name }}
with:
script: |
const commentBody = process.env.COMMENT_BODY.trim();
const reviewBody = process.env.REVIEW_BODY.trim();
const labelName = process.env.LABEL_NAME.trim();
const eventName = process.env.EVENT_NAME.trim();
// Check conditions
const isExperimentalLabel = labelName === "fix-me-experimental";
const isIssueCommentExperimental =
(eventName === "issue_comment" || eventName === "pull_request_review_comment") &&
commentBody.includes("@openhands-agent-exp");
const isReviewCommentExperimental =
eventName === "pull_request_review" && reviewBody.includes("@openhands-agent-exp");
// Set output variable
core.setOutput('isExperimental', isExperimentalLabel || isIssueCommentExperimental || isReviewCommentExperimental);
// Perform package installation
if (isExperimentalLabel || isIssueCommentExperimental || isReviewCommentExperimental) {
console.log("Installing experimental OpenHands...");
await exec.exec("pip install git+https://github.com/openhands/openhands.git");
} else {
console.log("Installing from requirements.txt...");
await exec.exec("pip install -r /tmp/requirements.txt");
}
- name: Attempt to resolve issue
env:
GITHUB_TOKEN: ${{ secrets.PAT_TOKEN || github.token }}
GITHUB_USERNAME: ${{ secrets.PAT_USERNAME || 'openhands-agent' }}
GIT_USERNAME: ${{ secrets.PAT_USERNAME || 'openhands-agent' }}
LLM_MODEL: ${{ secrets.LLM_MODEL || inputs.LLM_MODEL }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
LLM_API_VERSION: ${{ inputs.LLM_API_VERSION }}
PYTHONPATH: ""
run: |
cd /tmp && python -m openhands.resolver.resolve_issue \
--selected-repo ${{ github.repository }} \
--issue-number ${{ env.ISSUE_NUMBER }} \
--issue-type ${{ env.ISSUE_TYPE }} \
--max-iterations ${{ env.MAX_ITERATIONS }} \
--comment-id ${{ env.COMMENT_ID }} \
--is-experimental ${{ steps.install_openhands.outputs.isExperimental }}
- name: Check resolution result
id: check_result
run: |
if cd /tmp && grep -q '"success":true' output/output.jsonl; then
echo "RESOLUTION_SUCCESS=true" >> $GITHUB_OUTPUT
else
echo "RESOLUTION_SUCCESS=false" >> $GITHUB_OUTPUT
fi
- name: Upload output.jsonl as artifact
uses: actions/upload-artifact@v6
if: always() # Upload even if the previous steps fail
with:
name: resolver-output
path: /tmp/output/output.jsonl
retention-days: 30 # Keep the artifact for 30 days
- name: Create draft PR or push branch
if: always() # Create PR or branch even if the previous steps fail
env:
GITHUB_TOKEN: ${{ secrets.PAT_TOKEN || github.token }}
GITHUB_USERNAME: ${{ secrets.PAT_USERNAME || 'openhands-agent' }}
GIT_USERNAME: ${{ secrets.PAT_USERNAME || 'openhands-agent' }}
LLM_MODEL: ${{ secrets.LLM_MODEL || inputs.LLM_MODEL }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_BASE_URL: ${{ secrets.LLM_BASE_URL }}
LLM_API_VERSION: ${{ inputs.LLM_API_VERSION }}
PYTHONPATH: ""
run: |
if [ "${{ steps.check_result.outputs.RESOLUTION_SUCCESS }}" == "true" ]; then
cd /tmp && python -m openhands.resolver.send_pull_request \
--issue-number ${{ env.ISSUE_NUMBER }} \
--target-branch ${{ env.TARGET_BRANCH }} \
--pr-type ${{ inputs.pr_type || 'draft' }} \
--reviewer ${{ github.actor }} | tee pr_result.txt && \
grep "PR created" pr_result.txt | sed 's/.*\///g' > pr_number.txt
else
cd /tmp && python -m openhands.resolver.send_pull_request \
--issue-number ${{ env.ISSUE_NUMBER }} \
--pr-type branch \
--send-on-failure | tee branch_result.txt && \
grep "branch created" branch_result.txt | sed 's/.*\///g; s/.expand=1//g' > branch_name.txt
fi
# Step leaves comment for when agent is invoked on PR
- name: Analyze Push Logs (Updated PR or No Changes) # Skip comment if PR update was successful OR leave comment if the agent made no code changes
uses: actions/github-script@v7
if: always()
env:
AGENT_RESPONDED: ${{ env.AGENT_RESPONDED || 'false' }}
ISSUE_NUMBER: ${{ env.ISSUE_NUMBER }}
with:
github-token: ${{ secrets.PAT_TOKEN || github.token }}
script: |
const fs = require('fs');
const issueNumber = process.env.ISSUE_NUMBER;
let logContent = '';
try {
logContent = fs.readFileSync('/tmp/pr_result.txt', 'utf8').trim();
} catch (error) {
console.error('Error reading pr_result.txt file:', error);
}
const noChangesMessage = `No changes to commit for issue #${issueNumber}. Skipping commit.`;
// Check logs from send_pull_request.py (pushes code to GitHub)
if (logContent.includes("Updated pull request")) {
console.log("Updated pull request found. Skipping comment.");
process.env.AGENT_RESPONDED = 'true';
} else if (logContent.includes(noChangesMessage)) {
github.rest.issues.createComment({
issue_number: issueNumber,
owner: context.repo.owner,
repo: context.repo.repo,
body: `The workflow to fix this issue encountered an error. Openhands failed to create any code changes.`
});
process.env.AGENT_RESPONDED = 'true';
}
# Step leaves comment for when agent is invoked on issue
- name: Comment on issue # Comment link to either PR or branch created by agent
uses: actions/github-script@v7
if: always() # Comment on issue even if the previous steps fail
env:
AGENT_RESPONDED: ${{ env.AGENT_RESPONDED || 'false' }}
ISSUE_NUMBER: ${{ env.ISSUE_NUMBER }}
RESOLUTION_SUCCESS: ${{ steps.check_result.outputs.RESOLUTION_SUCCESS }}
with:
github-token: ${{ secrets.PAT_TOKEN || github.token }}
script: |
const fs = require('fs');
const path = require('path');
const issueNumber = process.env.ISSUE_NUMBER;
const success = process.env.RESOLUTION_SUCCESS === 'true';
let prNumber = '';
let branchName = '';
let resultExplanation = '';
try {
if (success) {
prNumber = fs.readFileSync('/tmp/pr_number.txt', 'utf8').trim();
} else {
branchName = fs.readFileSync('/tmp/branch_name.txt', 'utf8').trim();
}
} catch (error) {
console.error('Error reading file:', error);
}
try {
if (!success){
// Read result_explanation from JSON file for failed resolution
const outputFilePath = path.resolve('/tmp/output/output.jsonl');
if (fs.existsSync(outputFilePath)) {
const outputContent = fs.readFileSync(outputFilePath, 'utf8');
const jsonLines = outputContent.split('\n').filter(line => line.trim() !== '');
if (jsonLines.length > 0) {
// First entry in JSON lines has the key 'result_explanation'
const firstEntry = JSON.parse(jsonLines[0]);
resultExplanation = firstEntry.result_explanation || '';
}
}
}
} catch (error){
console.error('Error reading file:', error);
}
// Check "success" log from resolver output
if (success && prNumber) {
github.rest.issues.createComment({
issue_number: issueNumber,
owner: context.repo.owner,
repo: context.repo.repo,
body: `A potential fix has been generated and a draft PR #${prNumber} has been created. Please review the changes.`
});
process.env.AGENT_RESPONDED = 'true';
} else if (!success && branchName) {
let commentBody = `An attempt was made to automatically fix this issue, but it was unsuccessful. A branch named '${branchName}' has been created with the attempted changes. You can view the branch [here](https://github.com/${context.repo.owner}/${context.repo.repo}/tree/${branchName}). Manual intervention may be required.`;
if (resultExplanation) {
commentBody += `\n\nAdditional details about the failure:\n${resultExplanation}`;
}
github.rest.issues.createComment({
issue_number: issueNumber,
owner: context.repo.owner,
repo: context.repo.repo,
body: commentBody
});
process.env.AGENT_RESPONDED = 'true';
}
# Leave error comment when both PR/Issue comment handling fail
- name: Fallback Error Comment
uses: actions/github-script@v7
if: ${{ env.AGENT_RESPONDED == 'false' }} # Only run if no conditions were met in previous steps
env:
ISSUE_NUMBER: ${{ env.ISSUE_NUMBER }}
with:
github-token: ${{ secrets.PAT_TOKEN || github.token }}
script: |
const issueNumber = process.env.ISSUE_NUMBER;
github.rest.issues.createComment({
issue_number: issueNumber,
owner: context.repo.owner,
repo: context.repo.repo,
body: `The workflow to fix this issue encountered an error. Please check the [workflow logs](https://github.com/${context.repo.owner}/${context.repo.repo}/actions/runs/${context.runId}) for more information.`
});

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@@ -1,48 +0,0 @@
---
name: PR Review by OpenHands
on:
# TEMPORARY MITIGATION (Clinejection hardening)
#
# We temporarily avoid `pull_request_target` here. We'll restore it after the PR review
# workflow is fully hardened for untrusted execution.
pull_request:
types: [opened, ready_for_review, labeled, review_requested]
permissions:
contents: read
pull-requests: write
issues: write
jobs:
pr-review:
# Note: fork PRs will not have access to repository secrets under `pull_request`.
# Skip forks to avoid noisy failures until we restore a hardened `pull_request_target` flow.
if: |
github.event.pull_request.head.repo.full_name == github.repository &&
(
(github.event.action == 'opened' && github.event.pull_request.draft == false) ||
github.event.action == 'ready_for_review' ||
(github.event.action == 'labeled' && github.event.label.name == 'review-this') ||
(
github.event.action == 'review_requested' &&
(
github.event.requested_reviewer.login == 'openhands-agent' ||
github.event.requested_reviewer.login == 'all-hands-bot'
)
)
)
concurrency:
group: pr-review-${{ github.event.pull_request.number }}
cancel-in-progress: true
runs-on: ubuntu-24.04
steps:
- name: Run PR Review
uses: OpenHands/extensions/plugins/pr-review@main
with:
llm-model: litellm_proxy/claude-sonnet-4-5-20250929
llm-base-url: https://llm-proxy.app.all-hands.dev
review-style: roasted
llm-api-key: ${{ secrets.LLM_API_KEY }}
github-token: ${{ secrets.ALLHANDS_BOT_GITHUB_PAT }}
lmnr-api-key: ${{ secrets.LMNR_SKILLS_API_KEY }}

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@@ -1,85 +0,0 @@
---
name: PR Review Evaluation
# This workflow evaluates how well PR review comments were addressed.
# It runs when a PR is closed to assess review effectiveness.
#
# Security note: pull_request_target is safe here because:
# 1. Only triggers on PR close (not on code changes)
# 2. Does not checkout PR code - only downloads artifacts from trusted workflow runs
# 3. Runs evaluation scripts from the extensions repo, not from the PR
on:
pull_request_target:
types: [closed]
permissions:
contents: read
pull-requests: read
jobs:
evaluate:
runs-on: ubuntu-24.04
env:
PR_NUMBER: ${{ github.event.pull_request.number }}
REPO_NAME: ${{ github.repository }}
PR_MERGED: ${{ github.event.pull_request.merged }}
steps:
- name: Download review trace artifact
id: download-trace
uses: dawidd6/action-download-artifact@v6
continue-on-error: true
with:
workflow: pr-review-by-openhands.yml
name: pr-review-trace-${{ github.event.pull_request.number }}
path: trace-info
search_artifacts: true
if_no_artifact_found: warn
- name: Check if trace file exists
id: check-trace
run: |
if [ -f "trace-info/laminar_trace_info.json" ]; then
echo "trace_exists=true" >> $GITHUB_OUTPUT
echo "Found trace file for PR #$PR_NUMBER"
else
echo "trace_exists=false" >> $GITHUB_OUTPUT
echo "No trace file found for PR #$PR_NUMBER - skipping evaluation"
fi
# Always checkout main branch for security - cannot test script changes in PRs
- name: Checkout extensions repository
if: steps.check-trace.outputs.trace_exists == 'true'
uses: actions/checkout@v5
with:
repository: OpenHands/extensions
path: extensions
- name: Set up Python
if: steps.check-trace.outputs.trace_exists == 'true'
uses: actions/setup-python@v6
with:
python-version: '3.12'
- name: Install dependencies
if: steps.check-trace.outputs.trace_exists == 'true'
run: pip install lmnr
- name: Run evaluation
if: steps.check-trace.outputs.trace_exists == 'true'
env:
# Script expects LMNR_PROJECT_API_KEY; org secret is named LMNR_SKILLS_API_KEY
LMNR_PROJECT_API_KEY: ${{ secrets.LMNR_SKILLS_API_KEY }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
python extensions/plugins/pr-review/scripts/evaluate_review.py \
--trace-file trace-info/laminar_trace_info.json
- name: Upload evaluation logs
uses: actions/upload-artifact@v5
if: always() && steps.check-trace.outputs.trace_exists == 'true'
with:
name: pr-review-evaluation-${{ github.event.pull_request.number }}
path: '*.log'
retention-days: 30

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@@ -1,127 +0,0 @@
# Workflow that runs python tests
name: Run Python Tests
# The jobs in this workflow are required, so they must run at all times
# * Always run on "main"
# * Always run on PRs
on:
push:
branches:
- main
pull_request:
# If triggered by a PR, it will be in the same group. However, each commit on main will be in its own unique group
concurrency:
group: ${{ github.workflow }}-${{ (github.head_ref && github.ref) || github.run_id }}
cancel-in-progress: true
jobs:
# Run python tests on Linux
test-on-linux:
name: Python Tests on Linux
runs-on: blacksmith-4vcpu-ubuntu-2404
env:
INSTALL_DOCKER: "0" # Set to '0' to skip Docker installation
strategy:
matrix:
python-version: ["3.12"]
permissions:
# For coverage comment and python-coverage-comment-action branch
pull-requests: write
contents: write
steps:
- uses: actions/checkout@v4
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@v3
- name: Install tmux
run: sudo apt-get update && sudo apt-get install -y tmux
- name: Setup Node.js
uses: useblacksmith/setup-node@v5
with:
node-version: "22.x"
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: useblacksmith/setup-python@v6
with:
python-version: ${{ matrix.python-version }}
cache: "poetry"
- name: Install Python dependencies using Poetry
run: |
poetry install --with dev,test,runtime
poetry run pip install pytest-xdist
poetry run pip install pytest-rerunfailures
- name: Build Environment
run: make build
- name: Run Unit Tests
run: PYTHONPATH=".:$PYTHONPATH" poetry run pytest --forked -n auto -s ./tests/unit --cov=openhands --cov-branch
env:
COVERAGE_FILE: ".coverage.${{ matrix.python_version }}"
- name: Run Runtime Tests with CLIRuntime
run: PYTHONPATH=".:$PYTHONPATH" TEST_RUNTIME=cli poetry run pytest -n 5 --reruns 2 --reruns-delay 3 -s tests/runtime/test_bash.py --cov=openhands --cov-branch
env:
COVERAGE_FILE: ".coverage.runtime.${{ matrix.python_version }}"
- name: Store coverage file
uses: actions/upload-artifact@v6
with:
name: coverage-openhands
path: |
.coverage.${{ matrix.python_version }}
.coverage.runtime.${{ matrix.python_version }}
include-hidden-files: true
test-enterprise:
name: Enterprise Python Unit Tests
runs-on: blacksmith-4vcpu-ubuntu-2404
strategy:
matrix:
python-version: ["3.12"]
steps:
- uses: actions/checkout@v4
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: useblacksmith/setup-python@v6
with:
python-version: ${{ matrix.python-version }}
cache: "poetry"
- name: Install Python dependencies using Poetry
working-directory: ./enterprise
run: poetry install --with dev,test
- name: Run Unit Tests
# Use base working directory for coverage paths to line up.
run: PYTHONPATH=".:$PYTHONPATH" poetry run --project=enterprise pytest --forked -n auto -s -p no:ddtrace -p no:ddtrace.pytest_bdd -p no:ddtrace.pytest_benchmark ./enterprise/tests/unit --cov=enterprise --cov-branch
env:
COVERAGE_FILE: ".coverage.enterprise.${{ matrix.python_version }}"
- name: Store coverage file
uses: actions/upload-artifact@v6
with:
name: coverage-enterprise
path: ".coverage.enterprise.${{ matrix.python_version }}"
include-hidden-files: true
coverage-comment:
name: Coverage Comment
if: github.event_name == 'pull_request'
runs-on: ubuntu-latest
needs: [test-on-linux, test-enterprise]
permissions:
pull-requests: write
contents: write
steps:
- uses: actions/checkout@v4
- uses: actions/download-artifact@v6
id: download
with:
pattern: coverage-*
merge-multiple: true
- name: Coverage comment
id: coverage_comment
uses: py-cov-action/python-coverage-comment-action@v3
with:
GITHUB_TOKEN: ${{ github.token }}
MERGE_COVERAGE_FILES: true

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@@ -1,40 +0,0 @@
# Publishes the OpenHands PyPi package
name: Publish PyPi Package
on:
workflow_dispatch:
inputs:
reason:
description: "What are you publishing?"
required: true
type: choice
options:
- app server
default: app server
push:
tags:
- "*"
jobs:
release:
runs-on: blacksmith-4vcpu-ubuntu-2204
# Run when manually dispatched for "app server" OR for tag pushes that don't contain '-cli'
if: |
(github.event_name == 'workflow_dispatch' && github.event.inputs.reason == 'app server')
|| (github.event_name == 'push' && startsWith(github.ref, 'refs/tags/') && !contains(github.ref, '-cli'))
steps:
- uses: actions/checkout@v4
- uses: useblacksmith/setup-python@v6
with:
python-version: 3.12
- name: Install Poetry
uses: snok/install-poetry@v1.4.1
with:
virtualenvs-in-project: true
virtualenvs-path: ~/.virtualenvs
- name: Install Poetry Dependencies
run: poetry install --no-interaction --no-root
- name: Build poetry project
run: ./build.sh
- name: publish
run: poetry publish -u __token__ -p ${{ secrets.PYPI_TOKEN }}

81
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@@ -0,0 +1,81 @@
name: Use OpenDevin to Review Pull Request
on:
pull_request:
types: [synchronize, labeled]
permissions:
contents: write
pull-requests: write
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:
- name: install git, github cli
run: |
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. 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 "${{ github.event.pull_request.title }}" >> task.txt
echo "" >> task.txt
echo "Description" >> task.txt
echo "${{ 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
poetry run playwright install --with-deps chromium
- name: Run OpenDevin
env:
LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
SANDBOX_BOX_TYPE: ssh
run: |
# Append path to launch poetry
export PATH="/github/home/.local/bin:$PATH"
# Append path to correctly import package, note: must set pwd at first
export PYTHONPATH=$(pwd):$PYTHONPATH
WORKSPACE_MOUNT_PATH=$GITHUB_WORKSPACE poetry run python ./opendevin/core/main.py -i 50 -f task.txt -d $GITHUB_WORKSPACE
rm task.txt
- name: Check if review file is non-empty
id: check_file
run: |
ls -la
if [[ -s review-${{ github.event.pull_request.number }}.txt ]]; then
echo "non_empty=true" >> $GITHUB_OUTPUT
fi
shell: bash
- name: Create PR review if file is non-empty
env:
GH_TOKEN: ${{ github.token }}
if: steps.check_file.outputs.non_empty == 'true'
run: |
gh pr review ${{ github.event.pull_request.number }} --comment --body-file "review-${{ github.event.pull_request.number }}.txt"

138
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@@ -0,0 +1,138 @@
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:
env:
PERSIST_SANDBOX : "false"
jobs:
fe-test:
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 }}
test-on-macos:
name: Test on macOS
runs-on: macos-12
env:
INSTALL_DOCKER: "1" # 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: |
# 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 services start colima
brew install docker
colima delete
colima start --network-address --arch x86_64 --cpu=1 --memory=1
# 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 }}

122
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@@ -0,0 +1,122 @@
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 "${ISSUE_BODY}" >> task.txt
- name: Set up environment
run: |
curl -sSL https://install.python-poetry.org | python3 -
export PATH="/github/home/.local/bin:$PATH"
poetry install --without evaluation
poetry run playwright install --with-deps chromium
- name: Run OpenDevin
env:
ISSUE_TITLE: ${{ github.event.issue.title }}
ISSUE_BODY: ${{ github.event.issue.body }}
LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
SANDBOX_BOX_TYPE: ssh
run: |
# Append path to launch poetry
export PATH="/github/home/.local/bin:$PATH"
# Append path to correctly import package, note: must set pwd at first
export PYTHONPATH=$(pwd):$PYTHONPATH
WORKSPACE_MOUNT_PATH=$GITHUB_WORKSPACE poetry run 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

@@ -1,23 +1,29 @@
# Workflow that marks issues and PRs with no activity for 30 days with "Stale" and closes them after 7 more days of no activity
name: 'Close stale issues'
# Runs every day at 01:30
on:
schedule:
- cron: '30 1 * * *'
jobs:
stale:
runs-on: blacksmith-4vcpu-ubuntu-2204
if: github.repository == 'OpenHands/OpenHands'
runs-on: ubuntu-latest
steps:
- uses: actions/stale@v9
with:
stale-issue-message: 'This issue is stale because it has been open for 40 days with no activity. Remove the stale label or leave a comment, otherwise it will be closed in 10 days.'
stale-pr-message: 'This PR is stale because it has been open for 40 days with no activity. Remove the stale label or leave a comment, otherwise it will be closed in 10 days.'
days-before-stale: 40
exempt-issue-labels: roadmap,backlog,app-team
close-issue-message: 'This issue was automatically closed due to 50 days of inactivity. We do this to help keep the issues somewhat manageable and focus on active issues.'
close-pr-message: 'This PR was closed because it had no activity for 50 days. If you feel this was closed in error, and you would like to continue the PR, please resubmit or let us know.'
days-before-close: 10
operations-per-run: 300
# 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.'
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

View File

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

View File

@@ -0,0 +1,48 @@
name: Update pyproject.toml Version and Tags
on:
release:
types:
- published
jobs:
update-pyproject-and-tags:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0 # Fetch all history for all branches and tags
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install toml
- name: Get release tag
id: get_release_tag
run: echo "RELEASE_TAG=${GITHUB_REF#refs/tags/}" >> $GITHUB_ENV
- name: Update pyproject.toml with release tag
run: |
python -c "
import toml
with open('pyproject.toml', 'r') as f:
data = toml.load(f)
data['tool']['poetry']['version'] = '${{ env.RELEASE_TAG }}'
with open('pyproject.toml', 'w') as f:
toml.dump(data, f)
"
- name: Commit and push pyproject.toml changes
uses: stefanzweifel/git-auto-commit-action@v4
with:
commit_message: "Update pyproject.toml version to ${{ env.RELEASE_TAG }}"
branch: main
file_pattern: pyproject.toml

View File

@@ -1,51 +0,0 @@
name: Welcome Good First Issue
on:
issues:
types: [labeled]
permissions:
issues: write
jobs:
comment-on-good-first-issue:
if: github.event.label.name == 'good first issue'
runs-on: ubuntu-latest
steps:
- name: Check if welcome comment already exists
id: check_comment
uses: actions/github-script@v7
with:
result-encoding: string
script: |
const issueNumber = context.issue.number;
const comments = await github.rest.issues.listComments({
...context.repo,
issue_number: issueNumber
});
const alreadyCommented = comments.data.some(
(comment) =>
comment.body.includes('<!-- auto-comment:good-first-issue -->')
);
return alreadyCommented ? 'true' : 'false';
- name: Leave welcome comment
if: steps.check_comment.outputs.result == 'false'
uses: actions/github-script@v7
with:
script: |
const repoUrl = `https://github.com/${context.repo.owner}/${context.repo.repo}`;
await github.rest.issues.createComment({
...context.repo,
issue_number: context.issue.number,
body: "🙌 **Hey there, future contributor!** 🙌\n\n" +
"This issue has been labeled as **good first issue**, which means it's a great place to get started with the OpenHands project.\n\n" +
"If you're interested in working on it, feel free to! No need to ask for permission.\n\n" +
"Be sure to check out our [development setup guide](" + repoUrl + "/blob/main/Development.md) to get your environment set up, and follow our [contribution guidelines](" + repoUrl + "/blob/main/CONTRIBUTING.md) when you're ready to submit a fix.\n\n" +
"Feel free to join our developer community on [Slack](https://openhands.dev/joinslack). You can ask for [help](https://openhands-ai.slack.com/archives/C078L0FUGUX), [feedback](https://openhands-ai.slack.com/archives/C086ARSNMGA), and even ask for a [PR review](https://openhands-ai.slack.com/archives/C08D8FJ5771).\n\n" +
"🙌 Happy hacking! 🙌\n\n" +
"<!-- auto-comment:good-first-issue -->"
});

53
.gitignore vendored
View File

@@ -121,7 +121,6 @@ celerybeat.pid
# Environments
.env
frontend/.env
.venv
env/
venv/
@@ -161,32 +160,8 @@ cython_debug/
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
.idea/
# VS Code: Ignore all but certain files that specify repo-specific settings.
# https://stackoverflow.com/questions/32964920/should-i-commit-the-vscode-folder-to-source-control
.vscode/**/*
!.vscode/extensions.json
!.vscode/settings.json
!.vscode/tasks.json
# VS Code extensions/forks:
.vscode/
.cursorignore
.rooignore
.clineignore
.windsurfignore
.cursorrules
.roorules
.clinerules
.windsurfrules
.cursor/rules
.roo/rules
.cline/rules
.windsurf/rules
.repomix
repomix-output.txt
# Emacs backup
*~
# evaluation
evaluation/evaluation_outputs
@@ -194,19 +169,11 @@ evaluation/outputs
evaluation/swe_bench/eval_workspace*
evaluation/SWE-bench/data
evaluation/webarena/scripts/webarena_env.sh
evaluation/bird/data
evaluation/gaia/data
evaluation/gorilla/data
evaluation/toolqa/data
evaluation/scienceagentbench/benchmark
evaluation/commit0_bench/repos
# openhands resolver
output/
# frontend
# dependencies
frontend/node_modules
frontend/.pnp
frontend/bun.lockb
frontend/yarn.lock
@@ -243,22 +210,10 @@ cache
# configuration
config.toml
config.toml_
config.toml.bak
containers/agnostic_sandbox
# 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/
# test results
test-results
.sessions
.eval_sessions

1
.nvmrc
View File

@@ -1 +0,0 @@
22

View File

@@ -1,33 +0,0 @@
---
name: documentation
type: knowledge
version: 1.0.0
agent: CodeActAgent
triggers:
- documentation
- docs
- document
---
# Documentation Guidelines
All documentation must be grounded in fact, so you must not make anything up without proper evidence. When you have finished writing documentation, convey to the user what reference source, including web pages, source code, or other sources of documentation you referenced when writing each new fact in the documentation. If you cannot reference a source for anything do not include it in the pull request.
## Best Practices for Documentation
1. **Be Factual**: Only include information that can be verified from reliable sources.
2. **Cite Sources**: Always reference the source of information (code, web pages, official documentation).
3. **Be Clear and Concise**: Use simple language and avoid unnecessary jargon.
4. **Use Examples**: Include practical examples to illustrate concepts.
5. **Structure Properly**: Use headings, lists, and code blocks to organize information.
6. **Keep Updated**: Ensure documentation reflects the current state of the code or system.
## Documentation Process
1. Research and gather information from reliable sources
2. Draft documentation based on verified facts
3. Review for accuracy and completeness
4. Include references for all factual statements
5. Submit only when all information is properly sourced
Remember: If you cannot verify a piece of information, it's better to exclude it than to include potentially incorrect information.

View File

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

View File

@@ -1,124 +0,0 @@
#!/bin/bash
echo "Running OpenHands pre-commit hook..."
echo "This hook runs selective linting based on changed files."
# Store the exit code to return at the end
# This allows us to be additive to existing pre-commit hooks
EXIT_CODE=0
# Get the list of staged files
STAGED_FILES=$(git diff --cached --name-only)
# Check if any files match specific patterns
has_frontend_changes=false
has_backend_changes=false
# Check each file individually to avoid issues with grep
for file in $STAGED_FILES; do
if [[ $file == frontend/* ]]; then
has_frontend_changes=true
elif [[ $file == openhands/* || $file == evaluation/* || $file == tests/* ]]; then
has_backend_changes=true
fi
done
echo "Analyzing changes..."
echo "- Frontend changes: $has_frontend_changes"
echo "- Backend changes: $has_backend_changes"
# Run frontend linting if needed
if [ "$has_frontend_changes" = true ]; then
# Check if we're in a CI environment or if frontend dependencies are missing
if [ -n "$CI" ] || ! command -v react-router &> /dev/null || ! command -v vitest &> /dev/null; then
echo "Skipping frontend checks (CI environment or missing dependencies detected)."
echo "WARNING: Frontend files have changed but frontend checks are being skipped."
echo "Please run 'make lint-frontend' manually before submitting your PR."
else
echo "Running frontend linting..."
make lint-frontend
if [ $? -ne 0 ]; then
echo "Frontend linting failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "Frontend linting checks passed!"
fi
# Run additional frontend checks
if [ -d "frontend" ]; then
echo "Running additional frontend checks..."
cd frontend || exit 1
# Run build
echo "Running npm build..."
npm run build
if [ $? -ne 0 ]; then
echo "Frontend build failed. Please fix the issues before committing."
EXIT_CODE=1
fi
# Run tests
echo "Running npm test..."
npm test
if [ $? -ne 0 ]; then
echo "Frontend tests failed. Please fix the failing tests before committing."
EXIT_CODE=1
fi
cd ..
fi
fi
else
echo "Skipping frontend checks (no frontend changes detected)."
fi
# Run backend linting if needed
if [ "$has_backend_changes" = true ]; then
echo "Running backend linting..."
make lint-backend
if [ $? -ne 0 ]; then
echo "Backend linting failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "Backend linting checks passed!"
fi
else
echo "Skipping backend checks (no backend changes detected)."
fi
# If no specific code changes detected, run basic checks
if [ "$has_frontend_changes" = false ] && [ "$has_backend_changes" = false ]; then
echo "No specific code changes detected. Running basic checks..."
if [ -n "$STAGED_FILES" ]; then
# Run only basic pre-commit hooks for non-code files
poetry run pre-commit run --files $(echo "$STAGED_FILES" | tr '\n' ' ') --hook-stage commit --config ./dev_config/python/.pre-commit-config.yaml
if [ $? -ne 0 ]; then
echo "Basic checks failed. Please fix the issues before committing."
EXIT_CODE=1
else
echo "Basic checks passed!"
fi
else
echo "No files changed. Skipping basic checks."
fi
fi
# Run any existing pre-commit hooks that might have been installed by the user
# This makes our hook additive rather than replacing existing hooks
if [ -f ".git/hooks/pre-commit.local" ]; then
echo "Running existing pre-commit hooks..."
bash .git/hooks/pre-commit.local
if [ $? -ne 0 ]; then
echo "Existing pre-commit hooks failed."
EXIT_CODE=1
fi
fi
if [ $EXIT_CODE -eq 0 ]; then
echo "All pre-commit checks passed!"
else
echo "Some pre-commit checks failed. Please fix the issues before committing."
fi
exit $EXIT_CODE

View File

@@ -1,13 +0,0 @@
#! /bin/bash
echo "Setting up the environment..."
# Install pre-commit package
python -m pip install pre-commit
# Install pre-commit hooks if .git directory exists
if [ -d ".git" ]; then
echo "Installing pre-commit hooks..."
pre-commit install
make install-pre-commit-hooks
fi

22
.vscode/settings.json vendored
View File

@@ -1,22 +0,0 @@
{
// force *nix line endings so files don't look modified in container run from Windows clone
"files.eol": "\n",
"files.trimTrailingWhitespace": true,
"files.insertFinalNewline": true,
"python.defaultInterpreterPath": "./.venv/bin/python",
"python.terminal.activateEnvironment": true,
"python.analysis.autoImportCompletions": true,
"python.analysis.autoSearchPaths": true,
"python.analysis.extraPaths": [
"./.venv/lib/python3.12/site-packages"
],
"python.analysis.packageIndexDepths": [
{
"name": "openhands",
"depth": 10,
"includeAllSymbols": true
}
],
"python.analysis.stubPath": "./.venv/lib/python3.12/site-packages",
}

344
AGENTS.md
View File

@@ -1,344 +0,0 @@
This repository contains the code for OpenHands, an automated AI software engineer. It has a Python backend
(in the `openhands` directory) and React frontend (in the `frontend` directory).
## General Setup:
To set up the entire repo, including frontend and backend, run `make build`.
You don't need to do this unless the user asks you to, or if you're trying to run the entire application.
## Running OpenHands with OpenHands:
To run the full application to debug issues:
```bash
export INSTALL_DOCKER=0
export RUNTIME=local
make build && make run FRONTEND_PORT=12000 FRONTEND_HOST=0.0.0.0 BACKEND_HOST=0.0.0.0 &> /tmp/openhands-log.txt &
```
IMPORTANT: Before making any changes to the codebase, ALWAYS run `make install-pre-commit-hooks` to ensure pre-commit hooks are properly installed.
Before pushing any changes, you MUST ensure that any lint errors or simple test errors have been fixed.
* If you've made changes to the backend, you should run `pre-commit run --config ./dev_config/python/.pre-commit-config.yaml` (this will run on staged files).
* If you've made changes to the frontend, you should run `cd frontend && npm run lint:fix && npm run build ; cd ..`
* If you've made changes to the VSCode extension, you should run `cd openhands/integrations/vscode && npm run lint:fix && npm run compile ; cd ../../..`
The pre-commit hooks MUST pass successfully before pushing any changes to the repository. This is a mandatory requirement to maintain code quality and consistency.
If either command fails, it may have automatically fixed some issues. You should fix any issues that weren't automatically fixed,
then re-run the command to ensure it passes. Common issues include:
- Mypy type errors
- Ruff formatting issues
- Trailing whitespace
- Missing newlines at end of files
## Git Best Practices
- Prefer specific `git add <filename>` instead of `git add .` to avoid accidentally staging unintended files
- Be especially careful with `git reset --hard` after staging files, as it will remove accidentally staged files
- When remote has new changes, use `git fetch upstream && git rebase upstream/<branch>` on the same branch
## Repository Structure
Backend:
- Located in the `openhands` directory
- Testing:
- All tests are in `tests/unit/test_*.py`
- To test new code, run `poetry run pytest tests/unit/test_xxx.py` where `xxx` is the appropriate file for the current functionality
- Write all tests with pytest
Frontend:
- Located in the `frontend` directory
- Prerequisites: A recent version of NodeJS / NPM
- Setup: Run `npm install` in the frontend directory
- Testing:
- Run tests: `npm run test`
- To run specific tests: `npm run test -- -t "TestName"`
- Our test framework is vitest
- Building:
- Build for production: `npm run build`
- Environment Variables:
- Set in `frontend/.env` or as environment variables
- Available variables: VITE_BACKEND_HOST, VITE_USE_TLS, VITE_INSECURE_SKIP_VERIFY, VITE_FRONTEND_PORT
- Internationalization:
- Generate i18n declaration file: `npm run make-i18n`
- Data Fetching & Cache Management:
- We use TanStack Query (fka React Query) for data fetching and cache management
- Data Access Layer: API client methods are located in `frontend/src/api` and should never be called directly from UI components - they must always be wrapped with TanStack Query
- Custom hooks are located in `frontend/src/hooks/query/` and `frontend/src/hooks/mutation/`
- Query hooks should follow the pattern use[Resource] (e.g., `useConversationSkills`)
- Mutation hooks should follow the pattern use[Action] (e.g., `useDeleteConversation`)
- Architecture rule: UI components → TanStack Query hooks → Data Access Layer (`frontend/src/api`) → API endpoints
VSCode Extension:
- Located in the `openhands/integrations/vscode` directory
- Setup: Run `npm install` in the extension directory
- Linting:
- Run linting with fixes: `npm run lint:fix`
- Check only: `npm run lint`
- Type checking: `npm run typecheck`
- Building:
- Compile TypeScript: `npm run compile`
- Package extension: `npm run package-vsix`
- Testing:
- Run tests: `npm run test`
- Development Best Practices:
- Use `vscode.window.createOutputChannel()` for debug logging instead of `showErrorMessage()` popups
- Pre-commit process runs both frontend and backend checks when committing extension changes
## Enterprise Directory
The `enterprise/` directory contains additional functionality that extends the open-source OpenHands codebase. This includes:
- Authentication and user management (Keycloak integration)
- Database migrations (Alembic)
- Integration services (GitHub, GitLab, Jira, Linear, Slack)
- Billing and subscription management (Stripe)
- Telemetry and analytics (PostHog, custom metrics framework)
### Enterprise Development Setup
**Prerequisites:**
- Python 3.12
- Poetry (for dependency management)
- Node.js 22.x (for frontend)
- Docker (optional)
**Setup Steps:**
1. First, build the main OpenHands project: `make build`
2. Then install enterprise dependencies: `cd enterprise && poetry install --with dev,test` (This can take a very long time. Be patient.)
3. Set up enterprise pre-commit hooks: `poetry run pre-commit install --config ./dev_config/python/.pre-commit-config.yaml`
**Running Enterprise Tests:**
```bash
# Enterprise unit tests (full suite)
PYTHONPATH=".:$PYTHONPATH" poetry run --project=enterprise pytest --forked -n auto -s -p no:ddtrace -p no:ddtrace.pytest_bdd -p no:ddtrace.pytest_benchmark ./enterprise/tests/unit --cov=enterprise --cov-branch
# Test specific modules (faster for development)
cd enterprise
PYTHONPATH=".:$PYTHONPATH" poetry run pytest tests/unit/telemetry/ --confcutdir=tests/unit/telemetry
# Enterprise linting (IMPORTANT: use --show-diff-on-failure to match GitHub CI)
poetry run pre-commit run --all-files --show-diff-on-failure --config ./dev_config/python/.pre-commit-config.yaml
```
**Running Enterprise Server:**
```bash
cd enterprise
make start-backend # Development mode with hot reload
# or
make run # Full application (backend + frontend)
```
**Key Configuration Files:**
- `enterprise/pyproject.toml` - Enterprise-specific dependencies
- `enterprise/Makefile` - Enterprise build and run commands
- `enterprise/dev_config/python/` - Linting and type checking configuration
- `enterprise/migrations/` - Database migration files
**Database Migrations:**
Enterprise uses Alembic for database migrations. When making schema changes:
1. Create migration files in `enterprise/migrations/versions/`
2. Test migrations thoroughly
3. The CI will check for migration conflicts on PRs
**Integration Development:**
The enterprise codebase includes integrations for:
- **GitHub** - PR management, webhooks, app installations
- **GitLab** - Similar to GitHub but for GitLab instances
- **Jira** - Issue tracking and project management
- **Linear** - Modern issue tracking
- **Slack** - Team communication and notifications
Each integration follows a consistent pattern with service classes, storage models, and API endpoints.
**Important Notes:**
- Enterprise code is licensed under Polyform Free Trial License (30-day limit)
- The enterprise server extends the OpenHands server through dynamic imports
- Database changes require careful migration planning in `enterprise/migrations/`
- Always test changes in both OpenHands and enterprise contexts
- Use the enterprise-specific Makefile commands for development
**Enterprise Testing Best Practices:**
**Database Testing:**
- Use SQLite in-memory databases (`sqlite:///:memory:`) for unit tests instead of real PostgreSQL
- Create module-specific `conftest.py` files with database fixtures
- Mock external database connections in unit tests to avoid dependency on running services
- Use real database connections only for integration tests
**Import Patterns:**
- Use relative imports without `enterprise.` prefix in enterprise code
- Example: `from storage.database import a_session_maker` not `from enterprise.storage.database import a_session_maker`
- This ensures code works in both OpenHands and enterprise contexts
**Test Structure:**
- Place tests in `enterprise/tests/unit/` following the same structure as the source code
- Use `--confcutdir=tests/unit/[module]` when testing specific modules
- Create comprehensive fixtures for complex objects (databases, external services)
- Write platform-agnostic tests (avoid hardcoded OS-specific assertions)
**Mocking Strategy:**
- Use `AsyncMock` for async operations and `MagicMock` for complex objects
- Mock all external dependencies (databases, APIs, file systems) in unit tests
- Use `patch` with correct import paths (e.g., `telemetry.registry.logger` not `enterprise.telemetry.registry.logger`)
- Test both success and failure scenarios with proper error handling
**Coverage Goals:**
- Aim for 90%+ test coverage on new enterprise modules
- Focus on critical business logic and error handling paths
- Use `--cov-report=term-missing` to identify uncovered lines
**Troubleshooting:**
- If tests fail, ensure all dependencies are installed: `poetry install --with dev,test`
- For database issues, check migration status and run migrations if needed
- For frontend issues, ensure the main OpenHands frontend is built: `make build`
- Check logs in the `logs/` directory for runtime issues
- If tests fail with import errors, verify `PYTHONPATH=".:$PYTHONPATH"` is set
- **If GitHub CI fails but local linting passes**: Always use `--show-diff-on-failure` flag to match CI behavior exactly
## Template for Github Pull Request
If you are starting a pull request (PR), please follow the template in `.github/pull_request_template.md`.
## Implementation Details
These details may or may not be useful for your current task.
### Microagents
Microagents are specialized prompts that enhance OpenHands with domain-specific knowledge and task-specific workflows. They are Markdown files that can include frontmatter for configuration.
#### Types:
- **Public Microagents**: Located in `microagents/`, available to all users
- **Repository Microagents**: Located in `.openhands/microagents/`, specific to this repository
#### Loading Behavior:
- **Without frontmatter**: Always loaded into LLM context
- **With triggers in frontmatter**: Only loaded when user's message matches the specified trigger keywords
#### Structure:
```yaml
---
triggers:
- keyword1
- keyword2
---
# Microagent Content
Your specialized knowledge and instructions here...
```
### Frontend
#### Action Handling:
- Actions are defined in `frontend/src/types/action-type.ts`
- The `HANDLED_ACTIONS` array in `frontend/src/state/chat-slice.ts` determines which actions are displayed as collapsible UI elements
- To add a new action type to the UI:
1. Add the action type to the `HANDLED_ACTIONS` array
2. Implement the action handling in `addAssistantAction` function in chat-slice.ts
3. Add a translation key in the format `ACTION_MESSAGE$ACTION_NAME` to the i18n files
- Actions with `thought` property are displayed in the UI based on their action type:
- Regular actions (like "run", "edit") display the thought as a separate message
- Special actions (like "think") are displayed as collapsible elements only
#### Adding User Settings:
- To add a new user setting to OpenHands, follow these steps:
1. Add the setting to the frontend:
- Add the setting to the `Settings` type in `frontend/src/types/settings.ts`
- Add the setting to the `ApiSettings` type in the same file
- Add the setting with an appropriate default value to `DEFAULT_SETTINGS` in `frontend/src/services/settings.ts`
- Update the `useSettings` hook in `frontend/src/hooks/query/use-settings.ts` to map the API response
- Update the `useSaveSettings` hook in `frontend/src/hooks/mutation/use-save-settings.ts` to include the setting in API requests
- Add UI components (like toggle switches) in the appropriate settings screen (e.g., `frontend/src/routes/app-settings.tsx`)
- Add i18n translations for the setting name and any tooltips in `frontend/src/i18n/translation.json`
- Add the translation key to `frontend/src/i18n/declaration.ts`
2. Add the setting to the backend:
- Add the setting to the `Settings` model in `openhands/storage/data_models/settings.py`
- Update any relevant backend code to apply the setting (e.g., in session creation)
#### Settings UI Patterns:
There are two main patterns for saving settings in the OpenHands frontend:
**Pattern 1: Entity-based Resources (Immediate Save)**
- Used for: API Keys, Secrets, MCP Servers
- Behavior: Changes are saved immediately when user performs actions (add/edit/delete)
- Implementation:
- No "Save Changes" button
- No local state management or `isDirty` tracking
- Uses dedicated mutation hooks for each operation (e.g., `use-add-mcp-server.ts`, `use-delete-mcp-server.ts`)
- Each mutation triggers immediate API call with query invalidation for UI updates
- Example: MCP settings, API Keys & Secrets tabs
- Benefits: Simpler UX, no risk of losing changes, consistent with modern web app patterns
**Pattern 2: Form-based Settings (Manual Save)**
- Used for: Application settings, LLM configuration
- Behavior: Changes are accumulated locally and saved when user clicks "Save Changes"
- Implementation:
- Has "Save Changes" button that becomes enabled when changes are detected
- Uses local state management with `isDirty` tracking
- Uses `useSaveSettings` hook to save all changes at once
- Example: LLM tab, Application tab
- Benefits: Allows bulk changes, explicit save action, can validate all fields before saving
**When to use each pattern:**
- Use Pattern 1 (Immediate Save) for entity management where each item is independent
- Use Pattern 2 (Manual Save) for configuration forms where settings are interdependent or need validation
### Adding New LLM Models
To add a new LLM model to OpenHands, you need to update multiple files across both frontend and backend:
#### Model Configuration Procedure:
1. **Frontend Model Arrays** (`frontend/src/utils/verified-models.ts`):
- Add the model to `VERIFIED_MODELS` array (main list of all verified models)
- Add to provider-specific arrays based on the model's provider:
- `VERIFIED_OPENAI_MODELS` for OpenAI models
- `VERIFIED_ANTHROPIC_MODELS` for Anthropic models
- `VERIFIED_MISTRAL_MODELS` for Mistral models
- `VERIFIED_OPENHANDS_MODELS` for models available through OpenHands provider
2. **Backend CLI Integration** (`openhands/cli/utils.py`):
- Add the model to the appropriate `VERIFIED_*_MODELS` arrays
- This ensures the model appears in CLI model selection
3. **Backend Model List** (`openhands/utils/llm.py`):
- **CRITICAL**: Add the model to the `openhands_models` list (lines 57-66) if using OpenHands provider
- This is required for the model to appear in the frontend model selector
- Format: `'openhands/model-name'` (e.g., `'openhands/o3'`)
4. **Backend LLM Configuration** (`openhands/llm/llm.py`):
- Add to feature-specific arrays based on model capabilities:
- `FUNCTION_CALLING_SUPPORTED_MODELS` if the model supports function calling
- `REASONING_EFFORT_SUPPORTED_MODELS` if the model supports reasoning effort parameters
- `CACHE_PROMPT_SUPPORTED_MODELS` if the model supports prompt caching
- `MODELS_WITHOUT_STOP_WORDS` if the model doesn't support stop words
5. **Validation**:
- Run backend linting: `pre-commit run --config ./dev_config/python/.pre-commit-config.yaml`
- Run frontend linting: `cd frontend && npm run lint:fix`
- Run frontend build: `cd frontend && npm run build`
#### Model Verification Arrays:
- **VERIFIED_MODELS**: Main array of all verified models shown in the UI
- **VERIFIED_OPENAI_MODELS**: OpenAI models (LiteLLM doesn't return provider prefix)
- **VERIFIED_ANTHROPIC_MODELS**: Anthropic models (LiteLLM doesn't return provider prefix)
- **VERIFIED_MISTRAL_MODELS**: Mistral models (LiteLLM doesn't return provider prefix)
- **VERIFIED_OPENHANDS_MODELS**: Models available through OpenHands managed provider
#### Model Feature Support Arrays:
- **FUNCTION_CALLING_SUPPORTED_MODELS**: Models that support structured function calling
- **REASONING_EFFORT_SUPPORTED_MODELS**: Models that support reasoning effort parameters (like o1, o3)
- **CACHE_PROMPT_SUPPORTED_MODELS**: Models that support prompt caching for efficiency
- **MODELS_WITHOUT_STOP_WORDS**: Models that don't support stop word parameters
#### Frontend Model Integration:
- Models are automatically available in the model selector UI once added to verified arrays
- The `extractModelAndProvider` utility automatically detects provider from model arrays
- Provider-specific models are grouped and prioritized in the UI selection
#### CLI Model Integration:
- Models appear in CLI provider selection based on the verified arrays
- The `organize_models_and_providers` function groups models by provider
- Default model selection prioritizes verified models for each provider

View File

@@ -1,55 +0,0 @@
cff-version: 1.2.0
message: "If you use this software, please cite it using the following metadata."
title: "OpenHands: An Open Platform for AI Software Developers as Generalist Agents"
authors:
- family-names: Wang
given-names: Xingyao
- family-names: Li
given-names: Boxuan
- family-names: Song
given-names: Yufan
- family-names: Xu
given-names: Frank F.
- family-names: Tang
given-names: Xiangru
- family-names: Zhuge
given-names: Mingchen
- family-names: Pan
given-names: Jiayi
- family-names: Song
given-names: Yueqi
- family-names: Li
given-names: Bowen
- family-names: Singh
given-names: Jaskirat
- family-names: Tran
given-names: Hoang H.
- family-names: Li
given-names: Fuqiang
- family-names: Ma
given-names: Ren
- family-names: Zheng
given-names: Mingzhang
- family-names: Qian
given-names: Bill
- family-names: Shao
given-names: Yanjun
- family-names: Muennighoff
given-names: Niklas
- family-names: Zhang
given-names: Yizhe
- family-names: Hui
given-names: Binyuan
- family-names: Lin
given-names: Junyang
- family-names: Brennan
given-names: Robert
- family-names: Peng
given-names: Hao
- family-names: Ji
given-names: Heng
- family-names: Neubig
given-names: Graham
year: 2024
doi: "10.48550/arXiv.2407.16741"
url: "https://arxiv.org/abs/2407.16741"

1
CNAME
View File

@@ -1 +0,0 @@
docs.all-hands.dev

View File

@@ -18,24 +18,24 @@ diverse, inclusive, and healthy community.
Examples of behavior that contributes to a positive environment for our
community include:
* Demonstrating empathy and kindness toward other people.
* Being respectful of differing opinions, viewpoints, and experiences.
* Giving and gracefully accepting constructive feedback.
* Demonstrating empathy and kindness toward other people
* Being respectful of differing opinions, viewpoints, and experiences
* Giving and gracefully accepting constructive feedback
* Accepting responsibility and apologizing to those affected by our mistakes,
and learning from the experience.
and learning from the experience
* Focusing on what is best not just for us as individuals, but for the overall
community.
community
Examples of unacceptable behavior include:
* The use of sexualized language or imagery, and sexual attention or advances of
any kind.
* Trolling, insulting or derogatory comments, and personal or political attacks.
* Public or private harassment.
any kind
* Trolling, insulting or derogatory comments, and personal or political attacks
* Public or private harassment
* Publishing others' private information, such as a physical or email address,
without their explicit permission.
without their explicit permission
* Other conduct which could reasonably be considered inappropriate in a
professional setting.
professional setting
## Enforcement Responsibilities
@@ -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@openhands.dev.
contact@all-hands.dev
All complaints will be reviewed and investigated promptly and fairly.
All community leaders are obligated to respect the privacy and security of the
@@ -113,25 +113,6 @@ individual, or aggression toward or disparagement of classes of individuals.
**Consequence**: A permanent ban from any sort of public interaction within the
community.
### Slack Etiquettes
These Slack etiquette guidelines are designed to foster an inclusive, respectful, and productive environment for all
community members. By following these best practices, we ensure effective communication and collaboration while
minimizing disruptions. Lets work together to build a supportive and welcoming community!
- Communicate respectfully and professionally, avoiding sarcasm or harsh language, and remember that tone can be difficult to interpret in text.
- Use threads for specific discussions to keep channels organized and easier to follow.
- Tag others only when their input is critical or urgent, and use @here, @channel or @everyone sparingly to minimize disruptions.
- Be patient, as open-source contributors and maintainers often have other commitments and may need time to respond.
- Post questions or discussions in the most relevant channel (e.g., for [slack - #general](https://openhands-ai.slack.com/archives/C06P5NCGSFP) for general topics, [slack - #questions](https://openhands-ai.slack.com/archives/C06U8UTKSAD) for queries/questions.
- When asking for help or raising issues, include necessary details like links, screenshots, or clear explanations to provide context.
- Keep discussions in public channels whenever possible to allow others to benefit from the conversation, unless the matter is sensitive or private.
- Always adhere to [our standards](https://github.com/OpenHands/OpenHands/blob/main/CODE_OF_CONDUCT.md#our-standards) to ensure a welcoming and collaborative environment.
- If you choose to mute a channel, consider setting up alerts for topics that still interest you to stay engaged.
For Slack, Go to Settings → Notifications → My Keywords to add specific keywords that will notify you when mentioned.
For example, if you're here for discussions about LLMs, mute the channel if its too busy, but set notifications to
alert you only when “LLMs” appears in messages.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant][homepage],

View File

@@ -1,58 +0,0 @@
# The OpenHands Community
OpenHands is a community of engineers, academics, and enthusiasts reimagining software development for an AI-powered
world.
## Mission
Its very clear that AI is changing software development. We want the developer community to drive that change
organically, through open source.
So were not just building friendly interfaces for AI-driven development. Were publishing _building blocks_ that
empower developers to create new experiences, tailored to your own habits, needs, and imagination.
## Ethos
We have two core values: **high openness** and **high agency**. While we dont expect everyone in the community to
embody these values, we want to establish them as norms.
### High Openness
We welcome anyone and everyone into our community by default. You dont have to be a software developer to help us
build. You dont have to be pro-AI to help us learn.
Our plans, our work, our successes, and our failures are all public record. We want the world to see not just the
fruits of our work, but the whole process of growing it.
We welcome thoughtful criticism, whether its a comment on a PR or feedback on the community as a whole.
### High Agency
Everyone should feel empowered to contribute to OpenHands. Whether its by making a PR, hosting an event, sharing
feedback, or just asking a question, dont hold back!
OpenHands gives everyone the building blocks to create state-of-the-art developer experiences. We experiment constantly
and love building new things.
Coding, development practices, and communities are changing rapidly. We wont hesitate to change direction and make big bets.
## Relationship to All Hands
OpenHands is supported by the for-profit organization [All Hands AI, Inc](https://www.openhands.dev/).
All Hands was founded by three of the first major contributors to OpenHands:
- Xingyao Wang, a UIUC PhD candidate who got OpenHands to the top of the SWE-bench leaderboards
- Graham Neubig, a CMU Professor who rallied the academic community around OpenHands
- Robert Brennan, a software engineer who architected the user-facing features of OpenHands
All Hands is an important part of the OpenHands ecosystem. Weve raised over $20M--mainly to hire developers and
researchers who can work on OpenHands full-time, and to provide them with expensive infrastructure. ([Join us!](https://allhandsai.applytojob.com/apply/))
But we see OpenHands as much larger, and ultimately more important, than All Hands. When our financial responsibility
to investors is at odds with our social responsibility to the community—as it inevitably will be, from time to time—we
promise to navigate that conflict thoughtfully and transparently.
At some point, we may transfer custody of OpenHands to an open source foundation. But for now,
the [Benevolent Dictator approach](http://www.catb.org/~esr/writings/cathedral-bazaar/homesteading/ar01s16.html) helps us move forward with speed and intention. If we ever forget the
“benevolent” part, please: fork us.

View File

@@ -1,83 +1,97 @@
# Contributing
Thanks for your interest in contributing to OpenHands! We welcome and appreciate contributions.
## Understanding OpenHands's CodeBase
To understand the codebase, please refer to the README in each module:
- [frontend](./frontend/README.md)
- [openhands](./openhands/README.md)
- [agenthub](./openhands/agenthub/README.md)
- [server](./openhands/server/README.md)
For benchmarks and evaluation, see the [OpenHands/benchmarks](https://github.com/OpenHands/benchmarks) repository.
## Setting up Your Development Environment
We have a separate doc [Development.md](https://github.com/OpenHands/OpenHands/blob/main/Development.md) that tells
you how to set up a development workflow.
Thanks for your interest in contributing to OpenDevin! We welcome and appreciate contributions.
## How Can I Contribute?
There are many ways that you can contribute:
1. **Download and use** OpenHands, and send [issues](https://github.com/OpenHands/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.openhands.dev/usage/feedback), so we can see where things are working and failing, and also build an open dataset for training code agents.
3. **Improve the Codebase** by sending [PRs](#sending-pull-requests-to-openhands) (see details below). In particular, we have some [good first issues](https://github.com/OpenHands/OpenHands/labels/good%20first%20issue) that may be ones to start on.
1. **Download and use** OpenDevin, and send [issues](https://github.com/OpenDevin/OpenDevin/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://opendevin.github.io/OpenDevin/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 issue](https://github.com/OpenDevin/OpenDevin/labels/good%20first%20issue) issues that may be ones to start on.
## What Can I Build?
## Understanding OpenDevin's CodeBase
Here are a few ways you can help improve the codebase.
To understand the codebase, 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)
#### UI/UX
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.
We're always looking to improve the look and feel of the application. If you've got a small fix
for something that's bugging you, feel free to open up a PR that changes the [`./frontend`](./frontend) directory.
## Sending Pull Requests to OpenDevin
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 #dev-ui-ux channel in our Slack
to gather consensus from our design team first.
### 1. Fork the Official Repository
Fork the [OpenDevin repository](https://github.com/OpenDevin/OpenDevin) into your own account.
Clone your own forked repository into your local environment:
#### Improving the agent
```shell
git clone git@github.com:<YOUR-USERNAME>/OpenDevin.git
```
Our main agent is the CodeAct agent. You can [see its prompts here](https://github.com/OpenHands/OpenHands/tree/main/openhands/agenthub/codeact_agent).
### 2. Configure Git
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.
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:
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.
```shell
cd OpenDevin
git remote add upstream git@github.com:OpenDevin/OpenDevin.git
```
#### Adding a new agent
Verify that the remote is set:
You may want to experiment with building new types of agents. You can add an agent to [`openhands/agenthub`](./openhands/agenthub)
to help expand the capabilities of OpenHands.
```shell
git remote -v
```
#### Adding a new runtime
You should see both `origin` and `upstream` in the output.
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.
### 3. Synchronize with Official Repository
Synchronize latest commit with official repository before coding:
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/OpenHands/OpenHands/blob/main/openhands/runtime/base.py).
```shell
git fetch upstream
git checkout main
git merge upstream/main
git push origin main
```
#### Testing
### 4. Set up the Development Environment
When you write code, it is also good to write tests. Please navigate to the [`./tests`](./tests) folder to see existing
test suites. At the moment, we have these kinds of tests: [`unit`](./tests/unit), [`runtime`](./tests/runtime), and [`end-to-end (e2e)`](./tests/e2e).
Please refer to the README for each test suite. These tests also run on GitHub's continuous integration to ensure
quality of the project.
We have a separate doc [Development.md](https://github.com/OpenDevin/OpenDevin/blob/main/Development.md) that tells you how to set up a development workflow.
## Sending Pull Requests to OpenHands
### 5. Write Code and Commit It
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).
Once you have done this, you can write code, test it, and commit it to a branch (replace `my_branch` with an appropriate name):
### Pull Request title
```shell
git checkout -b my_branch
git add .
git commit
git push origin my_branch
```
As described [here](https://github.com/commitizen/conventional-commit-types/blob/master/index.json), ideally a valid PR title should begin with one of the following prefixes:
### 6. Open a Pull Request
* On GitHub, go to the page of your forked repository, and create a Pull Request:
- Click on `Branches`
- Click on the `...` beside your branch and click on `New pull request`
- Set `base repository` to `OpenDevin/OpenDevin`
- Set `base` to `main`
- Click `Create pull request`
The PR should appear in [OpenDevin PRs](https://github.com/OpenDevin/OpenDevin/pulls).
Then the OpenDevin team will review your code.
## PR Rules
### 1. Pull Request title
As described [here](https://github.com/commitizen/conventional-commit-types/blob/master/index.json), a valid PR title should begin with one of the following prefixes:
- `feat`: A new feature
- `fix`: A bug fix
@@ -95,45 +109,9 @@ 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/OpenHands/OpenHands/pulls).
### Pull Request description
You may also check out previous PRs in the [PR list](https://github.com/OpenDevin/OpenDevin/pulls).
### 2. Pull Request description
- If your PR is small (such as a typo fix), you can go brief.
- If it contains a lot of changes, it's better to write more details.
If your changes are user-facing (e.g. a new feature in the UI, a change in behavior, or a bugfix)
please include a short message that we can add to our changelog.
## How to Make Effective Contributions
### Opening Issues
If you notice any bugs or have any feature requests please open them via the [issues page](https://github.com/OpenHands/OpenHands/issues). We will triage
based on how critical the bug is or how potentially useful the improvement is, discuss, and implement the ones that
the community has interest/effort for.
Further, if you see an issue you like, please leave a "thumbs-up" or a comment, which will help us prioritize.
### Making Pull Requests
We're generally happy to consider all pull requests with the evaluation process varying based on the type of change:
#### For Small Improvements
Small improvements with few downsides are typically reviewed and approved quickly.
One thing to check when making changes is to ensure that all continuous integration tests pass, which you can check
before getting a review.
#### For Core Agent Changes
We need to be more careful with changes to the core agent, as it is imperative to maintain high quality. These PRs are
evaluated based on three key metrics:
1. **Accuracy**
2. **Efficiency**
3. **Code Complexity**
If it improves accuracy, efficiency, or both with only a minimal change to code quality, that's great we're happy to merge it in!
If there are bigger tradeoffs (e.g. helping efficiency a lot and hurting accuracy a little) we might want to put it behind a feature flag.
Either way, please feel free to discuss on github issues or slack, and we will give guidance and preliminary feedback.

View File

@@ -1,328 +0,0 @@
# Credits
## Contributors
We would like to thank all the [contributors](https://github.com/OpenHands/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/OpenHands/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
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View File

@@ -1,206 +1,98 @@
# Development Guide
This guide is for people working on OpenDevin and editing the source code.
If you wish to contribute your changes, check out the [CONTRIBUTING.md](https://github.com/OpenDevin/OpenDevin/blob/main/CONTRIBUTING.md) on how to clone and setup the project initially before moving on.
Otherwise, you can clone the OpenDevin project directly.
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/OpenHands/OpenHands/blob/main/CONTRIBUTING.md)
on how to clone and setup the project initially before moving on. Otherwise,
you can clone the OpenHands project directly.
## Start the Server for Development
## Start the server for development
### 1. Requirements
- Linux, Mac OS, or [WSL on Windows](https://learn.microsoft.com/en-us/windows/wsl/install) [Ubuntu >= 22.04]
- [Docker](https://docs.docker.com/engine/install/) (For those on MacOS, make sure to allow the default Docker socket to be used from advanced settings!)
- [Python](https://www.python.org/downloads/) = 3.12
- [NodeJS](https://nodejs.org/en/download/package-manager) >= 22.x
- [Poetry](https://python-poetry.org/docs/#installing-with-the-official-installer) >= 1.8
- OS-specific dependencies:
- Ubuntu: build-essential => `sudo apt-get install build-essential python3.12-dev`
- WSL: netcat => `sudo apt-get install netcat`
* 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/) = 3.11
* [NodeJS](https://nodejs.org/en/download/package-manager) >= 18.17.1
* [Poetry](https://python-poetry.org/docs/#installing-with-the-official-installer) >= 1.8
* netcat => sudo apt-get install netcat
Make sure you have all these dependencies installed before moving on to `make build`.
#### Dev container
There is a [dev container](https://containers.dev/) available which provides a
pre-configured environment with all the necessary dependencies installed if you
are using a [supported editor or tool](https://containers.dev/supporting). For
example, if you are using Visual Studio Code (VS Code) with the
[Dev Containers](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers)
extension installed, you can open the project in a dev container by using the
_Dev Container: Reopen in Container_ command from the Command Palette
(Ctrl+Shift+P).
#### Develop without sudo access
If you want to develop without system admin/sudo access to upgrade/install `Python` and/or `NodeJS`, you can use
`conda` or `mamba` to manage the packages for you:
If you want to develop without system admin/sudo access to upgrade/install `Python` and/or `NodeJs`, you can use `conda` or `mamba` to manage the packages for you:
```bash
# Download and install Mamba (a faster version of conda)
curl -L -O "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh"
bash Miniforge3-$(uname)-$(uname -m).sh
# Install Python 3.12, nodejs, and poetry
mamba install python=3.12
# 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:
Begin by building the project which includes setting up the environment and installing dependencies. This step ensures that OpenDevin is ready to run on your system:
```bash
make build
```
### 3. Configuring the Language Model
OpenHands supports a diverse array of Language Models (LMs) through the powerful [litellm](https://docs.litellm.ai) library.
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, run:
```bash
make setup-config
```
This command will prompt you to enter the LLM API key, model name, and other variables ensuring that OpenHands is
tailored to your specific needs. Note that the model name will apply only when you run headless. If you use the UI,
please set the model in the UI.
Note: If you have previously run OpenHands using the docker command, you may have already set some environment
variables in your terminal. The final configurations are set from highest to lowest priority:
Environment variables > config.toml variables > default variables
```bash
make setup-config
```
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: If you have previously run OpenDevin 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
**Note on Alternative Models:**
See [our documentation](https://docs.openhands.dev/usage/llms) for recommended 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/OpenDevin/OpenDevin/tree/main/docs/modules/usage/llms).
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, this command starts both the backend and frontend servers, allowing you to interact with OpenHands:
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:
```bash
make run
```
#### Option B: Individual Server Startup
- **Start the Backend Server:** If you prefer, you can start the backend server independently to focus on backend-related tasks or configurations.
```bash
make start-backend
```
- **Start the Backend Server:** If you prefer, you can start the backend server independently to focus on
backend-related tasks or configurations.
```bash
make start-backend
```
- **Start the Frontend Server:** Similarly, you can start the frontend server on its own to work on frontend-related
components or interface enhancements.
```bash
make start-frontend
```
### 5. Running OpenHands with OpenHands
You can use OpenHands to develop and improve OpenHands itself! This is a powerful way to leverage AI assistance for contributing to the project.
#### Quick Start
1. **Build and run OpenHands:**
```bash
export INSTALL_DOCKER=0
export RUNTIME=local
make build && make run
```
2. **Access the interface:**
- Local development: http://localhost:3001
- Remote/cloud environments: Use the appropriate external URL
3. **Configure for external access (if needed):**
```bash
# For external access (e.g., cloud environments)
make run FRONTEND_PORT=12000 FRONTEND_HOST=0.0.0.0 BACKEND_HOST=0.0.0.0
```
- **Start the Frontend Server:** Similarly, you can start the frontend server on its own to work on frontend-related components or interface enhancements.
```bash
make start-frontend
```
### 6. LLM Debugging
If you encounter any issues with the Language Model (LM) or you're simply curious, export DEBUG=1 in the environment and restart the backend.
OpenHands will log the prompts and responses in the logs/llm/CURRENT_DATE directory, allowing you to identify the causes.
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 help or info on available targets and commands? Use the help command for all the guidance you need with OpenHands.
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`.
### 10. Use existing Docker image
To reduce build time (e.g., if no changes were made to the client-runtime component), you can use an existing Docker
container image by setting the SANDBOX_RUNTIME_CONTAINER_IMAGE environment variable to the desired Docker image.
Example: `export SANDBOX_RUNTIME_CONTAINER_IMAGE=ghcr.io/openhands/runtime:1.2-nikolaik`
## Develop inside Docker container
TL;DR
```bash
make docker-dev
```
See more details [here](./containers/dev/README.md).
If you are just interested in running `OpenHands` without installing all the required tools on your host.
```bash
make docker-run
```
If you do not have `make` on your host, run:
```bash
cd ./containers/dev
./dev.sh
```
You do need [Docker](https://docs.docker.com/engine/install/) installed on your host though.
## Key Documentation Resources
Here's a guide to the important documentation files in the repository:
- [/README.md](./README.md): Main project overview, features, and basic setup instructions
- [/Development.md](./Development.md) (this file): Comprehensive guide for developers working on OpenHands
- [/CONTRIBUTING.md](./CONTRIBUTING.md): Guidelines for contributing to the project, including code style and PR process
- [DOC_STYLE_GUIDE.md](https://github.com/OpenHands/docs/blob/main/openhands/DOC_STYLE_GUIDE.md): Standards for writing and maintaining project documentation
- [/openhands/README.md](./openhands/README.md): Details about the backend Python implementation
- [/frontend/README.md](./frontend/README.md): Frontend React application setup and development guide
- [/containers/README.md](./containers/README.md): Information about Docker containers and deployment
- [/tests/unit/README.md](./tests/unit/README.md): Guide to writing and running unit tests
- [OpenHands/benchmarks](https://github.com/OpenHands/benchmarks): Documentation for the evaluation framework and benchmarks
- [/skills/README.md](./skills/README.md): Information about the skills architecture and implementation
- [/openhands/server/README.md](./openhands/server/README.md): Server implementation details and API documentation
- [/openhands/runtime/README.md](./openhands/runtime/README.md): Documentation for the runtime environment and execution model
1. Add your dependency in `pyproject.toml` or use `poetry add xxx`
2. Update the poetry.lock file via `poetry lock --no-update`

View File

@@ -1,27 +0,0 @@
# Issue Triage
These are the procedures and guidelines on how issues are triaged in this repo by the maintainers.
## General
* All issues must be tagged with **enhancement**, **bug** or **troubleshooting/help**.
* Issues may be tagged with what it relates to (**llm**, **app tab**, **UI/UX**, etc.).
## Severity
* **High**: High visibility issues or affecting many users.
* **Critical**: Affecting all users or potential security issues.
## Difficulty
* Issues good for newcomers may be tagged with **good first issue**.
## Not Enough Information
* User is asked to provide more information (logs, how to reproduce, etc.) when the issue is not clear.
* If an issue is unclear and the author does not provide more information or respond to a request,
the issue may be closed as **not planned** (Usually after a week).
## Multiple Requests/Fixes in One Issue
* These issues will be narrowed down to one request/fix so the issue is more easily tracked and fixed.
* Issues may be broken down into multiple issues if required.
## Stale and Auto Closures
* In order to keep a maintainable backlog, issues that have no activity within 40 days are automatically marked as **Stale**.
* If issues marked as **Stale** continue to have no activity for 10 more days, they will automatically be closed as not planned.
* Issues may be reopened by maintainers if deemed important.

View File

@@ -1,12 +1,7 @@
Portions of this software are licensed as follows:
* All content that resides under the enterprise/ directory is licensed under the license defined in "enterprise/LICENSE".
* Content outside of the above mentioned directories or restrictions above is available under the MIT license as defined below.
The MIT License (MIT)
=====================
The MIT License (MIT)
Copyright © 2025
Copyright © 2023
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation

View File

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

229
Makefile
View File

@@ -1,18 +1,16 @@
SHELL=/usr/bin/env bash
# Makefile for OpenHands project
SHELL=/bin/bash
# Makefile for OpenDevin project
# Variables
BACKEND_HOST ?= "127.0.0.1"
BACKEND_PORT ?= 3000
BACKEND_HOST_PORT = "$(BACKEND_HOST):$(BACKEND_PORT)"
FRONTEND_HOST ?= "127.0.0.1"
FRONTEND_PORT ?= 3001
DOCKER_IMAGE = ghcr.io/opendevin/sandbox:main
BACKEND_PORT = 3000
BACKEND_HOST = "127.0.0.1:$(BACKEND_PORT)"
FRONTEND_PORT = 3001
DEFAULT_WORKSPACE_DIR = "./workspace"
DEFAULT_MODEL = "gpt-4o"
CONFIG_FILE = config.toml
PRE_COMMIT_CONFIG_PATH = "./dev_config/python/.pre-commit-config.yaml"
PYTHON_VERSION = 3.12
KIND_CLUSTER_NAME = "local-hands"
PYTHON_VERSION = 3.11
# ANSI color codes
GREEN=$(shell tput -Txterm setaf 2)
@@ -25,6 +23,9 @@ 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
@$(MAKE) -s install-pre-commit-hooks
@@ -41,7 +42,6 @@ ifeq ($(INSTALL_DOCKER),)
@$(MAKE) -s check-docker
endif
@$(MAKE) -s check-poetry
@$(MAKE) -s check-tmux
@echo "$(GREEN)Dependencies checked successfully.$(RESET)"
check-system:
@@ -84,10 +84,10 @@ check-nodejs:
@if command -v node > /dev/null; then \
NODE_VERSION=$(shell node --version | sed -E 's/v//g'); \
IFS='.' read -r -a NODE_VERSION_ARRAY <<< "$$NODE_VERSION"; \
if [ "$${NODE_VERSION_ARRAY[0]}" -ge 22 ]; then \
if [ "$${NODE_VERSION_ARRAY[0]}" -gt 18 ] || ([ "$${NODE_VERSION_ARRAY[0]}" -eq 18 ] && [ "$${NODE_VERSION_ARRAY[1]}" -gt 17 ]) || ([ "$${NODE_VERSION_ARRAY[0]}" -eq 18 ] && [ "$${NODE_VERSION_ARRAY[1]}" -eq 17 ] && [ "$${NODE_VERSION_ARRAY[2]}" -ge 1 ]); then \
echo "$(BLUE)Node.js $$NODE_VERSION is already installed.$(RESET)"; \
else \
echo "$(RED)Node.js 22.x or later is required. Please install Node.js 22.x or later to continue.$(RESET)"; \
echo "$(RED)Node.js 18.17.1 or later is required. Please install Node.js 18.17.1 or later to continue.$(RESET)"; \
exit 1; \
fi; \
else \
@@ -104,24 +104,12 @@ check-docker:
exit 1; \
fi
check-tmux:
@echo "$(YELLOW)Checking tmux installation...$(RESET)"
@if command -v tmux > /dev/null; then \
echo "$(BLUE)$(shell tmux -V) is already installed.$(RESET)"; \
else \
echo "$(YELLOW)╔════════════════════════════════════════════════════════════════════════════╗$(RESET)"; \
echo "$(YELLOW)║ OPTIONAL: tmux is not installed. ║$(RESET)"; \
echo "$(YELLOW)║ Some advanced terminal features may not work without tmux. ║$(RESET)"; \
echo "$(YELLOW)║ You can install it if needed, but it's not required for development. ║$(RESET)"; \
echo "$(YELLOW)╚════════════════════════════════════════════════════════════════════════════╝$(RESET)"; \
fi
check-poetry:
@echo "$(YELLOW)Checking Poetry installation...$(RESET)"
@if command -v poetry > /dev/null; then \
POETRY_VERSION=$(shell poetry --version 2>&1 | sed -E 's/Poetry \(version ([0-9]+\.[0-9]+\.[0-9]+)\)/\1/'); \
IFS='.' read -r -a POETRY_VERSION_ARRAY <<< "$$POETRY_VERSION"; \
if [ $${POETRY_VERSION_ARRAY[0]} -gt 1 ] || ([ $${POETRY_VERSION_ARRAY[0]} -eq 1 ] && [ $${POETRY_VERSION_ARRAY[1]} -ge 8 ]); then \
if [ $${POETRY_VERSION_ARRAY[0]} -ge 1 ] && [ $${POETRY_VERSION_ARRAY[1]} -ge 8 ]; then \
echo "$(BLUE)$(shell poetry --version) is already installed.$(RESET)"; \
else \
echo "$(RED)Poetry 1.8 or later is required. You can install poetry by running the following command, then adding Poetry to your PATH:"; \
@@ -136,6 +124,11 @@ check-poetry:
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 \
@@ -148,51 +141,45 @@ install-python-dependencies:
export HNSWLIB_NO_NATIVE=1; \
poetry run pip install chroma-hnswlib; \
fi
@if [ -n "${POETRY_GROUP}" ]; then \
echo "Installing only POETRY_GROUP=${POETRY_GROUP}"; \
poetry install --only $${POETRY_GROUP}; \
@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 \
poetry install --with dev,test,runtime; \
fi
@if [ "${INSTALL_PLAYWRIGHT}" != "false" ] && [ "${INSTALL_PLAYWRIGHT}" != "0" ]; then \
if [ -f "/etc/manjaro-release" ]; then \
echo "$(BLUE)Detected Manjaro Linux. Installing Playwright dependencies...$(RESET)"; \
poetry run pip install playwright; \
poetry run playwright install chromium; \
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 \
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 \
echo "Setup already done. Skipping playwright installation."; \
fi \
else \
echo "Skipping Playwright installation (INSTALL_PLAYWRIGHT=${INSTALL_PLAYWRIGHT})."; \
fi
@echo "$(GREEN)Python dependencies installed successfully.$(RESET)"
install-frontend-dependencies: check-npm check-nodejs
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: check-python check-poetry install-python-dependencies
install-pre-commit-hooks:
@echo "$(YELLOW)Installing pre-commit hooks...$(RESET)"
@git config --unset-all core.hooksPath || true
@poetry run pre-commit install --config $(PRE_COMMIT_CONFIG_PATH)
@echo "$(GREEN)Pre-commit hooks installed successfully.$(RESET)"
lint-backend: install-pre-commit-hooks
lint-backend:
@echo "$(YELLOW)Running linters...$(RESET)"
@poetry run pre-commit run --all-files --show-diff-on-failure --config $(PRE_COMMIT_CONFIG_PATH)
@poetry run pre-commit run --files opendevin/**/* agenthub/**/* evaluation/**/* --show-diff-on-failure --config $(PRE_COMMIT_CONFIG_PATH)
lint-frontend: install-frontend-dependencies
lint-frontend:
@echo "$(YELLOW)Running linters for frontend...$(RESET)"
@cd frontend && npm run lint
@@ -200,40 +187,6 @@ lint:
@$(MAKE) -s lint-frontend
@$(MAKE) -s lint-backend
kind:
@echo "$(YELLOW)Checking if kind is installed...$(RESET)"
@if ! command -v kind > /dev/null; then \
echo "$(RED)kind is not installed. Please install kind with `brew install kind` to continue$(RESET)"; \
exit 1; \
else \
echo "$(BLUE)kind $(shell kind version) is already installed.$(RESET)"; \
fi
@echo "$(YELLOW)Checking if kind cluster '$(KIND_CLUSTER_NAME)' already exists...$(RESET)"
@if kind get clusters | grep -q "^$(KIND_CLUSTER_NAME)$$"; then \
echo "$(BLUE)Kind cluster '$(KIND_CLUSTER_NAME)' already exists.$(RESET)"; \
kubectl config use-context kind-$(KIND_CLUSTER_NAME); \
else \
echo "$(YELLOW)Creating kind cluster '$(KIND_CLUSTER_NAME)'...$(RESET)"; \
kind create cluster --name $(KIND_CLUSTER_NAME) --config kind/cluster.yaml; \
fi
@echo "$(YELLOW)Checking if mirrord is installed...$(RESET)"
@if ! command -v mirrord > /dev/null; then \
echo "$(RED)mirrord is not installed. Please install mirrord with `brew install metalbear-co/mirrord/mirrord` to continue$(RESET)"; \
exit 1; \
else \
echo "$(BLUE)mirrord $(shell mirrord --version) is already installed.$(RESET)"; \
fi
@echo "$(YELLOW)Installing k8s mirrord resources...$(RESET)"
@kubectl apply -f kind/manifests
@echo "$(GREEN)Mirrord resources installed successfully.$(RESET)"
@echo "$(YELLOW)Waiting for Mirrord pod to be ready.$(RESET)"
@sleep 5
@kubectl wait --for=condition=Available deployment/ubuntu-dev
@echo "$(YELLOW)Waiting for Nginx to be ready.$(RESET)"
@kubectl -n ingress-nginx wait --for=condition=Available deployment/ingress-nginx-controller
@echo "$(YELLOW)Running make run inside of mirrord.$(RESET)"
@mirrord exec --target deployment/ubuntu-dev -- make run
test-frontend:
@echo "$(YELLOW)Running tests for frontend...$(RESET)"
@cd frontend && npm run test
@@ -243,24 +196,17 @@ test:
build-frontend:
@echo "$(YELLOW)Building frontend...$(RESET)"
@cd frontend && npm run prepare && npm run build
@cd frontend && npm run build
# Start backend
start-backend:
@echo "$(YELLOW)Starting backend...$(RESET)"
@poetry run uvicorn openhands.server.listen:app --host $(BACKEND_HOST) --port $(BACKEND_PORT) --reload --reload-exclude "./workspace"
@poetry run uvicorn opendevin.server.listen:app --port $(BACKEND_PORT) --reload --reload-exclude "workspace/*"
# Start frontend
start-frontend:
@echo "$(YELLOW)Starting frontend...$(RESET)"
@cd frontend && \
if grep -qi microsoft /proc/version 2>/dev/null; then \
echo "Detected WSL environment. Using 'dev_wsl'"; \
SCRIPT=dev_wsl; \
else \
SCRIPT=dev; \
fi; \
VITE_BACKEND_HOST=$(BACKEND_HOST_PORT) VITE_FRONTEND_PORT=$(FRONTEND_PORT) npm run $$SCRIPT -- --port $(FRONTEND_PORT) --host $(BACKEND_HOST)
@cd frontend && VITE_BACKEND_HOST=$(BACKEND_HOST) VITE_FRONTEND_PORT=$(FRONTEND_PORT) npm run start
# Common setup for running the app (non-callable)
_run_setup:
@@ -270,7 +216,7 @@ _run_setup:
fi
@mkdir -p logs
@echo "$(YELLOW)Starting backend server...$(RESET)"
@poetry run uvicorn openhands.server.listen:app --host $(BACKEND_HOST) --port $(BACKEND_PORT) &
@poetry run uvicorn opendevin.server.listen:app --port $(BACKEND_PORT) &
@echo "$(YELLOW)Waiting for the backend to start...$(RESET)"
@until nc -z localhost $(BACKEND_PORT); do sleep 0.1; done
@echo "$(GREEN)Backend started successfully.$(RESET)"
@@ -279,23 +225,15 @@ _run_setup:
run:
@echo "$(YELLOW)Running the app...$(RESET)"
@$(MAKE) -s _run_setup
@$(MAKE) -s start-frontend
@cd frontend && echo "$(BLUE)Starting frontend with npm...$(RESET)" && npm run start -- --port $(FRONTEND_PORT)
@echo "$(GREEN)Application started successfully.$(RESET)"
# Run the app (in docker)
docker-run: WORKSPACE_BASE ?= $(PWD)/workspace
docker-run:
@if [ -f /.dockerenv ]; then \
echo "Running inside a Docker container. Exiting..."; \
exit 0; \
else \
echo "$(YELLOW)Running the app in Docker $(OPTIONS)...$(RESET)"; \
export WORKSPACE_BASE=${WORKSPACE_BASE}; \
export SANDBOX_USER_ID=$(shell id -u); \
export DATE=$(shell date +%Y%m%d%H%M%S); \
docker compose up $(OPTIONS); \
fi
# Run the app (WSL mode)
run-wsl:
@echo "$(YELLOW)Running the app in WSL mode...$(RESET)"
@$(MAKE) -s _run_setup
@cd frontend && echo "$(BLUE)Starting frontend with npm (WSL mode)...$(RESET)" && npm run dev_wsl -- --port $(FRONTEND_PORT)
@echo "$(GREEN)Application started successfully in WSL mode.$(RESET)"
# Setup config.toml
setup-config:
@@ -311,6 +249,16 @@ setup-config-prompts:
workspace_dir=$${workspace_dir:-$(DEFAULT_WORKSPACE_DIR)}; \
echo "workspace_base=\"$$workspace_dir\"" >> $(CONFIG_FILE).tmp
@read -p "Do you want to persist the sandbox container? [true/false] [default: false]: " persist_sandbox; \
persist_sandbox=$${persist_sandbox:-false}; \
if [ "$$persist_sandbox" = "true" ]; then \
read -p "Enter a password for the sandbox container: " ssh_password; \
echo "ssh_password=\"$$ssh_password\"" >> $(CONFIG_FILE).tmp; \
echo "persist_sandbox=$$persist_sandbox" >> $(CONFIG_FILE).tmp; \
else \
echo "persist_sandbox=$$persist_sandbox" >> $(CONFIG_FILE).tmp; \
fi
@echo "" >> $(CONFIG_FILE).tmp
@echo "[llm]" >> $(CONFIG_FILE).tmp
@@ -324,30 +272,36 @@ setup-config-prompts:
@read -p "Enter your LLM base URL [mostly used for local LLMs, leave blank if not needed - example: http://localhost:5001/v1/]: " llm_base_url; \
if [[ ! -z "$$llm_base_url" ]]; then echo "base_url=\"$$llm_base_url\"" >> $(CONFIG_FILE).tmp; fi
setup-config-basic:
@printf '%s\n' \
'[core]' \
'workspace_base="./workspace"' \
> config.toml
@echo "$(GREEN)config.toml created.$(RESET)"
@echo "Enter your LLM Embedding Model"; \
echo "Choices are:"; \
echo " - openai"; \
echo " - azureopenai"; \
echo " - Embeddings available only with OllamaEmbedding:"; \
echo " - llama2"; \
echo " - mxbai-embed-large"; \
echo " - nomic-embed-text"; \
echo " - all-minilm"; \
echo " - stable-code"; \
echo " - Leave blank to default to 'BAAI/bge-small-en-v1.5' via huggingface"; \
read -p "> " llm_embedding_model; \
echo "embedding_model=\"$$llm_embedding_model\"" >> $(CONFIG_FILE).tmp; \
if [ "$$llm_embedding_model" = "llama2" ] || [ "$$llm_embedding_model" = "mxbai-embed-large" ] || [ "$$llm_embedding_model" = "nomic-embed-text" ] || [ "$$llm_embedding_model" = "all-minilm" ] || [ "$$llm_embedding_model" = "stable-code" ]; then \
read -p "Enter the local model URL for the embedding model (will set llm.embedding_base_url): " llm_embedding_base_url; \
echo "embedding_base_url=\"$$llm_embedding_base_url\"" >> $(CONFIG_FILE).tmp; \
elif [ "$$llm_embedding_model" = "azureopenai" ]; then \
read -p "Enter the Azure endpoint URL (will overwrite llm.base_url): " llm_base_url; \
echo "base_url=\"$$llm_base_url\"" >> $(CONFIG_FILE).tmp; \
read -p "Enter the Azure LLM Embedding Deployment Name: " llm_embedding_deployment_name; \
echo "embedding_deployment_name=\"$$llm_embedding_deployment_name\"" >> $(CONFIG_FILE).tmp; \
read -p "Enter the Azure API Version: " llm_api_version; \
echo "api_version=\"$$llm_api_version\"" >> $(CONFIG_FILE).tmp; \
fi
openhands-cloud-run:
@$(MAKE) run BACKEND_HOST="0.0.0.0" BACKEND_PORT="12000" FRONTEND_HOST="0.0.0.0" FRONTEND_PORT="12001"
# Develop in container
docker-dev:
@if [ -f /.dockerenv ]; then \
echo "Running inside a Docker container. Exiting..."; \
exit 0; \
else \
echo "$(YELLOW)Build and run in Docker $(OPTIONS)...$(RESET)"; \
./containers/dev/dev.sh $(OPTIONS); \
fi
# Clean up all caches
clean:
@echo "$(YELLOW)Cleaning up caches...$(RESET)"
@rm -rf openhands/.cache
@rm -rf opendevin/.cache
@echo "$(GREEN)Caches cleaned up successfully.$(RESET)"
# Help
@@ -356,16 +310,13 @@ 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-system check-python check-npm check-nodejs check-docker check-poetry install-python-dependencies install-frontend-dependencies install-pre-commit-hooks lint-backend lint-frontend lint test-frontend test build-frontend start-backend start-frontend _run_setup run run-wsl setup-config setup-config-prompts setup-config-basic openhands-cloud-run docker-dev docker-run clean help
.PHONY: kind
.PHONY: build check-dependencies check-python check-npm check-docker check-poetry pull-docker-image install-python-dependencies install-frontend-dependencies install-pre-commit-hooks lint start-backend start-frontend run run-wsl setup-config setup-config-prompts help

175
README.md
View File

@@ -1,86 +1,149 @@
<a name="readme-top"></a>
<div align="center">
<img src="https://raw.githubusercontent.com/OpenHands/docs/main/openhands/static/img/logo.png" alt="Logo" width="200">
<h1 align="center" style="border-bottom: none">OpenHands: AI-Driven Development</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/OpenHands/OpenHands/blob/main/LICENSE"><img src="https://img.shields.io/badge/LICENSE-MIT-20B2AA?style=for-the-badge" alt="MIT License"></a>
<a href="https://docs.google.com/spreadsheets/d/1wOUdFCMyY6Nt0AIqF705KN4JKOWgeI4wUGUP60krXXs/edit?gid=811504672#gid=811504672"><img src="https://img.shields.io/badge/SWEBench-77.6-00cc00?logoColor=FFE165&style=for-the-badge" alt="Benchmark Score"></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://docs.openhands.dev/sdk"><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/2511.03690"><img src="https://img.shields.io/badge/Paper-000?logoColor=FFE165&logo=arxiv&style=for-the-badge" alt="Tech Report"></a>
<!-- Keep these links. Translations will automatically update with the README. -->
<a href="https://www.readme-i18n.com/OpenHands/OpenHands?lang=de">Deutsch</a> |
<a href="https://www.readme-i18n.com/OpenHands/OpenHands?lang=es">Español</a> |
<a href="https://www.readme-i18n.com/OpenHands/OpenHands?lang=fr">français</a> |
<a href="https://www.readme-i18n.com/OpenHands/OpenHands?lang=ja">日本語</a> |
<a href="https://www.readme-i18n.com/OpenHands/OpenHands?lang=ko">한국어</a> |
<a href="https://www.readme-i18n.com/OpenHands/OpenHands?lang=pt">Português</a> |
<a href="https://www.readme-i18n.com/OpenHands/OpenHands?lang=ru">Русский</a> |
<a href="https://www.readme-i18n.com/OpenHands/OpenHands?lang=zh">中文</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://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>
<!-- 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/modules/usage/intro"><img src="https://img.shields.io/badge/Documentation-OpenDevin-blue?logo=googledocs&logoColor=white&style=for-the-badge" alt="Check out the documentation"></a>
<a href="https://huggingface.co/spaces/OpenDevin/evaluation"><img src="https://img.shields.io/badge/Evaluation-Benchmark%20on%20HF%20Space-green?style=for-the-badge" alt="Evaluation Benchmark"></a>
</div>
<hr>
🙌 Welcome to OpenHands, a [community](COMMUNITY.md) focused on AI-driven development. Wed love for you to [join us on Slack](https://dub.sh/openhands).
Welcome to OpenDevin, a platform for autonomous software engineers, powered by AI and LLMs.
There are a few ways to work with OpenHands:
OpenDevin agents collaborate with human developers to write code, fix bugs, and ship features.
### OpenHands Software Agent SDK
The SDK is a composable Python library that contains all of our agentic tech. It's the engine that powers everything else below.
![App screenshot](./docs/static/img/screenshot.png)
Define agents in code, then run them locally, or scale to 1000s of agents in the cloud.
## ⚡ Getting Started
OpenDevin works best with the most recent version of Docker, `26.0.0`.
You must be using Linux, Mac OS, or WSL on Windows.
[Check out the docs](https://docs.openhands.dev/sdk) or [view the source](https://github.com/OpenHands/software-agent-sdk/)
To start OpenDevin in a docker container, run the following commands in your terminal:
### OpenHands CLI
The CLI is the easiest way to start using OpenHands. The experience will be familiar to anyone who has worked
with e.g. Claude Code or Codex. You can power it with Claude, GPT, or any other LLM.
> [!WARNING]
> When you run the following command, files in `./workspace` may be modified or deleted.
[Check out the docs](https://docs.openhands.dev/openhands/usage/run-openhands/cli-mode) or [view the source](https://github.com/OpenHands/OpenHands-CLI)
```bash
WORKSPACE_BASE=$(pwd)/workspace
docker run -it \
--pull=always \
-e SANDBOX_USER_ID=$(id -u) \
-e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
-v $WORKSPACE_BASE:/opt/workspace_base \
-v /var/run/docker.sock:/var/run/docker.sock \
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
--name opendevin-app-$(date +%Y%m%d%H%M%S) \
ghcr.io/opendevin/opendevin
```
### OpenHands Local GUI
Use the Local GUI for running agents on your laptop. It comes with a REST API and a single-page React application.
The experience will be familiar to anyone who has used Devin or Jules.
> [!NOTE]
> By default, this command pulls the `latest` tag, which represents the most recent release of OpenDevin. You have other options as well:
> - For a specific release version, use `ghcr.io/opendevin/opendevin:<OpenDevin_version>` (replace <OpenDevin_version> with the desired version number).
> - For the most up-to-date development version, use `ghcr.io/opendevin/opendevin:main`. This version may be **(unstable!)** and is recommended for testing or development purposes only.
>
> Choose the tag that best suits your needs based on stability requirements and desired features.
[Check out the docs](https://docs.openhands.dev/openhands/usage/run-openhands/local-setup) or view the source in this repo.
You'll find OpenDevin running at [http://localhost:3000](http://localhost:3000) with access to `./workspace`. To have OpenDevin operate on your code, place it in `./workspace`.
OpenDevin will only have access to this workspace folder. The rest of your system will not be affected as it runs in a secured docker sandbox.
### OpenHands Cloud
This is a deployment of OpenHands GUI, running on hosted infrastructure.
Upon opening OpenDevin, you must select the appropriate `Model` and enter the `API Key` within the settings that should pop up automatically. These can be set at any time by selecting
the `Settings` button (gear icon) in the UI. If the required `Model` does not exist in the list, you can manually enter it in the text box.
You can try it for free using the Minimax model by [signing in with your GitHub or GitLab account](https://app.all-hands.dev).
For the development workflow, see [Development.md](https://github.com/OpenDevin/OpenDevin/blob/main/Development.md).
OpenHands Cloud comes with source-available features and integrations:
- Integrations with Slack, Jira, and Linear
- Multi-user support
- RBAC and permissions
- Collaboration features (e.g., conversation sharing)
Are you having trouble? Check out our [Troubleshooting Guide](https://opendevin.github.io/OpenDevin/modules/usage/troubleshooting).
### OpenHands Enterprise
Large enterprises can work with us to self-host OpenHands Cloud in their own VPC, via Kubernetes.
OpenHands Enterprise can also work with the CLI and SDK above.
## 🚀 Documentation
OpenHands Enterprise is source-available--you can see all the source code here in the enterprise/ directory,
but you'll need to purchase a license if you want to run it for more than one month.
To learn more about the project, and for tips on using OpenDevin,
**check out our [documentation](https://opendevin.github.io/OpenDevin/modules/usage/intro)**.
Enterprise contracts also come with extended support and access to our research team.
There you'll find resources on how to use different LLM providers (like ollama and Anthropic's Claude),
troubleshooting resources, and advanced configuration options.
Learn more at [openhands.dev/enterprise](https://openhands.dev/enterprise)
## 🤝 How to Contribute
### Everything Else
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:
Check out our [Product Roadmap](https://github.com/orgs/openhands/projects/1), and feel free to
[open up an issue](https://github.com/OpenHands/OpenHands/issues) if there's something you'd like to see!
- **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 OpenDevin toolset, report bugs, suggest features, or provide feedback on usability.
You might also be interested in our [evaluation infrastructure](https://github.com/OpenHands/benchmarks), our [chrome extension](https://github.com/OpenHands/openhands-chrome-extension/), or our [Theory-of-Mind module](https://github.com/OpenHands/ToM-SWE).
For details, please check [CONTRIBUTING.md](./CONTRIBUTING.md).
All our work is available under the MIT license, except for the `enterprise/` directory in this repository (see the [enterprise license](enterprise/LICENSE) for details).
The core `openhands` and `agent-server` Docker images are fully MIT-licensed as well.
## 🤖 Join Our Community
If you need help with anything, or just want to chat, [come find us on Slack](https://dub.sh/openhands).
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/opendevin/shared_invite/zt-2jsrl32uf-fTeeFjNyNYxqSZt5NPY3fA) - 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://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>
## 📜 License
Distributed under the MIT License. See [`LICENSE`](./LICENSE) for more information.
[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
## 📚 Cite
```
@misc{opendevin2024,
author = {{OpenDevin Team}},
title = {{OpenDevin: An Open Platform for AI Software Developers as Generalist Agents}},
year = {2024},
version = {v1.0},
howpublished = {\url{https://github.com/OpenDevin/OpenDevin}},
note = {Accessed: ENTER THE DATE YOU ACCESSED THE PROJECT}
}
```

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# Agent Framework Research
In this folder, there may exist multiple implementations of `Agent` that will be used by the framework.
For example, `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/controller/agent.py).
Agents are run inside of a loop. At each iteration, `agent.step()` is called with a
[State](../opendevin/controller/state/state.py) input, and the agent must output an [Action](../opendevin/events/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/events/action/commands.py) - Runs a command inside a sandboxed terminal
- [`IPythonRunCellAction`](../opendevin/events/action/commands.py) - Execute a block of Python code interactively (in Jupyter notebook) and receives `CmdOutputObservation`. Requires setting up `jupyter` [plugin](../opendevin/runtime/plugins) as a requirement.
- [`FileReadAction`](../opendevin/events/action/files.py) - Reads the content of a file
- [`FileWriteAction`](../opendevin/events/action/files.py) - Writes new content to a file
- [`BrowseURLAction`](../opendevin/events/action/browse.py) - Gets the content of a URL
- [`AddTaskAction`](../opendevin/events/action/tasks.py) - Adds a subtask to the plan
- [`ModifyTaskAction`](../opendevin/events/action/tasks.py) - Changes the state of a subtask.
- [`AgentFinishAction`](../opendevin/events/action/agent.py) - Stops the control loop, allowing the user/delegator agent to enter a new task
- [`AgentRejectAction`](../opendevin/events/action/agent.py) - Stops the control loop, allowing the user/delegator agent to enter a new task
- [`AgentFinishAction`](../opendevin/events/action/agent.py) - Stops the control loop, allowing the user to enter a new task
- [`MessageAction`](../opendevin/events/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).
Here is a list of available Observations:
- [`CmdOutputObservation`](../opendevin/events/observation/commands.py)
- [`BrowserOutputObservation`](../opendevin/events/observation/browse.py)
- [`FileReadObservation`](../opendevin/events/observation/files.py)
- [`FileWriteObservation`](../opendevin/events/observation/files.py)
- [`ErrorObservation`](../opendevin/events/observation/error.py)
- [`SuccessObservation`](../opendevin/events/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`.

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from dotenv import load_dotenv
from opendevin.controller.agent import Agent
from .micro.agent import MicroAgent
from .micro.registry import all_microagents
load_dotenv()
from . import ( # noqa: E402
browsing_agent,
codeact_agent,
codeact_swe_agent,
delegator_agent,
dummy_agent,
gptswarm_agent,
monologue_agent,
planner_agent,
)
__all__ = [
'monologue_agent',
'codeact_agent',
'gptswarm_agent',
'codeact_swe_agent',
'planner_agent',
'delegator_agent',
'dummy_agent',
'browsing_agent',
]
for agent in all_microagents.values():
name = agent['name']
prompt = agent['prompt']
anon_class = type(
name,
(MicroAgent,),
{
'prompt': prompt,
'agent_definition': agent,
},
)
Agent.register(name, anon_class)

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# Browsing Agent Framework
This folder implements the basic BrowserGym [demo agent](https://github.com/ServiceNow/BrowserGym/tree/main/demo_agent) that enables full-featured web browsing.
## Test run
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 ./opendevin/core/main.py \
-i 10 \
-t "tell me the usa's president using google search" \
-c BrowsingAgent \
-m gpt-4o-2024-05-13
```

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from opendevin.controller.agent import Agent
from .browsing_agent import BrowsingAgent
Agent.register('BrowsingAgent', BrowsingAgent)

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import os
from browsergym.core.action.highlevel import HighLevelActionSet
from browsergym.utils.obs import flatten_axtree_to_str
from agenthub.browsing_agent.response_parser import BrowsingResponseParser
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.event import EventSource
from opendevin.events.observation import BrowserOutputObservation
from opendevin.events.observation.observation import Observation
from opendevin.llm.llm import LLM
from opendevin.runtime.plugins import (
PluginRequirement,
)
from opendevin.runtime.tools import RuntimeTool
USE_NAV = (
os.environ.get('USE_NAV', 'true') == 'true'
) # only disable NAV actions when running webarena and miniwob benchmarks
USE_CONCISE_ANSWER = (
os.environ.get('USE_CONCISE_ANSWER', 'false') == 'true'
) # only return concise answer when running webarena and miniwob benchmarks
if not USE_NAV and USE_CONCISE_ANSWER:
EVAL_MODE = True # disabled NAV actions and only return concise answer, for webarena and miniwob benchmarks\
else:
EVAL_MODE = False
def get_error_prefix(last_browser_action: str) -> str:
return f'IMPORTANT! Last action is incorrect:\n{last_browser_action}\nThink again with the current observation of the page.\n'
def get_system_message(goal: str, action_space: str) -> str:
return 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
{action_space}
"""
CONCISE_INSTRUCTION = """\
Here is another example with chain of thought of a valid action when providing a concise answer to user:
"
In order to accomplish my goal I need to send the information asked back to the user. This page list the information of HP Inkjet Fax Machine, which is the product identified in the objective. Its price is $279.49. I will send a message back to user with the answer.
```send_msg_to_user("$279.49")```
"
"""
def get_prompt(error_prefix: str, cur_axtree_txt: str, prev_action_str: str) -> str:
prompt = f"""\
{error_prefix}
# Current Accessibility Tree:
{cur_axtree_txt}
# Previous Actions
{prev_action_str}
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()
if USE_CONCISE_ANSWER:
prompt += CONCISE_INSTRUCTION
return prompt
class BrowsingAgent(Agent):
VERSION = '1.0'
"""
An agent that interacts with the browser.
"""
sandbox_plugins: list[PluginRequirement] = []
runtime_tools: list[RuntimeTool] = [RuntimeTool.BROWSER]
response_parser = BrowsingResponseParser()
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)
# define a configurable action space, with chat functionality, web navigation, and webpage grounding using accessibility tree and HTML.
# see https://github.com/ServiceNow/BrowserGym/blob/main/core/src/browsergym/core/action/highlevel.py for more details
action_subsets = ['chat', 'bid']
if USE_NAV:
action_subsets.append('nav')
self.action_space = HighLevelActionSet(
subsets=action_subsets,
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
self.error_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
"""
messages = []
prev_actions = []
cur_axtree_txt = ''
error_prefix = ''
last_obs = None
last_action = None
if EVAL_MODE and len(state.history.get_events_as_list()) == 1:
# for webarena and miniwob++ eval, we need to retrieve the initial observation already in browser env
# initialize and retrieve the first observation by issuing an noop OP
# For non-benchmark browsing, the browser env starts with a blank page, and the agent is expected to first navigate to desired websites
return BrowseInteractiveAction(browser_actions='noop()')
for event in state.history.get_events():
if isinstance(event, BrowseInteractiveAction):
prev_actions.append(event.browser_actions)
last_action = event
elif isinstance(event, MessageAction) and event.source == EventSource.AGENT:
# agent has responded, task finished.
return AgentFinishAction(outputs={'content': event.content})
elif isinstance(event, Observation):
last_obs = event
if EVAL_MODE:
prev_actions = prev_actions[1:] # remove the first noop action
prev_action_str = '\n'.join(prev_actions)
# if the final BrowserInteractiveAction exec BrowserGym's send_msg_to_user,
# we should also send a message back to the user in OpenDevin and call it a day
if (
isinstance(last_action, BrowseInteractiveAction)
and last_action.browsergym_send_msg_to_user
):
return MessageAction(last_action.browsergym_send_msg_to_user)
if isinstance(last_obs, BrowserOutputObservation):
if last_obs.error:
# add error recovery prompt prefix
error_prefix = get_error_prefix(last_obs.last_browser_action)
self.error_accumulator += 1
if self.error_accumulator > 5:
return MessageAction('Too many errors encountered. Task failed.')
try:
cur_axtree_txt = flatten_axtree_to_str(
last_obs.axtree_object,
extra_properties=last_obs.extra_element_properties,
with_clickable=True,
filter_visible_only=True,
)
except Exception as e:
logger.error(
'Error when trying to process the accessibility tree: %s', e
)
return MessageAction('Error encountered when browsing.')
if (goal := state.get_current_user_intent()) is None:
goal = state.inputs['task']
system_msg = get_system_message(
goal,
self.action_space.describe(with_long_description=False, with_examples=True),
)
messages.append({'role': 'system', 'content': system_msg})
prompt = get_prompt(error_prefix, cur_axtree_txt, prev_action_str)
messages.append({'role': 'user', 'content': prompt})
logger.debug(prompt)
response = self.llm.completion(
messages=messages,
temperature=0.0,
stop=[')```', ')\n```'],
)
return self.response_parser.parse(response)

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import abc
import difflib
import logging
import platform
from copy import deepcopy
from dataclasses import asdict, dataclass
from textwrap import dedent
from typing import Literal, Union
from warnings import warn
from browsergym.core.action.base import AbstractActionSet
from browsergym.core.action.highlevel import HighLevelActionSet
from browsergym.core.action.python import PythonActionSet
from opendevin.runtime.browser.browser_env import BrowserEnv
from .utils import (
ParseError,
parse_html_tags_raise,
)
@dataclass
class Flags:
use_html: bool = True
use_ax_tree: bool = False
drop_ax_tree_first: bool = True # This flag is no longer active TODO delete
use_thinking: bool = False
use_error_logs: bool = False
use_past_error_logs: bool = False
use_history: bool = False
use_action_history: bool = False
use_memory: bool = False
use_diff: bool = False
html_type: str = 'pruned_html'
use_concrete_example: bool = True
use_abstract_example: bool = False
multi_actions: bool = False
action_space: Literal[
'python', 'bid', 'coord', 'bid+coord', 'bid+nav', 'coord+nav', 'bid+coord+nav'
] = 'bid'
is_strict: bool = False
# This flag will be automatically disabled `if not chat_model_args.has_vision()`
use_screenshot: bool = True
enable_chat: bool = False
max_prompt_tokens: int = 100_000
extract_visible_tag: bool = False
extract_coords: Literal['False', 'center', 'box'] = 'False'
extract_visible_elements_only: bool = False
demo_mode: Literal['off', 'default', 'only_visible_elements'] = 'off'
def copy(self):
return deepcopy(self)
def asdict(self):
"""Helper for JSON serializble requirement."""
return asdict(self)
@classmethod
def from_dict(self, flags_dict):
"""Helper for JSON serializble requirement."""
if isinstance(flags_dict, Flags):
return flags_dict
if not isinstance(flags_dict, dict):
raise ValueError(
f'Unregcognized type for flags_dict of type {type(flags_dict)}.'
)
return Flags(**flags_dict)
class PromptElement:
"""Base class for all prompt elements. Prompt elements can be hidden.
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."""
_prompt = ''
_abstract_ex = ''
_concrete_ex = ''
def __init__(self, visible: bool = True) -> None:
"""Prompt element that can be hidden.
Parameters
----------
visible : bool, optional
Whether the prompt element should be visible, by default True. Can
be a callable that returns a bool. This is useful when a specific
flag changes during a shrink iteration.
"""
self._visible = visible
@property
def prompt(self):
"""Avoid overriding this method. Override _prompt instead."""
return self._hide(self._prompt)
@property
def abstract_ex(self):
"""Useful when this prompt element is requesting an answer from the llm.
Provide an abstract example of the answer here. See Memory for an
example.
Avoid overriding this method. Override _abstract_ex instead
"""
return self._hide(self._abstract_ex)
@property
def concrete_ex(self):
"""Useful when this prompt element is requesting an answer from the llm.
Provide a concrete example of the answer here. See Memory for an
example.
Avoid overriding this method. Override _concrete_ex instead
"""
return self._hide(self._concrete_ex)
@property
def is_visible(self):
"""Handle the case where visible is a callable."""
visible = self._visible
if callable(visible):
visible = visible()
return visible
def _hide(self, value):
"""Return value if visible is True, else return empty string."""
if self.is_visible:
return value
else:
return ''
def _parse_answer(self, text_answer) -> dict:
if self.is_visible:
return self._parse_answer(text_answer)
else:
return {}
class Shrinkable(PromptElement, abc.ABC):
@abc.abstractmethod
def shrink(self) -> None:
"""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.
Shrinking is can be called multiple times to progressively shrink the
prompt until it fits max_tokens. Default max shrink iterations is 20.
"""
pass
class Truncater(Shrinkable):
"""A prompt element that can be truncated to fit the context length of the LLM.
Of course, it will be great that we never have to use the functionality here to `shrink()` the prompt.
Extend this class for prompt elements that can be truncated. Usually long observations such as AxTree or HTML.
"""
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.start_truncate_iteration = (
start_truncate_iteration # the iteration to start truncating
)
self.shrink_calls = 0
self.deleted_lines = 0
def shrink(self) -> None:
if self.is_visible and self.shrink_calls >= self.start_truncate_iteration:
# remove the fraction of _prompt
lines = self._prompt.splitlines()
new_line_count = int(len(lines) * (1 - self.shrink_speed))
self.deleted_lines += len(lines) - new_line_count
self._prompt = '\n'.join(lines[:new_line_count])
self._prompt += (
f'\n... Deleted {self.deleted_lines} lines to reduce prompt size.'
)
self.shrink_calls += 1
def fit_tokens(
shrinkable: Shrinkable,
max_prompt_chars=None,
max_iterations=20,
):
"""Shrink a prompt element until it fits max_tokens.
Parameters
----------
shrinkable : Shrinkable
The prompt element to shrink.
max_prompt_chars : int
The maximum number of chars allowed.
max_iterations : int, optional
The maximum number of shrink iterations, by default 20.
model_name : str, optional
The name of the model used when tokenizing.
Returns
-------
str : the prompt after shrinking.
"""
if max_prompt_chars is None:
return shrinkable.prompt
for _ in range(max_iterations):
prompt = shrinkable.prompt
if isinstance(prompt, str):
prompt_str = prompt
elif isinstance(prompt, list):
prompt_str = '\n'.join([p['text'] for p in prompt if p['type'] == 'text'])
else:
raise ValueError(f'Unrecognized type for prompt: {type(prompt)}')
n_chars = len(prompt_str)
if n_chars <= max_prompt_chars:
return prompt
shrinkable.shrink()
logging.info(
dedent(
f"""\
After {max_iterations} shrink iterations, the prompt is still
{len(prompt_str)} chars (greater than {max_prompt_chars}). Returning the prompt as is."""
)
)
return prompt
class HTML(Truncater):
def __init__(self, html, visible: bool = True, prefix='') -> None:
super().__init__(visible=visible, start_truncate_iteration=5)
self._prompt = f'\n{prefix}HTML:\n{html}\n'
class AXTree(Truncater):
def __init__(
self, ax_tree, visible: bool = True, coord_type=None, prefix=''
) -> None:
super().__init__(visible=visible, start_truncate_iteration=10)
if coord_type == 'center':
coord_note = """\
Note: center coordinates are provided in parenthesis and are
relative to the top left corner of the page.\n\n"""
elif coord_type == 'box':
coord_note = """\
Note: bounding box of each object are provided in parenthesis and are
relative to the top left corner of the page.\n\n"""
else:
coord_note = ''
self._prompt = f'\n{prefix}AXTree:\n{coord_note}{ax_tree}\n'
class Error(PromptElement):
def __init__(self, error, visible: bool = True, prefix='') -> None:
super().__init__(visible=visible)
self._prompt = f'\n{prefix}Error from previous action:\n{error}\n'
class Observation(Shrinkable):
"""Observation of the current step.
Contains the html, the accessibility tree and the error logs.
"""
def __init__(self, obs, flags: Flags) -> None:
super().__init__()
self.flags = flags
self.obs = obs
self.html = HTML(obs[flags.html_type], visible=flags.use_html, prefix='## ')
self.ax_tree = AXTree(
obs['axtree_txt'],
visible=flags.use_ax_tree,
coord_type=flags.extract_coords,
prefix='## ',
)
self.error = Error(
obs['last_action_error'],
visible=flags.use_error_logs and obs['last_action_error'],
prefix='## ',
)
def shrink(self):
self.ax_tree.shrink()
self.html.shrink()
@property
def _prompt(self) -> str: # type: ignore
return f'\n# Observation of current step:\n{self.html.prompt}{self.ax_tree.prompt}{self.error.prompt}\n\n'
def add_screenshot(self, prompt):
if self.flags.use_screenshot:
if isinstance(prompt, str):
prompt = [{'type': 'text', 'text': prompt}]
img_url = BrowserEnv.image_to_jpg_base64_url(
self.obs['screenshot'], add_data_prefix=True
)
prompt.append({'type': 'image_url', 'image_url': img_url})
return prompt
class MacNote(PromptElement):
def __init__(self) -> None:
super().__init__(visible=platform.system() == 'Darwin')
self._prompt = '\nNote: you are on mac so you should use Meta instead of Control for Control+C etc.\n'
class BeCautious(PromptElement):
def __init__(self, visible: bool = True) -> None:
super().__init__(visible=visible)
self._prompt = """\
\nBe very cautious. Avoid submitting anything before verifying the effect of your
actions. Take the time to explore the effect of safe actions first. For example
you can fill a few elements of a form, but don't click submit before verifying
that everything was filled correctly.\n"""
class GoalInstructions(PromptElement):
def __init__(self, goal, visible: bool = True) -> None:
super().__init__(visible)
self._prompt = 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}
"""
class ChatInstructions(PromptElement):
def __init__(self, chat_messages, visible: bool = True) -> None:
super().__init__(visible)
self._prompt = """\
# Instructions
You are a UI Assistant, your goal is to help the user perform tasks using a web browser. You can
communicate with the user via a chat, in which the user gives you instructions and in which you
can send back messages. You have access to a web browser that both you and the user can see,
and with which only you can interact via specific commands.
Review the instructions from the user, 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.
## Chat messages:
"""
self._prompt += '\n'.join(
[
f"""\
- [{msg['role']}] {msg['message']}"""
for msg in chat_messages
]
)
class SystemPrompt(PromptElement):
_prompt = """\
You are an agent trying to solve a web task based on the content of the page and
a user instructions. You can interact with the page and explore. Each time you
submit an action it will be sent to the browser and you will receive a new page."""
class MainPrompt(Shrinkable):
def __init__(
self,
obs_history,
actions,
memories,
thoughts,
flags: Flags,
) -> None:
super().__init__()
self.flags = flags
self.history = History(obs_history, actions, memories, thoughts, flags)
if self.flags.enable_chat:
self.instructions: Union[ChatInstructions, GoalInstructions] = (
ChatInstructions(obs_history[-1]['chat_messages'])
)
else:
if (
'chat_messages' in obs_history[-1]
and sum(
[msg['role'] == 'user' for msg in obs_history[-1]['chat_messages']]
)
> 1
):
logging.warning(
'Agent is in goal mode, but multiple user messages are present in the chat. Consider switching to `enable_chat=True`.'
)
self.instructions = GoalInstructions(obs_history[-1]['goal'])
self.obs = Observation(obs_history[-1], self.flags)
self.action_space = ActionSpace(self.flags)
self.think = Think(visible=flags.use_thinking)
self.memory = Memory(visible=flags.use_memory)
@property
def _prompt(self) -> str: # type: ignore
prompt = f"""\
{self.instructions.prompt}\
{self.obs.prompt}\
{self.history.prompt}\
{self.action_space.prompt}\
{self.think.prompt}\
{self.memory.prompt}\
"""
if self.flags.use_abstract_example:
prompt += f"""
# Abstract Example
Here is an abstract version of the answer with description of the content of
each tag. Make sure you follow this structure, but replace the content with your
answer:
{self.think.abstract_ex}\
{self.memory.abstract_ex}\
{self.action_space.abstract_ex}\
"""
if self.flags.use_concrete_example:
prompt += f"""
# Concrete Example
Here is a concrete example of how to format your answer.
Make sure to follow the template with proper tags:
{self.think.concrete_ex}\
{self.memory.concrete_ex}\
{self.action_space.concrete_ex}\
"""
return self.obs.add_screenshot(prompt)
def shrink(self):
self.history.shrink()
self.obs.shrink()
def _parse_answer(self, text_answer):
ans_dict = {}
ans_dict.update(self.think._parse_answer(text_answer))
ans_dict.update(self.memory._parse_answer(text_answer))
ans_dict.update(self.action_space._parse_answer(text_answer))
return ans_dict
class ActionSpace(PromptElement):
def __init__(self, flags: Flags) -> None:
super().__init__()
self.flags = flags
self.action_space = _get_action_space(flags)
self._prompt = (
f'# Action space:\n{self.action_space.describe()}{MacNote().prompt}\n'
)
self._abstract_ex = f"""
<action>
{self.action_space.example_action(abstract=True)}
</action>
"""
self._concrete_ex = f"""
<action>
{self.action_space.example_action(abstract=False)}
</action>
"""
def _parse_answer(self, text_answer):
ans_dict = parse_html_tags_raise(
text_answer, keys=['action'], merge_multiple=True
)
try:
# just check if action can be mapped to python code but keep action as is
# the environment will be responsible for mapping it to python
self.action_space.to_python_code(ans_dict['action'])
except Exception as e:
raise ParseError(
f'Error while parsing action\n: {e}\n'
'Make sure your answer is restricted to the allowed actions.'
)
return ans_dict
def _get_action_space(flags: Flags) -> AbstractActionSet:
match flags.action_space:
case 'python':
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,
)
if flags.demo_mode != 'off':
warn(
f'Flag action_space={repr(flags.action_space)} incompatible with demo_mode={repr(flags.demo_mode)}.',
stacklevel=2,
)
return action_space
case 'bid':
action_subsets = ['chat', 'bid']
case 'coord':
action_subsets = ['chat', 'coord']
case 'bid+coord':
action_subsets = ['chat', 'bid', 'coord']
case 'bid+nav':
action_subsets = ['chat', 'bid', 'nav']
case 'coord+nav':
action_subsets = ['chat', 'coord', 'nav']
case 'bid+coord+nav':
action_subsets = ['chat', 'bid', 'coord', 'nav']
case _:
raise NotImplementedError(
f'Unknown action_space {repr(flags.action_space)}'
)
action_space = HighLevelActionSet(
subsets=action_subsets,
multiaction=flags.multi_actions,
strict=flags.is_strict,
demo_mode=flags.demo_mode,
)
return action_space
class Memory(PromptElement):
_prompt = '' # provided in the abstract and concrete examples
_abstract_ex = """
<memory>
Write down anything you need to remember for next steps. You will be presented
with the list of previous memories and past actions.
</memory>
"""
_concrete_ex = """
<memory>
I clicked on bid 32 to activate tab 2. The accessibility tree should mention
focusable for elements of the form at next step.
</memory>
"""
def _parse_answer(self, text_answer):
return parse_html_tags_raise(
text_answer, optional_keys=['memory'], merge_multiple=True
)
class Think(PromptElement):
_prompt = ''
_abstract_ex = """
<think>
Think step by step. If you need to make calculations such as coordinates, write them here. Describe the effect
that your previous action had on the current content of the page.
</think>
"""
_concrete_ex = """
<think>
My memory says that I filled the first name and last name, but I can't see any
content in the form. I need to explore different ways to fill the form. Perhaps
the form is not visible yet or some fields are disabled. I need to replan.
</think>
"""
def _parse_answer(self, text_answer):
return parse_html_tags_raise(
text_answer, optional_keys=['think'], merge_multiple=True
)
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 previous == new:
return 'Identical', []
if len(previous) == 0 or previous is None:
return 'previous is empty', []
diff_gen = difflib.ndiff(previous.splitlines(), new.splitlines())
diff_lines = []
plus_count = 0
minus_count = 0
for line in diff_gen:
if line.strip().startswith('+'):
diff_lines.append(line)
plus_count += 1
elif line.strip().startswith('-'):
diff_lines.append(line)
minus_count += 1
else:
continue
header = f'{plus_count} lines added and {minus_count} lines removed:'
return header, diff_lines
class Diff(Shrinkable):
def __init__(
self, previous, new, prefix='', max_line_diff=20, shrink_speed=2, visible=True
) -> None:
super().__init__(visible=visible)
self.max_line_diff = max_line_diff
self.header, self.diff_lines = diff(previous, new)
self.shrink_speed = shrink_speed
self.prefix = prefix
def shrink(self):
self.max_line_diff -= self.shrink_speed
self.max_line_diff = max(1, self.max_line_diff)
@property
def _prompt(self) -> str: # type: ignore
diff_str = '\n'.join(self.diff_lines[: self.max_line_diff])
if len(self.diff_lines) > self.max_line_diff:
original_count = len(self.diff_lines)
diff_str = f'{diff_str}\nDiff truncated, {original_count - self.max_line_diff} changes now shown.'
return f'{self.prefix}{self.header}\n{diff_str}\n'
class HistoryStep(Shrinkable):
def __init__(
self, previous_obs, current_obs, action, memory, flags: Flags, shrink_speed=1
) -> None:
super().__init__()
self.html_diff = Diff(
previous_obs[flags.html_type],
current_obs[flags.html_type],
prefix='\n### HTML diff:\n',
shrink_speed=shrink_speed,
visible=lambda: flags.use_html and flags.use_diff,
)
self.ax_tree_diff = Diff(
previous_obs['axtree_txt'],
current_obs['axtree_txt'],
prefix='\n### Accessibility tree diff:\n',
shrink_speed=shrink_speed,
visible=lambda: flags.use_ax_tree and flags.use_diff,
)
self.error = Error(
current_obs['last_action_error'],
visible=(
flags.use_error_logs
and current_obs['last_action_error']
and flags.use_past_error_logs
),
prefix='### ',
)
self.shrink_speed = shrink_speed
self.action = action
self.memory = memory
self.flags = flags
def shrink(self):
super().shrink()
self.html_diff.shrink()
self.ax_tree_diff.shrink()
@property
def _prompt(self) -> str: # type: ignore
prompt = ''
if self.flags.use_action_history:
prompt += f'\n### Action:\n{self.action}\n'
prompt += (
f'{self.error.prompt}{self.html_diff.prompt}{self.ax_tree_diff.prompt}'
)
if self.flags.use_memory and self.memory is not None:
prompt += f'\n### Memory:\n{self.memory}\n'
return prompt
class History(Shrinkable):
def __init__(
self, history_obs, actions, memories, thoughts, flags: Flags, shrink_speed=1
) -> None:
super().__init__(visible=flags.use_history)
assert len(history_obs) == len(actions) + 1
assert len(history_obs) == len(memories) + 1
self.shrink_speed = shrink_speed
self.history_steps: list[HistoryStep] = []
for i in range(1, len(history_obs)):
self.history_steps.append(
HistoryStep(
history_obs[i - 1],
history_obs[i],
actions[i - 1],
memories[i - 1],
flags,
)
)
def shrink(self):
"""Shrink individual steps"""
# TODO set the shrink speed of older steps to be higher
super().shrink()
for step in self.history_steps:
step.shrink()
@property
def _prompt(self):
prompts = ['# History of interaction with the task:\n']
for i, step in enumerate(self.history_steps):
prompts.append(f'## step {i}')
prompts.append(step.prompt)
return '\n'.join(prompts) + '\n'
if __name__ == '__main__':
html_template = """
<html>
<body>
<div>
Hello World.
Step {}.
</div>
</body>
</html>
"""
OBS_HISTORY = [
{
'goal': 'do this and that',
'pruned_html': html_template.format(1),
'axtree_txt': '[1] Click me',
'last_action_error': '',
},
{
'goal': 'do this and that',
'pruned_html': html_template.format(2),
'axtree_txt': '[1] Click me',
'last_action_error': '',
},
{
'goal': 'do this and that',
'pruned_html': html_template.format(3),
'axtree_txt': '[1] Click me',
'last_action_error': 'Hey, there is an error now',
},
]
ACTIONS = ["click('41')", "click('42')"]
MEMORIES = ['memory A', 'memory B']
THOUGHTS = ['thought A', 'thought B']
flags = Flags(
use_html=True,
use_ax_tree=True,
use_thinking=True,
use_error_logs=True,
use_past_error_logs=True,
use_history=True,
use_action_history=True,
use_memory=True,
use_diff=True,
html_type='pruned_html',
use_concrete_example=True,
use_abstract_example=True,
use_screenshot=False,
multi_actions=True,
)
print(
MainPrompt(
obs_history=OBS_HISTORY,
actions=ACTIONS,
memories=MEMORIES,
thoughts=THOUGHTS,
flags=flags,
).prompt
)

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import ast
from opendevin.controller.action_parser import ActionParser, ResponseParser
from opendevin.core.logger import opendevin_logger as logger
from opendevin.events.action import (
Action,
BrowseInteractiveAction,
)
class BrowsingResponseParser(ResponseParser):
def __init__(self):
# Need to pay attention to the item order in self.action_parsers
super().__init__()
self.action_parsers = [BrowsingActionParserMessage()]
self.default_parser = BrowsingActionParserBrowseInteractive()
def parse(self, response: str) -> Action:
action_str = self.parse_response(response)
return self.parse_action(action_str)
def parse_response(self, response) -> str:
action_str = response['choices'][0]['message']['content']
if action_str is None:
return ''
action_str = action_str.strip()
if not action_str.endswith('```'):
action_str = action_str + ')```'
logger.info(action_str)
return action_str
def parse_action(self, action_str: str) -> Action:
for action_parser in self.action_parsers:
if action_parser.check_condition(action_str):
return action_parser.parse(action_str)
return self.default_parser.parse(action_str)
class BrowsingActionParserMessage(ActionParser):
"""
Parser action:
- BrowseInteractiveAction(browser_actions) - unexpected response format, message back to user
"""
def __init__(
self,
):
pass
def check_condition(self, action_str: str) -> bool:
return '```' not in action_str
def parse(self, action_str: str) -> Action:
msg = f'send_msg_to_user("""{action_str}""")'
return BrowseInteractiveAction(
browser_actions=msg,
thought=action_str,
browsergym_send_msg_to_user=action_str,
)
class BrowsingActionParserBrowseInteractive(ActionParser):
"""
Parser action:
- BrowseInteractiveAction(browser_actions) - handle send message to user function call in BrowserGym
"""
def __init__(
self,
):
pass
def check_condition(self, action_str: str) -> bool:
return True
def parse(self, action_str: str) -> Action:
thought = action_str.split('```')[0].strip()
action_str = action_str.split('```')[1].strip()
msg_content = ''
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
msg_content = args[0].value
return BrowseInteractiveAction(
browser_actions=action_str,
thought=thought,
browsergym_send_msg_to_user=msg_content,
)

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import collections
import re
from warnings import warn
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)
try:
value = yaml.safe_load(message)
valid = True
retry_message = ''
except yaml.YAMLError as e:
warn(str(e), stacklevel=2)
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."
return value, valid, retry_message
def _compress_chunks(text, identifier, skip_list, split_regex='\n\n+'):
"""Compress a string by replacing redundant chunks by identifiers. Chunks are defined by the split_regex."""
text_list = re.split(split_regex, text)
text_list = [chunk.strip() for chunk in text_list]
counter = collections.Counter(text_list)
def_dict = {}
id = 0
# Store items that occur more than once in a dictionary
for item, count in counter.items():
if count > 1 and item not in skip_list and len(item) > 10:
def_dict[f'{identifier}-{id}'] = item
id += 1
# Replace redundant items with their identifiers in the text
compressed_text = '\n'.join(text_list)
for key, value in def_dict.items():
compressed_text = compressed_text.replace(value, key)
return def_dict, compressed_text
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+'
)
# Perform line-level compression, skipping any paragraph identifiers
line_dict, compressed_text = _compress_chunks(
compressed_text, '', list(def_dict.keys()), split_regex='\n+'
)
def_dict.update(line_dict)
# Create a definitions section
def_lines = ['<definitions>']
for key, value in def_dict.items():
def_lines.append(f'{key}:\n{value}')
def_lines.append('</definitions>')
definitions = '\n'.join(def_lines)
return definitions + '\n' + compressed_text
def extract_html_tags(text, keys):
"""Extract the content within HTML tags for a list of keys.
Parameters
----------
text : str
The input string containing the HTML tags.
keys : list of str
The HTML tags to extract the content from.
Returns
-------
dict
A dictionary mapping each key to a list of subset in `text` that match the key.
Notes
-----
All text and keys will be converted to lowercase before matching.
"""
content_dict = {}
# text = text.lower()
# keys = set([k.lower() for k in keys])
for key in keys:
pattern = f'<{key}>(.*?)</{key}>'
matches = re.findall(pattern, text, re.DOTALL)
if matches:
content_dict[key] = [match.strip() for match in matches]
return content_dict
class ParseError(Exception):
pass
def parse_html_tags_raise(text, keys=(), optional_keys=(), merge_multiple=False):
"""A version of parse_html_tags that raises an exception if the parsing is not successful."""
content_dict, valid, retry_message = parse_html_tags(
text, keys, optional_keys, merge_multiple=merge_multiple
)
if not valid:
raise ParseError(retry_message)
return content_dict
def parse_html_tags(text, keys=(), optional_keys=(), merge_multiple=False):
"""Satisfy the parse api, extracts 1 match per key and validates that all keys are present
Parameters
----------
text : str
The input string containing the HTML tags.
keys : list of str
The HTML tags to extract the content from.
optional_keys : list of str
The HTML tags to extract the content from, but are optional.
Returns
-------
dict
A dictionary mapping each key to subset of `text` that match the key.
bool
Whether the parsing was successful.
str
A message to be displayed to the agent if the parsing was not successful.
"""
all_keys = tuple(keys) + tuple(optional_keys)
content_dict = extract_html_tags(text, all_keys)
retry_messages = []
for key in all_keys:
if key not in content_dict:
if key not in optional_keys:
retry_messages.append(f'Missing the key <{key}> in the answer.')
else:
val = content_dict[key]
content_dict[key] = val[0]
if len(val) > 1:
if not merge_multiple:
retry_messages.append(
f'Found multiple instances of the key {key}. You should have only one of them.'
)
else:
# merge the multiple instances
content_dict[key] = '\n'.join(val)
valid = len(retry_messages) == 0
retry_message = '\n'.join(retry_messages)
return content_dict, valid, retry_message

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# 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

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from opendevin.controller.agent import Agent
from .codeact_agent import CodeActAgent
Agent.register('CodeActAgent', CodeActAgent)

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import re
from opendevin.controller.action_parser import ActionParser, ResponseParser
from opendevin.events.action import (
Action,
AgentDelegateAction,
AgentFinishAction,
CmdRunAction,
IPythonRunCellAction,
MessageAction,
)
class CodeActResponseParser(ResponseParser):
"""
Parser action:
- CmdRunAction(command) - bash command to run
- IPythonRunCellAction(code) - IPython code to run
- AgentDelegateAction(agent, inputs) - delegate action for (sub)task
- MessageAction(content) - Message action to run (e.g. ask for clarification)
- AgentFinishAction() - end the interaction
"""
def __init__(self):
# Need pay attention to the item order in self.action_parsers
super().__init__()
self.action_parsers = [
CodeActActionParserFinish(),
CodeActActionParserCmdRun(),
CodeActActionParserIPythonRunCell(),
CodeActActionParserAgentDelegate(),
]
self.default_parser = CodeActActionParserMessage()
def parse(self, response) -> Action:
action_str = self.parse_response(response)
return self.parse_action(action_str)
def parse_response(self, response) -> str:
action = response.choices[0].message.content
if action is None:
return ''
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 parse_action(self, action_str: str) -> Action:
for action_parser in self.action_parsers:
if action_parser.check_condition(action_str):
return action_parser.parse(action_str)
return self.default_parser.parse(action_str)
class CodeActActionParserFinish(ActionParser):
"""
Parser action:
- AgentFinishAction() - end the interaction
"""
def __init__(
self,
):
self.finish_command = None
def check_condition(self, action_str: str) -> bool:
self.finish_command = re.search(r'<finish>.*</finish>', action_str, re.DOTALL)
return self.finish_command is not None
def parse(self, action_str: str) -> Action:
assert (
self.finish_command is not None
), 'self.finish_command should not be None when parse is called'
thought = action_str.replace(self.finish_command.group(0), '').strip()
return AgentFinishAction(thought=thought)
class CodeActActionParserCmdRun(ActionParser):
"""
Parser action:
- CmdRunAction(command) - bash command to run
- AgentFinishAction() - end the interaction
"""
def __init__(
self,
):
self.bash_command = None
def check_condition(self, action_str: str) -> bool:
self.bash_command = re.search(
r'<execute_bash>(.*?)</execute_bash>', action_str, re.DOTALL
)
return self.bash_command is not None
def parse(self, action_str: str) -> Action:
assert (
self.bash_command is not None
), 'self.bash_command should not be None when parse is called'
thought = action_str.replace(self.bash_command.group(0), '').strip()
# a command was found
command_group = self.bash_command.group(1).strip()
if command_group.strip() == 'exit':
return AgentFinishAction()
return CmdRunAction(command=command_group, thought=thought)
class CodeActActionParserIPythonRunCell(ActionParser):
"""
Parser action:
- IPythonRunCellAction(code) - IPython code to run
"""
def __init__(
self,
):
self.python_code = None
self.jupyter_kernel_init_code: str = 'from agentskills import *'
def check_condition(self, action_str: str) -> bool:
self.python_code = re.search(
r'<execute_ipython>(.*?)</execute_ipython>', action_str, re.DOTALL
)
return self.python_code is not None
def parse(self, action_str: str) -> Action:
assert (
self.python_code is not None
), 'self.python_code should not be None when parse is called'
code_group = self.python_code.group(1).strip()
thought = action_str.replace(self.python_code.group(0), '').strip()
return IPythonRunCellAction(
code=code_group,
thought=thought,
kernel_init_code=self.jupyter_kernel_init_code,
)
class CodeActActionParserAgentDelegate(ActionParser):
"""
Parser action:
- AgentDelegateAction(agent, inputs) - delegate action for (sub)task
"""
def __init__(
self,
):
self.agent_delegate = None
def check_condition(self, action_str: str) -> bool:
self.agent_delegate = re.search(
r'<execute_browse>(.*)</execute_browse>', action_str, re.DOTALL
)
return self.agent_delegate is not None
def parse(self, action_str: str) -> Action:
assert (
self.agent_delegate is not None
), 'self.agent_delegate should not be None when parse is called'
thought = action_str.replace(self.agent_delegate.group(0), '').strip()
browse_actions = self.agent_delegate.group(1).strip()
task = f'{thought}. I should start with: {browse_actions}'
return AgentDelegateAction(agent='BrowsingAgent', inputs={'task': task})
class CodeActActionParserMessage(ActionParser):
"""
Parser action:
- MessageAction(content) - Message action to run (e.g. ask for clarification)
"""
def __init__(
self,
):
pass
def check_condition(self, action_str: str) -> bool:
# We assume the LLM is GOOD enough that when it returns pure natural language
# it wants to talk to the user
return True
def parse(self, action_str: str) -> Action:
return MessageAction(content=action_str, wait_for_response=True)

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from agenthub.codeact_agent.action_parser import CodeActResponseParser
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.core.config import config
from opendevin.events.action import (
Action,
AgentDelegateAction,
AgentFinishAction,
CmdRunAction,
IPythonRunCellAction,
MessageAction,
)
from opendevin.events.observation import (
AgentDelegateObservation,
CmdOutputObservation,
IPythonRunCellObservation,
)
from opendevin.events.serialization.event import truncate_content
from opendevin.llm.llm import LLM
from opendevin.runtime.plugins import (
AgentSkillsRequirement,
JupyterRequirement,
PluginRequirement,
)
from opendevin.runtime.tools import RuntimeTool
ENABLE_GITHUB = True
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, AgentDelegateAction):
return f'{action.thought}\n<execute_browse>\n{action.inputs["task"]}\n</execute_browse>'
elif isinstance(action, MessageAction):
return action.content
return ''
def get_action_message(action: Action) -> dict[str, str] | None:
if (
isinstance(action, AgentDelegateAction)
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:
max_message_chars = config.get_llm_config_from_agent(
'CodeActAgent'
).max_message_chars
if isinstance(obs, CmdOutputObservation):
content = 'OBSERVATION:\n' + truncate_content(obs.content, max_message_chars)
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_content(content, max_message_chars)
return {'role': 'user', 'content': content}
elif isinstance(obs, AgentDelegateObservation):
content = 'OBSERVATION:\n' + truncate_content(
str(obs.outputs), max_message_chars
)
return {'role': 'user', 'content': content}
return None
# 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 = '1.8'
"""
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 needs to be initialized before Jupyter for Jupyter to use those functions.
AgentSkillsRequirement(),
JupyterRequirement(),
]
runtime_tools: list[RuntimeTool] = [RuntimeTool.BROWSER]
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!"
action_parser = CodeActResponseParser()
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
Returns:
- CmdRunAction(command) - bash command to run
- IPythonRunCellAction(code) - IPython code to run
- AgentDelegateAction(agent, inputs) - delegate action for (sub)task
- MessageAction(content) - Message action to run (e.g. ask for clarification)
- AgentFinishAction() - end the interaction
"""
# if we're done, go back
latest_user_message = state.history.get_last_user_message()
if latest_user_message and latest_user_message.strip() == '/exit':
return AgentFinishAction()
# prepare what we want to send to the LLM
messages: list[dict[str, str]] = self._get_messages(state)
response = self.llm.completion(
messages=messages,
stop=[
'</execute_ipython>',
'</execute_bash>',
'</execute_browse>',
],
temperature=0.0,
)
return self.action_parser.parse(response)
def _get_messages(self, state: State) -> list[dict[str, str]]:
messages = [
{'role': 'system', 'content': self.system_message},
{'role': 'user', 'content': self.in_context_example},
]
for event in state.history.get_events():
# create a regular message from an event
message = (
get_action_message(event)
if isinstance(event, Action)
else get_observation_message(event)
)
# add regular message
if message:
messages.append(message)
# the latest user message is important:
# we want to remind the agent of the environment constraints
latest_user_message = next(
(m for m in reversed(messages) if m['role'] == 'user'), None
)
# add a reminder to the prompt
if latest_user_message:
latest_user_message['content'] += (
f'\n\nENVIRONMENT REMINDER: You have {state.max_iterations - state.iteration} turns left to complete the task. When finished reply with <finish></finish>'
)
return messages

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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_by_replace`, `append_file` and `insert_content_at_line` FUNCTIONS REQUIRE 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 use an interactive Python (Jupyter Notebook) environment, executing code with <execute_ipython>.
<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>.
Important, however: do not run interactive commands. You do not have access to stdin.
Also, you need to handle commands that may run indefinitely and not return a result. For such cases, you should redirect the output to a file and run the command in the background to avoid blocking the execution.
For example, to run a Python script that might run indefinitely without returning immediately, you can use the following format: <execute_bash> python3 app.py > server.log 2>&1 & </execute_bash>
Also, if a command execution result saying like: Command: "npm start" timed out. Sending SIGINT to the process, you should also retry with running the command in the background.
"""
BROWSING_PREFIX = """The assistant can browse the Internet with <execute_browse> and </execute_browse>.
For example, <execute_browse> Tell me the usa's president using google search </execute_browse>.
Or <execute_browse> Tell me what is in http://example.com </execute_browse>.
"""
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 interact with GitHub, use the $GITHUB_TOKEN environment variable.
For example, to push a branch `my_branch` to the GitHub repo `owner/repo`:
<execute_bash> git push https://$GITHUB_TOKEN@github.com/owner/repo.git my_branch </execute_bash>
If $GITHUB_TOKEN is not set, ask the user to set it."""
SYSTEM_SUFFIX = """Responses should be concise.
The assistant should attempt fewer things at a time instead of putting too many commands OR too much code in one "execute" block.
Include ONLY ONE <execute_ipython>, <execute_bash>, or <execute_browse> per response, unless the assistant is finished with the task or needs more input or action from the user in order to proceed.
If the assistant is finished with the task you MUST include <finish></finish> in your response.
IMPORTANT: Execute code using <execute_ipython>, <execute_bash>, or <execute_browse> whenever possible.
When handling files, try to use full paths and pwd to avoid errors.
"""
# ======= EXAMPLE MESSAGE =======
EXAMPLES = """
--- START OF EXAMPLE ---
USER: Create a list of numbers from 1 to 10, and display them in a web page at port 5000.
ASSISTANT:
Sure! Let me create a Python file `app.py`:
<execute_ipython>
create_file('app.py')
</execute_ipython>
USER:
OBSERVATION:
[File: /workspace/app.py (1 lines total)]
(this is the beginning of the file)
1|
(this is the end of the file)
[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)\"\"\"
insert_content_at_line(
'app.py',
1,
EDITED_CODE,
)
</execute_ipython>
USER:
OBSERVATION:
(this is the beginning of the file)
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)
(this is the end of the file)
[File updated (edited at line 1). 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>
Get the content on "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)]
(this is the beginning of the file)
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)
(this is the end of the file)
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_by_replace(
'app.py',
to_replace=" return str(numbers)",
new_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)]
(this is the beginning of the file)
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)
(this is the end of the file)
[File updated (edited at line 7). Please review the changes and make sure they are correct (correct indentation, no duplicate lines, etc). Edit the file again if necessary.]
ASSISTANT:
Running the updated file:
<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. Let me know if you have any further requests!
<finish></finish>
--- END OF EXAMPLE ---
"""
INVALID_INPUT_MESSAGE = (
"I don't understand your input. \n"
'For bash commands, use <execute_bash> YOUR_COMMAND </execute_bash>.\n'
'For Python code, use <execute_ipython> YOUR_CODE </execute_ipython>.\n'
'For browsing, use <execute_browse> YOUR_COMMAND </execute_browse>.\n'
)

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# 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 OpenDevin.
Its intended use is **solving GitHub issues**.
It removes web-browsing and GitHub capability from the original CodeAct agent to avoid confusion to the agent.

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from opendevin.controller.agent import Agent
from .codeact_swe_agent import CodeActSWEAgent
Agent.register('CodeActSWEAgent', CodeActSWEAgent)

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import re
from opendevin.controller.action_parser import ActionParser
from opendevin.events.action import (
Action,
AgentFinishAction,
CmdRunAction,
IPythonRunCellAction,
MessageAction,
)
class CodeActSWEActionParserFinish(ActionParser):
"""
Parser action:
- AgentFinishAction() - end the interaction
"""
def __init__(
self,
):
self.finish_command = None
def check_condition(self, action_str: str) -> bool:
self.finish_command = re.search(r'<finish>.*</finish>', action_str, re.DOTALL)
return self.finish_command is not None
def parse(self, action_str: str) -> Action:
assert (
self.finish_command is not None
), 'self.finish_command should not be None when parse is called'
thought = action_str.replace(self.finish_command.group(0), '').strip()
return AgentFinishAction(thought=thought)
class CodeActSWEActionParserCmdRun(ActionParser):
"""
Parser action:
- CmdRunAction(command) - bash command to run
- AgentFinishAction() - end the interaction
"""
def __init__(
self,
):
self.bash_command = None
def check_condition(self, action_str: str) -> bool:
self.bash_command = re.search(
r'<execute_bash>(.*?)</execute_bash>', action_str, re.DOTALL
)
return self.bash_command is not None
def parse(self, action_str: str) -> Action:
assert (
self.bash_command is not None
), 'self.bash_command should not be None when parse is called'
thought = action_str.replace(self.bash_command.group(0), '').strip()
# a command was found
command_group = self.bash_command.group(1).strip()
if command_group.strip() == 'exit':
return AgentFinishAction()
return CmdRunAction(command=command_group, thought=thought)
class CodeActSWEActionParserIPythonRunCell(ActionParser):
"""
Parser action:
- IPythonRunCellAction(code) - IPython code to run
"""
def __init__(
self,
):
self.python_code = None
self.jupyter_kernel_init_code: str = 'from agentskills import *'
def check_condition(self, action_str: str) -> bool:
self.python_code = re.search(
r'<execute_ipython>(.*?)</execute_ipython>', action_str, re.DOTALL
)
return self.python_code is not None
def parse(self, action_str: str) -> Action:
assert (
self.python_code is not None
), 'self.python_code should not be None when parse is called'
code_group = self.python_code.group(1).strip()
thought = action_str.replace(self.python_code.group(0), '').strip()
return IPythonRunCellAction(
code=code_group,
thought=thought,
kernel_init_code=self.jupyter_kernel_init_code,
)
class CodeActSWEActionParserMessage(ActionParser):
"""
Parser action:
- MessageAction(content) - Message action to run (e.g. ask for clarification)
"""
def __init__(
self,
):
pass
def check_condition(self, action_str: str) -> bool:
# We assume the LLM is GOOD enough that when it returns pure natural language
# it wants to talk to the user
return True
def parse(self, action_str: str) -> Action:
return MessageAction(content=action_str, wait_for_response=True)

View File

@@ -0,0 +1,195 @@
from agenthub.codeact_swe_agent.prompt import (
COMMAND_DOCS,
SWE_EXAMPLE,
SYSTEM_PREFIX,
SYSTEM_SUFFIX,
)
from agenthub.codeact_swe_agent.response_parser import CodeActSWEResponseParser
from opendevin.controller.agent import Agent
from opendevin.controller.state.state import State
from opendevin.core.config import config
from opendevin.events.action import (
Action,
AgentFinishAction,
CmdRunAction,
IPythonRunCellAction,
MessageAction,
)
from opendevin.events.observation import (
CmdOutputObservation,
IPythonRunCellObservation,
)
from opendevin.events.serialization.event import truncate_content
from opendevin.llm.llm import LLM
from opendevin.runtime.plugins import (
AgentSkillsRequirement,
JupyterRequirement,
PluginRequirement,
)
from opendevin.runtime.tools import RuntimeTool
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, MessageAction):
return action.content
return ''
def get_action_message(action: Action) -> dict[str, str] | None:
if (
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:
max_message_chars = config.get_llm_config_from_agent(
'CodeActSWEAgent'
).max_message_chars
if isinstance(obs, CmdOutputObservation):
content = 'OBSERVATION:\n' + truncate_content(obs.content, max_message_chars)
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_content(content, max_message_chars)
return {'role': 'user', 'content': content}
return None
def get_system_message() -> str:
return f'{SYSTEM_PREFIX}\n\n{COMMAND_DOCS}\n\n{SYSTEM_SUFFIX}'
def get_in_context_example() -> str:
return SWE_EXAMPLE
class CodeActSWEAgent(Agent):
VERSION = '1.6'
"""
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 needs to be initialized before Jupyter for Jupyter to use those functions.
AgentSkillsRequirement(),
JupyterRequirement(),
]
runtime_tools: list[RuntimeTool] = []
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!"
response_parser = CodeActSWEResponseParser()
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
- MessageAction(content) - Message action to run (e.g. ask for clarification)
- AgentFinishAction() - end the interaction
"""
# if we're done, go back
latest_user_message = state.history.get_last_user_message()
if latest_user_message and latest_user_message.strip() == '/exit':
return AgentFinishAction()
# prepare what we want to send to the LLM
messages: list[dict[str, str]] = self._get_messages(state)
response = self.llm.completion(
messages=messages,
stop=[
'</execute_ipython>',
'</execute_bash>',
],
temperature=0.0,
)
return self.response_parser.parse(response)
def _get_messages(self, state: State) -> list[dict[str, str]]:
messages = [
{'role': 'system', 'content': self.system_message},
{'role': 'user', 'content': self.in_context_example},
]
for event in state.history.get_events():
# create a regular message from an event
message = (
get_action_message(event)
if isinstance(event, Action)
else get_observation_message(event)
)
# add regular message
if message:
messages.append(message)
# the latest user message is important:
# we want to remind the agent of the environment constraints
latest_user_message = next(
(m for m in reversed(messages) if m['role'] == 'user'), None
)
# add a reminder to the prompt
if latest_user_message:
latest_user_message['content'] += (
f'\n\nENVIRONMENT REMINDER: You have {state.max_iterations - state.iteration} turns left to complete the task.'
)
return messages

View File

@@ -0,0 +1,455 @@
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>.
"""
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.
"""
SWE_EXAMPLE = """
--- START OF EXAMPLE ---
USER: We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
TimeDelta serialization precision
Hi there!
I just found quite strange behaviour of `TimeDelta` field serialization
```python3
from marshmallow.fields import TimeDelta
from datetime import timedelta
td_field = TimeDelta(precision="milliseconds")
obj = dict()
obj["td_field"] = timedelta(milliseconds=345)
print(td_field.serialize("td_field", obj))
```
Output of this snippet is `344`, but it seems that `345` is correct.
Looks like a rounding issue here: https://github.com/marshmallow-code/marshmallow/blob/dev/src/marshmallow/fields.py#L1474
--- END ISSUE ---
[Current directory: /workspace/marshmallow-code__marshmallow]
ASSISTANT:
Let's first start by reproducing the results of the issue. The issue includes some example code for reproduction, which we can use. We'll create a new file called `reproduce.py` and paste the example code into it.
<execute_ipython>
create_file('/workspace/marshmallow-code__marshmallow/reproduce.py')
</execute_ipython>
USER:
OBSERVATION:
[File: /workspace/marshmallow-code__marshmallow/reproduce.py (1 lines total)]
1|
[File /workspace/marshmallow-code__marshmallow/reproduce.py created.]
ASSISTANT:
Now let's paste in the example code from the issue.
<execute_ipython>
EDITED_CODE = \"\"\"from marshmallow.fields import TimeDelta
from datetime import timedelta
td_field = TimeDelta(precision="milliseconds")
obj = dict()
obj["td_field"] = timedelta(milliseconds=345)
print(td_field.serialize("td_field", obj))
\"\"\"
edit_file(start=1, end=1, content=EDITED_CODE)
</execute_ipython>
USER:
OBSERVATION:
[File: /workspace/marshmallow-code__marshmallow/reproduce.py (9 lines total)]
1|from marshmallow.fields import TimeDelta
2|from datetime import timedelta
3|
4|td_field = TimeDelta(precision="milliseconds")
5|
6|obj = dict()
7|obj["td_field"] = timedelta(milliseconds=345)
8|
9|print(td_field.serialize("td_field", obj))
[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:
Now let's run the code to see if we see the same output as the issue.
<execute_bash>
python reproduce.py
</execute_bash>
USER:
OBSERVATION:
344
ASSISTANT:
We are indeed seeing the same output as the issue. The issue suggests that we should look at line 1474 of the `fields.py` file to see if there is a rounding issue. Let's open the `fields.py` file and navigate to line 1474 to see the relevant code. First we should find the `fields.py` file in the repository. It is likely to be in the `src/marshmallow` directory, but we should check to be sure.
<execute_bash>
ls -F
</execute_bash>
USER:
OBSERVATION:
AUTHORS.rst
CHANGELOG.rst
CODE_OF_CONDUCT.md
CONTRIBUTING.rst
LICENSE
MANIFEST.in
NOTICE
README.rst
RELEASING.md
azure-pipelines.yml
docs/
examples/
performance/
pyproject.toml
reproduce.py
setup.cfg
setup.py
src/
tests/
tox.ini
ASSISTANT:
It looks like the `src` directory is present, which suggests that the `fields.py` file is likely to be in the `src` directory. Let's use find_file to see where it is.
<execute_ipython>
find_file("fields.py", "/workspace/marshmallow-code__marshmallow/src")
</execute_ipython>
USER:
OBSERVATION:
[Found 1 matches for "fields.py" in /workspace/marshmallow-code__marshmallow/src]
/workspace/marshmallow-code__marshmallow/src/marshmallow/fields.py
ASSISTANT:
It looks like the `fields.py` file is present in the `./src/marshmallow/` directory. The issue also points to a specific URL with line number 1474. We should navigate to that line in fields.py to see the relevant code for the `TimeDelta` serialization.
<execute_ipython>
open_file("/workspace/marshmallow-code__marshmallow/src/marshmallow/fields.py", 1474)
</execute_ipython>
USER:
OBSERVATION:
[File: /workspace/marshmallow-code__marshmallow/src/marshmallow/fields.py (1997 lines total)]
(1458 more lines above)
1459| self.WEEKS,
1460| )
1461|
1462| if precision not in units:
1463| msg = 'The precision must be {} or "{}".'.format(
1464| ", ".join([f'"{each}"' for each in units[:-1]]), units[-1]
1465| )
1466| raise ValueError(msg)
1467|
1468| self.precision = precision
1469| super().__init__(**kwargs)
1470|
1471| def _serialize(self, value, attr, obj, **kwargs):
1472| if value is None:
1473| return None
1474| base_unit = dt.timedelta(**{self.precision: 1})
1475| return int(value.total_seconds() / base_unit.total_seconds())
1476|
1477| def _deserialize(self, value, attr, data, **kwargs):
1478| try:
1479| value = int(value)
1480| except (TypeError, ValueError) as error:
1481| raise self.make_error("invalid") from error
1482|
1483| kwargs = {self.precision: value}
1484|
1485| try:
1486| return dt.timedelta(**kwargs)
1487| except OverflowError as error:
1488| raise self.make_error("invalid") from error
1489|
1490|
1491|class Mapping(Field):
1492| \"\"\"An abstract class for objects with key-value pairs.
1493|
1494| :param keys: A field class or instance for dict keys.
1495| :param values: A field class or instance for dict values.
1496| :param kwargs: The same keyword arguments that :class:`Field` receives.
1497|
1498| .. note::
1499| When the structure of nested data is not known, you may omit the
1500| `keys` and `values` arguments to prevent content validation.
1501|
1502| .. versionadded:: 3.0.0rc4
1503| \"\"\"
1504|
1505| mapping_type = dict
1506|
1507| #: Default error messages.
1508| default_error_messages = {"invalid": "Not a valid mapping type."}
1509|
1510| def __init__(
1511| self,
1512| keys: typing.Optional[typing.Union[Field, type]] = None,
1513| values: typing.Optional[typing.Union[Field, type]] = None,
1514| **kwargs,
1515| ):
1516| super().__init__(**kwargs)
1517| if keys is None:
1518| self.key_field = None
1519| else:
1520| try:
1521| self.key_field = resolve_field_instance(keys)
1522| except FieldInstanceResolutionError as error:
1523| raise ValueError(
1524| '"keys" must be a subclass or instance of '
1525| "marshmallow.base.FieldABC."
1526| ) from error
1527|
1528| if values is None:
1529| self.value_field = None
1530| else:
1531| try:
1532| self.value_field = resolve_field_instance(values)
1533| except FieldInstanceResolutionError as error:
1534| raise ValueError(
1535| '"values" must be a subclass or instance of '
1536| "marshmallow.base.FieldABC."
1537| ) from error
1538| if isinstance(self.value_field, Nested):
1539| self.only = self.value_field.only
1540| self.exclude = self.value_field.exclude
1541|
1542| def _bind_to_schema(self, field_name, schema):
1543| super()._bind_to_schema(field_name, schema)
1544| if self.value_field:
1545| self.value_field = copy.deepcopy(self.value_field)
1546| self.value_field._bind_to_schema(field_name, self)
1547| if isinstance(self.value_field, Nested):
1548| self.value_field.only = self.only
1549| self.value_field.exclude = self.exclude
1550| if self.key_field:
1551| self.key_field = copy.deepcopy(self.key_field)
1552| self.key_field._bind_to_schema(field_name, self)
1553|
1554| def _serialize(self, value, attr, obj, **kwargs):
1555| if value is None:
1556| return None
1557| if not self.value_field and not self.key_field:
1558| return self.mapping_type(value)
(439 more lines below)
ASSISTANT:
We are now looking at the relevant section of the `fields.py` file where the `TimeDelta` serialization occurs. The issue suggests that there is a rounding problem near line 1474. The current implementation uses integer division, which truncates the decimal part and can lead to incorrect rounding on line 1475. To fix this issue, we should ensure that the division results in a float, and then round the result to the nearest integer before converting it to an int. This should preserve the milliseconds precision as expected. Let's make the necessary edit to the code.
<execute_ipython>
edit_file(start=1475, end=1475, content="return int(round(value.total_seconds() / base_unit.total_seconds())) # round to nearest int")
</execute_ipython>
USER:
OBSERVATION:
[Your proposed edit has introduced new syntax error(s). Please understand the errors and retry your edit command.]
ERRORS:
- E999 IndentationError: unexpected indent
[This is how your edit would have looked if applied]
-------------------------------------------------
[File: /marshmallow-code__marshmallow/src/marshmallow/fields.py (1997 lines total)]
(1468 more lines above)
1469| super().__init__(**kwargs)
1470|
1471| def _serialize(self, value, attr, obj, **kwargs):
1472| if value is None:
1473| return None
1474| base_unit = dt.timedelta(**{self.precision: 1})
1475|return int(round(value.total_seconds() / base_unit.total_seconds())) # round to nearest int
1476|
1477| def _deserialize(self, value, attr, data, **kwargs):
1478| try:
1479| value = int(value)
(518 more lines below)
-------------------------------------------------
[This is the original code before your edit]
-------------------------------------------------
[File: /marshmallow-code__marshmallow/src/marshmallow/fields.py (1997 lines total)]
(1469 more lines above)
1470|
1471| def _serialize(self, value, attr, obj, **kwargs):
1472| if value is None:
1473| return None
1474| base_unit = dt.timedelta(**{self.precision: 1})
1475| return int(value.total_seconds() / base_unit.total_seconds())
1476|
1477| def _deserialize(self, value, attr, data, **kwargs):
1478| try:
1479| value = int(value)
1480| except (TypeError, ValueError) as error:
(517 more lines below)
-------------------------------------------------
Your changes have NOT been applied. Please fix your edit command and try again.
You either need to 1) Specify the correct start/end line arguments or 2) Correct your edit code.
DO NOT re-run the same failed edit command. Running it again will lead to the same error.
ASSISTANT:
My edit command did not use the proper indentation, I will fix my syntax in this follow up edit command.
<execute_ipython>
EDITED_CODE=" return int(round(value.total_seconds() / base_unit.total_seconds())) # round to nearest int"
edit_file(start=1475, end=1475, content=EDITED_CODE)
</execute_ipython>
USER:
OBSERVATION:
[File: /marshmallow-code__marshmallow/src/marshmallow/fields.py (1997 lines total)]
(1424 more lines above)
1425|
1426| :param precision: Influences how the integer is interpreted during
1427| (de)serialization. Must be 'days', 'seconds', 'microseconds',
1428| 'milliseconds', 'minutes', 'hours' or 'weeks'.
1429| :param kwargs: The same keyword arguments that :class:`Field` receives.
1430|
1431| .. versionchanged:: 2.0.0
1432| Always serializes to an integer value to avoid rounding errors.
1433| Add `precision` parameter.
1434| \"\"\"
1435|
1436| DAYS = "days"
1437| SECONDS = "seconds"
1438| MICROSECONDS = "microseconds"
1439| MILLISECONDS = "milliseconds"
1440| MINUTES = "minutes"
1441| HOURS = "hours"
1442| WEEKS = "weeks"
1443|
1444| #: Default error messages.
1445| default_error_messages = {
1446| "invalid": "Not a valid period of time.",
1447| "format": "{input!r} cannot be formatted as a timedelta.",
1448| }
1449|
1450| def __init__(self, precision: str = SECONDS, **kwargs):
1451| precision = precision.lower()
1452| units = (
1453| self.DAYS,
1454| self.SECONDS,
1455| self.MICROSECONDS,
1456| self.MILLISECONDS,
1457| self.MINUTES,
1458| self.HOURS,
1459| self.WEEKS,
1460| )
1461|
1462| if precision not in units:
1463| msg = 'The precision must be {} or "{}".'.format(
1464| ", ".join([f'"{each}"' for each in units[:-1]]), units[-1]
1465| )
1466| raise ValueError(msg)
1467|
1468| self.precision = precision
1469| super().__init__(**kwargs)
1470|
1471| def _serialize(self, value, attr, obj, **kwargs):
1472| if value is None:
1473| return None
1474| base_unit = dt.timedelta(**{self.precision: 1})
1475| return int(round(value.total_seconds() / base_unit.total_seconds())) # round to nearest int
1476|
1477| def _deserialize(self, value, attr, data, **kwargs):
1478| try:
1479| value = int(value)
1480| except (TypeError, ValueError) as error:
1481| raise self.make_error("invalid") from error
1482|
1483| kwargs = {self.precision: value}
1484|
1485| try:
1486| return dt.timedelta(**kwargs)
1487| except OverflowError as error:
1488| raise self.make_error("invalid") from error
1489|
1490|
1491|class Mapping(Field):
1492| \"\"\"An abstract class for objects with key-value pairs.
1493|
1494| :param keys: A field class or instance for dict keys.
1495| :param values: A field class or instance for dict values.
1496| :param kwargs: The same keyword arguments that :class:`Field` receives.
1497|
1498| .. note::
1499| When the structure of nested data is not known, you may omit the
1500| `keys` and `values` arguments to prevent content validation.
1501|
1502| .. versionadded:: 3.0.0rc4
1503| \"\"\"
1504|
1505| mapping_type = dict
1506|
1507| #: Default error messages.
1508| default_error_messages = {"invalid": "Not a valid mapping type."}
1509|
1510| def __init__(
1511| self,
1512| keys: typing.Optional[typing.Union[Field, type]] = None,
1513| values: typing.Optional[typing.Union[Field, type]] = None,
1514| **kwargs,
1515| ):
1516| super().__init__(**kwargs)
1517| if keys is None:
1518| self.key_field = None
1519| else:
1520| try:
1521| self.key_field = resolve_field_instance(keys)
1522| except FieldInstanceResolutionError as error:
1523| raise ValueError(
1524| '"keys" must be a subclass or instance of '
(473 more lines below)
[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 code has been updated to use the `round` function, which should fix the rounding issue. Before submitting the changes, it would be prudent to run the reproduce.py code again to ensure that this change has the desired effect. I see that "Current directory" is still `/marshmallow-code__marshmallow`, so we can just run `reproduce.py` directly.
<execute_bash>
python reproduce.py
</execute_bash>
USER:
OBSERVATION:
345
ASSISTANT:
The output has changed from 344 to 345, which suggests that the rounding issue has been fixed. Let's remove the reproduce.py file since it is no longer needed.
<execute_bash>
rm reproduce.py
</execute_bash>
USER:
OBSERVATION:
ASSISTANT:
rm doesn't have any output when it deletes successfully, so that must have worked. Now that we have fixed the issue, we can exit the current task.
<execute_bash>
exit
</execute_bash>
--- END OF EXAMPLE ---
"""

View File

@@ -0,0 +1,47 @@
from agenthub.codeact_swe_agent.action_parser import (
CodeActSWEActionParserCmdRun,
CodeActSWEActionParserFinish,
CodeActSWEActionParserIPythonRunCell,
CodeActSWEActionParserMessage,
)
from opendevin.controller.action_parser import ResponseParser
from opendevin.events.action import Action
class CodeActSWEResponseParser(ResponseParser):
"""
Parser action:
- CmdRunAction(command) - bash command to run
- IPythonRunCellAction(code) - IPython code to run
- MessageAction(content) - Message action to run (e.g. ask for clarification)
- AgentFinishAction() - end the interaction
"""
def __init__(self):
# Need pay attention to the item order in self.action_parsers
super().__init__()
self.action_parsers = [
CodeActSWEActionParserFinish(),
CodeActSWEActionParserCmdRun(),
CodeActSWEActionParserIPythonRunCell(),
]
self.default_parser = CodeActSWEActionParserMessage()
def parse(self, response: str) -> Action:
action_str = self.parse_response(response)
return self.parse_action(action_str)
def parse_response(self, response) -> str:
action = response.choices[0].message.content
if action is None:
return ''
for lang in ['bash', 'ipython']:
if f'<execute_{lang}>' in action and f'</execute_{lang}>' not in action:
action += f'</execute_{lang}>'
return action
def parse_action(self, action_str: str) -> Action:
for action_parser in self.action_parsers:
if action_parser.check_condition(action_str):
return action_parser.parse(action_str)
return self.default_parser.parse(action_str)

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from opendevin.controller.agent import Agent
from .agent import DelegatorAgent
Agent.register('DelegatorAgent', DelegatorAgent)

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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.
"""
current_delegate: str = ''
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)
def step(self, state: State) -> Action:
"""
Checks to see if current step is completed, returns AgentFinishAction if True.
Otherwise, delegates the task to the next agent in the pipeline.
Parameters:
- state (State): The current state given the previous actions and observations
Returns:
- AgentFinishAction: If the last state was 'completed', 'verified', or 'abandoned'
- AgentDelegateAction: The next agent to delegate the task to
"""
if self.current_delegate == '':
self.current_delegate = 'study'
task = state.get_current_user_intent()
return AgentDelegateAction(
agent='StudyRepoForTaskAgent', inputs={'task': task}
)
# last observation in history should be from the delegate
last_observation = state.history.get_last_observation()
if not isinstance(last_observation, AgentDelegateObservation):
raise Exception('Last observation is not an AgentDelegateObservation')
goal = state.get_current_user_intent()
if self.current_delegate == 'study':
self.current_delegate = 'coder'
return AgentDelegateAction(
agent='CoderAgent',
inputs={
'task': goal,
'summary': last_observation.outputs['summary'],
},
)
elif self.current_delegate == 'coder':
self.current_delegate = 'verifier'
return AgentDelegateAction(
agent='VerifierAgent',
inputs={
'task': goal,
},
)
elif self.current_delegate == 'verifier':
if (
'completed' in last_observation.outputs
and last_observation.outputs['completed']
):
return AgentFinishAction()
else:
self.current_delegate = 'coder'
return AgentDelegateAction(
agent='CoderAgent',
inputs={
'task': goal,
'summary': last_observation.outputs['summary'],
},
)
else:
raise Exception('Invalid delegate state')

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from opendevin.controller.agent import Agent
from .agent import DummyAgent
Agent.register('DummyAgent', DummyAgent)

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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,
AgentRejectAction,
BrowseInteractiveAction,
BrowseURLAction,
CmdRunAction,
FileReadAction,
FileWriteAction,
MessageAction,
ModifyTaskAction,
)
from opendevin.events.observation import (
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
* Browser not working
"""
ActionObs = TypedDict(
'ActionObs', {'action': Action, 'observations': list[Observation]}
)
class DummyAgent(Agent):
VERSION = '1.0'
"""
The DummyAgent is used for e2e testing. It just sends the same set of actions deterministically,
without making any LLM calls.
"""
def __init__(self, llm: LLM):
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': 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]
# a step is (action, observations list)
if 'observations' in prev_step:
# one obs, at most
expected_observations = prev_step['observations']
# check if the history matches the expected observations
hist_events = state.history.get_last_events(len(expected_observations))
for i in range(len(expected_observations)):
hist_obs = event_to_dict(hist_events[i])
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'] = ''
assert (
hist_obs == expected_obs
), f'Expected observation {expected_obs}, got {hist_obs}'
return self.steps[state.iteration]['action']

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# GPTSwarm Framework
## Introduction
This folder implements the GPTSwarm ([paper](https://arxiv.org/abs/2402.01030), [Original Repo](https://github.com/metauto-ai/GPTSwarm)). For more details, please see paper.
## Reference
```
@article{zhuge2024language,
title={Language Agents as Optimizable Graphs},
author={Zhuge, Mingchen and Wang, Wenyi and Kirsch, Louis and Faccio, Francesco and Khizbullin, Dmitrii and Schmidhuber, Jurgen},
journal={arXiv preprint arXiv:2402.16823},
year={2024}
}
```

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from opendevin.controller.agent import Agent
from .gptswarm_agent import GPTSwarm
Agent.register('GPTSwarmAgent', GPTSwarm)

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import asyncio
import dataclasses
from copy import deepcopy
from typing import Any, Dict, List, Literal
from agenthub.gptswarm_agent.gptswarm_graph import AssistantGraph
from agenthub.gptswarm_agent.prompt import GPTSwarmPromptSet
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
from opendevin.llm.llm import LLM
ENABLE_GITHUB = True
OPENAI_API_KEY = 'sk-proj-****' # TODO: get from environment or config
MessageRole = Literal['system', 'user', 'assistant']
@dataclasses.dataclass()
class Message:
role: MessageRole
content: str
class GPTSwarm(Agent):
VERSION = '1.0'
"""
This is simple revision of GPTSwarm which serve as an assistant agent.
GPTSwarm Paper: https://arxiv.org/abs/2402.16823 (ICML 2024, Oral Presentation)
GPTSwarm Code: https://github.com/metauto-ai/GPTSwarm
"""
def __init__(
self,
llm: LLM,
model_name: str,
) -> None:
"""
Initializes a new instance of the GPTSwarm class.
Parameters:
- llm (LLM): The llm to be used by this agent
"""
super().__init__(llm)
self.api_key = OPENAI_API_KEY
self.llm = LLM(model=model_name, api_key=self.api_key)
self.graph = AssistantGraph(domain='gaia', model_name=model_name)
self.prompt_set = GPTSwarmPromptSet()
def reset(self) -> None:
"""
Resets the GPTSwarm Agent.
"""
super().reset()
def step(self, state: State) -> Action:
"""
# TODO: It is stateless now. Find a way to make it stateful.
# NOTE: For the AI assistant, state-based design may introduce more uncertainties.
"""
raise NotImplementedError
async def swarm_run(self, inputs: List[Dict[str, Any]], num_agents=3) -> List[str]:
"""
Run the `run` method of this agent concurrently for `num_agents` times.
# NOTE: This is just a simple self-consistency.
# TODO: should follow original GPTSwarm's graph design to revise.
"""
async def run_single_agent(index):
try:
result = await asyncio.wait_for(self.run(inputs=inputs), timeout=200)
print('-----------------------------------')
print(f'No. {index} Agent complete task..')
logger.info(result[0])
print('-----------------------------------')
return result[0]
except asyncio.TimeoutError:
print(f'No. {index} Agent timed out.')
return None
except Exception as e:
print(f'No. {index} Agent resulted in an error: {e}')
return None
# Create a list of tasks to run concurrently
tasks = [run_single_agent(i) for i in range(num_agents)]
# Run all tasks concurrently and gather the results
agent_answers = await asyncio.gather(*tasks)
# Filter out None results (from timeouts or errors)
agent_answers = [answer for answer in agent_answers if answer is not None]
task = inputs[0]['task']
prompt = self.prompt_set.get_self_consistency(
question=task,
answers=agent_answers,
constraint=self.prompt_set.get_constraint(),
)
messages = [
Message(role='system', content=f'You are a {self.prompt_set.get_role()}.'),
Message(role='user', content=prompt),
]
swarm_ans = self.llm.completion(
messages=[{'role': msg.role, 'content': msg.content} for msg in messages]
)
swarm_ans = swarm_ans.choices[0].message.content
return [swarm_ans]
async def run(
self,
inputs: List[Dict[str, Any]],
max_tries: int = 3,
max_time: int = 600,
return_all_outputs: bool = False,
) -> List[Any]:
def is_node_useful(node):
if node in self.graph.output_nodes:
return True
for successor in node.successors:
if is_node_useful(successor):
return True
return False
useful_node_ids = [
node_id
for node_id, node in self.graph.nodes.items()
if is_node_useful(node)
]
in_degree = {
node_id: len(self.graph.nodes[node_id].predecessors)
for node_id in useful_node_ids
}
zero_in_degree_queue = [
node_id
for node_id, deg in in_degree.items()
if deg == 0 and node_id in useful_node_ids
]
for i, input_node in enumerate(self.graph.input_nodes):
node_input = deepcopy(inputs)
input_node.inputs = [node_input]
while zero_in_degree_queue:
current_node_id = zero_in_degree_queue.pop(0)
current_node = self.graph.nodes[current_node_id]
tries = 0
while tries < max_tries:
try:
await asyncio.wait_for(
self.graph.nodes[current_node_id].execute(), timeout=max_time
)
# TODO: make GPTSwarm stateful in OpenDevin.
# State.inputs = self.graph.nodes[current_node_id].inputs
# State.outputs = self.graph.nodes[current_node_id].outputs
# self.step(State)
except asyncio.TimeoutError:
print(
f'Node {current_node_id} execution timed out, retrying {tries + 1} out of {max_tries}...'
)
except Exception as e:
print(f'Error during execution of node {current_node_id}: {e}')
break
tries += 1
for successor in current_node.successors:
if successor.id in useful_node_ids:
in_degree[successor.id] -= 1
if in_degree[successor.id] == 0:
zero_in_degree_queue.append(successor.id)
final_answers = []
for output_node in self.graph.output_nodes:
output_messages = output_node.outputs
if len(output_messages) > 0 and not return_all_outputs:
final_answer = output_messages[-1].get('output', output_messages[-1])
final_answers.append(final_answer)
else:
for output_message in output_messages:
final_answer = output_message.get('output', output_message)
final_answers.append(final_answer)
if len(final_answers) == 0:
final_answers.append('No answer since there are no inputs provided')
return final_answers
def search_memory(self, query: str) -> list[str]:
raise NotImplementedError('Implement this abstract method')

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import ast
import asyncio
import dataclasses
import os
import re
from collections import defaultdict
from pathlib import Path
from typing import Any, List, Literal, Optional
import requests
from pytube import YouTube
from swarm.graph import Graph, Node
from agenthub.gptswarm_agent.prompt import GPTSwarmPromptSet
from opendevin.core.logger import opendevin_logger as logger
from opendevin.llm.llm import LLM
from opendevin.runtime.plugins.agent_skills.agentskills import (
parse_audio,
parse_docx,
parse_image,
parse_latex,
parse_pdf,
parse_pptx,
parse_txt,
parse_video,
)
OPENAI_API_KEY = 'sk-proj-****' # TODO: get from environment or config
SEARCHAPI_API_KEY = '****' # TODO: get from environment or config
MessageRole = Literal['system', 'user', 'assistant']
@dataclasses.dataclass()
class Message:
role: MessageRole
content: str
READER_MAP = {
'.png': parse_image,
'.jpg': parse_image,
'.jpeg': parse_image,
'.gif': parse_image,
'.bmp': parse_image,
'.tiff': parse_image,
'.tif': parse_image,
'.webp': parse_image,
'.mp3': parse_audio,
'.m4a': parse_audio,
'.wav': parse_audio,
'.MOV': parse_video,
'.mp4': parse_video,
'.mov': parse_video,
'.avi': parse_video,
'.mpg': parse_video,
'.mpeg': parse_video,
'.wmv': parse_video,
'.flv': parse_video,
'.webm': parse_video,
'.pptx': parse_pptx,
'.pdf': parse_pdf,
'.docx': parse_docx,
'.tex': parse_latex,
'.txt': parse_txt,
}
class FileReader:
def __init__(self):
self.reader = None # Initial type is None
def set_reader(self, suffix: str):
reader = READER_MAP.get(suffix)
if reader is not None:
self.reader = reader
logger.info(f'Setting Reader to {self.reader.__name__}')
else:
logger.error(f'No reader found for suffix {suffix}')
self.reader = None
def read_file(self, file_path: Path, task: str = 'describe the file') -> str:
suffix = file_path.suffix
self.set_reader(suffix)
if not self.reader:
raise ValueError(f'No reader set for suffix {suffix}')
if self.reader in [parse_image, parse_video]:
file_content = self.reader(file_path, task)
else:
file_content = self.reader(file_path)
logger.info(f'Reading file {file_path} using {self.reader.__name__}')
return file_content
class GenerateQuery(Node):
def __init__(
self,
domain: str = 'gaia',
model_name: Optional[str] = 'gpt-4o-2024-05-13',
operation_description: str = 'Given a question, return what information is needed to answer the question.',
id=None,
):
super().__init__(operation_description, id, True)
self.domain = domain
self.api_key = OPENAI_API_KEY
self.llm = LLM(model=model_name, api_key=self.api_key)
self.prompt_set = GPTSwarmPromptSet()
@property
def node_name(self) -> str:
return self.__class__.__name__
def extract_urls(self, text: str) -> List[str]:
url_pattern = r'https?://[^\s]+'
urls = re.findall(url_pattern, text)
return urls
def is_youtube_url(self, url: str) -> bool:
youtube_regex = (
r'(https?://)?(www\.)?'
r'(youtube|youtu|youtube-nocookie)\.(com|be)/'
r'(watch\?v=|embed/|v/|.+\?v=)?([^&=%\?]{11})'
)
return bool(re.match(youtube_regex, url))
def _youtube_download(self, url: str) -> str:
try:
video_id = url.split('v=')[-1].split('&')[0]
video_id = video_id.strip()
youtube = YouTube(url)
video_stream = (
youtube.streams.filter(progressive=True, file_extension='mp4')
.order_by('resolution')
.desc()
.first()
)
if not video_stream:
raise ValueError('No suitable video stream found.')
output_dir = 'workspace/tmp'
os.makedirs(output_dir, exist_ok=True)
output_path = f'{output_dir}/{video_id}.mp4'
video_stream.download(output_path=output_dir, filename=f'{video_id}.mp4')
return output_path
except Exception as e:
logger.error(
f'Error downloading video from {url}: {e}'
) # Use logger for error messages
return ''
async def _execute(
self, inputs: Optional[List[dict]] = None, **kwargs
) -> List[dict]:
if inputs is None:
inputs = []
node_inputs = inputs
outputs = []
for input in node_inputs:
urls = self.extract_urls(input['task'])
download_paths = []
for url in urls:
if self.is_youtube_url(url):
download_path = self._youtube_download(url)
if download_path:
download_paths.append(download_path)
if urls:
logger.info(urls)
if download_paths:
logger.info(download_paths)
files = input.get('files', [])
if not isinstance(files, list):
files = []
files.extend(download_paths)
role = self.prompt_set.get_role()
# constraint = self.prompt_set.get_constraint()
prompt = self.prompt_set.get_query_prompt(question=input['task'])
messages = [
Message(role='system', content=f'You are a {role}.'),
Message(role='user', content=prompt),
]
response = self.llm.completion(
messages=[
{'role': msg.role, 'content': msg.content} for msg in messages
]
)
response = response.choices[0].message.content
executions = {
'operation': self.node_name,
'task': input['task'],
'files': files,
'input': input.get('task', None),
'subtask': prompt,
'output': response,
'format': 'natural language',
}
outputs.append(executions)
return outputs
class FileAnalyse(Node):
def __init__(
self,
domain: str = 'gaia',
model_name: Optional[str] = 'gpt-4o-2024-05-13',
operation_description: str = 'Given a question, extract information from a file.',
id=None,
):
super().__init__(operation_description, id, True)
self.domain = domain
self.api_key = OPENAI_API_KEY
self.llm = LLM(model=model_name, api_key=self.api_key)
self.prompt_set = GPTSwarmPromptSet()
self.reader = FileReader()
@property
def node_name(self) -> str:
return self.__class__.__name__
async def _execute(
self, inputs: Optional[List[dict]] = None, **kwargs
) -> List[dict]:
if inputs is None:
inputs = []
node_inputs = inputs
outputs = []
for input in node_inputs:
query = input.get('output', 'Please organize the information of this file.')
files = input.get('files', [])
response = await self.file_analyse(query, files, self.llm)
executions = {
'operation': self.node_name,
'task': input['task'],
'files': files,
'input': query,
'subtask': f'Read the content of ###{files}, use query ###{query}',
'output': response,
'format': 'natural language',
}
outputs.append(executions)
return outputs
async def file_analyse(self, query: str, files: List[str], llm: LLM) -> str:
answer = ''
for file in files:
file_path = Path(file)
if self.reader not in [parse_image, parse_video]:
file_content = self.reader.read_file(file_path)
prompt = self.prompt_set.get_file_analysis_prompt(
query=query, file=file_content
)
messages = [
Message(
role='system',
content=f'You are a {self.prompt_set.get_role()}.',
),
Message(role='user', content=prompt),
]
response = llm.completion(
messages=[
{'role': msg.role, 'content': msg.content} for msg in messages
]
)
answer += response.choices[0].message.content + '\n'
return answer
class WebSearch(Node):
def __init__(
self,
domain: str = 'gaia',
model_name: Optional[str] = 'gpt-4o-2024-05-13',
operation_description: str = 'Given a question, search the web for infomation.',
id=None,
):
super().__init__(operation_description, id, True)
self.domain = domain
self.api_key = OPENAI_API_KEY
self.llm = LLM(model=model_name, api_key=self.api_key)
self.prompt_set = GPTSwarmPromptSet()
@property
def node_name(self) -> str:
return self.__class__.__name__
async def _execute(
self, inputs: Optional[List[dict]] = None, max_keywords: int = 4, **kwargs
) -> List[dict]:
if inputs is None:
inputs = []
node_inputs = inputs
outputs = []
for input in node_inputs:
task = input['task']
query = input['output']
prompt = self.prompt_set.get_websearch_prompt(question=task, query=query)
messages = [
Message(
role='system', content=f'You are a {self.prompt_set.get_role()}.'
),
Message(role='user', content=prompt),
]
generated_quires = self.llm.completion(
messages=[
{'role': msg.role, 'content': msg.content} for msg in messages
]
)
generated_quires = generated_quires.choices[0].message.content
generated_quires = generated_quires.split(',')[:max_keywords]
logger.info(f'The search keywords include: {generated_quires}')
search_results = [self.web_search(query) for query in generated_quires]
logger.info(f'The search results: {str(search_results)[:100]}...')
distill_prompt = self.prompt_set.get_distill_websearch_prompt(
question=input['task'], query=query, results='.\n'.join(search_results)
)
messages = [
Message(
role='system', content=f'You are a {self.prompt_set.get_role()}.'
),
Message(role='user', content=distill_prompt),
]
response = self.llm.completion(
messages=[
{'role': msg.role, 'content': msg.content} for msg in messages
]
)
response = response.choices[0].message.content
executions = {
'operation': self.node_name,
'task': task,
'files': input.get('files', []),
'input': query,
'subtask': distill_prompt,
'output': response,
'format': 'natural language',
}
outputs.append(executions)
return outputs
def web_search(self, query: str, item_num: int = 3) -> str:
url = 'https://www.searchapi.io/api/v1/search'
params = {
'engine': 'google',
'q': query,
'api_key': SEARCHAPI_API_KEY, # os.getenv("SEARCHAPI_API_KEY")
}
response = ast.literal_eval(requests.get(url, params=params).text)
if (
'knowledge_graph' in response.keys()
and 'description' in response['knowledge_graph'].keys()
):
return response['knowledge_graph']['description']
if (
'organic_results' in response.keys()
and len(response['organic_results']) > 0
):
snippets = []
for res in response['organic_results'][:item_num]:
if 'snippet' in res:
snippets.append(res['snippet'])
return '\n'.join(snippets)
return ' '
class CombineAnswer(Node):
def __init__(
self,
domain: str = 'gaia',
model_name: Optional[str] = 'gpt-4o-2024-05-13',
operation_description: str = 'Combine multiple inputs into one.',
max_token: int = 500,
id=None,
):
super().__init__(operation_description, id, True)
self.domain = domain
self.max_token = max_token
self.api_key = OPENAI_API_KEY
self.llm = LLM(model=model_name, api_key=self.api_key)
self.prompt_set = GPTSwarmPromptSet()
self.materials: defaultdict[str, str] = defaultdict(str)
@property
def node_name(self) -> str:
return self.__class__.__name__
async def _execute(
self, inputs: Optional[List[Any]] = None, **kwargs
) -> List[dict]:
if inputs is None:
inputs = []
node_inputs = inputs
role = self.prompt_set.get_role()
constraint = self.prompt_set.get_constraint()
self.materials = defaultdict(str)
for input in node_inputs:
operation = input.get('operation')
if operation:
self.materials[operation] += f'{input.get("output", "")}\n'
self.materials['task'] = input.get('task')
question = self.prompt_set.get_combine_materials(self.materials)
prompt = self.prompt_set.get_answer_prompt(question=question)
messages = [
Message(role='system', content=f'You are a {role}. {constraint}'),
Message(role='user', content=prompt),
]
response = self.llm.completion(
messages=[{'role': msg.role, 'content': msg.content} for msg in messages]
)
response = response.choices[0].message.content
executions = {
'operation': self.node_name,
'task': self.materials['task'],
'files': self.materials['files']
if isinstance(self.materials['files'], str)
else ', '.join(self.materials['files']),
'input': node_inputs,
'subtask': prompt,
'output': response,
'format': 'natural language',
}
return [executions]
class AssistantGraph(Graph):
def build_graph(self):
query = GenerateQuery(self.domain, self.model_name)
file_analysis = FileAnalyse(self.domain, self.model_name)
web_search = WebSearch(self.domain, self.model_name)
query.add_successor(file_analysis)
query.add_successor(web_search)
combine = CombineAnswer(self.domain, self.model_name)
file_analysis.add_successor(combine)
web_search.add_successor(combine)
self.input_nodes = [query]
self.output_nodes = [combine]
self.add_node(query)
self.add_node(file_analysis)
self.add_node(web_search)
self.add_node(combine)
if __name__ == '__main__':
# # test node
# task = 'What is the text representation of the last digit of twelve squared?'
# inputs = [{'task': task}]
# query_instance = GenerateQuery()
# query = asyncio.run(query_instance._execute(inputs))
# print(query)
# task = 'What is the text representation of the last digit of twelve squared?'
# inputs = [
# {
# 'task': 'How can researchers ensure AGI development is both safe and ethical while avoiding societal biases and inequalities?',
# 'files': ['agi.txt'],
# }
# ]
# file_instance = FileAnalyse()
# file_info = asyncio.run(file_instance._execute(inputs))
# print(file_info)
# task = 'What is the text representation of the last digit of twelve squared?'
# inputs = [
# {
# 'task': 'How can researchers ensure AGI development is both safe and ethical while avoiding societal biases and inequalities?'
# }
# ]
# search_instance = WebSearch()
# search_info = asyncio.run(search_instance._execute(inputs))
# print(search_info)
assistant_graph = AssistantGraph(domain='gaia', model_name='gpt-4o-2024-05-13')
# test graph
assistant_graph.build_graph()
inputs = [
{
'task': 'How can researchers ensure AGI development is both safe and ethical while avoiding societal biases and inequalities?',
'files': ['agi.txt'],
}
]
outputs = asyncio.run(assistant_graph.run(inputs))
print(outputs)

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from typing import Any, Dict
class GPTSwarmPromptSet:
"""
GPTSwarmPromptSet provides a collection of static methods to generate prompts
for a general AI assistant. These prompts cover various tasks like answering questions,
performing web searches, analyzing files, and reflecting on tasks.
"""
@staticmethod
def get_role():
return 'a general AI assistant'
@staticmethod
def get_constraint():
return (
'I will ask you a question. Report your thoughts, and finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. '
'YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. '
"If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. "
"If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. "
'If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string. '
)
@staticmethod
def get_format():
return 'natural language'
@staticmethod
def get_answer_prompt(question):
return f'{question}'
@staticmethod
def get_query_prompt(question):
return (
'# Information Gathering for Question Resolution\n\n'
'Evaluate if additional information is needed to answer the question. '
'If a web search or file analysis is necessary, outline specific clues or details to be searched for.\n\n'
f'## ❓ Target Question:\n{question}\n\n'
'## 🔍 Clues for Investigation:\n'
'Identify critical clues and concepts within the question that are essential for finding the answer.\n'
)
@staticmethod
def get_file_analysis_prompt(query, file):
return (
'# File Analysis Task\n\n'
f'## 🔍 Information Extraction Objective:\n---\n{query}\n---\n\n'
f'## 📄 File Under Analysis:\n---\n{file}\n---\n\n'
'## 📝 Instructions:\n'
'1. Identify the key sections in the file relevant to the query.\n'
'2. Extract and summarize the necessary information from these sections.\n'
'3. Ensure the response is focused and directly addresses the query.\n'
"Example: 'Identify the main theme in the text.'"
)
@staticmethod
def get_websearch_prompt(question, query):
return (
'# Web Search Task\n\n'
f'## Original Question: \n---\n{question}\n---\n\n'
f'## 🔍 Targeted Search Objective:\n---\n{query}\n---\n\n'
'## 🌐 Simplified Search Instructions:\n'
'Generate three specific search queries directly related to the original question. Each query should focus on key terms from the question. Format the output as a comma-separated list.\n'
"For example, if the question is 'Who will be the next US president?', your queries could be: 'US presidential candidates, current US president, next US president'.\n"
"Remember to format the queries as 'query1, query2, query3'."
)
@staticmethod
def get_distill_websearch_prompt(question, query, results):
return (
'# Summarization of Search Results\n\n'
f'## Original question: \n---\n{question}\n---\n\n'
f'## 🔍 Required Information for Summary:\n---\n{query}\n---\n\n'
f'## 🌐 Analyzed Search Results:\n---\n{results}\n---\n\n'
'## 📝 Instructions for Summarization:\n'
'1. Review the provided search results and identify the most relevant information related to the question and query.\n'
'2. Extract and highlight the key findings, facts, or data points from these results.\n'
'3. Organize the summarized information in a coherent and logical manner.\n'
'4. Ensure the summary is concise and directly addresses the query, avoiding extraneous details.\n'
'5. If the information from web search is useless, directly answer: "No useful information from WebSearch".\n'
)
@staticmethod
def get_combine_materials(materials: Dict[str, Any], avoid_vague=True) -> str:
question = materials.get('task', 'No problem provided')
for key, value in materials.items():
if 'No useful information from WebSearch' in value:
continue
value = value.strip('\n').strip()
if key != 'task' and value:
question += (
f'\n\nReference information for {key}:'
+ '\n----------------------------------------------\n'
+ f'{value}'
+ '\n----------------------------------------------\n\n'
)
if avoid_vague:
question += (
'\nProvide a specific answer. For questions with known answers, ensure to provide accurate and factual responses. '
+ "Avoid vague responses or statements like 'unable to...' that don't contribute to a definitive answer. "
+ "For example: if a question asks 'who will be the president of America', and the answer is currently unknown, you could suggest possibilities like 'Donald Trump', or 'Biden'. However, if the answer is known, provide the correct information."
)
return question
@staticmethod
def get_self_consistency(question: str, answers: list, constraint: str) -> str:
formatted_answers = '\n'.join(
[f'Answer {index + 1}: {answer}' for index, answer in enumerate(answers)]
)
return (
'# Self-Consistency Evaluation Task\n\n'
f'## 🤔 Question for Review:\n---\n{question}\n---\n\n'
f'## 💡 Reviewable Answers:\n---\n{formatted_answers}\n---\n\n'
'## 📋 Instructions for Selection:\n'
'1. Read each answer and assess how it addresses the question.\n'
"2. Compare the answers for their adherence to the given question's criteria and logical coherence.\n"
"3. Identify the answer that best aligns with the question's requirements and is the most logically consistent.\n"
"4. Ignore the candidate answers if they do not give a direct answer, for example, using 'unable to ...', 'as an AI ...'.\n"
'5. Copy the most suitable answer as it is, without modification, to maintain its original form.\n'
f'6. Adhere to the constraints: {constraint}.\n'
'Note: If no answer fully meets the criteria, choose and copy the one that is closest to the requirements.'
)

17
agenthub/micro/README.md Normal file
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## Introduction
This package contains definitions of micro-agents. A micro-agent is defined
in the following structure:
```
[AgentName]
├── agent.yaml
└── prompt.md
```
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.

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* `browse` - opens a web page. Arguments:
* `url` - the URL to open

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* `delegate` - send a task to another agent from the list provided. Arguments:
* `agent` - the agent to which the task is delegated. MUST match a name in the list of agents provided.
* `inputs` - a dictionary of input parameters to the agent, as specified in the list

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* `finish` - if you're absolutely certain that you've completed your task, use the finish action to stop working. Arguments:
* `outputs` - a dictionary representing the outputs of your task, if any

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* `message` - make a plan, set a goal, record your thoughts, or ask for more input from the user. Arguments:
* `content` - the thought to record
* `wait_for_response` - set to `true` to wait for the user to respond before proceeding

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