install markdown

This is not ideal in that we have to regenerate the whole docs everytime but considering 1. it's pretty fast and 2. it seems to be the only way to ensure consistency it's probably worth doing it this way.

.devcontainer/README.MD

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

.devcontainer/devcontainer.json

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

.devcontainer/on_create.sh

@@ -1,8 +0,0 @@
-#!/usr/bin/env bash
-sudo apt update
-sudo apt install -y netcat
-sudo add-apt-repository -y ppa:deadsnakes/ppa
-sudo apt install -y python3.11
-curl -sSL https://install.python-poetry.org | python3.11 -
-# chromadb requires SQLite > 3.35 but SQLite in Python3.11.9 comes with 3.31.1
-sudo cp /opt/conda/lib/libsqlite3.so.0 /lib/x86_64-linux-gnu/libsqlite3.so.0

.github/.codecov.yml

@@ -1,19 +0,0 @@
-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

.github/ISSUE_TEMPLATE/bug_template.yml

@@ -1,5 +1,5 @@
 name: Bug
-description: Report a problem with OpenHands
+description: Report a problem with OpenDevin
 title: '[Bug]: '
 labels: ['bug']
 body:
@@ -12,7 +12,7 @@ body:
       label: Is there an existing issue for the same bug?
       description: Please check if an issue already exists for the bug you encountered.
       options:
-      - label: I have checked the troubleshooting document at https://docs.all-hands.dev/modules/usage/troubleshooting
+      - 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
@@ -28,8 +28,8 @@ body:
   - type: textarea
     id: current-version
     attributes:
-      label: Current OpenHands version
-      description: What version of OpenHands are you using? If you're running in docker, tell us the tag you're using (e.g. ghcr.io/all-hands-ai/openhands:0.3.1).
+      label: Current Version
+      description: What version are you using? If you're running in docker, tell us the tag you're using (e.g. ghcr.io/opendevin/opendevin:0.3.1).
       render: bash
     validations:
       required: true
@@ -52,12 +52,6 @@ body:
         - Model:
         - Agent:
 
-  - type: textarea
-    id: os-version
-    attributes:
-      label: Operating System
-      description: What Operating System are you using? Linux, Mac OS, WSL on Windows
-
   - type: textarea
     id: repro-steps
     attributes:
@@ -72,4 +66,4 @@ body:
     id: additional-context
     attributes:
       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.
+      description: Please add any additional context about the problem here.

.github/ISSUE_TEMPLATE/feature_request.md

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

.github/ISSUE_TEMPLATE/question.md

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

.github/dependabot.yml

@@ -1,38 +0,0 @@
-# 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: "/"
-    schedule:
-      interval: "daily"
-    open-pull-requests-limit: 20
-
-  - package-ecosystem: "npm"
-    directory: "/frontend"
-    schedule:
-      interval: "daily"
-    open-pull-requests-limit: 20
-    groups:
-      docusaurus:
-        patterns:
-          - "*docusaurus*"
-      eslint:
-        patterns:
-          - "*eslint*"
-
-  - package-ecosystem: "npm"
-    directory: "/docs"
-    schedule:
-      interval: "daily"
-    open-pull-requests-limit: 20
-    groups:
-      docusaurus:
-        patterns:
-          - "*docusaurus*"
-      eslint:
-        patterns:
-          - "*eslint*"

.github/pull_request_template.md

@@ -1,11 +0,0 @@
-**Short description of the problem this fixes or functionality that this introduces. This may be used for the CHANGELOG**
-
-
-
----
-**Give a summary of what the PR does, explaining any non-trivial design decisions**
-
-
-
----
-**Link of any specific issues this addresses**

.github/workflows/clean-up.yml

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

.github/workflows/deploy-docs.yml

@@ -1,25 +1,20 @@
-# Workflow that builds and deploys the documentation website
 name: Deploy Docs to GitHub Pages
 
-# * Always run on "main"
-# * Run on PRs that target the "main" branch and have changes in the "docs" folder or this workflow
 on:
   push:
     branches:
       - main
   pull_request:
-    paths:
-      - 'docs/**'
-      - '.github/workflows/deploy-docs.yml'
     branches:
       - main
 
 jobs:
-  # Build the documentation website
   build:
-    if: github.repository == 'All-Hands-AI/OpenHands'
     name: Build Docusaurus
     runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: docs
     steps:
       - uses: actions/checkout@v4
         with:
@@ -29,32 +24,22 @@ jobs:
           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
+        run: npm ci
       - name: Build website
-        run: cd docs && npm run build
+        run: npm run build
+
       - name: Upload Build Artifact
         if: github.ref == 'refs/heads/main'
         uses: actions/upload-pages-artifact@v3
         with:
           path: docs/build
 
-  # Deploy the documentation website
   deploy:
-    if: github.ref == 'refs/heads/main' && github.repository == 'All-Hands-AI/OpenHands'
     name: Deploy to GitHub Pages
-    runs-on: ubuntu-latest
-    # This job only runs on "main" so only run one of these jobs at a time
-    # otherwise it will fail if one is already running
-    concurrency:
-      group: ${{ github.workflow }}-${{ github.ref }}
     needs: build
+    if: github.ref == 'refs/heads/main'
     # Grant GITHUB_TOKEN the permissions required to make a Pages deployment
     permissions:
       pages: write # to deploy to Pages
@@ -63,6 +48,7 @@ jobs:
     environment:
       name: github-pages
       url: ${{ steps.deployment.outputs.page_url }}
+    runs-on: ubuntu-latest
     steps:
       - name: Deploy to GitHub Pages
         id: deployment

.github/workflows/dummy-agent-test.yml

@@ -1,13 +1,6 @@
-# Workflow that uses the DummyAgent to run a simple task
-name: Run E2E test with dummy agent
+name: Run e2e test with dummy agent
 
-# Always run on "main"
-# Always run on PRs
-on:
-  push:
-    branches:
-    - main
-  pull_request:
+on: [push]
 
 jobs:
   test:
@@ -21,18 +14,8 @@ jobs:
       - name: Set up environment
         run: |
           curl -sSL https://install.python-poetry.org | python3 -
-          poetry install --without evaluation,llama-index
-          poetry run playwright install --with-deps chromium
+          poetry install --without evaluation
           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 openhands/core/main.py -t "do a flip" -d ./workspace/ -c DummyAgent
-      - name: Check exit code
-        run: |
-          if [ $? -ne 0 ]; then
-            echo "Test failed"
-            exit 1
-          else
-            echo "Test passed"
-          fi
+          poetry run python opendevin/main.py -t "do a flip" -m ollama/not-a-model -d ./workspace/ -c DummyAgent

.github/workflows/fe-unit-tests.yml

@@ -1,39 +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'
-
-jobs:
-  # Run frontend unit tests
-  fe-test:
-    name: FE Unit Tests
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        node-version: [20]
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-      - name: Set up Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: ${{ matrix.node-version }}
-      - name: Install dependencies
-        working-directory: ./frontend
-        run: npm ci
-      - name: Run tests and collect coverage
-        working-directory: ./frontend
-        run: npm run test:coverage
-      - name: Upload coverage to Codecov
-        uses: codecov/codecov-action@v4
-        env:
-          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

.github/workflows/ghcr.yml

@@ -1,16 +1,9 @@
-# Workflow that builds, tests and then pushes the app docker images to the ghcr.io repository
-name: Build and Publish App Image
+name: Publish Docker Image
 
-# Always run on "main"
-# Always run on tags
-# Always run on PRs
-# Can also be triggered manually
 on:
   push:
     branches:
-      - main
-    tags:
-      - '*'
+    - main
   pull_request:
   workflow_dispatch:
     inputs:
@@ -20,22 +13,42 @@ on:
         default: ''
 
 jobs:
-  # Builds the OpenHands Docker images
-  ghcr_build:
-    name: Build App Image
+  ghcr_build_and_push:
     runs-on: ubuntu-latest
+
     permissions:
       contents: read
       packages: write
+
+    strategy:
+      matrix:
+        image: ["app", "evaluation", "sandbox"]
+
     steps:
-      - name: Checkout
+      - name: checkout
         uses: actions/checkout@v4
+
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
+
+      - name: Set up Docker Buildx
+        id: buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Login to ghcr
+        uses: docker/login-action@v1
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
       - name: 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
@@ -44,22 +57,20 @@ jobs:
           large-packages: true
           docker-images: false
           swap-storage: true
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-      - name: Login to GHCR
-        uses: docker/login-action@v3
-        with:
-          registry: ghcr.io
-          username: ${{ github.repository_owner }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-      - name: Set up Docker Buildx
-        id: buildx
-        uses: docker/setup-buildx-action@v3
-      - name: Build and push app image
-        if: "!github.event.pull_request.head.repo.fork"
+
+      - name: Build and push ${{ matrix.image }}
+        if: github.event.pull_request.head.repo.full_name == github.repository
         run: |
-          ./containers/build.sh openhands ${{ github.repository_owner }} --push
-      - name: Build app image
-        if: "github.event.pull_request.head.repo.fork"
+          ./containers/build.sh ${{ matrix.image }} ${{ github.repository_owner }} --push
+
+      - name: Build ${{ matrix.image }}
+        if: github.event.pull_request.head.repo.full_name != github.repository
         run: |
-          ./containers/build.sh openhands image ${{ github.repository_owner }}
+          ./containers/build.sh ${{ matrix.image }} ${{ github.repository_owner }}
+
+  docker_build_success:
+    name: Docker Build Success
+    runs-on: ubuntu-latest
+    needs: ghcr_build_and_push
+    steps:
+    - run: echo Done!

.github/workflows/ghcr_runtime.yml

@@ -1,307 +0,0 @@
-# Workflow that builds, tests and then pushes the runtime docker images to the ghcr.io repository
-name: Build, Test and Publish RT Image
-
-# Only run one workflow of the same group at a time.
-# There can be at most one running and one pending job in a concurrency group at any time.
-concurrency:
-  group: ${{ github.workflow }}-${{ github.ref }}
-  cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
-
-# Always run on "main"
-# Always run on tags
-# Always run on PRs
-# Can also be triggered manually
-on:
-  push:
-    branches:
-      - main
-    tags:
-      - '*'
-  pull_request:
-  workflow_dispatch:
-    inputs:
-      reason:
-        description: 'Reason for manual trigger'
-        required: true
-        default: ''
-
-jobs:
-  # Builds the runtime Docker images
-  ghcr_build_runtime:
-    name: Build Image
-    runs-on: ubuntu-latest
-    permissions:
-      contents: read
-      packages: write
-    strategy:
-      matrix:
-        base_image:
-          - image: 'nikolaik/python-nodejs:python3.11-nodejs22'
-            tag: nikolaik
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-      - name: Free Disk Space (Ubuntu)
-        uses: jlumbroso/free-disk-space@main
-        with:
-          # this might remove tools that are actually needed,
-          # if set to "true" but frees about 6 GB
-          tool-cache: true
-          # all of these default to true, but feel free to set to
-          # "false" if necessary for your workflow
-          android: true
-          dotnet: true
-          haskell: true
-          large-packages: true
-          docker-images: false
-          swap-storage: true
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-      - name: Login to GHCR
-        uses: docker/login-action@v3
-        with:
-          registry: ghcr.io
-          username: ${{ github.repository_owner }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-      - name: Set up Docker Buildx
-        id: buildx
-        uses: docker/setup-buildx-action@v3
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.11'
-      - name: Cache Poetry dependencies
-        uses: actions/cache@v4
-        with:
-          path: |
-            ~/.cache/pypoetry
-            ~/.virtualenvs
-          key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
-          restore-keys: |
-            ${{ runner.os }}-poetry-
-      - name: Install poetry via pipx
-        run: pipx install poetry
-      - name: Install Python dependencies using Poetry
-        run: make install-python-dependencies
-      - name: Create source distribution and Dockerfile
-        run: poetry run python3 openhands/runtime/utils/runtime_build.py --base_image ${{ matrix.base_image.image }} --build_folder containers/runtime --force_rebuild
-      - name: Build and push runtime image ${{ matrix.base_image.image }}
-        if: github.event.pull_request.head.repo.fork != true
-        run: |
-          ./containers/build.sh runtime ${{ github.repository_owner }} --push ${{ matrix.base_image.tag }}
-      # Forked repos can't push to GHCR, so we need to upload the image as an artifact
-      - name: Build runtime image ${{ matrix.base_image.image }} for fork
-        if: github.event.pull_request.head.repo.fork
-        uses: docker/build-push-action@v6
-        with:
-          tags: ghcr.io/all-hands-ai/runtime:${{ github.sha }}-${{ matrix.base_image.tag }}
-          outputs: type=docker,dest=/tmp/runtime-${{ matrix.base_image.tag }}.tar
-          context: containers/runtime
-      - name: Upload runtime image for fork
-        if: github.event.pull_request.head.repo.fork
-        uses: actions/upload-artifact@v4
-        with:
-          name: runtime-${{ matrix.base_image.tag }}
-          path: /tmp/runtime-${{ matrix.base_image.tag }}.tar
-
-  # Run unit tests with the EventStream runtime Docker images as root
-  test_runtime_root:
-    name: RT Unit Tests (Root)
-    needs: [ghcr_build_runtime]
-    runs-on: ubuntu-latest
-    strategy:
-      fail-fast: false
-      matrix:
-        base_image: ['nikolaik']
-    steps:
-      - uses: actions/checkout@v4
-      # Forked repos can't push to GHCR, so we need to download the image as an artifact
-      - name: Download runtime image for fork
-        if: github.event.pull_request.head.repo.fork
-        uses: actions/download-artifact@v4
-        with:
-          name: runtime-${{ matrix.base_image }}
-          path: /tmp
-      - name: Load runtime image for fork
-        if: github.event.pull_request.head.repo.fork
-        run: |
-          docker load --input /tmp/runtime-${{ matrix.base_image }}.tar
-      - name: Cache Poetry dependencies
-        uses: actions/cache@v4
-        with:
-          path: |
-            ~/.cache/pypoetry
-            ~/.virtualenvs
-          key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
-          restore-keys: |
-            ${{ runner.os }}-poetry-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.11'
-      - name: Install poetry via pipx
-        run: pipx install poetry
-      - name: Install Python dependencies using Poetry
-        run: make install-python-dependencies
-      - name: Run runtime tests
-        run: |
-          # We install pytest-xdist in order to run tests across CPUs
-          poetry run pip install pytest-xdist
-
-          # Install to be able to retry on failures for flaky tests
-          poetry run pip install pytest-rerunfailures
-
-          image_name=ghcr.io/${{ github.repository_owner }}/runtime:${{ github.sha }}-${{ matrix.base_image }}
-          image_name=$(echo $image_name | tr '[:upper:]' '[:lower:]')
-
-          SKIP_CONTAINER_LOGS=true \
-          TEST_RUNTIME=eventstream \
-          SANDBOX_USER_ID=$(id -u) \
-          SANDBOX_RUNTIME_CONTAINER_IMAGE=$image_name \
-          TEST_IN_CI=true \
-          RUN_AS_OPENHANDS=false \
-          poetry run pytest -n 3 -raR --reruns 1 --reruns-delay 3 --cov=agenthub --cov=openhands --cov-report=xml -s ./tests/runtime
-      - name: Upload coverage to Codecov
-        uses: codecov/codecov-action@v4
-        env:
-          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
-
-  # Run unit tests with the EventStream runtime Docker images as openhands user
-  test_runtime_oh:
-    name: RT Unit Tests (openhands)
-    runs-on: ubuntu-latest
-    needs: [ghcr_build_runtime]
-    strategy:
-      matrix:
-        base_image: ['nikolaik']
-    steps:
-      - uses: actions/checkout@v4
-      # Forked repos can't push to GHCR, so we need to download the image as an artifact
-      - name: Download runtime image for fork
-        if: github.event.pull_request.head.repo.fork
-        uses: actions/download-artifact@v4
-        with:
-          name: runtime-${{ matrix.base_image }}
-          path: /tmp
-      - name: Load runtime image for fork
-        if: github.event.pull_request.head.repo.fork
-        run: |
-          docker load --input /tmp/runtime-${{ matrix.base_image }}.tar
-      - name: Cache Poetry dependencies
-        uses: actions/cache@v4
-        with:
-          path: |
-            ~/.cache/pypoetry
-            ~/.virtualenvs
-          key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
-          restore-keys: |
-            ${{ runner.os }}-poetry-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.11'
-      - name: Install poetry via pipx
-        run: pipx install poetry
-      - name: Install Python dependencies using Poetry
-        run: make install-python-dependencies
-      - name: Run runtime tests
-        run: |
-          # We install pytest-xdist in order to run tests across CPUs
-          poetry run pip install pytest-xdist
-
-          # Install to be able to retry on failures for flaky tests
-          poetry run pip install pytest-rerunfailures
-
-          image_name=ghcr.io/${{ github.repository_owner }}/runtime:${{ github.sha }}-${{ matrix.base_image }}
-          image_name=$(echo $image_name | tr '[:upper:]' '[:lower:]')
-
-          SKIP_CONTAINER_LOGS=true \
-          TEST_RUNTIME=eventstream \
-          SANDBOX_USER_ID=$(id -u) \
-          SANDBOX_RUNTIME_CONTAINER_IMAGE=$image_name \
-          TEST_IN_CI=true \
-          RUN_AS_OPENHANDS=true \
-          poetry run pytest -n 3 -raR --reruns 1 --reruns-delay 3 --cov=agenthub --cov=openhands --cov-report=xml -s ./tests/runtime
-      - name: Upload coverage to Codecov
-        uses: codecov/codecov-action@v4
-        env:
-          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
-
-  # Run integration tests with the eventstream runtime Docker image
-  runtime_integration_tests_on_linux:
-    name: RT Integration Tests (Linux)
-    runs-on: ubuntu-latest
-    needs: [ghcr_build_runtime]
-    strategy:
-      fail-fast: false
-      matrix:
-        base_image: ['nikolaik']
-    steps:
-      - uses: actions/checkout@v4
-      # Forked repos can't push to GHCR, so we need to download the image as an artifact
-      - name: Download runtime image for fork
-        if: github.event.pull_request.head.repo.fork
-        uses: actions/download-artifact@v4
-        with:
-          name: runtime-${{ matrix.base_image }}
-          path: /tmp
-      - name: Load runtime image for fork
-        if: github.event.pull_request.head.repo.fork
-        run: |
-          docker load --input /tmp/runtime-${{ matrix.base_image }}.tar
-      - name: Cache Poetry dependencies
-        uses: actions/cache@v4
-        with:
-          path: |
-            ~/.cache/pypoetry
-            ~/.virtualenvs
-          key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
-          restore-keys: |
-            ${{ runner.os }}-poetry-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.11'
-      - name: Install poetry via pipx
-        run: pipx install poetry
-      - name: Install Python dependencies using Poetry
-        run: make install-python-dependencies
-      - name: Run integration tests
-        run: |
-          image_name=ghcr.io/${{ github.repository_owner }}/runtime:${{ github.sha }}-${{ matrix.base_image }}
-          image_name=$(echo $image_name | tr '[:upper:]' '[:lower:]')
-
-          TEST_RUNTIME=eventstream \
-          SANDBOX_USER_ID=$(id -u) \
-          SANDBOX_RUNTIME_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 }}
-
-  # The two following jobs (named identically) are to check whether all the runtime tests have passed as the
-  # "All Runtime Tests Passed" is a required job for PRs to merge
-  # Due to this bug: https://github.com/actions/runner/issues/2566, we want to create a job that runs when the
-  # prerequisites have been cancelled or failed so merging is disallowed, otherwise Github considers "skipped" as "success"
-  runtime_tests_check_success:
-    name: All Runtime Tests Passed
-    if: ${{ !cancelled() && !contains(needs.*.result, 'failure') && !contains(needs.*.result, 'cancelled') }}
-    runs-on: ubuntu-latest
-    needs: [test_runtime_root, test_runtime_oh, runtime_integration_tests_on_linux]
-    steps:
-      - name: All tests passed
-        run: echo "All runtime tests have passed successfully!"
-
-  runtime_tests_check_fail:
-    name: All Runtime Tests Passed
-    if: ${{ cancelled() || contains(needs.*.result, 'failure') || contains(needs.*.result, 'cancelled') }}
-    runs-on: ubuntu-latest
-    needs: [test_runtime_root, test_runtime_oh, runtime_integration_tests_on_linux]
-    steps:
-      - name: Some tests failed
-        run: |
-          echo "Some runtime tests failed or were cancelled"
-          exit 1

.github/workflows/lint.yml

@@ -1,9 +1,5 @@
-# Workflow that runs lint on the frontend and python code
 name: Lint
 
-# The jobs in this workflow are required, so they must run at all times
-# Always run on "main"
-# Always run on PRs
 on:
   push:
     branches:
@@ -11,33 +7,32 @@ on:
   pull_request:
 
 jobs:
-  # Run lint on the frontend code
   lint-frontend:
     name: Lint frontend
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4
+
       - name: Install Node.js 20
         uses: actions/setup-node@v4
         with:
           node-version: 20
+
       - name: Install dependencies
         run: |
           cd frontend
           npm install --frozen-lockfile
+
       - name: Lint
         run: |
           cd frontend
           npm run lint
 
-  # Run lint on the python code
   lint-python:
     name: Lint python
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
       - name: Set up python
         uses: actions/setup-python@v5
         with:
@@ -46,4 +41,8 @@ jobs:
       - name: Install pre-commit
         run: pip install pre-commit==3.7.0
       - name: Run pre-commit hooks
-        run: pre-commit run --files openhands/**/* agenthub/**/* evaluation/**/* tests/**/* --show-diff-on-failure --config ./dev_config/python/.pre-commit-config.yaml
+        run: |
+          pre-commit run \
+            --all-files \
+            --show-diff-on-failure \
+            --config ./dev_config/python/.pre-commit-config.yaml

.github/workflows/py-unit-tests.yml

@@ -1,126 +0,0 @@
-# Workflow that runs python unit tests
-name: Run Python Unit Tests
-
-# The jobs in this workflow are required, so they must run at all times
-# * Always run on "main"
-# * Always run on PRs
-on:
-  push:
-    branches:
-      - main
-  pull_request:
-
-jobs:
-  # Run python unit tests on macOS
-  test-on-macos:
-    name: Python Unit Tests 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: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python-version }}
-      - name: Cache Poetry dependencies
-        uses: actions/cache@v4
-        with:
-          path: |
-            ~/.cache/pypoetry
-            ~/.virtualenvs
-          key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
-          restore-keys: |
-            ${{ runner.os }}-poetry-
-      - name: Install poetry via pipx
-        run: pipx install poetry
-      - name: Install Python dependencies using Poetry
-        run: poetry install --without evaluation,llama-index
-      - name: Install & Start Docker
-        if: env.INSTALL_DOCKER == '1'
-        run: |
-          INSTANCE_NAME="colima-${GITHUB_RUN_ID}"
-
-          # Uninstall colima to upgrade to the latest version
-          if brew list colima &>/dev/null; then
-            brew uninstall colima
-            # unlinking colima dependency: go
-            brew uninstall go@1.21
-          fi
-          rm -rf ~/.colima ~/.lima
-          brew install --HEAD colima
-          brew install docker
-
-          start_colima() {
-            # Find a free port in the range 10000-20000
-            RANDOM_PORT=$((RANDOM % 10001 + 10000))
-
-            # Original line:
-            if ! colima start --network-address --arch x86_64 --cpu=1 --memory=1 --verbose --ssh-port $RANDOM_PORT; then
-              echo "Failed to start Colima."
-              return 1
-            fi
-            return 0
-          }
-
-          # Attempt to start Colima for 5 total attempts:
-          ATTEMPT_LIMIT=5
-          for ((i=1; i<=ATTEMPT_LIMIT; i++)); do
-
-            if start_colima; then
-              echo "Colima started successfully."
-              break
-            else
-              colima stop -f
-              sleep 10
-              colima delete -f
-              if [ $i -eq $ATTEMPT_LIMIT ]; then
-                exit 1
-              fi
-              sleep 10
-            fi
-          done
-
-          # For testcontainers to find the Colima socket
-          # https://github.com/abiosoft/colima/blob/main/docs/FAQ.md#cannot-connect-to-the-docker-daemon-at-unixvarrundockersock-is-the-docker-daemon-running
-          sudo ln -sf $HOME/.colima/default/docker.sock /var/run/docker.sock
-      - name: Build Environment
-        run: make build
-      - name: Run Tests
-        run: poetry run pytest --forked --cov=agenthub --cov=openhands --cov-report=xml ./tests/unit
-      - name: Upload coverage to Codecov
-        uses: codecov/codecov-action@v4
-        env:
-          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
-
-  # Run python unit tests on Linux
-  test-on-linux:
-    name: Python Unit Tests on Linux
-    runs-on: ubuntu-latest
-    env:
-      INSTALL_DOCKER: '0' # Set to '0' to skip Docker installation
-    strategy:
-      matrix:
-        python-version: ['3.11']
-    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,llama-index
-      - name: Build Environment
-        run: make build
-      - name: Run Tests
-        run: poetry run pytest --forked --cov=agenthub --cov=openhands --cov-report=xml -svv ./tests/unit
-      - name: Upload coverage to Codecov
-        uses: codecov/codecov-action@v4
-        env:
-          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

.github/workflows/pypi-release.yml

@@ -1,31 +0,0 @@
-# Publishes the OpenHands PyPi package
-name: Publish PyPi Package
-
-# Triggered manually
-on:
-  workflow_dispatch:
-    inputs:
-      reason:
-        description: 'Reason for manual trigger'
-        required: true
-        default: ''
-
-jobs:
-  release:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - uses: actions/setup-python@v5
-        with:
-          python-version: 3.11
-      - 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: poetry build -v
-      - name: publish
-        run: poetry publish -u __token__ -p ${{ secrets.PYPI_TOKEN }}

.github/workflows/regenerate_integration_tests.yml

@@ -1,70 +0,0 @@
-
-name: Regenerate Integration Tests
-
-on:
-  workflow_dispatch:
-    inputs:
-      debug:
-        description: 'Enable debug mode'
-        type: boolean
-        default: true
-      log_to_file:
-        description: 'Enable logging to file'
-        type: boolean
-        default: true
-      force_regenerate_tests:
-        description: 'Force regeneration of tests'
-        type: boolean
-        default: false
-      force_use_llm:
-        description: 'Force use of LLM'
-        type: boolean
-        default: false
-
-jobs:
-  regenerate_integration_tests:
-    if: github.ref != 'refs/heads/main'
-    runs-on: ubuntu-latest
-
-    steps:
-    - name: Checkout repository
-      uses: actions/checkout@v4
-    - name: Set up Python
-      uses: actions/setup-python@v5
-      with:
-        python-version: "3.11"
-    - name: Cache Poetry dependencies
-      uses: actions/cache@v4
-      with:
-        path: |
-          ~/.cache/pypoetry
-          ~/.virtualenvs
-        key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
-        restore-keys: |
-          ${{ runner.os }}-poetry-
-    - name: Install poetry via pipx
-      run: pipx install poetry
-    - name: Install Python dependencies using Poetry
-      run: make install-python-dependencies
-    - name: Build Environment
-      run: make build
-    - name: Regenerate integration tests
-      run: |
-        DEBUG=${{ inputs.debug }} \
-        LOG_TO_FILE=${{ inputs.log_to_file }} \
-        FORCE_REGENERATE_TESTS=${{ inputs.force_regenerate_tests }} \
-        FORCE_USE_LLM=${{ inputs.force_use_llm }} \
-        ./tests/integration/regenerate.sh
-    - name: Commit changes
-      run: |
-        if git diff --quiet --exit-code; then
-          echo "No changes to commit"
-          exit 0
-        fi
-
-        git config --global user.name 'github-actions[bot]'
-        git config --global user.email 'github-actions[bot]@users.noreply.github.com'
-        git add .
-        # run it twice in case pre-commit makes changes
-        git commit -am "Regenerate integration tests" || git commit -am "Regenerate integration tests"
-        git push

.github/workflows/review-pr.yml

@@ -1,5 +1,4 @@
-# Workflow that uses OpenHands to review a pull request. PR must be labeled 'review-this'
-name: Use OpenHands to Review Pull Request
+name: Use OpenDevin to Review Pull Request
 
 on:
   pull_request:
@@ -13,28 +12,29 @@ jobs:
   dogfood:
     if: contains(github.event.pull_request.labels.*.name, 'review-this')
     runs-on: ubuntu-latest
+    container:
+      image: ghcr.io/opendevin/opendevin
+      volumes:
+        - /var/run/docker.sock:/var/run/docker.sock
+
     steps:
-    - uses: actions/checkout@v4
-    - name: Set up Python
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.11'
     - name: install git, github cli
       run: |
-        sudo apt-get install -y git gh
+        apt-get install -y git gh
         git config --global --add safe.directory $PWD
+
     - name: Checkout Repository
       uses: actions/checkout@v4
       with:
         ref: ${{ github.event.pull_request.base.ref }} # check out the target branch
+
     - name: Download Diff
       run: |
         curl -O "${{ github.event.pull_request.diff_url }}" -L
+
     - name: Write Task File
       run: |
-        echo "Your coworker wants to apply a pull request to this project." > task.txt
-        echo "Read and review ${{ github.event.pull_request.number }}.diff file. Create a review-${{ github.event.pull_request.number }}.txt and write your concise comments and suggestions there." >> task.txt
-        echo "Do not ask me for confirmation at any point." >> task.txt
+        echo "Your coworker wants to apply a pull request to this project. Read and review ${{ github.event.pull_request.number }}.diff file. Create a review-${{ github.event.pull_request.number }}.txt and write your concise comments and suggestions there." > task.txt
         echo "" >> task.txt
         echo "Title" >> task.txt
         echo "${{ github.event.pull_request.title }}" >> task.txt
@@ -43,25 +43,15 @@ jobs:
         echo "${{ github.event.pull_request.body }}" >> task.txt
         echo "" >> task.txt
         echo "Diff file is: ${{ github.event.pull_request.number }}.diff" >> task.txt
-    - name: Set up environment
-      run: |
-        curl -sSL https://install.python-poetry.org | python3 -
-        export PATH="/github/home/.local/bin:$PATH"
-        poetry install --without evaluation,llama-index
-        poetry run playwright install --with-deps chromium
-    - name: Run OpenHands
+
+    - name: Run OpenDevin
       env:
-        LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
-        LLM_MODEL: ${{ vars.LLM_MODEL }}
+        LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+        SANDBOX_TYPE: exec
       run: |
-        # Append path to launch poetry
-        export PATH="/github/home/.local/bin:$PATH"
-        # Append path to correctly import package, note: must set pwd at first
-        export PYTHONPATH=$(pwd):$PYTHONPATH
-        export WORKSPACE_MOUNT_PATH=$GITHUB_WORKSPACE
-        export WORKSPACE_BASE=$GITHUB_WORKSPACE
-        echo -e "/exit\n" | poetry run python openhands/core/main.py -i 50 -f task.txt
+        WORKSPACE_MOUNT_PATH=$GITHUB_WORKSPACE python ./opendevin/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: |
@@ -70,6 +60,7 @@ jobs:
           echo "non_empty=true" >> $GITHUB_OUTPUT
         fi
       shell: bash
+
     - name: Create PR review if file is non-empty
       env:
         GH_TOKEN: ${{ github.token }}

.github/workflows/run-integration-tests.yml

@@ -0,0 +1,72 @@
+name: Run Integration Tests
+
+on:
+  push:
+    branches:
+    - main
+  pull_request:
+
+jobs:
+  integration-tests:
+    name: Integration Tests
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.11"]
+        agent: ["SWEAgent", "PlannerAgent", "MonologueAgent", "CodeActAgent"]
+        sandbox: ["ssh", "exec"]
+        include:
+          - agent: "MonologueAgent"
+            embedding-model: "local"
+          - agent: "MonologueAgent"
+            # sufficient to have one agent testing against local sandbox
+            sandbox: "local"
+            embedding-model: "local"
+          - agent: "SWEAgent"
+            embedding-model: "none"
+          - agent: "PlannerAgent"
+            embedding-model: "none"
+          - agent: "CodeActAgent"
+            embedding-model: "none"
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install poetry via pipx
+        run: pipx install poetry
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.11'
+          cache: 'poetry'
+
+      - name: Install Python dependencies using Poetry
+        run: poetry install
+
+      - name: Build Environment
+        run: make build
+
+      - name: Run Integration Tests
+        env:
+          SANDBOX_TYPE: ${{ matrix.sandbox }}
+          AGENT: ${{ matrix.agent }}
+          MAX_ITERATIONS: 10
+          LLM_EMBEDDING_MODEL: ${{ matrix.embedding-model }}
+        run: |
+          rm -rf workspace
+          mkdir workspace
+          WORKSPACE_BASE="$GITHUB_WORKSPACE/workspace" \
+            WORKSPACE_MOUNT_PATH="$GITHUB_WORKSPACE/workspace" \
+            poetry run pytest --cov=agenthub --cov=opendevin --cov-report=xml \
+            -s ./tests/integration
+      - name: Upload coverage to Codecov
+        uses: codecov/codecov-action@v4
+        env:
+          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
+  test_matrix_success:
+    name: All Integration Tests Passed
+    runs-on: ubuntu-latest
+    needs: [integration-tests]
+    steps:
+    - run: echo Done!

.github/workflows/run-unit-tests.yml

@@ -0,0 +1,88 @@
+name: Run Unit Tests
+
+on:
+  push:
+    branches:
+    - main
+  pull_request:
+
+jobs:
+  test-on-macos:
+    name: Test on macOS
+    runs-on: macos-13
+    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
+        run: |
+          brew install colima docker
+          colima start
+
+          # For testcontainers to find the Colima socket
+          # https://github.com/abiosoft/colima/blob/main/docs/FAQ.md#cannot-connect-to-the-docker-daemon-at-unixvarrundockersock-is-the-docker-daemon-running
+          sudo ln -sf $HOME/.colima/default/docker.sock /var/run/docker.sock
+
+      - name: Build Environment
+        run: make build
+
+      - name: Run Tests
+        run: poetry run pytest --cov=agenthub --cov=opendevin --cov-report=xml ./tests/unit
+
+      - 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
+    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 --cov=agenthub --cov=opendevin --cov-report=xml ./tests/unit
+
+      - name: Upload coverage to Codecov
+        uses: codecov/codecov-action@v4
+        env:
+          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
+  test_matrix_success:
+    name: All Mac/Linux Tests Passed
+    runs-on: ubuntu-latest
+    needs: [test-on-macos, test-on-linux]
+    steps:
+    - run: echo Done!

.github/workflows/solve-issue.yml

@@ -1,5 +1,4 @@
-# Workflow that uses OpenHands to resolve a GitHub issue. Issue must be labeled 'solve-this'
-name: Use OpenHands to Resolve GitHub Issue
+name: Use OpenDevin to Resolve GitHub Issue
 
 on:
   issues:
@@ -15,14 +14,17 @@ jobs:
     if: github.event.label.name == 'solve-this'
     runs-on: ubuntu-latest
     container:
-      image: ghcr.io/all-hands-ai/openhands
+      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: ${{ github.event.issue.title }}
@@ -33,31 +35,23 @@ jobs:
         echo "" >> task.txt
         echo "BODY:" >> task.txt
         echo "${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,llama-index
-        poetry run playwright install --with-deps chromium
-    - name: Run OpenHands
+
+    - 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: ${{ secrets.OPENAI_API_KEY }}
+        SANDBOX_TYPE: exec
       run: |
-        # Append path to launch poetry
-        export PATH="/github/home/.local/bin:$PATH"
-        # Append path to correctly import package, note: must set pwd at first
-        export PYTHONPATH=$(pwd):$PYTHONPATH
-        WORKSPACE_MOUNT_PATH=$GITHUB_WORKSPACE poetry run python ./openhands/core/main.py -i 50 -f task.txt -d $GITHUB_WORKSPACE
+        WORKSPACE_MOUNT_PATH=$GITHUB_WORKSPACE python ./opendevin/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 'OpenHands'
-        git config --global user.email 'OpenHands@users.noreply.github.com'
+        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)"
@@ -69,7 +63,7 @@ jobs:
         git add --all -- ':!task.txt'
 
         # Commit the changes, if any
-        git commit -m "OpenHands: Resolve Issue #${{ github.event.issue.number }}"
+        git commit -m "OpenDevin: Resolve Issue #${{ github.event.issue.number }}"
         if [ $? -ne 0 ]; then
           echo "No changes to commit."
           exit 0
@@ -77,6 +71,7 @@ jobs:
 
         # Push changes
         git push --set-upstream origin $BRANCH_NAME
+
     - name: Fetch Default Branch
       env:
         GH_TOKEN: ${{ github.token }}
@@ -85,15 +80,16 @@ jobs:
         DEFAULT_BRANCH=$(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 "OpenHands: Resolve Issue #2" \
-          --body "This PR was generated by OpenHands to resolve issue #2" \
-          --repo "foragerr/OpenHands" \
+          --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/[^ ]*')
@@ -110,4 +106,4 @@ jobs:
         GH_TOKEN: ${{ github.token }}
       run: |
         gh issue comment ${{ github.event.issue.number }} \
-          -b "OpenHands raised [PR #${{ env.PR_NUMBER }}](${{ env.PR_URL }}) to resolve this issue."
+          -b "OpenDevin raised [PR #${{ env.PR_NUMBER }}](${{ env.PR_URL }}) to resolve this issue."

.github/workflows/stale.yml

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

.gitignore

@@ -126,7 +126,6 @@ env/
 venv/
 ENV/
 env.bak/
-.env.bak
 venv.bak/
 *venv/
 
@@ -161,18 +160,9 @@ cython_debug/
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 .idea/
 .vscode/
-.cursorignore
 
 # evaluation
-evaluation/evaluation_outputs
-evaluation/outputs
-evaluation/swe_bench/eval_workspace*
 evaluation/SWE-bench/data
-evaluation/webarena/scripts/webarena_env.sh
-evaluation/bird/data
-evaluation/gaia/data
-evaluation/gorilla/data
-evaluation/toolqa/data
 
 # frontend
 
@@ -185,8 +175,6 @@ frontend/yarn.lock
 
 # testing
 frontend/coverage
-test_results*
-/_test_files_tmp/
 
 # production
 frontend/build
@@ -208,24 +196,8 @@ logs
 # agent
 .envrc
 /workspace
-/_test_workspace
 /debug
 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

CONTRIBUTING.md

@@ -1,57 +1,36 @@
 # Contributing
 
-Thanks for your interest in contributing to OpenHands! 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/All-Hands-AI/OpenHands/issues) when you encounter something that isn't working or a feature that you'd like to see.
-2. **Send feedback** after each session by [clicking the thumbs-up thumbs-down buttons](https://docs.all-hands.dev/modules/usage/feedback), so we can see where things are working and failing, and also build an open dataset for training code agents.
-3. **Improve the Codebase** by sending PRs (see details below). In particular, we have some [good first issue](https://github.com/All-Hands-AI/OpenHands/labels/good%20first%20issue) issues that may be ones to start on.
-
-## Understanding OpenHands's 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)
-- [openhands](./openhands/README.md)
-    - [server](./openhands/server/README.md)
-
-When you write code, it is also good to write tests. Please navigate to the `tests` folder to see existing test suites.
-At the moment, we have two kinds of tests: `unit` and `integration`. Please refer to the README for each test suite. These tests also run on GitHub's continuous integration to ensure quality of the project.
-
-## Sending Pull Requests to OpenHands
+Thanks for your interest in contributing to OpenDevin! We welcome and appreciate contributions.
+To report bugs, create a [GitHub issue](https://github.com/OpenDevin/OpenDevin/issues/new/choose).
 
+## Contribution Guide
 ### 1. Fork the Official Repository
-Fork the [OpenHands repository](https://github.com/All-Hands-AI/OpenHands) into your own account.
-Clone your own forked repository into your local environment:
+
+Fork [OpenDevin repository](https://github.com/OpenDevin/OpenDevin) into your own account.
+Clone your own forked repository into your local environment.
 
 ```shell
-git clone git@github.com:<YOUR-USERNAME>/OpenHands.git
+git clone git@github.com:<YOUR-USERNAME>/OpenDevin.git
 ```
 
 ### 2. Configure Git
 
 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:
+Add the original repository as upstream
 
 ```shell
-cd OpenHands
-git remote add upstream git@github.com:All-Hands-AI/OpenHands.git
+cd OpenDevin
+git remote add upstream git@github.com:OpenDevin/OpenDevin.git
 ```
 
-Verify that the remote is set:
-
+Verify that the remote is set.
 ```shell
 git remote -v
 ```
-
 You should see both `origin` and `upstream` in the output.
 
 ### 3. Synchronize with Official Repository
-Synchronize latest commit with official repository before coding:
+Synchronize latest commit with official repository before coding.
 
 ```shell
 git fetch upstream
@@ -60,48 +39,25 @@ git merge upstream/main
 git push origin main
 ```
 
-### 4. Set up the Development Environment
+### 4. Create a New Branch And Open a Pull Request
+After you finish implementation, open forked repository. The source branch is your new branch, and the target branch is `OpenDevin/OpenDevin` `main` branch. Then PR should appears in [OpenDevin PRs](https://github.com/OpenDevin/OpenDevin/pulls).
 
-We have a separate doc [Development.md](https://github.com/All-Hands-AI/OpenHands/blob/main/Development.md) that tells you how to set up a development workflow.
-
-### 5. Write Code and Commit It
-
-Once you have done this, you can write code, test it, and commit it to a branch (replace `my_branch` with an appropriate name):
-
-```shell
-git checkout -b my_branch
-git add .
-git commit
-git push origin my_branch
-```
-
-### 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 `All-Hands-AI/OpenHands`
-   - Set `base` to `main`
-   - Click `Create pull request`
-
-The PR should appear in [OpenHands PRs](https://github.com/All-Hands-AI/OpenHands/pulls).
-
-Then the OpenHands team will review your code.
+Then 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:
+
+As described in [here](https://github.com/commitizen/conventional-commit-types/blob/master/index.json), a valid PR title should begin with one of the following prefixes:
 
 - `feat`: A new feature
 - `fix`: A bug fix
-- `docs`: Documentation only changes
-- `style`: Changes that do not affect the meaning of the code (white space, formatting, missing semicolons, etc.)
+- `doc`: Documentation only changes
 - `refactor`: A code change that neither fixes a bug nor adds a feature
+- `style`: A refactoring that improves code style
 - `perf`: A code change that improves performance
 - `test`: Adding missing tests or correcting existing tests
-- `build`: Changes that affect the build system or external dependencies (example scopes: gulp, broccoli, npm)
-- `ci`: Changes to our CI configuration files and scripts (example scopes: Travis, Circle, BrowserStack, SauceLabs)
+- `ci`: Changes to CI configuration files and scripts (example scopes: `.github`, `ci` (Buildkite))
 - `chore`: Other changes that don't modify src or test files
 - `revert`: Reverts a previous commit
 
@@ -109,8 +65,26 @@ For example, a PR title could be:
 - `refactor: modify package path`
 - `feat(frontend): xxxx`, where `(frontend)` means that this PR mainly focuses on the frontend component.
 
-You may also check out previous PRs in the [PR list](https://github.com/All-Hands-AI/OpenHands/pulls).
+You may also check out previous PRs in the [PR list](https://github.com/OpenDevin/OpenDevin/pulls).
+
+As described in [here](https://github.com/OpenDevin/OpenDevin/labels), we create several labels. Every PR should be tagged with the corresponding labels.
 
 ### 2. Pull Request description
+
 - If your PR is small (such as a typo fix), you can go brief.
-- If it contains a lot of changes, it's better to write more details.
+- If it is large and you have changed a lot, it's better to write more details.
+
+
+## How to begin
+Please refer to the README in each module:
+- [frontend](./frontend/README.md)
+- [agenthub](./agenthub/README.md)
+- [evaluation](./evaluation/README.md)
+- [opendevin](./opendevin/README.md)
+    - [server](./opendevin/server/README.md)
+    - [mock server](./opendevin/mock/README.md)
+
+## Tests
+Please navigate to `tests` folder to see existing test suites.
+At the moment, we have two kinds of tests: `unit` and `integration`. Please refer to the README for each test suite. These tests also run on CI to ensure quality of
+the project.

CREDITS.md

@@ -1,312 +0,0 @@
-# Credits
-
-## Contributors
-
-We would like to thank all the [contributors](https://github.com/All-Hands-AI/OpenHands/graphs/contributors) who have helped make OpenHands possible. Your dedication and hard work are greatly appreciated.
-
-## 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 agenthub
-
-#### [Aider](https://github.com/paul-gauthier/aider)
-   - License: Apache License 2.0
-   - Description: AI pair programming tool. OpenHands has adapted and integrated its linter module for code-related tasks in [`agentskills utilities`](https://github.com/All-Hands-AI/OpenHands/tree/main/openhands/runtime/plugins/agent_skills/utils/aider)
-
-#### [BrowserGym](https://github.com/ServiceNow/BrowserGym)
-   - License: Apache License 2.0
-   - Description: Adapted in implementing the browsing agent
-
-
-### Reference Implementations for Evaluation Benchmarks
-OpenHands integrates code of the reference implementations for the following agent evaluation benchmarks:
-
-#### [HumanEval](https://github.com/openai/human-eval)
-   - License: MIT License
-
-#### [DSP](https://github.com/microsoft/DataScienceProblems)
-   - License: MIT License
-
-#### [HumanEvalPack](https://github.com/bigcode-project/bigcode-evaluation-harness)
-   - License: Apache License 2.0
-
-#### [AgentBench](https://github.com/THUDM/AgentBench)
-   - License: Apache License 2.0
-
-#### [SWE-Bench](https://github.com/princeton-nlp/SWE-bench)
-   - License: MIT License
-
-#### [BIRD](https://bird-bench.github.io/)
-   - License: MIT License
-   - Dataset: CC-BY-SA 4.0
-
-#### [Gorilla APIBench](https://github.com/ShishirPatil/gorilla)
-   - License: Apache License 2.0
-
-#### [GPQA](https://github.com/idavidrein/gpqa)
-   - License: MIT License
-
-#### [ProntoQA](https://github.com/asaparov/prontoqa)
-   - License: Apache License 2.0
-
-
-## Open Source licenses
-
-### MIT License
-
-Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
-### BSD 3-Clause License
-
-Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
-
-1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
-
-2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
-
-3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
-
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
-### Apache License 2.0
-
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-      comment syntax for the file format. We also recommend that a
-      file or class name and description of purpose be included on the
-      same "printed page" as the copyright notice for easier
-      identification within third-party archives.
-
-   Copyright [yyyy] [name of copyright owner]
-
-
-
-### Non-Open Source Reference Implementations:
-
-#### [MultiPL-E](https://github.com/nuprl/MultiPL-E)
-   - License: BSD 3-Clause License with Machine Learning Restriction
-
-BSD 3-Clause License with Machine Learning Restriction
-
-Copyright (c) 2022, Northeastern University, Oberlin College, Roblox Inc,
-Stevens Institute of Technology, University of Massachusetts Amherst, and
-Wellesley College.
-
-All rights reserved.
-
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are met:
-
-1. Redistributions of source code must retain the above copyright notice, this
-   list of conditions and the following disclaimer.
-
-2. Redistributions in binary form must reproduce the above copyright notice,
-   this list of conditions and the following disclaimer in the documentation
-   and/or other materials provided with the distribution.
-
-3. Neither the name of the copyright holder nor the names of its
-   contributors may be used to endorse or promote products derived from
-   this software without specific prior written permission.
-
-4.  The contents of this repository may not be used as training data for any
-    machine learning model, including but not limited to neural networks.
-
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
-DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
-FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
-DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
-SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
-OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

CodeOfConduct.md

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

Development.md

@@ -1,16 +1,14 @@
 # Development Guide
-This guide is for people working on OpenHands and editing the source code.
-If you wish to contribute your changes, check out the [CONTRIBUTING.md](https://github.com/All-Hands-AI/OpenHands/blob/main/CONTRIBUTING.md) on how to clone and setup the project initially before moving on.
-Otherwise, you can clone the OpenHands project directly.
+This guide is for people working on OpenDevin and editing the source code.
 
 ## Start the server for development
+
 ### 1. Requirements
-* Linux, Mac OS, or [WSL on Windows](https://learn.microsoft.com/en-us/windows/wsl/install)  [ Ubuntu <= 22.04]
-* [Docker](https://docs.docker.com/engine/install/) (For those on MacOS, make sure to allow the default Docker socket to be used from advanced settings!)
-* [Python](https://www.python.org/downloads/) = 3.11
+* Linux, Mac OS, or [WSL on Windows](https://learn.microsoft.com/en-us/windows/wsl/install)
+* [Docker](https://docs.docker.com/engine/install/)(For those on MacOS, make sure to allow the default Docker socket to be used from advanced settings!)
+* [Python](https://www.python.org/downloads/) >= 3.11
 * [NodeJS](https://nodejs.org/en/download/package-manager) >= 18.17.1
 * [Poetry](https://python-poetry.org/docs/#installing-with-the-official-installer) >= 1.8
-* netcat => sudo apt-get install netcat
 
 Make sure you have all these dependencies installed before moving on to `make build`.
 
@@ -29,40 +27,41 @@ mamba install conda-forge::poetry
 ```
 
 ### 2. Build and Setup The Environment
-Begin by building the project which includes setting up the environment and installing dependencies. This step ensures that OpenHands is ready to run on your system:
 
-```bash
-make build
-```
+- **Build the Project:** Begin by building the project, which includes setting up the environment and installing dependencies. This step ensures that OpenDevin is ready to run smoothly on your system.
+    ```bash
+    make build
+    ```
 
 ### 3. Configuring the Language Model
-OpenHands supports a diverse array of Language Models (LMs) through the powerful [litellm](https://docs.litellm.ai) library. By default, we've chosen the mighty GPT-4 from OpenAI as our go-to model, but the world is your oyster! You can unleash the potential of Anthropic's suave Claude, the enigmatic Llama, or any other LM that piques your interest.
 
-To configure the LM of your choice, run:
+OpenDevin supports a diverse array of Language Models (LMs) through the powerful [litellm](https://docs.litellm.ai) library. By default, we've chosen the mighty GPT-4 from OpenAI as our go-to model, but the world is your oyster! You can unleash the potential of Anthropic's suave Claude, the enigmatic Llama, or any other LM that piques your interest.
 
+To configure the LM of your choice, follow these steps:
+
+1. **Using the Makefile: The Effortless Approach**
+   With a single command, you can have a smooth LM setup for your OpenDevin experience. Simply run:
    ```bash
    make setup-config
    ```
-
-   This command will prompt you to enter the LLM API key, model name, and other variables ensuring that OpenHands is tailored to your specific needs. Note that the model name will apply only when you run headless. If you use the UI, please set the model in the UI.
-
-   Note: If you have previously run OpenHands using the docker command, you may have already set some environmental variables in your terminal. The final configurations are set from highest to lowest priority:
-   Environment variables > config.toml variables > default variables
+   This command will prompt you to enter the LLM API key, model name, and other variables ensuring that OpenDevin is tailored to your specific needs. Note that the model name will apply only when you run headless. If you use the UI, please set the model in the UI.
 
 **Note on Alternative Models:**
-Some alternative models may prove more challenging to tame than others. Fear not, brave adventurer! We shall soon unveil LLM-specific documentation to guide you on your quest.
-And if you've already mastered the art of wielding a model other than OpenAI's GPT, we encourage you to share your setup instructions with us by creating instructions and adding it [to our documentation](https://github.com/All-Hands-AI/OpenHands/tree/main/docs/modules/usage/llms).
+Some alternative models may prove more challenging to tame than others. Fear not, brave adventurer! We shall soon unveil LLM-specific documentation to guide you on your quest. And if you've already mastered the art of wielding a model other than OpenAI's GPT, we encourage you to [share your setup instructions with us](https://github.com/OpenDevin/OpenDevin/issues/417).
 
 For a full list of the LM providers and models available, please consult the [litellm documentation](https://docs.litellm.ai/docs/providers).
 
-### 4. Running the application
-#### Option A: Run the Full Application
-Once the setup is complete, launching OpenHands is as simple as running a single command. This command starts both the backend and frontend servers seamlessly, allowing you to interact with OpenHands:
-```bash
-make run
-```
+There is also [documentation for running with local models using ollama](./docs/documentation/LOCAL_LLM_GUIDE.md).
+
+### 4. Run the Application
+
+- **Run the Application:** Once the setup is complete, launching OpenDevin is as simple as running a single command. This command starts both the backend and frontend servers seamlessly, allowing you to interact with OpenDevin without any hassle.
+    ```bash
+    make run
+    ```
+
+### 5. Individual Server Startup
 
-#### Option B: Individual Server Startup
 - **Start the Backend Server:** If you prefer, you can start the backend server independently to focus on backend-related tasks or configurations.
     ```bash
     make start-backend
@@ -74,51 +73,24 @@ make run
     ```
 
 ### 6. LLM Debugging
-If you encounter any issues with the Language Model (LM) or you're simply curious, you can inspect the actual LLM prompts and responses. To do so, export DEBUG=1 in the environment and restart the backend.
-OpenHands will then log the prompts and responses in the logs/llm/CURRENT_DATE directory, allowing you to identify the causes.
+
+If you encounter any issues with the Language Model (LM) or you're simply curious, you can inspect the actual LLM prompts and responses. To do so, export DEBUG=1 in the environment and restart the backend. OpenDevin will then log the prompts and responses in the logs/llm/CURRENT_DATE directory, allowing you to identify the causes.
 
 ### 7. Help
-Need assistance or information on available targets and commands? The help command provides all the necessary guidance to ensure a smooth experience with OpenHands.
-```bash
-make help
- ```
+
+- **Get Some Help:** Need assistance or information on available targets and commands? The help command provides all the necessary guidance to ensure a smooth experience with OpenDevin.
+    ```bash
+    make help
+    ```
 
 ### 8. Testing
-To run tests, refer to the following:
+
 #### Unit tests
 
 ```bash
-poetry run pytest ./tests/unit/test_*.py
+poetry run pytest ./tests/unit/test_sandbox.py
 ```
 
 #### Integration tests
+
 Please refer to [this README](./tests/integration/README.md) for details.
-
-### 9. Add or update dependency
-1. Add your dependency in `pyproject.toml` or use `poetry add xxx`
-2. Update the poetry.lock file via `poetry lock --no-update`
-
-## 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.

ISSUE_TRIAGE.md

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

MANIFEST.in

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

Makefile

@@ -1,16 +1,15 @@
 SHELL=/bin/bash
-# Makefile for OpenHands project
+# Makefile for OpenDevin project
 
 # Variables
-BACKEND_HOST ?= "127.0.0.1"
+DOCKER_IMAGE = ghcr.io/opendevin/sandbox
 BACKEND_PORT = 3000
-BACKEND_HOST_PORT = "$(BACKEND_HOST):$(BACKEND_PORT)"
+BACKEND_HOST = "127.0.0.1:$(BACKEND_PORT)"
 FRONTEND_PORT = 3001
 DEFAULT_WORKSPACE_DIR = "./workspace"
-DEFAULT_MODEL = "gpt-4o"
+DEFAULT_MODEL = "gpt-3.5-turbo-1106"
 CONFIG_FILE = config.toml
-PRE_COMMIT_CONFIG_PATH = "./dev_config/python/.pre-commit-config.yaml"
-PYTHON_VERSION = 3.11
+PRECOMMIT_CONFIG_PATH = "./dev_config/python/.pre-commit-config.yaml"
 
 # ANSI color codes
 GREEN=$(shell tput -Txterm setaf 2)
@@ -23,9 +22,10 @@ RESET=$(shell tput -Txterm sgr0)
 build:
 	@echo "$(GREEN)Building project...$(RESET)"
 	@$(MAKE) -s check-dependencies
+	@$(MAKE) -s pull-docker-image
 	@$(MAKE) -s install-python-dependencies
 	@$(MAKE) -s install-frontend-dependencies
-	@$(MAKE) -s install-pre-commit-hooks
+	@$(MAKE) -s install-precommit-hooks
 	@$(MAKE) -s build-frontend
 	@echo "$(GREEN)Build completed successfully.$(RESET)"
 
@@ -35,9 +35,7 @@ check-dependencies:
 	@$(MAKE) -s check-python
 	@$(MAKE) -s check-npm
 	@$(MAKE) -s check-nodejs
-ifeq ($(INSTALL_DOCKER),)
 	@$(MAKE) -s check-docker
-endif
 	@$(MAKE) -s check-poetry
 	@echo "$(GREEN)Dependencies checked successfully.$(RESET)"
 
@@ -46,11 +44,7 @@ check-system:
 	@if [ "$(shell uname)" = "Darwin" ]; then \
 		echo "$(BLUE)macOS detected.$(RESET)"; \
 	elif [ "$(shell uname)" = "Linux" ]; then \
-		if [ -f "/etc/manjaro-release" ]; then \
-			echo "$(BLUE)Manjaro Linux detected.$(RESET)"; \
-		else \
-			echo "$(BLUE)Linux detected.$(RESET)"; \
-		fi; \
+		echo "$(BLUE)Linux detected.$(RESET)"; \
 	elif [ "$$(uname -r | grep -i microsoft)" ]; then \
 		echo "$(BLUE)Windows Subsystem for Linux detected.$(RESET)"; \
 	else \
@@ -60,10 +54,10 @@ check-system:
 
 check-python:
 	@echo "$(YELLOW)Checking Python installation...$(RESET)"
-	@if command -v python$(PYTHON_VERSION) > /dev/null; then \
-		echo "$(BLUE)$(shell python$(PYTHON_VERSION) --version) is already installed.$(RESET)"; \
+	@if command -v python3.11 > /dev/null; then \
+		echo "$(BLUE)$(shell python3.11 --version) is already installed.$(RESET)"; \
 	else \
-		echo "$(RED)Python $(PYTHON_VERSION) is not installed. Please install Python $(PYTHON_VERSION) to continue.$(RESET)"; \
+		echo "$(RED)Python 3.11 is not installed. Please install Python 3.11 to continue.$(RESET)"; \
 		exit 1; \
 	fi
 
@@ -110,78 +104,53 @@ check-poetry:
 			echo "$(BLUE)$(shell poetry --version) is already installed.$(RESET)"; \
 		else \
 			echo "$(RED)Poetry 1.8 or later is required. You can install poetry by running the following command, then adding Poetry to your PATH:"; \
-			echo "$(RED) curl -sSL https://install.python-poetry.org | python$(PYTHON_VERSION) -$(RESET)"; \
+			echo "$(RED) curl -sSL https://install.python-poetry.org | python3 -$(RESET)"; \
 			echo "$(RED)More detail here: https://python-poetry.org/docs/#installing-with-the-official-installer$(RESET)"; \
 			exit 1; \
 		fi; \
 	else \
 		echo "$(RED)Poetry is not installed. You can install poetry by running the following command, then adding Poetry to your PATH:"; \
-		echo "$(RED) curl -sSL https://install.python-poetry.org | python$(PYTHON_VERSION) -$(RESET)"; \
+		echo "$(RED) curl -sSL https://install.python-poetry.org | python3.11 -$(RESET)"; \
 		echo "$(RED)More detail here: https://python-poetry.org/docs/#installing-with-the-official-installer$(RESET)"; \
 		exit 1; \
 	fi
 
+pull-docker-image:
+	@echo "$(YELLOW)Pulling Docker image...$(RESET)"
+	@docker pull $(DOCKER_IMAGE)
+	@echo "$(GREEN)Docker image pulled successfully.$(RESET)"
+
 install-python-dependencies:
 	@echo "$(GREEN)Installing Python dependencies...$(RESET)"
-	@if [ -z "${TZ}" ]; then \
-		echo "Defaulting TZ (timezone) to UTC"; \
-		export TZ="UTC"; \
-	fi
-	poetry env use python$(PYTHON_VERSION)
 	@if [ "$(shell uname)" = "Darwin" ]; then \
-		echo "$(BLUE)Installing chroma-hnswlib...$(RESET)"; \
+		echo "$(BLUE)Installing `chroma-hnswlib`...$(RESET)"; \
 		export HNSWLIB_NO_NATIVE=1; \
 		poetry run pip install chroma-hnswlib; \
 	fi
-	@poetry install --without llama-index
-	@if [ -f "/etc/manjaro-release" ]; then \
-		echo "$(BLUE)Detected Manjaro Linux. Installing Playwright dependencies...$(RESET)"; \
-		poetry run pip install playwright; \
-		poetry run playwright install chromium; \
-	else \
-		if [ ! -f cache/playwright_chromium_is_installed.txt ]; then \
-			echo "Running playwright install --with-deps chromium..."; \
-			poetry run playwright install --with-deps chromium; \
-			mkdir -p cache; \
-			touch cache/playwright_chromium_is_installed.txt; \
-		else \
-			echo "Setup already done. Skipping playwright installation."; \
-		fi \
-	fi
+	@poetry install --without evaluation
+	@poetry run playwright install --with-deps chromium
 	@echo "$(GREEN)Python dependencies installed successfully.$(RESET)"
 
 install-frontend-dependencies:
 	@echo "$(YELLOW)Setting up frontend environment...$(RESET)"
 	@echo "$(YELLOW)Detect Node.js version...$(RESET)"
 	@cd frontend && node ./scripts/detect-node-version.js
-	echo "$(BLUE)Installing frontend dependencies with npm...$(RESET)"
-	@cd frontend && npm install
+	@cd frontend && \
+		echo "$(BLUE)Installing frontend dependencies with npm...$(RESET)" && \
+		npm install && \
+		echo "$(BLUE)Running make-i18n with npm...$(RESET)" && \
+		npm run make-i18n
 	@echo "$(GREEN)Frontend dependencies installed successfully.$(RESET)"
 
-install-pre-commit-hooks:
+install-precommit-hooks:
 	@echo "$(YELLOW)Installing pre-commit hooks...$(RESET)"
 	@git config --unset-all core.hooksPath || true
-	@poetry run pre-commit install --config $(PRE_COMMIT_CONFIG_PATH)
+	@poetry run pre-commit install --config $(PRECOMMIT_CONFIG_PATH)
 	@echo "$(GREEN)Pre-commit hooks installed successfully.$(RESET)"
 
-lint-backend:
-	@echo "$(YELLOW)Running linters...$(RESET)"
-	@poetry run pre-commit run --files openhands/**/* agenthub/**/* evaluation/**/* --show-diff-on-failure --config $(PRE_COMMIT_CONFIG_PATH)
-
-lint-frontend:
-	@echo "$(YELLOW)Running linters for frontend...$(RESET)"
-	@cd frontend && npm run lint
-
 lint:
-	@$(MAKE) -s lint-frontend
-	@$(MAKE) -s lint-backend
-
-test-frontend:
-	@echo "$(YELLOW)Running tests for frontend...$(RESET)"
-	@cd frontend && npm run test
-
-test:
-	@$(MAKE) -s test-frontend
+	@echo "$(YELLOW)Running linters...$(RESET)"
+	@poetry run pre-commit run --all-files --show-diff-on-failure --config $(PRECOMMIT_CONFIG_PATH)
 
 build-frontend:
 	@echo "$(YELLOW)Building frontend...$(RESET)"
@@ -190,54 +159,29 @@ build-frontend:
 # Start backend
 start-backend:
 	@echo "$(YELLOW)Starting backend...$(RESET)"
-	@poetry run uvicorn openhands.server.listen:app --host $(BACKEND_HOST) --port $(BACKEND_PORT) --reload --reload-exclude "workspace/*"
+	@poetry run uvicorn opendevin.server.listen:app --port $(BACKEND_PORT) --reload --reload-exclude workspace/*
 
 # Start frontend
 start-frontend:
 	@echo "$(YELLOW)Starting frontend...$(RESET)"
-	@cd frontend && VITE_BACKEND_HOST=$(BACKEND_HOST_PORT) VITE_FRONTEND_PORT=$(FRONTEND_PORT) npm run start
+	@cd frontend && VITE_BACKEND_HOST=$(BACKEND_HOST) VITE_FRONTEND_PORT=$(FRONTEND_PORT) npm run start
 
-# Common setup for running the app (non-callable)
-_run_setup:
+# Run the app
+run:
+	@echo "$(YELLOW)Running the app...$(RESET)"
 	@if [ "$(OS)" = "Windows_NT" ]; then \
-		echo "$(RED) Windows is not supported, use WSL instead!$(RESET)"; \
+		echo "$(RED)`make run` is not supported on Windows. Please run `make start-frontend` and `make start-backend` separately.$(RESET)"; \
 		exit 1; \
 	fi
 	@mkdir -p logs
 	@echo "$(YELLOW)Starting backend server...$(RESET)"
-	@poetry run uvicorn openhands.server.listen:app --host $(BACKEND_HOST) --port $(BACKEND_PORT) &
+	@poetry run uvicorn opendevin.server.listen:app --port $(BACKEND_PORT) &
 	@echo "$(YELLOW)Waiting for the backend to start...$(RESET)"
 	@until nc -z localhost $(BACKEND_PORT); do sleep 0.1; done
 	@echo "$(GREEN)Backend started successfully.$(RESET)"
-
-# Run the app (standard mode)
-run:
-	@echo "$(YELLOW)Running the app...$(RESET)"
-	@$(MAKE) -s _run_setup
 	@cd frontend && echo "$(BLUE)Starting frontend with npm...$(RESET)" && npm run start -- --port $(FRONTEND_PORT)
 	@echo "$(GREEN)Application started successfully.$(RESET)"
 
-# Run the app (in docker)
-docker-run: WORKSPACE_BASE ?= $(PWD)/workspace
-docker-run:
-	@if [ -f /.dockerenv ]; then \
-		echo "Running inside a Docker container. Exiting..."; \
-		exit 0; \
-	else \
-		echo "$(YELLOW)Running the app in Docker $(OPTIONS)...$(RESET)"; \
-		export WORKSPACE_BASE=${WORKSPACE_BASE}; \
-		export SANDBOX_USER_ID=$(shell id -u); \
-		export DATE=$(shell date +%Y%m%d%H%M%S); \
-		docker compose up $(OPTIONS); \
-	fi
-
-# Run the app (WSL mode)
-run-wsl:
-	@echo "$(YELLOW)Running the app in WSL mode...$(RESET)"
-	@$(MAKE) -s _run_setup
-	@cd frontend && echo "$(BLUE)Starting frontend with npm (WSL mode)...$(RESET)" && npm run dev_wsl -- --port $(FRONTEND_PORT)
-	@echo "$(GREEN)Application started successfully in WSL mode.$(RESET)"
-
 # Setup config.toml
 setup-config:
 	@echo "$(YELLOW)Setting up config.toml...$(RESET)"
@@ -246,24 +190,15 @@ setup-config:
 	@echo "$(GREEN)Config.toml setup completed.$(RESET)"
 
 setup-config-prompts:
-	@echo "[core]" > $(CONFIG_FILE).tmp
-
-	@read -p "Enter your workspace directory (as absolute path) [default: $(DEFAULT_WORKSPACE_DIR)]: " workspace_dir; \
-	 workspace_dir=$${workspace_dir:-$(DEFAULT_WORKSPACE_DIR)}; \
-	 echo "workspace_base=\"$$workspace_dir\"" >> $(CONFIG_FILE).tmp
-
-	@echo "" >> $(CONFIG_FILE).tmp
-
-	@echo "[llm]" >> $(CONFIG_FILE).tmp
-	@read -p "Enter your LLM model name, used for running without UI. Set the model in the UI after you start the app. (see https://docs.litellm.ai/docs/providers for full list) [default: $(DEFAULT_MODEL)]: " llm_model; \
+	@read -p "Enter your LLM Model name, used for running without UI. Set the model in the UI after you start the app. (see https://docs.litellm.ai/docs/providers for full list) [default: $(DEFAULT_MODEL)]: " llm_model; \
 	 llm_model=$${llm_model:-$(DEFAULT_MODEL)}; \
-	 echo "model=\"$$llm_model\"" >> $(CONFIG_FILE).tmp
+	 echo "LLM_MODEL=\"$$llm_model\"" > $(CONFIG_FILE).tmp
 
-	@read -p "Enter your LLM api key: " llm_api_key; \
-	 echo "api_key=\"$$llm_api_key\"" >> $(CONFIG_FILE).tmp
+	@read -p "Enter your LLM API key: " llm_api_key; \
+	 echo "LLM_API_KEY=\"$$llm_api_key\"" >> $(CONFIG_FILE).tmp
 
-	@read -p "Enter your LLM base URL [mostly used for local LLMs, leave blank if not needed - example: http://localhost:5001/v1/]: " llm_base_url; \
-	 if [[ ! -z "$$llm_base_url" ]]; then echo "base_url=\"$$llm_base_url\"" >> $(CONFIG_FILE).tmp; fi
+	@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 "$$llm_base_url" ]]; then echo "LLM_BASE_URL=\"$$llm_base_url\"" >> $(CONFIG_FILE).tmp; fi
 
 	@echo "Enter your LLM Embedding Model"; \
 		echo "Choices are:"; \
@@ -275,58 +210,50 @@ setup-config-prompts:
 		echo "    - nomic-embed-text"; \
 		echo "    - all-minilm"; \
 		echo "    - stable-code"; \
-		echo "    - bge-m3"; \
-		echo "    - bge-large"; \
-		echo "    - paraphrase-multilingual"; \
-		echo "    - snowflake-arctic-embed"; \
 		echo "  - Leave blank to default to 'BAAI/bge-small-en-v1.5' via huggingface"; \
 		read -p "> " llm_embedding_model; \
-		echo "embedding_model=\"$$llm_embedding_model\"" >> $(CONFIG_FILE).tmp; \
+		echo "LLM_EMBEDDING_MODEL=\"$$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; \
+			read -p "Enter the local model URL for the embedding model (will set LLM_EMBEDDING_BASE_URL): " llm_embedding_base_url; \
+				echo "LLM_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=\"$$llm_base_url\"" >> $(CONFIG_FILE).tmp; \
+			read -p "Enter the Azure endpoint URL (will overwrite LLM_BASE_URL): " llm_base_url; \
+				echo "LLM_BASE_URL=\"$$llm_base_url\"" >> $(CONFIG_FILE).tmp; \
 			read -p "Enter the Azure LLM Embedding Deployment Name: " llm_embedding_deployment_name; \
-				echo "embedding_deployment_name=\"$$llm_embedding_deployment_name\"" >> $(CONFIG_FILE).tmp; \
+				echo "LLM_EMBEDDING_DEPLOYMENT_NAME=\"$$llm_embedding_deployment_name\"" >> $(CONFIG_FILE).tmp; \
 			read -p "Enter the Azure API Version: " llm_api_version; \
-				echo "api_version=\"$$llm_api_version\"" >> $(CONFIG_FILE).tmp; \
+				echo "LLM_API_VERSION=\"$$llm_api_version\"" >> $(CONFIG_FILE).tmp; \
 		fi
 
-
-# Develop in container
-docker-dev:
-	@if [ -f /.dockerenv ]; then \
-		echo "Running inside a Docker container. Exiting..."; \
-		exit 0; \
-	else \
-		echo "$(YELLOW)Build and run in Docker $(OPTIONS)...$(RESET)"; \
-		./containers/dev/dev.sh $(OPTIONS); \
-	fi
+	@read -p "Enter your workspace directory [default: $(DEFAULT_WORKSPACE_DIR)]: " workspace_dir; \
+	 workspace_dir=$${workspace_dir:-$(DEFAULT_WORKSPACE_DIR)}; \
+	 echo "WORKSPACE_BASE=\"$$workspace_dir\"" >> $(CONFIG_FILE).tmp
 
 # 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)"
 
+python-docs:
+	@echo "$(YELLOW)Generating documentation...$(RESET)"
+	@rm -rf docs/modules/python
+	@pydoc-markdown
+	@echo "$(GREEN)Documentation generated successfully.$(RESET)"
+
 # Help
 help:
 	@echo "$(BLUE)Usage: make [target]$(RESET)"
 	@echo "Targets:"
 	@echo "  $(GREEN)build$(RESET)               - Build project, including environment setup and dependencies."
 	@echo "  $(GREEN)lint$(RESET)                - Run linters on the project."
-	@echo "  $(GREEN)setup-config$(RESET)        - Setup the configuration for OpenHands by providing LLM API key,"
+	@echo "  $(GREEN)setup-config$(RESET)        - Setup the configuration for OpenDevin by providing LLM API key,"
 	@echo "                        LLM Model name, and workspace directory."
-	@echo "  $(GREEN)start-backend$(RESET)       - Start the backend server for the OpenHands project."
-	@echo "  $(GREEN)start-frontend$(RESET)      - Start the frontend server for the OpenHands project."
-	@echo "  $(GREEN)run$(RESET)                 - Run the OpenHands application, starting both backend and frontend servers."
+	@echo "  $(GREEN)start-backend$(RESET)       - Start the backend server for the OpenDevin project."
+	@echo "  $(GREEN)start-frontend$(RESET)      - Start the frontend server for the OpenDevin project."
+	@echo "  $(GREEN)run$(RESET)                 - Run the OpenDevin application, starting both backend and frontend servers."
 	@echo "                        Backend Log file will be stored in the 'logs' directory."
-	@echo "  $(GREEN)docker-dev$(RESET)          - Build and run the OpenHands application in Docker."
-	@echo "  $(GREEN)docker-run$(RESET)          - Run the OpenHands application, starting both backend and frontend servers in Docker."
 	@echo "  $(GREEN)help$(RESET)                - Display this help message, providing information on available targets."
 
 # Phony targets
-.PHONY: build check-dependencies check-python check-npm check-docker check-poetry install-python-dependencies install-frontend-dependencies install-pre-commit-hooks lint start-backend start-frontend run run-wsl setup-config setup-config-prompts help
-.PHONY: docker-dev docker-run
+.PHONY: build check-dependencies check-python check-npm check-docker check-poetry pull-docker-image install-python-dependencies install-frontend-dependencies install-precommit-hooks lint start-backend start-frontend run setup-config setup-config-prompts help

README.md

@@ -1,126 +1,103 @@
 <a name="readme-top"></a>
 
-<div align="center">
-  <img src="./docs/static/img/logo.png" alt="Logo" width="200">
-  <h1 align="center">OpenHands: Code Less, Make More</h1>
-</div>
+<!--
+*** Thanks for checking out the Best-README-Template. If you have a suggestion
+*** that would make this better, please fork the repo and create a pull request
+*** or simply open an issue with the tag "enhancement".
+*** Don't forget to give the project a star!
+*** Thanks again! Now go create something AMAZING! :D
+-->
 
+<!-- PROJECT SHIELDS -->
+<!--
+*** I'm using markdown "reference style" links for readability.
+*** Reference links are enclosed in brackets [ ] instead of parentheses ( ).
+*** See the bottom of this document for the declaration of the reference variables
+*** for contributors-url, forks-url, etc. This is an optional, concise syntax you may use.
+*** https://www.markdownguide.org/basic-syntax/#reference-style-links
+-->
 
 <div align="center">
-  <a href="https://github.com/All-Hands-AI/OpenHands/graphs/contributors"><img src="https://img.shields.io/github/contributors/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Contributors"></a>
-  <a href="https://github.com/All-Hands-AI/OpenHands/stargazers"><img src="https://img.shields.io/github/stars/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="Stargazers"></a>
-  <a href="https://codecov.io/github/All-Hands-AI/OpenHands?branch=main"><img alt="CodeCov" src="https://img.shields.io/codecov/c/github/All-Hands-AI/OpenHands?style=for-the-badge&color=blue"></a>
-  <a href="https://github.com/All-Hands-AI/OpenHands/blob/main/LICENSE"><img src="https://img.shields.io/github/license/All-Hands-AI/OpenHands?style=for-the-badge&color=blue" alt="MIT License"></a>
-  <br/>
-  <a href="https://join.slack.com/t/opendevin/shared_invite/zt-2oikve2hu-UDxHeo8nsE69y6T7yFX_BA"><img src="https://img.shields.io/badge/Slack-Join%20Us-red?logo=slack&logoColor=white&style=for-the-badge" alt="Join our Slack community"></a>
-  <a href="https://discord.gg/ESHStjSjD4"><img src="https://img.shields.io/badge/Discord-Join%20Us-purple?logo=discord&logoColor=white&style=for-the-badge" alt="Join our Discord community"></a>
-  <a href="https://github.com/All-Hands-AI/OpenHands/blob/main/CREDITS.md"><img src="https://img.shields.io/badge/Project-Credits-blue?style=for-the-badge&color=FFE165&logo=github&logoColor=white" alt="Credits"></a>
-  <br/>
-  <a href="https://docs.all-hands.dev/modules/usage/getting-started"><img src="https://img.shields.io/badge/Documentation-000?logo=googledocs&logoColor=FFE165&style=for-the-badge" alt="Check out the documentation"></a>
-  <a href="https://arxiv.org/abs/2407.16741"><img src="https://img.shields.io/badge/Paper%20on%20Arxiv-000?logoColor=FFE165&logo=arxiv&style=for-the-badge" alt="Paper on Arxiv"></a>
-  <a href="https://huggingface.co/spaces/OpenHands/evaluation"><img src="https://img.shields.io/badge/Benchmark%20score-000?logoColor=FFE165&logo=huggingface&style=for-the-badge" alt="Evaluation Benchmark Score"></a>
-  <hr>
+  <a href="https://github.com/OpenDevin/OpenDevin/graphs/contributors"><img src="https://img.shields.io/github/contributors/opendevin/opendevin?style=for-the-badge" 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" 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" 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" 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" alt="MIT License"></a>
+  </br>
+  <a href="https://join.slack.com/t/opendevin/shared_invite/zt-2etftj1dd-X1fDL2PYIVpsmJZkqEYANw"><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/mBuDGRzzES"><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>
 </div>
 
-Welcome to OpenHands (formerly OpenDevin), a platform for software development agents powered by AI.
+<!-- PROJECT LOGO -->
+<div align="center">
+  <img src="./docs/static/img/logo.png" alt="Logo" width="200" height="200">
+  <h1 align="center">OpenDevin: Code Less, Make More</h1>
+</div>
 
-OpenHands agents can do anything a human developer can: modify code, run commands, browse the web,
-call APIs, and yes—even copy code snippets from StackOverflow.
+## 🎯 Mission
 
-Learn more at [docs.all-hands.dev](https://docs.all-hands.dev), or jump to the [Quick Start](#-quick-start).
+Welcome to OpenDevin, an open-source project aiming to replicate Devin, an autonomous AI software engineer who is capable of executing complex engineering tasks and collaborating actively with users on software development projects. This project aspires to replicate, enhance, and innovate upon Devin through the power of the open-source community.
 
-![App screenshot](./docs/static/img/screenshot.png)
+To learn more and to use OpenDevin, check out our [documentation](https://opendevin.github.io/OpenDevin/).
 
-## ⚡ Quick Start
-
-The easiest way to run OpenHands is in Docker. You can change `WORKSPACE_BASE` below to
-point OpenHands to existing code that you'd like to modify.
-
-See the [Getting Started](https://docs.all-hands.dev/modules/usage/getting-started) guide for
-system requirements and more information.
-
-```bash
-export WORKSPACE_BASE=$(pwd)/workspace
-
-docker run -it --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=ghcr.io/all-hands-ai/runtime:0.9-nikolaik \
-    -e SANDBOX_USER_ID=$(id -u) \
-    -e WORKSPACE_MOUNT_PATH=$WORKSPACE_BASE \
-    -v $WORKSPACE_BASE:/opt/workspace_base \
-    -v /var/run/docker.sock:/var/run/docker.sock \
-    -p 3000:3000 \
-    --add-host host.docker.internal:host-gateway \
-    --name openhands-app-$(date +%Y%m%d%H%M%S) \
-    ghcr.io/all-hands-ai/openhands:0.9
-```
-
-You'll find OpenHands running at [http://localhost:3000](http://localhost:3000)!
-
-You can also run OpenHands in a scriptable [headless mode](https://docs.all-hands.dev/modules/usage/how-to/headless-mode),
-or as an [interactive CLI](https://docs.all-hands.dev/modules/usage/how-to/cli-mode).
-
-Visit [Getting Started](https://docs.all-hands.dev/modules/usage/getting-started) for more information and setup instructions.
-
-If you want to modify the OpenHands source code, check out [Development.md](https://github.com/All-Hands-AI/OpenHands/blob/main/Development.md).
-
-Having issues? The [Troubleshooting Guide](https://docs.all-hands.dev/modules/usage/troubleshooting) can help.
-
-## 📖 Documentation
-
-To learn more about the project, and for tips on using OpenHands,
-**check out our [documentation](https://docs.all-hands.dev/modules/usage/getting-started)**.
-
-There you'll find resources on how to use different LLM providers,
-troubleshooting resources, and advanced configuration options.
+<p align="right" style="font-size: 14px; color: #555; margin-top: 20px;">
+    <a href="#readme-top" style="text-decoration: none; color: #007bff; font-weight: bold;">
+        ↑ Back to Top ↑
+    </a>
+</p>
 
 ## 🤝 How to Contribute
 
-OpenHands 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:
+OpenDevin is a community-driven project, and we welcome contributions from everyone. Whether you're a developer, a researcher, or simply enthusiastic about advancing the field of software engineering with AI, there are many ways to get involved:
 
-- **Code Contributions:** Help us develop new agents, core functionality, the frontend and other interfaces, or sandboxing solutions.
+- **Code Contributions:** Help us develop the core functionalities, frontend interface, or sandboxing solutions.
 - **Research and Evaluation:** Contribute to our understanding of LLMs in software engineering, participate in evaluating the models, or suggest improvements.
-- **Feedback and Testing:** Use the OpenHands toolset, report bugs, suggest features, or provide feedback on usability.
+- **Feedback and Testing:** Use the OpenDevin toolset, report bugs, suggest features, or provide feedback on usability.
 
-For details, please check [CONTRIBUTING.md](./CONTRIBUTING.md).
+For details, please check [this document](./CONTRIBUTING.md).
+
+<p align="right" style="font-size: 14px; color: #555; margin-top: 20px;">
+    <a href="#readme-top" style="text-decoration: none; color: #007bff; font-weight: bold;">
+        ↑ Back to Top ↑
+    </a>
+</p>
 
 ## 🤖 Join Our Community
 
-Whether you're a developer, a researcher, or simply enthusiastic about OpenHands, we'd love to have you in our community.
-Let's make software engineering better together!
+Now we have both Slack workspace for the collaboration on building OpenDevin and Discord server for discussion about anything related, e.g., this project, LLM, agent, etc.
 
-- [Slack workspace](https://join.slack.com/t/opendevin/shared_invite/zt-2oikve2hu-UDxHeo8nsE69y6T7yFX_BA) - 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.
+- [Slack workspace](https://join.slack.com/t/opendevin/shared_invite/zt-2etftj1dd-X1fDL2PYIVpsmJZkqEYANw)
+- [Discord server](https://discord.gg/mBuDGRzzES)
 
-## 📈 Progress
+If you would love to contribute, feel free to join our community (note that now there is no need to fill in the [form](https://forms.gle/758d5p6Ve8r2nxxq6)). Let's simplify software engineering together!
 
-<p align="center">
-  <a href="https://star-history.com/#All-Hands-AI/OpenHands&Date">
-    <img src="https://api.star-history.com/svg?repos=All-Hands-AI/OpenHands&type=Date" width="500" alt="Star History Chart">
-  </a>
+🐚 **Code less, make more with OpenDevin.**
+
+[![Star History Chart](https://api.star-history.com/svg?repos=OpenDevin/OpenDevin&type=Date)](https://star-history.com/#OpenDevin/OpenDevin&Date)
+
+<p align="right" style="font-size: 14px; color: #555; margin-top: 20px;">
+    <a href="#readme-top" style="text-decoration: none; color: #007bff; font-weight: bold;">
+        ↑ Back to Top ↑
+    </a>
 </p>
 
 ## 📜 License
 
 Distributed under the MIT License. See [`LICENSE`](./LICENSE) for more information.
 
-## 🙏 Acknowledgements
+<p align="right" style="font-size: 14px; color: #555; margin-top: 20px;">
+    <a href="#readme-top" style="text-decoration: none; color: #007bff; font-weight: bold;">
+        ↑ Back to Top ↑
+    </a>
+</p>
 
-OpenHands is built by a large number of contributors, and every contribution is greatly appreciated! We also build upon other open source projects, and we are deeply thankful for their work.
-
-For a list of open source projects and licenses used in OpenHands, please see our [CREDITS.md](./CREDITS.md) file.
-
-## 📚 Cite
-
-```
-@misc{opendevin,
-      title={{OpenDevin: An Open Platform for AI Software Developers as Generalist Agents}},
-      author={Xingyao Wang and Boxuan Li and Yufan Song and Frank F. Xu and Xiangru Tang and Mingchen Zhuge and Jiayi Pan and Yueqi Song and Bowen Li and Jaskirat Singh and Hoang H. Tran and Fuqiang Li and Ren Ma and Mingzhang Zheng and Bill Qian and Yanjun Shao and Niklas Muennighoff and Yizhe Zhang and Binyuan Hui and Junyang Lin and Robert Brennan and Hao Peng and Heng Ji and Graham Neubig},
-      year={2024},
-      eprint={2407.16741},
-      archivePrefix={arXiv},
-      primaryClass={cs.SE},
-      url={https://arxiv.org/abs/2407.16741},
-}
-```
+[contributors-shield]: https://img.shields.io/github/contributors/opendevin/opendevin?style=for-the-badge
+[contributors-url]: https://github.com/OpenDevin/OpenDevin/graphs/contributors
+[forks-shield]: https://img.shields.io/github/forks/opendevin/opendevin?style=for-the-badge
+[forks-url]: https://github.com/OpenDevin/OpenDevin/network/members
+[stars-shield]: https://img.shields.io/github/stars/opendevin/opendevin?style=for-the-badge
+[stars-url]: https://github.com/OpenDevin/OpenDevin/stargazers
+[issues-shield]: https://img.shields.io/github/issues/opendevin/opendevin?style=for-the-badge
+[issues-url]: https://github.com/OpenDevin/OpenDevin/issues
+[license-shield]: https://img.shields.io/github/license/opendevin/opendevin?style=for-the-badge
+[license-url]: https://github.com/OpenDevin/OpenDevin/blob/main/LICENSE

agenthub/README.md

@@ -1,142 +1,75 @@
-# Agent Hub
+# 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.
+For example, `agenthub/monologue_agent`, `agenthub/metagpt_agent`, `agenthub/codeact_agent`, etc.
 Contributors from different backgrounds and interests can choose to contribute to any (or all!) of these directions.
 
 ## Constructing an Agent
 
-The abstraction for an agent can be found [here](../openhands/controller/agent.py).
+The abstraction for an agent can be found [here](../opendevin/agent.py).
 
 Agents are run inside of a loop. At each iteration, `agent.step()` is called with a
-[State](../openhands/controller/state/state.py) input, and the agent must output an [Action](../openhands/events/action).
+[State](../opendevin/state.py) input, and the agent must output an [Action](../opendevin/action).
 
 Every agent also has a `self.llm` which it can use to interact with the LLM configured by the user.
 See the [LiteLLM docs for `self.llm.completion`](https://docs.litellm.ai/docs/completion).
 
 ## State
-
-The `state` represents the running state of an agent in the OpenHands system. The class handles saving and restoring the agent session. It is serialized in a pickle.
-
-The State object stores information about:
-
-* Multi-agent state / delegates:
-  * the 'root task' (conversation between the agent and the user)
-  * the subtask (conversation between an agent and the user or another agent)
-  * global and local iterations
-  * delegate levels for multi-agent interactions
-  * almost stuck state
-* Running state of an agent:
-  * current agent state (e.g., LOADING, RUNNING, PAUSED)
-  * traffic control state for rate limiting
-  * confirmation mode
-  * the last error encountered
-* History:
-  * start and end IDs for events in agent's history. This allows to retrieve the actions taken by the agent, and observations (e.g. file content, command output) from the current or past sessions.
-* Metrics:
-  * global metrics for the current task
-  * local metrics for the current subtask
-* Extra data:
-  * additional task-specific data
-
-The agent can add and modify subtasks through the `AddTaskAction` and `ModifyTaskAction`
+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 [`plan`](https://github.com/OpenDevin/OpenDevin/blob/main/opendevin/plan.py), which contains the main goal
+  * The agent can add and modify subtasks through the `AddTaskAction` and `ModifyTaskAction`
 
 ## Actions
-
 Here is a list of available Actions, which can be returned by `agent.step()`:
+- [`CmdRunAction`](../opendevin/action/bash.py) - Runs a command inside a sandboxed terminal
+- [`CmdKillAction`](../opendevin/action/bash.py) - Kills a background command
+- [`IPythonRunCellAction`](../opendevin/action/bash.py) - Execute a block of Python code interactively (in Jupyter notebook) and receives `CmdOutputObservation`. Requires setting up `jupyter` [plugin](../opendevin/sandbox/plugins) as a requirement.
+- [`FileReadAction`](../opendevin/action/fileop.py) - Reads the content of a file
+- [`FileWriteAction`](../opendevin/action/fileop.py) - Writes new content to a file
+- [`BrowseURLAction`](../opendevin/action/browse.py) - Gets the content of a URL
+- [`AgentRecallAction`](../opendevin/action/agent.py) - Searches memory (e.g. a vector database)
+- [`AddTaskAction`](../opendevin/action/tasks.py) - Adds a subtask to the plan
+- [`ModifyTaskAction`](../opendevin/action/tasks.py) - Changes the state of a subtask
+- [`AgentThinkAction`](../opendevin/action/agent.py) - A no-op that allows the agent to add plaintext to the history (as well as the chat log)
+- [`AgentTalkAction`](../opendevin/action/agent.py) - A no-op that allows the agent to add plaintext to the history and talk to the user.
+- [`AgentFinishAction`](../opendevin/action/agent.py) - Stops the control loop, allowing the user to enter a new task
 
-- [`CmdRunAction`](../openhands/events/action/commands.py) - Runs a command inside a sandboxed terminal
-- [`IPythonRunCellAction`](../openhands/events/action/commands.py) - Execute a block of Python code interactively (in Jupyter notebook) and receives `CmdOutputObservation`. Requires setting up `jupyter` [plugin](../openhands/runtime/plugins) as a requirement.
-- [`FileReadAction`](../openhands/events/action/files.py) - Reads the content of a file
-- [`FileWriteAction`](../openhands/events/action/files.py) - Writes new content to a file
-- [`BrowseURLAction`](../openhands/events/action/browse.py) - Gets the content of a URL
-- [`AddTaskAction`](../openhands/events/action/tasks.py) - Adds a subtask to the plan
-- [`ModifyTaskAction`](../openhands/events/action/tasks.py) - Changes the state of a subtask.
-- [`AgentFinishAction`](../openhands/events/action/agent.py) - Stops the control loop, allowing the user/delegator agent to enter a new task
-- [`AgentRejectAction`](../openhands/events/action/agent.py) - Stops the control loop, allowing the user/delegator agent to enter a new task
-- [`AgentFinishAction`](../openhands/events/action/agent.py) - Stops the control loop, allowing the user to enter a new task
-- [`MessageAction`](../openhands/events/action/message.py) - Represents a message from an agent or the user
-
-To serialize and deserialize an action, you can use:
-- `action.to_dict()` to serialize the action to a dictionary to be sent to the UI, including a user-friendly string representation of the message
-- `action.to_memory()` to serialize the action to a dictionary to be sent to the LLM. It may include raw information, such as the underlying exceptions that occurred during the action execution.
-- `action_from_dict(action_dict)` to deserialize the action from a dictionary.
+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).
+But they may also appear as a result of asynchronous events (e.g. a message from the user, logs from a command running
+in the background).
 
 Here is a list of available Observations:
-
-- [`CmdOutputObservation`](../openhands/events/observation/commands.py)
-- [`BrowserOutputObservation`](../openhands/events/observation/browse.py)
-- [`FileReadObservation`](../openhands/events/observation/files.py)
-- [`FileWriteObservation`](../openhands/events/observation/files.py)
-- [`ErrorObservation`](../openhands/events/observation/error.py)
-- [`SuccessObservation`](../openhands/events/observation/success.py)
+- [`CmdOutputObservation`](../opendevin/observation/run.py)
+- [`BrowserOutputObservation`](../opendevin/observation/browse.py)
+- [`FileReadObservation`](../opendevin/observation/files.py)
+- [`FileWriteObservation`](../opendevin/observation/files.py)
+- [`UserMessageObservation`](../opendevin/observation/)
+- [`AgentRecallObservation`](../opendevin/observation/recall.py)
+- [`AgentErrorObservation`](../opendevin/observation/error.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`.
 
-## Agent Delegation
-
-OpenHands is a multi-agentic system. Agents can delegate tasks to other agents, whether
-prompted by the user, or when the agent decides to ask another agent for help. For example,
-the `CodeActAgent` might delegate to the `BrowsingAgent` to answer questions that involve browsing
-the web. The Delegator Agent forwards tasks to micro-agents, such as 'RepoStudyAgent' to study a repo,
-or 'VerifierAgent' to verify a task completion.
-
-### Understanding the terminology
-
-A `task` is an end-to-end conversation between OpenHands (the whole system) and the user,
-which might involve one or more inputs from the user. It starts with an initial input
-(typically a task statement) from the user, and ends with either an `AgentFinishAction`
-initiated by the agent, a stop initiated by the user, or an error.
-
-A `subtask` is an end-to-end conversation between an agent and the user, or
-another agent. If a `task` is conducted by a single agent, then it's also a `subtask`
-itself. Otherwise, a `task` consists of multiple `subtasks`, each executed by
-one agent.
-
-For example, considering a task from the user: `tell me how many GitHub stars
-OpenHands repo has`. Let's assume the default agent is CodeActAgent.
-
+### `search_memory`
 ```
--- TASK STARTS (SUBTASK 0 STARTS) --
-
-DELEGATE_LEVEL 0, ITERATION 0, LOCAL_ITERATION 0
-CodeActAgent: I should request help from BrowsingAgent
-
--- DELEGATE STARTS (SUBTASK 1 STARTS) --
-
-DELEGATE_LEVEL 1, ITERATION 1, LOCAL_ITERATION 0
-BrowsingAgent: Let me find the answer on GitHub
-
-DELEGATE_LEVEL 1, ITERATION 2, LOCAL_ITERATION 1
-BrowsingAgent: I found the answer, let me convey the result and finish
-
--- DELEGATE ENDS (SUBTASK 1 ENDS) --
-
-DELEGATE_LEVEL 0, ITERATION 3, LOCAL_ITERATION 1
-CodeActAgent: I got the answer from BrowsingAgent, let me convey the result
-and finish
-
--- TASK ENDS (SUBTASK 0 ENDS) --
+def search_memory(self, query: str) -> List[str]:
 ```
+`search_memory` should return a list of events that match the query. This will be used
+for the `recall` action.
 
-Note how ITERATION counter is shared across agents, while LOCAL_ITERATION
-is local to each subtask.
+You can optionally just return `[]` for this method, meaning the agent has no long-term memory.

agenthub/SWE_agent/Examples.md

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

agenthub/SWE_agent/__init__.py

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

agenthub/SWE_agent/agent.py

@@ -0,0 +1,112 @@
+from typing import List
+
+from opendevin.action import (
+    Action,
+    AgentThinkAction,
+    FileReadAction,
+    FileWriteAction,
+)
+from opendevin.agent import Agent
+from opendevin.llm.llm import LLM
+from opendevin.observation import Observation
+from opendevin.state import State
+
+from .parser import parse_command
+from .prompts import (
+    CONTEXT_PROMPT,
+    MEMORY_FORMAT,
+    NO_ACTION,
+    STEP_PROMPT,
+    SYSTEM_MESSAGE,
+)
+
+
+class SWEAgent(Agent):
+    """
+    An attempt to recreate swe_agent with output parsing, prompting style, and Application Computer Interface (ACI).
+
+    SWE-agent includes ACI functions like 'goto', 'search_for', 'edit', 'scroll', 'run'
+    """
+
+    def __init__(self, llm: LLM):
+        super().__init__(llm)
+        self.memory_window = 4
+        self.max_retries = 2
+        self.running_memory: List[str] = []
+        self.cur_file: str = ''
+        self.cur_line: int = 0
+
+    def _remember(self, action: Action, observation: Observation) -> None:
+        """Agent has a limited memory of the few steps implemented as a queue"""
+        memory = MEMORY_FORMAT(action.to_memory(), observation.to_memory())
+        self.running_memory.append(memory)
+
+    def _think_act(self, messages: List[dict]) -> tuple[Action, str]:
+        resp = self.llm.completion(
+            messages=messages,
+            temperature=0.05,
+        )
+        action_resp = resp['choices'][0]['message']['content']
+        print(f"\033[1m\033[91m{resp['usage']}\033[0m")
+        print('\n==== RAW OUTPUT ====',
+              f'\033[96m{action_resp}\033[0m',
+              '==== END RAW ====\n', sep='\n')
+        return parse_command(action_resp, self.cur_file, self.cur_line)
+
+    def _update(self, action: Action) -> None:
+        if isinstance(action, (FileReadAction, FileWriteAction)):
+            self.cur_file = action.path
+            self.cur_line = action.start
+
+    def step(self, state: State) -> Action:
+        """
+        SWE-Agent step:
+            1. Get context - past actions, custom commands, current step
+            2. Perform think-act - prompt model for action and reasoning
+            3. Catch errors - ensure model takes action (5 attempts max)
+        """
+        for prev_action, obs in state.updated_info:
+            self._remember(prev_action, obs)
+
+        prompt = STEP_PROMPT(
+            state.plan.main_goal,
+            self.cur_file,
+            self.cur_line
+        )
+
+        msgs = [
+            {'content': SYSTEM_MESSAGE, 'role': 'system'},
+            {'content': prompt, 'role': 'user'}
+        ]
+
+        if len(self.running_memory) > 0:
+            context = CONTEXT_PROMPT(
+                self.running_memory,
+                self.memory_window
+            )
+            msgs.insert(1, {'content': context, 'role': 'user'})
+        # clrs = [''] * (len(msgs)-2) + ['\033[0;36m', '\033[0;35m']
+        # print('\n\n'.join([c+m['content']+'\033[0m' for c, m in zip(clrs, msgs)]))
+        action, thought = self._think_act(messages=msgs)
+
+        start_msg_len = len(msgs)
+        while not action and len(msgs) < self.max_retries + start_msg_len:
+            error = NO_ACTION(thought)
+            error_msg = {'content': error, 'role': 'user'}
+            msgs.append(error_msg)
+            action, thought = self._think_act(messages=msgs)
+
+        if not action:
+            action = AgentThinkAction(thought)
+
+        self._update(action)
+        self.latest_action = action
+        return action
+
+    def search_memory(self, query: str) -> List[str]:
+        return [item for item in self.running_memory if query in item]
+
+    def reset(self) -> None:
+        """Used to reset the agent"""
+        self.running_memory = []
+        super().reset()

agenthub/SWE_agent/parser.py

@@ -0,0 +1,164 @@
+import re
+
+from opendevin.action import (
+    Action,
+    AgentEchoAction,
+    AgentFinishAction,
+    AgentThinkAction,
+    BrowseURLAction,
+    CmdRunAction,
+    FileReadAction,
+    FileWriteAction,
+)
+
+from .prompts import COMMAND_USAGE, CUSTOM_DOCS
+
+# commands: exit, read, write, browse, kill, search_file, search_dir
+
+no_open_file_error = AgentEchoAction(
+    'You are not currently in a file. You can use the read command to open a file and then use goto to navigate through it.')
+
+
+def invalid_error(cmd, docs):
+    return f"""ERROR:
+Invalid command structure for
+```
+{cmd}
+```
+You may have caused this error by having multiple commands within your command block.
+If so, try again by running only one of the commands:
+
+Try again using this format:
+{COMMAND_USAGE[docs]}
+"""
+
+
+def get_action_from_string(command_string: str, path: str, line: int, thoughts: str = '') -> Action | None:
+    """
+    Parses the command string to find which command the agent wants to run
+    Converts the command into a proper Action and returns
+    """
+    vars = command_string.split(' ')
+    cmd = vars[0]
+    args = [] if len(vars) == 1 else vars[1:]
+
+    if 'exit' == cmd:
+        return AgentFinishAction()
+
+    elif 'think' == cmd:
+        return AgentThinkAction(' '.join(args))
+
+    elif 'scroll_up' == cmd:
+        if not path:
+            return no_open_file_error
+        return FileReadAction(path, line + 100, line + 200, thoughts)
+
+    elif 'scroll_down' == cmd:
+        if not path:
+            return no_open_file_error
+        return FileReadAction(path, line - 100, line, thoughts)
+
+    elif 'goto' == cmd:
+        if not path:
+            return no_open_file_error
+        rex = r'^goto\s+(\d+)$'
+        valid = re.match(rex, command_string)
+        if valid:
+            start = int(valid.group(1))
+            end = start + 100
+            return FileReadAction(path, start, end, thoughts)
+        else:
+            return AgentEchoAction(invalid_error(command_string, 'goto'))
+
+    elif 'edit' == cmd:
+        if not path:
+            return no_open_file_error
+        rex = r'^edit\s+(\d+)\s+(-?\d+)\s+(\S.*)$'
+        valid = re.match(rex, command_string, re.DOTALL)
+        if valid:
+            start = int(valid.group(1))
+            end = int(valid.group(2))
+            change = valid.group(3)
+            if '"' == change[-1] and '"' == change[0]:
+                change = change[1:-1]
+            return FileWriteAction(path, change, start, end, thoughts)
+        else:
+            return AgentEchoAction(invalid_error(command_string, 'edit'))
+
+    elif 'read' == cmd:
+        rex = r'^read\s+(\S+)(?:\s+(\d+))?(?:\s+(-?\d+))?$'
+        valid = re.match(rex, command_string, re.DOTALL)
+        if valid:
+            file = valid.group(1)
+            start_str = valid.group(2)
+            end_str = valid.group(3)
+
+            start = 0 if not start_str else int(start_str)
+            end = -1 if not end_str else int(end_str)
+
+            return FileReadAction(file, start, end, thoughts)
+        else:
+            return AgentEchoAction(invalid_error(command_string, 'read'))
+
+    elif 'write' == cmd:
+        rex = r'^write\s+(\S+)\s+(.*?)\s*(\d+)?\s*(-?\d+)?$'
+        valid = re.match(rex, command_string, re.DOTALL)
+
+        if valid:
+            file = valid.group(1)
+            content = valid.group(2)
+            start_str = valid.group(3)
+            end_str = valid.group(4)
+
+            start = 0 if not start_str else int(start_str)
+            end = -1 if not end_str else int(end_str)
+
+            if '"' == content[-1] and '"' == content[0]:
+                content = content[1:-1]
+
+            return FileWriteAction(file, content, start, end, thoughts)
+        else:
+            return AgentEchoAction(invalid_error(command_string, 'write'))
+
+    elif 'browse' == cmd:
+        return BrowseURLAction(args[0].strip())
+
+    elif cmd in ['search_file', 'search_dir', 'find_file']:
+        rex = r'^(search_file|search_dir|find_file)\s+(\S+)(?:\s+(\S+))?$'
+        valid = re.match(rex, command_string, re.DOTALL)
+        if valid:
+            return CmdRunAction(command_string)
+        else:
+            return AgentEchoAction(f'Invalid command structure for\n ```\n{command_string}\n```.\nTry again using this format:\n{CUSTOM_DOCS}')
+    else:
+        # check bash command
+        obs = str(CmdRunAction(f'type {cmd}'))
+        if obs.split(':')[-1].strip() == 'not found':
+            # echo not found error for llm
+            return AgentEchoAction(content=obs)
+        else:
+            # run valid command
+            return CmdRunAction(command_string)
+
+
+def parse_command(input_str: str, path: str, line: int):
+    """
+    Parses a given string and separates the command (enclosed in triple backticks) from any accompanying text.
+
+    Args:
+        input_str (str): The input string to be parsed.
+
+    Returns:
+        tuple: A tuple containing the command and the accompanying text (if any).
+    """
+    input_str = input_str.strip()
+    if '```' in input_str:
+        parts = input_str.split('```')
+        command_str = parts[1].strip()
+        ind = 2 if len(parts) > 2 else 1
+        accompanying_text = ''.join(parts[:-ind]).strip()
+        action = get_action_from_string(
+            command_str, path, line, accompanying_text)
+        if action:
+            return action, accompanying_text
+    return None, input_str  # used for retry

agenthub/SWE_agent/prompts.py

@@ -0,0 +1,206 @@
+
+DEFAULT_COMMANDS_DICT = {
+    'exit': 'Executed when task is complete',
+    'read <file_name> [<start_line>] [<end_line>]': "Shows a given file's contents starting from <start_line> up to <end_line>. Default: start_line = 0, end_line = -1. By default the whole file will be read.",
+    'write <file> <changes> [<start_line>] [<end_line>]': 'Modifies a <file> by replacing the current lines between <start_line> and <end_line> with <changes>. Default start_line = 0 and end_line = -1. Calling this with no line args will replace the whole file.',
+    'browse <url>': 'Returns the text version of any url, this can be useful to look up documentation or finding issues on github',
+    'scroll_up': 'Takes no arguments. This will scroll up and show you the 100 lines above your current lines',
+    'scroll_down': 'Takes no arguments. This will scroll down and show you the 100 lines below your current lines',
+    'edit <start_line> <end_line> <changes>': 'This will modify lines in the currently open file. use start_line and end_line to designate which lines to change and then write the multiline changes',
+    'goto <line_num>': 'This will take you directly to a line and show you the 100 lines below it.',
+    '<bash_command> <args>': 'You can use any bash command you need (cd, ls, rm, grep, dir, mv, wget, git, zip, etc.) with their arguments included',
+    'pip install <package>': 'You can use this to import python packages. Make sure you include the correct package name when using this command.',
+    'ls': 'Use the ls command to view all the files in your current directory, this is a good starting point.',
+    'NOT ALLOWED': 'You cannot use interactive commands like python or node'
+}
+
+COMMAND_USAGE = {
+    'exit': 'Usage:\n```\nexit\n```\nExecuted when task is complete',
+    'read': "Args:\n<file_name> [<start_line>] [<end_line>]\nUsage:\n```\nread file.py\n```\nor\n```\nread example.py <start_line> <end_line>\n```\nShows a given file's contents starting from <start_line> up to <end_line>. Default: start_line = 0, end_line = -1. by default the whole file will be read.",
+    'write': 'Args:\n<file> <changes> [<start_line>] [<end_line>]\nUsage:\n```\nwrite "def main():\n    print("This is line one")" 0 2\n```\nModifies a <file> by replacing the current lines between <start_line> and <end_line> with <changes>. Default start_line = 0 and end_line = -1. Calling this with no line args will replace the whole file.',
+    'edit': 'Args:\n<start_line> <end_line> <changes>\nUsage:\n```\nedit 0 1 import pandas as pd\n```\nThis will modify the current file you are in with the changes you make between the line numbers you designate',
+    'goto': 'Args:\n<line_num>\nUsage:\n```\ngoto <line_num>\n```\nThis will show you the 100 lines below and including the line you specify within your current file.',
+    'scroll_up': 'Usage:\n```\nscroll_up\n```\nThis will return the 100 lines above where you are currently at',
+    'scroll_down': 'Usage:\n```\nscroll_down\n```\nThis will return the 100 line below where you are currently at',
+    'browse': 'Args:\n<url>\nUsage:\n```\nbrowse https://github.com/OpenDevin/OpenDevin\n```\nThis will fetch the Text elements from the given url and show them to you.',
+}
+
+DEFAULT_COMMANDS = '\n'.join(
+    [k + ' - ' + v for k, v in DEFAULT_COMMANDS_DICT.items()])
+
+# from opendevin.parse_commands import parse_command_file
+# USE parse_command_file(filepath) to get the custom commands
+CUSTOM_DOCS = None
+
+CUSTOM_COMMANDS = f"""Custom bash commands:
+{CUSTOM_DOCS}
+"""
+
+DOCUMENTATION = f"""DOCUMENTATION:
+It is recommend that you use the commands provided for interacting with files and your directory because they have been specially built for you.
+They will make it much easier for you to look at files and make changes. Using these commands will help you be better at your task.
+You can open an file by using either the read or write operations.
+- If a file already exists you should read it before making any changes. Use the `edit` command to make changes once you have read it.
+- If you are creating a new file use the write command. Use the `edit` command to make changes once you have created the new file.
+
+Commands:
+{DEFAULT_COMMANDS}
+{CUSTOM_COMMANDS}
+
+The following commands require an open file to be used: edit, scroll_up, scroll_down, goto
+To modify the current file use 'edit'. To move through the current file use 'goto' or 'scroll_up'/'scroll_down'
+when using write and edit do not surround the code with any "" just write the code.
+"""
+
+GENERAL_GUIDELINES = """INSTRUCTIONS:
+Now, you're going to solve this issue on your own. You can use any bash commands or custom commands you wish to complete your task. Edit all the files you need to and run any checks or tests that you want.
+Remember, YOU CAN ONLY ENTER ONE COMMAND AT A TIME. You should always wait for feedback after every command.
+When you're satisfied with all of the changes you've made, you can indicate that you are done by running the exit command.
+Note however that you cannot use any interactive session commands (e.g. python, vim, node) in this environment, but you can write scripts and run them. E.g. you can write a python script and then run it with `python <script_name>.py`.
+
+NOTE ABOUT THE write COMMAND: Indentation really matters! When editing a file, make sure to insert appropriate indentation before each line!
+
+IMPORTANT TIPS:
+1. Reproduce the bug: Always start by trying to replicate the bug that the issue discusses. If the issue includes code for reproducing the bug, we recommend that you re-implement that in your environment and run it to ensure you can reproduce the bug. Then, start trying to fix it. When you think you've fixed the bug, re-run the bug reproduction script to make sure that the issue has indeed been resolved.
+   If the bug reproduction script does not print anything when it successfully runs, we recommend adding a print("Script completed successfully, no errors.") command at the end of the file, so that you can be sure the script ran fine all the way through.
+2. Try different commands: If you run a command and it doesn't work, try running a different command. A command that did not work once will not work the second time unless you modify it.
+3. Navigate large files: If you open a file and need to get to an area around a specific line that is not in the first 100 lines, say line 583, you would use the 'read' command like this: 'read <file> 583'. This is a much faster way to read through the file.
+4. Handle input files: If the bug reproduction script requires inputting/reading a specific file, such as 'buggy-input.png', and you'd like to understand how to input that file, conduct a search in the existing repository code to see whether someone else has already done that. Do this by running the command: 'search_dir "buggy-input.png"'. If that doesn't work, use the Linux 'find' command.
+5. Understand your context: Always make sure to look at the currently open file and the current working directory. The currently open file might be in a different directory than the working directory.
+6. Verify your edits: When editing files, it is easy to accidentally specify a wrong line number or to write code with incorrect indentation. Always check the code after you issue an edit to make sure that it reflects what you wanted to accomplish. If it didn't, issue another command to fix it.
+7. Thoroughly test your solution: After making any changes to fix a bug, be sure to thoroughly test your solution to ensure the bug has been resolved. Re-run the bug reproduction script and verify that the issue has been addressed.
+"""
+
+RESPONSE_FORMAT = """RESPONSE FORMAT:
+This is the format of the response you will make in order to solve the current issue.
+You will be given multiple iterations to complete this task so break it into steps and solve them one by one.
+
+Your output must contain the following:
+- First, thoughts about what your next action should be and plan it out.
+    - You will have a memory of your thoughts so you can use this to remember things for the next step.
+    - Use your thoughts to think about what you are currently doing, what you have done on prior steps and how that relates to solving the problem.
+- Second, create a piece of code that will execute your next action based on the thoughts you have.
+    - Remember that you can only have one action for each thought, do not include multiple actions.
+
+Your code MUST be surrounded in triple back ticks EXACTLY like this:
+```
+<code>
+```
+
+Notes:
+- Adhere to the format so that the program loop continues smoothly, it is very important to only give one command per output.
+- DO NOT give more than one command within the triple backticks. This will just throw an error and nothing will happen as a result.
+- Do not give multiple code blocks, if you do only the second one will be captured and run, this might give an error if the first one was necessary.
+- To execute multiple commands you should write them down in your thoughts section so you can remember it on the next step and execute them then.
+- The only commands you are not capable of executing are interactive commands like `python` or `node` by themselves.
+- If you think that you have completed the task that has been given to you based on your previous actions and outputs then use ``` exit ``` as the command to let the system know that you are done.
+- DO NOT make any copies of your previous memories those will be provided to you at each step, making copies just wastes time and energy. Think smarter not harder.
+- The write and edit commands requires proper indentation in the content section ex. `write hw.py def hello():\n    print(\'Hello World\')` this is how you would have to format your write command.
+    - The white spaces matter as the code changes will be added to the code so they must have proper syntax.
+
+This is a template using the format described above
+Items in <> are suggestions for you, fill them out based on the context of the problem you are solving.
+
+[ FORMAT ]
+Thoughts:
+<Provide clear and concise thoughts on the next step to take, highlighting any important details or context that should be remembered.>
+<You can use multiple lines to express your thoughts>
+
+Action:
+```
+<command> <params>
+```
+[ END FORMAT ]
+
+Do not provide anything extra just your thought and action.
+"""
+
+SYSTEM_MESSAGE = f"""SYSTEM INFO:
+You am an autonomous coding agent, here to provide solutions for coding issues.
+You have been designed to assist you with a wide range of programming tasks, from code editing and debugging to testing and deployment.
+You have access to a variety of tools and commands that you can use to help you solve problems efficiently.
+
+{GENERAL_GUIDELINES}
+
+{DOCUMENTATION}
+""".strip()
+
+
+def NO_ACTION(latest): return f"""
+You did not include any action to take in your most recent output:
+
+===== Output ======
+{latest}
+==== End Output ===
+
+Remember these are the custom commands you can use:
+{DOCUMENTATION}
+
+Lets try that again, it is very important that you adhere to the output format
+This time, be sure to use the exact format below, replacing anything in <> with the appropriate value(s):
+{RESPONSE_FORMAT}
+
+It is crucial you use the format provided as the output will be parsed automatically.
+"""
+
+
+def file_info(file: str, line: int):
+    if file:
+        return f"""CURRENT WORKSPACE:
+    Open File: {file} on line {line}
+    You can use these commands with the current file:
+    Navigation: `scroll_up`, `scroll_down`, and `goto <line>`
+    Modification: `edit <start_line> <end_line> <changes>`
+    """
+
+
+def STEP_PROMPT(task, file, line_num): return f"""
+{RESPONSE_FORMAT}
+You are currently trying to complete this task:
+{task}
+
+{file_info(file, line_num)}
+
+Keep all of the guidelines above in mind when you are thinking and making code.
+Please come up with a thought and action based on your current task and latest steps.
+Make sure that you do not repeat the same actions, there will not be any changes in result if you do not changes anything.
+Be very strict about the formatting that you use and make sure you follow the guidelines.
+NEVER output multiple commands. ONLY take ONE STEP at a time.
+When you have completed your task run the "exit" command.
+Begin with your thought about the next step and then come up with an action to perform your thought.
+""".strip()
+
+
+def unpack_dict(data: dict, restrict: list[str] = []):
+    lines = []
+    for key, value in data.items():
+        if key in restrict:
+            continue
+        elif isinstance(value, dict):
+            nested_str = unpack_dict(value, restrict).replace('\n', '\n  ')
+            val = f'{key}:' + '\n  ' + f'{nested_str}'
+            lines.append(val)
+        else:
+            lines.append(f'{key}: {value}')
+    return '\n'.join(lines)
+
+
+def MEMORY_FORMAT(act, obs): return f"""
+Previous Action:
+{unpack_dict(act, ["content"])}
+
+Output from Action:
+{unpack_dict(obs)}
+""".strip()
+
+
+def CONTEXT_PROMPT(memory, window):
+    res = f'These are your past {window} actions:\n'
+    window_size = window if len(memory) > window else len(memory)
+    cur_mems = memory[-window_size:]
+    res += '===== Previous Actions =====\n'
+    for idx, mem in enumerate(cur_mems):
+        res += f'\nMemory {idx}:\n{mem}\n'
+    res += '======= End Actions =======\n'
+    res += 'Use these memories to provide additional context to the problem you are solving.\nRemember that you have already completed these steps so you do not need to perform them again.'
+    return res

agenthub/__init__.py

@@ -1,41 +1,35 @@
 from dotenv import load_dotenv
 
-from agenthub.micro.agent import MicroAgent
-from agenthub.micro.registry import all_microagents
-from openhands.controller.agent import Agent
+from opendevin.agent import Agent
+
+from .micro.agent import MicroAgent
+from .micro.registry import all_microagents
 
 load_dotenv()
 
 
-from agenthub import (  # noqa: E402
-    browsing_agent,
+
+from . import (  # noqa: E402
+    SWE_agent,
     codeact_agent,
-    codeact_swe_agent,
     delegator_agent,
     dummy_agent,
+    monologue_agent,
     planner_agent,
 )
 
-__all__ = [
-    'codeact_agent',
-    'codeact_swe_agent',
-    'planner_agent',
-    'delegator_agent',
-    'dummy_agent',
-    'browsing_agent',
-]
+__all__ = ['monologue_agent', 'codeact_agent',
+           'planner_agent', 'SWE_agent',
+           'delegator_agent',
+           'dummy_agent']
 
 for agent in all_microagents.values():
     name = agent['name']
     prompt = agent['prompt']
 
-    anon_class = type(
-        name,
-        (MicroAgent,),
-        {
-            'prompt': prompt,
-            'agent_definition': agent,
-        },
-    )
+    anon_class = type(name, (MicroAgent,), {
+        'prompt': prompt,
+        'agent_definition': agent,
+    })
 
     Agent.register(name, anon_class)

agenthub/browsing_agent/README.md

@@ -1,16 +0,0 @@
-# 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 ./openhands/core/main.py \
-           -i 10 \
-           -t "tell me the usa's president using google search" \
-           -c BrowsingAgent \
-           -m gpt-4o-2024-05-13
-```

agenthub/browsing_agent/__init__.py

@@ -1,4 +0,0 @@
-from agenthub.browsing_agent.browsing_agent import BrowsingAgent
-from openhands.controller.agent import Agent
-
-Agent.register('BrowsingAgent', BrowsingAgent)

agenthub/browsing_agent/browsing_agent.py

@@ -1,224 +0,0 @@
-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 openhands.controller.agent import Agent
-from openhands.controller.state.state import State
-from openhands.core.config import AgentConfig
-from openhands.core.logger import openhands_logger as logger
-from openhands.core.message import Message, TextContent
-from openhands.events.action import (
-    Action,
-    AgentFinishAction,
-    BrowseInteractiveAction,
-    MessageAction,
-)
-from openhands.events.event import EventSource
-from openhands.events.observation import BrowserOutputObservation
-from openhands.events.observation.observation import Observation
-from openhands.llm.llm import LLM
-from openhands.runtime.plugins import (
-    PluginRequirement,
-)
-
-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_url: str, cur_axtree_txt: str, prev_action_str: str
-) -> str:
-    prompt = f"""\
-{error_prefix}
-
-# Current Page URL:
-{cur_url}
-
-# 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] = []
-    response_parser = BrowsingResponseParser()
-
-    def __init__(
-        self,
-        llm: LLM,
-        config: AgentConfig,
-    ) -> None:
-        """Initializes a new instance of the BrowsingAgent class.
-
-        Parameters:
-        - llm (LLM): The llm to be used by this agent
-        """
-        super().__init__(llm, config)
-        # 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: list[Message] = []
-        prev_actions = []
-        cur_url = ''
-        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 OpenHands 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.')
-
-            cur_url = last_obs.url
-
-            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.')
-
-        goal, _ = state.get_current_user_intent()
-
-        if goal 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(Message(role='system', content=[TextContent(text=system_msg)]))
-
-        prompt = get_prompt(error_prefix, cur_url, cur_axtree_txt, prev_action_str)
-        messages.append(Message(role='user', content=[TextContent(text=prompt)]))
-
-        response = self.llm.completion(
-            messages=self.llm.format_messages_for_llm(messages),
-            temperature=0.0,
-            stop=[')```', ')\n```'],
-        )
-        return self.response_parser.parse(response)

agenthub/browsing_agent/prompt.py

@@ -1,786 +0,0 @@
-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 agenthub.browsing_agent.utils import (
-    ParseError,
-    parse_html_tags_raise,
-)
-from openhands.runtime.browser.browser_env import BrowserEnv
-
-
-@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 serializable 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
-    )

agenthub/browsing_agent/response_parser.py

@@ -1,88 +0,0 @@
-import ast
-
-from openhands.controller.action_parser import ActionParser, ResponseParser
-from openhands.core.logger import openhands_logger as logger
-from openhands.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 action_str and not action_str.endswith('```'):
-            action_str = action_str + ')```'
-        logger.debug(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,
-        )

agenthub/browsing_agent/utils.py

@@ -1,158 +0,0 @@
-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

agenthub/codeact_agent/README.md

@@ -1,29 +1,23 @@
-# CodeAct Agent Framework
+# CodeAct-based 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).
+This folder implements the [CodeAct idea](https://arxiv.org/abs/2402.13463) that relies on LLM to autonomously perform actions in a Bash shell. It requires more from the LLM itself: LLM needs to be capable enough to do all the stuff autonomously, instead of stuck in an infinite loop.
 
-The conceptual idea is illustrated below. At each turn, the agent can:
+**NOTE: This agent is still highly experimental and under active development to reach the capability described in the original paper & [repo](https://github.com/xingyaoww/code-act).**
 
-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.
+<video src="https://github.com/xingyaoww/code-act/assets/38853559/62c80ada-62ce-447e-811c-fc801dd4beac"> </video>
+*Demo of the expected capability - work-in-progress.*
 
-![image](https://github.com/All-Hands-AI/OpenHands/assets/38853559/92b622e3-72ad-4a61-8f41-8c040b6d5fb3)
+```bash
+mkdir workspace
+PYTHONPATH=`pwd`:$PYTHONPATH python3 opendevin/main.py -d ./workspace -c CodeActAgent -t "Please write a flask app that returns 'Hello, World\!' at the root URL, then start the app on port 5000. python3 has already been installed for you."
+```
 
-## Plugin System
+Example: prompts `gpt-4-0125-preview` to write a flask server, install `flask` library, and start the server.
 
-To make the CodeAct agent more powerful with only access to `bash` action space, CodeAct agent leverages OpenHands's plugin system:
-- [Jupyter plugin](https://github.com/All-Hands-AI/OpenHands/tree/main/openhands/runtime/plugins/jupyter): for IPython execution via bash command
-- [Agent Skills plugin](https://github.com/All-Hands-AI/OpenHands/tree/main/openhands/runtime/plugins/agent_skills): Powerful bash command line tools for software development tasks introduced by [swe-agent](https://github.com/princeton-nlp/swe-agent).
+<img width="951" alt="image" src="https://github.com/OpenDevin/OpenDevin/assets/38853559/325c3115-a343-4cc5-a92b-f1e5d552a077">
 
-## Demo
+<img width="957" alt="image" src="https://github.com/OpenDevin/OpenDevin/assets/38853559/68ad10c1-744a-4e9d-bb29-0f163d665a0a">
 
-https://github.com/All-Hands-AI/OpenHands/assets/38853559/f592a192-e86c-4f48-ad31-d69282d5f6ac
+Most of the things are working as expected, except at the end, the model did not follow the instruction to stop the interaction by outputting `<execute> exit </execute>` as instructed.
 
-*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
+**TODO**: This should be fixable by either (1) including a complete in-context example like [this](https://github.com/xingyaoww/mint-bench/blob/main/mint/tasks/in_context_examples/reasoning/with_tool.txt), OR (2) collect some interaction data like this and fine-tune a model (like [this](https://github.com/xingyaoww/code-act), a more complex route).

agenthub/codeact_agent/__init__.py

@@ -1,4 +1,5 @@
-from agenthub.codeact_agent.codeact_agent import CodeActAgent
-from openhands.controller.agent import Agent
+from opendevin.agent import Agent
+
+from .codeact_agent import CodeActAgent
 
 Agent.register('CodeActAgent', CodeActAgent)

agenthub/codeact_agent/action_parser.py

@@ -1,207 +0,0 @@
-import re
-
-from openhands.controller.action_parser import ActionParser, ResponseParser
-from openhands.events.action import (
-    Action,
-    AgentDelegateAction,
-    AgentFinishAction,
-    CmdRunAction,
-    FileEditAction,
-    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
-    - FileEditAction(diff_block) - Search/Replace block to edit.
-    - 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(),
-            CodeActActionParserFileEdit(),
-        ]
-        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', 'edit', '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(thought=thought)
-        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 CodeActActionParserFileEdit(ActionParser):
-    """Parser action:
-    - FileEditAction(diff_block) - Search/Replace block to edit.
-    """
-
-    def __init__(
-        self,
-    ):
-        self.diff_block = None
-
-    def check_condition(self, action_str: str) -> bool:
-        self.diff_block = re.search(
-            r'<execute_edit>(.*)</execute_edit>', action_str, re.DOTALL
-        )
-        return self.diff_block is not None
-
-    def parse(self, action_str: str) -> Action:
-        assert (
-            self.diff_block is not None
-        ), 'self.diff_block should not be None when parse is called'
-        thought = action_str.replace(self.diff_block.group(0), '').strip()
-        return FileEditAction(
-            diff_block=self.diff_block.group(1).strip(),
-            thought=thought,
-        )
-
-
-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)

agenthub/codeact_agent/codeact_agent.py

@@ -1,307 +1,170 @@
-import os
-from itertools import islice
+import re
+from typing import List, Mapping
 
-from agenthub.codeact_agent.action_parser import CodeActResponseParser
-from openhands.controller.agent import Agent
-from openhands.controller.state.state import State
-from openhands.core.config import AgentConfig
-from openhands.core.exceptions import OperationCancelled
-from openhands.core.logger import openhands_logger as logger
-from openhands.core.message import ImageContent, Message, TextContent
-from openhands.events.action import (
+from agenthub.codeact_agent.prompt import EXAMPLES, SYSTEM_MESSAGE
+from opendevin.action import (
     Action,
-    AgentDelegateAction,
+    AgentEchoAction,
     AgentFinishAction,
+    AgentTalkAction,
     CmdRunAction,
-    FileEditAction,
     IPythonRunCellAction,
-    MessageAction,
+    NullAction,
 )
-from openhands.events.observation import (
-    AgentDelegateObservation,
+from opendevin.agent import Agent
+from opendevin.llm.llm import LLM
+from opendevin.observation import (
+    AgentMessageObservation,
     CmdOutputObservation,
-    FileEditObservation,
     IPythonRunCellObservation,
-    UserRejectObservation,
+    UserMessageObservation,
 )
-from openhands.events.observation.error import ErrorObservation
-from openhands.events.observation.observation import Observation
-from openhands.events.serialization.event import truncate_content
-from openhands.llm.llm import LLM
-from openhands.runtime.plugins import (
-    AgentSkillsRequirement,
+from opendevin.sandbox.plugins import (
     JupyterRequirement,
     PluginRequirement,
+    SWEAgentCommandsRequirement,
 )
-from openhands.utils.microagent import MicroAgent
-from openhands.utils.prompt import PromptManager
+from opendevin.state import State
+
+
+def parse_response(response) -> str:
+    action = response.choices[0].message.content
+    for lang in ['bash', 'ipython']:
+        if f'<execute_{lang}>' in action and f'</execute_{lang}>' not in action:
+            action += f'</execute_{lang}>'
+    return action
 
 
 class CodeActAgent(Agent):
-    VERSION = '1.10'
     """
     The Code Act Agent is a minimalist agent.
     The agent works by passing the model a list of action-observation pairs and prompting the model to take the next step.
-
-    ### Overview
-
-    This agent implements the CodeAct idea ([paper](https://arxiv.org/abs/2402.01030), [tweet](https://twitter.com/xingyaow_/status/1754556835703751087)) that consolidates LLM agents’ **act**ions into a unified **code** action space for both *simplicity* and *performance* (see paper for more details).
-
-    The conceptual idea is illustrated below. At each turn, the agent can:
-
-    1. **Converse**: Communicate with humans in natural language to ask for clarification, confirmation, etc.
-    2. **CodeAct**: Choose to perform the task by executing code
-    - Execute any valid Linux `bash` command
-    - Execute any valid `Python` code with [an interactive Python interpreter](https://ipython.org/). This is simulated through `bash` command, see plugin system below for more details.
-
-    ![image](https://github.com/All-Hands-AI/OpenHands/assets/38853559/92b622e3-72ad-4a61-8f41-8c040b6d5fb3)
-
     """
 
-    sandbox_plugins: list[PluginRequirement] = [
-        # NOTE: AgentSkillsRequirement need to go before JupyterRequirement, since
-        # AgentSkillsRequirement provides a lot of Python functions,
-        # and it needs to be initialized before Jupyter for Jupyter to use those functions.
-        AgentSkillsRequirement(),
-        JupyterRequirement(),
-    ]
-
-    action_parser = CodeActResponseParser()
+    sandbox_plugins: List[PluginRequirement] = [JupyterRequirement(), SWEAgentCommandsRequirement()]
+    SUPPORTED_ACTIONS = (
+        CmdRunAction,
+        IPythonRunCellAction,
+        AgentEchoAction,
+        AgentTalkAction,
+        NullAction
+    )
+    SUPPORTED_OBSERVATIONS = (
+        AgentMessageObservation,
+        UserMessageObservation,
+        CmdOutputObservation,
+        IPythonRunCellObservation
+    )
 
     def __init__(
         self,
         llm: LLM,
-        config: AgentConfig,
     ) -> None:
-        """Initializes a new instance of the CodeActAgent class.
+        """
+        Initializes a new instance of the CodeActAgent class.
 
         Parameters:
         - llm (LLM): The llm to be used by this agent
         """
-        super().__init__(llm, config)
-        self.reset()
-
-        self.micro_agent = (
-            MicroAgent(
-                os.path.join(
-                    os.path.dirname(__file__), 'micro', f'{config.micro_agent_name}.md'
-                )
-            )
-            if config.micro_agent_name
-            else None
-        )
-
-        self.prompt_manager = PromptManager(
-            prompt_dir=os.path.join(os.path.dirname(__file__)),
-            agent_skills_docs=AgentSkillsRequirement.documentation,
-            micro_agent=self.micro_agent,
-        )
-
-    def action_to_str(self, 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, FileEditAction):
-            return f'{action.thought}\n<execute_edit>\n{action.diff_block}\n</execute_edit>'
-        elif isinstance(action, MessageAction):
-            return action.content
-        elif isinstance(action, AgentFinishAction) and action.source == 'agent':
-            return action.thought
-        return ''
-
-    def get_action_message(self, action: Action) -> Message | None:
-        if (
-            isinstance(action, AgentDelegateAction)
-            or isinstance(action, FileEditAction)
-            or isinstance(action, CmdRunAction)
-            or isinstance(action, IPythonRunCellAction)
-            or isinstance(action, MessageAction)
-            or (isinstance(action, AgentFinishAction) and action.source == 'agent')
-        ):
-            content = [TextContent(text=self.action_to_str(action))]
-
-            if (
-                self.llm.vision_is_active()
-                and isinstance(action, MessageAction)
-                and action.images_urls
-            ):
-                content.append(ImageContent(image_urls=action.images_urls))
-
-            return Message(
-                role='user' if action.source == 'user' else 'assistant', content=content
-            )
-        return None
-
-    def get_observation_message(self, obs: Observation) -> Message | None:
-        max_message_chars = self.llm.config.max_message_chars
-        obs_prefix = 'OBSERVATION:\n'
-        if isinstance(obs, CmdOutputObservation):
-            text = obs_prefix + truncate_content(obs.content, max_message_chars)
-            text += (
-                f'\n[Command {obs.command_id} finished with exit code {obs.exit_code}]'
-            )
-            return Message(role='user', content=[TextContent(text=text)])
-        elif isinstance(obs, IPythonRunCellObservation):
-            text = obs_prefix + obs.content
-            # replace base64 images with a placeholder
-            splitted = text.split('\n')
-            for i, line in enumerate(splitted):
-                if '![image](data:image/png;base64,' in line:
-                    splitted[i] = (
-                        '![image](data:image/png;base64, ...) already displayed to user'
-                    )
-            text = '\n'.join(splitted)
-            text = truncate_content(text, max_message_chars)
-            return Message(role='user', content=[TextContent(text=text)])
-        elif isinstance(obs, FileEditObservation):
-            text = obs_prefix + truncate_content(obs.content, max_message_chars)
-            return Message(role='user', content=[TextContent(text=text)])
-        elif isinstance(obs, AgentDelegateObservation):
-            text = obs_prefix + truncate_content(
-                obs.outputs['content'] if 'content' in obs.outputs else '',
-                max_message_chars,
-            )
-            return Message(role='user', content=[TextContent(text=text)])
-        elif isinstance(obs, ErrorObservation):
-            text = obs_prefix + truncate_content(obs.content, max_message_chars)
-            text += '\n[Error occurred in processing last action]'
-            return Message(role='user', content=[TextContent(text=text)])
-        elif isinstance(obs, UserRejectObservation):
-            text = obs_prefix + truncate_content(obs.content, max_message_chars)
-            text += '\n[Last action has been rejected by the user]'
-            return Message(role='user', content=[TextContent(text=text)])
-        else:
-            # If an observation message is not returned, it will cause an error
-            # when the LLM tries to return the next message
-            raise ValueError(f'Unknown observation type: {type(obs)}')
-
-    def reset(self) -> None:
-        """Resets the CodeAct Agent."""
-        super().reset()
+        super().__init__(llm)
+        self.messages: List[Mapping[str, str]] = []
 
     def step(self, state: State) -> Action:
-        """Performs one step using the CodeAct Agent.
+        """
+        Performs one step using the Code Act 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
+        - state (State): used to get updated info and background commands
 
         Returns:
-        - CmdRunAction(command) - bash command to run
-        - IPythonRunCellAction(code) - IPython code to run
-        - AgentDelegateAction(agent, inputs) - delegate action for (sub)task
-        - FileEditAction(diff_block) - Search/Replace block to edit.
-        - 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()
+        - CmdRunAction(command) - command action to run
+        - AgentEchoAction(content=INVALID_INPUT_MESSAGE) - invalid command output
 
-        # prepare what we want to send to the LLM
-        messages = self._get_messages(state)
-        params = {
-            'messages': self.llm.format_messages_for_llm(messages),
-            'stop': [
+        Raises:
+        - NotImplementedError - for actions other than CmdOutputObservation or AgentMessageObservation
+        """
+
+        if len(self.messages) == 0:
+            assert state.plan.main_goal, 'Expecting instruction to be set'
+            self.messages = [
+                {'role': 'system', 'content': SYSTEM_MESSAGE},
+                {
+                    'role': 'user',
+                    'content': (
+                        f'Here is an example of how you can interact with the environment for task solving:\n{EXAMPLES}\n\n'
+                        f"NOW, LET'S START!\n\n{state.plan.main_goal}"
+                    )
+                },
+            ]
+        updated_info = state.updated_info
+        if updated_info:
+            for prev_action, obs in updated_info:
+                assert isinstance(
+                    prev_action, self.SUPPORTED_ACTIONS
+                ), f'{prev_action.__class__} is not supported (supported: {self.SUPPORTED_ACTIONS})'
+                # prev_action is already added to self.messages when returned
+
+                # handle observations
+                assert isinstance(
+                    obs, self.SUPPORTED_OBSERVATIONS
+                ), f'{obs.__class__} is not supported (supported: {self.SUPPORTED_OBSERVATIONS})'
+                if isinstance(obs, (AgentMessageObservation, UserMessageObservation)):
+                    self.messages.append(
+                        {'role': 'user', 'content': obs.content})
+
+                    # User wants to exit
+                    if obs.content.strip() == '/exit':
+                        return AgentFinishAction()
+                elif isinstance(obs, CmdOutputObservation):
+                    content = 'OBSERVATION:\n' + obs.content
+                    content += f'\n[Command {obs.command_id} finished with exit code {obs.exit_code}]]'
+                    self.messages.append({'role': 'user', 'content': content})
+                elif isinstance(obs, IPythonRunCellObservation):
+                    content = 'OBSERVATION:\n' + obs.content
+                    # replace base64 images with a placeholder
+                    splited = content.split('\n')
+                    for i, line in enumerate(splited):
+                        if '![image](data:image/png;base64,' in line:
+                            splited[i] = '![image](data:image/png;base64, ...) already displayed to user'
+                    content = '\n'.join(splited)
+                    self.messages.append({'role': 'user', 'content': content})
+                else:
+                    raise NotImplementedError(
+                        f'Unknown observation type: {obs.__class__}'
+                    )
+
+        response = self.llm.completion(
+            messages=self.messages,
+            stop=[
                 '</execute_ipython>',
                 '</execute_bash>',
-                '</execute_browse>',
-                '</execute_edit>',
             ],
-        }
-
-        if self.llm.is_caching_prompt_active():
-            params['extra_headers'] = {
-                'anthropic-beta': 'prompt-caching-2024-07-31',
-            }
-
-        # TODO: move exception handling to agent_controller
-        try:
-            response = self.llm.completion(**params)
-        except OperationCancelled as e:
-            raise e
-        except Exception as e:
-            logger.error(f'{e}')
-            error_message = '{}: {}'.format(type(e).__name__, str(e).split('\n')[0])
-            return AgentFinishAction(
-                thought=f'Agent encountered an error while processing the last action.\nError: {error_message}\nPlease try again.'
-            )
-
-        return self.action_parser.parse(response)
-
-    def _get_messages(self, state: State) -> list[Message]:
-        messages: list[Message] = [
-            Message(
-                role='system',
-                content=[
-                    TextContent(
-                        text=self.prompt_manager.system_message,
-                        cache_prompt=self.llm.is_caching_prompt_active(),  # Cache system prompt
-                    )
-                ],
-            ),
-            Message(
-                role='user',
-                content=[
-                    TextContent(
-                        text=self.prompt_manager.initial_user_message,
-                        cache_prompt=self.llm.is_caching_prompt_active(),  # if the user asks the same query,
-                    )
-                ],
-            ),
-        ]
-
-        for event in state.history.get_events():
-            # create a regular message from an event
-            if isinstance(event, Action):
-                message = self.get_action_message(event)
-            elif isinstance(event, Observation):
-                message = self.get_observation_message(event)
-            else:
-                raise ValueError(f'Unknown event type: {type(event)}')
-
-            # add regular message
-            if message:
-                # handle error if the message is the SAME role as the previous message
-                # litellm.exceptions.BadRequestError: litellm.BadRequestError: OpenAIException - Error code: 400 - {'detail': 'Only supports u/a/u/a/u...'}
-                # there shouldn't be two consecutive messages from the same role
-                if messages and messages[-1].role == message.role:
-                    messages[-1].content.extend(message.content)
-                else:
-                    messages.append(message)
-
-        # Add caching to the last 2 user messages
-        if self.llm.is_caching_prompt_active():
-            user_turns_processed = 0
-            for message in reversed(messages):
-                if message.role == 'user' and user_turns_processed < 2:
-                    message.content[
-                        -1
-                    ].cache_prompt = True  # Last item inside the message content
-                    user_turns_processed += 1
-
-        # The latest user message is important:
-        # we want to remind the agent of the environment constraints
-        latest_user_message = next(
-            islice(
-                (
-                    m
-                    for m in reversed(messages)
-                    if m.role == 'user'
-                    and any(isinstance(c, TextContent) for c in m.content)
-                ),
-                1,
-            ),
-            None,
+            temperature=0.0
         )
-        if latest_user_message:
-            reminder_text = f'\n\nENVIRONMENT REMINDER: You have {state.max_iterations - state.iteration} turns left to complete the task. When finished reply with <finish></finish>.'
-            latest_user_message.content.append(TextContent(text=reminder_text))
+        action_str: str = parse_response(response)
+        state.num_of_chars += sum(
+            len(message['content']) for message in self.messages
+        ) + len(action_str)
+        self.messages.append({'role': 'assistant', 'content': action_str})
 
-        return messages
+        if bash_command := re.search(r'<execute_bash>(.*)</execute_bash>', action_str, re.DOTALL):
+            # remove the command from the action string to get thought
+            thought = action_str.replace(bash_command.group(0), '').strip()
+            # a command was found
+            command_group = bash_command.group(1).strip()
+            if command_group.strip() == 'exit':
+                return AgentFinishAction()
+            return CmdRunAction(command=command_group, thought=thought)
+        elif python_code := re.search(r'<execute_ipython>(.*)</execute_ipython>', action_str, re.DOTALL):
+            # a code block was found
+            code_group = python_code.group(1).strip()
+            thought = action_str.replace(python_code.group(0), '').strip()
+            return IPythonRunCellAction(code=code_group, thought=thought)
+        else:
+            # We assume the LLM is GOOD enough that when it returns pure natural language
+            # it want to talk to the user
+            return AgentTalkAction(content=action_str)
+
+    def search_memory(self, query: str) -> List[str]:
+        raise NotImplementedError('Implement this abstract method')

agenthub/codeact_agent/micro/github.md

@@ -1,69 +0,0 @@
----
-name: github
-agent: CodeActAgent
-require_env_var:
-    SANDBOX_ENV_GITHUB_TOKEN: "Create a GitHub Personal Access Token (https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens) and set it as SANDBOX_GITHUB_TOKEN in your environment variables."
----
-
-# How to Interact with Github
-
-## Environment Variable Available
-
-- `GITHUB_TOKEN`: A read-only token for Github.
-
-## Using GitHub's RESTful API
-
-Use `curl` with the `GITHUB_TOKEN` to interact with GitHub's API. Here are some common operations:
-
-Here's a template for API calls:
-
-```sh
-curl -H "Authorization: token $GITHUB_TOKEN" \
-    "https://api.github.com/{endpoint}"
-```
-
-First replace `{endpoint}` with the specific API path. Common operations:
-
-1. View an issue or pull request:
-   - Issues: `/repos/{owner}/{repo}/issues/{issue_number}`
-   - Pull requests: `/repos/{owner}/{repo}/pulls/{pull_request_number}`
-
-2. List repository issues or pull requests:
-   - Issues: `/repos/{owner}/{repo}/issues`
-   - Pull requests: `/repos/{owner}/{repo}/pulls`
-
-3. Search issues or pull requests:
-   - `/search/issues?q=repo:{owner}/{repo}+is:{type}+{search_term}+state:{state}`
-   - Replace `{type}` with `issue` or `pr`
-
-4. List repository branches:
-   `/repos/{owner}/{repo}/branches`
-
-5. Get commit details:
-   `/repos/{owner}/{repo}/commits/{commit_sha}`
-
-6. Get repository details:
-   `/repos/{owner}/{repo}`
-
-7. Get user information:
-   `/user`
-
-8. Search repositories:
-   `/search/repositories?q={query}`
-
-9. Get rate limit status:
-   `/rate_limit`
-
-Replace `{owner}`, `{repo}`, `{commit_sha}`, `{issue_number}`, `{pull_request_number}`,
-`{search_term}`, `{state}`, and `{query}` with appropriate values.
-
-## Important Notes
-
-1. Always use the GitHub API for operations instead of a web browser.
-2. The `GITHUB_TOKEN` is read-only. Avoid operations that require write access.
-3. Git config (username and email) is pre-set. Do not modify.
-4. Edit and test code locally. Never push directly to remote.
-5. Verify correct branch before committing.
-6. Commit changes frequently.
-7. If the issue or task is ambiguous or lacks sufficient detail, always request clarification from the user before proceeding.
-8. You should avoid using command line tools like `sed` for file editing.

agenthub/codeact_agent/prompt.py

@@ -0,0 +1,226 @@
+from opendevin.sandbox.plugins import SWEAgentCommandsRequirement
+
+_SWEAGENT_BASH_DOCS = '\n'.join(
+    filter(
+        lambda x: not x.startswith('submit'),
+        SWEAgentCommandsRequirement.documentation.split('\n')
+    )
+)
+# _SWEAGENT_BASH_DOCS content below:
+"""
+open <path> [<line_number>] - opens the file at the given path in the editor. If line_number is provided, the window will be move to include that line
+goto <line_number> - moves the window to show <line_number>
+scroll_down - moves the window down {WINDOW} lines
+scroll_up - moves the window down {WINDOW} lines
+create <filename> - creates and opens a new file with the given name
+search_dir <search_term> [<dir>] - searches for search_term in all files in dir. If dir is not provided, searches in the current directory
+search_file <search_term> [<file>] - searches for search_term in file. If file is not provided, searches in the current open file
+find_file <file_name> [<dir>] - finds all files with the given name in dir. If dir is not provided, searches in the current directory
+edit <start_line>:<end_line>
+<replacement_text>
+end_of_edit - replaces lines <start_line> through <end_line> (inclusive) with the given text in the open file. The replacement text is terminated by a line with only end_of_edit on it. All of the <replacement text> will be entered, so make sure your indentation is formatted properly. Python files will be checked for syntax errors after the edit. If the system detects a syntax error, the edit will not be executed. Simply try to edit the file again, but make sure to read the error message and modify the edit command you issue accordingly. Issuing the same command a second time will just lead to the same error message again.
+"""
+
+_COMMAND_DOCS = (
+    '\nApart from the standard bash commands, you can also use the following special commands in <execute_bash> environment:\n'
+    f'{_SWEAGENT_BASH_DOCS}'
+    "Please note that THE EDIT COMMAND REQUIRES PROPER INDENTATION. If you'd like to add the line '        print(x)' you 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 = f"""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>.
+The assistant should attempt fewer things at a time instead of putting too much commands OR code in one "execute" block.
+The assistant can install Python packages through bash by <execute_bash> pip install [package needed] </execute_bash> and should always import packages and define variables before starting to use them.
+The assistant should stop <execute> and provide an answer when they have already obtained the answer from the execution result.
+
+{_COMMAND_DOCS}
+
+Whenever possible, execute the code for the user using <execute_ipython> or <execute_bash> instead of providing it.
+The assistant's response should be concise, but do express their thoughts.
+Try to include one of <execute_ipython> or <execute_bash> in each of your responses, unless it is a direct answer to a question OR a message to the user.
+"""
+
+EXAMPLES = """
+--- START OF EXAMPLE ---
+
+USER: Can you create a list of numbers from 1 to 10, and create a web page to display them at port 5000?
+
+ASSISTANT:
+Sure! Let me write the Python code for starting a web server and save it to a file `app.py`:
+<execute_ipython>
+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)
+'''
+with open('app.py', 'w') as f:
+    f.write(CODE)
+</execute_ipython>
+
+USER:
+Observation:
+[Code executed successfully with no output]
+
+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 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_bash>
+open app.py
+</execute_bash>
+
+USER:
+[File: /workspace/app.py (11 lines total)]
+1:
+2:from flask import Flask
+3:app = Flask(__name__)
+4:
+5:@app.route('/')
+6:def index():
+7:    numbers = list(range(1, 11))
+8:    return str(numbers)
+9:
+10:if __name__ == '__main__':
+11:    app.run(port=5000)
+
+ASSISTANT:
+I should edit the file to display the numbers in a table format. Let me do that for you:
+
+<execute_bash>
+edit 8:8 <<EOF
+    return '<table>' + ''.join([f'<tr><td>{i}</td></tr>' for i in numbers]) + '</table>'
+EOF
+</execute_bash>
+
+USER:
+Observation:
+[File: /workspace/app.py (11 lines total)]
+1:
+2:from flask import Flask
+3:app = Flask(__name__)
+4:
+5:@app.route('/')
+6:def index():
+7:    numbers = list(range(1, 11))
+8:    return '<table>' + ''.join([f'<tr><td>{i}</td></tr>' for i in numbers]) + '</table>'
+9:
+10:if __name__ == '__main__':
+11:    app.run(port=5000)
+File updated. Please review the changes and make sure they are correct (correct indentation, no duplicate lines, etc). Edit the file again if necessary.
+
+ASSISTANT:
+The file has been updated. Let me run the Python file again with the new changes:
+<execute_bash>
+python3 app.py > server.log 2>&1 &
+</execute_bash>
+
+USER:
+Observation:
+[1] 126
+
+ASSISTANT:
+The server is running on port 5000 with PID 126. You can access the list of numbers in a table format by visiting http://127.0.0.1:5000. Free free to let me know if you have any further requests!
+
+--- END OF EXAMPLE ---
+"""
+
+INVALID_INPUT_MESSAGE = (
+    "I don't understand your input. \n"
+    'If you want to execute a bash command, please use <execute_bash> YOUR_COMMAND_HERE </execute_bash>.\n'
+    'If you want to execute a block of Python code, please use <execute_ipython> YOUR_COMMAND_HERE </execute_ipython>.\n'
+)

agenthub/codeact_agent/system_prompt.j2

@@ -1,74 +0,0 @@
-{% set MINIMAL_SYSTEM_PREFIX %}
-A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed answers to the user's questions.
-The assistant can use a Python environment with <execute_ipython>, e.g.:
-<execute_ipython>
-print("Hello World!")
-</execute_ipython>
-The assistant can execute bash commands wrapped with <execute_bash>, e.g. <execute_bash> ls </execute_bash>.
-If a bash command returns exit code `-1`, this means the process is not yet finished.
-The assistant must then send a second <execute_bash>. The second <execute_bash> can be empty
-(which will retrieve any additional logs), or it can contain text to be sent to STDIN of the running process,
-or it can contain the text `ctrl+c` to interrupt the process.
-
-For commands that may run indefinitely, the output should be redirected to a file and the command run
-in the background, e.g. <execute_bash> python3 app.py > server.log 2>&1 & </execute_bash>
-If a command execution result says "Command timed out. Sending SIGINT to the process",
-the assistant should retry running the command in the background.
-{% endset %}
-{% set 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>.
-{% endset %}
-{% set EDIT_DIFF_PREFIX %}
-The assistant can edit files with <execute_edit> and </execute_edit>. Each change must be described with a SEARCH/REPLACE block.
-Every SEARCH section must EXACTLY MATCH the existing file content, character for character, including all comments, docstrings, etc. SEARCH/REPLACE blocks will replace all matching occurrences. Include enough lines to make the SEARCH blocks uniquely match the lines to change.
-Keep SEARCH/REPLACE blocks as concise as possible. Break large SEARCH/REPLACE blocks into a series of smaller blocks that each change a small portion of the file.
-To move code within a file, use 2 SEARCH/REPLACE blocks: 1 to delete it from its current location, 1 to insert it in the new location.
-If you want to put code in a new file, use a SEARCH/REPLACE block with: a new file path, an empty `SEARCH` section and the new file's contents in the `REPLACE` section.
-
-Every SEARCH/REPLACE block must use this format:
-1. The FULL file path alone on a line, verbatim. No bold asterisks, no quotes around it, no escaping of characters, etc.
-2. The start of search block: <<<<<<< SEARCH
-3. A contiguous chunk of lines to search for in the existing source code
-4. The dividing line: =======
-5. The lines to replace into the source code
-6. The end of the replace block: >>>>>>> REPLACE
-
-For example,
-<execute_edit>
-demo.py
-<<<<<<< SEARCH
-    print("hello")
-=======
-    print("goodbye")
->>>>>>> REPLACE
-</execute_edit>
-
-{% endset %}
-{% set 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.
-{% endset %}
-{% set SYSTEM_PREFIX = MINIMAL_SYSTEM_PREFIX + BROWSING_PREFIX + EDIT_DIFF_PREFIX + PIP_INSTALL_PREFIX %}
-{% set COMMAND_DOCS %}
-Apart from the standard Python library, the assistant can also use the following functions (already imported) in <execute_ipython> environment:
-{{ agent_skills_docs }}
-IMPORTANT:
-- `open_file` only returns the first 100 lines of the file by default! The assistant MUST use `scroll_down` repeatedly to read the full file BEFORE making edits!
-- Indentation is important and code that is not indented correctly will fail and require fixing before it can be run.
-- Any code issued should be less than 50 lines to avoid context being cut off!
-{% endset %}
-{% set 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.
-The assistant should utilize full file paths and the `pwd` command to prevent path-related errors.
-The assistant must avoid apologies and thanks in its responses.
-
-{% endset %}
-{# Combine all parts without newlines between them #}
-{{ SYSTEM_PREFIX -}}
-{{- COMMAND_DOCS -}}
-{{- SYSTEM_SUFFIX }}

agenthub/codeact_agent/user_prompt.j2

@@ -1,199 +0,0 @@
-{% set DEFAULT_EXAMPLE %}
---- 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 write the Python code for starting a web server and save it to a new Python file `app.py`:
-<execute_edit>
-app.py
-<<<<<<< SEARCH
-=======
-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)
->>>>>>> REPLACE
-</execute_edit>
-
-
-USER:
-OBSERVATION:
-I updated the file app.py by
-appending:
-from flask import Flask
-app = Flask(__name__)
-
-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/openhands/.local/lib/python3.10/site-packages (from flask) (3.1.3)
-Requirement already satisfied: MarkupSafe>=2.0 in /home/openhands/.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_edit>
-app.py
-<<<<<<< SEARCH
-    return str(numbers)
-=======
-    return '<table>' + ''.join([f'<tr><td>{i}</td></tr>' for i in numbers]) + '</table>'
->>>>>>> REPLACE
-</execute_edit>
-
-USER:
-Observation:
-I updated the file app.py by
-replacing:
-    return str(numbers)
-with:
-    return '<table>' + ''.join([f'<tr><td>{i}</td></tr>' for i in numbers]) + '</table>'
-
-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 ---
-{% endset %}
-Here is an example of how you can interact with the environment for task solving:
-{{ DEFAULT_EXAMPLE }}
-{% if micro_agent %}
---- BEGIN OF GUIDELINE ---
-The following information may assist you in completing your task:
-
-{{ micro_agent }}
---- END OF GUIDELINE ---
-{% endif %}
-
-NOW, LET'S START!

agenthub/codeact_swe_agent/README.md

@@ -1,7 +0,0 @@
-# CodeAct (SWE Edit Specialized)
-
-This agent is an adaptation of the original [SWE Agent](https://swe-agent.com/) based on CodeAct using the `agentskills` library of OpenHands.
-
-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.

agenthub/codeact_swe_agent/__init__.py

@@ -1,4 +0,0 @@
-from agenthub.codeact_swe_agent.codeact_swe_agent import CodeActSWEAgent
-from openhands.controller.agent import Agent
-
-Agent.register('CodeActSWEAgent', CodeActSWEAgent)

agenthub/codeact_swe_agent/action_parser.py

@@ -1,110 +0,0 @@
-import re
-
-from openhands.controller.action_parser import ActionParser
-from openhands.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)

agenthub/codeact_swe_agent/codeact_swe_agent.py

@@ -1,225 +0,0 @@
-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 openhands.controller.agent import Agent
-from openhands.controller.state.state import State
-from openhands.core.config import AgentConfig
-from openhands.core.message import ImageContent, Message, TextContent
-from openhands.events.action import (
-    Action,
-    AgentFinishAction,
-    CmdRunAction,
-    IPythonRunCellAction,
-    MessageAction,
-)
-from openhands.events.observation import (
-    CmdOutputObservation,
-    IPythonRunCellObservation,
-)
-from openhands.events.observation.error import ErrorObservation
-from openhands.events.observation.observation import Observation
-from openhands.events.serialization.event import truncate_content
-from openhands.llm.llm import LLM
-from openhands.runtime.plugins import (
-    AgentSkillsRequirement,
-    JupyterRequirement,
-    PluginRequirement,
-)
-
-
-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 OpenHands.
-
-    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(),
-    ]
-
-    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,
-        config: AgentConfig,
-    ) -> None:
-        """Initializes a new instance of the CodeActSWEAgent class.
-
-        Parameters:
-        - llm (LLM): The llm to be used by this agent
-        """
-        super().__init__(llm, config)
-        self.reset()
-
-    def action_to_str(self, 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(self, action: Action) -> Message | None:
-        if (
-            isinstance(action, CmdRunAction)
-            or isinstance(action, IPythonRunCellAction)
-            or isinstance(action, MessageAction)
-        ):
-            content = [TextContent(text=self.action_to_str(action))]
-
-            if (
-                self.llm.vision_is_active()
-                and isinstance(action, MessageAction)
-                and action.images_urls
-            ):
-                content.append(ImageContent(image_urls=action.images_urls))
-
-            return Message(
-                role='user' if action.source == 'user' else 'assistant', content=content
-            )
-
-        return None
-
-    def get_observation_message(self, obs: Observation) -> Message | None:
-        max_message_chars = self.llm.config.max_message_chars
-        if isinstance(obs, CmdOutputObservation):
-            text = 'OBSERVATION:\n' + truncate_content(obs.content, max_message_chars)
-            text += (
-                f'\n[Command {obs.command_id} finished with exit code {obs.exit_code}]'
-            )
-            return Message(role='user', content=[TextContent(text=text)])
-        elif isinstance(obs, IPythonRunCellObservation):
-            text = 'OBSERVATION:\n' + obs.content
-            # replace base64 images with a placeholder
-            splitted = text.split('\n')
-            for i, line in enumerate(splitted):
-                if '![image](data:image/png;base64,' in line:
-                    splitted[i] = (
-                        '![image](data:image/png;base64, ...) already displayed to user'
-                    )
-            text = '\n'.join(splitted)
-            text = truncate_content(text, max_message_chars)
-            return Message(role='user', content=[TextContent(text=text)])
-        elif isinstance(obs, ErrorObservation):
-            text = 'OBSERVATION:\n' + truncate_content(obs.content, max_message_chars)
-            text += '\n[Error occurred in processing last action]'
-            return Message(role='user', content=[TextContent(text=text)])
-        else:
-            # If an observation message is not returned, it will cause an error
-            # when the LLM tries to return the next message
-            raise ValueError(f'Unknown observation type: {type(obs)}')
-
-    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[Message] = self._get_messages(state)
-        response = self.llm.completion(
-            messages=self.llm.format_messages_for_llm(messages),
-            stop=[
-                '</execute_ipython>',
-                '</execute_bash>',
-            ],
-            temperature=0.0,
-        )
-
-        return self.response_parser.parse(response)
-
-    def _get_messages(self, state: State) -> list[Message]:
-        messages: list[Message] = [
-            Message(role='system', content=[TextContent(text=self.system_message)]),
-            Message(role='user', content=[TextContent(text=self.in_context_example)]),
-        ]
-
-        for event in state.history.get_events():
-            # create a regular message from an event
-            if isinstance(event, Action):
-                message = self.get_action_message(event)
-            elif isinstance(event, Observation):
-                message = self.get_observation_message(event)
-            else:
-                raise ValueError(f'Unknown event type: {type(event)}')
-
-            # add regular message
-            if message:
-                # handle error if the message is the SAME role as the previous message
-                # litellm.exceptions.BadRequestError: litellm.BadRequestError: OpenAIException - Error code: 400 - {'detail': 'Only supports u/a/u/a/u...'}
-                # there should not have two consecutive messages from the same role
-                if messages and messages[-1].role == message.role:
-                    messages[-1].content.extend(message.content)
-                else:
-                    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
-        )
-
-        # Get the last user text inside content
-        if latest_user_message:
-            latest_user_message_text = next(
-                (
-                    t
-                    for t in reversed(latest_user_message.content)
-                    if isinstance(t, TextContent)
-                )
-            )
-            # add a reminder to the prompt
-            reminder_text = f'\n\nENVIRONMENT REMINDER: You have {state.max_iterations - state.iteration} turns left to complete the task. When finished reply with <finish></finish>.'
-
-            if latest_user_message_text:
-                latest_user_message_text.text = (
-                    latest_user_message_text.text + reminder_text
-                )
-            else:
-                latest_user_message_text = TextContent(text=reminder_text)
-                latest_user_message.content.append(latest_user_message_text)
-
-        return messages

agenthub/codeact_swe_agent/prompt.py

@@ -1,455 +0,0 @@
-from openhands.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 ---
-"""

agenthub/codeact_swe_agent/response_parser.py

@@ -1,46 +0,0 @@
-from agenthub.codeact_swe_agent.action_parser import (
-    CodeActSWEActionParserCmdRun,
-    CodeActSWEActionParserFinish,
-    CodeActSWEActionParserIPythonRunCell,
-    CodeActSWEActionParserMessage,
-)
-from openhands.controller.action_parser import ResponseParser
-from openhands.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)

agenthub/delegator_agent/__init__.py

@@ -1,4 +1,5 @@
-from agenthub.delegator_agent.agent import DelegatorAgent
-from openhands.controller.agent import Agent
+from opendevin.agent import Agent
+
+from .agent import DelegatorAgent
 
 Agent.register('DelegatorAgent', DelegatorAgent)

agenthub/delegator_agent/agent.py

@@ -1,83 +1,72 @@
-from openhands.controller.agent import Agent
-from openhands.controller.state.state import State
-from openhands.core.config import AgentConfig
-from openhands.events.action import Action, AgentDelegateAction, AgentFinishAction
-from openhands.events.observation import AgentDelegateObservation
-from openhands.llm.llm import LLM
+from typing import List
+
+from opendevin.action import Action, AgentDelegateAction, AgentFinishAction
+from opendevin.agent import Agent
+from opendevin.llm.llm import LLM
+from opendevin.observation import AgentDelegateObservation
+from opendevin.state import State
 
 
 class DelegatorAgent(Agent):
-    VERSION = '1.0'
     """
-    The Delegator Agent is responsible for delegating tasks to other agents based on the current task.
+    The planner agent utilizes a special prompting strategy to create long term plans for solving problems.
+    The agent is given its previous action-observation pairs, current task, and hint based on last action taken at every step.
     """
-
     current_delegate: str = ''
 
-    def __init__(self, llm: LLM, config: AgentConfig):
-        """Initialize the Delegator Agent with an LLM
+    def __init__(self, llm: LLM):
+        """
+        Initialize the Delegator Agent with an LLM
 
         Parameters:
         - llm (LLM): The llm to be used by this agent
         """
-        super().__init__(llm, config)
+        super().__init__(llm)
 
     def step(self, state: State) -> Action:
-        """Checks to see if current step is completed, returns AgentFinishAction if True.
-        Otherwise, delegates the task to the next agent in the pipeline.
+        """
+        Checks to see if current step is completed, returns AgentFinishAction if True.
+        Otherwise, creates a plan prompt and sends to model for inference, returning the result as the next action.
 
         Parameters:
         - state (State): The current state given the previous actions and observations
 
         Returns:
         - AgentFinishAction: If the last state was 'completed', 'verified', or 'abandoned'
-        - AgentDelegateAction: The next agent to delegate the task to
+        - Action: The next action to take based on llm response
         """
         if self.current_delegate == '':
             self.current_delegate = 'study'
-            task, _ = state.get_current_user_intent()
-            return AgentDelegateAction(
-                agent='StudyRepoForTaskAgent', inputs={'task': task}
-            )
+            return AgentDelegateAction(agent='StudyRepoForTaskAgent', inputs={
+                'task': state.plan.main_goal
+            })
 
-        # last observation in history should be from the delegate
-        last_observation = state.history.get_last_observation()
-
-        if not isinstance(last_observation, AgentDelegateObservation):
+        lastObservation = state.history[-1][1]
+        if not isinstance(lastObservation, 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'],
-                },
-            )
+            return AgentDelegateAction(agent='Coder', inputs={
+                'task': state.plan.main_goal,
+                'summary': lastObservation.outputs['summary'],
+            })
         elif self.current_delegate == 'coder':
             self.current_delegate = 'verifier'
-            return AgentDelegateAction(
-                agent='VerifierAgent',
-                inputs={
-                    'task': goal,
-                },
-            )
+            return AgentDelegateAction(agent='Verifier', inputs={
+                'task': state.plan.main_goal,
+            })
         elif self.current_delegate == 'verifier':
-            if (
-                'completed' in last_observation.outputs
-                and last_observation.outputs['completed']
-            ):
+            if 'completed' in lastObservation.outputs and lastObservation.outputs['completed']:
                 return AgentFinishAction()
             else:
                 self.current_delegate = 'coder'
-                return AgentDelegateAction(
-                    agent='CoderAgent',
-                    inputs={
-                        'task': goal,
-                        'summary': last_observation.outputs['summary'],
-                    },
-                )
+                return AgentDelegateAction(agent='Coder', inputs={
+                    'task': state.plan.main_goal,
+                    'summary': lastObservation.outputs['summary'],
+                })
         else:
             raise Exception('Invalid delegate state')
+
+    def search_memory(self, query: str) -> List[str]:
+        return []

agenthub/dummy_agent/__init__.py

@@ -1,4 +1,5 @@
-from agenthub.dummy_agent.agent import DummyAgent
-from openhands.controller.agent import Agent
+from opendevin.agent import Agent
+
+from .agent import DummyAgent
 
 Agent.register('DummyAgent', DummyAgent)

agenthub/dummy_agent/agent.py

@@ -1,211 +1,118 @@
-from typing import TypedDict, Union
+import time
+from typing import List, TypedDict
 
-from openhands.controller.agent import Agent
-from openhands.controller.state.state import State
-from openhands.core.config import AgentConfig
-from openhands.core.schema import AgentState
-from openhands.events.action import (
+from opendevin.action import (
     Action,
     AddTaskAction,
     AgentFinishAction,
-    AgentRejectAction,
-    BrowseInteractiveAction,
+    AgentRecallAction,
+    AgentThinkAction,
     BrowseURLAction,
     CmdRunAction,
     FileReadAction,
     FileWriteAction,
-    MessageAction,
     ModifyTaskAction,
 )
-from openhands.events.observation import (
-    AgentStateChangedObservation,
+from opendevin.agent import Agent
+from opendevin.llm.llm import LLM
+from opendevin.observation import (
+    AgentRecallObservation,
     CmdOutputObservation,
     FileReadObservation,
     FileWriteObservation,
     NullObservation,
     Observation,
 )
-from openhands.events.serialization.event import event_to_dict
-from openhands.llm.llm import LLM
+from opendevin.state import State
 
 """
 FIXME: There are a few problems this surfaced
 * FileWrites seem to add an unintended newline at the end of the file
+* command_id is sometimes a number, sometimes a string
+* Why isn't the output of the background command split between two steps?
 * Browser not working
 """
 
-ActionObs = TypedDict(
-    'ActionObs', {'action': Action, 'observations': list[Observation]}
-)
+ActionObs = TypedDict('ActionObs', {'action': Action, 'observations': List[Observation]})
+
+BACKGROUND_CMD = 'echo "This is in the background" && sleep .1 && echo "This too"'
 
 
 class DummyAgent(Agent):
-    VERSION = '1.0'
     """
     The DummyAgent is used for e2e testing. It just sends the same set of actions deterministically,
     without making any LLM calls.
     """
 
-    def __init__(self, llm: LLM, config: AgentConfig):
-        super().__init__(llm, config)
-        self.steps: list[ActionObs] = [
-            {
-                'action': AddTaskAction(
-                    parent='None', goal='check the current directory'
-                ),
-                'observations': [],
-            },
-            {
-                'action': AddTaskAction(parent='0', goal='run ls'),
-                'observations': [],
-            },
-            {
-                'action': ModifyTaskAction(task_id='0', state='in_progress'),
-                'observations': [],
-            },
-            {
-                'action': MessageAction('Time to get started!'),
-                'observations': [],
-            },
-            {
-                'action': CmdRunAction(command='echo "foo"'),
-                'observations': [
-                    CmdOutputObservation(
-                        'foo', command_id=-1, command='echo "foo"', exit_code=0
-                    )
-                ],
-            },
-            {
-                'action': FileWriteAction(
-                    content='echo "Hello, World!"', path='hello.sh'
-                ),
-                'observations': [
-                    FileWriteObservation(
-                        content='echo "Hello, World!"', path='hello.sh'
-                    )
-                ],
-            },
-            {
-                'action': FileReadAction(path='hello.sh'),
-                'observations': [
-                    FileReadObservation('echo "Hello, World!"\n', path='hello.sh')
-                ],
-            },
-            {
-                'action': CmdRunAction(command='bash hello.sh'),
-                'observations': [
-                    CmdOutputObservation(
-                        'bash: hello.sh: No such file or directory',
-                        command_id=-1,
-                        command='bash workspace/hello.sh',
-                        exit_code=127,
-                    )
-                ],
-            },
-            {
-                'action': BrowseURLAction(url='https://google.com'),
-                'observations': [
-                    # BrowserOutputObservation('<html><body>Simulated Google page</body></html>',url='https://google.com',screenshot=''),
-                ],
-            },
-            {
-                'action': BrowseInteractiveAction(
-                    browser_actions='goto("https://google.com")'
-                ),
-                'observations': [
-                    # BrowserOutputObservation('<html><body>Simulated Google page after interaction</body></html>',url='https://google.com',screenshot=''),
-                ],
-            },
-            {
-                'action': AgentRejectAction(),
-                'observations': [NullObservation('')],
-            },
-            {
-                'action': AgentFinishAction(
-                    outputs={}, thought='Task completed', action='finish'
-                ),
-                'observations': [AgentStateChangedObservation('', AgentState.FINISHED)],
-            },
-        ]
+    def __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(id='0.0', state='in_progress'),
+            'observations': [NullObservation('')],
+        }, {
+            'action': AgentThinkAction(thought='Time to get started!'),
+            'observations': [NullObservation('')],
+        }, {
+            'action': CmdRunAction(command='echo "foo"'),
+            'observations': [CmdOutputObservation('foo', command_id=-1, command='echo "foo"')],
+        }, {
+            'action': FileWriteAction(content='echo "Hello, World!"', path='hello.sh'),
+            'observations': [FileWriteObservation('', path='hello.sh')],
+        }, {
+            'action': FileReadAction(path='hello.sh'),
+            'observations': [FileReadObservation('echo "Hello, World!"\n', path='hello.sh')],
+        }, {
+            'action': CmdRunAction(command='bash hello.sh'),
+            'observations': [CmdOutputObservation('Hello, World!', command_id=-1, command='bash hello.sh')],
+        }, {
+            'action': CmdRunAction(command=BACKGROUND_CMD, background=True),
+            'observations': [
+                CmdOutputObservation('Background command started. To stop it, send a `kill` action with id 42', command_id='42', command=BACKGROUND_CMD),  # type: ignore[arg-type]
+                CmdOutputObservation('This is in the background\nThis too\n', command_id='42', command=BACKGROUND_CMD),  # type: ignore[arg-type]
+            ]
+        }, {
+            'action': AgentRecallAction(query='who am I?'),
+            'observations': [
+                AgentRecallObservation('', memories=['I am a computer.']),
+                # CmdOutputObservation('This too\n', command_id='42', command=BACKGROUND_CMD),
+            ],
+        }, {
+            'action': BrowseURLAction(url='https://google.com'),
+            'observations': [
+                # BrowserOutputObservation('<html></html>', url='https://google.com', screenshot=""),
+            ],
+        }, {
+            'action': AgentFinishAction(),
+            'observations': [],
+        }]
 
     def step(self, state: State) -> Action:
-        if state.iteration >= len(self.steps):
-            return AgentFinishAction()
-
-        current_step = self.steps[state.iteration]
-        action = current_step['action']
-
-        # If the action is AddTaskAction or ModifyTaskAction, update the parent ID or task_id
-        if isinstance(action, AddTaskAction):
-            if action.parent == 'None':
-                action.parent = ''  # Root task has no parent
-            elif action.parent == '0':
-                action.parent = state.root_task.id
-            elif action.parent.startswith('0.'):
-                action.parent = f'{state.root_task.id}{action.parent[1:]}'
-        elif isinstance(action, ModifyTaskAction):
-            if action.task_id == '0':
-                action.task_id = state.root_task.id
-            elif action.task_id.startswith('0.'):
-                action.task_id = f'{state.root_task.id}{action.task_id[1:]}'
-            # Ensure the task_id doesn't start with a dot
-            if action.task_id.startswith('.'):
-                action.task_id = action.task_id[1:]
-        elif isinstance(action, (BrowseURLAction, BrowseInteractiveAction)):
-            try:
-                return self.simulate_browser_action(action)
-            except (
-                Exception
-            ):  # This could be a specific exception for browser unavailability
-                return self.handle_browser_unavailable(action)
-
+        time.sleep(0.1)
         if state.iteration > 0:
             prev_step = self.steps[state.iteration - 1]
-
-            if 'observations' in prev_step and prev_step['observations']:
+            if 'observations' in prev_step:
                 expected_observations = prev_step['observations']
-                hist_events = state.history.get_last_events(len(expected_observations))
-
-                if len(hist_events) < len(expected_observations):
-                    print(
-                        f'Warning: Expected {len(expected_observations)} observations, but got {len(hist_events)}'
-                    )
-
-                for i in range(min(len(expected_observations), len(hist_events))):
-                    hist_obs = event_to_dict(hist_events[i])
-                    expected_obs = event_to_dict(expected_observations[i])
-
-                    # Remove dynamic fields for comparison
-                    for obs in [hist_obs, expected_obs]:
-                        obs.pop('id', None)
-                        obs.pop('timestamp', None)
-                        obs.pop('cause', None)
-                        obs.pop('source', None)
-                        if 'extras' in obs:
-                            obs['extras'].pop('command_id', None)
-
+                hist_start = len(state.history) - len(expected_observations)
+                for i in range(len(expected_observations)):
+                    hist_obs = state.history[hist_start + i][1].to_dict()
+                    expected_obs = expected_observations[i].to_dict()
+                    if 'command_id' in hist_obs['extras'] and hist_obs['extras']['command_id'] != -1:
+                        del hist_obs['extras']['command_id']
+                        hist_obs['content'] = ''
+                    if 'command_id' in expected_obs['extras'] and expected_obs['extras']['command_id'] != -1:
+                        del expected_obs['extras']['command_id']
+                        expected_obs['content'] = ''
                     if hist_obs != expected_obs:
-                        print(
-                            f'Warning: Observation mismatch. Expected {expected_obs}, got {hist_obs}'
-                        )
+                        print('\nactual', hist_obs)
+                        print('\nexpect', expected_obs)
+                    assert hist_obs == expected_obs, f'Expected observation {expected_obs}, got {hist_obs}'
+        return self.steps[state.iteration]['action']
 
-        return action
-
-    def simulate_browser_action(
-        self, action: Union[BrowseURLAction, BrowseInteractiveAction]
-    ) -> Action:
-        # Instead of simulating, we'll reject the browser action
-        return self.handle_browser_unavailable(action)
-
-    def handle_browser_unavailable(
-        self, action: Union[BrowseURLAction, BrowseInteractiveAction]
-    ) -> Action:
-        # Create a message action to inform that browsing is not available
-        message = 'Browser actions are not available in the DummyAgent environment.'
-        if isinstance(action, BrowseURLAction):
-            message += f' Unable to browse URL: {action.url}'
-        elif isinstance(action, BrowseInteractiveAction):
-            message += (
-                f' Unable to perform interactive browsing: {action.browser_actions}'
-            )
-        return MessageAction(content=message)
+    def search_memory(self, query: str) -> List[str]:
+        return ['I am a computer.']

agenthub/micro/README.md

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

agenthub/micro/_instructions/actions/add_task.md

@@ -0,0 +1,4 @@
+* `add_task` - add a task to your plan. Arguments:
+  * `parent` - the ID of the parent task
+  * `goal` - the goal of the task
+  * `subtasks` - a list of subtasks, each of which is a map with a `goal` key.

agenthub/micro/_instructions/actions/finish.md

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

agenthub/micro/_instructions/actions/kill.md

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

agenthub/micro/_instructions/actions/message.md

@@ -1,3 +0,0 @@
-* `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

agenthub/micro/_instructions/actions/modify_task.md

@@ -0,0 +1,3 @@
+* `modify_task` - close a task. Arguments:
+  * `id` - the ID of the task to close
+  * `state` - set to 'in_progress' to start the task, 'completed' to finish it, 'verified' to assert that it was successful, 'abandoned' to give up on it permanently, or `open` to stop working on it for now.

agenthub/micro/_instructions/actions/reject.md

@@ -1,2 +0,0 @@
-* `reject` - reject the task. Arguments:
-  * `outputs` - a dictionary with only a `reason` attribute

agenthub/micro/_instructions/actions/run.md

@@ -1,2 +1,3 @@
 * `run` - runs a command on the command line in a Linux shell. Arguments:
   * `command` - the command to run
+  * `background` - if true, run the command in the background, so that other commands can be run concurrently. Useful for e.g. starting a server. You won't be able to see the logs. You don't need to end the command with `&`, just set this to true.

agenthub/micro/_instructions/actions/think.md

@@ -0,0 +1,2 @@
+* `think` - make a plan, set a goal, or record your thoughts. Arguments:
+  * `thought` - the thought to record

agenthub/micro/agent.py

@@ -1,61 +1,59 @@
+import json
+from typing import Dict, List
+
 from jinja2 import BaseLoader, Environment
 
-from agenthub.micro.instructions import instructions
-from agenthub.micro.registry import all_microagents
-from openhands.controller.agent import Agent
-from openhands.controller.state.state import State
-from openhands.core.config import AgentConfig
-from openhands.core.message import ImageContent, Message, TextContent
-from openhands.core.utils import json
-from openhands.events.action import Action
-from openhands.events.serialization.action import action_from_dict
-from openhands.events.serialization.event import event_to_memory
-from openhands.llm.llm import LLM
-from openhands.memory.history import ShortTermHistory
+from opendevin.action import Action, action_from_dict
+from opendevin.agent import Agent
+from opendevin.exceptions import LLMOutputError
+from opendevin.llm.llm import LLM
+from opendevin.state import State
+
+from .instructions import instructions
+from .registry import all_microagents
 
 
 def parse_response(orig_response: str) -> Action:
-    # attempt to load the JSON dict from the response
-    action_dict = json.loads(orig_response)
+    json_start = orig_response.find('{')
+    json_end = orig_response.rfind('}') + 1
+    response = orig_response[json_start:json_end]
+    try:
+        action_dict = json.loads(response)
+    except json.JSONDecodeError as e:
+        raise LLMOutputError(
+            'Invalid JSON in response. Please make sure the response is a valid JSON object'
+        ) from e
+    action = action_from_dict(action_dict)
+    return action
 
-    # load the action from the dict
-    return action_from_dict(action_dict)
+
+def my_encoder(obj):
+    """
+    Encodes objects as dictionaries
+
+    Parameters:
+    - obj (Object): An object that will be converted
+
+    Returns:
+    - dict: If the object can be converted it is returned in dict format
+    """
+    if hasattr(obj, 'to_dict'):
+        return obj.to_dict()
 
 
 def to_json(obj, **kwargs):
-    """Serialize an object to str format"""
-    return json.dumps(obj, **kwargs)
+    """
+    Serialize an object to str format
+    """
+    return json.dumps(obj, default=my_encoder, **kwargs)
 
 
 class MicroAgent(Agent):
-    VERSION = '1.0'
     prompt = ''
-    agent_definition: dict = {}
+    agent_definition: Dict = {}
 
-    def history_to_json(
-        self, history: ShortTermHistory, max_events: int = 20, **kwargs
-    ):
-        """
-        Serialize and simplify history to str format
-        """
-        processed_history = []
-        event_count = 0
-
-        for event in history.get_events(reverse=True):
-            if event_count >= max_events:
-                break
-            processed_history.append(
-                event_to_memory(event, self.llm.config.max_message_chars)
-            )
-            event_count += 1
-
-        # history is in reverse order, let's fix it
-        processed_history.reverse()
-
-        return json.dumps(processed_history, **kwargs)
-
-    def __init__(self, llm: LLM, config: AgentConfig):
-        super().__init__(llm, config)
+    def __init__(self, llm: LLM):
+        super().__init__(llm)
         if 'name' not in self.agent_definition:
             raise ValueError('Agent definition must contain a name')
         self.prompt_template = Environment(loader=BaseLoader).from_string(self.prompt)
@@ -63,23 +61,17 @@ class MicroAgent(Agent):
         del self.delegates[self.agent_definition['name']]
 
     def step(self, state: State) -> Action:
-        last_user_message, last_image_urls = state.get_current_user_intent()
         prompt = self.prompt_template.render(
             state=state,
             instructions=instructions,
             to_json=to_json,
-            history_to_json=self.history_to_json,
-            delegates=self.delegates,
-            latest_user_message=last_user_message,
-        )
-        content = [TextContent(text=prompt)]
-        if self.llm.vision_is_active() and last_image_urls:
-            content.append(ImageContent(image_urls=last_image_urls))
-        message = Message(role='user', content=content)
-        resp = self.llm.completion(
-            messages=self.llm.format_messages_for_llm(message),
-            temperature=0.0,
-        )
+            delegates=self.delegates)
+        messages = [{'content': prompt, 'role': 'user'}]
+        resp = self.llm.completion(messages=messages)
         action_resp = resp['choices'][0]['message']['content']
+        state.num_of_chars += len(prompt) + len(action_resp)
         action = parse_response(action_resp)
         return action
+
+    def search_memory(self, query: str) -> List[str]:
+        return []

agenthub/micro/coder/agent.yaml

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

agenthub/micro/coder/prompt.md

@@ -2,7 +2,7 @@
 You are a software engineer. You've inherited an existing codebase, which you
 need to modify to complete this task:
 
-{{ state.inputs.task }}
+{{ state.plan.main_goal }}
 
 {% if state.inputs.summary %}
 Here's a summary of the codebase, as it relates to this task:
@@ -14,14 +14,14 @@ Here's a summary of the codebase, as it relates to this task:
 {{ instructions.actions.run }}
 {{ instructions.actions.write }}
 {{ instructions.actions.read }}
-{{ instructions.actions.message }}
+{{ instructions.actions.think }}
 {{ instructions.actions.finish }}
 
 Do NOT finish until you have completed the tasks.
 
 ## History
 {{ instructions.history_truncated }}
-{{ history_to_json(state.history, max_events=20) }}
+{{ to_json(state.history[-10:]) }}
 
 ## Format
 {{ instructions.format.action }}

agenthub/micro/commit_writer/README.md

@@ -1,25 +0,0 @@
-## Introduction
-
-CommitWriterAgent can help write git commit message. Example:
-
-```bash
-WORKSPACE_MOUNT_PATH="`PWD`" \
-  poetry run python openhands/core/main.py -t "dummy task" -c CommitWriterAgent -d ./
-```
-
-This agent is special in the sense that it doesn't need a task. Once called,
-it attempts to read all diff in the git staging area and write a good commit
-message.
-
-## Future work
-
-### Feedback loop
-
-The commit message could be (optionally) shown to the customer or
-other agents, so that CommitWriterAgent could gather feedback to further
-improve the commit message.
-
-### Task rejection
-
-When the agent cannot compile a commit message (e.g. not git repository), it
-should reject the task with an explanation.

agenthub/micro/commit_writer/agent.yaml

@@ -1,6 +0,0 @@
-name: CommitWriterAgent
-description: "Write a git commit message for files in the git staging area"
-inputs: {}
-outputs:
-  answer: string
-  reason: string

agenthub/micro/commit_writer/prompt.md

@@ -1,33 +0,0 @@
-# Task
-You are a responsible software engineer and always write good commit messages.
-
-Please analyze the diff in the staging area, understand the context and content
-of the updates from the diff only. Identify key elements like:
-- Which files are affected?
-- What types of changes were made (e.g., new features, bug fixes, refactoring, documentation, testing)?
-
-Then you should generate a commit message that succinctly summarizes the staged
-changes. The commit message should include:
-- A summary line that clearly states the purpose of the changes.
-- Optionally, a detailed description if the changes are complex or need further explanation.
-
-You should first use `git status` to check whether it's a valid git repo and there
-is diff in the staging area. If not, please call the `reject` action.
-
-If it is a valid git repo and there is diff in the staging area, you should find
-the diff using `git diff --cached`, compile a commit message, and call the `finish`
-action with `outputs.answer` set to the answer.
-
-## History
-{{ instructions.history_truncated }}
-{{ history_to_json(state.history, max_events=20) }}
-
-If the last item in the history is an error, you should try to fix it.
-
-## Available Actions
-{{ instructions.actions.run }}
-{{ instructions.actions.reject }}
-{{ instructions.actions.finish }}
-
-## Format
-{{ instructions.format.action }}

agenthub/micro/instructions.py

@@ -1,21 +1,19 @@
 import os
+from typing import Dict
 
-instructions: dict = {}
+instructions: Dict = {}
 
 base_dir = os.path.dirname(os.path.abspath(__file__)) + '/_instructions'
 for root, dirs, files in os.walk(base_dir):
     if len(files) == 0:
         continue
-    if root == base_dir:
-        obj = instructions
-    else:
-        rel_base = os.path.relpath(root, base_dir)
-        keys = rel_base.split('/')
-        obj = instructions
-        for key in keys:
-            if key not in obj:
-                obj[key] = {}
-            obj = obj[key]
+    rel_base = os.path.relpath(root, base_dir)
+    keys = rel_base.split('/')
+    obj = instructions
+    for key in keys:
+        if key not in obj:
+            obj[key] = {}
+        obj = obj[key]
     for file in files:
         without_ext = os.path.splitext(file)[0]
         with open(os.path.join(root, file), 'r') as f:

agenthub/micro/manager/agent.yaml

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

agenthub/micro/manager/prompt.md

@@ -1,22 +1,12 @@
 # Task
 You are in charge of accomplishing the following task:
-{{ latest_user_message }}
+{{ state.plan.main_goal }}
 
 In order to accomplish this goal, you must delegate tasks to one or more agents, who
 can do the actual work. A description of each agent is provided below. You MUST
 select one of the delegates below to move towards accomplishing the task, and you MUST
 provide the correct inputs for the delegate you select.
 
-Note: the delegated agent either returns "finish" or "reject".
-- If the action is "finish", but the full task is not done yet, you should
-continue to delegate to one of the agents below to until the full task is finished.
-- If the action is "reject", it means the delegated agent is not capable of the
-task you send to. You should revisit the input you send to the delegate, and consider
-whether any other delegate would be able to solve the task. If you cannot find
-a proper delegate agent, or the delegate attempts keep failing, call the `reject`
-action. In `reason` attribute, make sure you include your attempts (e.g. what agent
-you have delegated to, and why they failed).
-
 ## Agents
 {% for name, details in delegates.items() %}
 ### {{ name }}
@@ -27,15 +17,11 @@ you have delegated to, and why they failed).
 
 ## History
 {{ instructions.history_truncated }}
-{{ history_to_json(state.history, max_events=20) }}
-
-If the last item in the history is an error, you should try to fix it. If you
-cannot fix it, call the `reject` action.
+{{ to_json(state.history[-10:]) }}
 
 ## Available Actions
 {{ instructions.actions.delegate }}
 {{ instructions.actions.finish }}
-{{ instructions.actions.reject }}
 
 ## Format
 {{ instructions.format.action }}

agenthub/micro/math_agent/agent.yaml

@@ -1,5 +1,6 @@
 name: MathAgent
 description: "Solves simple and complex math problems using python"
+generates: Action
 container: python:3.12.3-bookworm
 inputs:
   task: string

agenthub/micro/math_agent/prompt.md

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

agenthub/micro/postgres_agent/agent.yaml

@@ -1,5 +1,6 @@
 name: PostgresAgent
 description: Writes and maintains PostgreSQL migrations
+generates: Action
 inputs:
   task: string
 outputs: {}

agenthub/micro/postgres_agent/prompt.md

@@ -2,7 +2,7 @@
 You are a database engineer. You are working on an existing Postgres project, and have been given
 the following task:
 
-{{ state.inputs.task }}
+{{ state.plan.main_goal }}
 
 You must:
 * Investigate the existing migrations to understand the current schema
@@ -11,14 +11,14 @@ You must:
 
 ## Actions
 You may take any of the following actions:
-{{ instructions.actions.message }}
+{{ instructions.actions.think }}
 {{ instructions.actions.read }}
 {{ instructions.actions.write }}
 {{ instructions.actions.run }}
 
 ## History
 {{ instructions.history_truncated }}
-{{ history_to_json(state.history, max_events=20) }}
+{{ to_json(state.history[-10:]) }}
 
 ## Format
 {{ instructions.format.action }}

agenthub/micro/registry.py

@@ -4,10 +4,7 @@ import yaml
 
 all_microagents = {}
 
-# Get the list of directories and sort them to preserve determinism
-dirs = sorted(os.listdir(os.path.dirname(__file__)))
-
-for dir in dirs:
+for dir in os.listdir(os.path.dirname(__file__)):
     base = os.path.dirname(__file__) + '/' + dir
     if os.path.isfile(base):
         continue
@@ -16,7 +13,8 @@ for dir in dirs:
     promptFile = base + '/prompt.md'
     agentFile = base + '/agent.yaml'
     if not os.path.isfile(promptFile) or not os.path.isfile(agentFile):
-        raise Exception(f'Missing prompt or agent file in {base}. Please create them.')
+        raise Exception(
+            f'Missing prompt or agent file in {base}. Please create them.')
     with open(promptFile, 'r') as f:
         prompt = f.read()
     with open(agentFile, 'r') as f:

agenthub/micro/repo_explorer/prompt.md

@@ -10,7 +10,7 @@ of the codebase, including:
 ## Available Actions
 {{ instructions.actions.run }}
 {{ instructions.actions.read }}
-{{ instructions.actions.message }}
+{{ instructions.actions.think }}
 {{ instructions.actions.finish }}
 
 You should ONLY `run` commands that have no side-effects, like `ls` and `grep`.
@@ -20,7 +20,7 @@ When you're done, put your summary into the output of the `finish` action.
 
 ## History
 {{ instructions.history_truncated }}
-{{ history_to_json(state.history, max_events=20) }}
+{{ to_json(state.history[-10:]) }}
 
 ## Format
 {{ instructions.format.action }}

agenthub/micro/study_repo_for_task/prompt.md

@@ -1,62 +1,25 @@
 # Task
-You are a software architect. Your team has inherited an existing codebase, and
-need to finish a project:
+You are a software engineer. You've inherited an existing codebase, which you're
+learning about for the first time. You need to study the codebase to find all
+the information needed to complete this task:
 
-{{ state.inputs.task }}
-
-As an architect, you need to study the codebase to find all the information that
-might be helpful for your software engineering team.
+{{ state.plan.main_goal }}
 
 ## Available Actions
 {{ instructions.actions.run }}
 {{ instructions.actions.read }}
-{{ instructions.actions.message }}
+{{ instructions.actions.think }}
 {{ instructions.actions.finish }}
 
-You must ONLY `run` commands that have no side-effects, like `ls` and `grep`. You
-MUST NOT modify or write to any file.
+You must ONLY `run` commands that have no side-effects, like `ls` and `grep`.
 
 Do NOT finish until you have a complete understanding of which parts of the
-codebase are relevant to the project, including particular files, functions, and classes.
+codebase are relevant to the task, including particular files, function, functions, and classes.
 When you're done, put your summary in `outputs.summary` in the `finish` action.
-Remember, your task is to explore and study the current repository, not actually
-implement the solution. If the codebase is empty, you should call the `finish` action.
 
 ## History
 {{ instructions.history_truncated }}
-{{ history_to_json(state.history, max_events=20) }}
+{{ to_json(state.history[-10:]) }}
 
 ## Format
 {{ instructions.format.action }}
-
-## Examples
-
-Here is an example of how you can interact with the environment for task solving:
-
---- START OF EXAMPLE ---
-
-USER: Can you create a list of numbers from 1 to 10, and create a web page to display them at port 5000?
-
-ASSISTANT:
-{
-  "action": "run",
-  "args": {
-    "command": "ls"
-  }
-}
-
-USER:
-OBSERVATION:
-[]
-
-ASSISTANT:
-{
-  "action": "finish",
-  "args": {
-    "outputs": {
-      "summary": "The codebase appears to be empty. Engineers should start everything from scratch."
-    }
-  }
-}
-
---- END OF EXAMPLE ---

agenthub/micro/typo_fixer_agent/agent.yaml

@@ -1,6 +0,0 @@
-name: TypoFixerAgent
-description: Fixes typos in files in the current working directory
-inputs:
-  task: string
-outputs:
-  summary: string

agenthub/micro/typo_fixer_agent/prompt.md

@@ -1,54 +0,0 @@
-# Task
-You are a proofreader tasked with fixing typos in the files in your current working directory.
-
-{% if state.inputs.task %}
-Specifically, your task is:
-{{ state.inputs.task }}
-{% endif %}
-
-To achieve this goal, you should:
-
-1. Scan the files for typos
-2. Overwrite the files with the typos fixed
-3. Provide a summary of the typos fixed
-
-## Available Actions
-{{ instructions.actions.read }}
-{{ instructions.actions.write }}
-{{ instructions.actions.run }}
-{{ instructions.actions.message }}
-{{ instructions.actions.finish }}
-
-To complete this task:
-1. Use the `read` action to read the contents of the files in your current working directory. Make sure to provide the file path in the format `'./file_name.ext'`.
-2. Use the `message` action to analyze the contents and identify typos.
-3. Use the `write` action to create new versions of the files with the typos fixed.
-  - Overwrite the original files with the corrected content. Make sure to provide the file path in the format `'./file_name.ext'`.
-4. Use the `message` action to generate a summary of the typos fixed, including the original and fixed versions of each typo, and the file(s) they were found in.
-5. Use the `finish` action to return the summary in the `outputs.summary` field.
-
-Do NOT finish until you have fixed all the typos and generated a summary.
-
-## History
-{{ instructions.history_truncated }}
-{{ history_to_json(state.history, max_events=10) }}
-
-## Format
-{{ instructions.format.action }}
-
-For example, if you want to use the read action to read the contents of a file named example.txt, your response should look like this:
-{
-  "action": "read",
-  "args": {
-    "path": "./example.txt"
-  }
-}
-
-Similarly, if you want to use the write action to write content to a file named output.txt, your response should look like this:
-{
-  "action": "write",
-  "args": {
-    "path": "./output.txt",
-    "content": "This is the content to be written to the file."
-  }
-}

agenthub/micro/verifier/prompt.md

@@ -2,15 +2,14 @@
 You are a quality assurance engineer. Another engineer has made changes to the
 codebase which are supposed to solve this task:
 
-{{ state.inputs.task }}
+{{ state.plan.main_goal }}
 
-Note the changes might have already been applied in-line. You should focus on
-validating if the task is solved, nothing else.
+Your goal is to verify that the changes are correct and bug-free.
 
 ## Available Actions
 {{ instructions.actions.run }}
 {{ instructions.actions.read }}
-{{ instructions.actions.message }}
+{{ instructions.actions.think }}
 {{ instructions.actions.finish }}
 
 You must ONLY `run` commands that have no side-effects, like `ls`, `grep`, and test scripts.
@@ -22,7 +21,7 @@ explaining what the problem is.
 
 ## History
 {{ instructions.history_truncated }}
-{{ history_to_json(state.history, max_events=20) }}
+{{ to_json(state.history[-10:]) }}
 
 ## Format
 {{ instructions.format.action }}

agenthub/monologue_agent/.dockerignore

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

agenthub/monologue_agent/README.md

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

agenthub/monologue_agent/TODO.md

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

agenthub/monologue_agent/__init__.py

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

agenthub/monologue_agent/agent.py

@@ -0,0 +1,265 @@
+from typing import List
+
+import agenthub.monologue_agent.utils.prompts as prompts
+from agenthub.monologue_agent.utils.monologue import Monologue
+from opendevin import config
+from opendevin.action import (
+    Action,
+    AgentRecallAction,
+    AgentThinkAction,
+    BrowseURLAction,
+    CmdRunAction,
+    FileReadAction,
+    FileWriteAction,
+    GitHubPushAction,
+    NullAction,
+)
+from opendevin.agent import Agent
+from opendevin.exceptions import AgentNoInstructionError
+from opendevin.llm.llm import LLM
+from opendevin.observation import (
+    AgentRecallObservation,
+    BrowserOutputObservation,
+    CmdOutputObservation,
+    FileReadObservation,
+    NullObservation,
+    Observation,
+)
+from opendevin.schema import ActionType
+from opendevin.schema.config import ConfigType
+from opendevin.state import State
+
+if config.get(ConfigType.AGENT_MEMORY_ENABLED):
+    from agenthub.monologue_agent.utils.memory import LongTermMemory
+
+MAX_MONOLOGUE_LENGTH = 20000
+MAX_OUTPUT_LENGTH = 5000
+
+INITIAL_THOUGHTS = [
+    'I exist!',
+    'Hmm...looks like I can type in a command line prompt',
+    'Looks like I have a web browser too!',
+    "Here's what I want to do: $TASK",
+    'How am I going to get there though?',
+    'It seems like I have some kind of short term memory.',
+    'Each of my thoughts seems to be stored in a JSON array.',
+    'It seems whatever I say next will be added as an object to the list.',
+    'But no one has perfect short-term memory. My list of thoughts will be summarized and condensed over time, losing information in the process.',
+    'Fortunately I have long term memory!',
+    'I can just perform a recall action, followed by the thing I want to remember. And then related thoughts just spill out!',
+    "Sometimes they're random thoughts that don't really have to do with what I wanted to remember. But usually they're exactly what I need!",
+    "Let's try it out!",
+    'RECALL what it is I want to do',
+    "Here's what I want to do: $TASK",
+    'How am I going to get there though?',
+    "Neat! And it looks like it's easy for me to use the command line too! I just have to perform a run action and include the command I want to run in the command argument. The command output just jumps into my head!",
+    'RUN echo "hello world"',
+    'hello world',
+    'Cool! I bet I can write files too using the write action.',
+    "WRITE echo \"console.log('hello world')\" > test.js",
+    '',
+    "I just created test.js. I'll try and run it now.",
+    'RUN node test.js',
+    'hello world',
+    'It works!',
+    "I'm going to try reading it now using the read action.",
+    'READ test.js',
+    "console.log('hello world')",
+    'Nice! I can read files too!',
+    'And if I want to use the browser, I just need to use the browse action and include the url I want to visit in the url argument',
+    "Let's try that...",
+    'BROWSE google.com',
+    '<form><input type="text"></input><button type="submit"></button></form>',
+    'I can browse the web too!',
+    'If I have done some work and I want to push it to github, I can do that also!',
+    "Let's do it.",
+    'PUSH owner/repo branch',
+    'The repo was successfully pushed to https://github.com/owner/repo/branch',
+    'And once I have completed my task, I can use the finish action to stop working.',
+    "But I should only use the finish action when I'm absolutely certain that I've completed my task and have tested my work.",
+    'Very cool. Now to accomplish my task.',
+    "I'll need a strategy. And as I make progress, I'll need to keep refining that strategy. I'll need to set goals, and break them into sub-goals.",
+    'In between actions, I must always take some time to think, strategize, and set new goals. I should never take two actions in a row.',
+    "OK so my task is to $TASK. I haven't made any progress yet. Where should I start?",
+    'It seems like there might be an existing project here. I should probably start by running `pwd` and `ls` to orient myself.',
+]
+
+
+class MonologueAgent(Agent):
+    """
+    The Monologue Agent utilizes long and short term memory to complete tasks.
+    Long term memory is stored as a LongTermMemory object and the model uses it to search for examples from the past.
+    Short term memory is stored as a Monologue object and the model can condense it as necessary.
+    """
+
+    _initialized = False
+    monologue: Monologue
+    memory: 'LongTermMemory | None'
+
+    def __init__(self, llm: LLM):
+        """
+        Initializes the Monologue Agent with an llm, monologue, and memory.
+
+        Parameters:
+        - llm (LLM): The llm to be used by this agent
+        """
+        super().__init__(llm)
+
+    def _add_event(self, event: dict):
+        """
+        Adds a new event to the agent's monologue and memory.
+        Monologue automatically condenses when it gets too large.
+
+        Parameters:
+        - event (dict): The event that will be added to monologue and memory
+        """
+
+        if 'extras' in event and 'screenshot' in event['extras']:
+            del event['extras']['screenshot']
+        if (
+            'args' in event
+            and 'output' in event['args']
+            and len(event['args']['output']) > MAX_OUTPUT_LENGTH
+        ):
+            event['args']['output'] = (
+                event['args']['output'][:MAX_OUTPUT_LENGTH] + '...'
+            )
+
+        self.monologue.add_event(event)
+        if self.memory is not None:
+            self.memory.add_event(event)
+        if self.monologue.get_total_length() > MAX_MONOLOGUE_LENGTH:
+            self.monologue.condense(self.llm)
+
+    def _initialize(self, task: str):
+        """
+        Utilizes the INITIAL_THOUGHTS list to give the agent a context for it's capabilities
+        and how to navigate the WORKSPACE_MOUNT_PATH_IN_SANDBOX in `config` (e.g., /workspace by default).
+        Short circuited to return when already initialized.
+        Will execute again when called after reset.
+
+        Parameters:
+        - task (str): The initial goal statement provided by the user
+
+        Raises:
+        - AgentNoInstructionError: If task is not provided
+        """
+
+        if self._initialized:
+            return
+
+        if task is None or task == '':
+            raise AgentNoInstructionError()
+
+        self.monologue = Monologue()
+        if config.get(ConfigType.AGENT_MEMORY_ENABLED):
+            self.memory = LongTermMemory()
+        else:
+            self.memory = None
+
+        self._add_initial_thoughts(task)
+        self._initialized = True
+
+    def _add_initial_thoughts(self, task):
+        previous_action = ''
+        for thought in INITIAL_THOUGHTS:
+            thought = thought.replace('$TASK', task)
+            if previous_action != '':
+                observation: Observation = NullObservation(content='')
+                if previous_action in {ActionType.RUN, ActionType.PUSH}:
+                    observation = CmdOutputObservation(
+                        content=thought, command_id=0, command=''
+                    )
+                elif previous_action == ActionType.READ:
+                    observation = FileReadObservation(content=thought, path='')
+                elif previous_action == ActionType.RECALL:
+                    observation = AgentRecallObservation(
+                        content=thought, memories=[])
+                elif previous_action == ActionType.BROWSE:
+                    observation = BrowserOutputObservation(
+                        content=thought, url='', screenshot=''
+                    )
+                self._add_event(observation.to_memory())
+                previous_action = ''
+            else:
+                action: Action = NullAction()
+                if thought.startswith('RUN'):
+                    command = thought.split('RUN ')[1]
+                    action = CmdRunAction(command)
+                    previous_action = ActionType.RUN
+                elif thought.startswith('WRITE'):
+                    parts = thought.split('WRITE ')[1].split(' > ')
+                    path = parts[1]
+                    content = parts[0]
+                    action = FileWriteAction(path=path, content=content)
+                elif thought.startswith('READ'):
+                    path = thought.split('READ ')[1]
+                    action = FileReadAction(path=path)
+                    previous_action = ActionType.READ
+                elif thought.startswith('RECALL'):
+                    query = thought.split('RECALL ')[1]
+                    action = AgentRecallAction(query=query)
+                    previous_action = ActionType.RECALL
+                elif thought.startswith('BROWSE'):
+                    url = thought.split('BROWSE ')[1]
+                    action = BrowseURLAction(url=url)
+                    previous_action = ActionType.BROWSE
+                elif thought.startswith('PUSH'):
+                    owner_repo, branch = thought.split('PUSH ')[1].split(' ')
+                    owner, repo = owner_repo.split('/')
+                    action = GitHubPushAction(owner=owner, repo=repo, branch=branch)
+                    previous_action = ActionType.PUSH
+                else:
+                    action = AgentThinkAction(thought=thought)
+                self._add_event(action.to_memory())
+
+    def step(self, state: State) -> Action:
+        """
+        Modifies the current state by adding the most recent actions and observations, then prompts the model to think about it's next action to take using monologue, memory, and hint.
+
+        Parameters:
+        - state (State): The current state based on previous steps taken
+
+        Returns:
+        - Action: The next action to take based on LLM response
+        """
+        self._initialize(state.plan.main_goal)
+        for prev_action, obs in state.updated_info:
+            self._add_event(prev_action.to_memory())
+            self._add_event(obs.to_memory())
+
+        state.updated_info = []
+
+        prompt = prompts.get_request_action_prompt(
+            state.plan.main_goal,
+            self.monologue.get_thoughts(),
+            state.background_commands_obs,
+        )
+        messages = [{'content': prompt, 'role': 'user'}]
+        resp = self.llm.completion(messages=messages)
+        action_resp = resp['choices'][0]['message']['content']
+        state.num_of_chars += len(prompt) + len(action_resp)
+        action = prompts.parse_action_response(action_resp)
+        self.latest_action = action
+        return action
+
+    def search_memory(self, query: str) -> List[str]:
+        """
+        Uses VectorIndexRetriever to find related memories within the long term memory.
+        Uses search to produce top 10 results.
+
+        Parameters:
+        - query (str): The query that we want to find related memories for
+
+        Returns:
+        - List[str]: A list of top 10 text results that matched the query
+        """
+        if self.memory is None:
+            return []
+        return self.memory.search(query)
+
+    def reset(self) -> None:
+        super().reset()
+
+        # Reset the initial monologue and memory
+        self._initialized = False

agenthub/monologue_agent/utils/json.py

@@ -0,0 +1,38 @@
+import json
+
+from json_repair import repair_json
+
+
+def my_encoder(obj):
+    """
+    Encodes objects as dictionaries
+
+    Parameters:
+    - obj (Object): An object that will be converted
+
+    Returns:
+    - dict: If the object can be converted it is returned in dict format
+    """
+    if hasattr(obj, 'to_dict'):
+        return obj.to_dict()
+
+
+def dumps(obj, **kwargs):
+    """
+    Serialize an object to str format
+    """
+
+    return json.dumps(obj, default=my_encoder, **kwargs)
+
+
+def loads(s, **kwargs):
+    """
+    Create a JSON object from str
+    """
+    json_start = s.find('{')
+    json_end = s.rfind('}') + 1
+    if json_start == -1 or json_end == -1:
+        raise ValueError('Invalid response: no JSON found')
+    s = s[json_start:json_end]
+    s = repair_json(s)
+    return json.loads(s, **kwargs)

agenthub/monologue_agent/utils/memory.py

@@ -0,0 +1,166 @@
+import threading
+
+import chromadb
+import llama_index.embeddings.openai.base as llama_openai
+from llama_index.core import Document, VectorStoreIndex
+from llama_index.core.retrievers import VectorIndexRetriever
+from llama_index.vector_stores.chroma import ChromaVectorStore
+from openai._exceptions import APIConnectionError, InternalServerError, RateLimitError
+from tenacity import (
+    retry,
+    retry_if_exception_type,
+    stop_after_attempt,
+    wait_random_exponential,
+)
+
+from opendevin import config
+from opendevin.logger import opendevin_logger as logger
+from opendevin.schema.config import ConfigType
+
+from . import json
+
+num_retries = config.get(ConfigType.LLM_NUM_RETRIES)
+retry_min_wait = config.get(ConfigType.LLM_RETRY_MIN_WAIT)
+retry_max_wait = config.get(ConfigType.LLM_RETRY_MAX_WAIT)
+
+# llama-index includes a retry decorator around openai.get_embeddings() function
+# it is initialized with hard-coded values and errors
+# this non-customizable behavior is creating issues when it's retrying faster than providers' rate limits
+# this block attempts to banish it and replace it with our decorator, to allow users to set their own limits
+
+if hasattr(llama_openai.get_embeddings, '__wrapped__'):
+    original_get_embeddings = llama_openai.get_embeddings.__wrapped__
+else:
+    logger.warning('Cannot set custom retry limits.')  # warn
+    num_retries = 1
+    original_get_embeddings = llama_openai.get_embeddings
+
+
+def attempt_on_error(retry_state):
+    logger.error(f'{retry_state.outcome.exception()}. Attempt #{retry_state.attempt_number} | You can customize these settings in the configuration.', exc_info=False)
+    return True
+
+
+@retry(reraise=True,
+       stop=stop_after_attempt(num_retries),
+       wait=wait_random_exponential(min=retry_min_wait, max=retry_max_wait),
+       retry=retry_if_exception_type((RateLimitError, APIConnectionError, InternalServerError)),
+       after=attempt_on_error)
+def wrapper_get_embeddings(*args, **kwargs):
+    return original_get_embeddings(*args, **kwargs)
+
+
+llama_openai.get_embeddings = wrapper_get_embeddings
+
+embedding_strategy = config.get(ConfigType.LLM_EMBEDDING_MODEL)
+
+# TODO: More embeddings: https://docs.llamaindex.ai/en/stable/examples/embeddings/OpenAI/
+# There's probably a more programmatic way to do this.
+supported_ollama_embed_models = ['llama2', 'mxbai-embed-large', 'nomic-embed-text', 'all-minilm', 'stable-code']
+if embedding_strategy in supported_ollama_embed_models:
+    from llama_index.embeddings.ollama import OllamaEmbedding
+    embed_model = OllamaEmbedding(
+        model_name=embedding_strategy,
+        base_url=config.get(ConfigType.LLM_EMBEDDING_BASE_URL, required=True),
+        ollama_additional_kwargs={'mirostat': 0},
+    )
+elif embedding_strategy == 'openai':
+    from llama_index.embeddings.openai import OpenAIEmbedding
+    embed_model = OpenAIEmbedding(
+        model='text-embedding-ada-002',
+        api_key=config.get(ConfigType.LLM_API_KEY, required=True)
+    )
+elif embedding_strategy == 'azureopenai':
+    # Need to instruct to set these env variables in documentation
+    from llama_index.embeddings.azure_openai import AzureOpenAIEmbedding
+    embed_model = AzureOpenAIEmbedding(
+        model='text-embedding-ada-002',
+        deployment_name=config.get(ConfigType.LLM_EMBEDDING_DEPLOYMENT_NAME, required=True),
+        api_key=config.get(ConfigType.LLM_API_KEY, required=True),
+        azure_endpoint=config.get(ConfigType.LLM_BASE_URL, required=True),
+        api_version=config.get(ConfigType.LLM_API_VERSION, required=True),
+    )
+elif (embedding_strategy is not None) and (embedding_strategy.lower() == 'none'):
+    # TODO: this works but is not elegant enough. The incentive is when
+    # monologue agent is not used, there is no reason we need to initialize an
+    # embedding model
+    embed_model = None
+else:
+    from llama_index.embeddings.huggingface import HuggingFaceEmbedding
+    embed_model = HuggingFaceEmbedding(
+        model_name='BAAI/bge-small-en-v1.5'
+    )
+
+
+sema = threading.Semaphore(value=config.get(ConfigType.AGENT_MEMORY_MAX_THREADS))
+
+
+class LongTermMemory:
+    """
+    Responsible for storing information that the agent can call on later for better insights and context.
+    Uses chromadb to store and search through memories.
+    """
+
+    def __init__(self):
+        """
+        Initialize the chromadb and set up ChromaVectorStore for later use.
+        """
+        db = chromadb.Client()
+        self.collection = db.get_or_create_collection(name='memories')
+        vector_store = ChromaVectorStore(chroma_collection=self.collection)
+        self.index = VectorStoreIndex.from_vector_store(
+            vector_store, embed_model=embed_model)
+        self.thought_idx = 0
+        self._add_threads = []
+
+    def add_event(self, event: dict):
+        """
+        Adds a new event to the long term memory with a unique id.
+
+        Parameters:
+        - event (dict): The new event to be added to memory
+        """
+        id = ''
+        t = ''
+        if 'action' in event:
+            t = 'action'
+            id = event['action']
+        elif 'observation' in event:
+            t = 'observation'
+            id = event['observation']
+        doc = Document(
+            text=json.dumps(event),
+            doc_id=str(self.thought_idx),
+            extra_info={
+                'type': t,
+                'id': id,
+                'idx': self.thought_idx,
+            },
+        )
+        self.thought_idx += 1
+        logger.debug('Adding %s event to memory: %d', t, self.thought_idx)
+        thread = threading.Thread(target=self._add_doc, args=(doc,))
+        self._add_threads.append(thread)
+        thread.start()  # We add the doc concurrently so we don't have to wait ~500ms for the insert
+
+    def _add_doc(self, doc):
+        with sema:
+            self.index.insert(doc)
+
+    def search(self, query: str, k: int = 10):
+        """
+        Searches through the current memory using VectorIndexRetriever
+
+        Parameters:
+        - query (str): A query to match search results to
+        - k (int): Number of top results to return
+
+        Returns:
+        - List[str]: List of top k results found in current memory
+        """
+        retriever = VectorIndexRetriever(
+            index=self.index,
+            similarity_top_k=k,
+        )
+        results = retriever.retrieve(query)
+        return [r.get_text() for r in results]