refactor(vscode): standardize /api/vscode/instances to return a list; align runtime and tests

- Server route already returns a list[VSCodeInstanceInfo]
- VsCodeRuntime now expects a list and validates shape
- Updated tests to mock list responses consistently

Co-authored-by: OpenHands-GPT-5 <openhands@all-hands.dev>

.github/workflows/e2e-tests.yml

@@ -22,7 +22,7 @@ jobs:
         uses: actions/checkout@v4
 
       - name: Install poetry via pipx
-        uses: abatilo/actions-poetry@v4
+        uses: abatilo/actions-poetry@v3
         with:
           poetry-version: 2.1.3
 
@@ -183,11 +183,7 @@ jobs:
 
           # Run the tests with detailed output
           cd tests/e2e
-          poetry run python -m pytest \
-            test_settings.py::test_github_token_configuration \
-            test_conversation.py::test_conversation_start \
-            test_browsing_catchphrase.py::test_browsing_catchphrase \
-            -v --no-header --capture=no --timeout=900
+          poetry run python -m pytest test_e2e_workflow.py::test_github_token_configuration test_e2e_workflow.py::test_conversation_start -v --no-header --capture=no --timeout=600
 
       - name: Upload test results
         if: always()

.github/workflows/lint-fix.yml

@@ -29,12 +29,6 @@ jobs:
         run: |
           cd frontend
           npm install --frozen-lockfile
-      - name: Generate i18n and route types
-        run: |
-          cd frontend
-          npm run make-i18n
-          npx react-router typegen || true
-
       - name: Fix frontend lint issues
         run: |
           cd frontend
@@ -51,7 +45,7 @@ jobs:
           git config --local user.email "openhands@all-hands.dev"
           git config --local user.name "OpenHands Bot"
           git add -A
-          git commit -m "🤖 Auto-fix frontend linting issues" --no-verify
+          git commit -m "🤖 Auto-fix frontend linting issues"
           git push
 
   # Python lint fixes
@@ -93,5 +87,5 @@ jobs:
           git config --local user.email "openhands@all-hands.dev"
           git config --local user.name "OpenHands Bot"
           git add -A
-          git commit -m "🤖 Auto-fix Python linting issues" --no-verify
+          git commit -m "🤖 Auto-fix Python linting issues"
           git push

.github/workflows/py-tests.yml

@@ -73,7 +73,7 @@ jobs:
       - name: Install Python dependencies using Poetry
         run: poetry install --with dev,test,runtime
       - name: Run Windows unit tests
-        run: poetry run pytest -svv tests/unit/runtime/utils/test_windows_bash.py
+        run: poetry run pytest -svv tests/unit/test_windows_bash.py
         env:
           PYTHONPATH: ".;$env:PYTHONPATH"
           DEBUG: "1"

.github/workflows/welcome-good-first-issue.yml

@@ -1,50 +0,0 @@
-name: Welcome Good First Issue
-
-on:
-  issues:
-    types: [labeled]
-
-permissions:
-  issues: write
-
-jobs:
-  comment-on-good-first-issue:
-    if: github.event.label.name == 'good first issue'
-    runs-on: ubuntu-latest
-    steps:
-      - name: Check if welcome comment already exists
-        id: check_comment
-        uses: actions/github-script@v7
-        with:
-          result-encoding: string
-          script: |
-            const issueNumber = context.issue.number;
-            const comments = await github.rest.issues.listComments({
-              ...context.repo,
-              issue_number: issueNumber
-            });
-
-            const alreadyCommented = comments.data.some(
-              (comment) =>
-                comment.body.includes('<!-- auto-comment:good-first-issue -->')
-            );
-
-            return alreadyCommented ? 'true' : 'false';
-
-      - name: Leave welcome comment
-        if: steps.check_comment.outputs.result == 'false'
-        uses: actions/github-script@v7
-        with:
-          script: |
-            const repoUrl = `https://github.com/${context.repo.owner}/${context.repo.repo}`;
-
-            await github.rest.issues.createComment({
-              ...context.repo,
-              issue_number: context.issue.number,
-              body: "🙌 **Hey there, future contributor!** 🙌\n\n" +
-                    "This issue has been labeled as **good first issue**, which means it's a great place to get started with the OpenHands project.\n\n" +
-                    "If you're interested in working on it, feel free to! No need to ask for permission.\n\n" +
-                    "Be sure to check out our [development setup guide](" + repoUrl + "/blob/main/Development.md) to get your environment set up, and follow our [contribution guidelines](" + repoUrl + "/blob/main/CONTRIBUTING.md) when you're ready to submit a fix.\n\n" +
-                    "🙌 Happy hacking! 🙌\n\n" +
-                    "<!-- auto-comment:good-first-issue -->"
-            });

.gitignore

@@ -255,7 +255,10 @@ containers/runtime/project.tar.gz
 containers/runtime/code
 **/node_modules/
 
+# VSCode extension test files
+openhands/integrations/vscode/.vscode-test/
+openhands/integrations/vscode/out/
+openhands/integrations/vscode/node_modules/
+
 # test results
 test-results
-.sessions
-.eval_sessions

.openhands/microagents/repo.md

@@ -87,8 +87,6 @@ VSCode Extension:
 
 If you are starting a pull request (PR), please follow the template in `.github/pull_request_template.md`.
 
-If you need to add labels when opening a PR, check the existing labels defined on that repository and select from existing ones. Do not invent your own labels.
-
 ## Implementation Details
 
 These details may or may not be useful for your current task.
@@ -144,35 +142,6 @@ Your specialized knowledge and instructions here...
      - Add the setting to the `Settings` model in `openhands/storage/data_models/settings.py`
      - Update any relevant backend code to apply the setting (e.g., in session creation)
 
-#### Settings UI Patterns:
-
-There are two main patterns for saving settings in the OpenHands frontend:
-
-**Pattern 1: Entity-based Resources (Immediate Save)**
-- Used for: API Keys, Secrets, MCP Servers
-- Behavior: Changes are saved immediately when user performs actions (add/edit/delete)
-- Implementation:
-  - No "Save Changes" button
-  - No local state management or `isDirty` tracking
-  - Uses dedicated mutation hooks for each operation (e.g., `use-add-mcp-server.ts`, `use-delete-mcp-server.ts`)
-  - Each mutation triggers immediate API call with query invalidation for UI updates
-  - Example: MCP settings, API Keys & Secrets tabs
-- Benefits: Simpler UX, no risk of losing changes, consistent with modern web app patterns
-
-**Pattern 2: Form-based Settings (Manual Save)**
-- Used for: Application settings, LLM configuration
-- Behavior: Changes are accumulated locally and saved when user clicks "Save Changes"
-- Implementation:
-  - Has "Save Changes" button that becomes enabled when changes are detected
-  - Uses local state management with `isDirty` tracking
-  - Uses `useSaveSettings` hook to save all changes at once
-  - Example: LLM tab, Application tab
-- Benefits: Allows bulk changes, explicit save action, can validate all fields before saving
-
-**When to use each pattern:**
-- Use Pattern 1 (Immediate Save) for entity management where each item is independent
-- Use Pattern 2 (Manual Save) for configuration forms where settings are interdependent or need validation
-
 ### Adding New LLM Models
 
 To add a new LLM model to OpenHands, you need to update multiple files across both frontend and backend:

.vscode/settings.json

@@ -3,4 +3,9 @@
     "files.eol": "\n",
     "files.trimTrailingWhitespace": true,
     "files.insertFinalNewline": true,
+    "python.testing.pytestArgs": [
+        "tests"
+    ],
+    "python.testing.unittestEnabled": false,
+    "python.testing.pytestEnabled": true,
 }

Development.md

@@ -159,7 +159,7 @@ poetry run pytest ./tests/unit/test_*.py
 To reduce build time (e.g., if no changes were made to the client-runtime component), you can use an existing Docker
 container image by setting the SANDBOX_RUNTIME_CONTAINER_IMAGE environment variable to the desired Docker image.
 
-Example: `export SANDBOX_RUNTIME_CONTAINER_IMAGE=ghcr.io/all-hands-ai/runtime:0.54-nikolaik`
+Example: `export SANDBOX_RUNTIME_CONTAINER_IMAGE=ghcr.io/all-hands-ai/runtime:0.53-nikolaik`
 
 ## Develop inside Docker container
 

README.md

@@ -79,17 +79,17 @@ You'll find OpenHands running at [http://localhost:3000](http://localhost:3000)
 You can also run OpenHands directly with Docker:
 
 ```bash
-docker pull docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik
+docker pull docker.all-hands.dev/all-hands-ai/runtime:0.53-nikolaik
 
 docker run -it --rm --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.53-nikolaik \
     -e LOG_ALL_EVENTS=true \
     -v /var/run/docker.sock:/var/run/docker.sock \
     -v ~/.openhands:/.openhands \
     -p 3000:3000 \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app \
-    docker.all-hands.dev/all-hands-ai/openhands:0.54
+    docker.all-hands.dev/all-hands-ai/openhands:0.53
 ```
 
 </details>

README_CN.md

@@ -51,17 +51,17 @@ OpenHands也可以使用Docker在本地系统上运行。
 
 
 ```bash
-docker pull docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik
+docker pull docker.all-hands.dev/all-hands-ai/runtime:0.53-nikolaik
 
 docker run -it --rm --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.53-nikolaik \
     -e LOG_ALL_EVENTS=true \
     -v /var/run/docker.sock:/var/run/docker.sock \
     -v ~/.openhands:/.openhands \
     -p 3000:3000 \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app \
-    docker.all-hands.dev/all-hands-ai/openhands:0.54
+    docker.all-hands.dev/all-hands-ai/openhands:0.53
 ```
 
 > **注意**: 如果您在0.44版本之前使用过OpenHands，您可能需要运行 `mv ~/.openhands-state ~/.openhands` 来将对话历史迁移到新位置。

README_JA.md

@@ -42,17 +42,17 @@ OpenHandsはDockerを利用してローカル環境でも実行できます。
 > 公共ネットワークで実行していますか？[Hardened Docker Installation Guide](https://docs.all-hands.dev/usage/runtimes/docker#hardened-docker-installation)を参照して、ネットワークバインディングの制限や追加のセキュリティ対策を実施してください。
 
 ```bash
-docker pull docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik
+docker pull docker.all-hands.dev/all-hands-ai/runtime:0.53-nikolaik
 
 docker run -it --rm --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.53-nikolaik \
     -e LOG_ALL_EVENTS=true \
     -v /var/run/docker.sock:/var/run/docker.sock \
     -v ~/.openhands:/.openhands \
     -p 3000:3000 \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app \
-    docker.all-hands.dev/all-hands-ai/openhands:0.54
+    docker.all-hands.dev/all-hands-ai/openhands:0.53
 ```
 
 **注**: バージョン0.44以前のOpenHandsを使用していた場合は、会話履歴を移行するために `mv ~/.openhands-state ~/.openhands` を実行してください。

config.template.toml

@@ -363,11 +363,10 @@ classpath = "my_package.my_module.MyCustomAgent"
 #confirmation_mode = false
 
 # The security analyzer to use (For Headless / CLI only -  In Web this is overridden by Session Init)
-# Available options: 'llm' (default), 'invariant'
-#security_analyzer = "llm"
+#security_analyzer = ""
 
 # Whether to enable security analyzer
-#enable_security_analyzer = true
+#enable_security_analyzer = false
 
 #################################### Condenser #################################
 # Condensers control how conversation history is managed and compressed when

containers/app/Dockerfile

@@ -21,7 +21,7 @@ ENV POETRY_NO_INTERACTION=1 \
     POETRY_CACHE_DIR=/tmp/poetry_cache
 
 RUN apt-get update -y \
-    && apt-get install -y curl make git build-essential jq gettext \
+    && apt-get install -y curl make git build-essential \
     && python3 -m pip install poetry --break-system-packages
 
 COPY pyproject.toml poetry.lock ./

containers/dev/compose.yml

@@ -12,7 +12,7 @@ services:
       - SANDBOX_API_HOSTNAME=host.docker.internal
       - DOCKER_HOST_ADDR=host.docker.internal
       #
-      - SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-ghcr.io/all-hands-ai/runtime:0.54-nikolaik}
+      - SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-ghcr.io/all-hands-ai/runtime:0.53-nikolaik}
       - SANDBOX_USER_ID=${SANDBOX_USER_ID:-1234}
       - WORKSPACE_MOUNT_PATH=${WORKSPACE_BASE:-$PWD/workspace}
     ports:

docker-compose.yml

@@ -7,7 +7,7 @@ services:
     image: openhands:latest
     container_name: openhands-app-${DATE:-}
     environment:
-      - SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik}
+      - SANDBOX_RUNTIME_CONTAINER_IMAGE=${SANDBOX_RUNTIME_CONTAINER_IMAGE:-docker.all-hands.dev/all-hands-ai/runtime:0.53-nikolaik}
       #- SANDBOX_USER_ID=${SANDBOX_USER_ID:-1234} # enable this only if you want a specific non-root sandbox user but you will have to manually adjust permissions of ~/.openhands for this user
       - WORKSPACE_MOUNT_PATH=${WORKSPACE_BASE:-$PWD/workspace}
     ports:

docs/usage/architecture/backend.mdx

@@ -2,102 +2,55 @@
 title: Backend Architecture
 ---
 
+<div style={{ textAlign: 'center' }}>
+  <img src="https://github.com/All-Hands-AI/OpenHands/assets/16201837/97d747e3-29d8-4ccb-8d34-6ad1adb17f38" alt="OpenHands System Architecture Diagram Jul 4 2024" />
+  <p><em>OpenHands System Architecture Diagram (July 4, 2024)</em></p>
+</div>
 
 This is a high-level overview of the system architecture. The system is divided into two main components: the frontend and the backend. The frontend is responsible for handling user interactions and displaying the results. The backend is responsible for handling the business logic and executing the agents.
 
-# System overview
+# Frontend architecture
 
-```mermaid
-flowchart LR
-  U["User"] --> FE["Frontend (SPA)"]
-  FE -- "HTTP/WS" --> BE["OpenHands Backend"]
-  BE --> ES["EventStream"]
-  BE --> ST["Storage"]
-  BE --> RT["Runtime Interface"]
-  BE --> LLM["LLM Providers"]
-
-  subgraph Runtime
-    direction TB
-    RT --> DRT["Docker Runtime"]
-    RT --> LRT["Local Runtime"]
-    RT --> RRT["Remote Runtime"]
-    DRT --> AES["Action Execution Server"]
-    LRT --> AES
-    RRT --> AES
-    AES --> Bash["Bash Session"]
-    AES --> Jupyter["Jupyter Plugin"]
-    AES --> Browser["BrowserEnv"]
-  end
-```
+![system_architecture.svg](/static/img/system_architecture.svg)
 
 This Overview is simplified to show the main components and their interactions. For a more detailed view of the backend architecture, see the Backend Architecture section below.
 
 # Backend Architecture
 
+_**Disclaimer**: The backend architecture is a work in progress and is subject to change. The following diagram shows the current architecture of the backend based on the commit that is shown in the footer of the diagram._
 
-```mermaid
-classDiagram
-  class Agent {
-    <<abstract>>
-    +sandbox_plugins: list[PluginRequirement]
-  }
-  class CodeActAgent {
-    +tools
-  }
-  Agent <|-- CodeActAgent
-
-  class EventStream
-  class Observation
-  class Action
-  Action --> Observation
-  Agent --> EventStream
-
-  class Runtime {
-    +connect()
-    +send_action_for_execution()
-  }
-  class ActionExecutionClient {
-    +_send_action_server_request()
-  }
-  class DockerRuntime
-  class LocalRuntime
-  class RemoteRuntime
-  Runtime <|-- ActionExecutionClient
-  ActionExecutionClient <|-- DockerRuntime
-  ActionExecutionClient <|-- LocalRuntime
-  ActionExecutionClient <|-- RemoteRuntime
-
-  class ActionExecutionServer {
-    +/execute_action
-    +/alive
-  }
-  class BashSession
-  class JupyterPlugin
-  class BrowserEnv
-  ActionExecutionServer --> BashSession
-  ActionExecutionServer --> JupyterPlugin
-  ActionExecutionServer --> BrowserEnv
-
-  Agent --> Runtime
-  Runtime ..> ActionExecutionServer : REST
-```
+![backend_architecture.svg](/static/img/backend_architecture.svg)
 
 <details>
   <summary>Updating this Diagram</summary>
   <div>
-    We maintain architecture diagrams inline with Mermaid in this MDX.
+    The generation of the backend architecture diagram is partially automated.
+    The diagram is generated from the type hints in the code using the py2puml
+    tool. The diagram is then manually reviewed, adjusted and exported to PNG
+    and SVG.
 
-    Guidance:
-    - Edit the Mermaid blocks directly (flowchart/classDiagram).
-    - Quote labels and edge text for GitHub preview compatibility.
-    - Keep relationships concise and reflect stable abstractions (agents, runtime client/server, plugins).
-    - Verify accuracy against code:
-      - openhands/runtime/impl/action_execution/action_execution_client.py
-      - openhands/runtime/impl/docker/docker_runtime.py
-      - openhands/runtime/impl/local/local_runtime.py
-      - openhands/runtime/action_execution_server.py
-      - openhands/runtime/plugins/*
-    - Build docs locally or view on GitHub to confirm diagrams render.
+    ## Prerequisites
+
+    - Running python environment in which openhands is executable
+    (according to the instructions in the README.md file in the root of the repository)
+    - [py2puml](https://github.com/lucsorel/py2puml) installed
+
+## Steps
+
+1.  Autogenerate the diagram by running the following command from the root of the repository:
+    `py2puml openhands openhands > docs/architecture/backend_architecture.puml`
+
+2.  Open the generated file in a PlantUML editor, e.g. Visual Studio Code with the PlantUML extension or [PlantText](https://www.planttext.com/)
+
+3.  Review the generated PUML and make all necessary adjustments to the diagram (add missing parts, fix mistakes, improve positioning).
+    _py2puml creates the diagram based on the type hints in the code, so missing or incorrect type hints may result in an incomplete or incorrect diagram._
+
+4.  Review the diff between the new and the previous diagram and manually check if the changes are correct.
+    _Make sure not to remove parts that were manually added to the diagram in the past and are still relevant._
+
+5.  Add the commit hash of the commit that was used to generate the diagram to the diagram footer.
+
+6.  Export the diagram as PNG and SVG files and replace the existing diagrams in the `docs/architecture` directory. This can be done with (e.g. [PlantText](https://www.planttext.com/))
 
   </div>
 </details>

docs/usage/architecture/runtime.mdx

@@ -52,7 +52,7 @@ graph TD
 2. Image Building: OpenHands builds a new Docker image (the "OH runtime image") based on the user-provided image. This new image includes OpenHands-specific code, primarily the "runtime client"
 3. Container Launch: When OpenHands starts, it launches a Docker container using the OH runtime image
 4. Action Execution Server Initialization: The action execution server initializes an `ActionExecutor` inside the container, setting up necessary components like a bash shell and loading any specified plugins
-5. Communication: The OpenHands backend (client: `openhands/runtime/impl/action_execution/action_execution_client.py`; runtimes: `openhands/runtime/impl/docker/docker_runtime.py`, `openhands/runtime/impl/local/local_runtime.py`) communicates with the action execution server over RESTful API, sending actions and receiving observations
+5. Communication: The OpenHands backend (`openhands/runtime/impl/eventstream/eventstream_runtime.py`) communicates with the action execution server over RESTful API, sending actions and receiving observations
 6. Action Execution: The runtime client receives actions from the backend, executes them in the sandboxed environment, and sends back observations
 7. Observation Return: The action execution server sends execution results back to the OpenHands backend as observations
 
@@ -72,7 +72,7 @@ Check out the [relevant code](https://github.com/All-Hands-AI/OpenHands/blob/mai
 ### Image Tagging System
 
 OpenHands uses a three-tag system for its runtime images to balance reproducibility with flexibility.
-The tags are:
+Tags may be in one of 2 formats:
 
 - **Versioned Tag**: `oh_v{openhands_version}_{base_image}` (e.g.: `oh_v0.9.9_nikolaik_s_python-nodejs_t_python3.12-nodejs22`)
 - **Lock Tag**: `oh_v{openhands_version}_{16_digit_lock_hash}` (e.g.: `oh_v0.9.9_1234567890abcdef`)
@@ -119,52 +119,18 @@ This tagging approach allows OpenHands to efficiently manage both development an
 2. The system can quickly rebuild images when minor changes occur (by leveraging recent compatible images)
 3. The **lock** tag (e.g., `runtime:oh_v0.9.3_1234567890abcdef`) always points to the latest build for a particular base image, dependency, and OpenHands version combination
 
-## Volume mounts: named volumes and overlay
-
-OpenHands supports both bind mounts and Docker named volumes in SandboxConfig.volumes:
-
-- Bind mount: "/abs/host/path:/container/path[:mode]"
-- Named volume: "volume:<name>:/container/path[:mode]" or any non-absolute host spec treated as a named volume
-
-Overlay mode (copy-on-write layer) is supported for bind mounts by appending ":overlay" to the mode (e.g., ":ro,overlay").
-To enable overlay COW, set SANDBOX_VOLUME_OVERLAYS to a writable host directory; per-container upper/work dirs are created under it. If SANDBOX_VOLUME_OVERLAYS is unset, overlay mounts are skipped.
-
-Implementation references:
-- openhands/runtime/impl/docker/docker_runtime.py (named volumes in _build_docker_run_args; overlay mounts in _process_overlay_mounts)
-- openhands/core/config/sandbox_config.py (volumes field)
-
-
 ## Runtime Plugin System
 
-The OpenHands Runtime supports a plugin system that allows for extending functionality and customizing the runtime environment. Plugins are initialized when the action execution server starts up inside the runtime.
+The OpenHands Runtime supports a plugin system that allows for extending functionality and customizing the runtime environment. Plugins are initialized when the runtime client starts up.
 
-## Ports and URLs
+Check [an example of Jupyter plugin here](https://github.com/All-Hands-AI/OpenHands/blob/ecf4aed28b0cf7c18d4d8ff554883ba182fc6bdd/openhands/runtime/plugins/jupyter/__init__.py#L21-L55) if you want to implement your own plugin.
 
-- Host port allocation uses file-locked ranges for stability and concurrency:
-  - Main runtime port: find_available_port_with_lock on configured range
-  - VSCode port: SandboxConfig.sandbox.vscode_port if provided, else find_available_port_with_lock in VSCODE_PORT_RANGE
-  - App ports: two additional ranges for plugin/web apps
-- DOCKER_HOST_ADDR (if set) adjusts how URLs are formed for LocalRuntime/Docker environments.
-- VSCode URL is exposed with a connection token from the action execution server endpoint /vscode/connection_token and rendered as:
-  - Docker/Local: http://localhost:{port}/?tkn={token}&folder={workspace_mount_path_in_sandbox}
-  - RemoteRuntime: scheme://vscode-{host}/?tkn={token}&folder={workspace_mount_path_in_sandbox}
-
-References:
-- openhands/runtime/impl/docker/docker_runtime.py (port ranges, locking, DOCKER_HOST_ADDR, vscode_url)
-- openhands/runtime/impl/local/local_runtime.py (vscode_url factory)
-- openhands/runtime/impl/remote/remote_runtime.py (vscode_url mapping)
-- openhands/runtime/action_execution_server.py (/vscode/connection_token)
-
-
-Examples:
-- Jupyter: openhands/runtime/plugins/jupyter/__init__.py (JupyterPlugin, Kernel Gateway)
-- VS Code: openhands/runtime/plugins/vscode/* (VSCodePlugin, exposes tokenized URL)
-- Agent Skills: openhands/runtime/plugins/agent_skills/*
+*More details about the Plugin system are still under construction - contributions are welcomed!*
 
 Key aspects of the plugin system:
 
 1. Plugin Definition: Plugins are defined as Python classes that inherit from a base `Plugin` class
-2. Plugin Registration: Available plugins are registered in `openhands/runtime/plugins/__init__.py` via `ALL_PLUGINS`
+2. Plugin Registration: Available plugins are registered in an `ALL_PLUGINS` dictionary
 3. Plugin Specification: Plugins are associated with `Agent.sandbox_plugins: list[PluginRequirement]`. Users can specify which plugins to load when initializing the runtime
-4. Initialization: Plugins are initialized asynchronously when the runtime starts and are accessible to actions
-5. Usage: Plugins extend capabilities (e.g., Jupyter for IPython cells); the server exposes any web endpoints (ports) via host port mapping
+4. Initialization: Plugins are initialized asynchronously when the runtime client starts
+5. Usage: The runtime client can use initialized plugins to extend its capabilities (e.g., the JupyterPlugin for running IPython cells)

docs/usage/cloud/slack-installation.mdx

@@ -65,7 +65,7 @@ To send follow-up messages for the same conversation, mention `@openhands` in a
 
 Conversation is started by mentioning `@openhands`.
 
-![slack-create-conversation.png](/static/img/slack-create-conversation.png)
+![slack-create-convo.png](/static/img/slack-create-convo.png)
 
 ### See agent response and send follow up messages
 

docs/usage/confirmation-mode.mdx

@@ -1,52 +0,0 @@
-# Confirmation Mode and Security Analyzers
-
-OpenHands provides a security framework to help protect users from potentially risky actions through **Confirmation Mode** and **Security Analyzers**. This system analyzes agent actions and prompts users for confirmation when high-risk operations are detected.
-
-## Overview
-
-The security system consists of two main components:
-
-1. **Confirmation Mode**: When enabled, the agent will pause and ask for user confirmation before executing actions that are flagged as high-risk by the security analyzer.
-
-2. **Security Analyzers**: These are modules that evaluate the risk level of agent actions and determine whether user confirmation is required.
-
-## Configuration
-
-### CLI
-In CLI mode, confirmation is enabled by default. You will have an option to uses the LLM Analyzer and will automatically confirm LOW and MEDIUM risk actions, only prompting for HIGH risk actions.
-
-## Security Analyzers
-
-OpenHands includes multiple analyzers:
-
-- **No Analyzer**: Do not use any security analyzer. The agent will prompt you to confirm *EVERY* action.
-- **LLM Risk Analyzer** (default): Uses the same LLM as the agent to assess action risk levels
-- **Invariant Analyzer**: Uses Invariant Labs' policy engine to evaluate action traces against security policies
-
-### LLM Risk Analyzer
-The default analyzer that leverages the agent's LLM to evaluate the security risk of each action. It considers the action type, parameters, and context to assign risk levels.
-
-### Invariant Analyzer
-An advanced analyzer that:
-- Collects conversation events and parses them into a trace
-- Checks the trace against an Invariant policy to classify risk (low, medium, high)
-- Manages an Invariant server container automatically if needed
-- Supports optional browsing-alignment and harmful-content checks
-
-## How It Works
-
-1. **Action Analysis**: When the agent wants to perform an action, the selected security analyzer evaluates its risk level.
-
-2. **Risk Assessment**: The analyzer returns one of three risk levels:
-   - **LOW**: Action proceeds without confirmation
-   - **MEDIUM**: Action proceeds without confirmation (may be configurable in future)
-   - **HIGH**: Action is paused, and user confirmation is requested
-
-3. **User Confirmation**: For high-risk actions, a confirmation dialog appears with:
-   - Description of the action
-   - Risk assessment explanation
-   - Options to approve or deny action
-
-4. **Action Execution**: Based on user response:
-   - **Approve**: Action proceeds as planned
-   - **Deny**: Action is cancelled

docs/usage/how-to/cli-mode.mdx

@@ -119,7 +119,7 @@ The conversation history will be saved in `~/.openhands/sessions`.
 ```bash
 docker run -it \
     --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.53-nikolaik \
     -e SANDBOX_USER_ID=$(id -u) \
     -e SANDBOX_VOLUMES=$SANDBOX_VOLUMES \
     -e LLM_API_KEY=$LLM_API_KEY \
@@ -128,8 +128,8 @@ docker run -it \
     -v ~/.openhands:/.openhands \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app-$(date +%Y%m%d%H%M%S) \
-    docker.all-hands.dev/all-hands-ai/openhands:0.54 \
-    python -m openhands.cli.entry --override-cli-mode true
+    docker.all-hands.dev/all-hands-ai/openhands:0.53 \
+    python -m openhands.cli.main --override-cli-mode true
 ```
 
 <Note>

docs/usage/how-to/headless-mode.mdx

@@ -61,7 +61,7 @@ export GITHUB_TOKEN="your-token"  # Required for repository operations
 # Run OpenHands
 docker run -it \
     --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.53-nikolaik \
     -e SANDBOX_USER_ID=$(id -u) \
     -e SANDBOX_VOLUMES=$SANDBOX_VOLUMES \
     -e LLM_API_KEY=$LLM_API_KEY \
@@ -73,7 +73,7 @@ docker run -it \
     -v ~/.openhands:/.openhands \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app-$(date +%Y%m%d%H%M%S) \
-    docker.all-hands.dev/all-hands-ai/openhands:0.54 \
+    docker.all-hands.dev/all-hands-ai/openhands:0.53 \
     python -m openhands.core.main -t "write a bash script that prints hi"
 ```
 

docs/usage/llms/local-llms.mdx

@@ -68,23 +68,23 @@ Download and install the LM Studio desktop app from [lmstudio.ai](https://lmstud
 1. Check [the installation guide](/usage/local-setup) and ensure all prerequisites are met before running OpenHands, then run:
 
 ```bash
-docker pull docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik
+docker pull docker.all-hands.dev/all-hands-ai/runtime:0.53-nikolaik
 
 docker run -it --rm --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.53-nikolaik \
     -e LOG_ALL_EVENTS=true \
     -v /var/run/docker.sock:/var/run/docker.sock \
     -v ~/.openhands:/.openhands \
     -p 3000:3000 \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app \
-    docker.all-hands.dev/all-hands-ai/openhands:0.54
+    docker.all-hands.dev/all-hands-ai/openhands:0.53
 ```
 
 2. Wait until the server is running (see log below):
 ```
 Digest: sha256:e72f9baecb458aedb9afc2cd5bc935118d1868719e55d50da73190d3a85c674f
-Status: Image is up to date for docker.all-hands.dev/all-hands-ai/openhands:0.54
+Status: Image is up to date for docker.all-hands.dev/all-hands-ai/openhands:0.53
 Starting OpenHands...
 Running OpenHands as root
 14:22:13 - openhands:INFO: server_config.py:50 - Using config class None

docs/usage/local-setup.mdx

@@ -109,17 +109,17 @@ Note that you'll still need `uv` installed for the default MCP servers to work p
 <Accordion title="Docker Command (Click to expand)">
 
 ```bash
-docker pull docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik
+docker pull docker.all-hands.dev/all-hands-ai/runtime:0.53-nikolaik
 
 docker run -it --rm --pull=always \
-    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.54-nikolaik \
+    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.53-nikolaik \
     -e LOG_ALL_EVENTS=true \
     -v /var/run/docker.sock:/var/run/docker.sock \
     -v ~/.openhands:/.openhands \
     -p 3000:3000 \
     --add-host host.docker.internal:host-gateway \
     --name openhands-app \
-    docker.all-hands.dev/all-hands-ai/openhands:0.54
+    docker.all-hands.dev/all-hands-ai/openhands:0.53
 ```
 
 </Accordion>

docs/usage/runtimes/docker.mdx

@@ -130,28 +130,3 @@ docker run # ... \
 <Note>
 **Docker Desktop Required**: Network isolation features, including custom networks and `host.docker.internal` routing, require Docker Desktop. Docker Engine alone does not support these features on localhost across custom networks. If you're using Docker Engine without Docker Desktop, network isolation may not work as expected.
 </Note>
-
-### Sidecar Containers
-
-If you want to run sidecar containers to the sandbox 'runner' containers without exposing the sandbox containers to the host network, you can use the `SANDBOX_ADDITIONAL_NETWORKS` environment variable to specify additional Docker network names that should be added to the sandbox containers.
-
-```bash
-docker network create openhands-sccache
-
-docker run -d \
-  --hostname openhandsredis \
-  --network openhands-sccache \
-  redis
-
-docker run # ...
-    -e SANDBOX_ADDITIONAL_NETWORKS='["openhands-sccache"]' \
-    # ...
-```
-
-Then all sandbox instances will have to access a shared redis instance at `openhandsredis:6379`.
-
-#### Docker Compose gotcha
-
-Note that Docker Compose adds a prefix (a scope) by default to created networks, which is not taken into account by the additional networks config. Therefore when using docker compose you have to either:
-- specify a network name via the `name` field to remove the scoping (https://docs.docker.com/reference/compose-file/networks/#name) 
-- or provide the scope within the given config (e.g. `SANDBOX_ADDITIONAL_NETWORKS: '["myscope_openhands-sccache"]'` where `myscope` is the docker-compose assigned prefix). 

evaluation/benchmarks/EDA/run_infer.py

@@ -9,8 +9,7 @@ from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
     compatibility_for_eval_history_pairs,
-    get_metrics,
-    get_openhands_config_for_eval,
+    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -61,15 +60,18 @@ AGENT_CLS_TO_INST_SUFFIX = {
 def get_config(
     metadata: EvalMetadata,
 ) -> OpenHandsConfig:
-    # Create config with EDA-specific container image
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    sandbox_config = get_default_sandbox_config_for_eval()
+    sandbox_config.base_container_image = 'python:3.12-bookworm'
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
-
-    # Override the container image for EDA
-    config.sandbox.base_container_image = 'python:3.12-bookworm'
-
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
     agent_config.enable_prompt_extensions = False
@@ -144,7 +146,7 @@ def process_instance(
 
     logger.info(f'Final message: {final_message} | Ground truth: {instance["text"]}')
     test_result = game.reward()
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
 
     # history is now available as a stream of events, rather than list of pairs of (Action, Observation)
     # for compatibility with the existing output format, we can remake the pairs here

evaluation/benchmarks/agent_bench/run_infer.py

@@ -17,8 +17,7 @@ from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
     compatibility_for_eval_history_pairs,
-    get_metrics,
-    get_openhands_config_for_eval,
+    get_default_sandbox_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -41,12 +40,19 @@ from openhands.utils.async_utils import call_async_from_sync
 def get_config(
     metadata: EvalMetadata,
 ) -> OpenHandsConfig:
-    # Create config with agent_bench-specific container image
-    config = get_openhands_config_for_eval(metadata=metadata)
-
-    # Override the container image for agent_bench
-    config.sandbox.base_container_image = 'python:3.12-slim'
+    sandbox_config = get_default_sandbox_config_for_eval()
+    sandbox_config.base_container_image = 'python:3.12-slim'
 
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
+        runtime=os.environ.get('RUNTIME', 'docker'),
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
+    )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
     agent_config.enable_prompt_extensions = False
@@ -267,7 +273,7 @@ def process_instance(
     # remove when it becomes unnecessary
     histories = compatibility_for_eval_history_pairs(state.history)
 
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
 
     # Save the output
     output = EvalOutput(

evaluation/benchmarks/aider_bench/run_infer.py

@@ -17,8 +17,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -51,10 +49,15 @@ def get_config(
 ) -> OpenHandsConfig:
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = 'python:3.11-bookworm'
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
-        sandbox_config=sandbox_config,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime=os.environ.get('RUNTIME', 'docker'),
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
@@ -243,7 +246,7 @@ def process_instance(
     # for compatibility with the existing output format, we can remake the pairs here
     # remove when it becomes unnecessary
     histories = compatibility_for_eval_history_pairs(state.history)
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
 
     # Save the output
     output = EvalOutput(

evaluation/benchmarks/biocoder/run_infer.py

@@ -15,8 +15,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -62,10 +60,15 @@ def get_config(
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = BIOCODER_BENCH_CONTAINER_IMAGE
 
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
@@ -291,7 +294,7 @@ def process_instance(
         raise ValueError('State should not be None.')
 
     test_result = complete_runtime(runtime, instance)
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
     # history is now available as a stream of events, rather than list of pairs of (Action, Observation)
     # for compatibility with the existing output format, we can remake the pairs here
     # remove when it becomes unnecessary

evaluation/benchmarks/bird/run_infer.py

@@ -18,8 +18,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -76,10 +74,15 @@ def get_config(
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = 'python:3.12-bookworm'
 
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
@@ -419,7 +422,7 @@ def process_instance(
     # You can simply get the LAST `MessageAction` from the returned `state.history` and parse it for evaluation.
     if state is None:
         raise ValueError('State should not be None.')
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
 
     # history is now available as a stream of events, rather than list of pairs of (Action, Observation)
     # for compatibility with the existing output format, we can remake the pairs here

evaluation/benchmarks/browsing_delegation/run_infer.py

@@ -11,8 +11,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -41,8 +39,14 @@ def get_config(
     )
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = 'python:3.12-bookworm'
-    config = get_openhands_config_for_eval(
-        metadata=metadata, runtime='docker', sandbox_config=sandbox_config
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
+        runtime='docker',
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
@@ -84,7 +88,7 @@ def process_instance(
     if state is None:
         raise ValueError('State should not be None.')
 
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
     # history is now available as a stream of events, rather than list of pairs of (Action, Observation)
     # for compatibility with the existing output format, we can remake the pairs here
     # remove when it becomes unnecessary

evaluation/benchmarks/commit0/run_infer.py

@@ -16,8 +16,6 @@ from evaluation.utils.shared import (
     assert_and_raise,
     codeact_user_response,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -115,11 +113,16 @@ def get_config(
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = base_container_image
 
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
-        sandbox_config=sandbox_config,
-        runtime=os.environ.get('RUNTIME', 'docker'),
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
+        max_iterations=metadata.max_iterations,
         enable_browser=RUN_WITH_BROWSING,
+        runtime=os.environ.get('RUNTIME', 'docker'),
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(
         update_llm_config_for_completions_logging(
@@ -477,7 +480,7 @@ def process_instance(
 
     # NOTE: this is NO LONGER the event stream, but an agent history that includes delegate agent's events
     histories = [event_to_dict(event) for event in state.history]
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
 
     # Save the output
     output = EvalOutput(

evaluation/benchmarks/discoverybench/run_infer.py

@@ -17,8 +17,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -66,10 +64,15 @@ def get_config(
 ) -> OpenHandsConfig:
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = 'python:3.12-bookworm'
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
@@ -291,7 +294,7 @@ def process_instance(
     if state is None:
         raise ValueError('State should not be None.')
 
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
     test_result = complete_runtime(state)
 
     # history is now available as a stream of events, rather than list of pairs of (Action, Observation)

evaluation/benchmarks/gaia/run_infer.py

@@ -22,8 +22,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -61,10 +59,15 @@ def get_config(
 ) -> OpenHandsConfig:
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = 'nikolaik/python-nodejs:python3.12-nodejs22'
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
-        sandbox_config=sandbox_config,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     if metadata.agent_config:
@@ -266,7 +269,7 @@ Here is the task:
         'model_answer': model_answer,
         'ground_truth': instance['Final answer'],
     }
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
 
     # history is now available as a stream of events, rather than list of pairs of (Action, Observation)
     # for compatibility with the existing output format, we can remake the pairs here

evaluation/benchmarks/gorilla/run_infer.py

@@ -12,8 +12,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -44,10 +42,15 @@ def get_config(
 ) -> OpenHandsConfig:
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = 'python:3.12-bookworm'
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
@@ -105,7 +108,7 @@ def process_instance(
     # attempt to parse model_answer
     ast_eval_fn = instance['ast_eval']
     correct, hallucination = ast_eval_fn(instance_id, model_answer_raw)
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
     logger.info(
         f'Final message: {model_answer_raw} | Correctness: {correct} | Hallucination: {hallucination}'
     )

evaluation/benchmarks/gpqa/run_infer.py

@@ -30,8 +30,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -65,10 +63,15 @@ def get_config(
 ) -> OpenHandsConfig:
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = 'python:3.12-bookworm'
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
@@ -289,7 +292,7 @@ Ok now its time to start solving the question. Good luck!
     if state is None:
         raise ValueError('State should not be None.')
 
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
 
     # Save the output
     output = EvalOutput(

evaluation/benchmarks/humanevalfix/run_infer.py

@@ -23,8 +23,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -86,10 +84,15 @@ def get_config(
 ) -> OpenHandsConfig:
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = 'python:3.12-bookworm'
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
@@ -245,7 +248,7 @@ def process_instance(
 
     if state is None:
         raise ValueError('State should not be None.')
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
     test_result = complete_runtime(runtime, instance)
 
     # history is now available as a stream of events, rather than list of pairs of (Action, Observation)

evaluation/benchmarks/lca_ci_build_repair/eval_infer.py

@@ -16,7 +16,6 @@ import ruamel.yaml
 from evaluation.utils.shared import (
     EvalMetadata,
     get_default_sandbox_config_for_eval,
-    get_openhands_config_for_eval,
     make_metadata,
 )
 from openhands.core.config import (
@@ -38,10 +37,15 @@ def get_config(
 ) -> OpenHandsConfig:
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = 'python:3.12-bookworm'
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)

evaluation/benchmarks/lca_ci_build_repair/run_infer.py

@@ -22,8 +22,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -49,10 +47,15 @@ def get_config(
 ) -> OpenHandsConfig:
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = 'python:3.12-bookworm'
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
@@ -332,7 +335,7 @@ Be thorough in your exploration, testing, and reasoning. It's fine if your think
         )
     )
     assert state is not None
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else {}
 
     test_result = complete_runtime(runtime, instance)
 

evaluation/benchmarks/logic_reasoning/run_infer.py

@@ -10,8 +10,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -53,10 +51,15 @@ def get_config(
         '$OH_INTERPRETER_PATH -m pip install scitools-pyke'
     )
 
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
@@ -244,7 +247,7 @@ def process_instance(
     )
     test_result['final_message'] = final_message
 
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
     # history is now available as a stream of events, rather than list of pairs of (Action, Observation)
     # for compatibility with the existing output format, we can remake the pairs here
     # remove when it becomes unnecessary

evaluation/benchmarks/miniwob/run_infer.py

@@ -13,8 +13,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -59,10 +57,15 @@ def get_config(
 ) -> OpenHandsConfig:
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = 'xingyaoww/od-eval-miniwob:v1.0'
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime=os.environ.get('RUNTIME', 'docker'),
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(
         update_llm_config_for_completions_logging(
@@ -171,7 +174,7 @@ def process_instance(
     if state is None:
         raise ValueError('State should not be None.')
 
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
 
     # Instruction is the first message from the USER
     instruction = ''

evaluation/benchmarks/mint/run_infer.py

@@ -15,8 +15,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -111,10 +109,15 @@ def get_config(
         f'$OH_INTERPRETER_PATH -m pip install {" ".join(MINT_DEPENDENCIES)}'
     )
 
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
@@ -202,7 +205,7 @@ def process_instance(
         task_state = state.extra_data['task_state']
         logger.info('Task state: ' + str(task_state.to_dict()))
 
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
 
     # history is now available as a stream of events, rather than list of pairs of (Action, Observation)
     # for compatibility with the existing output format, we can remake the pairs here

evaluation/benchmarks/ml_bench/run_infer.py

@@ -26,8 +26,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -81,10 +79,15 @@ def get_config(
 ) -> OpenHandsConfig:
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = 'public.ecr.aws/i5g0m1f6/ml-bench'
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
@@ -247,7 +250,7 @@ def process_instance(instance: Any, metadata: EvalMetadata, reset_logger: bool =
         )
     )
     assert state is not None
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else {}
 
     test_result = complete_runtime(runtime)
 

evaluation/benchmarks/multi_swe_bench/eval_infer.py

@@ -23,7 +23,6 @@ from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
     get_default_sandbox_config_for_eval,
-    get_openhands_config_for_eval,
     prepare_dataset,
     reset_logger_for_multiprocessing,
     run_evaluation,
@@ -88,9 +87,13 @@ def get_config(metadata: EvalMetadata, instance: pd.Series) -> OpenHandsConfig:
         dataset_name=metadata.dataset,
         instance_id=instance['instance_id'],
     )
-    config = get_openhands_config_for_eval(
+    config = OpenHandsConfig(
+        run_as_openhands=False,
         runtime=os.environ.get('RUNTIME', 'docker'),
-        sandbox_config=sandbox_config,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     return config
 

evaluation/benchmarks/multi_swe_bench/run_infer.py

@@ -21,7 +21,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     get_default_sandbox_config_for_eval,
     get_metrics,
-    get_openhands_config_for_eval,
     is_fatal_evaluation_error,
     make_metadata,
     prepare_dataset,
@@ -342,11 +341,16 @@ def get_config(
         instance_id=instance['instance_id'],
     )
 
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
+        max_iterations=metadata.max_iterations,
         enable_browser=RUN_WITH_BROWSING,
         runtime=os.environ.get('RUNTIME', 'docker'),
-        sandbox_config=sandbox_config,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(
         update_llm_config_for_completions_logging(

evaluation/benchmarks/nocode_bench/README.md

@@ -1,45 +0,0 @@
-# Evaluate OpenHands on NoCode-bench
-
-## LLM Setup
-
-Please follow [here](../../README.md#setup).
-
-
-## Docker image download
-
-Evaluating OpenHands on NoCode-bench need instance-level docker image.
-Please follow the instructions of NoCode-bench image setup to build or download all instance-level dokcer [here](https://github.com/NoCode-bench/NoCode-bench).
-
-## Generate patch
-
-Please follow the instructions [here](../swe_bench/README.md#running-locally-with-docker)
-For example,
-```bash
-bash ./evaluation/benchmarks/nocode_bench/scripts/run_infer_nc.sh llm.claude HEAD CodeActAgent 114 100 10 NoCode-bench/NoCode-bench_Verified test
-```
-The results will be generated in evaluation/evaluation_outputs/outputs/XXX/CodeActAgent/YYY/output.jsonl.
-
-## Runing evaluation
-
-First, install [NoCode-bench](https://github.com/NoCode-bench/NoCode-bench).
-
-Second, convert the output.jsonl to patch.jsonl with [script](scripts/eval/convert.py).
-
-```bash
-python evaluation/benchmarks/multi_swe_bench/scripts/eval/convert.py
-```
-
-Finally, evaluate with NoCode-bench.
-
-```bash
-export PYTHONPATH=$PYTHONPATH:$(pwd)
-python ./evaluation/eval.py \
-    --predictions_path ./all_preds.jsonl \  # <path_to_your_predictions>
-    --log_dir ./evaluation/logs \ # <path_to_your_log_dir>
-    --bench_tasks NoCode-bench/NoCode-bench_Verified \ # <dataset_name>
-    --max_workers 110 \ # <number_of_workers>
-    --output_file eval_result.txt \ # <path_to_your_output_file>
-    --image_level repo \ # <cache_image_level>
-    --timeout 600 \ # <timeout_in_seconds>
-    --proxy None # <proxy_if_needed>
-```

evaluation/benchmarks/nocode_bench/binary_patch_utils.py

@@ -1,52 +0,0 @@
-"""
-Utilities for handling binary files and patch generation in SWE-bench evaluation.
-"""
-
-
-def remove_binary_diffs(patch_text):
-    """
-    Remove binary file diffs from a git patch.
-
-    Args:
-        patch_text (str): The git patch text
-
-    Returns:
-        str: The cleaned patch text with binary diffs removed
-    """
-    lines = patch_text.splitlines()
-    cleaned_lines = []
-    block = []
-    is_binary_block = False
-
-    for line in lines:
-        if line.startswith('diff --git '):
-            if block and not is_binary_block:
-                cleaned_lines.extend(block)
-            block = [line]
-            is_binary_block = False
-        elif 'Binary files' in line:
-            is_binary_block = True
-            block.append(line)
-        else:
-            block.append(line)
-
-    if block and not is_binary_block:
-        cleaned_lines.extend(block)
-    return '\n'.join(cleaned_lines)
-
-
-def remove_binary_files_from_git():
-    """
-    Generate a bash command to remove binary files from git staging.
-
-    Returns:
-        str: A bash command that removes binary files from git staging
-    """
-    return """
-    for file in $(git status --porcelain | grep -E "^(M| M|\\?\\?|A| A)" | cut -c4-); do
-        if [ -f "$file" ] && (file "$file" | grep -q "executable" || git check-attr binary "$file" | grep -q "binary: set"); then
-            git rm -f "$file" 2>/dev/null || rm -f "$file"
-            echo "Removed: $file"
-        fi
-    done
-    """.strip()

evaluation/benchmarks/nocode_bench/consistants.py

@@ -1,545 +0,0 @@
-DOCPATH_PATTERNS = [
-    r'docs/',
-    r'^CHANGES\.rst$',
-    r'doc/',
-    r'ChangeLog',
-    r'^changelog/',
-    r'^CHANGES$',
-]
-
-MATPLOTLIB_CONFIG = {
-    k: {
-        'python': '3.11',
-        'conda_env': 'matplotlib_35',
-        'install': 'python -m pip install -e .',
-        'test_cmd': 'pytest -rA --color=no',
-    }
-    for k in ['3.5', '3.6', '3.7', '3.8', '3.9']
-}
-MATPLOTLIB_CONFIG.update(
-    {
-        k: {
-            'python': '3.8',
-            'conda_env': 'matplotlib_31',
-            'install': 'python -m pip install -e .',
-            'test_cmd': 'pytest -rA --color=no',
-        }
-        for k in ['3.1', '3.2', '3.3', '3.4']
-    }
-)
-MATPLOTLIB_CONFIG.update(
-    {
-        k: {
-            'python': '3.5',
-            'install': 'python setup.py build; python setup.py install',
-            'conda_env': 'matplotlib_11',
-            'nonroot': True,
-            'test_cmd': 'pytest -rA --color=no',
-        }
-        for k in ['2.0', '2.1', '2.2', '1.0', '1.1', '1.2', '1.3', '1.4', '1.5']
-    }
-)
-for k in ['3.8', '3.9']:
-    MATPLOTLIB_CONFIG[k]['install'] = (
-        'python -m pip install --no-build-isolation -e ".[dev]"'
-    )
-
-
-SYMPY_CONFIG = {}
-SYMPY_CONFIG.update(
-    {
-        '1.0': {
-            'conda_env': 'sympy_10',
-            'install': 'pip install -e .',
-            'test_cmd': 'bin/test -C -v',
-            # testfile -k testname
-        }
-    }
-)
-
-REQUESTS_CONFIG = {}
-REQUESTS_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'requests_227',
-            'install': 'pip install -r requirements-dev.txt',
-            'test_cmd': 'pytest -rA',
-        }
-        for k in ['2.27']
-    }
-)
-REQUESTS_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'requests_226',
-            'install': 'pip install -e .',
-            'test_cmd': 'pytest -rA',
-        }
-        for k in ['2.26']
-    }
-)
-
-PYTEST_CONFIG = {}
-PYTEST_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'pytest_33',
-            'install': 'pip install -e .',
-            'test_cmd': 'pytest -v --color=no',
-        }
-        for k in ['4.4', '4.1', '3.7', '3.4', '3.3']
-    }
-)
-
-PYLINT_CONFIG = {}
-PYLINT_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'pylint_210',
-            'install': 'pip install -r requirements_test.txt',
-            'test_cmd': 'pytest -rA --color=no',
-        }
-        for k in [
-            '2.10',
-            '2.11',
-            '2.13',
-            '2.14',
-            '2.15',
-            '2.16',
-            '2.17',
-            '3.0',
-            '3.1',
-            '3.2',
-            '3.3',
-        ]
-    }
-)
-PYLINT_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'pylint_210',
-            'pre_install': [
-                r"sed -i 's/setuptools==[0-9.]\+/setuptools==58.0.0/' requirements_test_min.txt"
-            ],
-            'install': 'pip install -r requirements_test.txt',
-            'test_cmd': 'pytest -rA --color=no',
-        }
-        for k in ['3.0', '3.1', '3.2', '3.3']
-    }
-)
-
-ASTROPY_CONFIG = {}
-ASTROPY_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'astropy_11',
-            'install': 'python -m pip install -e .[test] --verbose',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['1.1', '1.2', '1.3', '2.0']
-    }
-)
-ASTROPY_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'astropy_30',
-            'pre_install': """echo '[pytest]
-filterwarnings =
-    ignore::DeprecationWarning' > pytest.ini""",
-            'install': 'python -m pip install -e .[test] --verbose',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['3.0', '3.1', '3.2']
-    }
-)
-ASTROPY_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'astropy_40',
-            'pre_install': [
-                r"""sed -i 's/requires = \["setuptools",/requires = \["setuptools==68.0.0",/' pyproject.toml"""
-            ],
-            'install': 'python -m pip install -e .[test] --verbose',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['4.0']
-    }
-)
-ASTROPY_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'astropy_41',
-            'pre_install': [
-                r"""sed -i 's/requires = \["setuptools",/requires = \["setuptools==68.0.0",/' pyproject.toml""",
-                """sed -i 's/^qt_no_exception_capture = 1$/; qt_no_exception_capture = 1/' setup.cfg""",
-                r"""sed -i '/setuptools==68.0.0",/a \    "markupsafe==2.0.1",' pyproject.tomlsed -i '/setuptools==68.0.0",/a \    "markupsafe==2.0.1",' pyproject.toml""",
-            ],
-            'install': 'python -m pip install -e .[test] --verbose',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['4.1']
-    }
-)
-ASTROPY_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'astropy_42',
-            'pre_install': [
-                r"""sed -i 's/requires = \["setuptools",/requires = \["setuptools==68.0.0",/' pyproject.toml""",
-                r"""sed -i '/setuptools==68.0.0",/a \    "markupsafe==2.0.1",' pyproject.tomlsed -i '/setuptools==68.0.0",/a \    "markupsafe==2.0.1",' pyproject.toml""",
-            ],
-            'install': 'python -m pip install -e .[test] --verbose',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['4.2', '4.3', '5.0', '5.1']
-    }
-)
-
-ASTROPY_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'astropy_52',
-            'pre_install': [
-                r"""sed -i 's/requires = \["setuptools",/requires = \["setuptools==68.0.0",/' pyproject.toml"""
-            ],
-            'install': 'python -m pip install -e .[test] --verbose',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['5.2', '5.3', '6.0', '6.1', '7.0']
-    }
-)
-
-DJANGO_CONFIG = {}
-DJANGO_CONFIG.update(
-    {
-        k: {
-            'install': 'pip install -e .',
-            'conda_env': 'django_22',
-            'test_cmd': 'python tests/runtests.py --verbosity 2',
-        }
-        for k in ['1.9', '2.2']
-    }
-)
-DJANGO_CONFIG.update(
-    {
-        '3.2': {
-            'install': 'pip install -e .',
-            'conda_env': 'django_32',
-            'test_cmd': 'python tests/runtests.py --verbosity 2',
-        },
-        '4.2': {
-            'install': 'pip install -e .',
-            'conda_env': 'django_42',
-            'test_cmd': 'python tests/runtests.py --verbosity 2',
-        },
-        '5.1': {
-            'install': 'pip install -e .',
-            'conda_env': 'django_51',
-            'test_cmd': 'python tests/runtests.py --verbosity 2',
-        },
-    }
-)
-SPHINX_CONFIG = {}
-SPHINX_CONFIG.update(
-    {  # 1.x 版本问题，实际无用
-        k: {
-            'conda_env': 'sphinx_20',
-            'install': 'python -m pip install -e .[test]',
-            'pre_install': ["sed -i 's/pytest/pytest -rA/' tox.ini"],
-            'test_cmd': 'tox --current-env -epy37 -v --',
-        }
-        for k in ['1.3', '1.4', '1.5', '1.6', '1.7', '1.8']
-    }
-)
-SPHINX_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'sphinx_20',
-            'install': 'python -m pip install -e .[test]',
-            'pre_install': [
-                "sed -i 's/pytest/pytest -rA/' tox.ini",
-                "sed -i 's/Jinja2>=2.3/Jinja2<3.0/' setup.py",
-            ],
-            'test_cmd': 'tox --current-env -epy37 -v --',
-        }
-        for k in ['2.0', '2.1', '2.2', '2.3', '2.4']
-    }
-)
-SPHINX_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'sphinx_30',
-            'install': 'python -m pip install -e .[test]',
-            'pre_install': [
-                "sed -i 's/pytest/pytest -rA/' tox.ini",
-                "sed -i 's/Jinja2>=2.3/Jinja2<3.0/' setup.py",
-                "sed -i 's/sphinxcontrib-applehelp/sphinxcontrib-applehelp<=1.0.7/' setup.py",
-                "sed -i 's/sphinxcontrib-devhelp/sphinxcontrib-devhelp<=1.0.5/' setup.py",
-                "sed -i 's/sphinxcontrib-qthelp/sphinxcontrib-qthelp<=1.0.6/' setup.py",
-                "sed -i 's/alabaster>=0.7,<0.8/alabaster>=0.7,<0.7.12/' setup.py",
-                "sed -i \"s/'packaging',/'packaging', 'markupsafe<=2.0.1',/\" setup.py",
-                "sed -i 's/sphinxcontrib-htmlhelp/sphinxcontrib-htmlhelp<=2.0.4/' setup.py",
-                "sed -i 's/sphinxcontrib-serializinghtml/sphinxcontrib-serializinghtml<=1.1.9/' setup.py",
-            ],
-            'test_cmd': 'tox --current-env -epy37 -v --',
-        }
-        for k in ['3.0', '3.1', '3.2', '3.3', '3.4', '3.5', '4.0']
-    }
-)
-SPHINX_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'sphinx_30',
-            'install': 'python -m pip install -e .[test]',
-            'pre_install': [
-                "sed -i 's/pytest/pytest -rA/' tox.ini",
-                "sed -i 's/Jinja2>=2.3/Jinja2<3.0/' setup.py",
-                "sed -i 's/sphinxcontrib-applehelp/sphinxcontrib-applehelp<=1.0.7/' setup.py",
-                "sed -i 's/sphinxcontrib-devhelp/sphinxcontrib-devhelp<=1.0.5/' setup.py",
-                "sed -i 's/sphinxcontrib-qthelp/sphinxcontrib-qthelp<=1.0.6/' setup.py",
-                "sed -i 's/alabaster>=0.7,<0.8/alabaster>=0.7,<0.7.12/' setup.py",
-                "sed -i \"s/'packaging',/'packaging', 'markupsafe<=2.0.1',/\" setup.py",
-                (
-                    "grep -q 'sphinxcontrib-htmlhelp>=2.0.0' setup.py && "
-                    "sed -i 's/sphinxcontrib-htmlhelp>=2.0.0/sphinxcontrib-htmlhelp>=2.0.0,<=2.0.4/' setup.py || "
-                    "sed -i 's/sphinxcontrib-htmlhelp/sphinxcontrib-htmlhelp<=2.0.4/' setup.py"
-                ),
-                (
-                    "grep -q 'sphinxcontrib-serializinghtml>=1.1.5' setup.py && "
-                    "sed -i 's/sphinxcontrib-serializinghtml>=1.1.5/sphinxcontrib-serializinghtml>=1.1.5,<=1.1.9/' setup.py || "
-                    "sed -i 's/sphinxcontrib-serializinghtml/sphinxcontrib-serializinghtml<=1.1.9/' setup.py"
-                ),
-            ],
-            'test_cmd': 'tox --current-env -epy37 -v --',
-        }
-        for k in ['4.1']
-    }
-)
-SPHINX_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'sphinx_30',
-            'install': 'python -m pip install -e .[test]',
-            'pre_install': [
-                "sed -i 's/pytest/pytest -rA/' tox.ini",
-                "sed -i 's/Jinja2>=2.3/Jinja2<3.0/' setup.py",
-                "sed -i 's/sphinxcontrib-applehelp/sphinxcontrib-applehelp<=1.0.7/' setup.py",
-                "sed -i 's/sphinxcontrib-devhelp/sphinxcontrib-devhelp<=1.0.5/' setup.py",
-                "sed -i 's/sphinxcontrib-qthelp/sphinxcontrib-qthelp<=1.0.6/' setup.py",
-                "sed -i 's/alabaster>=0.7,<0.8/alabaster>=0.7,<0.7.12/' setup.py",
-                "sed -i \"s/'packaging',/'packaging', 'markupsafe<=2.0.1',/\" setup.py",
-                "sed -i 's/sphinxcontrib-htmlhelp>=2.0.0/sphinxcontrib-htmlhelp>=2.0.0,<=2.0.4/' setup.py",
-                "sed -i 's/sphinxcontrib-serializinghtml>=1.1.5/sphinxcontrib-serializinghtml>=1.1.5,<=1.1.9/' setup.py",
-            ],
-            'test_cmd': 'tox --current-env -epy37 -v --',
-        }
-        for k in ['4.2', '4.3', '4.4']
-    }
-)
-SPHINX_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'sphinx_30',
-            'install': 'python -m pip install -e .[test]',
-            'pre_install': [
-                "sed -i 's/pytest/pytest -rA/' tox.ini",
-            ],
-            'test_cmd': 'tox --current-env -epy37 -v --',
-        }
-        for k in ['4.5', '5.0', '5.1', '5.2']
-    }
-)
-SPHINX_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'sphinx_60',
-            'install': 'python -m pip install -e .[test]',
-            'pre_install': [
-                "sed -i 's/pytest/pytest -rA/' tox.ini",
-            ],
-            'test_cmd': 'tox --current-env -epy39 -v --',
-        }
-        for k in ['6.0', '6.2', '7.0', '7.1']
-    }
-)
-SPHINX_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'sphinx_72',
-            'install': 'python -m pip install -e .[test]',
-            'pre_install': [
-                "sed -i 's/pytest/pytest -rA/' tox.ini",
-                'apt-get update && apt-get install -y graphviz',
-            ],
-            'test_cmd': 'tox --current-env -epy39 -v --',
-        }
-        for k in ['7.2', '7.3', '7.4']
-    }
-)
-SPHINX_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'sphinx_80',
-            'install': 'python -m pip install -e .[test]',
-            'pre_install': [
-                "sed -i 's/pytest/pytest -rA/' tox.ini",
-            ],
-            'test_cmd': 'tox --current-env -epy310 -v --',
-        }
-        for k in ['8.0', '8.1']
-    }
-)
-
-
-SKLEARN_CONFIG = {}
-SKLEARN_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'skl_020',
-            'install': 'pip install -v --no-use-pep517 --no-build-isolation -e .',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['0.20', '0.21', '0.22']
-    }
-)
-SKLEARN_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'skl_100',
-            'install': 'pip install -v --no-use-pep517 --no-build-isolation -e .',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['0.23', '0.24', '1.00', '1.01', '1.02']
-    }
-)
-SKLEARN_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'skl_104',
-            'install': 'pip install -v --no-use-pep517 --no-build-isolation -e .',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['1.03', '1.04', '1.05']
-    }
-)
-
-SEABORN_CONFIG = {}
-SEABORN_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'seaborn_010',
-            'install': 'pip install -e .[dev]',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['0.3', '0.4', '0.5', '0.6', '0.11', '0.12', '0.13', '0.14']
-    }
-)
-
-XARRAY_CONFIG = {}
-XARRAY_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'xarray_0014',
-            'install': 'pip install -e .',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['0014', '0015', '0016']
-    }
-)
-XARRAY_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'xarray_0017',
-            'install': 'pip install -e .',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['0017', '0018', '0019', '0020', '0021']
-    }
-)
-XARRAY_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'xarray_2203',
-            'install': 'pip install -e .',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['2203', '2206', '2209', '2210', '2211', '2212']
-    }
-)
-XARRAY_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'xarray_2303',
-            'install': 'pip install -e .',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in [
-            '2303',
-            '2304',
-            '2305',
-            '2306',
-            '2308',
-            '2309',
-            '2310',
-            '2311',
-            '2312',
-        ]
-    }
-)
-XARRAY_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'xarray_2401',
-            'install': 'pip install -e .',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['2401', '2402', '2403', '2405', '2407', '2409', '2410', '2411']
-    }
-)
-
-SKLEARN_CONFIG = {}
-SKLEARN_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'skl_020',
-            'install': 'pip install -v --no-use-pep517 --no-build-isolation -e .',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['0.20', '0.21', '0.22']
-    }
-)
-SKLEARN_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'skl_100',
-            'install': 'pip install -v --no-use-pep517 --no-build-isolation -e .',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['0.23', '0.24', '1.00', '1.01', '1.02']
-    }
-)
-SKLEARN_CONFIG.update(
-    {
-        k: {
-            'conda_env': 'skl_104',
-            'install': 'pip install -v --no-use-pep517 --no-build-isolation -e .',
-            'test_cmd': 'pytest --color=no -rA',
-        }
-        for k in ['1.03', '1.04', '1.05', '1.06', '1.07']
-    }
-)
-
-
-MAP_REPO_TO_CONFIG = {
-    'pydata/xarray': XARRAY_CONFIG,
-    'mwaskom/seaborn': SEABORN_CONFIG,
-    'scikit-learn/scikit-learn': SKLEARN_CONFIG,
-    'sphinx-doc/sphinx': SPHINX_CONFIG,
-    'django/django': DJANGO_CONFIG,
-    'astropy/astropy': ASTROPY_CONFIG,
-    'pylint-dev/pylint': PYLINT_CONFIG,
-    'pytest-dev/pytest': PYTEST_CONFIG,
-    'psf/requests': REQUESTS_CONFIG,
-    'sympy/sympy': SYMPY_CONFIG,
-    'matplotlib/matplotlib': MATPLOTLIB_CONFIG,
-}

evaluation/benchmarks/nocode_bench/prompts/nc.j2

@@ -1,65 +0,0 @@
-<uploaded_files>
-/workspace/{{ workspace_dir_name }}
-</uploaded_files>
-
-I've uploaded a python code repository in the directory {{ workspace_dir_name }}. Consider the following issue description:
-
-<doc_change>
-{{ instance.problem_statement }}
-</doc_change>
-
-Can you help me add the new features to the repository based on the changes in the <doc_change>?
-I've already taken care of all changes to any of the test files described in the <doc_change>. This means you DON'T have to modify the testing logic or any of the tests in any way!
-Also the development Python environment is already set up for you (i.e., all dependencies already installed), so you don't need to install other packages.
-Your task is to make the minimal changes to non-test files in the /workspace/{{ workspace_dir_name }} directory to implement the new features required by the documentation updates.
-
-Follow these phases to resolve the issue:
-
-Phase 1. READING: read the requirements and reword it in clearer terms
-   1.1 If there are code or config snippets. Express in words any best practices or conventions in them.
-   1.2 Hightlight method names, variables, file names, stack traces, and technical details, particularly those related to new features.
-   1.3 Explain the new feature requirements in clear terms.
-   1.4 Specify functional scope and expected behavior of new features.
-   1.5 Hightlight any best practices to take into account when developing and testing the new feature.
-
-Phase 2. RUNNING: install and run the functionality in the repository to validate the new features
-   2.1 Follow the readme.
-   2.2 Install the environment and anything needed.
-   2.2 Iterate and figure out how to validate the newly added features.
-
-Phase 3. EXPLORATION: find the files related to the new features and possible implementation solutions
-   3.1 Use `grep` to search for relevant methods, classes, keywords and feature requirements.
-   3.2 Identify all files related to the new features.
-   3.3 Propose the methods and files to implement the new features and explain why.
-   3.4 From the possible file locations, select the most likely location to implement the new features.
-
-Phase 4. TEST CREATION: before implementing any new features, create a script to validate the feature's correctness.
-   4.1 Look at existing test files in the repository to understand the test format/structure.
-   4.2 Create a minimal validation script to verify the newly added features.
-   4.3 Run the validation script to confirm the new features are successfully added and working as expected.
-   4.4 Adjust the validation script as necessary to ensure the new features fully meet the requirements.
-
-Phase 5. FEATURE ANALYSIS: state clearly the new feature and how to implement it
-   5.1 State clearly what the new feature is.
-   5.2 State clearly where the feature should be implemented.
-   5.3 State clearly how the test validates the new feature.
-   5.4 State clearly the best practices to take into account when implementing the new feature.
-   5.5 State clearly how to implement the new feature.
-
-Phase 6. FEATURE IMPLEMENTATION: edit the source code to implement your chosen solution for the new feature
-   6.1 Make minimal, focused changes to implement the new feature.
-
-Phase 7. VERIFICATION: Test your new feature thoroughly.
-   7.1 Run your validation script to verify the new feature works as expected.
-   7.2 Add edge cases to your test script to ensure comprehensive coverage of the new feature.
-   7.3 Run existing tests related to the modified code to ensure you haven't broken anything.
-
-Phase 8. FINAL REVIEW: Carefully re-read the feature requirements and compare your changes with the base commit {{ instance.base_commit }}
-   8.1 Ensure you've fully implemented all required features.
-   8.2 Run any tests in the repository related to:
-     8.2.1 The new features you are adding
-     8.2.2 The files you modified
-     8.2.3 The functions you changed
-   8.3 If any tests fail, revise your implementation until all tests pass and the new feature works as expected.
-
-Be thorough in your exploration, testing, and reasoning. It's fine if your thinking process is lengthy - quality and completeness are more important than brevity.

evaluation/benchmarks/nocode_bench/resource/mapping.py

@@ -1,39 +0,0 @@
-"""Mapping instance_id to resource_factor.
-
-Different instances may have different resource requirements.
-e.g., some instances may require more memory/CPU to run inference.
-This file tracks the resource requirements of different instances.
-"""
-
-import json
-import os
-
-from openhands.core.logger import openhands_logger as logger
-
-CUR_DIR = os.path.dirname(os.path.abspath(__file__))
-DEFAULT_RUNTIME_RESOURCE_FACTOR = int(
-    os.environ.get('DEFAULT_RUNTIME_RESOURCE_FACTOR', 1)
-)
-
-# dataset to resource mapping
-_global_resource_mapping: dict[str, dict[str, float]] = {}
-
-
-def get_resource_mapping(dataset_name: str) -> dict[str, float]:
-    if dataset_name not in _global_resource_mapping:
-        file_path = os.path.join(CUR_DIR, f'{dataset_name}.json')
-        if not os.path.exists(file_path):
-            logger.info(f'Resource mapping for {dataset_name} not found.')
-            return None
-
-        with open(file_path, 'r') as f:
-            _global_resource_mapping[dataset_name] = json.load(f)
-        logger.debug(f'Loaded resource mapping for {dataset_name}')
-    return _global_resource_mapping[dataset_name]
-
-
-def get_instance_resource_factor(dataset_name: str, instance_id: str) -> int:
-    resource_mapping = get_resource_mapping(dataset_name)
-    if resource_mapping is None:
-        return DEFAULT_RUNTIME_RESOURCE_FACTOR
-    return int(resource_mapping.get(instance_id, DEFAULT_RUNTIME_RESOURCE_FACTOR))

evaluation/benchmarks/nocode_bench/run_infer_nc.py

@@ -1,905 +0,0 @@
-import asyncio
-import copy
-import json
-import os
-import tempfile
-from typing import Any, Literal
-
-import numpy as np
-import pandas as pd
-import toml
-from datasets import load_dataset
-from jinja2 import Environment, FileSystemLoader
-
-import openhands.agenthub
-from evaluation.benchmarks.nocode_bench.binary_patch_utils import (
-    remove_binary_diffs,
-    remove_binary_files_from_git,
-)
-from evaluation.benchmarks.nocode_bench.consistants import MAP_REPO_TO_CONFIG
-from evaluation.benchmarks.nocode_bench.resource.mapping import (
-    get_instance_resource_factor,
-)
-from evaluation.benchmarks.nocode_bench.scripts.utils.evaluation_utils import (
-    run_evaluation_nocode_bench,
-)
-from evaluation.utils.shared import (
-    EvalException,
-    EvalMetadata,
-    EvalOutput,
-    assert_and_raise,
-    codeact_user_response,
-    get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
-    is_fatal_evaluation_error,
-    make_metadata,
-    prepare_dataset,
-    reset_logger_for_multiprocessing,
-    update_llm_config_for_completions_logging,
-)
-from openhands.controller.state.state import State
-from openhands.core.config import (
-    AgentConfig,
-    OpenHandsConfig,
-    get_evaluation_parser,
-    get_llm_config_arg,
-)
-from openhands.core.config.condenser_config import NoOpCondenserConfig
-from openhands.core.config.utils import get_condenser_config_arg
-from openhands.core.logger import openhands_logger as logger
-from openhands.core.main import create_runtime, run_controller
-from openhands.critic import AgentFinishedCritic
-from openhands.events.action import CmdRunAction, FileReadAction, MessageAction
-from openhands.events.observation import (
-    CmdOutputObservation,
-    ErrorObservation,
-    FileReadObservation,
-)
-from openhands.events.serialization.event import event_from_dict, event_to_dict
-from openhands.runtime.base import Runtime
-from openhands.utils.async_utils import call_async_from_sync
-from openhands.utils.shutdown_listener import sleep_if_should_continue
-
-USE_HINT_TEXT = os.environ.get('USE_HINT_TEXT', 'false').lower() == 'true'
-RUN_WITH_BROWSING = os.environ.get('RUN_WITH_BROWSING', 'false').lower() == 'true'
-ENABLE_LLM_EDITOR = os.environ.get('ENABLE_LLM_EDITOR', 'false').lower() == 'true'
-BenchMode = Literal['swe', 'swt', 'swt-ci']
-
-# Global variable to track dataset type
-DATASET_TYPE = 'nc_bench'
-
-
-def set_dataset_type(dataset_name: str) -> str:
-    """Set dataset type based on dataset name."""
-    global DATASET_TYPE
-    DATASET_TYPE = 'nc_bench'
-
-    logger.info(f'Dataset type set to: {DATASET_TYPE}')
-
-
-AGENT_CLS_TO_FAKE_USER_RESPONSE_FN = {
-    'CodeActAgent': codeact_user_response,
-}
-
-
-def _get_swebench_workspace_dir_name(instance: pd.Series) -> str:
-    return f'{instance.repo.split("/")[-1]}'
-
-
-def get_instruction(instance: pd.Series, metadata: EvalMetadata) -> MessageAction:
-    workspace_dir_name = _get_swebench_workspace_dir_name(instance)
-    metadata.details['mode']
-
-    # Determine the template file based on mode and LLM
-
-    template_name = 'nc.j2'
-
-    # Set up Jinja2 environment
-    # Assuming templates are in 'evaluation/benchmarks/swe_bench/prompts' relative to this script
-    prompts_dir = os.path.join(os.path.dirname(__file__), 'prompts')
-    env = Environment(loader=FileSystemLoader(prompts_dir))
-    template = env.get_template(template_name)
-
-    # Prepare context for rendering
-    context = {
-        'instance': instance,
-        'workspace_dir_name': workspace_dir_name,
-        'metadata': metadata,  # Pass metadata if needed in templates
-    }
-
-    context['test_instructions'] = ''  # Ensure it's defined for other modes
-
-    # Render the instruction
-    instruction = template.render(context)
-
-    if RUN_WITH_BROWSING:
-        instruction += (
-            '<IMPORTANT!>\nYou SHOULD NEVER attempt to browse the web. </IMPORTANT!>\n'
-        )
-
-    if 'image_assets' in instance:
-        assets = json.loads(instance['image_assets'])
-        assert 'problem_statement' in assets, (
-            'problem_statement is required in image_assets'
-        )
-        image_urls = assets['problem_statement']
-        return MessageAction(content=instruction, image_urls=image_urls)
-    return MessageAction(content=instruction)
-
-
-DEFAULT_DOCKER_IMAGE_PREFIX = os.environ.get(
-    'EVAL_DOCKER_IMAGE_PREFIX', 'docker.io/xingyaoww/'
-)
-logger.info(f'Default docker image prefix: {DEFAULT_DOCKER_IMAGE_PREFIX}')
-
-
-def get_instance_docker_image(
-    instance_id: str,
-    swebench_official_image: bool = False,
-) -> str:
-    if swebench_official_image:
-        # Official NoCode-Bench image
-        image_name = f'ncbench_{instance_id}:latest'.lower()
-        logger.debug(f'Using official NoCode-Bench image: {image_name}')
-        return image_name
-    else:
-        raise
-
-
-def get_config(
-    instance: pd.Series,
-    metadata: EvalMetadata,
-) -> OpenHandsConfig:
-    # We use a different instance image for the each instance of NoCode-bench eval
-    use_swebench_official_image = True
-
-    base_container_image = get_instance_docker_image(
-        instance['instance_id'],
-        swebench_official_image=use_swebench_official_image,
-    )
-    logger.info(
-        f'Using instance container image: {base_container_image}. '
-        f'Please make sure this image exists. '
-        f'Submit an issue on https://github.com/All-Hands-AI/OpenHands if you run into any issues.'
-    )
-
-    sandbox_config = get_default_sandbox_config_for_eval()
-    sandbox_config.base_container_image = base_container_image
-    sandbox_config.enable_auto_lint = True
-    sandbox_config.use_host_network = False
-    # Add platform to the sandbox config to solve issue 4401
-    sandbox_config.platform = 'linux/amd64'
-    sandbox_config.remote_runtime_resource_factor = get_instance_resource_factor(
-        dataset_name=metadata.dataset,
-        instance_id=instance['instance_id'],
-    )
-
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
-        runtime=os.environ.get('RUNTIME', 'docker'),
-        sandbox_config=sandbox_config,
-    )
-
-    config.set_llm_config(
-        update_llm_config_for_completions_logging(
-            metadata.llm_config, metadata.eval_output_dir, instance['instance_id']
-        )
-    )
-    # get 'draft_editor' config if exists
-    config.set_llm_config(get_llm_config_arg('draft_editor'), 'draft_editor')
-
-    agent_config = AgentConfig(
-        enable_jupyter=False,
-        enable_browsing=RUN_WITH_BROWSING,
-        enable_llm_editor=ENABLE_LLM_EDITOR,
-        enable_mcp=False,
-        condenser=metadata.condenser_config,
-        enable_prompt_extensions=False,
-    )
-    config.set_agent_config(agent_config)
-    return config
-
-
-def make_serializable(obj):
-    if isinstance(obj, pd.Series):
-        obj = obj.to_dict()
-    if isinstance(obj, dict):
-        return {k: make_serializable(v) for k, v in obj.items()}
-    elif isinstance(obj, list):
-        return [make_serializable(v) for v in obj]
-    elif isinstance(obj, tuple):
-        return tuple(make_serializable(v) for v in obj)
-    elif isinstance(obj, np.ndarray):
-        return obj.tolist()
-    elif isinstance(obj, pd.Timestamp):
-        return str(obj)
-    else:
-        return obj
-
-
-def initialize_runtime(
-    runtime: Runtime,
-    instance: pd.Series,  # this argument is not required
-    metadata: EvalMetadata,
-):
-    """Initialize the runtime for the agent.
-
-    This function is called before the runtime is used to run the agent.
-    """
-    logger.info('-' * 30)
-    logger.info('BEGIN Runtime Initialization Fn')
-    logger.info('-' * 30)
-    workspace_dir_name = _get_swebench_workspace_dir_name(instance)
-    obs: CmdOutputObservation
-
-    # Set instance id and git configuration
-    action = CmdRunAction(
-        command=f"""echo 'export SWE_INSTANCE_ID={instance['instance_id']}' >> ~/.bashrc && echo 'export PIP_CACHE_DIR=~/.cache/pip' >> ~/.bashrc && echo "alias git='git --no-pager'" >> ~/.bashrc && git config --global core.pager "" && git config --global diff.binary false"""
-    )
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(
-        obs.exit_code == 0,
-        f'Failed to export SWE_INSTANCE_ID and configure git: {str(obs)}',
-    )
-
-    action = CmdRunAction(command="""export USER=$(whoami); echo USER=${USER} """)
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(obs.exit_code == 0, f'Failed to export USER: {str(obs)}')
-
-    # inject the init script
-    script_dir = os.path.dirname(__file__)
-
-    # inject the instance info
-    action = CmdRunAction(command='mkdir -p /swe_util/eval_data/instances')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(
-        obs.exit_code == 0,
-        f'Failed to create /swe_util/eval_data/instances: {str(obs)}',
-    )
-
-    swe_instance_json_name = 'swe-bench-instance.json'
-    with tempfile.TemporaryDirectory() as temp_dir:
-        # Construct the full path for the desired file name within the temporary directory
-        temp_file_path = os.path.join(temp_dir, swe_instance_json_name)
-        # Write to the file with the desired name within the temporary directory
-
-        with open(temp_file_path, 'w') as f:
-            if not isinstance(instance, dict):
-                instance_dict = make_serializable(instance)
-            else:
-                instance_dict = dict(instance)
-
-            if DATASET_TYPE == 'nc_bench':
-                config = MAP_REPO_TO_CONFIG.get(instance['repo'], {}).get(
-                    instance['version'], []
-                )
-                docker_conda_env_name = config['conda_env']
-                instance_dict['conda_env'] = docker_conda_env_name
-
-            json.dump([instance_dict], f)
-
-        # Copy the file to the desired location
-        runtime.copy_to(temp_file_path, '/swe_util/eval_data/instances/')
-
-        # inject the instance swe entry
-        entry_script_path = 'instance_nc_entry.sh'
-
-        runtime.copy_to(
-            str(os.path.join(script_dir, f'scripts/setup/{entry_script_path}')),
-            '/swe_util/',
-        )
-
-    action = CmdRunAction(command='cat ~/.bashrc')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(obs.exit_code == 0, f'Failed to cat ~/.bashrc: {str(obs)}')
-
-    action = CmdRunAction(command='source ~/.bashrc')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    if isinstance(obs, ErrorObservation):
-        logger.error(f'Failed to source ~/.bashrc: {str(obs)}')
-    assert_and_raise(obs.exit_code == 0, f'Failed to source ~/.bashrc: {str(obs)}')
-
-    action = CmdRunAction(command=f'source /swe_util/{entry_script_path}')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(
-        obs.exit_code == 0,
-        f'Failed to source /swe_util/{entry_script_path}: {str(obs)}',
-    )
-
-    action = CmdRunAction(command=f'cd /workspace/{workspace_dir_name}')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(
-        obs.exit_code == 0,
-        f'Failed to cd to /workspace/{workspace_dir_name}: {str(obs)}',
-    )
-
-    action = CmdRunAction(command='git reset --hard')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(obs.exit_code == 0, f'Failed to git reset --hard: {str(obs)}')
-
-    action = CmdRunAction(
-        command='for remote_name in $(git remote); do git remote remove "${remote_name}"; done'
-    )
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(obs.exit_code == 0, f'Failed to remove git remotes: {str(obs)}')
-
-    if DATASET_TYPE != 'Multimodal' and DATASET_TYPE != 'SWE-bench-Live':
-        # Only for non-multimodal datasets, we need to activate the testbed environment for Python
-        # SWE-Bench multimodal datasets and SWE-bench-Live are not using the testbed environment
-        action = CmdRunAction(command='which python')
-        action.set_hard_timeout(600)
-        logger.info(action, extra={'msg_type': 'ACTION'})
-        obs = runtime.run_action(action)
-        logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-        assert_and_raise(
-            obs.exit_code == 0,
-            f'Expected to find python interpreter, but got: {str(obs)}',
-        )
-
-    logger.info('-' * 30)
-    logger.info('END Runtime Initialization Fn')
-    logger.info('-' * 30)
-
-
-def complete_runtime(
-    runtime: Runtime,
-    instance: pd.Series,  # this argument is not required, but it is used to get the workspace_dir_name
-) -> dict[str, Any]:
-    """Complete the runtime for the agent.
-
-    This function is called before the runtime is used to run the agent.
-    If you need to do something in the sandbox to get the correctness metric after
-    the agent has run, modify this function.
-    """
-    logger.info('-' * 30)
-    logger.info('BEGIN Runtime Completion Fn')
-    logger.info('-' * 30)
-    obs: CmdOutputObservation
-    workspace_dir_name = _get_swebench_workspace_dir_name(instance)
-
-    action = CmdRunAction(command=f'cd /workspace/{workspace_dir_name}')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-
-    if obs.exit_code == -1:
-        # The previous command is still running
-        # We need to kill previous command
-        logger.info('The previous command is still running, trying to kill it...')
-        action = CmdRunAction(command='C-c')
-        obs = runtime.run_action(action)
-        logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-
-        # Then run the command again
-        action = CmdRunAction(command=f'cd /workspace/{workspace_dir_name}')
-        action.set_hard_timeout(600)
-        logger.info(action, extra={'msg_type': 'ACTION'})
-        obs = runtime.run_action(action)
-        logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-
-    if obs.exit_code == -1:
-        # The previous command is still running
-        # We need to kill previous command
-        logger.info('The previous command is still running, trying to ctrl+z it...')
-        action = CmdRunAction(command='C-z')
-        obs = runtime.run_action(action)
-        logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-
-        # Then run the command again
-        action = CmdRunAction(command=f'cd /workspace/{workspace_dir_name}')
-        action.set_hard_timeout(600)
-        logger.info(action, extra={'msg_type': 'ACTION'})
-        obs = runtime.run_action(action)
-        logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-
-    assert_and_raise(
-        isinstance(obs, CmdOutputObservation) and obs.exit_code == 0,
-        f'Failed to cd to /workspace/{workspace_dir_name}: {str(obs)}',
-    )
-
-    action = CmdRunAction(command='git config --global core.pager ""')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(
-        isinstance(obs, CmdOutputObservation) and obs.exit_code == 0,
-        f'Failed to git config --global core.pager "": {str(obs)}',
-    )
-
-    # First check for any git repositories in subdirectories
-    action = CmdRunAction(command='find . -type d -name .git -not -path "./.git"')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(
-        isinstance(obs, CmdOutputObservation) and obs.exit_code == 0,
-        f'Failed to find git repositories: {str(obs)}',
-    )
-
-    git_dirs = [p for p in obs.content.strip().split('\n') if p]
-    if git_dirs:
-        # Remove all .git directories in subdirectories
-        for git_dir in git_dirs:
-            action = CmdRunAction(command=f'rm -rf "{git_dir}"')
-            action.set_hard_timeout(600)
-            logger.info(action, extra={'msg_type': 'ACTION'})
-            obs = runtime.run_action(action)
-            logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-            assert_and_raise(
-                isinstance(obs, CmdOutputObservation) and obs.exit_code == 0,
-                f'Failed to remove git directory {git_dir}: {str(obs)}',
-            )
-
-    # add all files
-    action = CmdRunAction(command='git add -A')
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(
-        isinstance(obs, CmdOutputObservation) and obs.exit_code == 0,
-        f'Failed to git add -A: {str(obs)}',
-    )
-
-    # Remove binary files from git staging
-    action = CmdRunAction(command=remove_binary_files_from_git())
-    action.set_hard_timeout(600)
-    logger.info(action, extra={'msg_type': 'ACTION'})
-    obs = runtime.run_action(action)
-    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-    assert_and_raise(
-        isinstance(obs, CmdOutputObservation) and obs.exit_code == 0,
-        f'Failed to remove binary files: {str(obs)}',
-    )
-
-    n_retries = 0
-    git_patch = None
-    while n_retries < 5:
-        action = CmdRunAction(
-            command=f'git diff --no-color --cached {instance["base_commit"]} > patch.diff'
-        )
-        action.set_hard_timeout(max(300 + 100 * n_retries, 600))
-        logger.info(action, extra={'msg_type': 'ACTION'})
-        obs = runtime.run_action(action)
-        logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-        n_retries += 1
-        if isinstance(obs, CmdOutputObservation):
-            if obs.exit_code == 0:
-                # Read the patch file
-                action = FileReadAction(path='patch.diff')
-                action.set_hard_timeout(max(300 + 100 * n_retries, 600))
-                logger.info(action, extra={'msg_type': 'ACTION'})
-                obs = runtime.run_action(action)
-                logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-                if isinstance(obs, FileReadObservation):
-                    git_patch = obs.content
-                    break
-                elif isinstance(obs, ErrorObservation):
-                    # Fall back to cat "patch.diff" to get the patch
-                    assert 'File could not be decoded as utf-8' in obs.content
-                    action = CmdRunAction(command='cat patch.diff')
-                    action.set_hard_timeout(max(300 + 100 * n_retries, 600))
-                    logger.info(action, extra={'msg_type': 'ACTION'})
-                    obs = runtime.run_action(action)
-                    assert isinstance(obs, CmdOutputObservation) and obs.exit_code == 0
-                    logger.info(obs, extra={'msg_type': 'OBSERVATION'})
-                    git_patch = obs.content
-                    break
-                else:
-                    assert_and_raise(False, f'Unexpected observation type: {str(obs)}')
-            else:
-                logger.info('Failed to get git diff, retrying...')
-                sleep_if_should_continue(10)
-        elif isinstance(obs, ErrorObservation):
-            logger.error(f'Error occurred: {obs.content}. Retrying...')
-            sleep_if_should_continue(10)
-        else:
-            assert_and_raise(False, f'Unexpected observation type: {str(obs)}')
-
-    assert_and_raise(git_patch is not None, 'Failed to get git diff (None)')
-
-    # Remove binary diffs from the patch
-    git_patch = remove_binary_diffs(git_patch)
-
-    logger.info('-' * 30)
-    logger.info('END Runtime Completion Fn')
-    logger.info('-' * 30)
-    return {'git_patch': git_patch}
-
-
-def process_instance(
-    instance: pd.Series,
-    metadata: EvalMetadata,
-    reset_logger: bool = True,
-    runtime_failure_count: int = 0,
-) -> EvalOutput:
-    config = get_config(instance, metadata)
-
-    # Setup the logger properly, so you can run multi-processing to parallelize the evaluation
-    if reset_logger:
-        log_dir = os.path.join(metadata.eval_output_dir, 'infer_logs')
-        reset_logger_for_multiprocessing(logger, instance.instance_id, log_dir)
-    else:
-        logger.info(f'Starting evaluation for instance {instance.instance_id}.')
-
-    # Increase resource_factor with increasing attempt_id
-    if runtime_failure_count > 0:
-        config.sandbox.remote_runtime_resource_factor = min(
-            config.sandbox.remote_runtime_resource_factor * (2**runtime_failure_count),
-            8,
-        )
-        logger.warning(
-            f'This is the {runtime_failure_count + 1}th attempt for instance {instance.instance_id}, setting resource factor to {config.sandbox.remote_runtime_resource_factor}'
-        )
-
-    metadata = copy.deepcopy(metadata)
-    metadata.details['runtime_failure_count'] = runtime_failure_count
-    metadata.details['remote_runtime_resource_factor'] = (
-        config.sandbox.remote_runtime_resource_factor
-    )
-
-    runtime = create_runtime(config)
-    call_async_from_sync(runtime.connect)
-
-    try:
-        initialize_runtime(runtime, instance, metadata)
-
-        message_action = get_instruction(instance, metadata)
-
-        # Here's how you can run the agent (similar to the `main` function) and get the final task state
-        state: State | None = asyncio.run(
-            run_controller(
-                config=config,
-                initial_user_action=message_action,
-                runtime=runtime,
-                fake_user_response_fn=AGENT_CLS_TO_FAKE_USER_RESPONSE_FN[
-                    metadata.agent_class
-                ],
-            )
-        )
-
-        # if fatal error, throw EvalError to trigger re-run
-        if is_fatal_evaluation_error(state.last_error):
-            raise EvalException('Fatal error detected: ' + state.last_error)
-
-        # ======= THIS IS SWE-Bench specific =======
-        # Get git patch
-        if DATASET_TYPE == 'SWE-bench-Live':
-            from evaluation.benchmarks.swe_bench.live_utils import (
-                complete_runtime as complete_runtime_fn,
-            )
-        else:
-            complete_runtime_fn = complete_runtime
-        return_val = complete_runtime_fn(runtime, instance)
-        git_patch = return_val['git_patch']
-        logger.info(
-            f'Got git diff for instance {instance.instance_id}:\n--------\n{git_patch}\n--------'
-        )
-    finally:
-        runtime.close()
-    # ==========================================
-
-    # ======= Attempt to evaluate the agent's edits =======
-    # we use eval_infer.sh to evaluate the agent's edits, not here
-    # because the agent may alter the environment / testcases
-    test_result = {
-        'git_patch': git_patch,
-    }
-
-    # If you are working on some simpler benchmark that only evaluates the final model output (e.g., in a MessageAction)
-    # You can simply get the LAST `MessageAction` from the returned `state.history` and parse it for evaluation.
-    if state is None:
-        raise ValueError('State should not be None.')
-
-    # NOTE: this is NO LONGER the event stream, but an agent history that includes delegate agent's events
-    histories = [event_to_dict(event) for event in state.history]
-    metrics = get_metrics(state)
-
-    # Save the output
-    instruction = message_action.content
-    if message_action.image_urls:
-        instruction += (
-            '\n\n<image_urls>' + '\n'.join(message_action.image_urls) + '</image_urls>'
-        )
-    output = EvalOutput(
-        instance_id=instance.instance_id,
-        instruction=instruction,
-        instance=instance.to_dict(),  # SWE Bench specific
-        test_result=test_result,
-        metadata=metadata,
-        history=histories,
-        metrics=metrics,
-        error=state.last_error if state and state.last_error else None,
-    )
-    return output
-
-
-def filter_dataset(dataset: pd.DataFrame, filter_column: str) -> pd.DataFrame:
-    file_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'config.toml')
-    if os.path.exists(file_path):
-        with open(file_path, 'r') as file:
-            data = toml.load(file)
-            if 'selected_ids' in data:
-                selected_ids = data['selected_ids']
-                logger.info(
-                    f'Filtering {len(selected_ids)} tasks from "selected_ids"...'
-                )
-                subset = dataset[dataset[filter_column].isin(selected_ids)]
-                logger.info(f'Retained {subset.shape[0]} tasks after filtering')
-                return subset
-            if 'selected_repos' in data:
-                # repos for the swe-bench instances:
-                # ['astropy/astropy', 'django/django', 'matplotlib/matplotlib', 'mwaskom/seaborn', 'pallets/flask', 'psf/requests', 'pydata/xarray', 'pylint-dev/pylint', 'pytest-dev/pytest', 'scikit-learn/scikit-learn', 'sphinx-doc/sphinx', 'sympy/sympy']
-                selected_repos = data['selected_repos']
-                if isinstance(selected_repos, str):
-                    selected_repos = [selected_repos]
-                assert isinstance(selected_repos, list)
-                logger.info(
-                    f'Filtering {selected_repos} tasks from "selected_repos"...'
-                )
-                subset = dataset[dataset['repo'].isin(selected_repos)]
-                logger.info(f'Retained {subset.shape[0]} tasks after filtering')
-                return subset
-
-    skip_ids = os.environ.get('SKIP_IDS', '').split(',')
-    if len(skip_ids) > 0:
-        logger.info(f'Filtering {len(skip_ids)} tasks from "SKIP_IDS"...')
-        return dataset[~dataset[filter_column].isin(skip_ids)]
-    return dataset
-
-
-if __name__ == '__main__':
-    parser = get_evaluation_parser()
-    parser.add_argument(
-        '--dataset',
-        type=str,
-        default='NoCode-bench/NoCode-bench_Verified',
-        help='data set to evaluate on, either full-test or lite-test',
-    )
-    parser.add_argument(
-        '--split',
-        type=str,
-        default='test',
-        help='split to evaluate on',
-    )
-    parser.add_argument(
-        '--mode',
-        type=str,
-        default='swe',
-        choices=['swe', 'swt', 'swt-ci'],
-        help="mode to run the evaluation, either 'swe', 'swt', or 'swt-ci'",
-    )
-
-    args, _ = parser.parse_known_args()
-
-    # NOTE: It is preferable to load datasets from huggingface datasets and perform post-processing
-    # so we don't need to manage file uploading to OpenHands's repo
-
-    dataset = load_dataset(args.dataset, args.split)
-
-    # Set the global dataset type based on dataset name
-    set_dataset_type(args.dataset)
-
-    swe_bench_tests = filter_dataset(dataset.to_pandas(), 'instance_id')
-    logger.info(
-        f'Loaded dataset {args.dataset} with split {args.split}: {len(swe_bench_tests)} tasks'
-    )
-
-    llm_config = None
-    if args.llm_config:
-        llm_config = get_llm_config_arg(args.llm_config)
-        llm_config.log_completions = True
-        # modify_params must be False for evaluation purpose, for reproducibility and accurancy of results
-        llm_config.modify_params = False
-
-    if llm_config is None:
-        raise ValueError(f'Could not find LLM config: --llm_config {args.llm_config}')
-
-    # Get condenser config from environment variable
-    condenser_name = os.environ.get('EVAL_CONDENSER')
-    if condenser_name:
-        condenser_config = get_condenser_config_arg(condenser_name)
-        if condenser_config is None:
-            raise ValueError(
-                f'Could not find Condenser config: EVAL_CONDENSER={condenser_name}'
-            )
-    else:
-        # If no specific condenser config is provided via env var, default to NoOpCondenser
-        condenser_config = NoOpCondenserConfig()
-        logger.debug(
-            'No Condenser config provided via EVAL_CONDENSER, using NoOpCondenser.'
-        )
-
-    details = {'mode': args.mode}
-    _agent_cls = openhands.agenthub.Agent.get_cls(args.agent_cls)
-
-    dataset_descrption = (
-        args.dataset.replace('/', '__') + '-' + args.split.replace('/', '__')
-    )
-    metadata = make_metadata(
-        llm_config,
-        dataset_descrption,
-        args.agent_cls,
-        args.max_iterations,
-        args.eval_note,
-        args.eval_output_dir,
-        details=details,
-        condenser_config=condenser_config,
-    )
-
-    output_file = os.path.join(metadata.eval_output_dir, 'output.jsonl')
-    print(f'### OUTPUT FILE: {output_file} ###')
-
-    # Run evaluation in iterative mode:
-    # If a rollout fails to output AgentFinishAction, we will try again until it succeeds OR total 3 attempts have been made.
-    ITERATIVE_EVAL_MODE = (
-        os.environ.get('ITERATIVE_EVAL_MODE', 'false').lower() == 'true'
-    )
-    ITERATIVE_EVAL_MODE_MAX_ATTEMPTS = int(
-        os.environ.get('ITERATIVE_EVAL_MODE_MAX_ATTEMPTS', '3')
-    )
-
-    if not ITERATIVE_EVAL_MODE:
-        # load the dataset
-        instances = prepare_dataset(swe_bench_tests, output_file, args.eval_n_limit)
-        if len(instances) > 0 and not isinstance(
-            instances['PASS2PASS'][instances['PASS2PASS'].index[0]], str
-        ):
-            for col in ['PASS2PASS', 'FAIL2PASS']:
-                instances[col] = instances[col].apply(lambda x: str(x))
-
-        run_evaluation_nocode_bench(
-            instances,
-            metadata,
-            output_file,
-            args.eval_num_workers,
-            process_instance,
-            timeout_seconds=8
-            * 60
-            * 60,  # 8 hour PER instance should be more than enough
-            max_retries=5,
-        )
-    else:
-        critic = AgentFinishedCritic()
-
-        def get_cur_output_file_path(attempt: int) -> str:
-            return (
-                f'{output_file.removesuffix(".jsonl")}.critic_attempt_{attempt}.jsonl'
-            )
-
-        eval_ids = None
-        for attempt in range(1, ITERATIVE_EVAL_MODE_MAX_ATTEMPTS + 1):
-            cur_output_file = get_cur_output_file_path(attempt)
-            logger.info(
-                f'Running evaluation with critic {critic.__class__.__name__} for attempt {attempt} of {ITERATIVE_EVAL_MODE_MAX_ATTEMPTS}.'
-            )
-
-            # For deterministic eval, we set temperature to 0.1 for (>1) attempt
-            # so hopefully we get slightly different results
-            if attempt > 1 and metadata.llm_config.temperature == 0:
-                logger.info(
-                    f'Detected temperature is 0 for (>1) attempt {attempt}. Setting temperature to 0.1...'
-                )
-                metadata.llm_config.temperature = 0.1
-
-            # Load instances - at first attempt, we evaluate all instances
-            # On subsequent attempts, we only evaluate the instances that failed the previous attempt determined by critic
-            instances = prepare_dataset(
-                swe_bench_tests, cur_output_file, args.eval_n_limit, eval_ids=eval_ids
-            )
-            if len(instances) > 0 and not isinstance(
-                instances['PASS2PASS'][instances['PASS2PASS'].index[0]], str
-            ):
-                for col in ['PASS2PASS', 'FAIL2PASS']:
-                    instances[col] = instances[col].apply(lambda x: str(x))
-
-            # Run evaluation - but save them to cur_output_file
-            logger.info(
-                f'Evaluating {len(instances)} instances for attempt {attempt}...'
-            )
-            run_evaluation_nocode_bench(
-                instances,
-                metadata,
-                cur_output_file,
-                args.eval_num_workers,
-                process_instance,
-                timeout_seconds=8
-                * 60
-                * 60,  # 8 hour PER instance should be more than enough
-                max_retries=5,
-            )
-
-            # When eval is done, we update eval_ids to the instances that failed the current attempt
-            instances_failed = []
-            logger.info(
-                f'Use critic {critic.__class__.__name__} to check {len(instances)} instances for attempt {attempt}...'
-            )
-            with open(cur_output_file, 'r') as f:
-                for line in f:
-                    instance = json.loads(line)
-                    try:
-                        history = [
-                            event_from_dict(event) for event in instance['history']
-                        ]
-                        critic_result = critic.evaluate(
-                            history, instance['test_result'].get('git_patch', '')
-                        )
-                        if not critic_result.success:
-                            instances_failed.append(instance['instance_id'])
-                    except Exception as e:
-                        logger.error(
-                            f'Error loading history for instance {instance["instance_id"]}: {e}'
-                        )
-                        instances_failed.append(instance['instance_id'])
-            logger.info(
-                f'{len(instances_failed)} instances failed the current attempt {attempt}: {instances_failed}'
-            )
-            eval_ids = instances_failed
-
-            # If no instances failed, we break
-            if len(instances_failed) == 0:
-                break
-
-        # Then we should aggregate the results from all attempts into the original output file
-        # and remove the intermediate files
-        logger.info(
-            'Aggregating results from all attempts into the original output file...'
-        )
-        fout = open(output_file, 'w')
-        added_instance_ids = set()
-        for attempt in reversed(range(1, ITERATIVE_EVAL_MODE_MAX_ATTEMPTS + 1)):
-            cur_output_file = get_cur_output_file_path(attempt)
-            if not os.path.exists(cur_output_file):
-                logger.warning(
-                    f'Intermediate output file {cur_output_file} does not exist. Skipping...'
-                )
-                continue
-
-            with open(cur_output_file, 'r') as f:
-                for line in f:
-                    instance = json.loads(line)
-                    # Also make sure git_patch is not empty - otherwise we fall back to previous attempt (empty patch is worse than anything else)
-                    if (
-                        instance['instance_id'] not in added_instance_ids
-                        and instance['test_result'].get('git_patch', '').strip()
-                    ):
-                        fout.write(line)
-                        added_instance_ids.add(instance['instance_id'])
-            logger.info(
-                f'Aggregated instances from {cur_output_file}. Total instances added so far: {len(added_instance_ids)}'
-            )
-        fout.close()
-        logger.info(
-            f'Done! Total {len(added_instance_ids)} instances added to {output_file}'
-        )

evaluation/benchmarks/nocode_bench/scripts/eval/convert.py

@@ -1,33 +0,0 @@
-import argparse
-import json
-
-
-def main(output_jsonl: str):
-    with open(output_jsonl, 'r') as f:
-        for line in f:
-            try:
-                output = json.loads(line)
-                pred = {
-                    'instance_id': output['instance_id'],
-                    'model_name_or_path': output['metadata']['llm_config']['model'],
-                    'model_patch': output['test_result']['git_patch'],
-                }
-            except Exception as e:
-                print(
-                    f'Error while reading output of instance {output["instance_id"]}: {e}'
-                )
-
-            print(json.dumps(pred))
-
-
-if __name__ == '__main__':
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        '--output_jsonl',
-        type=str,
-        required=True,
-        help='Path to the prediction file (.../outputs.jsonl)',
-    )
-    args = parser.parse_args()
-
-    main(args.output_jsonl)

evaluation/benchmarks/nocode_bench/scripts/eval/verify_costs.py

@@ -1,104 +0,0 @@
-import argparse
-
-import pandas as pd
-
-from openhands.core.logger import openhands_logger as logger
-
-
-def verify_instance_costs(row: pd.Series) -> float:
-    """
-    Verifies that the accumulated_cost matches the sum of individual costs in metrics.
-    Also checks for duplicate consecutive costs which might indicate buggy counting.
-    If the consecutive costs are identical, the file is affected by this bug:
-    https://github.com/All-Hands-AI/OpenHands/issues/5383
-
-    Args:
-        row: DataFrame row containing instance data with metrics
-    Returns:
-        float: The verified total cost for this instance (corrected if needed)
-    """
-    try:
-        metrics = row.get('metrics')
-        if not metrics:
-            logger.warning(f'Instance {row["instance_id"]}: No metrics found')
-            return 0.0
-
-        accumulated = metrics.get('accumulated_cost')
-        costs = metrics.get('costs', [])
-
-        if accumulated is None:
-            logger.warning(
-                f'Instance {row["instance_id"]}: No accumulated_cost in metrics'
-            )
-            return 0.0
-
-        # Check for duplicate consecutive costs and systematic even-odd pairs
-        has_duplicate = False
-        all_pairs_match = True
-
-        # Check each even-odd pair (0-1, 2-3, etc.)
-        for i in range(0, len(costs) - 1, 2):
-            if abs(costs[i]['cost'] - costs[i + 1]['cost']) < 1e-6:
-                has_duplicate = True
-                logger.debug(
-                    f'Instance {row["instance_id"]}: Possible buggy double-counting detected! '
-                    f'Steps {i} and {i + 1} have identical costs: {costs[i]["cost"]:.2f}'
-                )
-            else:
-                all_pairs_match = False
-                break
-
-        # Calculate total cost, accounting for buggy double counting if detected
-        if len(costs) >= 2 and has_duplicate and all_pairs_match:
-            paired_steps_cost = sum(
-                cost_entry['cost']
-                for cost_entry in costs[: -1 if len(costs) % 2 else None]
-            )
-            real_paired_cost = paired_steps_cost / 2
-
-            unpaired_cost = costs[-1]['cost'] if len(costs) % 2 else 0
-            total_cost = real_paired_cost + unpaired_cost
-
-        else:
-            total_cost = sum(cost_entry['cost'] for cost_entry in costs)
-
-        if not abs(total_cost - accumulated) < 1e-6:
-            logger.warning(
-                f'Instance {row["instance_id"]}: Cost mismatch: '
-                f'accumulated: {accumulated:.2f}, sum of costs: {total_cost:.2f}, '
-            )
-
-        return total_cost
-
-    except Exception as e:
-        logger.error(
-            f'Error verifying costs for instance {row.get("instance_id", "UNKNOWN")}: {e}'
-        )
-        return 0.0
-
-
-def main():
-    parser = argparse.ArgumentParser(
-        description='Verify costs in SWE-bench output file'
-    )
-    parser.add_argument(
-        'input_filepath', type=str, help='Path to the output.jsonl file'
-    )
-    args = parser.parse_args()
-
-    try:
-        # Load and verify the JSONL file
-        df = pd.read_json(args.input_filepath, lines=True)
-        logger.info(f'Loaded {len(df)} instances from {args.input_filepath}')
-
-        # Verify costs for each instance and sum up total
-        total_cost = df.apply(verify_instance_costs, axis=1).sum()
-        logger.info(f'Total verified cost across all instances: ${total_cost:.2f}')
-
-    except Exception as e:
-        logger.error(f'Failed to process file: {e}')
-        raise
-
-
-if __name__ == '__main__':
-    main()

evaluation/benchmarks/nocode_bench/scripts/run_infer_nc.sh

@@ -1,146 +0,0 @@
-#!/usr/bin/env bash
-set -eo pipefail
-
-source "evaluation/utils/version_control.sh"
-
-MODEL_CONFIG=$1
-COMMIT_HASH=$2
-AGENT=$3
-EVAL_LIMIT=$4
-MAX_ITER=$5
-NUM_WORKERS=$6
-DATASET=$7
-SPLIT=$8
-N_RUNS=$9
-MODE=${10}
-
-
-if [ -z "$NUM_WORKERS" ]; then
-  NUM_WORKERS=1
-  echo "Number of workers not specified, use default $NUM_WORKERS"
-fi
-checkout_eval_branch
-
-if [ -z "$AGENT" ]; then
-  echo "Agent not specified, use default CodeActAgent"
-  AGENT="CodeActAgent"
-fi
-
-if [ -z "$MAX_ITER" ]; then
-  echo "MAX_ITER not specified, use default 100"
-  MAX_ITER=100
-fi
-
-if [ -z "$RUN_WITH_BROWSING" ]; then
-  echo "RUN_WITH_BROWSING not specified, use default false"
-  RUN_WITH_BROWSING=false
-fi
-
-
-if [ -z "$DATASET" ]; then
-  echo "DATASET not specified, use default princeton-nlp/SWE-bench_Lite"
-  DATASET="princeton-nlp/SWE-bench_Lite"
-fi
-
-if [ -z "$SPLIT" ]; then
-  echo "SPLIT not specified, use default test"
-  SPLIT="test"
-fi
-
-if [ -z "$MODE" ]; then
-  MODE="swe"
-  echo "MODE not specified, use default $MODE"
-fi
-
-if [ -n "$EVAL_CONDENSER" ]; then
-  echo "Using Condenser Config: $EVAL_CONDENSER"
-else
-  echo "No Condenser Config provided via EVAL_CONDENSER, use default (NoOpCondenser)."
-fi
-
-export RUN_WITH_BROWSING=$RUN_WITH_BROWSING
-echo "RUN_WITH_BROWSING: $RUN_WITH_BROWSING"
-
-get_openhands_version
-
-echo "AGENT: $AGENT"
-echo "OPENHANDS_VERSION: $OPENHANDS_VERSION"
-echo "MODEL_CONFIG: $MODEL_CONFIG"
-echo "DATASET: $DATASET"
-echo "SPLIT: $SPLIT"
-echo "MAX_ITER: $MAX_ITER"
-echo "NUM_WORKERS: $NUM_WORKERS"
-echo "COMMIT_HASH: $COMMIT_HASH"
-echo "MODE: $MODE"
-echo "EVAL_CONDENSER: $EVAL_CONDENSER"
-
-# Default to NOT use Hint
-if [ -z "$USE_HINT_TEXT" ]; then
-  export USE_HINT_TEXT=false
-fi
-echo "USE_HINT_TEXT: $USE_HINT_TEXT"
-EVAL_NOTE="$OPENHANDS_VERSION"
-# if not using Hint, add -no-hint to the eval note
-if [ "$USE_HINT_TEXT" = false ]; then
-  EVAL_NOTE="$EVAL_NOTE-no-hint"
-fi
-
-if [ "$RUN_WITH_BROWSING" = true ]; then
-  EVAL_NOTE="$EVAL_NOTE-with-browsing"
-fi
-
-if [ -n "$EXP_NAME" ]; then
-  EVAL_NOTE="$EVAL_NOTE-$EXP_NAME"
-fi
-# if mode != swe, add mode to the eval note
-if [ "$MODE" != "swe" ]; then
-  EVAL_NOTE="${EVAL_NOTE}-${MODE}"
-fi
-# Add condenser config to eval note if provided
-if [ -n "$EVAL_CONDENSER" ]; then
-  EVAL_NOTE="${EVAL_NOTE}-${EVAL_CONDENSER}"
-fi
-
-function run_eval() {
-  local eval_note="${1}"
-  COMMAND="poetry run python evaluation/benchmarks/nocode_bench/run_infer_nc.py \
-    --agent-cls $AGENT \
-    --llm-config $MODEL_CONFIG \
-    --max-iterations $MAX_ITER \
-    --eval-num-workers $NUM_WORKERS \
-    --eval-note $eval_note \
-    --dataset $DATASET \
-    --split $SPLIT \
-    --mode $MODE"
-
-
-
-  if [ -n "$EVAL_LIMIT" ]; then
-    echo "EVAL_LIMIT: $EVAL_LIMIT"
-    COMMAND="$COMMAND --eval-n-limit $EVAL_LIMIT"
-  fi
-
-  # Run the command
-  eval $COMMAND
-}
-
-unset SANDBOX_ENV_GITHUB_TOKEN # prevent the agent from using the github token to push
-if [ -z "$N_RUNS" ]; then
-  N_RUNS=1
-  echo "N_RUNS not specified, use default $N_RUNS"
-fi
-
-# Skip runs if the run number is in the SKIP_RUNS list
-# read from env variable SKIP_RUNS as a comma separated list of run numbers
-SKIP_RUNS=(${SKIP_RUNS//,/ })
-for i in $(seq 1 $N_RUNS); do
-  if [[ " ${SKIP_RUNS[@]} " =~ " $i " ]]; then
-    echo "Skipping run $i"
-    continue
-  fi
-  current_eval_note="$EVAL_NOTE-run_$i"
-  echo "EVAL_NOTE: $current_eval_note"
-  run_eval $current_eval_note
-done
-
-checkout_original_branch

evaluation/benchmarks/nocode_bench/scripts/setup/compare_patch_filename.py

@@ -1,54 +0,0 @@
-"""This script compares gold patches with OpenHands-generated patches and check whether
-OpenHands found the right (set of) files to modify.
-"""
-
-import argparse
-import json
-import re
-
-
-def extract_modified_files(patch):
-    modified_files = set()
-    file_pattern = re.compile(r'^diff --git a/(.*?) b/')
-
-    for line in patch.split('\n'):
-        match = file_pattern.match(line)
-        if match:
-            modified_files.add(match.group(1))
-
-    return modified_files
-
-
-def process_report(oh_output_file):
-    succ = 0
-    fail = 0
-    for line in open(oh_output_file):
-        line = json.loads(line)
-        instance_id = line['instance_id']
-        gold_patch = line['swe_instance']['patch']
-        generated_patch = line['git_patch']
-        gold_modified_files = extract_modified_files(gold_patch)
-        # swe-bench lite only: a gold patch always contains exactly one file
-        assert len(gold_modified_files) == 1
-        generated_modified_files = extract_modified_files(generated_patch)
-
-        # Check if all files in gold_patch are also in generated_patch
-        all_files_in_generated = gold_modified_files.issubset(generated_modified_files)
-        if all_files_in_generated:
-            succ += 1
-        else:
-            fail += 1
-            print(
-                f'{instance_id}: file mismatch, gold = {gold_modified_files}, generated = {generated_modified_files}'
-            )
-    print(
-        f'\nSUMMARY: {succ} out of {succ + fail} instances found correct files to edit, success rate = {succ / float(succ + fail)}'
-    )
-
-
-if __name__ == '__main__':
-    parser = argparse.ArgumentParser()
-    parser.add_argument('--oh_output_file', help='Path to the OH output file')
-    args = parser.parse_args()
-
-    process_report(args.oh_output_file)

evaluation/benchmarks/nocode_bench/scripts/setup/instance_nc_entry.sh

@@ -1,53 +0,0 @@
-#!/usr/bin/env bash
-
-source ~/.bashrc
-SWEUTIL_DIR=/swe_util
-
-if [ -z "$SWE_INSTANCE_ID" ]; then
-    echo "Error: SWE_INSTANCE_ID is not set." >&2
-    exit 1
-fi
-
-
-item=$(jq --arg INSTANCE_ID "$SWE_INSTANCE_ID" '.[] | select(.instance_id == $INSTANCE_ID)' $SWEUTIL_DIR/eval_data/instances/swe-bench-instance.json)
-
-
-if [[ -z "$item" ]]; then
-  echo "No item found for the provided instance ID."
-  exit 1
-fi
-
-REPO_NAME=$(echo "$item" | jq -r '.repo | split("/")[-1]')
-WORKSPACE_NAME="$REPO_NAME"
-
-
-echo "WORKSPACE_NAME: $WORKSPACE_NAME"
-
-
-# Clear the workspace
-if [ -d /workspace ]; then
-    rm -rf /workspace/*
-else
-    mkdir /workspace
-fi
-# Copy repo to workspace
-if [ -d /workspace/$WORKSPACE_NAME ]; then
-    rm -rf /workspace/$WORKSPACE_NAME
-fi
-mkdir -p /workspace
-
-SRC_DIR="/root/$REPO_NAME"
-DEST_DIR="/workspace/$WORKSPACE_NAME"
-
-cp -r "$SRC_DIR" "$DEST_DIR"
-
-
-
-echo ">> Extracting conda environment name..."
-CONDA_ENV_NAME=$(echo "$item" | jq -r '.conda_env // empty')
-
-# Activate instance-specific environment
-if [ -d /opt/miniconda3 ]; then
-    . /opt/miniconda3/etc/profile.d/conda.sh
-    conda activate $CONDA_ENV_NAME
-fi

evaluation/benchmarks/nocode_bench/scripts/utils/evaluation_utils.py

@@ -1,154 +0,0 @@
-import json
-import multiprocessing as mp
-from typing import Awaitable, Callable, TextIO
-
-import numpy as np
-import pandas as pd
-from pydantic import SecretStr
-from tqdm import tqdm
-
-from evaluation.utils.shared import (
-    EvalMetadata,
-    EvalOutput,
-    _process_instance_wrapper,
-    _process_instance_wrapper_mp,
-)
-from openhands.core.logger import openhands_logger as logger
-
-
-def update_progress_nc(
-    result: EvalOutput,
-    pbar: tqdm,
-    output_fp: TextIO,
-):
-    """Update the progress bar and write the result to the output file."""
-    pbar.update(1)
-    pbar.set_description(f'Instance {result.instance_id}')
-    pbar.set_postfix_str(f'Test Result: {str(result.test_result)[:300]}...')
-    logger.info(
-        f'Finished evaluation for instance {result.instance_id}: '
-        f'{str(result.test_result)[:300]}...\n'
-    )
-
-    def make_serializable(obj):
-        if isinstance(obj, pd.Series):
-            return make_serializable(obj.to_dict())
-
-        if isinstance(obj, dict):
-            return {k: make_serializable(v) for k, v in obj.items()}
-
-        elif isinstance(obj, (list, tuple, set)):
-            converted = [make_serializable(v) for v in obj]
-            if isinstance(obj, list):
-                return converted
-            elif isinstance(obj, tuple):
-                return tuple(converted)
-            else:  # set
-                return converted
-
-        elif isinstance(obj, np.ndarray):
-            return obj.tolist()
-
-        elif isinstance(obj, np.generic):
-            return obj.item()
-
-        elif isinstance(obj, pd.Timestamp):
-            return obj.isoformat()
-
-        elif SecretStr is not None and isinstance(obj, SecretStr):
-            return str(obj)
-
-        else:
-            return obj
-
-    try:
-        raw_data = result.model_dump(mode='python', round_trip=False)
-        safe_data = make_serializable(raw_data)
-        output_fp.write(json.dumps(safe_data, ensure_ascii=False) + '\n')
-        output_fp.flush()
-
-    except Exception as e:
-        logger.error(f'Failed to write full result: {e}')
-
-        fallback = {
-            'instance_id': result.instance_id,
-            'model_patch': result.test_result.get('git_patch', ''),
-        }
-        try:
-            output_fp.write(json.dumps(fallback, ensure_ascii=False) + '\n')
-            output_fp.flush()
-            logger.info(
-                f'Wrote fallback result for instance {result.instance_id}: only instance_id and model_patch.'
-            )
-        except Exception as e2:
-            logger.error(f'Failed to write fallback result: {e2}')
-
-
-def cleanup():
-    print('Cleaning up child processes...')
-    for process in mp.active_children():
-        print(f'Terminating child process: {process.name}')
-        process.terminate()
-        process.join()
-
-
-def run_evaluation_nocode_bench(
-    dataset: pd.DataFrame,
-    metadata: EvalMetadata | None,
-    output_file: str,
-    num_workers: int,
-    process_instance_func: Callable[
-        [pd.Series, EvalMetadata, bool], Awaitable[EvalOutput]
-    ],
-    max_retries: int = 5,  # number of retries for each instance
-    timeout_seconds: int | None = None,
-):
-    use_multiprocessing = num_workers > 1
-
-    if metadata is not None:
-        logger.info(
-            f'Evaluation started with Agent {metadata.agent_class}:\n'
-            f'model {metadata.llm_config.model}, max iterations {metadata.max_iterations}.\n'
-        )
-    else:
-        logger.warning('Running evaluation without metadata.')
-        logger.info(f'Evaluation started with {num_workers} workers.')
-
-    total_instances = len(dataset)
-    pbar = tqdm(total=total_instances, desc='Instances processed')
-    output_fp = open(output_file, 'a')
-
-    try:
-        if use_multiprocessing:
-            with mp.Pool(num_workers) as pool:
-                args_iter = (
-                    (
-                        process_instance_func,
-                        instance,
-                        metadata,
-                        True,
-                        max_retries,
-                        timeout_seconds,
-                    )
-                    for _, instance in dataset.iterrows()
-                )
-                results = pool.imap_unordered(_process_instance_wrapper_mp, args_iter)
-                for result in results:
-                    update_progress_nc(result, pbar, output_fp)
-        else:
-            for _, instance in dataset.iterrows():
-                result = _process_instance_wrapper(
-                    process_instance_func=process_instance_func,
-                    instance=instance,
-                    metadata=metadata,
-                    use_mp=False,
-                    max_retries=max_retries,
-                )
-                update_progress_nc(result, pbar, output_fp)
-
-    except KeyboardInterrupt:
-        print('\nKeyboardInterrupt received. Cleaning up...\n')
-        cleanup()
-
-    output_fp.close()
-    logger.info('\nEvaluation finished.\n')

evaluation/benchmarks/scienceagentbench/run_infer.py

@@ -12,8 +12,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -65,10 +63,16 @@ def get_config(
     sandbox_config.base_container_image = (
         'docker.io/xingyaoww/openhands-eval-scienceagentbench'
     )
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime=os.environ.get('RUNTIME', 'docker'),
-        sandbox_config=sandbox_config,
+        max_budget_per_task=4,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(
         update_llm_config_for_completions_logging(
@@ -214,7 +218,7 @@ If the program uses some packages that are incompatible, please figure out alter
     # You can simply get the LAST `MessageAction` from the returned `state.history` and parse it for evaluation.
     if state is None:
         raise ValueError('State should not be None.')
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
 
     # history is now available as a stream of events, rather than list of pairs of (Action, Observation)
     # for compatibility with the existing output format, we can remake the pairs here

evaluation/benchmarks/swe_bench/README.md

@@ -93,9 +93,6 @@ export USE_HINT_TEXT=true # Ignore this if you are not sure.
 
 # Specify a condenser configuration for memory management (default: NoOpCondenser)
 export EVAL_CONDENSER=summarizer_for_eval # Name of the condenser config group in config.toml
-
-# Specify the instruction prompt template file name
-export INSTRUCTION_TEMPLATE_NAME=swe_custom.j2 # Name of the file in the swe_bench/prompts folder.
 ```
 
 Let's say you'd like to run 10 instances using `llm.eval_gpt4_1106_preview` and CodeActAgent,

evaluation/benchmarks/swe_bench/eval_infer.py

@@ -19,7 +19,6 @@ from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
     get_default_sandbox_config_for_eval,
-    get_openhands_config_for_eval,
     prepare_dataset,
     reset_logger_for_multiprocessing,
     run_evaluation,
@@ -84,9 +83,13 @@ def get_config(metadata: EvalMetadata, instance: pd.Series) -> OpenHandsConfig:
         dataset_name=metadata.dataset,
         instance_id=instance['instance_id'],
     )
-    config = get_openhands_config_for_eval(
+    config = OpenHandsConfig(
+        run_as_openhands=False,
         runtime=os.environ.get('RUNTIME', 'docker'),
-        sandbox_config=sandbox_config,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     return config
 

evaluation/benchmarks/swe_bench/run_infer.py

@@ -32,7 +32,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     get_default_sandbox_config_for_eval,
     get_metrics,
-    get_openhands_config_for_eval,
     is_fatal_evaluation_error,
     make_metadata,
     prepare_dataset,
@@ -109,9 +108,7 @@ def get_instruction(instance: pd.Series, metadata: EvalMetadata) -> MessageActio
     llm_model = metadata.llm_config.model
 
     # Determine the template file based on mode and LLM
-    if metadata.instruction_template_name:
-        template_name = metadata.instruction_template_name
-    elif mode.startswith('swt'):
+    if mode.startswith('swt'):
         template_name = 'swt.j2'
     elif mode == 'swe':
         if 'gpt-4.1' in llm_model:
@@ -125,7 +122,6 @@ def get_instruction(instance: pd.Series, metadata: EvalMetadata) -> MessageActio
         logger.error(f'Unexpected evaluation mode: {mode}. Falling back to default.')
         template_name = 'swe_default.j2'
 
-    logger.debug(f'Using instruction template file: {template_name}')
     # Set up Jinja2 environment
     # Assuming templates are in 'evaluation/benchmarks/swe_bench/prompts' relative to this script
     prompts_dir = os.path.join(os.path.dirname(__file__), 'prompts')
@@ -228,11 +224,16 @@ def get_config(
         instance_id=instance['instance_id'],
     )
 
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
+        max_iterations=metadata.max_iterations,
         enable_browser=RUN_WITH_BROWSING,
         runtime=os.environ.get('RUNTIME', 'docker'),
-        sandbox_config=sandbox_config,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
 
     config.set_llm_config(

evaluation/benchmarks/swe_bench/run_infer_interact.py

@@ -21,7 +21,6 @@ from evaluation.utils.shared import (
     EvalException,
     EvalMetadata,
     EvalOutput,
-    get_metrics,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -180,7 +179,7 @@ def process_instance(
         raise ValueError('State should not be None.')
 
     histories = [event_to_dict(event) for event in state.history]
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
 
     # Save the output
     instruction = message_action.content

evaluation/benchmarks/swe_bench/run_localize.py

@@ -20,7 +20,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     get_default_sandbox_config_for_eval,
     get_metrics,
-    get_openhands_config_for_eval,
     is_fatal_evaluation_error,
     make_metadata,
     prepare_dataset,
@@ -200,11 +199,16 @@ def get_config(
         'REPO_PATH': f'/workspace/{workspace_dir_name}/',
     }
 
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
+        max_iterations=metadata.max_iterations,
         enable_browser=RUN_WITH_BROWSING,
         runtime=os.environ.get('RUNTIME', 'docker'),
-        sandbox_config=sandbox_config,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(
         update_llm_config_for_completions_logging(

evaluation/benchmarks/testgeneval/eval_infer.py

@@ -37,7 +37,6 @@ from evaluation.benchmarks.testgeneval.utils import load_testgeneval_dataset
 from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
-    get_openhands_config_for_eval,
     prepare_dataset,
     reset_logger_for_multiprocessing,
     run_evaluation,
@@ -59,21 +58,20 @@ def get_config(instance: pd.Series) -> OpenHandsConfig:
         f'Invalid container image for instance {instance["instance_id_swebench"]}.'
     )
     logger.info(f'Using instance container image: {base_container_image}.')
-
-    # Create custom sandbox config for testgeneval with specific requirements
-    sandbox_config = SandboxConfig(
-        base_container_image=base_container_image,
-        use_host_network=False,
-        timeout=1800,  # Longer timeout than default (300)
-        api_key=os.environ.get('ALLHANDS_API_KEY'),
-        remote_runtime_api_url=os.environ.get(
-            'SANDBOX_REMOTE_RUNTIME_API_URL', 'http://localhost:8000'
+    return OpenHandsConfig(
+        run_as_openhands=False,
+        runtime=os.environ.get('RUNTIME', 'eventstream'),
+        sandbox=SandboxConfig(
+            base_container_image=base_container_image,
+            use_host_network=False,
+            timeout=1800,
+            api_key=os.environ.get('ALLHANDS_API_KEY'),
+            remote_runtime_api_url=os.environ.get(
+                'SANDBOX_REMOTE_RUNTIME_API_URL', 'http://localhost:8000'
+            ),
         ),
-    )
-
-    return get_openhands_config_for_eval(
-        sandbox_config=sandbox_config,
-        runtime=os.environ.get('RUNTIME', 'docker'),  # Different default runtime
+        workspace_base=None,
+        workspace_mount_path=None,
     )
 
 

evaluation/benchmarks/testgeneval/run_infer.py

@@ -25,7 +25,6 @@ from evaluation.utils.shared import (
     assert_and_raise,
     codeact_user_response,
     get_metrics,
-    get_openhands_config_for_eval,
     is_fatal_evaluation_error,
     make_metadata,
     prepare_dataset,
@@ -127,26 +126,29 @@ def get_config(
         f'Submit an issue on https://github.com/All-Hands-AI/OpenHands if you run into any issues.'
     )
 
-    sandbox_config = SandboxConfig(
-        base_container_image=base_container_image,
-        enable_auto_lint=True,
-        use_host_network=False,
-        # large enough timeout, since some testcases take very long to run
-        timeout=300,
-        # Add platform to the sandbox config to solve issue 4401
-        platform='linux/amd64',
-        api_key=os.environ.get('ALLHANDS_API_KEY', None),
-        remote_runtime_api_url=os.environ.get(
-            'SANDBOX_REMOTE_RUNTIME_API_URL', 'http://localhost:8000'
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
+        max_iterations=metadata.max_iterations,
+        runtime=os.environ.get('RUNTIME', 'eventstream'),
+        sandbox=SandboxConfig(
+            base_container_image=base_container_image,
+            enable_auto_lint=True,
+            use_host_network=False,
+            # large enough timeout, since some testcases take very long to run
+            timeout=300,
+            # Add platform to the sandbox config to solve issue 4401
+            platform='linux/amd64',
+            api_key=os.environ.get('ALLHANDS_API_KEY', None),
+            remote_runtime_api_url=os.environ.get(
+                'SANDBOX_REMOTE_RUNTIME_API_URL', 'http://localhost:8000'
+            ),
+            keep_runtime_alive=False,
+            remote_runtime_init_timeout=3600,
         ),
-        keep_runtime_alive=False,
-        remote_runtime_init_timeout=3600,
-    )
-
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
-        sandbox_config=sandbox_config,
-        runtime=os.environ.get('RUNTIME', 'docker'),
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(
         update_llm_config_for_completions_logging(

evaluation/benchmarks/the_agent_company/run_infer.py

@@ -12,10 +12,7 @@ import tempfile
 import yaml
 from browsing import pre_login
 
-from evaluation.utils.shared import (
-    get_default_sandbox_config_for_eval,
-    get_openhands_config_for_eval,
-)
+from evaluation.utils.shared import get_default_sandbox_config_for_eval
 from openhands.controller.state.state import State
 from openhands.core.config import (
     LLMConfig,
@@ -45,17 +42,19 @@ def get_config(
     sandbox_config.enable_auto_lint = True
     # If the web services are running on the host machine, this must be set to True
     sandbox_config.use_host_network = True
-    config = get_openhands_config_for_eval(
+    config = OpenHandsConfig(
+        run_as_openhands=False,
+        max_budget_per_task=4,
         max_iterations=100,
+        save_trajectory_path=os.path.join(
+            mount_path_on_host, f'traj_{task_short_name}.json'
+        ),
+        sandbox=sandbox_config,
         # we mount trajectories path so that trajectories, generated by OpenHands
         # controller, can be accessible to the evaluator file in the runtime container
-        sandbox_config=sandbox_config,
         workspace_mount_path=mount_path_on_host,
+        workspace_mount_path_in_sandbox='/outputs',
     )
-    config.save_trajectory_path = os.path.join(
-        mount_path_on_host, f'traj_{task_short_name}.json'
-    )
-    config.max_budget_per_task = 4
     config.set_llm_config(llm_config)
     if agent_config:
         config.set_agent_config(agent_config)

evaluation/benchmarks/toolqa/run_infer.py

@@ -11,8 +11,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -45,10 +43,15 @@ def get_config(
 ) -> OpenHandsConfig:
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.base_container_image = 'python:3.12-bookworm'
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
@@ -131,7 +134,7 @@ def process_instance(instance: Any, metadata: EvalMetadata, reset_logger: bool =
     correct = eval_answer(str(model_answer_raw), str(answer))
     logger.info(f'Final message: {model_answer_raw} | Correctness: {correct}')
 
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
 
     # history is now available as a stream of events, rather than list of pairs of (Action, Observation)
     # for compatibility with the existing output format, we can remake the pairs here

evaluation/benchmarks/visual_swe_bench/run_infer.py

@@ -20,7 +20,6 @@ from evaluation.utils.shared import (
     codeact_user_response,
     get_default_sandbox_config_for_eval,
     get_metrics,
-    get_openhands_config_for_eval,
     is_fatal_evaluation_error,
     make_metadata,
     prepare_dataset,
@@ -161,11 +160,16 @@ def get_config(
         instance_id=instance['instance_id'],
     )
 
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
+        max_iterations=metadata.max_iterations,
         enable_browser=RUN_WITH_BROWSING,
         runtime=os.environ.get('RUNTIME', 'docker'),
-        sandbox_config=sandbox_config,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(
         update_llm_config_for_completions_logging(

evaluation/benchmarks/visualwebarena/run_infer.py

@@ -12,8 +12,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -74,10 +72,16 @@ def get_config(
         'VWA_WIKIPEDIA': f'{base_url}:8888',
         'VWA_HOMEPAGE': f'{base_url}:4399',
     }
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
+        attach_to_existing=True,
     )
     config.set_llm_config(
         update_llm_config_for_completions_logging(
@@ -175,7 +179,7 @@ def process_instance(
     if state is None:
         raise ValueError('State should not be None.')
 
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
 
     # Instruction obtained from the first message from the USER
     instruction = ''

evaluation/benchmarks/webarena/run_infer.py

@@ -12,8 +12,6 @@ from evaluation.utils.shared import (
     EvalOutput,
     compatibility_for_eval_history_pairs,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -66,10 +64,15 @@ def get_config(
         'MAP': f'{base_url}:3000',
         'HOMEPAGE': f'{base_url}:4399',
     }
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime='docker',
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
     )
     config.set_llm_config(metadata.llm_config)
     agent_config = config.get_agent_config(metadata.agent_class)
@@ -160,7 +163,7 @@ def process_instance(
     if state is None:
         raise ValueError('State should not be None.')
 
-    metrics = get_metrics(state)
+    metrics = state.metrics.get() if state.metrics else None
 
     # Instruction is the first message from the USER
     instruction = ''

evaluation/integration_tests/run_infer.py

@@ -9,8 +9,6 @@ from evaluation.utils.shared import (
     EvalMetadata,
     EvalOutput,
     get_default_sandbox_config_for_eval,
-    get_metrics,
-    get_openhands_config_for_eval,
     make_metadata,
     prepare_dataset,
     reset_logger_for_multiprocessing,
@@ -46,12 +44,18 @@ def get_config(
 ) -> OpenHandsConfig:
     sandbox_config = get_default_sandbox_config_for_eval()
     sandbox_config.platform = 'linux/amd64'
-    config = get_openhands_config_for_eval(
-        metadata=metadata,
+    config = OpenHandsConfig(
+        default_agent=metadata.agent_class,
+        run_as_openhands=False,
         runtime=os.environ.get('RUNTIME', 'docker'),
-        sandbox_config=sandbox_config,
+        max_iterations=metadata.max_iterations,
+        sandbox=sandbox_config,
+        # do not mount workspace
+        workspace_base=None,
+        workspace_mount_path=None,
+        # debug
+        debug=True,
     )
-    config.debug = True
     config.set_llm_config(
         update_llm_config_for_completions_logging(
             metadata.llm_config, metadata.eval_output_dir, instance_id
@@ -131,7 +135,7 @@ def process_instance(
         assert len(histories) > 0, 'History should not be empty'
 
         test_result: TestResult = test_class.verify_result(runtime, histories)
-        metrics = get_metrics(state)
+        metrics = state.metrics.get() if state.metrics else None
     finally:
         runtime.close()
 

evaluation/regression/.gitignore

@@ -0,0 +1,2 @@
+node_modules
+outputs

evaluation/regression/README.md

@@ -0,0 +1,70 @@
+# OpenHands - Regression Test Framework
+
+OpenHands project is an open-source software engineering AI that can solve various software engineering tasks. This repository contains the regression test framework for OpenHands project.
+
+## Running the Tests
+
+To run the tests for OpenHands project, you can use the provided test runner script. Follow these steps:
+
+1. Ensure you have Python 3.6 or higher installed on your system.
+2. Install the required dependencies by running the following command in your terminal:
+   ```
+   pip install -r requirements.txt
+   ```
+3. Navigate to the root directory of the project.
+4. Run the test suite using the test runner script with the required arguments:
+   ```
+   python evaluation/regression/run_tests.py --OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxx --model=gpt-4o
+   ```
+   Replace `sk-xxxxxxxxxxxxxxxxxxxxxx` with your actual OpenAI API key. The default model is `gpt-4o`, but you can specify a different model if needed.
+
+The test runner will discover and execute all the test cases in the `cases/` directory, and display the results of the test suite, including the status of each individual test case and the overall summary.
+
+## Test Case Structure
+
+The test cases for OpenHands project are organized in the `cases/` directory. Each test case has the following structure:
+
+```
+cases/
+├── hello-world/
+│   ├── task.txt
+│   ├── outputs/
+│   │   └── codeact_agent/
+│   │       └── workspace/
+│   │           ├── hello_world.sh
+│   └── test_hello_world.py
+├── create_web_app/
+│   ├── task.txt
+│   ├── outputs/
+│   │   └── codeact_agent/
+│   │       └── workspace/
+│   │           ├── app.py
+│   │           ├── requirements.txt
+│   │           ├── static/
+│   │           └── templates/
+│   └── test_create_web_app.py
+└── ...
+```
+
+- `task.txt`: This file contains the task description provided by the user.
+- `outputs/`: This directory contains the output generated by OpenHands for each agent.
+- `outputs/*/workspace/`: This directory contains the actual output files generated by OpenHands.
+- `test_*.py`: These are the test scripts that validate the output of OpenHands.
+
+## Adding New Test Cases
+
+To add a new test case to the regression test framework, follow the same steps as described in the previous sections.
+
+## Customizing the Test Cases
+
+The test cases can be customized by modifying the fixtures defined in the `conftest.py` file. The available fixtures are:
+
+- `test_cases_dir`: The directory containing the test cases.
+- `task_file`: The path to the `task.txt` file for the current test case.
+- `workspace_dir`: The path to the `workspace/` directory for the current test case.
+- `model`: The model selected start the generation.
+- `run_test_case`: A fixture that runs OpenHands and generates the workspace for the current test case.
+
+You can modify these fixtures to change the behavior of the test cases or add new ones as needed.
+
+If you have any questions or need further assistance, feel free to reach out to the project maintainers.

evaluation/regression/cases/client-server/task.txt

@@ -0,0 +1 @@
+Write an API server in node express which responds with a random number, and a frontend in React that displays the next number from the API

evaluation/regression/cases/express/task.txt

@@ -0,0 +1 @@
+Write a simple hello world server in node Express

evaluation/regression/cases/hello-name/start/hello_world.sh

@@ -0,0 +1,2 @@
+#!/usr/bin/env bash
+echo "hello world"

evaluation/regression/cases/hello-name/task.txt

@@ -0,0 +1 @@
+Rewrite the script so that it prints the user's name, using the first argument. If there's no name, default to "world"

evaluation/regression/cases/hello-world/task.txt

@@ -0,0 +1 @@
+Write a bash script named "hello_world.sh" that prints "Hello, World!"

evaluation/regression/cases/hello-world/test_hello_world.py

@@ -0,0 +1,20 @@
+import os
+
+import pytest
+from conftest import agents
+
+
+@pytest.mark.parametrize('agent', agents())
+def test_hello_world(task_file, run_test_case, agent):
+    """Test case for the "Hello, World!" Bash script using different agents."""
+    # Run the test case for the specified agent
+    workspace_dir = run_test_case(agent, 'hello-world')
+
+    # Validate the generated workspace
+    assert os.path.exists(workspace_dir)
+    assert os.path.isfile(os.path.join(workspace_dir, 'hello_world.sh'))
+
+    # Execute the hello_world.sh script
+    os.chdir(workspace_dir)
+    output = os.popen('bash hello_world.sh').read()
+    assert output == 'Hello, World!\n'

evaluation/regression/cases/node-cli-rewrite/start/commands/length.py

@@ -0,0 +1,2 @@
+def string_length(s):
+    return len(s)

evaluation/regression/cases/node-cli-rewrite/start/commands/lowercase.py

@@ -0,0 +1,2 @@
+def to_lowercase(s):
+    return s.lower()

evaluation/regression/cases/node-cli-rewrite/start/commands/reverse.py

@@ -0,0 +1,2 @@
+def reverse_string(s):
+    return s[::-1]

evaluation/regression/cases/node-cli-rewrite/start/commands/scramble.py

@@ -0,0 +1,7 @@
+import random
+
+
+def scramble_string(s):
+    s_list = list(s)
+    random.shuffle(s_list)
+    return ''.join(s_list)

evaluation/regression/cases/node-cli-rewrite/start/commands/spongebob.py

@@ -0,0 +1,8 @@
+def spongebob_case(s):
+    result = ''
+    for i, char in enumerate(s):
+        if i % 2 == 0:
+            result += char.lower()
+        else:
+            result += char.upper()
+    return result

evaluation/regression/cases/node-cli-rewrite/start/commands/uppercase.py

@@ -0,0 +1,2 @@
+def to_uppercase(s):
+    return s.upper()

evaluation/regression/cases/node-cli-rewrite/start/string_cli.py

@@ -0,0 +1,55 @@
+import sys
+
+
+def print_help():
+    help_text = """
+Usage: python string_cli.py <command> <string>
+
+Commands:
+    reverse - Reverses the input string.
+    uppercase - Converts the input string to uppercase.
+    lowercase - Converts the input string to lowercase.
+    spongebob - Converts the input string to spongebob case.
+    length - Returns the length of the input string.
+    scramble - Randomly scrambles the characters in the input string.
+"""
+    print(help_text)
+
+
+if __name__ == '__main__':
+    if len(sys.argv) == 2 and sys.argv[1] == '--help':
+        print_help()
+        sys.exit(0)
+    elif len(sys.argv) < 3:
+        print('Usage: python string_cli.py <command> <string>')
+        sys.exit(1)
+
+    command = sys.argv[1]
+    input_string = sys.argv[2]
+
+    if command == 'reverse':
+        from commands.reverse import reverse_string
+
+        print(reverse_string(input_string))
+    elif command == 'uppercase':
+        from commands.uppercase import to_uppercase
+
+        print(to_uppercase(input_string))
+    elif command == 'lowercase':
+        from commands.lowercase import to_lowercase
+
+        print(to_lowercase(input_string))
+    elif command == 'spongebob':
+        from commands.spongebob import spongebob_case
+
+        print(spongebob_case(input_string))
+    elif command == 'length':
+        from commands.length import string_length
+
+        print(string_length(input_string))
+    elif command == 'scramble':
+        from commands.scramble import scramble_string
+
+        print(scramble_string(input_string))
+    else:
+        print('Invalid command!')

evaluation/regression/cases/node-cli-rewrite/task.txt

@@ -0,0 +1 @@
+Please rewrite the entire CLI in node.js

evaluation/regression/cases/python-cli-help/start/commands/length.py

@@ -0,0 +1,2 @@
+def string_length(s):
+    return len(s)

evaluation/regression/cases/python-cli-help/start/commands/lowercase.py

@@ -0,0 +1,2 @@
+def to_lowercase(s):
+    return s.lower()

evaluation/regression/cases/python-cli-help/start/commands/reverse.py

@@ -0,0 +1,2 @@
+def reverse_string(s):
+    return s[::-1]

evaluation/regression/cases/python-cli-help/start/commands/scramble.py

@@ -0,0 +1,7 @@
+import random
+
+
+def scramble_string(s):
+    s_list = list(s)
+    random.shuffle(s_list)
+    return ''.join(s_list)

evaluation/regression/cases/python-cli-help/start/commands/spongebob.py

@@ -0,0 +1,8 @@
+def spongebob_case(s):
+    result = ''
+    for i, char in enumerate(s):
+        if i % 2 == 0:
+            result += char.lower()
+        else:
+            result += char.upper()
+    return result

evaluation/regression/cases/python-cli-help/start/commands/uppercase.py

@@ -0,0 +1,2 @@
+def to_uppercase(s):
+    return s.upper()

evaluation/regression/cases/python-cli-help/start/string_cli.py

@@ -0,0 +1,36 @@
+import sys
+
+if __name__ == '__main__':
+    if len(sys.argv) < 3:
+        print('Usage: python string_cli.py <command> <string>')
+        sys.exit(1)
+
+    command = sys.argv[1]
+    input_string = sys.argv[2]
+
+    if command == 'reverse':
+        from commands.reverse import reverse_string
+
+        print(reverse_string(input_string))
+    elif command == 'uppercase':
+        from commands.uppercase import to_uppercase
+
+        print(to_uppercase(input_string))
+    elif command == 'lowercase':
+        from commands.lowercase import to_lowercase
+
+        print(to_lowercase(input_string))
+    elif command == 'spongebob':
+        from commands.spongebob import spongebob_case
+
+        print(spongebob_case(input_string))
+    elif command == 'length':
+        from commands.length import string_length
+
+        print(string_length(input_string))
+    elif command == 'scramble':
+        from commands.scramble import scramble_string
+
+        print(scramble_string(input_string))
+    else:
+        print('Invalid command!')

evaluation/regression/cases/python-cli-help/task.txt

@@ -0,0 +1 @@
+Please add a --help option to the CLI, with a detailed description of each command

evaluation/regression/cases/python-cli/task.txt

@@ -0,0 +1 @@
+Write a python CLI for string manipulation. The CLI should accept a command, and a string. The commands should include `reverse`, `uppercase`, `lowercase`, `spongebob`, `length`, and `scramble`. The logic for each command should live in its own file.