---
title: "Custom Framework Configuration"
description: "How to configure and customize OpenSWE for custom libraries"
---

Open SWE includes support for LangGraph development through the **LangGraph Engineer** toggle. This feature adds framework-specific prompts and MCP tools for building LangGraph agents and workflows.

You can use a similar approach to build your own customization.

## LangGraph Engineer Configuration

### Setting Configuration in the UI

Enabling the **LangGraph Engineer** toggle in the main input area adds specific LangGraph prompts and allows LangGraph documentation access.

This sets the following configuration:

```typescript
const config = {
  configurable: {
    customFramework: true
  }
}
```

## How Custom Framework Configuration Works

The configuration is passed to all agent nodes and used to conditionally include specialized prompts:

```typescript
// In prompt formatting functions
.replace(
  "{CUSTOM_FRAMEWORK_PROMPT}",
  shouldUseCustomFramework(config) ? CUSTOM_FRAMEWORK_PROMPT : "",
)
```

The `shouldUseCustomFramework(config)` function checks if `config.configurable?.customFramework === true`.

## Custom Framework Files

When `customFramework` is `true`, we inject a series of custom prompts and tools into the agent. The table below shows every place in the codebase that needs updating if you're customizing it for a framework other than LangGraph.

### Prompt Files

| Component | File | Prompt Constant | Description |
|-----------|------|-----------------|-------------|
| Planner | [prompt.ts](https://github.com/langchain-ai/open-swe/tree/main/apps/open-swe/src/graphs/planner/nodes/generate-message/prompt.ts) | `EXTERNAL_FRAMEWORK_DOCUMENTATION_PROMPT` | Adds framework documentation access instructions |
| Planner | [prompt.ts](https://github.com/langchain-ai/open-swe/tree/main/apps/open-swe/src/graphs/planner/nodes/generate-message/prompt.ts) | `EXTERNAL_FRAMEWORK_PLAN_PROMPT` | Provides framework-specific planning requirements |
| Programmer | [prompt.ts](https://github.com/langchain-ai/open-swe/tree/main/apps/open-swe/src/graphs/programmer/nodes/generate-message/prompt.ts) | `CUSTOM_FRAMEWORK_PROMPT` | Comprehensive framework implementation patterns and best practices |
| Reviewer | [prompt.ts](https://github.com/langchain-ai/open-swe/tree/main/apps/open-swe/src/graphs/reviewer/nodes/generate-review-actions/prompt.ts) | `CUSTOM_FRAMEWORK_PROMPT` | Framework validation and testing requirements |

### Agent & UI Configuration Files

| Component | File | Description |
|-----------|------|-------------|
| Toggle Button | [default-view.tsx](https://github.com/langchain-ai/open-swe/tree/main/apps/web/src/components/v2/default-view.tsx) | Contains the LangGraph Engineer toggle button - modify this to add your own button or change the existing one |
| Framework Logic | [should-use-custom-framework.ts](https://github.com/langchain-ai/open-swe/tree/main/apps/open-swe/src/utils/should-use-custom-framework.ts) | Logic function that determines when to enable custom framework features. Currently a boolean based on the UI toggle |
| Documentation | [constants.ts](https://github.com/langchain-ai/open-swe/tree/main/packages/shared/src/constants.ts) | MCP server configuration for framework documentation access |


## Customizing for Your Own Framework

Follow these steps to adapt Open SWE for your own framework:

### Modify Prompt Constants

1. **Update prompt files** from the table above to replace LangGraph-specific content:
   - Replace `CUSTOM_FRAMEWORK_PROMPT` with your framework's patterns
   - Update `EXTERNAL_FRAMEWORK_DOCUMENTATION_PROMPT` with your docs access instructions
   - Modify `EXTERNAL_FRAMEWORK_PLAN_PROMPT` with your planning requirements

### Update UI Configuration

1. **Modify the toggle button** in [`default-view.tsx`](https://github.com/langchain-ai/open-swe/tree/main/apps/web/src/components/v2/default-view.tsx):
   - Change button text from "LangGraph Engineer" to your framework name
   - Update tooltip text and descriptions

2. **Optional**: Create a new toggle button for your framework while keeping the LangGraph one

### Configure Framework Logic

You can either:

- **Reuse the existing `customFramework: true` configuration** and modify the prompts to match your framework instead of LangGraph (no additional code changes needed)
- **Create a separate config variable** by adding a new field in your graph configuration (e.g., `yourFramework: true`) and adding the detection logic similar to [`should-use-custom-framework.ts`](https://github.com/langchain-ai/open-swe/tree/main/apps/open-swe/src/utils/should-use-custom-framework.ts)

### Add Documentation Access

1. **Configure MCP servers** in [`constants.ts`](https://github.com/langchain-ai/open-swe/tree/main/packages/shared/src/constants.ts):
   ```typescript
   export const DEFAULT_MCP_SERVERS = {
     "your-framework-docs-mcp": {
       command: "uvx",
       args: ["your-framework-docs-mcp"],
     },
   };
   ```

### Build and Test

1. **Rebuild the application**:
   ```bash
   cd apps/open-swe
   yarn build
   ```

2. **Test your customization** by enabling the toggle and verifying framework-specific prompts are used