### Java
```java
MockResponse response = new MockResponse.Builder()
    .addHeader("Content-Type", "application/json; charset=utf-8")
    .addHeader("Cache-Control", "no-cache")
    .body("{}")
    .build();
```

### Kotlin
```kotlin
val response = MockResponse.Builder()
  .addHeader("Content-Type", "application/json; charset=utf-8")
  .addHeader("Cache-Control", "no-cache")
  .body("{}")
  .build()
```

            "content": {
                "application/json": {
                    "schema": {
                        "$ref": "#/components/schemas/Message"
                    }
                }
            }
        },
        "200": {
            "description": "Successful Response",
            "content": {
                "application/json": {
                    "schema": {

            "content": {
                "application/json": {
                    "schema": {
                        "$ref": "#/components/schemas/Message"
                    }
                }
            }
        },
        "200": {
            "description": "Successful Response",
            "content": {
                "application/json": {
                    "schema": {

            "content": {
                "application/json": {
                    "schema": {
                        "$ref": "#/components/schemas/Message"
                    }
                }
            }
        },
        "200": {
            "description": "Successful Response",
            "content": {
                "application/json": {
                    "schema": {

     */
    @Resource
    protected RelatedContentBhv relatedContentBhv;

    /**
     * Configuration settings for Fess application.
     * Contains various configuration parameters used throughout the application.
     */
    @Resource
    protected FessConfig fessConfig;

    /**
     * Retrieves a paginated list of related content entities.
     *

# CLAUDE.md

This file provides guidance to Claude Code when working with this repository.

## Project Overview

Fess is an Enterprise Search Server built on OpenSearch. It's a Java-based web application that crawls and indexes documents from various sources and provides full-text search capabilities.

## Development Commands

### Setup
```bash
# Download OpenSearch plugins (required before first build)
mvn antrun:run

# Debugging { #debugging }

You can connect the debugger in your editor, for example with Visual Studio Code or PyCharm.

## Call `uvicorn` { #call-uvicorn }

In your FastAPI application, import and run `uvicorn` directly:

{* ../../docs_src/debugging/tutorial001_py39.py hl[1,15] *}

### About `__name__ == "__main__"` { #about-name-main }

                                "content": {"application/json": {"schema": {}}},
                            },
                            "422": {
                                "description": "Validation Error",
                                "content": {
                                    "application/json": {
                                        "schema": {

{* ../../docs_src/behind_a_proxy/tutorial004_py39.py hl[9] *}

and then it won't include it in the OpenAPI schema.

## Mounting a sub-application { #mounting-a-sub-application }

If you need to mount a sub-application (as described in [Sub Applications - Mounts](sub-applications.md){.internal-link target=_blank}) while also using a proxy with `root_path`, you can do it normally, as you would expect.

            "description": "Just kiddin', no magic here. ✨",
        },
    }


@app.post(
    "/items/",
    openapi_extra={
        "requestBody": {
            "content": {
                "application/json": {
                    "schema": {
                        "required": ["name", "price"],
                        "type": "object",
                        "properties": {