---
title: ai-prompt-decorator
keywords:
  - Apache APISIX
  - API Gateway
  - Plugin
  - ai-prompt-decorator
description: This document contains information about the Apache APISIX ai-prompt-decorator Plugin.
---

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## Description

The `ai-prompt-decorator` plugin simplifies access to LLM providers, such as OpenAI and Anthropic, and their models by appending or prepending prompts into the request.

## Plugin Attributes

| **Field**         | **Required**    | **Type** | **Description**                                     |
| ----------------- | --------------- | -------- | --------------------------------------------------- |
| `prepend`         | Conditionally\* | Array    | An array of prompt objects to be prepended          |
| `prepend.role`    | Yes             | String   | Role of the message (`system`, `user`, `assistant`) |
| `prepend.content` | Yes             | String   | Content of the message. Minimum length: 1           |
| `append`          | Conditionally\* | Array    | An array of prompt objects to be appended           |
| `append.role`     | Yes             | String   | Role of the message (`system`, `user`, `assistant`) |
| `append.content`  | Yes             | String   | Content of the message. Minimum length: 1           |

\* **Conditionally Required**: At least one of `prepend` or `append` must be provided.

## Example usage

Create a route with the `ai-prompt-decorator` plugin like so:

```shell
curl "http://127.0.0.1:9180/apisix/admin/routes/1" -X PUT \
  -H "X-API-KEY: ${ADMIN_API_KEY}" \
  -d '{
    "uri": "/v1/chat/completions",
    "plugins": {
      "ai-prompt-decorator": {
        "prepend":[
          {
            "role": "system",
            "content": "I have exams tomorrow so explain conceptually and briefly"
          }
        ],
        "append":[
          {
            "role": "system",
            "content": "End the response with an analogy."
          }
        ]
      }
    },
    "upstream": {
      "type": "roundrobin",
      "nodes": {
        "api.openai.com:443": 1
      },
      "pass_host": "node",
      "scheme": "https"
    }
  }'
```

Now send a request:

```shell
curl http://127.0.0.1:9080/v1/chat/completions -i -XPOST  -H 'Content-Type: application/json' -d '{
  "model": "gpt-4",
  "messages": [{ "role": "user", "content": "What is TLS Handshake?" }]
}' -H "Authorization: Bearer <your token here>"
```

Then the request body will be modified to something like this:

```json
{
  "model": "gpt-4",
  "messages": [
    {
      "role": "system",
      "content": "I have exams tomorrow so explain conceptually and briefly"
    },
    { "role": "user", "content": "What is TLS Handshake?" },
    {
      "role": "system",
      "content": "End the response with an analogy."
    }
  ]
}
```