kayx23 commented on code in PR #12036: URL: https://github.com/apache/apisix/pull/12036#discussion_r2000465330
########## docs/en/latest/plugins/ai-request-rewrite.md: ########## @@ -0,0 +1,167 @@ +--- +title: ai-request-rewrite +keywords: + - Apache APISIX + - AI Gateway + - Plugin + - ai-request-rewrite +description: The ai-request-rewrite plugin intercepts client requests before they are forwarded to the upstream service. It sends a predefined prompt, along with the original request body, to a specified LLM service. The LLM processes the input and returns a modified request body, which is then used for the upstream request. This allows dynamic transformation of API requests based on AI-generated content. +--- + +<!-- +# +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +--> + +## Description + +The `ai-request-rewrite` plugin intercepts client requests before they are forwarded to the upstream service. It sends a predefined prompt, along with the original request body, to a specified LLM service. The LLM processes the input and returns a modified request body, which is then used for the upstream request. This allows dynamic transformation of API requests based on AI-generated content. + +## Plugin Attributes + +| **Field** | **Required** | **Type** | **Description** | +| ------------------------- | ------------ | -------- | ------------------------------------------------------------------------------------ | +| prompt | Yes | String | The prompt send to LLM service. | +| provider | Yes | String | Name of the LLM service. Available options: openai, deekseek and openai-compatible | +| auth | Yes | Object | Authentication configuration | +| auth.header | No | Object | Authentication headers. Key must match pattern `^[a-zA-Z0-9._-]+$`. | +| auth.query | No | Object | Authentication query parameters. Key must match pattern `^[a-zA-Z0-9._-]+$`. | +| options | No | Object | Key/value settings for the model | +| options.model | No | String | Model to execute. Examples: "gpt-3.5-turbo" for openai, "deepseek-chat" for deekseek, or "qwen-turbo" for openai-compatible services | +| override.endpoint | No | String | Override the default endpoint when using OpenAI-compatible services (e.g., self-hosted models or third-party LLM services) | +| timeout | No | Integer | Total timeout in milliseconds for requests to LLM service, including connect, send, and read timeouts. Range: 1 - 60000. Default: 3000| +| keepalive | No | Boolean | Enable keepalive for requests to LLM service. Default: true | +| keepalive_timeout | No | Integer | Keepalive timeout in milliseconds for requests to LLM service. Minimum: 1000. Default: 60000 | +| keepalive_pool | No | Integer | Keepalive pool size for requests to LLM service. Minimum: 1. Default: 30 | +| ssl_verify | No | Boolean | SSL verification for requests to LLM service. Default: true | + +## How it works + + + +## Example usage Review Comment: ```suggestion ## Examples The examples below demonstrate how you can configure `ai-request-rewrite` for different scenarios. :::note You can fetch the admin_key from config.yaml and save to an environment variable with the following command: admin_key=$(yq '.deployment.admin.admin_key[0].key' conf/config.yaml | sed 's/"//g') ::: ### Redact sensitive information ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
