LiteSun commented on code in PR #12036:
URL: https://github.com/apache/apisix/pull/12036#discussion_r1997591579


##########
apisix/plugins/ai-request-rewrite.lua:
##########
@@ -0,0 +1,212 @@
+--
+-- 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.
+--
+local core = require("apisix.core")
+local ngx = ngx
+
+local require = require
+
+local plugin_name = "ai-request-rewrite"
+
+local bad_request = ngx.HTTP_BAD_REQUEST
+local internal_server_error = ngx.HTTP_INTERNAL_SERVER_ERROR
+
+
+local auth_item_schema = {
+    type = "object",
+    patternProperties = {
+        ["^[a-zA-Z0-9._-]+$"] = {
+            type = "string"
+        }
+    }
+}
+
+local auth_schema = {
+    type = "object",
+    properties = {
+        header = auth_item_schema,
+        query = auth_item_schema
+    },
+    additionalProperties = false
+}
+
+local model_options_schema = {
+    description = "Key/value settings for the model",
+    type = "object",
+    properties = {
+        model = {
+            type = "string",
+            description = "Model to execute."
+        }
+    },
+    additionalProperties = true
+}
+
+local schema = {
+    type = "object",
+    properties = {
+        prompt = {
+            type = "string",
+            description = "The prompt to rewrite client request."
+        },
+        provider = {
+            type = "string",
+            description = "Name of the AI service provider.",
+            enum = {"openai", "openai-compatible", "deepseek"} -- add more 
providers later
+        },
+        auth = auth_schema,
+        options = model_options_schema,
+        timeout = {
+            type = "integer",
+            minimum = 1,
+            maximum = 60000,
+            default = 30000,
+            description = "timeout in milliseconds"
+        },
+        keepalive = {
+            type = "boolean",
+            default = true
+        },
+        keepalive_pool = {
+            type = "integer",
+            minimum = 1,
+            default = 30
+        },
+        ssl_verify = {
+            type = "boolean",
+            default = true
+        },
+        override = {
+            type = "object",
+            properties = {
+                endpoint = {
+                    type = "string",
+                    description = "To be specified to override " ..
+                    "the endpoint of the AI service provider."
+                }
+            }
+        }
+    },
+    required = {"prompt", "provider", "auth"}
+}
+
+local _M = {
+    version = 0.1,
+    priority = 1073,
+    name = plugin_name,
+    schema = schema
+}
+
+local function proxy_request_to_llm(conf, request_table, ctx)
+    local ai_driver = require("apisix.plugins.ai-drivers." .. conf.provider)
+
+    local extra_opts = {
+        endpoint = core.table.try_read_attr(conf, "override", "endpoint"),
+        query_params = conf.auth.query or {},
+        headers = (conf.auth.header or {}),
+        model_options = conf.options
+    }
+
+    local res, err, httpc = ai_driver:request(conf, request_table, extra_opts)
+
+    if not res then return nil, err, nil end
+    return res, nil, httpc
+end
+
+
+local function parse_llm_response(res_body)
+    local response_table = core.json.decode(res_body)
+
+    if not response_table then return nil, "failed to decode llm response" end

Review Comment:
   > do we need to log the llm response here?
   
   I believe it may not be necessary, as this function primarily focuses on 
whether the content from the LLM service can be parsed. The error status codes 
have already been handled elsewhere.



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