nic-6443 commented on code in PR #13186: URL: https://github.com/apache/apisix/pull/13186#discussion_r3056377964
########## apisix/plugins/ai-protocols/openai-responses.lua: ########## @@ -0,0 +1,315 @@ +-- +-- 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. +-- + +--- OpenAI Responses API protocol adapter. +-- Handles the Responses API format with its different SSE event model +-- and response structure (output[] instead of choices[]). + +local core = require("apisix.core") +local uuid = require("resty.jit-uuid") +local sse = require("apisix.plugins.ai-transport.sse") +local type = type +local ipairs = ipairs +local table = table +local string_sub = string.sub + +local _M = {} + + +--- Detect whether the request matches OpenAI Responses API format. +-- Requires URI suffix (/v1/responses) and body (has input field). +function _M.matches(body, ctx) + local uri = ctx.var and ctx.var.uri + return uri and string_sub(uri, -13) == "/v1/responses" + and type(body) == "table" and body.input ~= nil +end + + +--- Check whether the request is a streaming request. +function _M.is_streaming(body) + return body.stream == true +end + + + +function _M.parse_sse_event(event, ctx, state) + if event.type == "response.output_text.delta" then + local data, err = core.json.decode(event.data) + if not data then + core.log.warn("failed to decode SSE data: ", err) + return { type = "skip" } + end + if type(data.delta) == "string" then + return { + type = "delta", + texts = { data.delta }, + } + end + return { type = "skip" } + + elseif event.type == "response.completed" then + local result = { type = "done" } + local data, err = core.json.decode(event.data) + if not data then + core.log.warn("failed to decode response.completed SSE data: ", err) + return result + end + if type(data.response) == "table" + and type(data.response.usage) == "table" then + local usage = data.response.usage + result.type = "usage_and_done" + result.usage = { + prompt_tokens = usage.input_tokens or 0, + completion_tokens = usage.output_tokens or 0, + total_tokens = usage.total_tokens or 0, + } + result.raw_usage = usage + end + return result + + elseif event.type == "response.failed" + or event.type == "response.incomplete" + or event.type == "error" then + return { type = "done" } + end + + -- All other Responses API events are silently passed through + return { type = "skip" } +end + + +function _M.extract_response_text(res_body) + if type(res_body.output) ~= "table" then + return nil + end + local texts = {} + for _, item in ipairs(res_body.output) do + if type(item) == "table" and item.type == "message" + and type(item.content) == "table" then + for _, part in ipairs(item.content) do + if part.type == "output_text" and type(part.text) == "string" then + core.table.insert(texts, part.text) + end + end + end + end + if #texts > 0 then + return table.concat(texts, " ") + end + return nil +end + + +--- Build a non-streaming request from system prompt and user content. +function _M.build_simple_request(system_prompt, user_content, opts) + local body = { + input = user_content, + stream = false, + } + if system_prompt then + body.instructions = system_prompt + end + if opts and opts.model then + body.model = opts.model + end + return body +end + + +function _M.extract_usage(res_body) + if type(res_body) ~= "table" or type(res_body.usage) ~= "table" then + return nil, nil + end + local raw = res_body.usage + -- Responses API uses input_tokens / output_tokens + local prompt = raw.input_tokens or 0 + local completion = raw.output_tokens or 0 + return { + prompt_tokens = prompt, + completion_tokens = completion, + total_tokens = raw.total_tokens or (prompt + completion), + }, raw +end + + +--- Extract all text content from a request body for moderation. +function _M.extract_request_content(body) + local contents = {} + local input = body.input + if type(input) == "string" then + core.table.insert(contents, input) + elseif type(input) == "table" then + for _, item in ipairs(input) do + if type(item) == "string" then + core.table.insert(contents, item) + elseif type(item) == "table" and item.content then + if type(item.content) == "string" then + core.table.insert(contents, item.content) + elseif type(item.content) == "table" then + for _, part in ipairs(item.content) do + if type(part) == "table" and part.text then + core.table.insert(contents, part.text) + end + end + end + end + end + end + if body.instructions then + core.table.insert(contents, body.instructions) + end + return contents +end + + +--- Get messages in canonical {role, content} format. +-- Converts instructions + input into messages-style list. +function _M.get_messages(body) + local messages = {} + if type(body.instructions) == "string" then + core.table.insert(messages, {role = "system", content = body.instructions}) + end + local input = body.input + if type(input) == "string" then + core.table.insert(messages, {role = "user", content = input}) + elseif type(input) == "table" then + for _, item in ipairs(input) do + if type(item) == "string" then + core.table.insert(messages, {role = "user", content = item}) + elseif type(item) == "table" then + local role = item.role or "user" + local content = item.content or item.text + if type(content) == "string" then + core.table.insert(messages, {role = role, content = content}) + end + end + end + end + return messages Review Comment: Good observation. Note that `ai-prompt-guard` actually skips `get_content_to_check` entirely for the Response API (see the `ai-prompt-guard.lua` change in this PR — it checks the protocol and uses direct `input`/`instructions` field inspection instead). For content moderation, `extract_request_content()` (line 145) does handle table content by flattening `part.text` fields. So this is not a bypass risk in practice. The `get_messages()` function is primarily used by `ai-prompt-decorator` where the input structure is simpler. Matches gateway implementation. -- 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]
