Copilot commented on code in PR #13186: URL: https://github.com/apache/apisix/pull/13186#discussion_r3056325226
########## 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 +end + + +--- Prepend messages to the request body. +-- System messages go to instructions; user messages prepend to input. +function _M.prepend_messages(body, msgs) + if not msgs or #msgs == 0 then return end + local parts = {} + for _, msg in ipairs(msgs) do + core.table.insert(parts, msg.content) + end + local prepend_text = table.concat(parts, "\n") + if type(body.instructions) == "string" then + body.instructions = prepend_text .. "\n" .. body.instructions + else + body.instructions = prepend_text + end +end + + +--- Append messages to the request body. +function _M.append_messages(body, msgs) + if not msgs or #msgs == 0 then return end + local parts = {} + for _, msg in ipairs(msgs) do + core.table.insert(parts, msg.content) + end + local append_text = table.concat(parts, "\n") + if type(body.input) == "string" then + body.input = body.input .. "\n" .. append_text + elseif type(body.input) == "table" then + core.table.insert(body.input, { + type = "message", + role = "user", + content = append_text, + }) + else + body.input = append_text + end +end Review Comment: `append_messages` also ignores the role of appended messages and forces the appended array message role to `"user"` while concatenating all contents together. This can incorrectly turn system messages into user content (or vice versa) and loses message boundaries. Fix by grouping by role and appending system messages into `instructions` (e.g., newline-join) while appending user messages into `input` (string append or push message objects), preserving each message’s role where possible. ########## 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) Review Comment: The new Responses `get_messages()` behavior is central to `ai-prompt-guard` enforcement, but current tests only cover `input` as a string or as an array with `content` as a string. Add tests that send Responses-style structured content (e.g., `input` array message with `content` as an array of parts containing `text`) to ensure deny/allow patterns are enforced and can’t be bypassed by switching to multi-part input. ########## 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: `get_messages` only accepts `item.content` when it’s a string; if `item.content` is a table (common in Responses-style multi-part content), it silently drops it. Since `ai-prompt-guard` relies on `protocols.get_messages(...)` for pattern checks, this can allow prohibited content to bypass checks when provided in structured content parts. Align `get_messages` with `extract_request_content` by flattening table parts (e.g., concatenate `part.text` fields) so guard/middleware sees the same text that other extractors see. ########## apisix/plugins/ai-protocols/init.lua: ########## @@ -43,7 +45,7 @@ local detection_order = { --- Detect the client protocol by asking each protocol if it matches. -- @param body table The parsed request body -- @param ctx table The request context --- @return string Protocol name: "openai-chat" | "openai-embeddings" | "anthropic-messages" +-- @return string Protocol name: "openai-chat" | "openai-responses" | "anthropic-messages" Review Comment: This doc comment is now inaccurate: `detect()` can also return `"openai-embeddings"` (it remains in `detection_order`). Update the return list to include `"openai-embeddings"` so the docs match the actual function behavior. ```suggestion -- @return string Protocol name: "openai-chat" | "openai-responses" | "openai-embeddings" | "anthropic-messages" ``` ########## 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 +end + + +--- Prepend messages to the request body. +-- System messages go to instructions; user messages prepend to input. +function _M.prepend_messages(body, msgs) + if not msgs or #msgs == 0 then return end + local parts = {} + for _, msg in ipairs(msgs) do + core.table.insert(parts, msg.content) + end + local prepend_text = table.concat(parts, "\n") + if type(body.instructions) == "string" then + body.instructions = prepend_text .. "\n" .. body.instructions + else + body.instructions = prepend_text + end Review Comment: The implementation contradicts the function comment: it concatenates *all* message contents into `instructions`, ignoring `msg.role`, and never prepends user messages into `body.input`. This can cause user-supplied decorator content to be treated as system instructions (semantic change) and makes `prepend` behavior incorrect for non-system roles. Fix by splitting `msgs` by role (e.g., `system` -> `instructions`, others -> prefix `input` string or unshift into `input` array message list). ```suggestion local instruction_parts = {} local input_parts = {} for _, msg in ipairs(msgs) do if type(msg) == "table" and type(msg.content) == "string" then if msg.role == "system" then core.table.insert(instruction_parts, msg.content) else core.table.insert(input_parts, msg.content) end end end if #instruction_parts > 0 then local prepend_instructions = table.concat(instruction_parts, "\n") if type(body.instructions) == "string" then body.instructions = prepend_instructions .. "\n" .. body.instructions else body.instructions = prepend_instructions end end if #input_parts > 0 then local prepend_input = table.concat(input_parts, "\n") if type(body.input) == "string" then body.input = prepend_input .. "\n" .. body.input elseif type(body.input) == "table" then table.insert(body.input, 1, { type = "message", role = "user", content = prepend_input, }) else body.input = prepend_input end end ``` -- 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]
