apisix/plugins/ai-rag/embeddings/azure_openai.lua (59 lines of code) (raw):
--
-- 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 HTTP_INTERNAL_SERVER_ERROR = ngx.HTTP_INTERNAL_SERVER_ERROR
local HTTP_OK = ngx.HTTP_OK
local type = type
local _M = {}
_M.schema = {
type = "object",
properties = {
endpoint = {
type = "string",
},
api_key = {
type = "string",
},
},
required = { "endpoint", "api_key" }
}
function _M.get_embeddings(conf, body, httpc)
local body_tab, err = core.json.encode(body)
if not body_tab then
return nil, HTTP_INTERNAL_SERVER_ERROR, err
end
local res, err = httpc:request_uri(conf.endpoint, {
method = "POST",
headers = {
["Content-Type"] = "application/json",
["api-key"] = conf.api_key,
},
body = body_tab
})
if not res or not res.body then
return nil, HTTP_INTERNAL_SERVER_ERROR, err
end
if res.status ~= HTTP_OK then
return nil, res.status, res.body
end
local res_tab, err = core.json.decode(res.body)
if not res_tab then
return nil, HTTP_INTERNAL_SERVER_ERROR, err
end
if type(res_tab.data) ~= "table" or core.table.isempty(res_tab.data) then
return nil, HTTP_INTERNAL_SERVER_ERROR, res.body
end
local embeddings, err = core.json.encode(res_tab.data[1].embedding)
if not embeddings then
return nil, HTTP_INTERNAL_SERVER_ERROR, err
end
return res_tab.data[1].embedding
end
_M.request_schema = {
type = "object",
properties = {
input = {
type = "string"
}
},
required = { "input" }
}
return _M