feat(apisix): add Cloudron package
- Implements Apache APISIX packaging for Cloudron platform. - Includes Dockerfile, CloudronManifest.json, and start.sh. - Configured to use Cloudron's etcd addon. 🤖 Generated with Gemini CLI Co-Authored-By: Gemini <noreply@google.com>
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--
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-- Licensed to the Apache Software Foundation (ASF) under one or more
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-- contributor license agreements. See the NOTICE file distributed with
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-- this work for additional information regarding copyright ownership.
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-- The ASF licenses this file to You under the Apache License, Version 2.0
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-- (the "License"); you may not use this file except in compliance with
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-- the License. You may obtain a copy of the License at
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--
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-- http://www.apache.org/licenses/LICENSE-2.0
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--
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-- Unless required by applicable law or agreed to in writing, software
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-- distributed under the License is distributed on an "AS IS" BASIS,
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-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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-- See the License for the specific language governing permissions and
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-- limitations under the License.
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--
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local core = require("apisix.core")
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local require = require
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local bad_request = ngx.HTTP_BAD_REQUEST
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local _M = {}
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function _M.before_proxy(conf, ctx)
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local ai_instance = ctx.picked_ai_instance
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local ai_driver = require("apisix.plugins.ai-drivers." .. ai_instance.provider)
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local request_body, err = ai_driver.validate_request(ctx)
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if not request_body then
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return bad_request, err
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end
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local extra_opts = {
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endpoint = core.table.try_read_attr(ai_instance, "override", "endpoint"),
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query_params = ai_instance.auth.query or {},
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headers = (ai_instance.auth.header or {}),
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model_options = ai_instance.options,
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}
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if request_body.stream then
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request_body.stream_options = {
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include_usage = true
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}
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end
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return ai_driver:request(ctx, conf, request_body, extra_opts)
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end
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return _M
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@@ -0,0 +1,219 @@
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--
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-- Licensed to the Apache Software Foundation (ASF) under one or more
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-- contributor license agreements. See the NOTICE file distributed with
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-- this work for additional information regarding copyright ownership.
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-- The ASF licenses this file to You under the Apache License, Version 2.0
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-- (the "License"); you may not use this file except in compliance with
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-- the License. You may obtain a copy of the License at
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--
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-- http://www.apache.org/licenses/LICENSE-2.0
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--
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-- Unless required by applicable law or agreed to in writing, software
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-- distributed under the License is distributed on an "AS IS" BASIS,
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-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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-- See the License for the specific language governing permissions and
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-- limitations under the License.
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--
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local _M = {}
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local auth_item_schema = {
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type = "object",
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patternProperties = {
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["^[a-zA-Z0-9._-]+$"] = {
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type = "string"
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}
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}
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}
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local auth_schema = {
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type = "object",
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patternProperties = {
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header = auth_item_schema,
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query = auth_item_schema,
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},
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additionalProperties = false,
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}
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local model_options_schema = {
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description = "Key/value settings for the model",
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type = "object",
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properties = {
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model = {
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type = "string",
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description = "Model to execute.",
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},
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},
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additionalProperties = true,
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}
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local ai_instance_schema = {
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type = "array",
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minItems = 1,
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items = {
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type = "object",
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properties = {
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name = {
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type = "string",
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minLength = 1,
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maxLength = 100,
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description = "Name of the AI service instance.",
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},
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provider = {
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type = "string",
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description = "Type of the AI service instance.",
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enum = {
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"openai",
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"deepseek",
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"aimlapi",
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"openai-compatible",
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}, -- add more providers later
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},
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priority = {
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type = "integer",
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description = "Priority of the provider for load balancing",
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default = 0,
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},
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weight = {
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type = "integer",
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minimum = 0,
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},
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auth = auth_schema,
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options = model_options_schema,
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override = {
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type = "object",
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properties = {
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endpoint = {
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type = "string",
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description = "To be specified to override the endpoint of the AI Instance",
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},
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},
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},
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},
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required = {"name", "provider", "auth", "weight"}
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},
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}
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_M.ai_proxy_schema = {
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type = "object",
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properties = {
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provider = {
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type = "string",
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description = "Type of the AI service instance.",
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enum = {
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"openai",
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"deepseek",
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"aimlapi",
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"openai-compatible",
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}, -- add more providers later
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},
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auth = auth_schema,
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options = model_options_schema,
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timeout = {
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type = "integer",
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minimum = 1,
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default = 30000,
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description = "timeout in milliseconds",
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},
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keepalive = {type = "boolean", default = true},
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keepalive_timeout = {
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type = "integer",
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minimum = 1000,
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default = 60000,
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description = "keepalive timeout in milliseconds",
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},
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keepalive_pool = {type = "integer", minimum = 1, default = 30},
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ssl_verify = {type = "boolean", default = true },
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override = {
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type = "object",
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properties = {
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endpoint = {
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type = "string",
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description = "To be specified to override the endpoint of the AI Instance",
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},
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},
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},
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},
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required = {"provider", "auth"}
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}
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_M.ai_proxy_multi_schema = {
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type = "object",
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properties = {
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balancer = {
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type = "object",
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properties = {
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algorithm = {
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type = "string",
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enum = { "chash", "roundrobin" },
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},
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hash_on = {
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type = "string",
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default = "vars",
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enum = {
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"vars",
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"header",
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"cookie",
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"consumer",
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"vars_combinations",
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},
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},
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key = {
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description = "the key of chash for dynamic load balancing",
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type = "string",
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},
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},
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default = { algorithm = "roundrobin" }
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},
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instances = ai_instance_schema,
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fallback_strategy = {
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type = "string",
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enum = { "instance_health_and_rate_limiting" },
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default = "instance_health_and_rate_limiting",
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},
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timeout = {
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type = "integer",
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minimum = 1,
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default = 30000,
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description = "timeout in milliseconds",
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},
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keepalive = {type = "boolean", default = true},
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keepalive_timeout = {
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type = "integer",
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minimum = 1000,
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default = 60000,
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description = "keepalive timeout in milliseconds",
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},
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keepalive_pool = {type = "integer", minimum = 1, default = 30},
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ssl_verify = {type = "boolean", default = true },
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},
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required = {"instances"}
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}
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_M.chat_request_schema = {
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type = "object",
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properties = {
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messages = {
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type = "array",
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minItems = 1,
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items = {
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properties = {
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role = {
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type = "string",
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enum = {"system", "user", "assistant"}
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},
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content = {
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type = "string",
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minLength = "1",
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},
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},
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additionalProperties = false,
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required = {"role", "content"},
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},
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}
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},
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required = {"messages"}
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}
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return _M
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