bzp2010 commented on code in PR #12196:
URL: https://github.com/apache/apisix/pull/12196#discussion_r2097199594


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docs/en/latest/plugins/lago.md:
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+---
+title: lago
+keywords:
+  - Apache APISIX
+  - API Gateway
+  - Plugin
+  - lago
+  - monetization
+  - github.com/getlago/lago
+description: The lago plugin reports usage to a Lago instance, which allows 
users to integrate Lago with APISIX for API monetization.
+---
+
+<!--
+#
+# 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.
+#
+-->
+
+<head>
+  <link rel="canonical" href="https://docs.api7.ai/hub/lago"; />
+</head>
+
+## Description
+
+The `lago` plugin pushes requests and responses to [Lago 
Self-hosted](https://github.com/getlago/lago) and [Lago 
Cloud](https://getlago.com) via the Lago REST API. the plugin allows you to use 
it with a variety of APISIX built-in features, such as the APISIX consumer and 
the request-id plugin.
+
+This allows for API monetization or let APISIX to be an AI gateway for AI 
tokens billing scenarios.
+
+:::disclaimer
+
+Lago owns its trademarks and controls its commercial products and open source 
projects.
+
+The [https://github.com/getlago/lago](https://github.com/getlago/lago) project 
uses the `AGPL-3.0` license instead of the `Apache-2.0` license that is the 
same as Apache APISIX. As a user, you will need to evaluate for yourself 
whether it is applicable to your business to use the project in a compliant way 
or to obtain another type of license from Lago. Apache APISIX community does 
not endorse it.
+
+The plugin does not contain any proprietary code or SDKs from Lago, it is 
contributed by contributors to Apache APISIX and licensed under the 
`Apache-2.0` license, which is in line with any other part of APISIX and you 
don't need to worry about its compliance.
+
+:::
+
+When enabled, the plugin will collect information from the request context 
(e.g. event code, transaction ID, associated subscription ID) as configured and 
serialize them into [Event JSON 
objects](https://getlago.com/docs/api-reference/events/event-object) as 
required by Lago. They will be added to the buffer and sent to Lago in batches 
of up to 100. This batch size is a 
[requirement](https://getlago.com/docs/api-reference/events/batch) from Lago. 
If you want to modify it, see [batch processor](../batch-processor.md) for more 
details.
+
+## Attributes
+
+| Name | Type | Required | Default | Valid values | Description |
+|---|---|---|---|---|---|
+| endpoint_addrs | array[string] | True |  | | Lago API address, like 
`http://127.0.0.1:3000`, it supports both self-hosted and cloud. If multiple 
endpoints are configured, the log will be pushed to a randomly determined 
endpoint from the list. |
+| endpoint_uri | string | False | /api/v1/events/batch | | Lago API endpoint, 
it needs to be set to the batch send endpoint. |
+| token | string | True |  | | Lago API key, create one for your organization 
on Lago dashboard. |
+| event_transaction_id | string | True |  | | Event's transaction ID, it is 
used to identify and de-duplicate the event, it supports string templates 
containing APISIX and NGINX variables, like `req_${request_id}`, which allows 
you to use values returned by upstream services or request-id plugin 
integration |
+| event_subscription_id | string | True |  | | Event's subscription ID, which 
is automatically generated or specified by you when you assign the plan to the 
customer on Lago, used to associate API consumption to a customer subscription, 
it supports string templates containing APISIX and NGINX variables, like 
`cus_${consumer_name}`, which allows you to use values returned by upstream 
services or APISIX consumer |
+| event_code | string | True |  | | Lago billable metric's code for 
associating an event to a specified billable item |
+| event_properties | object | False |  | | Event's properties, used to attach 
information to an event, this allows you to send certain information on a event 
to Lago, such as sending HTTP status to take a failed request off the bill, or 
sending the AI token consumption in the response body for accurate billing, its 
keys are fixed strings and its values can be string templates containing APISIX 
and NGINX variables, like `${status}` |
+| ssl_verify        | boolean       | False    | true | | If true, verify 
Lago's SSL certificates. |
+| timeout           | integer       | False    | 3000 | [1, 60000] | Timeout 
for the Lago service HTTP call in milliseconds.  |
+| keepalive         | boolean       | False    | true |  | If true, keep the 
connection alive for multiple requests. |
+| keepalive_timeout | integer       | False    | 60000 | >=1000 | Keepalive 
timeout in milliseconds.  |
+| keepalive_pool    | integer       | False    | 5       | >=1 | Maximum 
number of connections in the connection pool.  |
+
+This Plugin supports using batch processors to aggregate and process events in 
a batch. This avoids the need for frequently submitting the data. The batch 
processor submits data every `5` seconds or when the data in the queue reaches 
`1000`. See [Batch Processor](../batch-processor.md#configuration) for more 
information or setting your custom configuration.
+
+## Examples
+
+The examples below demonstrate how you can configure `lago` Plugin for typical 
scenario.
+
+To follow along the examples, start a Lago instance. Refer to 
[https://github.com/getlago/lago](https://github.com/getlago/lago) or use Lago 
Cloud.
+
+Follow these brief steps to configure the Lago:
+
+1. Get the Lago API Key (also known as `token`), from the Developer page of 
the Lago dashboard.
+2. Next, create the Billable metric used by APISIX, assuming its code is 
`test`. Set the `Aggregation type` to `Count`; and add a filter with a key of 
`tier` whose value contains `expensive` to allow us to distinguish between API 
values, which will be demonstrated later.
+3. Create a Plan and add the created metric to it. Its code doesn't matter, 
you can specify as much as you like. In the `Usage-based charges` section, add 
the billable metric you just created as a `Metered charge` item. Specify the 
default price as `1$`. Add a filter, use `tier: expensive` to perform the 
filtering, and specify its price as `10$`.
+4. Select an existing or create a new consumer to assign the Plan you just 
created to it. You need to specify a `Subscription external ID` (or you can 
have Lago generate it), which will be used as the APISIX consumer username.
+
+Next we need to configure APISIX for demonstrations.
+
+:::note
+
+You can fetch the `admin_key` from `config.yaml` and save to an environment 
variable with the following command:
+
+```bash
+admin_key=$(yq '.deployment.admin.admin_key[0].key' conf/config.yaml | sed 
's/"//g')
+```
+
+:::
+
+### Report API call usage
+
+The following example demonstrates how you can configure the `lago` Plugin on 
a Route to measuring API call usage.
+
+Create a Route with the `lago`, `request-id`, `key-auth` Plugins as such:
+
+```shell
+curl "http://127.0.0.1:9180/apisix/admin/routes"; -X PUT \
+  -H "X-API-KEY: ${admin_key}" \
+  -d '{
+    "id": "lago-route-1",
+    "uri": "/get",
+    "plugins": {
+      "request-id": {
+        "include_in_response": true
+      },
+      "key-auth": {},
+      "lago": {
+        "endpoint_addrs": ["http://12.0.0.1:3000";],
+        "token": "<Get token from Lago dashboard>",
+        "event_transaction_id": "${http_x_request_id}",
+        "event_subscription_id": "${http_x_consumer_username}",
+        "event_code": "test"
+      }
+    },
+    "upstream": {
+      "nodes": {
+        "httpbin.org:80": 1
+      },
+      "type": "roundrobin"
+    }
+  }'
+```
+
+Create a second route with the `lago`, `request-id`, `key-auth` Plugin as such:
+
+```shell
+curl "http://127.0.0.1:9180/apisix/admin/routes"; -X PUT \
+  -H "X-API-KEY: ${admin_key}" \
+  -d '{
+    "id": "lago-route-2",
+    "uri": "/anything",
+    "plugins": {
+      "request-id": {
+        "include_in_response": true
+      },
+      "key-auth": {},
+      "lago": {
+        "endpoint_addrs": ["http://12.0.0.1:3000";],
+        "token": "<Get token from Lago dashboard>",
+        "event_transaction_id": "${http_x_request_id}",
+        "event_subscription_id": "${http_x_consumer_username}",
+        "event_code": "test",
+        "event_properties": {
+          "tier": "expensive"
+        }
+      }
+    },
+    "upstream": {
+      "nodes": {
+        "httpbin.org:80": 1
+      },
+      "type": "roundrobin"
+    }
+  }'
+```
+
+Create a Consumer:
+
+```shell
+curl "http://127.0.0.1:9180/apisix/admin/consumers"; -X PUT \
+  -H "X-API-KEY: ${admin_key}" \
+  -d '{
+    "username": "<Lago subscription external ID>",
+    "plugins": {
+      "key-auth": {
+        "key": "demo"
+      }
+    }
+  }'
+```
+
+Send three requests to the two routes respectively:
+
+```shell
+curl "http://127.0.0.1:9080/get";
+curl "http://127.0.0.1:9080/get";
+curl "http://127.0.0.1:9080/get";
+curl "http://127.0.0.1:9080/anything";
+curl "http://127.0.0.1:9080/anything";
+curl "http://127.0.0.1:9080/anything";
+```
+
+You should receive `HTTP/1.1 200 OK` responses for all requests.
+
+Wait a few seconds, then navigate to the __Developer__ page in the Lago 
dashboard. Under __Events__, you should see 6 event entries sent by APISIX.
+
+If the self-hosted instance's event worker is configured correctly (or if 
you're using Lago Cloud), you can also see the total amount consumed in real 
time in the consumer's subscription usage, which should be `3 * $1 + 3 * $10 = 
$33` according to our demo use case.
+
+## FAQ
+
+### Purpose of the Plugin
+
+When you make an effort to monetize your API, it's hard to find a ready-made, 
low-cost solution, so you may have to build your own billing stack, which is 
complicated.
+
+This plugin allows you to use APISIX to handle API proxies and use Lago as a 
billing stack through direct integration with Lago, and both the APISIX open 
source project and Lago will be part of your portfolio, which is a huge time 
saver.
+
+Every API call results in a Lago event, which allows you to bill users for 
real usage, i.e. pay-as-you-go, and thanks to our built-in transaction ID 
(request ID) support, you can simply implement API call logging and 
troubleshooting for your customers.
+
+In addition to typical API monetization scenarios, APISIX can also do AI 
tokens-based billing when it is acting as an AI gateway, where each Lago event 
generated by an API request includes exactly how many tokens were consumed, to 
allow you to charge the user for a fine-grained per-tokens usage.
+
+### Is it flexible?
+
+Of course, the fact that we make transaction ID, subscription ID as a 
configuration item and allow you to use APISIX and NGINX variables in it means 
that it's simple to integrate the plugin with any existing or your own 
authentication and internal services.
+
+- Use custom authentication: as long as the Lago subscription ID represented 
by the user ID is registered as an APISIX variable, it will be available from 
there, so custom authentication is completely possible!
+- Integration with internal services: sometimes you may not need the APISIX 
built-in `request-id` plugin, it doesn't matter, you can have your internal 
service (APISIX upstream) generate it and include it in the HTTP response 
header so that you can access it by way of an NGINX variable in the transaction 
ID.

Review Comment:
   I proofread these sentences using DeepL write, which sometimes favors long, 
comma-separated sentences over shorter, independent sentences. It might just be 
a matter of personal preference for the tool. GPT is not quite as easy to 
integrate into my workflow.
   Sometimes LLM-based tools modify the intended meaning of my inputs due to 
hallucinations, which can take extra time to check. 🤨
   
   Anyway, I have again optimized the sentences you pointed out.
   I'm not an expert in document writing, I lack the intuition to recognize 
that certain sentences aren't easy to read or are problematic, and I'll do my 
best.
   You can send a suggestion via GitHub review then I will apply it, or we can 
merge it first and you can review and fix the language issues asynchronously. I 
worry that if I do a bulk rewrite of the paragraphs, I may introduce more new 
issues and make your previous efforts at document review useless (sunk costs).



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