Merge branch 'master' into fix/license-classifier

Author: danfimov

docs/available-components/middlewares.md

@@ -7,7 +7,7 @@ order: 5
 Middlewares allow you to execute code when specific event occurs.
 Taskiq has several default middlewares.
 
-### Simple retry middleware
+## Simple retry middleware
 
 This middleware allows you to restart functions on errors. If exception was raised during task execution,
 the task would be resent with same parameters.
@@ -34,11 +34,11 @@ async def test():
 
 `retry_on_error` enables retries for a task. `max_retries` is the maximum number of times,.
 
-## Smart Retry Middleware
+## Smart retry middleware
 
 The `SmartRetryMiddleware` automatically retries tasks with flexible delay settings and retry strategies when errors occur. This is particularly useful when tasks fail due to temporary issues, such as network errors or temporary unavailability of external services.
 
-### Key Features:
+### Key Features
 
 * **Retry Limits**: Set the maximum number of retry attempts (`max_retries`).
 * **Delay Before Retry**: Define a fixed delay or use additional strategies.
@@ -85,7 +85,7 @@ Use jitter and exponential backoff to avoid repetitive load peaks, especially in
 
 
 
-### Prometheus middleware
+## Prometheus middleware
 
 You can enable prometheus metrics for workers by adding `PrometheusMiddleware`.
 To do so, you need to install `prometheus_client` package or you can install metrics extras for taskiq.
@@ -119,7 +119,7 @@ broker = ZeroMQBroker().with_middlewares(
 After that, metrics will be available at port 9000. Of course, this parameter can be configured.
 If you have other metrics, they'll be shown as well.
 
-### OpenTelemetry Middleware
+## OpenTelemetry Middleware
 
 You can enable opentelemetry tracing for workers by adding `OpenTelemetryMiddleware` or using `TaskiqInstrumentor` (preferred).
 

docs/framework_integrations/faststream.md

@@ -4,7 +4,7 @@ order: 3
 
 # Taskiq + FastStream
 
-[FastStream](https://faststream.airt.ai/latest/) is a library that allows you to write consumers and producers for different message brokers almost like taskiq. But the difference is that taskiq is more focused on tasks for a specific project and more like celery but async, while FastStream is more focused on events and defining how different systems communicate with each other using distributed brokers.
+[FastStream](https://faststream.ag2.ai/latest/) is a library that allows you to write consumers and producers for different message brokers almost like taskiq. But the difference is that taskiq is more focused on tasks for a specific project and more like celery but async, while FastStream is more focused on events and defining how different systems communicate with each other using distributed brokers.
 
 If you want to declare communication between different projects you can use taskiq, but it might be a bit more complex than using FastStream.
 
@@ -29,4 +29,4 @@ app = FastStream(broker)
 taskiq_broker = BrokerWrapper(broker)
 ```
 
-You can read more about scheduling tasks for FastStream in the [FastStream documentation](https://faststream.airt.ai/latest/scheduling/?h=schedule).
+You can read more about scheduling tasks for FastStream in the [FastStream documentation](https://faststream.ag2.ai/latest/scheduling/?h=schedule).