Remove async-tasks.mdx and update sidebars.js

docs/docs/guides/async-tasks.mdx

@@ -1,44 +0,0 @@
-import Admonition from "@theme/Admonition";
-
-# Async API
-
-## Introduction
-
-<Admonition type="info" caption="In development">
-  This implementation is still in development. Contributions are welcome!
-</Admonition>
-
-The Async API is an implementation of the Langflow API that uses [Celery](https://docs.celeryproject.org/en/stable/)
-to run the tasks asynchronously, using a message broker to send and receive messages, a result backend to store the results and a cache to store the task states and session data.
-
-### Configuration
-
-The folder _`./deploy`_ in the [Github repository](https://github.com/logspace-ai/langflow) contains a _`.env.example`_ file that can be used to configure a Langflow deployment.
-The file contains the variables required to configure a Celery worker queue, Redis cache and result backend and a RabbitMQ message broker.
-
-To set it up locally you can copy the file to _`.env`_ and run the following command:
-
-```bash
-docker compose up -d
-```
-
-This will set up the following containers:
-
-- Langflow API
-- Celery worker
-- RabbitMQ message broker
-- Redis cache
-- PostgreSQL database
-- PGAdmin
-- Flower
-- Traefik
-- Grafana
-- Prometheus
-
-### Testing
-
-To run the tests for the Async API, you can run the following command:
-
-```bash
-docker compose -f docker-compose.with_tests.yml up --exit-code-from tests tests result_backend broker celeryworker db --build
-```

docs/sidebars.js

@@ -27,12 +27,7 @@ module.exports = {
       type: "category",
       label: " Step-by-Step Guides",
       collapsed: false,
-      items: [
-        "guides/async-tasks",
-        "guides/loading_document",
-        "guides/chatprompttemplate_guide",
-        "guides/langfuse_integration",
-      ],
+      items: ["guides/langfuse_integration"],
     },
     {
       type: "category",