📝 docs(guidelines): add async-api.mdx to provide documentation on asynchronous processing feature

📝 docs(guides): add async-tasks.mdx to provide a guide on using the Async API implementation

📝 docs(sidebars.js): update sidebar to include async-api.mdx and async-tasks.mdx in the appropriate sections

docs/docs/guidelines/async-api.mdx

@@ -0,0 +1,57 @@
+import Admonition from "@theme/Admonition";
+
+# Asynchronous Processing
+
+## Introduction
+
+Starting from version 0.5, Langflow introduces a new feature to its API: the _`sync`_ flag. This flag allows users to opt for asynchronous processing of their flows, freeing up resources and enabling better control over long-running tasks.
+This feature supports running tasks in a Celery worker queue and AnyIO task groups for now.
+
+<Admonition type="warning" caption="Experimental Feature">
+  This is an experimental feature. The default behavior of the API is still
+  synchronous processing. The API may change in the future.
+</Admonition>
+
+## The _`sync`_ Flag
+
+The _`sync`_ flag can be included in the payload of your POST request to the _`/api/v1/process/<your_flow_id>`_ endpoint.
+When set to _`false`_, the API will initiate an asynchronous task instead of processing the flow synchronously.
+
+### API Request with _`sync`_ flag
+
+```bash
+curl -X POST \
+  http://localhost:3000/api/v1/process/<your_flow_id> \
+  -H 'Content-Type: application/json' \
+  -H 'x-api-key: <your_api_key>' \
+  -d '{"inputs": {"text": ""}, "tweaks": {}, "sync": false}'
+```
+
+## Checking Task Status
+
+You can check the status of an asynchronous task by making a GET request to the `/task/{task_id}/status` endpoint.
+
+```bash
+curl -X GET \
+  http://localhost:3000/api/v1/task/<task_id>/status \
+  -H 'x-api-key: <your_api_key>'
+```
+
+### Response
+
+The endpoint will return the current status of the task and, if completed, the result of the task. Possible statuses include:
+
+- _`PENDING`_: The task is waiting for execution.
+- _`SUCCESS`_: The task has completed successfully.
+- _`FAILURE`_: The task has failed.
+
+Example response for a completed task:
+
+```json
+{
+  "status": "SUCCESS",
+  "result": {
+    "output": "..."
+  }
+}
+```

docs/docs/guides/async-tasks.mdx

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+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.test.yml up --exit-code-from tests tests result_backend broker celeryworker db --build
+```

docs/sidebars.js

@@ -18,6 +18,7 @@ module.exports = {
       items: [
         "guidelines/login",
         "guidelines/api",
+        "guidelines/async-api",
         "guidelines/components",
         "guidelines/features",
         "guidelines/collection",
@@ -54,6 +55,7 @@ module.exports = {
       label: "Step-by-Step Guides",
       collapsed: false,
       items: [
+        "guides/async-tasks",
         "guides/loading_document",
         "guides/chatprompttemplate_guide",
         "guides/langfuse_integration",