Merge pull request #1036 from guardrails-ai/dtam/add_server_entry_to_readme

Update README.md

Author: zsimjee

README.md

@@ -165,6 +165,43 @@ This prints:
 }
 ```
 
+### Guardrails Server
+
+Guardrails can be set up as a standalone service served by Flask with `guardrails start`, allowing you to interact with it via a REST API. This approach simplifies development and deployment of Guardrails-powered applications.
+
+1. Install: `pip install "guardrails-ai"`
+2. Configure: `guardrails configure`
+3. Create a config: `guardrails create --validators=hub://guardrails/two_words --name=two-word-guard`
+4. Start the dev server: `guardrails start --config=./config.py`
+5. Interact with the dev server via the snippets below
+```
+# with the guardrails client
+import guardrails as gr
+
+gr.settings.use_server = True
+guard = gr.Guard(name='two-word-guard')
+guard.validate('this is more than two words')
+
+# or with the openai sdk
+import openai
+openai.base_url = "http://localhost:8000/guards/two-word-guard/openai/v1/"
+os.environ["OPENAI_API_KEY"] = "youropenaikey"
+
+messages = [
+        {
+            "role": "user",
+            "content": "tell me about an apple with 3 words exactly",
+        },
+    ]
+
+completion = openai.chat.completions.create(
+    model="gpt-4o-mini",
+    messages=messages,
+)
+```
+
+For production deployments, we recommend using Docker with Gunicorn as the WSGI server for improved performance and scalability. 
+
 ## FAQ
 
 #### I'm running into issues with Guardrails. Where can I get help?