🐛 FIX: Formatting

Author: arre-ankit

langbase/__init__.py

@@ -3,25 +3,6 @@
 
 This package provides a Python interface to the Langbase API, allowing you to
 build and deploy AI-powered applications using Langbase's infrastructure.
-
-Basic usage:
-
-```python
-from langbase import Langbase
-
-# Initialize the client
-lb = Langbase(api_key="your-api-key")
-
-# Run a pipe
-response = lb.pipes.run(
-    name="your-pipe-name",
-    messages=[
-        {"role": "system", "content": "You are a helpful assistant."},
-        {"role": "user", "content": "Tell me about AI."}
-    ]
-)
-
-print(response["completion"])
 ```
 """
 

langbase/workflow.py

@@ -73,31 +73,6 @@ class Workflow:
     """
     A workflow execution engine that provides step-based execution with retry logic,
     timeouts, and debugging capabilities.
-
-    Example:
-        ```python
-        from langbase import Workflow
-
-        # Create a workflow with debugging enabled
-        workflow = Workflow(debug=True)
-
-        # Define and execute steps
-        async def my_operation():
-            return "Hello, World!"
-
-        result = await workflow.step({
-            "id": "greeting",
-            "timeout": 5000,  # 5 seconds
-            "retries": {
-                "limit": 3,
-                "delay": 1000,  # 1 second
-                "backoff": "exponential"
-            },
-            "run": my_operation
-        })
-
-        print(result)  # "Hello, World!"
-        ```
     """
 
     def __init__(self, debug: bool = False):