fix readme

Author: idanasulin2706

README.md

@@ -30,50 +30,6 @@ Superstream Clients works as a Python import hook that intercepts Kafka producer
 - **Intelligent optimization**: Identifies the most impactful topics to optimize
 - **Graceful fallback**: Falls back to default settings if optimization fails
 
-## Important: Producer Configuration Requirements
-
-When initializing your Kafka producers, please ensure you pass the configuration as a mutable object. The Superstream library needs to modify the producer configuration to apply optimizations. The following initialization patterns are supported:
-
-✅ **Supported (Recommended)**:
-```python
-# Using kafka-python
-from kafka import KafkaProducer
-producer = KafkaProducer(
-    bootstrap_servers=['localhost:9092'],
-    compression_type='snappy',
-    batch_size=16384
-)
-
-# Using aiokafka
-from aiokafka import AIOKafkaProducer
-producer = AIOKafkaProducer(
-    bootstrap_servers='localhost:9092',
-    compression_type='snappy',
-    batch_size=16384
-)
-
-# Using confluent-kafka
-from confluent_kafka import Producer
-producer = Producer({
-    'bootstrap.servers': 'localhost:9092',
-    'compression.type': 'snappy',
-    'batch.size': 16384
-})
-```
-
-❌ **Not Supported**:
-```python
-# Using frozen dictionaries or immutable configurations
-from types import MappingProxyType
-config = MappingProxyType({
-    'bootstrap.servers': 'localhost:9092'
-})
-producer = KafkaProducer(**config)
-```
-
-### Why This Matters
-The Superstream library needs to modify your producer's configuration to apply optimizations based on your cluster's characteristics. This includes adjusting settings like compression, batch size, and other performance parameters. When the configuration is immutable, these optimizations cannot be applied.
-
 ## Installation
 
 ```bash