diff --git a/owl/run_groq.py b/owl/run_groq.py
index 821e203..7c44db0 100644
--- a/owl/run_groq.py
+++ b/owl/run_groq.py
@@ -11,6 +11,21 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
+
+"""
+This module provides integration with the Groq API platform for the OWL system.
+
+It configures different agent roles with appropriate Groq models based on their requirements:
+- Tool-intensive roles (assistant, web, planning, video, image) use GROQ_LLAMA_3_3_70B
+- Document processing uses GROQ_MIXTRAL_8_7B
+- Simple roles (user) use GROQ_LLAMA_3_1_8B
+
+To use this module:
+1. Set GROQ_API_KEY in your .env file
+2. Set OPENAI_API_BASE_URL to "https://api.groq.com/openai/v1"
+3. Run with: python -m owl.run_groq
+"""
+
 from dotenv import load_dotenv
 from camel.models import ModelFactory
 from camel.toolkits import (
@@ -47,37 +62,37 @@ def construct_society(question: str) -> OwlRolePlaying:
     models = {
         "user": ModelFactory.create(
             model_platform=ModelPlatformType.GROQ,
-            model_type=ModelType.GROQ_LLAMA_3_1_8B,
+            model_type=ModelType.GROQ_LLAMA_3_1_8B,  # Simple role, can use 8B model
             model_config_dict={"temperature": 0},
         ),
         "assistant": ModelFactory.create(
             model_platform=ModelPlatformType.GROQ,
-            model_type=ModelType.GROQ_LLAMA_3_1_8B,
+            model_type=ModelType.GROQ_LLAMA_3_3_70B,  # Main assistant needs tool capability
             model_config_dict={"temperature": 0},
         ),
         "web": ModelFactory.create(
             model_platform=ModelPlatformType.GROQ,
-            model_type=ModelType.GROQ_LLAMA_3_1_8B,
+            model_type=ModelType.GROQ_LLAMA_3_3_70B,  # Web browsing requires tool usage
             model_config_dict={"temperature": 0},
         ),
         "planning": ModelFactory.create(
             model_platform=ModelPlatformType.GROQ,
-            model_type=ModelType.GROQ_LLAMA_3_1_8B,
+            model_type=ModelType.GROQ_LLAMA_3_3_70B,  # Planning requires complex reasoning
             model_config_dict={"temperature": 0},
         ),
         "video": ModelFactory.create(
             model_platform=ModelPlatformType.GROQ,
-            model_type=ModelType.GROQ_LLAMA_3_1_8B,
+            model_type=ModelType.GROQ_LLAMA_3_3_70B,  # Video analysis is multimodal
             model_config_dict={"temperature": 0},
         ),
         "image": ModelFactory.create(
             model_platform=ModelPlatformType.GROQ,
-            model_type=ModelType.GROQ_LLAMA_3_1_8B,
+            model_type=ModelType.GROQ_LLAMA_3_3_70B,  # Image analysis is multimodal
             model_config_dict={"temperature": 0},
         ),
         "document": ModelFactory.create(
             model_platform=ModelPlatformType.GROQ,
-            model_type=ModelType.GROQ_LLAMA_3_1_8B,
+            model_type=ModelType.GROQ_MIXTRAL_8_7B,  # Document processing can use Mixtral
             model_config_dict={"temperature": 0},
         ),
     }
@@ -129,6 +144,9 @@ def main():
     question = "Navigate to Amazon.com and identify one product that is attractive to coders. Please provide me with the product name and price. No need to verify your answer."
 
     # Construct and run the society
+    # Note: This configuration uses GROQ_LLAMA_3_3_70B for tool-intensive roles (assistant, web, planning, video, image)
+    # and GROQ_MIXTRAL_8_7B for document processing. GROQ_LLAMA_3_1_8B is used only for the user role
+    # which doesn't require tool usage capabilities.
     society = construct_society(question)
     answer, chat_history, token_count = run_society(society)