refactor(genai): Update README.md

Author: msampathkumar

genai/README.md

@@ -18,43 +18,74 @@ The samples are organized into the following categories:
 
 ### [Batch Prediction](https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/genai/batch_prediction/)
 
-Demonstrates how to use batch prediction with Generative AI models. This allows efficient processing of large datasets. See the [Batch Prediction documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/batch-prediction-gemini) for more details.
+Demonstrates how to use batch prediction with Generative AI models. This allows efficient processing of large datasets.
+See the [Batch Prediction documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/batch-prediction-gemini)
+for more details.
 
 ### [Bounding Box](https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/genai/bounding_box/)
 
-Demonstrates how to use Bounding Box with Generative AI models. This allows for object detection and localization within images and video. see the [Bounding Box documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/bounding-box-detection) for more details.
+Demonstrates how to use Bounding Box with Generative AI models. This allows for object detection and localization within
+images and video. see the [Bounding Box documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/bounding-box-detection)
+for more details.
 
 ### [Content Cache](https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/genai/content_cache/)
 
-Illustrates how to create, update, use, and delete content caches. Caches store frequently used content to improve performance and reduce costs. See the [Content Cache documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/context-cache/context-cache-overview) for more information.
+Illustrates how to create, update, use, and delete content caches. Caches store frequently used content to improve
+performance and reduce costs. See the [Content Cache documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/context-cache/context-cache-overview)
+for more information.
 
 ### [Controlled Generation](https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/genai/controlled_generation/)
 
-Provides examples of how to control various aspects of the generated content, such as length, format, safety attributes, and more. This allows for tailoring the output to specific requirements and constraints. See the [Controlled Generation documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/control-generated-output) for details.
+Provides examples of how to control various aspects of the generated content, such as length, format, safety attributes,
+and more. This allows for tailoring the output to specific requirements and constraints.
+See the [Controlled Generation documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/control-generated-output)
+for details.
 
 ### [Count Tokens](https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/genai/count_tokens/)
 
-Shows how to estimate token usage for inputs and outputs of Generative AI models. Understanding token consumption is crucial for managing costs and optimizing performance. See the [Token Counting documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/list-token) for more details.
+Shows how to estimate token usage for inputs and outputs of Generative AI models. Understanding token consumption is
+crucial for managing costs and optimizing performance. See the [Token Counting documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/list-token)
+for more details.
 
 ### [Express Mode](https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/genai/express_mode/)
 
-Demonstrates how to use Express Mode for simpler and faster interactions with Generative AI models using an API key. This mode is ideal for quick prototyping and experimentation. See the [Express Mode documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/start/express-mode/overview) for details.
+Demonstrates how to use Express Mode for simpler and faster interactions with Generative AI models using an API key.
+This mode is ideal for quick prototyping and experimentation. See the [Express Mode documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/start/express-mode/overview)
+for details.
 
 ### [Live API](https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/genai/live_api/)
 
-Provides examples of using the Generative AI [Live API](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal-live-api). This allows for real-time interactions and dynamic content generation.
+Provides examples of using the Generative AI [Live API](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal-live-api).
+This allows for real-time interactions and dynamic content generation.
+
+### [Provisioned Throughput](https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/genai/live_api/)
+
+Provides examples demonstrating how to use Provisioned Throughput with Generative AI models. This feature provides a
+fixed-cost monthly subscription or weekly service that reserves throughput for supported generative AI models on Vertex AI.
+See the [Provisioned Throughput](https://cloud.google.com/vertex-ai/generative-ai/docs/provisioned-throughput) for details.
 
 ### [Safety](https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/genai/safety/)
 
-Provides examples demonstrating how to configure and apply safety settings to Generative AI models. This includes techniques for content filtering and moderation to ensure responsible AI usage. See the [Safety documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/configure-safety-attributes) for details.
+Provides examples demonstrating how to configure and apply safety settings to Generative AI models. This includes
+techniques for content filtering and moderation to ensure responsible AI usage. See the
+[Safety documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/configure-safety-attributes)
+for details.
 
 ### [Text Generation](https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/genai/text_generation/)
 
-Provides examples of generating text using various input modalities (text, images, audio, video) and features like asynchronous generation, chat, and text streaming. See the [Text Generation documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/send-chat-prompts-gemini) for details.
+Provides examples of generating text using various input modalities (text, images, audio, video) and features like
+asynchronous generation, chat, and text streaming. See the[Text Generation documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/send-chat-prompts-gemini)
+for details.
 
 ### [Tools](https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/genai/tools/)
 
-Showcases how to use tools like function calling, code execution, and grounding with Google Search to enhance Generative AI interactions. See the [Tools documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/function-calling) for more information.
+Showcases how to use tools like function calling, code execution, and grounding with Google Search to enhance
+Generative AI interactions. See the [Tools documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/function-calling) for more information.
+
+### [Video Generation](https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/genai/video_generation/)
+
+Provides examples of generating videos using text & images input modalities. See the
+[Video Generation documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/video/generate-videos) for details.
 
 ## Contributing
 

genai/tools/tools_code_exec_with_txt.py

@@ -58,7 +58,6 @@ def generate_content() -> str:
     #
     # # Outcome:
     # fib_20=6765
-
     # [END googlegenaisdk_tools_code_exec_with_txt]
     return response.executable_code
 

genai/tools/tools_func_desc_with_txt.py

@@ -87,7 +87,6 @@ def generate_content() -> str:
     #         ]
     #     },
     # )]
-
     # [END googlegenaisdk_tools_func_desc_with_txt]
     return str(response.function_calls[0])