Скачать или смотреть Strands Agents with Gemini

This video demonstrates how to integrate Strand agents with the Gemini LLM [00:00].

The video covers the following steps:

Obtaining an API Key The process begins by showing how to get an API key from Google AI Studio and add it to an .env file [00:10].

Setting up the Environment It then guides viewers through creating and activating a Python virtual environment [00:47].

Installing Dependencies The video demonstrates how to create a requirements.txt file and install the necessary strand-agents package, including the lite-llm module for interacting with Gemini [01:37].

Connecting to the Gemini Model It shows how to import LiteLLMModel from strands.models.litellm and configure the Gemini 2.5 Flash model with parameters like max_tokens and temperature [02:58].

Invoking the Agent The video illustrates how to wrap the model within an agent and send a prompt to get a response [05:46].

Accessing Metrics It explains how to retrieve metrics from the agent's response, such as the number of input and output tokens used [07:17].

Setting up Logging Finally, the video demonstrates how to implement logging to view debug and info logs from the Strands library [08:31].

You can watch the video at    • Strands Agents with Gemini  .