ticket to a human. Orchestration Agents themselves can serve as tools for other agents—see the Manager Pattern in the Orchestration section. Refund agent, Research agent, Writing agent. 9 A practical requirements, our experience with customers highlights two broadly applicable categories: Manager (agents as tools) A central “manager” agent coordinates multiple specialized agents via tool calls, each handling specializations. Multi-agent systems can be modeled as graphs, with agents represented as nodes. In the manager pattern, edges represent tool calls whereas in the decentralized pattern, edges represent handoffs

inventory capacity GPT-4o mini Vision tags and completes product listings, allowing Mercado to catalog 100x more products. Detecting fraud Evaluating data on millions of product listings each day, improving

example: Let's say you want to use an LLM to generate descriptions for products in an e-commerce catalog. Instead of just providing a free-form text description of the product, you can use a JSON schema

下和全于由 loss = loss_fn() opt = tf.Adamoptimizer(learning_rate=...) # Choose a 1oss Scale manager which decides how to pick the right loss scale # throughout the training process. 1oss_scale_manger original optimizer in a LossScale0ptimizer . loss_scale_optimizer = LossScaleOptimizer(opt，1oss_scale_manager) # Call minimize() on the loss scale optimizer. train_op = loss_scale_optimizer.minimize(1oss) Loss