{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/2"}],"enrichment":{"capability":"Python SDK for building, deploying, and managing AI agents and generative AI applications on Google's Gemini Enterprise Agent Platform (formerly Vertex AI).","skillfed_tags":["google-cloud","agent-framework","generative-ai"],"use_cases":["Build and deploy multi-turn conversational agents with tool integration using the Agent Development Kit.","Run batch inference and evaluation on generative AI model outputs using built-in metrics like exact_match and rouge_l_sum.","Optimize prompts for better model performance using zero-shot or data-driven optimization methods.","Manage agent sandboxes, sessions, and memory banks for stateful agent interactions.","Evaluate and compare model responses against reference outputs in production workflows."],"what_it_does":"The vertexai package is Google's official Python SDK for the Gemini Enterprise Agent Platform, a managed service for building and deploying AI agents. It wraps the underlying google-cloud-aiplatform library and provides high-level APIs for defining agents using the Agent Development Kit (ADK), running generative AI inference and evaluation, optimizing prompts, and deploying agents to a managed runtime. The package handles authentication, API communication, and lifecycle management for agents and generative AI workloads on Google Cloud.\n\nTypical workflows include instantiating a client with your GCP project and location, defining agent functions or using ADK to create agents with tool bindings, running inference or evaluation on model outputs, and deploying agents to Agent Engine for production use. The SDK supports both local testing (async streaming) and remote deployment, making it suitable for developers building conversational agents, question-answering systems, and other AI-driven applications that need to integrate with Google Cloud infrastructure.","worth_installing":"Yes, if you are building AI agents or generative AI applications on Google Cloud. The package is actively maintained, has low install friction, carries a permissive license, and integrates deeply with Google's managed agent platform. Be aware that major API reorganization is planned (rebranding agent_engines to runtimes, relocating modules) before version 2.0.0; pin to < 2.0.0 if stability is critical. No known vulnerabilities."},"id":"vertexai","links":{"html":"https://skillfed.io/packages/vertexai","md":"https://skillfed.io/packages/vertexai.md","pypi":"https://pypi.org/project/vertexai/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2024-10-31","license_spdx":null,"license_treatment":"permissive","name":"vertexai","python_support":"supports_current","summary":"Please run pip install vertexai to use the Vertex SDK."},"popularity":{"monthly_downloads":4741294,"position":2242,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.71.1"}