{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/19"}],"enrichment":{"capability":"Vellum is an SDK for building and deploying production-grade AI applications, providing orchestration, prompt management, evaluations, retrieval, and observability through both a low-level client API and a high-level workflow engine.","skillfed_tags":["llm-orchestration","workflow-engine","ai-observability"],"use_cases":["Define and orchestrate multi-step AI workflows with declarative graph syntax without requiring a Vellum account.","Iterate on and compare prompts across different LLM providers using the built-in prompt playground.","Measure and evaluate the quality of AI system outputs at scale with the evaluations framework.","Monitor and debug production AI applications in real-time with detailed logs, metrics, and user feedback.","Deploy AI system updates independently from application code using one-click deployment.","Transform unstructured content into context-aware retrieval solutions optimized for AI systems."],"what_it_does":"Vellum is a Python SDK for building and managing production AI applications. It provides two main layers: a low-level Client SDK for direct interaction with the Vellum API, and a high-level Workflows SDK for defining the control flow and structure of AI systems as declarative graphs. The package includes built-in support for prompt management, evaluation frameworks, retrieval services, deployment, and real-time observability.\n\nThe Workflows SDK can be used independently without a Vellum account to define and debug AI system control flow, though a paid account unlocks additional features like UI-based editing, managed retrieval, and deployment integration. The package is actively maintained, supports Python 3.9 through 3.12, and has low installation friction with a pure Python wheel distribution.","worth_installing":"Yes, if you are building production AI applications and want a structured SDK for orchestration and observability. The Workflows SDK alone justifies installation for control-flow definition without vendor lock-in. MIT licensing, active maintenance, and low install friction make it a low-risk addition. A Vellum account is required to unlock full platform features (prompt management, deployment, managed retrieval), so evaluate whether the free tier meets your needs before committing to paid features."},"id":"vellum-ai","links":{"html":"https://skillfed.io/packages/vellum-ai","md":"https://skillfed.io/packages/vellum-ai.md","pypi":"https://pypi.org/project/vellum-ai/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-05","license_spdx":null,"license_treatment":"permissive","name":"vellum-ai","python_support":"supports_current","summary":null},"popularity":{"monthly_downloads":119781,"position":12055,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.14.7"}