{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks"}],"enrichment":{"capability":"An async-first, event-driven framework for orchestrating multi-step AI workflows with state management and built-in observability instrumentation.","skillfed_tags":["async-orchestration","ai-workflows","event-driven"],"use_cases":["Build AI agents that reason, make decisions, and take actions across multiple steps with state preservation.","Create document processing pipelines that ingest, analyze, summarize, and route documents through processing stages.","Coordinate between different AI models (LLMs, vision models) to solve complex tasks in a single workflow.","Develop research assistants that search, analyze, synthesize information, and provide comprehensive answers.","Build customer support automation systems that route, categorize, and respond to inquiries intelligently."],"what_it_does":"LlamaIndex Workflows is a framework for building complex, multi-step AI applications using an async-first, event-driven architecture. It lets you define workflows as a series of steps\u2014async functions that process events and emit new events to other steps\u2014with built-in state management so each workflow run is self-contained and can be serialed and resumed. The framework handles routing between capabilities, parallel processing, looping, and state persistence, and automatically instruments workflows for observability with tools like Arize Phoenix and OpenTelemetry.\n\nYou define workflows by subclassing Workflow and decorating async methods with @step, specifying which events they accept and which they emit. Steps that accept StartEvent run first, steps that emit StopEvent end the workflow, and intermediate events pass data between steps. A Context object lets you share state and information across steps within a single run. The async-first design means workflows integrate naturally with async frameworks like FastAPI and Jupyter Notebooks.","worth_installing":"Yes. The package is actively maintained, has low install friction, carries a permissive MIT license, and fills a clear need for orchestrating complex AI workflows. It's well-suited for production AI applications that require multi-step reasoning, state management, and observability. Start with it if you're building agents, document pipelines, or multi-model AI systems that need reliable async coordination."},"id":"llama-index-workflows","links":{"html":"https://skillfed.io/packages/llama-index-workflows","md":"https://skillfed.io/packages/llama-index-workflows.md","pypi":"https://pypi.org/project/llama-index-workflows/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-12","license_spdx":"MIT","license_treatment":"permissive","name":"llama-index-workflows","python_support":"supports_current","summary":"An event-driven, async-first, step-based way to control the execution flow of AI applications like Agents."},"popularity":{"monthly_downloads":12207324,"position":1335,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"2.23.1"}