{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/3"}],"enrichment":{"capability":"Builds and orchestrates AI agents powered by OpenAI and Azure OpenAI APIs, with support for multi-agent workflows, tool calling, and agent-to-agent collaboration patterns.","skillfed_tags":["multi-agent-orchestration","llm-integration","async-framework"],"use_cases":["Build a single agent that summarizes documents or answers questions using OpenAI or Azure OpenAI as the backbone.","Create a multi-agent workflow where specialized agents (e.g., writer, reviewer, editor) collaborate sequentially or in parallel to refine content.","Attach custom Python functions as tools to agents so they can call weather APIs, database queries, or other services during execution.","Orchestrate agent handoff patterns where one agent routes tasks to another based on expertise or context.","Integrate with Microsoft Foundry or Copilot Studio for enterprise LLM and workflow management."],"what_it_does":"Agent Framework is Microsoft's Python library for building and coordinating AI agents that interact with large language models. It provides a high-level Agent class that wraps OpenAI and Azure OpenAI chat clients, allowing you to define agent behavior through instructions, attach tools for function calling, and compose multiple agents into orchestrated workflows. The framework handles async execution, message passing, and agent-to-agent handoff patterns out of the box.\n\nThe package is designed for both simple single-agent tasks (summarization, Q&A) and complex multi-agent scenarios (sequential workflows, concurrent execution, group chat). It abstracts away boilerplate LLM integration code and provides patterns for common orchestration use cases like writer-reviewer loops and specialized agent teams. Installation is straightforward\u2014either install the full framework with all integrations or pick specific sub-packages (core, foundry, copilotstudio) to keep dependencies lean.","worth_installing":"Yes. The package is actively maintained, production-stable, has no known vulnerabilities, and offers low install friction. It's a solid choice if you're building AI agents on OpenAI or Azure OpenAI and want structured orchestration patterns without writing boilerplate. The permissive MIT license and broad Python version support (3.10\u20133.14) add to its appeal. Start with a single agent to validate your use case, then scale to multi-agent workflows as needed."},"id":"agent-framework","links":{"html":"https://skillfed.io/packages/agent-framework","md":"https://skillfed.io/packages/agent-framework.md","pypi":"https://pypi.org/project/agent-framework/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":null,"license_treatment":"permissive","name":"agent-framework","python_support":"supports_current","summary":"Microsoft Agent Framework for building AI Agents with Python. This package contains all the core and optional packages."},"popularity":{"monthly_downloads":1527626,"position":3810,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.14.0"}