{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"}],"enrichment":{"capability":"A toolkit for building and deploying AI agents on DataRobot, providing unified LLM routing, agentic tools, multi-framework support (LangGraph, LlamaIndex, CrewAI, NIM), and orchestration through a low-code workflow interface.","skillfed_tags":["agent-framework","llm-orchestration","datarobot-integration"],"use_cases":["Build a LangGraph agent that routes LLM calls through DataRobot's gateway without rewriting framework-specific code.","Orchestrate multi-agent systems (planner/writer crews) using a shared `workflow.yaml` configuration across different frameworks.","Deploy an agent with DRAgent to serve it as a web application with distributed tracing and async generation support.","Integrate agentic tools via `drtools` to give agents first-class capabilities for interacting with external systems.","Expose a custom MCP server in DataRobot using `drmcp` for standardized tool discovery and invocation.","Evaluate agent performance using built-in evaluation utilities backed by the NeMo Evaluator launcher."],"what_it_does":"DataRobot GenAI is a framework for building AI agents that integrates with DataRobot's LLM Gateway and deployment infrastructure. It provides a unified entry point (`get_llm()`) that routes requests to DataRobot LLM deployments, external LLM providers, or NVIDIA NIM, backed by LiteLLM. The library supports multiple agentic frameworks\u2014LangGraph, LlamaIndex, CrewAI, and NVIDIA NAT\u2014through a single abstraction layer, eliminating the need to write framework-specific integration code.\n\nBeyond LLM routing, it includes a library of agentic tools (`drtools`), a DataRobot-compatible MCP server (`drmcp`), and orchestration via a low-code `workflow.yaml` interface. Agents expose a standard AG-UI event stream for consistent rendering across the DataRobot platform and custom UIs. The package also provides DRAgent, a serving layer that handles distributed tracing, async generations, and WebSocket communication for real-world deployment.","worth_installing":"Yes, if you are building agents on DataRobot or need unified LLM routing across multiple agentic frameworks. The library is actively maintained, has no known vulnerabilities, installs cleanly with low friction, and is permissively licensed. Install one of the framework-specific extras (crewai, langgraph, llamaindex, nat) matching your choice of agent framework. Requires a DataRobot account for production features."},"id":"datarobot-genai","links":{"html":"https://skillfed.io/packages/datarobot-genai","md":"https://skillfed.io/packages/datarobot-genai.md","pypi":"https://pypi.org/project/datarobot-genai/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":null,"license_treatment":"permissive","name":"datarobot-genai","python_support":"supports_current","summary":"Generic helpers for GenAI"},"popularity":{"monthly_downloads":164813,"position":10538,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.27.14"}