Fast-track development of enterprise-grade agentic automations with LlamaIndex

As agents move from experiments to production, companies are looking for ways to scale agentic automation. Unlike traditional automation, agents can navigate complex processes, synthesize data from multiple sources, and adapt in real time, making them ideal for use cases such as operations monitoring, customer service, and knowledge management.

UiPath low-code tools and prebuilt agent templates have democratized builder access across departments. But as use cases grow more sophisticated, custom agents built by professional developers are becoming a priority. Enterprises are looking for agents they can program with full code-level control that reflect their data, business rules, and systems architecture.

The rise of pro-code frameworks like LlamaIndex, LangChain, and CrewAI is making it easier to build agents that reason, plan, and interact with APIs and LLMs. Coding agents like Cursor and Claude Code further empower developers to quickly express complex logic and ship powerful agents. However, this new flexibility doesn’t negate the old truths; enterprises still need rigorous testing, secure deployment, human-in-the-loop oversight, and observability before anything hits production.

UiPath coded agents for developers

UiPath is meeting this enterprise shift with UiPath coded agents, which allow developers to easily create and deploy custom agents. Developers simply use the UiPath Python SDK to code an agent, package it using the UiPath CLI, and deploy within the UiPath infrastructure. A coded agent in UiPath is fully customizable, pulling data from enterprise systems, and making decisions using embedded rules or AI models. These agents can run on their own or operate as part of a broader agentic automation alongside other AI agents and robots. And crucially, they’re built with enterprise ops in mind: auditable, testable, and upgradable.

Coded agents give developers:

1. Full code-level control: define retries, decision trees, and integrations in Python via the UiPath SDK, with no low-code constraints or vendor lock-in

2. Modularity and reuse: package agents as shareable components for faster iteration across teams

3. Governance out of the box: role-based access control (RBAC), audit logs, and human-in-the-loop workflows are included

4. Seamless deployment: with a single CLI command, AI agents can be packaged and deployed to UiPath Orchestrator for instant updates, rollback, or A/B testing

Support for the popular LlamaIndex agentic framework

UiPath now offers full support for LlamaIndex’s open‑source agent framework and managed LlamaCloud, building on top of our existing support for other pro-code frameworks. This means developers can build agents using the open-source LlamaIndex tools they already love, then deploy them into UiPath’s enterprise-grade environment with minimal friction. The UiPath LlamaIndex SDK is open source, and we welcome community contributions.

With this integration, you can not only use LlamaIndex + LlamaCloud to build high-accuracy, deeply custom agents over your documents, but you can also plug directly into UiPath' s complex workflows, gaining enterprise-grade governance and observability alongside pro‑dev flexibility.

Jerry Liu, CEO, LlamaIndex

Professional developers get to build sophisticated agents in the powerful LlamaIndex agent framework, and UiPath handles the rest: deploying, orchestrating, monitoring, and securing those agents as part of mission-critical business processes.

Mark Geene, SVP of Product, UiPath

Get started with coded agents

Experience the benefits of integrating LlamaIndex agents and LlamaCloud into UiPath today:

• Try UiPath for free

• UiPath LlamaIndex quickstart guide

• UiPath LlamaIndex samples