Скачать или смотреть UiPath Agentic Automation - Build Agent #1

Building a UiPath AI agent is done using the UiPath Agent Builder in the Studio Web environment, which allows users to design, configure, and deploy agents that can reason, plan, and act autonomously. The process involves defining the agent's purpose, adding context, tools, and orchestrating its interaction with humans and robots through the UiPath Platform.
Key Components of a UiPath Agent
Agents: Autonomous AI systems powered by Large Language Models (LLMs) that can perceive their environment, make decisions, and execute complex tasks.
Tools/Activities: These are the capabilities the agent uses to perform tasks. They can be prebuilt or custom RPA workflows, API integrations, or other AI models (like Intelligent Document Processing).
Context Grounding: This feature provides the agent with relevant business data (from documents, databases, etc.) to ensure its decisions are accurate and aligned with enterprise policies, reducing the risk of "hallucinations".
Orchestration (Maestro): The central layer that coordinates the activities of agents, robots, and people into seamless, end-to-end business processes.
Human-in-the-Loop: Integration points, often using UiPath Apps or Action Center, where human judgment, review, or approval is required.
Evaluation and Monitoring: Built-in tools for testing and scoring agent performance to ensure reliability and continuous improvement before and during production.
Steps to Build a UiPath Agent
You can build an agent from scratch or use the Autopilot feature with natural language prompts within UiPath Studio Web.
Access Studio Web: Go to studio.uipath.com and select the option to create a new Agent.
Define Agent Goal and Role: Clearly state the agent's objective and constraints using natural language prompts. This is where you leverage the power of LLMs to define its "brain".
Configure LLM and Parameters: Select the desired large language model (e.g., Anthropic Claude) and adjust settings like temperature (creativity level) and maximum tokens per response.
Add Tools and Context:
Tools: Integrate existing RPA workflows or APIs as "tools" the agent can use to interact with specific applications like SAP or Salesforce.
Context: Use the Context Grounding feature to connect the agent to specific, permissioned knowledge bases (e.g., policy documents, historical data) to inform its decisions.
Define Escalations: Configure "human-in-the-loop" scenarios using UiPath Apps or Action Center for tasks that require human review or approval.
Test and Debug: Use the built-in debugging tools and evaluation datasets to test the agent's logic and performance in a safe, real-world scenario environment.
Publish and Deploy: Once validated, publish the agent to UiPath Orchestrator (Maestro) to deploy it for use in end-to-end business processes.
For hands-on training, you can explore the free courses available on UiPath Academy.