Skip to content

Agent Builder

Create and deploy autonomous AI agents that interact with enterprise applications, tools, and data using the watsonx Orchestrate Agentic Development Kit (ADK).

Why This Matters

  • Agent-based automation is complex. Building production-ready agents requires orchestrating LLMs, tools, memory, and enterprise integrations—without a framework, teams spend months on infrastructure instead of business logic.
  • Manual agent development doesn't scale. Hand-coding every agent interaction, tool call, and error path creates brittle systems that break when requirements change.
  • Enterprise agents need governance. Agents accessing sensitive data and systems require versioning, testing, observability, and audit trails that ad-hoc implementations can't provide.
  • Deployment friction slows adoption. Moving agents from development to production involves complex infrastructure, authentication, and monitoring setup that delays time-to-value.
  • Documentation access accelerates development. Agent Builder comes with a pre-configured ADK documentation MCP server, providing instant access to API references, examples, and best practices directly within your development workflow.

What's Covered

Component What It Provides
Agent Development Kit (ADK) Python library and CLI for building agents on watsonx Orchestrate
Core Capabilities Prompt configuration, tool integration, evaluation, and lifecycle management

Agent Development Kit (ADK)

Build agents using a Python-based framework that runs on the watsonx Orchestrate platform.

Key Features

Feature Description
Python Library Programmatic agent creation with Python SDK
CLI Tool Command-line interface for agent management and deployment
watsonx Orchestrate Integration Native deployment to enterprise orchestration platform
Framework Interoperability Integrate agents and tools built on other frameworks (LangChain, CrewAI, etc.)

Core Capabilities

Prompt Configuration

Define agent behavior through natural language instructions:

  • System Instructions - Core agent purpose and behavior guidelines
  • Conversation Rules - How agents should interact with users
  • Boundaries & Constraints - What agents should and shouldn't do
  • Escalation Paths - When to involve human oversight

Tool Integration

Connect agents to enterprise systems and APIs:

  • Pre-built Connectors - Ready-to-use integrations for common systems
  • Custom Tools - Build custom tool integrations for proprietary systems
  • API Wrappers - Automatically generate tools from OpenAPI specifications
  • Database Access - Query databases directly from agents

Agent Evaluation

Test and validate agent performance before deployment:

  • Accuracy Testing - Verify agents produce correct outputs
  • Behavior Validation - Ensure agents follow instructions and boundaries
  • Performance Metrics - Measure response time and resource usage
  • Safety Checks - Test for harmful outputs and security issues

Lifecycle Management

Manage agents throughout their operational lifecycle:

  • Versioning - Track agent changes over time
  • Testing - Automated testing before deployment
  • Deployment - Push agents to production environments
  • Monitoring - Track agent performance and usage
  • Updates - Roll out improvements and fixes

Use Cases

  • Customer Service - Handle inquiries, route tickets, and provide 24/7 automated support
  • HR Automation - Automate leave approvals, benefits enrollment, and policy queries using Workday APIs
  • Finance Operations - Process expense reports, invoices, and compliance checks
  • Data Analysis - Query databases, generate reports, and provide insights
  • IT Support - Troubleshoot issues, monitor systems, and automate incident management
  • Content Generation - Create documentation, summaries, and communications

Resources

GitHub Repository

Agent Builder Assets