Testing watsonx Orchestrate Agents with Bob

· Source: Niklas Heidloff · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, medium

Summary

IBM Bob, an AI-based software development tool, can be extended to test watsonx Orchestrate agents, specifically enabling multi-turn conversations. This post details how to enhance an Orchestrate skill to invoke REST APIs, overcoming the "orchestrate" CLI's limitation in handling multi-turn interactions. The described method is optimized for the local Orchestrate Developer Environment and uses ADK version 2.0.10. An example flow illustrates creating a "Trip Booking" agent, installing the "orchestrate" CLI, generating agent code, importing resources, and then executing both single-turn and multi-turn conversation tests. These tests utilize a "wxo-chat.sh" script that programmatically interacts with watsonx Orchestrate agents via its REST API, demonstrating a complete agent development and verification lifecycle.

Key takeaway

For AI Engineers developing watsonx Orchestrate agents, you should integrate REST API calls into your testing workflow to enable robust multi-turn conversation validation. This approach, demonstrated with IBM Bob and ADK version 2.0.10, ensures comprehensive agent verification beyond single-turn interactions. Implement a "wxo-chat.sh"-like script to programmatically manage conversation threads, ensuring your agents are thoroughly tested before deployment. This is crucial for agents requiring complex, stateful interactions.

Key insights

Extending IBM Bob with watsonx Orchestrate REST APIs enables robust multi-turn conversation testing for AI agents.

Principles

Method

Extend an Orchestrate skill to call REST APIs for multi-turn conversation testing. The process involves activating the skill, installing the "orchestrate" CLI, generating agent code, importing resources, then executing single- and multi-turn tests via a "wxo-chat.sh" script.

In practice

Topics

Code references

Best for: AI Engineer, Machine Learning Engineer, MLOps Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Niklas Heidloff.