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Jido.AI Operational Agents Pack

Operational overview/index linking to deterministic workbench examples and upstream Jido.AI ops-agent sources.

primary reference ai l2 ops-governance jido_ai operations overview

Related guides and notebooks

Tutorial
Multi-agent orchestration
Operational orchestration and specialization patterns.
Livebook
Multi-agent orchestration
Run the companion notebook in Livebook
Source
api smoke test agent
ReAct-driven API endpoint testing and debugging.
Source
issue triage agent
Secure token injection pattern and safe GitHub operations.
Source
release notes agent
Graph-of-Thoughts synthesis for release note generation.
Explanation

What this example teaches

Interactive Demo

Run the agent and inspect state

Source Code

Read the production implementation

What you’ll learn

  • How to break a broad operational pack into narrower deterministic examples
  • How to choose which local workbench example best matches your ops workflow
  • Where to go for upstream Jido.AI ops-agent sources that preserve the original API smoke, triage, and release-notes concepts

What this page is

This page is an overview/index. It is not one runnable “operational pack” demo.

The demo tab now points to a dedicated operational index surface that links to real deterministic examples already in this repo. Use those linked pages when you want runnable proof, and use the upstream source links when you want the original Jido.AI operational agent implementations.

Included workflows

  • release or handoff workflow coordination
  • scheduled follow-up and remediation
  • durable state and restart-friendly operational flows

Upstream source references

The original pack concepts are still preserved as source references:

  • API smoke testing
  • GitHub issue triage
  • release notes synthesis

Demo note

No simulator-backed “run this whole pack” trace remains on this page. The interactive tab is a navigable operational index, and the linked local examples are the deterministic runnable surfaces.