Welcome to AI Agents for OSM’s documentation!

Contents:

• 1. Scope
• 2. Understanding the Concept
  • 2.1. Introduction
  • 2.2. What about AI Models?
  • 2.3. Integration in the OSM architecture
• 3. Usage
  • 3.1. Quickstart
  • 3.2. Deploying my own AI Agent
  • 3.3. AI Agent Configuration
• 4. Contribute to the code
  • 4.1. Report a Bug
  • 4.2. Contribution Guidelines
• 5. Q&A
  • 5.1. Which OSM release do we need?
  • 5.2. Could we deploy these AI Agents on other ETSI NFV platforms besides OSM?
  • 5.3. Can we use an AI framework other than Tensor Flow Serving?
  • 5.4. Is it possible to perform other orchestration actions beyond scaling?
  • 5.5. Which VIMs can be used to host the VNFs created by running the descriptors from OSM to launch AI-Agents?
  • 5.6. Which AI Models are supported?
  • 5.7. Can the conditions to be assessed by the thresholds be modified?
  • 5.8. If I have several models in the ‘values.yaml’ file, how can I select the one I want to work with?
  • 5.9. Is it possible to have several AI Agents running?
  • 5.10. What OSM installation options should we use?
  • 5.11. Is this an official OSM feature?
• 6. Roadmap
• 7. Usage License
• 8. Contact
• 9. Acknowledgement
• 10. Annex 1. AI Models Server installation procedure
  • 10.1. Installing TensorFlow Serving
  • 10.2. Configuring AI Models
• 11. Annex 2. AI Agent Code
  • 11.1. AI Agent Orchestrator
  • 11.2. Interfaces

OSM (Open Source MANO) is a well-known ETSI-hosted project providing an open source Management and Orchestration (MANO) stack aligned with the ETSI NFV Information Models. The AI-Agents for OSM functionality described here is intended for automating the deployment of Artificial Intelligence Agents on the Virtual Network Functions (VNFs) orchestrated from the OSM platform. This functionality has been developed in the in the context of the H2020 5GTours Project and in a close communication with the Open Source MANO community. The code is OpenSource, and it is available from the ATOS GitLab repository.