Create an AI agent version control manifest for developers architect full versioning controll + logging+monitoring for agents.
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Description
### Description
One of the core and essential elements for safe experimentation is versioning. For instance:
- prompt version
- Model used
- Tool configuration
- Environment (DBses, memory..)
- Releases note.
Architect full traceability for any agent, include history and semantic tags that form the backbone of safe innovation.
**Architect the stack for monitoring, logging and observability.**
GitHub Repos (mono-repo or multi-repo)
Git tags + Releases (SemVer)
CODEOWNERS + branch protection (who approves changes)
**What you version**
Agent definition: agent.yaml / agent.json (capabilities, allowed tools, routing rules)
Prompts & templates: prompt files with metadata (owner, risk class, intended use)
Tool contracts: OpenAPI specs for internal/external APIs
Policy & guardrails: allowed data classes, redaction rules, “human-in-the-loop” gates
Eval sets: regression test cases + “golden answers” for the agent
Create an AI Manifest + json template
See attached pic
Inspiration from : https://app.pluralsight.com/ilx/video-courses/db1be86a-504d-4536-9952-a78ca4fd50ff/f8f3628f-ef3a-41e5-b0af-3c119899ea14/a0da5673-4f17-4b93-9ebe-024a7110a6c6
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