Developing visual chat interface for collaboration - #1
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@copilot Give GitHub a single, focused objective. For example:
Create the foundational MBTQ Studio registry architecture.
Goal:
- Make the system registry-driven so architecture, workflows, and documentation share a single source of truth.
Tasks:
-
Create a "/specs" directory with:
- "services/"
- "agents/"
- "workflows/"
- "dispatch/"
- "magicians/"
- "providers/"
- "runtimes/"
- "events/"
- "policies/"
- "registries/"
-
Define versioned JSON or YAML schemas for:
- "service.spec"
- "agent.spec"
- "workflow.spec"
- "dispatch.spec"
- "magician.spec"
- "provider.spec"
- "runtime.spec"
-
Every specification must include:
- unique ID
- name
- version
- description
- inputs
- outputs
- dependencies
- events produced
- events consumed
- runtime
- security requirements
- permissions
- health checks
- lifecycle state
- owner
- tags
-
Add validation so every spec is checked during pull requests using GitHub Actions.
-
Generate a machine-readable registry index from all specs.
-
Keep the implementation framework-agnostic so it supports FastAPI, Deno, Python workers, and future runtimes.
Do not implement business logic yet. Build only the reusable registry foundation and validation pipeline that future MBTQ Studio components will use.After that foundation is merged, the next GitHub workflow should automatically:
validate every spec,
build the registry index,
generate architecture documentation,
and fail the PR if any spec is invalid.
This gives me a solid foundation before adding DeveloperMagician, BusinessMagician, dispatch engines, or other agents.
Implemented in commit Added the registry foundation with |
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@copilot Mbtq.dev domain is not available so we will use vr4deaf.org or custom
Pull request created by AI Agent