Built an open-source governance & observability layer for AI capabilities in Spring Boot — looking for feedback

Hi everyone,

I've been working on an open-source project called Capstead, a governance and observability control plane for AI capabilities in Spring Boot.

As teams add more AI features, I found it difficult to answer questions like:

• Which AI capabilities does our application expose?
• Who owns each capability?
• How much does each capability cost?
• Which capabilities are failing or exceeding latency budgets?

Spring AI already provides excellent model-level integrations and metrics. Capstead is designed to sit above that layer by treating AI features as business capabilities.

With a simple u/Capability annotation (or a bodyless u/CapabilityClient interface), it provides:

• Live capability catalog
• Per-capability cost attribution, latency, success rate, and token usage
• Daily budget enforcement
• Durable execution history with parent/child execution trees
• MCP export so capabilities can be exposed as agent tools
• Provider-neutral support (Spring AI, LangChain4j, custom SDKs, or any HTTP client)

The goal is to provide a governance layer on top of existing AI integrations.

I'd really appreciate feedback from the Spring community:

• Does this solve a problem you've encountered?
• Are there capabilities or integrations you'd expect to see?
• Is there a better approach to capability discovery or governance in Spring applications?

GitHub: https://github.com/satya-anguluri/capstead

Thanks!

https://preview.redd.it/i6oo993px0dh1.png?width=1731&format=png&auto=webp&s=7d045f9d8153bff6dcd22877e67f018b5226763d