Context
We've been engaged with the Praxis team regarding potential infrastructure collaboration. See: praxis-proxy/praxis#481
Proposal
Praxis offers a proxy solution to intercept and manipulate LLM requests and responses. Instead of maintaining separate proxy infrastructure for Skillberry-Agent's request/response enhancement capabilities, we should investigate whether we can integrate with Praxis to:
- Intercept LLM requests and responses dynamically
- Apply optimized assets from our skills store
- Reduce infrastructure duplication between projects
What needs investigation
- Technical feasibility of integrating Praxis with our current LangGraph + MCP pipeline
- API compatibility and extension points
- Performance implications
- Whether Praxis can support the dynamic optimization use cases in Skillberry-Agent
- Timeline and effort required for integration
Related
Context
We've been engaged with the Praxis team regarding potential infrastructure collaboration. See: praxis-proxy/praxis#481
Proposal
Praxis offers a proxy solution to intercept and manipulate LLM requests and responses. Instead of maintaining separate proxy infrastructure for Skillberry-Agent's request/response enhancement capabilities, we should investigate whether we can integrate with Praxis to:
What needs investigation
Related