Task Description (Required)

1. Investigate RHOAI Agentic Samples/Application feasibility
   1. What do they have? Do we have to wait for them? (Gabe has an application that is ready https://github.com/opendatahub-io/agents/tree/main/examples/langchain-langgraph)
2. What are the alternatives? Is it possible to wrap LCS? LCS already has
   1. Endpoints
   2. Llama-stack
   3. MCP support (future consideration)
   4. RAG integration
3. No streamlit frontend, if LCS is used as a backend
   1. Is it possible to wrap the LS plugin?
4. We can also consider Fanis' Llama Stack Streamlit Template https://github.com/redhat-ai-dev/llama-stack-template/blob/main/templates/llama-stack-agent/content/llama_stack_agent.py 
5. We will also need to investigate performance issues - async vs sync as MCP tool calls sometimes take > 2 mins for a response.
   1. Gabe Sample Application is async
   2. Fanis Llama Stack Streamlit is sync (but we can work to make it async)