Hi all. Anyone has an idea how to use

create a query engine from the pipeline

https://docs.llamaindex.ai/en/stable/examples/query_engine/custom_query_engine.html#defining-a-custom-query-engine

You can do

from llama_index.core.tools import QueryEngineTool
tool = QueryEngineTool(query_engine=query_engine, metadata=...)

I think since the query pipeline is not a query engine, this won't work? (Unless I missed that in the base class lol)

more like this:

tool = QueryEngineTool(query_engine=AgentRunner(
agent_worker=QueryPipelineAgentWorker(pipeline=get_query_pipeline()))
)

I think the custom query engine approach is slightly more correct imo -- no need to bring an agent or memory into this