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In Jupyter, showing partial responses is very UX-friendly. Use LangChain's streaming interface to update a cell incrementally.

In Review

Add Streaming Response for Jupyter/REPL

Haris Jabbar

Right now each question is stateless. Add an optional conversation memory (e.g., past 3 Q&amp;A pairs) in <code>AgentState["messages"]</code>, and pass them to the LLM for better coherence.

Add Memory / Conversation History

Currently the prompts are quite vanilla. There is significant room for improvement for better prompt templates.

Better prompts

Currently everything is sequential. Instead:<ul><li>Gather traceback, module info, and context summary concurrently.</li><li>Use <code>async def</code> and <code>asyncio.gather()</code> for performance (especially in Jupyter).</li></ul>

Async & Parallel Context Gathering

Currently, we add docs for all submodules as context. This can quickly get expensive or even run out of context window. We need to do smart context engineering by using RAG/Summarization/Selective filtering or a combination of these.

Sagely

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