Notes

python main.py
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Assignment 10 — Unified Engineering Assistant (Capstone)
Thread ID: shift-2024-11-15
======================================================================

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USER: What is the difference between microservices and a monolith?
──────────────────────────────────────────────────────────────────────

[supervisor] Query: 'What is the difference between microservices and a monolith?'
[supervisor] Route → RAG
[rag_worker] Calling rag_search for: 'What is the difference between microservices and a monolith?'
Traceback (most recent call last):
File "C:UsersukumbharWorkagentic-engineering-stacka10_unified_engineering_assistantmain.py", line 294, in <module>
main()
~~~~^^
File "C:UsersukumbharWorkagentic-engineering-stacka10_unified_engineering_assistantmain.py", line 280, in main
ans = run_query(graph, q)
File "C:UsersukumbharWorkagentic-engineering-stacka10_unified_engineering_assistantmain.py", line 262, in run_query
result = graph.invoke(state_in, config=CONFIG)
File "C:UsersukumbharWorkagentic-engineering-stackvenvLibsite-packageslanggraphpregelmain.py", line 3880, in invoke
for chunk in self.stream(
~~~~~~~~~~~^
input,
^^^^^^
...<11 lines>...
**kwargs,
^^^^^^^^^
):
^
File "C:UsersukumbharWorkagentic-engineering-stackvenvLibsite-packageslanggraphpregelmain.py", line 2936, in stream
for _ in runner.tick(
~~~~~~~~~~~^
[t for t in loop.tasks.values() if not t.writes],
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<2 lines>...
schedule_task=loop.accept_push,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "C:UsersukumbharWorkagentic-engineering-stackvenvLibsite-packageslanggraphpregel_runner.py", line 207, in tick
run_with_retry(
~~~~~~~~~~~~~~^
t,
^^
...<10 lines>...
},
^^
)
^
File "C:UsersukumbharWorkagentic-engineering-stackvenvLibsite-packageslanggraphpregel_retry.py", line 585, in run_with_retry
return task.proc.invoke(task.input, config)
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^
File "C:UsersukumbharWorkagentic-engineering-stackvenvLibsite-packageslanggraph_internal_runnable.py", line 684, in invoke
input = context.run(step.invoke, input, config, **kwargs)
File "C:UsersukumbharWorkagentic-engineering-stackvenvLibsite-packageslanggraph_internal_runnable.py", line 426, in invoke
ret = self.func(*args, **kwargs)
File "C:UsersukumbharWorkagentic-engineering-stacka10_unified_engineering_assistantmain.py", line 111, in rag_worker
with mcp:
^^^
TypeError: 'Client' object does not support the context manager protocol
During task with name 'rag_worker' and id '309e8400-878d-698c-1ce3-4a1d2b084ef7'