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sk-moss-plugin#134

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sk-moss-plugin#134
Abhijitam01 wants to merge 4 commits intousemoss:mainfrom
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@Abhijitam01
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@Abhijitam01 Abhijitam01 commented Apr 8, 2026

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Please ensure that your PR meets the following requirements:

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Loom Video - https://www.loom.com/share/ad952712a2864eb082086ad3e26a1aa5

Abhijitam01 and others added 3 commits April 9, 2026 01:10
Adds a Python Semantic Kernel plugin that exposes Moss retrieval as a
@kernel_function, letting any SK agent query a Moss index with 3 lines
of code. Mirrors the strands-agents-moss integration pattern.

Includes plugin implementation, 14 unit/integration tests, example,
README with Quick Start and configuration docs, and TODOS.md for
follow-up work (CI/CD pipeline, .NET design doc).
feat: add Semantic Kernel plugin for Moss semantic search
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CLAassistant commented Apr 8, 2026

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Aligns with the rest of the repo — all other integration packages
(strands-agents-moss, elevenlabs-moss, pipecat-moss, moss-cli) depend
on moss and import from moss, not inferedge-moss.
@yatharthk2
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Thanks for the pr, can you please provide loom video demo ?

@yatharthk2
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is this pr still being worked upon ?

@Abhijitam01
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hey @yatharthk2 , it totally miss the comment , i have added the loom video , you can go through it , let me know if their is anything else i can do

Comment thread TODOS.md
@@ -0,0 +1,21 @@
# TODOs

## CI/CD pipeline for integration packages
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this file seems unnecessary

# SPDX-License-Identifier: BSD 2-Clause License
#

"""Semantic Kernel plugin for Moss semantic search."""
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Integration is a thin wrapper on top of the moss client. can you shift this to cookbook.

I dont expect many changes in the code, just remove the package related documentation and import functions directly from the files instead of the package

Comment on lines +13 to +16
moss = MossPlugin(
project_id=os.getenv("MOSS_PROJECT_ID"),
project_key=os.getenv("MOSS_PROJECT_KEY"),
index_name=os.getenv("MOSS_INDEX_NAME", "my-index"),
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please add .env.example

@yatharthk2
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over all code/logic looks good, I think we will be able to merge after one more iteration of review

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is this pr being worked upon ?

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3 participants