Tushar Aradwad

Corpus Hub contributor since 2026-10-15

Tushar Aradwad's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus

1selected commit

7files

436lines

★ 1GitHub stars on repo

Totals across every corpus @AradwadTushar appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the langgraph-video-auditor corpus

AradwadTushar/langgraph-video-auditor: Video ad compliance auditor. LangGraph pipeline with Azure Video Indexer, RAG over FTC/YouTube rules, and GPT-4o. FastAPI + React

Look up how langgraph-video-auditor implements azure-openai, fastapi, langgraph, with answers cited to file and line.
Reuse a worked example: the commit “resolve model temperature compatibility, add direct api fallback…” (7 files · Python, JavaScript).
Answer from langgraph-video-auditor's real Python source instead of memory (AI, prompts and agents).

Example questions

How does langgraph-video-auditor implement azure-openai?
What does backend do in langgraph-video-auditor?

Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.

Search the GitHub repository AradwadTushar/langgraph-video-auditor with XERJ (https://hub.xerj.org/corpus/aradwadtushar--langgraph-video-auditor).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/AradwadTushar/langgraph-video-auditor langgraph-video-auditor && git -C langgraph-video-auditor checkout e164fcb9a704c2607d633252367ec9eb147d1534
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./langgraph-video-auditor --url http://127.0.0.1:9200 --prefix langgraph-video-auditor --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

corpus aradwadtushar--langgraph-video-auditor · AI, prompts and agents
Related corpora: adalflow, haystack, ShauryaaSharma/lore-backend, mahmoud-emad/opennotebook
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 1

AradwadTushar/langgraph-video-auditor

e164fcb9a7 fix: resolve model temperature compatibility, add direct api fallback…

selected commit: 7 files · 436 lines · Python, JavaScript · backend, frontend, the project root

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus aradwadtushar--langgraph-video-auditorAIMITazure-openaifastapilanggraphllmragreact agreed 2026-10-15

Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/AradwadTushar/badge.svg)](https://hub.xerj.org/contributors/AradwadTushar)

Included with the author's permission (email, 2026-10-15), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.