What XERJ indexed
Snapshot
The whole repository at commit f94c52e63a (2026-09-30). main is 41 commits ahead.
Selected work
“stream response-level provider_specific_fields in …”. 5 files, 277 lines in tests, langchain_litellm.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-25. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
langchainlitellm
Example questions
- How does langchain-litellm implement langchain?
- What does langchain_litellm do in langchain-litellm?
- Show the litellm code in langchain-litellm.
Inside the indexed corpus
- Languages by size: Python 99.6%, Makefile 0.3%, Shell 0.1%.
- On GitHub since 2025-04-01, last push 2026-10-29, 315 commits on main.
- The pin is 41 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for langchain-ai/langchain-litellm on 2026-10-29, and the LICENSE file at commit f94c52e63a was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Akshay Dongare (@Akshay-Dongare) has 2 selected repositories on the hub.
Their other repository pages: Akshay-Dongare/akshaydongare.com.
Using XERJ with langchain-litellm
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- Best MCP servers for local code search in 2026, compared
- Best grep alternative for AI coding agents (2026)
- Ask questions about a GitHub repo without cloning it
The prompt
Paste it into your AI agent. It clones langchain-ai/langchain-litellm at the pinned commit and indexes it on your machine.
Search the GitHub repository langchain-ai/langchain-litellm with XERJ (https://hub.xerj.org/corpus/langchain-ai--langchain-litellm). 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/langchain-ai/langchain-litellm langchain-litellm && git -C langchain-litellm checkout f94c52e63a78ce887cfb45883c756c34fa0c449c 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./langchain-litellm --url http://127.0.0.1:9200 --prefix langchain-litellm --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.
Related
Akshay DongareAI, prompts and agents corporaagentopsanonalabs/Anona-Memory-SDKmoseleydev/swarm-kitZwony/ecotrace
Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.