veloce
Async Python web framework where one route definition drives HTTP, OpenAPI and MCP tools. ASGI-native, written from scratch, batteries included
What XERJ indexed
Snapshot
The whole repository at commit c4bfe5313b (2026-10-29). main is 5 commits ahead.
Selected work
“elect the first-request latch with a lock no event loop owns”. 5 files, 347 lines in tests, src/veloce.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-29. 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
asgiasyncasynciohttpmcpopenapipythonrest-api
Example questions
- How does veloce implement asgi?
- Where does veloce handle “elect the first-request latch with a lock no event loop owns”?
- What does src/veloce do in veloce?
Inside the indexed corpus
- 1,111 files, 9.3 MB in total, about 8.6 KB per file.
- The selected commit changed 5 of those files (0.5%).
- Languages by size: Python 100%, HTML 0%.
- On GitHub since 2026-05-20, last push 2026-10-29, 1,288 commits on main.
- The pin is 5 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for Lokesh-Tallapaneni/veloce on 2026-10-31, and the LICENSE file at commit c4bfe5313b was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Lokesh-Tallapaneni (@Lokesh-Tallapaneni) has 1 selected repository on the hub.
Using XERJ with veloce
- Code search MCP for Claude Code: cite file:line, not grep veloce is tagged mcp on GitHub.
- What is an MCP memory server?
- Search an OpenAPI spec so an agent can find endpoints veloce is tagged openapi on GitHub.
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
The prompt
Paste it into your AI agent. It clones Lokesh-Tallapaneni/veloce at the pinned commit and indexes it on your machine.
Search the GitHub repository Lokesh-Tallapaneni/veloce with XERJ (https://hub.xerj.org/corpus/lokesh-tallapaneni--veloce). 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/Lokesh-Tallapaneni/veloce veloce && git -C veloce checkout c4bfe5313b701bbab9d8856dcddaaf19ca01cc97 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./veloce --url http://127.0.0.1:9200 --prefix veloce --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
Lokesh-TallapaneniAI, prompts and agents corporaaiohttphttpxoasdiffdymmond/ravyncoregx/fursyAmz34/sap-mcp
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.