dishka-faststream

Dishka DI integration for FastStream framework

A new way for AI to search for data
View on GitHub
49GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit f013b542f3 (2026-09-26).

Selected work

Danil Kovalev
@C3EQUALZz

“add dependency injection for broker callbacks”. 4 files, 195 lines in src/dishka_faststream, tests, examples.

Licence

The repository

Apache-2.0

Checked by a person at the pinned commit.

The XERJ corpus

Apache-2.0, with credit

The author agreed by email on 2026-10-12. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

dishkafaststreampython

Example questions

The prompt

Paste it into your AI agent. It clones faststream-community/dishka-faststream at the pinned commit and indexes it on your machine.

Search the GitHub repository faststream-community/dishka-faststream with XERJ (https://hub.xerj.org/corpus/faststream-community--dishka-faststream).
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/faststream-community/dishka-faststream dishka-faststream && git -C dishka-faststream checkout f013b542f30025ab54802fd021c572769cf5fff8
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./dishka-faststream --url http://127.0.0.1:9200 --prefix dishka-faststream --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: Apache-2.0. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.