ifa

Read-only diagnostics for LLM inference on Kubernetes. Correlates vLLM and Triton telemetry with cluster state into 19 coded…

A new way for AI to search for data
View on GitHub
3GitHub stars

Go, shell

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit c2f82591bb (2026-10-22).

Selected work

“dynamic multi-scrape integration validation (Scenarios A-F)”. 6 files, 2,337 lines in test, scripts, deploy.

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 2026-10-23. 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

golanggpuhelminferencekubernetesllm-inferenceobservabilityprometheus

Example questions

The prompt

Paste it into your AI agent. It clones p95labs/ifa at the pinned commit and indexes it on your machine.

Search the GitHub repository p95labs/ifa with XERJ (https://hub.xerj.org/corpus/p95labs--ifa).
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/p95labs/ifa ifa && git -C ifa checkout c2f82591bb5414e8c9b176a4831ca49062b16fa6
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./ifa --url http://127.0.0.1:9200 --prefix ifa --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.