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tenstorrent/tt-inference-server

https://github.com/tenstorrent/tt-inference-server · scanned 2026-06-16 04:39 UTC (1 month, 3 weeks ago)

5 raw signals (0 security + 5 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 3 weeks ago · v1 · 5 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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All 21 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.

LabelLayerStatusPath
parse_device_ids software dead run.py:67
parse_arguments software healthy run.py:82
handle_secrets software healthy run.py:538
get_current_commit_sha software healthy run.py:605
format_cli_args_summary software healthy run.py:614
populate_model_spec_cli_args software healthy run.py:664
resolve_runtime software healthy run.py:680
handle_maintenance_args software healthy run.py:715
main software healthy run.py:726

LabelLayerStatusPath
README.md software healthy README.md
pyproject.toml software healthy pyproject.toml
release_model_spec.json software healthy release_model_spec.json
LICENSE software healthy LICENSE
requirements-dev.txt software healthy requirements-dev.txt
.pre-commit-config.yaml software healthy .pre-commit-config.yaml
docker-entrypoint.sh software healthy docker-entrypoint.sh
run.py software healthy run.py

LabelLayerStatusPath
192.168.1.10 network healthy run.py
127.0.0.1 network healthy run.py

LabelLayerStatusPath
tenstorrent__tt-inference-server software healthy /data/fable5_failed_archive/tenstorrent__tt-inference-server

LabelLayerStatusPath
auth::run.py security healthy run.py
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