← Back to the AI Code RadarSource-backed technology dossier

LiteLLM

pypi:litellm
model-api

This dossier groups exact published references to one stable package or container identity. Counts are evidence—not market share or deployment.

A technology identity is counted only when the allowlisted parser finds its exact package or container reference. Similar names and descriptive claims remain excluded.

exact identity + commit SHA + exact file path
1repositories
1evidence rows
1with exact version
pythonEcosystem
Exact published evidence

Repositories and files carrying this identity

Every row keeps the exact source path and commit SHA. Open the source to inspect the evidence in its original context.

manifest_dependency · direct declarationkiva-llm-gatewaydocker/build_from_pip/requirements.txt
Exact identityLiteLLMpypi:litellm
Version==1.67.4.dev14a5cd798be
Open exact source ↗
Stable profile

Machine-readable identity and observation window

Exact identity
pypi:litellm
Category
model-api
Ecosystem
python
First observed
18 Jul 2026
Last observed
18 Jul 2026
Interpretation boundary

What this page can—and cannot—show

The page is a deterministic projection of official public GitLab data. A missing row means not observed within the bounded files and checkpoint, not absent in reality.

Retrieval, parsing and publishing use no generative AI model.Open official source ↗

i6eal (2026): LiteLLM — source-backed AI code evidence dossier, data state 18 Jul 2026. https://i6eal.de/en/tools/ki-code-radar/technologie/litellm-e00b5c8b/

Reading this dossier

Does this dossier prove productive use?
No. It documents only an exact technology reference published in code at an observed commit.
Why are the commit SHA and file path retained?
Together with the stable GitLab project ID, they make every displayed finding inspectable and resistant to later repository changes.
What does a missing version mean?
The exact identity was observable, but the inspected source did not publish a version that the deterministic parser could retain.

Need a permanent evidence trail for another public dataset?

Discuss a data projectExplore all tools