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feat(container): update image ghcr.io/berriai/litellm-non_root ( v1.102.1 ➔ v1.103.0 ) #1816

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feat(container): update image ghcr.io/berriai/litellm-non_root ( v1.102.1 ➔ v1.103.0 ) #1816

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2 changes: 1 addition & 1 deletion .github/workflows/validate.yaml
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Expand Up @@ -399,7 +399,7 @@ jobs:
- name: Install Python Test Dependencies
env:
# renovate: datasource=docker depName=ghcr.io/berriai/litellm-non_root
LITELLM_VERSION: v1.102.1
LITELLM_VERSION: v1.103.0
run: |
uv pip install --system python-hcl2 "litellm[proxy]==${LITELLM_VERSION#v}"

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2 changes: 1 addition & 1 deletion kubernetes/apps/base/ai/litellm/app/litellmproxy.yaml
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Expand Up @@ -12,7 +12,7 @@ spec:
# model list. Deliberately not that (same reason the pre-operator
# config.yaml refused store_model_in_db); see generalSettings below.
applyMode: file
image: ghcr.io/berriai/litellm-non_root:v1.102.1
image: ghcr.io/berriai/litellm-non_root:v1.103.0
# ^ v1.93.0 is the FLOOR for the D3 auto-router: `classifier_type: llm` and
# classifier_llm_config first exist there. Below it ComplexityRouterConfig is
# `extra="allow"`, so those keys parse clean and are then IGNORED - the
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