Releases: weka/wekai
Release list
v6.1.2
Install
Prebuilt binaries (linux amd64/arm64, macOS Apple Silicon) are
attached below, e.g.:
curl -fsSL https://github.com/weka/wekai/releases/download/v6.1.2/wekai_v6.1.2_$(uname -s | tr A-Z a-z)_$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/').tar.gz | tar -xz
Benchmark
Replay benchmark against your endpoint (see chart README for all values).
This image embeds the replay artifact, so no volume or fetch step is needed:
helm upgrade --install my-replay oci://quay.io/weka.io/helm/wekai \
--version v6.1.2 \
--set endpoint=http://YOUR-LLM-HOST:8000
docker pull quay.io/weka.io/wekai:v6.1.2
Router
Model-aware LLM router with prefix-cache affinity. Separate,
replay-less image — same binary, without the multi-GB replay layer a
router never reads.
Point it at your fleet by pod label. Each discovered pod contributes
its own port, so several DaemonSets on different ports stay one pool:
helm upgrade --install my-router oci://quay.io/weka.io/helm/wekai-router \
--version v6.1.2 \
--set-string 'router.backends[0].pods.app=vllm' \
--set-string 'router.backends[0].port=http'
A static list works the same way, and the two can be mixed:
--set-string 'router.backends[0]=http://vllm-a:8000' \
--set-string 'router.backends[1]=http://vllm-b:8000'
Per-model routes, a hosted fallback and credentials are in
docs/router.md.
docker pull quay.io/weka.io/wekai-router:v6.1.2
CLI (binary is named wekai):
go install github.com/weka/wekai@v6.1.2
Full Changelog: v6.1.1...v6.1.2
v6.0.4
Install
Prebuilt binaries (linux amd64/arm64, macOS Apple Silicon) are
attached below, e.g.:
curl -fsSL https://github.com/weka/wekai/releases/download/v6.0.4/wekai_v6.0.4_$(uname -s | tr A-Z a-z)_$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/').tar.gz | tar -xz
Benchmark
Replay benchmark against your endpoint (see chart README for all values).
This image embeds the replay artifact, so no volume or fetch step is needed:
helm upgrade --install my-replay oci://quay.io/weka.io/helm/wekai \
--version v6.0.4 \
--set endpoint=http://YOUR-LLM-HOST:8000
docker pull quay.io/weka.io/wekai:v6.0.4
Router
Model-aware LLM router with prefix-cache affinity. Separate,
replay-less image — same binary, without the multi-GB replay layer a
router never reads:
helm upgrade --install my-router oci://quay.io/weka.io/helm/wekai-router \
--version v6.0.4 \
--set router.routes[0]="* => http://vllm-a:8000|http://vllm-b:8000"
docker pull quay.io/weka.io/wekai-router:v6.0.4
CLI (binary is named wekai):
go install github.com/weka/wekai@v6.0.4
Full Changelog: v6.0.3...v6.0.4
v6.0.3
Install
Prebuilt binaries (linux amd64/arm64, macOS Apple Silicon) are
attached below, e.g.:
curl -fsSL https://github.com/weka/wekai/releases/download/v6.0.3/wekai_v6.0.3_$(uname -s | tr A-Z a-z)_$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/').tar.gz | tar -xz
Benchmark
Replay benchmark against your endpoint (see chart README for all values).
This image embeds the replay artifact, so no volume or fetch step is needed:
helm upgrade --install my-replay oci://quay.io/weka.io/helm/wekai \
--version v6.0.3 \
--set endpoint=http://YOUR-LLM-HOST:8000
docker pull quay.io/weka.io/wekai:v6.0.3
Router
Model-aware LLM router with prefix-cache affinity. Separate,
replay-less image — same binary, without the multi-GB replay layer a
router never reads:
helm upgrade --install my-router oci://quay.io/weka.io/helm/wekai-router \
--version v6.0.3 \
--set router.routes[0]="* => http://vllm-a:8000|http://vllm-b:8000"
docker pull quay.io/weka.io/wekai-router:v6.0.3
CLI (binary is named wekai):
go install github.com/weka/wekai@v6.0.3
Full Changelog: v6.0.2...v6.0.3
v6.0.2
Install
Prebuilt binaries (linux amd64/arm64, macOS Apple Silicon) are
attached below, e.g.:
curl -fsSL https://github.com/weka/wekai/releases/download/v6.0.2/wekai_v6.0.2_$(uname -s | tr A-Z a-z)_$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/').tar.gz | tar -xz
Benchmark
Replay benchmark against your endpoint (see chart README for all values).
This image embeds the replay artifact, so no volume or fetch step is needed:
helm upgrade --install my-replay oci://quay.io/weka.io/helm/wekai \
--version v6.0.2 \
--set endpoint=http://YOUR-LLM-HOST:8000
docker pull quay.io/weka.io/wekai:v6.0.2
Router
Model-aware LLM router with prefix-cache affinity. Separate,
replay-less image — same binary, without the multi-GB replay layer a
router never reads:
helm upgrade --install my-router oci://quay.io/weka.io/helm/wekai-router \
--version v6.0.2 \
--set router.routes[0]="* => http://vllm-a:8000|http://vllm-b:8000"
docker pull quay.io/weka.io/wekai-router:v6.0.2
CLI (binary is named wekai):
go install github.com/weka/wekai@v6.0.2
Full Changelog: v6.0.1...v6.0.2
v6.0.1
Install
Prebuilt binaries (linux amd64/arm64, macOS Apple Silicon) are
attached below, e.g.:
curl -fsSL https://github.com/weka/wekai/releases/download/v6.0.1/wekai_v6.0.1_$(uname -s | tr A-Z a-z)_$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/').tar.gz | tar -xz
Benchmark
Replay benchmark against your endpoint (see chart README for all values).
This image embeds the replay artifact, so no volume or fetch step is needed:
helm upgrade --install my-replay oci://quay.io/weka.io/helm/wekai \
--version v6.0.1 \
--set endpoint=http://YOUR-LLM-HOST:8000
docker pull quay.io/weka.io/wekai:v6.0.1
Router
Model-aware LLM router with prefix-cache affinity. Separate,
replay-less image — same binary, without the multi-GB replay layer a
router never reads:
helm upgrade --install my-router oci://quay.io/weka.io/helm/wekai-router \
--version v6.0.1 \
--set router.routes[0]="* => http://vllm-a:8000|http://vllm-b:8000"
docker pull quay.io/weka.io/wekai-router:v6.0.1
CLI (binary is named wekai):
go install github.com/weka/wekai@v6.0.1
Full Changelog: v6.0.0...v6.0.1
v6.0.0
Install
Prebuilt binaries (linux amd64/arm64, macOS Apple Silicon) are
attached below, e.g.:
curl -fsSL https://github.com/weka/wekai/releases/download/v6.0.0/wekai_v6.0.0_$(uname -s | tr A-Z a-z)_$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/').tar.gz | tar -xz
Benchmark
Replay benchmark against your endpoint (see chart README for all values).
This image embeds the replay artifact, so no volume or fetch step is needed:
helm upgrade --install my-replay oci://quay.io/weka.io/helm/wekai \
--version v6.0.0 \
--set endpoint=http://YOUR-LLM-HOST:8000
docker pull quay.io/weka.io/wekai:v6.0.0
Router
Model-aware LLM router with prefix-cache affinity. Separate,
replay-less image — same binary, without the multi-GB replay layer a
router never reads:
helm upgrade --install my-router oci://quay.io/weka.io/helm/wekai-router \
--version v6.0.0 \
--set router.routes[0]="* => http://vllm-a:8000|http://vllm-b:8000"
docker pull quay.io/weka.io/wekai-router:v6.0.0
CLI (binary is named wekai):
go install github.com/weka/wekai@v6.0.0
Full Changelog: v5.0.2...v6.0.0
v5.0.2
Install
Prebuilt binaries (linux amd64/arm64, macOS Apple Silicon) are
attached below, e.g.:
curl -fsSL https://github.com/weka/wekai/releases/download/v5.0.2/wekai_v5.0.2_$(uname -s | tr A-Z a-z)_$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/').tar.gz | tar -xz
Benchmark
Replay benchmark against your endpoint (see chart README for all values).
This image embeds the replay artifact, so no volume or fetch step is needed:
helm upgrade --install my-replay oci://quay.io/weka.io/helm/wekai \
--version v5.0.2 \
--set endpoint=http://YOUR-LLM-HOST:8000
docker pull quay.io/weka.io/wekai:v5.0.2
Router
Model-aware LLM router with prefix-cache affinity. Separate,
replay-less image — same binary, without the multi-GB replay layer a
router never reads:
helm upgrade --install my-router oci://quay.io/weka.io/helm/wekai-router \
--version v5.0.2 \
--set router.routes[0]="* => http://vllm-a:8000|http://vllm-b:8000"
docker pull quay.io/weka.io/wekai-router:v5.0.2
CLI (binary is named wekai):
go install github.com/weka/wekai@v5.0.2
Full Changelog: v5.0.1...v5.0.2
v5.0.1
Install
Prebuilt binaries (linux amd64/arm64, macOS Apple Silicon) are
attached below, e.g.:
curl -fsSL https://github.com/weka/wekai/releases/download/v5.0.1/wekai_v5.0.1_$(uname -s | tr A-Z a-z)_$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/').tar.gz | tar -xz
Benchmark
Replay benchmark against your endpoint (see chart README for all values).
This image embeds the replay artifact, so no volume or fetch step is needed:
helm upgrade --install my-replay oci://quay.io/weka.io/helm/wekai \
--version v5.0.1 \
--set endpoint=http://YOUR-LLM-HOST:8000
docker pull quay.io/weka.io/wekai:v5.0.1
Router
Model-aware LLM router with prefix-cache affinity. Separate,
replay-less image — same binary, without the multi-GB replay layer a
router never reads:
helm upgrade --install my-router oci://quay.io/weka.io/helm/wekai-router \
--version v5.0.1 \
--set router.routes[0]="* => http://vllm-a:8000|http://vllm-b:8000"
docker pull quay.io/weka.io/wekai-router:v5.0.1
CLI (binary is named wekai):
go install github.com/weka/wekai@v5.0.1
Full Changelog: v5.0.0...v5.0.1
v4.8.3
Install
Prebuilt binaries (linux amd64/arm64, macOS Apple Silicon) are
attached below, e.g.:
curl -fsSL https://github.com/weka/wekai/releases/download/v4.8.3/wekai_v4.8.3_$(uname -s | tr A-Z a-z)_$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/').tar.gz | tar -xz
Helm (replay benchmark against your endpoint — see README for all values):
helm upgrade --install my-replay oci://quay.io/weka.io/helm/wekai \
--version v4.8.3 \
--set endpoint=http://YOUR-LLM-HOST:8000
Container image:
docker pull quay.io/weka.io/wekai:v4.8.3
CLI (binary is named wekai):
go install github.com/weka/wekai@v4.8.3
Full Changelog: v4.8.2...v4.8.3
v4.8.2
Install
Prebuilt binaries (linux amd64/arm64, macOS Apple Silicon) are
attached below, e.g.:
curl -fsSL https://github.com/weka/wekai/releases/download/v4.8.2/wekai_v4.8.2_$(uname -s | tr A-Z a-z)_$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/').tar.gz | tar -xz
Helm (replay benchmark against your endpoint — see README for all values):
helm upgrade --install my-replay oci://quay.io/weka.io/helm/wekai \
--version v4.8.2 \
--set endpoint=http://YOUR-LLM-HOST:8000
Container image:
docker pull quay.io/weka.io/wekai:v4.8.2
CLI (binary is named wekai):
go install github.com/weka/wekai@v4.8.2
Full Changelog: v4.8.1...v4.8.2