docs(e2e-deploy): fix the guidellm load test for the v0.7+ CLI

docs/guides/e2e-deploy.md

@@ -393,7 +393,10 @@ so that shell can resolve the Redis service configured on the host.
 Two load generators are available:
 - **hey** (`docs/guides/e2e-deploy/hey-loadtest.yaml`) — simple HTTP load generator, 200 concurrent workers
 - **guidellm** (`docs/guides/e2e-deploy/guidellm-loadtest.yaml`) — LLM-specific load testing with synthetic
-  prompts (256 prompt tokens, 512 output tokens), constant 50 req/s
+  prompts (256 prompt tokens, 512 output tokens), constant 50 req/s. The manifest pins guidellm v0.8.0 and
+  uses the `guidellm run` syntax introduced in v0.7.0 (`--backend`, `--profile`, `--constraint`, `--data`
+  with `kind=...` values); the older `guidellm benchmark run` flags no longer exist in any current image, so
+  do not switch it back to the `latest` tag
 
 #### Option A: hey
 
@@ -449,8 +452,10 @@ kubectl run --rm -i check-drained --image=redis --restart=Never -n ${NAMESPACE}
 # 1. Start the load test (constant 50 req/s, synthetic data, runs until killed)
 kubectl apply -n ${NAMESPACE} -f ${ASYNC_REPO}/docs/guides/e2e-deploy/guidellm-loadtest.yaml
 
-# 2. Wait ~40s for startup + Prometheus scrape, then verify saturation
-sleep 40
+# 2. Wait for the job to start generating load (the first run pulls the image and the
+#    tokenizer), then one Prometheus scrape, then verify saturation
+kubectl wait --for=condition=Ready pod -l job-name=guidellm-loadtest -n ${NAMESPACE} --timeout=300s
+sleep 30
 kubectl run --rm -i prom-running --image=curlimages/curl --restart=Never -n ${NAMESPACE} -- \
     curl -s --data-urlencode \
     'query=vllm:num_requests_running{inference_pool="optimized-baseline"}' \

docs/guides/e2e-deploy/guidellm-loadtest.yaml

@@ -9,33 +9,21 @@ spec:
       restartPolicy: Never
       containers:
         - name: guidellm
-          image: ghcr.io/vllm-project/guidellm:latest
+          image: ghcr.io/vllm-project/guidellm:v0.8.0
           env:
-            - name: USER
-              value: "guidellm"
             - name: HF_HUB_CACHE
-              value: "/tmp/hf_cache"
+              value: /tmp/hf_cache
           command:
             - guidellm
-            - benchmark
             - run
-            - --target
-            - "http://llm-d-inference-gateway-istio"
-            - --request-format
-            - text_completions
-            - --model
-            - "Qwen/Qwen3-0.6B"
+            - --backend
+            - kind=openai_http,target=http://llm-d-inference-gateway-istio,model=Qwen/Qwen3-0.6B,request_format=/v1/completions
             - --profile
-            - constant
-            - --rate
-            - "50"
-            - --max-seconds
-            - "3600"
+            - kind=constant,rate=50
+            - --constraint
+            - kind=max_duration,seconds=3600
             - --data
-            - "prompt_tokens=256,output_tokens=512"
-            - --output-dir
-            - /tmp
-            - --max-requests
-            - "100000"
-            - --processor
-            - "Qwen/Qwen3-0.6B"
+            - kind=synthetic_text,prompt_tokens=256,output_tokens=512
+            - --output
+            - kind=json,path=/tmp/results.json
+            - --disable-console-interactive