Updated OVMS documentation with correct API endpoint in curl command

docs/ovms-model-deploy-guide.md

@@ -194,16 +194,22 @@ echo "Access Token: $TOKEN"
 
 ```bash
 # Test chat completions endpoint
-For Inferencing with Qwen3-4B-int4-ov:
-curl -k ${BASE_URL}/qwen3-4b-ovms/v3/chat/completions -X POST -d '{"messages": [{"role": "system","content": "You are helpful assistant"},{"role": "user","content": "what is photosynthesis"}],"model": "qwen3-4b","max_tokens": 32,"temperature": 0.4}' -H 'Content-Type: application/json' -sS -H "Authorization: Bearer $TOKEN"
 
-For Inferencing with Mistral-7B-Instruct-v0.3-int4-cw-ov:
-curl -k ${BASE_URL}/mistral-7b-ovms/v3/chat/completions -X POST -d '{"messages": [{"role": "system","content": "You are helpful assistant"},{"role": "user","content": "what is photosynthesis"}],"model": "mistral-7b","max_tokens": 32,"temperature": 0.4}' -H 'Content-Type: application/json' -sS -H "Authorization: Bearer $TOKEN"
+# For Inferencing with any deployed models, use below command to get model route
+kubectl get apisixroute -A
+```
+![alt text](pictures/apisix-route.png)
+```
+export MODEL_APISIX_ROUTE="qwen3-4b-ovms"
+export MODEL_ID=OpenVINO/Qwen3-4B-int4-ov
 
-For Inferencing with meta-llama/Llama-3.2-3B-Instruct:
-curl -k ${BASE_URL}/llama-3.2-3b-instruct/v3/chat/completions -X POST -d '{"messages": [{"role": "system","content": "You are helpful assistant"},{"role": "user","content": "what is api"}],"model": "llama-3.2-3b-instruct","max_tokens": 32,"temperature": 0.4}' -H 'Content-Type: application/json' -sS -H "Authorization: Bearer $TOKEN"
+curl -k ${BASE_URL}/${MODEL_APISIX_ROUTE}/v3/chat/completions -X POST \
+  -H 'Content-Type: application/json' \
+  -H "Authorization: Bearer $TOKEN" \
+  -d '{"messages": [{"role": "system","content": "You are helpful assistant"},{"role": "user","content": "what is api"}],"model": "'"$MODEL_ID"'","max_tokens": 32,"temperature": 0.4}'
 
 ```
+**NOTE:** export respective MODEL_APISIX_ROUTE and MODEL_ID to test the model endpoints
 ---
 ## Undeployment