removed ovmsclient (#3620)

* removed ovmsclient

* removed ovmsclient mention in TFS api samples

* review suggestions

* typo fix

Co-authored-by: Miłosz Żeglarski <[email protected]>

* url corrected

---------

Co-authored-by: Miłosz Żeglarski <[email protected]>
Co-authored-by: Trawinski, Dariusz <[email protected]>

Author: 3 people

.gitignore

@@ -20,7 +20,6 @@ __pycache__
 *.swp
 dist/
 lib/
-!client/python/ovmsclient/lib
 cppclean_src
 cppclean_test
 tags

Makefile

@@ -597,15 +597,6 @@ test_throughput_dummy_model: venv
 test_functional: venv
 	@. $(ACTIVATE); pytest --json=report.json -v -s $(TEST_PATH)
 
-# Client library make style target, by default uses Python 3 env in .venv path
-# This fact is used in test_client_lib, where make build runs in .venv Python 3 environment
-test_client_lib:
-	@cd client/python/ovmsclient/lib && \
-		make style || exit 1 && \
-		. .venv-ovmsclient/bin/activate; make build || exit 1 && \
-		make test TEST_TYPE=FULL || exit 1 && \
-		make clean
-
 test_python_clients:
 	@echo "Prepare docker image"
 	@docker build . -f tests/python/Dockerfile -t python_client_test

ci/build_test_OnCommit.groovy

@@ -67,15 +67,6 @@ pipeline {
                   sh 'make sdl-check'
               }
             }
-            stage('Client test') {
-              agent {
-                label "${agent_name_linux}"
-              }
-              when { expression { client_test_needed == "true" } }
-              steps {
-                    sh "make test_client_lib"
-                  }
-            }
           }
         }
         stage('Cleanup node') {

client/python/.bandit

@@ -1,16 +1,15 @@
 # Interact with OpenVINO Model Server using Python
 
-OpenVINO Model Server exposes network interface that client applications can interact with. Such interaction is really simple in Python with [ovmsclient](https://pypi.org/project/ovmsclient/) package available on PyPi. 
-[Learn more about ovmsclient](ovmsclient/lib)
+OpenVINO Model Server exposes network interface that client applications can interact with.
 
 There's also [tensorflow-serving-api](https://pypi.org/project/tensorflow-serving-api/) package that can be used to send requests to OpenVINO Model Server. 
 
-> **Note**: `tensorflow-serving-api` comes with `tensorflow` dependency which makes the package heavy. For a lightweight solution consider using `ovmsclient`.
+> **Note**: `tensorflow-serving-api` comes with `tensorflow` dependency which makes the package heavy.
 
-There are sample scripts for both solutions:
-- [ovmsclient samples](ovmsclient/samples)
+There are sample scripts for `tensorflow-serving-api`:
 - [tensorflow-serving-api samples](tensorflow-serving-api/samples)
 
 Additionally, starting with the 2022.2 release, OpenVINO Model Server also supports [KServe API](https://github.com/kserve/kserve/blob/master/docs/predict-api/v2/required_api.md) calls. You can try it out with the:
  - [KServe samples](kserve-api/samples)
 
+> **Note**: 2025.3 is the last release that includes ovmsclient and it is not supported anymore. If you still need it, use [release 2025.3](https://github.com/openvinotoolkit/model_server/tree/releases/2025/3/client/python/ovmsclient)