diff --git a/domains-classifier/README.md b/domains-classifier/README.md
index d27ee5c..f1d67e9 100644
--- a/domains-classifier/README.md
+++ b/domains-classifier/README.md
@@ -26,7 +26,7 @@
 
 ##### Sollicitation du WebService
 
-https://domains-classifier-1.services.inist.fr/v1/en/classify?indent=true&deep=2
+https://domains-classifier-2.services.inist.fr/v1/en/classify?indent=true&deep=2
 
   avec `deep = n    , n est profondeur de la prédiction, fournit n codes, de [ 1 - 3 ] (3 par défaut)`
 
@@ -34,7 +34,7 @@
 ##### Exemple d'appel au classifieur, avec profondeur=2  
 
 ```  
-cat <<EOF | curl --proxy "" -X POST --data-binary @-  "https://domains-classifier-1.services.inist.fr/v1/en/classify?indent=true&deep=3"
+cat <<EOF | curl --proxy "" -X POST --data-binary @-  "https://domains-classifier-2.services.inist.fr/v1/en/classify?indent=true&deep=3"
   [{
  "idt":"08-0245642","value":"Random walk of passive tracers among randomly moving obstacles. Background: This study is mainly motivated by the need of understanding how the diffusion behaviour of a biomolecule (or even of a larger object) is affected by other moving macromolecules, organelles, and so on, inside a living cell, whence the possibility of understanding whether or not a randomly walking biomolecule is also subject to a long-range force field driving it to its target. Method: By means of the Continuous Time Random Walk (CTRW) technique the topic of random walk in random environment is here considered in the case of a passively diffusing particle in a crowded environment made of randomly moving and interacting obstacles. Results: The relevant physical quantity which is worked out is the diffusion cofficient of the passive tracer which is computed as a function of the average inter-obstacles distance. Coclusions: The results reported here suggest that if a biomolecule, let us call it a test molecule, moves towards its target in the presence of other independently interacting molecules, its motion can be considerably slowed down. Hence, if such a slowing down could compromise the efficiency of the task to be performed by the test molecule, some accelerating factor would be required. Intermolecular electrodynamic forces are good candidates as accelerating factors because they can act at a long distance in a medium like the cytosol despite its ionic strength."
  },{
diff --git a/domains-classifier/test/test_predict_EZ.sh b/domains-classifier/test/test_predict_EZ.sh
index 9bdbf9a..074ad3f 100755
--- a/domains-classifier/test/test_predict_EZ.sh
+++ b/domains-classifier/test/test_predict_EZ.sh
@@ -1,3 +1,19 @@
 #!/bin/bash
-#ex:  ./test/test_predict_EZ.sh corpus/data1.json
-cat $1 | curl --proxy "" -X POST --data-binary @- "https://domains-classifier-1.services.inist.fr/v1/en/classify?indent=true&deep=2"
+set +x
+doc_en='[{"id":"PhnlUo_d6LoJPLN3YUjh5qBLc","value":"Non-local effects by homogenization or 3D–1D dimension reduction in elastic materials reinforced by stiff fibers.We first consider an elastic thin heterogeneous cylinder of radius of order ε: the interior of the cylinder is occupied by a stiff material (fiber) that is surrounded by a soft material (matrix). By assuming that the elasticity tensor of the fiber does not scale with ε and that of the matrix scales with ε2, we prove that the one dimensional model is a nonlocal system.We then consider a reference configuration domain filled out by periodically distributed rods similar to those described above. We prove that the homogenized model is a second order nonlocal problem.In particular, we show that the homogenization problem is directly connected to the 3D–1D dimensional reduction problem."}]'
+#  ./test/test_predict_EZ.sh  ./test_predict_EZ.sh $HOME/data/data.json
+url_dev="http://ft2c-01.tdmservices.intra.inist.fr/v1/en/classify?indent=true&deep=3"
+url_prod="https://domains-classifier-2.services.inist.fr/v1/en/classify?indent=true&deep=3"
+url_prod_sp="http://vptdmservices.intra.inist.fr:35268/"
+#proxy : http://proxyout.inist.fr:8080/
+
+echo "curl prod -------------"
+echo $doc_en | curl  -i --proxy ""  -X POST --data-binary @- $url_prod
+echo -e
+echo -e
+#echo "curl prod-sp -------------"
+#echo $doc_en | curl  -i --proxy "" -X POST --data-binary @- $url_prod_sp
+#echo -e
+echo -e
+echo "curl dev-------------"
+echo $doc_en | curl  -i --proxy ""  -X POST --data-binary @- $url_dev
\ No newline at end of file
diff --git a/domains-classifier/v1/en/classify.ini b/domains-classifier/v1/en/classify.ini
index bde57af..9215a0a 100644
--- a/domains-classifier/v1/en/classify.ini
+++ b/domains-classifier/v1/en/classify.ini
@@ -34,10 +34,11 @@
 
 #------------------------  pretraitement nlptools -----------------
 [expand/URLConnect]
-#url = https://nlp-tools-1.services.inist.fr/v1/en/postagger/analyze?output=doc
 timeout = 100000
-url = https://nlp-tools-2.services.inist.fr/v1/en/postagger/analyze?output=doc&param=%7B%22POStagger%22%3A%20%7B%22POS_whitelist%22%3A%5B%22ADJ%22%2C%22NOUN%22%2C%20%22PROPN%22%5D%7D%7D
-
+#pointe vers dev
+url = http://nlptools-02.tdmservices.intra.inist.fr/v1/en/postagger/analyze?output=doc&param=%7B%22POStagger%22%3A%20%7B%22POS_whitelist%22%3A%5B%22ADJ%22%2C%22NOUN%22%2C%20%22PROPN%22%5D%7D%7D
+#pointe vers prod
+#url = https://nlp-tools-2.services.inist.fr/v1/en/postagger/analyze?output=doc&param=%7B%22POStagger%22%3A%20%7B%22POS_whitelist%22%3A%5B%22ADJ%22%2C%22NOUN%22%2C%20%22PROPN%22%5D%7D%7D
 
 #------------------------  prediction du code de classement -------
 [expand/exec]