Repository: IBM/nl2ltl (language: python)

Issue:
update deps
In this PR:

- Bump Rasa version 3.5.11
- Bump Python version to 3.8
- Bump OpenAI to 0.27.8
- Bump pylogics to 0.2.1
- some fixes


Discussion / hints:

Fix patch:
diff --git a/.gitignore b/.gitignore
index 4f84849..5597d9d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -11,7 +11,7 @@ nl2ltl/engines/rasa/.rasa
 nl2ltl/engines/rasa/models/nlu*
 !nl2ltl/engines/rasa/models/nlu-20220921-165608-buoyant-volley.tar.gz
 
-nl2ltl/engines/gpt3/env.py
+nl2ltl/engines/gpt/env.py
 
 
 # User-specific stuff
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 6a0bbf1..d601eaa 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -9,7 +9,7 @@ repos:
     - id: flake8
       args: [--exclude=tests/*]
 -   repo: https://github.com/pycqa/isort
-    rev: 5.5.2
+    rev: 5.12.0
     hooks:
       - id: isort
         args: ["--profile", "black"]
\ No newline at end of file
diff --git a/Pipfile b/Pipfile
index 9a59921..1b70f3c 100644
--- a/Pipfile
+++ b/Pipfile
@@ -6,18 +6,19 @@ name = "pypi"
 [packages]
 
 [dev-packages]
-pytest = "*"
-pre-commit = "*"
-black = "*"
-flake8 = "*"
 hypothesis = "*"
 mkdocs = "*"
-tox = "*"
-mkdocs-material = "*"
 mknotebooks = "*"
 markdown-include = "*"
+mkdocs-material = "*"
+pre-commit = "*"
 pymdown-extensions = "*"
-isort = "*"
+pytest = "*"
+black = "==22.6.0"
+flake8 = "==4.0.1"
+isort = "==5.12.0"
+tox = "==3.25.1"
+pytest-cov = "*"
 
 [requires]
 python_version = "3.8"
diff --git a/Pipfile.lock b/Pipfile.lock
index 6f8be77..cbdcf49 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "6c8a0da31273e92d46460124ef0e2433df5456efdd72d1558f582b2ad0df8c8c"
+            "sha256": "bb314edf7198aee30168145cf778e3e4407cc061ae6312af30751e53a30344c8"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -19,19 +19,19 @@
     "develop": {
         "attrs": {
             "hashes": [
-                "sha256:29adc2665447e5191d0e7c568fde78b21f9672d344281d0c6e1ab085429b22b6",
-                "sha256:86efa402f67bf2df34f51a335487cf46b1ec130d02b8d39fd248abfd30da551c"
+                "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04",
+                "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"
             ],
-            "markers": "python_version >= '3.5'",
-            "version": "==22.1.0"
+            "markers": "python_version >= '3.7'",
+            "version": "==23.1.0"
         },
         "beautifulsoup4": {
             "hashes": [
-                "sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30",
-                "sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693"
+                "sha256:492bbc69dca35d12daac71c4db1bfff0c876c00ef4a2ffacce226d4638eb72da",
+                "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"
             ],
-            "markers": "python_version >= '3.6'",
-            "version": "==4.11.1"
+            "markers": "python_full_version >= '3.6.0'",
+            "version": "==4.12.2"
         },
         "black": {
             "hashes": [
@@ -64,11 +64,19 @@
         },
         "bleach": {
             "hashes": [
-                "sha256:085f7f33c15bd408dd9b17a4ad77c577db66d76203e5984b1bd59baeee948b2a",
-                "sha256:0d03255c47eb9bd2f26aa9bb7f2107732e7e8fe195ca2f64709fcf3b0a4a085c"
+                "sha256:1a1a85c1595e07d8db14c5f09f09e6433502c51c595970edc090551f0db99414",
+                "sha256:33c16e3353dbd13028ab4799a0f89a83f113405c766e9c122df8a06f5b85b3f4"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==5.0.1"
+            "version": "==6.0.0"
+        },
+        "certifi": {
+            "hashes": [
+                "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7",
+                "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==2023.5.7"
         },
         "cfgv": {
             "hashes": [
@@ -78,6 +86,87 @@
             "markers": "python_full_version >= '3.6.1'",
             "version": "==3.3.1"
         },
+        "charset-normalizer": {
+            "hashes": [
+                "sha256:04afa6387e2b282cf78ff3dbce20f0cc071c12dc8f685bd40960cc68644cfea6",
+                "sha256:04eefcee095f58eaabe6dc3cc2262f3bcd776d2c67005880894f447b3f2cb9c1",
+                "sha256:0be65ccf618c1e7ac9b849c315cc2e8a8751d9cfdaa43027d4f6624bd587ab7e",
+                "sha256:0c95f12b74681e9ae127728f7e5409cbbef9cd914d5896ef238cc779b8152373",
+                "sha256:0ca564606d2caafb0abe6d1b5311c2649e8071eb241b2d64e75a0d0065107e62",
+                "sha256:10c93628d7497c81686e8e5e557aafa78f230cd9e77dd0c40032ef90c18f2230",
+                "sha256:11d117e6c63e8f495412d37e7dc2e2fff09c34b2d09dbe2bee3c6229577818be",
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+                "sha256:12a2b561af122e3d94cdb97fe6fb2bb2b82cef0cdca131646fdb940a1eda04f0",
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+                "sha256:e0ac8959c929593fee38da1c2b64ee9778733cdf03c482c9ff1d508b6b593b2b",
+                "sha256:e1b25e3ad6c909f398df8921780d6a3d120d8c09466720226fc621605b6f92b1",
+                "sha256:e633940f28c1e913615fd624fcdd72fdba807bf53ea6925d6a588e84e1151531",
+                "sha256:e89df2958e5159b811af9ff0f92614dabf4ff617c03a4c1c6ff53bf1c399e0e1",
+                "sha256:ea9f9c6034ea2d93d9147818f17c2a0860d41b71c38b9ce4d55f21b6f9165a11",
+                "sha256:f645caaf0008bacf349875a974220f1f1da349c5dbe7c4ec93048cdc785a3326",
+                "sha256:f8303414c7b03f794347ad062c0516cee0e15f7a612abd0ce1e25caf6ceb47df",
+                "sha256:fca62a8301b605b954ad2e9c3666f9d97f63872aa4efcae5492baca2056b74ab"
+            ],
+            "markers": "python_full_version >= '3.7.0'",
+            "version": "==3.1.0"
+        },
         "click": {
             "hashes": [
                 "sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e",
@@ -86,6 +175,83 @@
             "markers": "python_version >= '3.7'",
             "version": "==8.1.3"
         },
+        "colorama": {
+            "hashes": [
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+            ],
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6'",
+            "version": "==0.4.6"
+        },
+        "coverage": {
+            "extras": [
+                "toml"
+            ],
+            "hashes": [
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+                "sha256:fdec9e8cbf13a5bf63290fc6013d216a4c7232efb51548594ca3631a7f13c3a3"
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+            "markers": "python_version >= '3.7'",
+            "version": "==7.2.7"
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                 "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69",
@@ -101,44 +267,36 @@
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-                "sha256:9086a4a21ef9b31c72181c77c040a074ba0889ee56a7b289ff0afb0d97655f96"
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-            "version": "==1.0.0rc9"
+            "version": "==1.1.1"
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-                "sha256:21f918e8d9a1a4ba9c22e09574ba72267a6762d47822db9add95f6454e51cc1c"
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-            "version": "==2.16.2"
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-                "sha256:617eb4e5eedc82fc5f47b6d61e4d11cb837c56cb4544e39081099fa17ad109d4"
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-            "version": "==3.8.0"
+            "version": "==3.12.0"
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         "flake8": {
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-            "version": "==5.0.3"
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@@ -149,66 +307,75 @@
         },
         "gitdb": {
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-            "markers": "python_version >= '3.6'",
-            "version": "==4.0.9"
+            "markers": "python_version >= '3.7'",
+            "version": "==4.0.10"
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         "gitpython": {
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-                "sha256:5b68b000463593e05ff2b261acff0ff0972df8ab1b70d3cdbd41b546c8b8fc3d"
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             "markers": "python_version >= '3.7'",
-            "version": "==3.1.27"
+            "version": "==3.1.31"
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         "hypothesis": {
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-                "sha256:de63c34309181875e71d0f5d1c1051c9320a1fe0517ea6733af8cedf818191f4"
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             "index": "pypi",
-            "version": "==6.54.1"
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-                "sha256:ef78c0d96098a3b5fe7720be4a97e73f439af7cf088ebf47b620aeaa10fadf97"
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-            "version": "==2.5.5"
+            "version": "==2.5.24"
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-            "markers": "python_version >= '3.7'",
-            "version": "==4.12.0"
+            "markers": "python_version < '3.10'",
+            "version": "==6.6.0"
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         "importlib-resources": {
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-                "sha256:f78a8df21a79bcc30cfd400bdc38f314333de7c0fb619763f6b9dabab8268bb7"
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-            "version": "==5.9.0"
+            "version": "==5.12.0"
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         "iniconfig": {
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-            "version": "==1.1.1"
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@@ -220,27 +387,27 @@
         },
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@@ -250,82 +417,6 @@
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@@ -336,64 +427,74 @@
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@@ -405,34 +506,34 @@
         },
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@@ -443,58 +544,51 @@
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@@ -506,11 +600,11 @@
         },
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@@ -522,11 +616,11 @@
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@@ -538,11 +632,11 @@
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@@ -554,78 +648,84 @@
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+                "sha256:d831c2f8ff278179705ca59f7e8524069c1a989e716a1874d6d1aab6119d91d1",
+                "sha256:dbbbfce33cd98f97f6bffb17801b0576e653f4fdb1d399b2ea89638bc8d08ae1",
+                "sha256:dcba6dae7de533c876255317c11f3abe4907ba7d9aa15d13e3d9710d4315ec0e",
+                "sha256:e0bb18053dfcfed432cc3ac632b5e5e5c5b7e55fb3f8090e867bfd9b054dbcbf",
+                "sha256:e2fbd6236aae3b7f9d514312cdb58e6494ee1c76a9948adde6eba33eb1c4264f",
+                "sha256:e5087a3c59eef624a4591ef9eaa6e9a8d8a94c779dade95d27c0bc24650261cd",
+                "sha256:e8915cc96abeb8983cea1df3c939e3c6e1ac778340c17732eb63bb96247b91d2",
+                "sha256:ea353ecb6ab5f7e7d2f4372b1e779796ebd7b37352d290096978fea83c4dba0c",
+                "sha256:ee2d1a9a253b1729bb2de27d41f696ae893507c7db224436abe83ee25356f5c1",
+                "sha256:f415f802fbcafed5dcc694c13b1292f07fe0befdb94aa8a52905bd115ff41e88",
+                "sha256:fb5ec16523dc573a4b277663a2b5a364e2099902d3944c9419a40ebd56a118f9",
+                "sha256:fea75c3710d4f31389eed3c02f62d0b66a9da282521075061ce875eb5300cf23"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==2023.6.3"
+        },
+        "requests": {
+            "hashes": [
+                "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f",
+                "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==2.31.0"
         },
         "setuptools": {
             "hashes": [
-                "sha256:2e24e0bec025f035a2e72cdd1961119f557d78ad331bb00ff82efb2ab8da8e82",
-                "sha256:7732871f4f7fa58fb6bdcaeadb0161b2bd046c85905dbaa066bdcbcc81953b57"
+                "sha256:5df61bf30bb10c6f756eb19e7c9f3b473051f48db77fddbe06ff2ca307df9a6f",
+                "sha256:62642358adc77ffa87233bc4d2354c4b2682d214048f500964dbe760ccedf102"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==65.3.0"
+            "version": "==67.8.0"
         },
         "six": {
             "hashes": [
@@ -802,19 +1007,19 @@
         },
         "soupsieve": {
             "hashes": [
-                "sha256:3b2503d3c7084a42b1ebd08116e5f81aadfaea95863628c80a3b774a11b7c759",
-                "sha256:fc53893b3da2c33de295667a0e19f078c14bf86544af307354de5fcf12a3f30d"
+                "sha256:1c1bfee6819544a3447586c889157365a27e10d88cde3ad3da0cf0ddf646feb8",
+                "sha256:89d12b2d5dfcd2c9e8c22326da9d9aa9cb3dfab0a83a024f05704076ee8d35ea"
             ],
-            "markers": "python_version >= '3.6'",
-            "version": "==2.3.2.post1"
+            "markers": "python_version >= '3.7'",
+            "version": "==2.4.1"
         },
         "tinycss2": {
             "hashes": [
-                "sha256:b2e44dd8883c360c35dd0d1b5aad0b610e5156c2cb3b33434634e539ead9d8bf",
-                "sha256:fe794ceaadfe3cf3e686b22155d0da5780dd0e273471a51846d0a02bc204fec8"
+                "sha256:2b80a96d41e7c3914b8cda8bc7f705a4d9c49275616e886103dd839dfc847847",
+                "sha256:8cff3a8f066c2ec677c06dbc7b45619804a6938478d9d73c284b29d14ecb0627"
             ],
-            "markers": "python_version >= '3.6'",
-            "version": "==1.1.1"
+            "markers": "python_version >= '3.7'",
+            "version": "==1.2.1"
         },
         "toml": {
             "hashes": [
@@ -834,20 +1039,20 @@
         },
         "tornado": {
             "hashes": [
-                "sha256:1d54d13ab8414ed44de07efecb97d4ef7c39f7438cf5e976ccd356bebb1b5fca",
-                "sha256:20f638fd8cc85f3cbae3c732326e96addff0a15e22d80f049e00121651e82e72",
-                "sha256:5c87076709343557ef8032934ce5f637dbb552efa7b21d08e89ae7619ed0eb23",
-                "sha256:5f8c52d219d4995388119af7ccaa0bcec289535747620116a58d830e7c25d8a8",
-                "sha256:6fdfabffd8dfcb6cf887428849d30cf19a3ea34c2c248461e1f7d718ad30b66b",
-                "sha256:87dcafae3e884462f90c90ecc200defe5e580a7fbbb4365eda7c7c1eb809ebc9",
-                "sha256:9b630419bde84ec666bfd7ea0a4cb2a8a651c2d5cccdbdd1972a0c859dfc3c13",
-                "sha256:b8150f721c101abdef99073bf66d3903e292d851bee51910839831caba341a75",
-                "sha256:ba09ef14ca9893954244fd872798b4ccb2367c165946ce2dd7376aebdde8e3ac",
-                "sha256:d3a2f5999215a3a06a4fc218026cd84c61b8b2b40ac5296a6db1f1451ef04c1e",
-                "sha256:e5f923aa6a47e133d1cf87d60700889d7eae68988704e20c75fb2d65677a8e4b"
-            ],
-            "markers": "python_version >= '3.7'",
-            "version": "==6.2"
+                "sha256:05615096845cf50a895026f749195bf0b10b8909f9be672f50b0fe69cba368e4",
+                "sha256:0c325e66c8123c606eea33084976c832aa4e766b7dff8aedd7587ea44a604cdf",
+                "sha256:29e71c847a35f6e10ca3b5c2990a52ce38b233019d8e858b755ea6ce4dcdd19d",
+                "sha256:4b927c4f19b71e627b13f3db2324e4ae660527143f9e1f2e2fb404f3a187e2ba",
+                "sha256:5b17b1cf5f8354efa3d37c6e28fdfd9c1c1e5122f2cb56dac121ac61baa47cbe",
+                "sha256:6a0848f1aea0d196a7c4f6772197cbe2abc4266f836b0aac76947872cd29b411",
+                "sha256:7efcbcc30b7c654eb6a8c9c9da787a851c18f8ccd4a5a3a95b05c7accfa068d2",
+                "sha256:834ae7540ad3a83199a8da8f9f2d383e3c3d5130a328889e4cc991acc81e87a0",
+                "sha256:b46a6ab20f5c7c1cb949c72c1994a4585d2eaa0be4853f50a03b5031e964fc7c",
+                "sha256:c2de14066c4a38b4ecbbcd55c5cc4b5340eb04f1c5e81da7451ef555859c833f",
+                "sha256:c367ab6c0393d71171123ca5515c61ff62fe09024fa6bf299cd1339dc9456829"
+            ],
+            "markers": "python_version >= '3.8'",
+            "version": "==6.3.2"
         },
         "tox": {
             "hashes": [
@@ -859,58 +1064,68 @@
         },
         "traitlets": {
             "hashes": [
-                "sha256:3f2c4e435e271592fe4390f1746ea56836e3a080f84e7833f0f801d9613fec39",
-                "sha256:93663cc8236093d48150e2af5e2ed30fc7904a11a6195e21bab0408af4e6d6c8"
+                "sha256:9e6ec080259b9a5940c797d58b613b5e31441c2257b87c2e795c5228ae80d2d8",
+                "sha256:f6cde21a9c68cf756af02035f72d5a723bf607e862e7be33ece505abf4a3bad9"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==5.4.0"
+            "version": "==5.9.0"
         },
         "typing-extensions": {
             "hashes": [
-                "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02",
-                "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"
+                "sha256:88a4153d8505aabbb4e13aacb7c486c2b4a33ca3b3f807914a9b4c844c471c26",
+                "sha256:d91d5919357fe7f681a9f2b5b4cb2a5f1ef0a1e9f59c4d8ff0d3491e05c0ffd5"
             ],
             "markers": "python_version < '3.10'",
-            "version": "==4.3.0"
+            "version": "==4.6.3"
+        },
+        "urllib3": {
+            "hashes": [
+                "sha256:48e7fafa40319d358848e1bc6809b208340fafe2096f1725d05d67443d0483d1",
+                "sha256:bee28b5e56addb8226c96f7f13ac28cb4c301dd5ea8a6ca179c0b9835e032825"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==2.0.3"
         },
         "virtualenv": {
             "hashes": [
-                "sha256:227ea1b9994fdc5ea31977ba3383ef296d7472ea85be9d6732e42a91c04e80da",
-                "sha256:d07dfc5df5e4e0dbc92862350ad87a36ed505b978f6c39609dc489eadd5b0d27"
+                "sha256:6abec7670e5802a528357fdc75b26b9f57d5d92f29c5462ba0fbe45feacc685e",
+                "sha256:a85caa554ced0c0afbd0d638e7e2d7b5f92d23478d05d17a76daeac8f279f924"
             ],
-            "markers": "python_version >= '3.6'",
-            "version": "==20.16.5"
+            "markers": "python_version >= '3.7'",
+            "version": "==20.23.0"
         },
         "watchdog": {
             "hashes": [
-                "sha256:083171652584e1b8829581f965b9b7723ca5f9a2cd7e20271edf264cfd7c1412",
-                "sha256:117ffc6ec261639a0209a3252546b12800670d4bf5f84fbd355957a0595fe654",
-                "sha256:186f6c55abc5e03872ae14c2f294a153ec7292f807af99f57611acc8caa75306",
-                "sha256:195fc70c6e41237362ba720e9aaf394f8178bfc7fa68207f112d108edef1af33",
-                "sha256:226b3c6c468ce72051a4c15a4cc2ef317c32590d82ba0b330403cafd98a62cfd",
-                "sha256:247dcf1df956daa24828bfea5a138d0e7a7c98b1a47cf1fa5b0c3c16241fcbb7",
-                "sha256:255bb5758f7e89b1a13c05a5bceccec2219f8995a3a4c4d6968fe1de6a3b2892",
-                "sha256:43ce20ebb36a51f21fa376f76d1d4692452b2527ccd601950d69ed36b9e21609",
-                "sha256:4f4e1c4aa54fb86316a62a87b3378c025e228178d55481d30d857c6c438897d6",
-                "sha256:5952135968519e2447a01875a6f5fc8c03190b24d14ee52b0f4b1682259520b1",
-                "sha256:64a27aed691408a6abd83394b38503e8176f69031ca25d64131d8d640a307591",
-                "sha256:6b17d302850c8d412784d9246cfe8d7e3af6bcd45f958abb2d08a6f8bedf695d",
-                "sha256:70af927aa1613ded6a68089a9262a009fbdf819f46d09c1a908d4b36e1ba2b2d",
-                "sha256:7a833211f49143c3d336729b0020ffd1274078e94b0ae42e22f596999f50279c",
-                "sha256:8250546a98388cbc00c3ee3cc5cf96799b5a595270dfcfa855491a64b86ef8c3",
-                "sha256:97f9752208f5154e9e7b76acc8c4f5a58801b338de2af14e7e181ee3b28a5d39",
-                "sha256:9f05a5f7c12452f6a27203f76779ae3f46fa30f1dd833037ea8cbc2887c60213",
-                "sha256:a735a990a1095f75ca4f36ea2ef2752c99e6ee997c46b0de507ba40a09bf7330",
-                "sha256:ad576a565260d8f99d97f2e64b0f97a48228317095908568a9d5c786c829d428",
-                "sha256:b530ae007a5f5d50b7fbba96634c7ee21abec70dc3e7f0233339c81943848dc1",
-                "sha256:bfc4d351e6348d6ec51df007432e6fe80adb53fd41183716017026af03427846",
-                "sha256:d3dda00aca282b26194bdd0adec21e4c21e916956d972369359ba63ade616153",
-                "sha256:d9820fe47c20c13e3c9dd544d3706a2a26c02b2b43c993b62fcd8011bcc0adb3",
-                "sha256:ed80a1628cee19f5cfc6bb74e173f1b4189eb532e705e2a13e3250312a62e0c9",
-                "sha256:ee3e38a6cc050a8830089f79cbec8a3878ec2fe5160cdb2dc8ccb6def8552658"
+                "sha256:0e06ab8858a76e1219e68c7573dfeba9dd1c0219476c5a44d5333b01d7e1743a",
+                "sha256:13bbbb462ee42ec3c5723e1205be8ced776f05b100e4737518c67c8325cf6100",
+                "sha256:233b5817932685d39a7896b1090353fc8efc1ef99c9c054e46c8002561252fb8",
+                "sha256:25f70b4aa53bd743729c7475d7ec41093a580528b100e9a8c5b5efe8899592fc",
+                "sha256:2b57a1e730af3156d13b7fdddfc23dea6487fceca29fc75c5a868beed29177ae",
+                "sha256:336adfc6f5cc4e037d52db31194f7581ff744b67382eb6021c868322e32eef41",
+                "sha256:3aa7f6a12e831ddfe78cdd4f8996af9cf334fd6346531b16cec61c3b3c0d8da0",
+                "sha256:3ed7c71a9dccfe838c2f0b6314ed0d9b22e77d268c67e015450a29036a81f60f",
+                "sha256:4c9956d27be0bb08fc5f30d9d0179a855436e655f046d288e2bcc11adfae893c",
+                "sha256:4d98a320595da7a7c5a18fc48cb633c2e73cda78f93cac2ef42d42bf609a33f9",
+                "sha256:4f94069eb16657d2c6faada4624c39464f65c05606af50bb7902e036e3219be3",
+                "sha256:5113334cf8cf0ac8cd45e1f8309a603291b614191c9add34d33075727a967709",
+                "sha256:51f90f73b4697bac9c9a78394c3acbbd331ccd3655c11be1a15ae6fe289a8c83",
+                "sha256:5d9f3a10e02d7371cd929b5d8f11e87d4bad890212ed3901f9b4d68767bee759",
+                "sha256:7ade88d0d778b1b222adebcc0927428f883db07017618a5e684fd03b83342bd9",
+                "sha256:7c5f84b5194c24dd573fa6472685b2a27cc5a17fe5f7b6fd40345378ca6812e3",
+                "sha256:7e447d172af52ad204d19982739aa2346245cc5ba6f579d16dac4bfec226d2e7",
+                "sha256:8ae9cda41fa114e28faf86cb137d751a17ffd0316d1c34ccf2235e8a84365c7f",
+                "sha256:8f3ceecd20d71067c7fd4c9e832d4e22584318983cabc013dbf3f70ea95de346",
+                "sha256:9fac43a7466eb73e64a9940ac9ed6369baa39b3bf221ae23493a9ec4d0022674",
+                "sha256:a70a8dcde91be523c35b2bf96196edc5730edb347e374c7de7cd20c43ed95397",
+                "sha256:adfdeab2da79ea2f76f87eb42a3ab1966a5313e5a69a0213a3cc06ef692b0e96",
+                "sha256:ba07e92756c97e3aca0912b5cbc4e5ad802f4557212788e72a72a47ff376950d",
+                "sha256:c07253088265c363d1ddf4b3cdb808d59a0468ecd017770ed716991620b8f77a",
+                "sha256:c9d8c8ec7efb887333cf71e328e39cffbf771d8f8f95d308ea4125bf5f90ba64",
+                "sha256:d00e6be486affb5781468457b21a6cbe848c33ef43f9ea4a73b4882e5f188a44",
+                "sha256:d429c2430c93b7903914e4db9a966c7f2b068dd2ebdd2fa9b9ce094c7d459f33"
             ],
-            "markers": "python_version >= '3.6'",
-            "version": "==2.1.9"
+            "markers": "python_version >= '3.7'",
+            "version": "==3.0.0"
         },
         "webencodings": {
             "hashes": [
@@ -921,11 +1136,11 @@
         },
         "zipp": {
             "hashes": [
-                "sha256:05b45f1ee8f807d0cc928485ca40a07cb491cf092ff587c0df9cb1fd154848d2",
-                "sha256:47c40d7fe183a6f21403a199b3e4192cca5774656965b0a4988ad2f8feb5f009"
+                "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b",
+                "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==3.8.1"
+            "version": "==3.15.0"
         }
     }
 }
diff --git a/README.md b/README.md
index 7a71ff1..5d591b9 100644
--- a/README.md
+++ b/README.md
@@ -52,12 +52,17 @@ For instance, Rasa requires a `.tar.gz` format trained model in the
 ## NLU Engines
 - [x] [Rasa](https://rasa.com/) intents/entities classifier
 - [x] [GPT-3](https://openai.com/api/) large language model
+- [x] [GPT-4](https://openai.com/api/) large language model
 - [ ] [Watson Assistant](https://www.ibm.com/products/watson-assistant) intents/entities classifier -- Planned
 
-To use GPT-3 you need to have an API KEY set as environment variable as follows:
+To use GPT models you need to have an API KEY set as environment variable. To set it, either you export it with:
 ```bash
 export OPENAI_API_KEY=your_api_key
 ```
+or you specify it within a `.env` file in the root folder of the project:
+```bash
+OPENAI_API_KEY=your_api_key
+```
 
 ## Write your own Engine
 You can easily write your own engine (i.e., intents/entities classifier, 
diff --git a/nl2ltl/engines/gpt3/__init__.py b/nl2ltl/engines/gpt/__init__.py
similarity index 79%
rename from nl2ltl/engines/gpt3/__init__.py
rename to nl2ltl/engines/gpt/__init__.py
index cc0c587..47329bf 100644
--- a/nl2ltl/engines/gpt3/__init__.py
+++ b/nl2ltl/engines/gpt/__init__.py
@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 
-"""Implementation of the GPT-3 engine."""
+"""Implementation of the GPT engine."""
 
 import inspect
 from pathlib import Path
diff --git a/nl2ltl/engines/gpt/core.py b/nl2ltl/engines/gpt/core.py
new file mode 100644
index 0000000..a44b85d
--- /dev/null
+++ b/nl2ltl/engines/gpt/core.py
@@ -0,0 +1,121 @@
+# -*- coding: utf-8 -*-
+
+"""
+Implementation of the GPT engine.
+
+Website:
+
+    https://openai.com
+
+"""
+import json
+import os
+from enum import Enum
+from pathlib import Path
+from typing import Dict, Set
+
+import openai
+from pylogics.syntax.base import Formula
+
+from nl2ltl.engines.base import Engine
+from nl2ltl.engines.gpt import ENGINE_ROOT
+from nl2ltl.engines.gpt.output import GPTOutput, parse_gpt_output, parse_gpt_result
+from nl2ltl.filters.base import Filter
+
+openai.api_key = os.getenv("OPENAI_API_KEY")
+engine_root = ENGINE_ROOT
+DATA_DIR = engine_root / "data"
+PROMPT_PATH = engine_root / DATA_DIR / "prompt.json"
+
+
+class Models(Enum):
+    """The set of available GPT language models."""
+
+    DAVINCI = "text-davinci-003"
+    GPT3 = "gpt-3"
+    GPT35 = "gpt-3.5"
+    GPT4 = "gpt-4"
+
+
+SUPPORTED_MODELS: Set[str] = {v.value for v in Models}
+
+
+class GPTEngine(Engine):
+    """The GPT engine."""
+
+    def __init__(
+        self,
+        model: str = Models.GPT4.value,
+        prompt: Path = PROMPT_PATH,
+        temperature: float = 0.5,
+    ):
+        """GPT LLM Engine initialization."""
+        self.model = model
+        self.prompt = self._load_prompt(prompt)
+        self.temperature = temperature
+
+        self._check_consistency()
+
+    def _load_prompt(self, prompt):
+        return json.load(open(prompt, "r"))["prompt"]
+
+    def _check_consistency(self) -> None:
+        """Run consistency checks."""
+        self.__check_openai_version()
+        self.__check_model_support()
+
+    def __check_openai_version(self):
+        """Check that the GPT tool is at the right version."""
+        is_right_version = openai.__version__ == "0.27.8"
+        if not is_right_version:
+            raise Exception(
+                "OpenAI needs to be at version 0.27.8. "
+                "Please install it manually using:"
+                "\n"
+                "pip install openai==0.27.8"
+            )
+
+    def __check_model_support(self):
+        """Check if the model is a supported model."""
+        is_supported = self.model in SUPPORTED_MODELS
+        if not is_supported:
+            raise Exception(
+                f"The LLM model {self.model} is not currently supported by nl2ltl."
+            )
+
+    def translate(
+        self, utterance: str, filtering: Filter = None
+    ) -> Dict[Formula, float]:
+        """From NL to best matching LTL formulas with confidence."""
+        return _process_utterance(
+            utterance, self.model, self.prompt, self.temperature, filtering
+        )
+
+
+def _process_utterance(
+    utterance: str, model: str, prompt: str, temperature: float, filtering: Filter
+) -> Dict[Formula, float]:
+    """
+    Process NL utterance.
+
+    :param utterance: the natural language utterance
+    :param model: the specific GPT model
+    :param prompt: the prompt
+    :param temperature: the temperature
+    :param filtering: the filter used to remove formulas
+    :return: a dict matching formulas to their confidence
+    """
+    query = "NL: " + utterance + "\n"
+    prediction = openai.Completion.create(
+        model=model,
+        prompt=prompt + query,
+        temperature=temperature,
+        max_tokens=200,
+        top_p=1.0,
+        frequency_penalty=0.0,
+        presence_penalty=0.0,
+        stop=["\n\n"],
+    )
+    gpt_result: GPTOutput = parse_gpt_output(prediction)
+    matching_formulas: Dict[Formula, float] = parse_gpt_result(gpt_result, filtering)
+    return matching_formulas
diff --git a/nl2ltl/engines/gpt3/data/prompt.json b/nl2ltl/engines/gpt/data/prompt.json
similarity index 100%
rename from nl2ltl/engines/gpt3/data/prompt.json
rename to nl2ltl/engines/gpt/data/prompt.json
diff --git a/nl2ltl/engines/gpt3/output.py b/nl2ltl/engines/gpt/output.py
similarity index 75%
rename from nl2ltl/engines/gpt3/output.py
rename to nl2ltl/engines/gpt/output.py
index 98e39dc..41b6c39 100644
--- a/nl2ltl/engines/gpt3/output.py
+++ b/nl2ltl/engines/gpt/output.py
@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 
-"""Parse GPT-3 output to produce Dict[Formula, Float] result."""
+"""Parse GPT output to produce Dict[Formula, Float] result."""
 import re
 from dataclasses import dataclass
 from typing import Dict, Match, Set, Tuple, cast
@@ -12,8 +12,8 @@
 
 
 @dataclass
-class GPT3Output:
-    """Dataclass to represent the GPT-3 output."""
+class GPTOutput:
+    """Dataclass to represent the GPT output."""
 
     pattern: str
     entities: Tuple[str]
@@ -25,8 +25,8 @@ def __post_init__(self):
 
 
 @dataclass
-class _GPT3OutputWrapper:
-    """A wrapper to the textual output of GPT-3."""
+class _GPTOutputWrapper:
+    """A wrapper to the textual output of GPT."""
 
     output: dict
 
@@ -52,22 +52,22 @@ def entities(self) -> Tuple[str]:
         )
 
 
-def parse_gpt3_output(gpt3_output: dict) -> GPT3Output:
+def parse_gpt_output(gpt_output: dict) -> GPTOutput:
     """
-    Parse the GPT-3 output.
+    Parse the GPT output.
 
-    :param gpt3_output: the json description of the GPT-3 prediction.
-    :return: a GPT3Output instance.
+    :param gpt_output: the json description of the GPT prediction.
+    :return: a GPTOutput instance.
     """
-    wrapper = _GPT3OutputWrapper(gpt3_output)
+    wrapper = _GPTOutputWrapper(gpt_output)
     pattern: str = wrapper.pattern
     entities: Tuple[str] = wrapper.entities
-    gpt3_result = GPT3Output(pattern, entities)
-    return gpt3_result
+    gpt_result = GPTOutput(pattern, entities)
+    return gpt_result
 
 
-def parse_gpt3_result(
-    output: GPT3Output, filtering: Filter = None
+def parse_gpt_result(
+    output: GPTOutput, filtering: Filter = None
 ) -> Dict[Formula, float]:
     """
     Build a dict of formulas, given the GPT3Output object.
diff --git a/nl2ltl/engines/gpt3/core.py b/nl2ltl/engines/gpt3/core.py
deleted file mode 100644
index c1b2835..0000000
--- a/nl2ltl/engines/gpt3/core.py
+++ /dev/null
@@ -1,90 +0,0 @@
-# -*- coding: utf-8 -*-
-
-"""
-Implementation of the GPT-3 engine.
-
-Website:
-
-    https://openai.com
-
-"""
-import json
-import os
-from pathlib import Path
-from typing import Dict
-
-import openai
-from pylogics.syntax.base import Formula
-
-from nl2ltl.engines.base import Engine
-from nl2ltl.engines.gpt3 import ENGINE_ROOT
-from nl2ltl.engines.gpt3.output import GPT3Output, parse_gpt3_output, parse_gpt3_result
-from nl2ltl.filters.base import Filter
-
-openai.api_key = os.getenv("OPENAI_API_KEY")
-engine_root = ENGINE_ROOT
-DATA_DIR = engine_root / "data"
-PROMPT_PATH = engine_root / DATA_DIR / "prompt.json"
-
-
-class GPT3Engine(Engine):
-    """The GPT-3 engine."""
-
-    def __init__(
-        self,
-        prompt: Path = PROMPT_PATH,
-        temperature: float = 0.5,
-    ):
-        """GPT-3 LLM Engine initialization."""
-        self.prompt = self._load_prompt(prompt)
-        self.temperature = temperature
-
-    def _load_prompt(self, prompt):
-        return json.load(open(prompt, "r"))["prompt"]
-
-    @classmethod
-    def __check_openai_version(cls):
-        """Check that the GPT-3 tool is at the right version."""
-        is_right_version = openai.__version__ == "0.23.0"
-        if not is_right_version:
-            raise Exception(
-                "OpenAI needs to be at version 0.23.0. "
-                "Please install it manually using:"
-                "\n"
-                "pip install openai==0.23.0"
-            )
-
-    def __post_init__(self):
-        """Do post-initialization checks."""
-        self.__check_openai_version()
-
-    def translate(
-        self, utterance: str, filtering: Filter = None
-    ) -> Dict[Formula, float]:
-        """From NL to best matching LTL formulas with confidence."""
-        return _process_utterance(utterance, self.prompt, self.temperature, filtering)
-
-
-def _process_utterance(
-    utterance: str, prompt: str, temperature: float, filtering: Filter
-) -> Dict[Formula, float]:
-    """
-    Process NL utterance.
-
-    :param utterance: the natural language utterance
-    :return: a dict with matching formulas and confidence
-    """
-    query = "NL: " + utterance + "\n"
-    prediction = openai.Completion.create(
-        model="text-davinci-002",
-        prompt=prompt + query,
-        temperature=temperature,
-        max_tokens=200,
-        top_p=1.0,
-        frequency_penalty=0.0,
-        presence_penalty=0.0,
-        stop=["\n\n"],
-    )
-    gpt3_result: GPT3Output = parse_gpt3_output(prediction)
-    matching_formulas: Dict[Formula, float] = parse_gpt3_result(gpt3_result, filtering)
-    return matching_formulas
diff --git a/nl2ltl/engines/rasa/core.py b/nl2ltl/engines/rasa/core.py
index 842edb6..b6a83f5 100644
--- a/nl2ltl/engines/rasa/core.py
+++ b/nl2ltl/engines/rasa/core.py
@@ -41,14 +41,20 @@ def __init__(
         """Rasa NLU Engine initialization."""
         self._load_model(model)
 
+        self._check_consistency()
+
     def _load_model(self, model: Path = None):
         if model:
             self.agent = Agent.load(model)
         else:
             self.agent = Agent.load(_get_latest_model(path=MODEL_OUTPUT_PATH))
 
-    @classmethod
-    def __check_rasa_available(cls):
+    def _check_consistency(self) -> None:
+        """Run consistency checks."""
+        self.__check_rasa_available()
+        self.__check_rasa_version()
+
+    def __check_rasa_available(self):
         """Check that the Rasa tool is available."""
         is_rasa_present = shutil.which("rasa") is not None
         if is_rasa_present is None:
@@ -57,23 +63,17 @@ def __check_rasa_available(cls):
                 "the installation instructions at https://rasa.com/docs/rasa/installation.\n"
             )
 
-    @classmethod
-    def __check_rasa_version(cls):
+    def __check_rasa_version(self):
         """Check that the Rasa tool is at the right version."""
-        is_right_version = rasa.__version__ == "3.2.2"
+        is_right_version = rasa.__version__ == "3.5.11"
         if not is_right_version:
             raise Exception(
-                "Rasa needs to be at version 3.2.2. "
+                "Rasa needs to be at version 3.5.11. "
                 "Please install it manually using:"
                 "\n"
-                "pip install rasa==3.2.2"
+                "pip install rasa==3.5.11"
             )
 
-    def __post_init__(self):
-        """Do post-initialization checks."""
-        self.__check_rasa_available()
-        self.__check_rasa_version()
-
     @staticmethod
     def train(
         domain: Path = DOMAIN_PATH,
diff --git a/nl2ltl/engines/rasa/data/config.yml b/nl2ltl/engines/rasa/data/config.yml
index 1ddce57..5730433 100644
--- a/nl2ltl/engines/rasa/data/config.yml
+++ b/nl2ltl/engines/rasa/data/config.yml
@@ -1,11 +1,11 @@
 # Configuration for Rasa NLU.
 # https://rasa.com/docs/rasa/nlu/components/
 recipe: default.v1
+assistant_id: nl2ltl
 language: en
 
 pipeline:
   - name: WhitespaceTokenizer
-  - name: RegexFeaturizer
   - name: LexicalSyntacticFeaturizer
   - name: CountVectorsFeaturizer
   - name: CountVectorsFeaturizer
diff --git a/nl2ltl/engines/rasa/models/nlu-20220921-165608-buoyant-volley.tar.gz b/nl2ltl/engines/rasa/models/nlu-20230608-135823-concave-curve.tar.gz
similarity index 69%
rename from nl2ltl/engines/rasa/models/nlu-20220921-165608-buoyant-volley.tar.gz
rename to nl2ltl/engines/rasa/models/nlu-20230608-135823-concave-curve.tar.gz
index 97454a3..af89027 100644
Binary files a/nl2ltl/engines/rasa/models/nlu-20220921-165608-buoyant-volley.tar.gz and b/nl2ltl/engines/rasa/models/nlu-20230608-135823-concave-curve.tar.gz differ
diff --git a/requirements.txt b/requirements.txt
index 36c657b..1031c34 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,3 +1,3 @@
-rasa==3.2.4
-openai==0.23.0
-pylogics==0.1.1
+pylogics==0.2.1
+rasa==3.5.11
+openai==0.27.8
diff --git a/setup.cfg b/setup.cfg
index e399366..54caad7 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,7 +1,7 @@
 [metadata]
 name=nl2ltl
 author=Tathagata Chakraborti, Francesco Fuggitti
-author_email=tathagata.chakraborti1@ibm.com, fuggitti@diag.uniroma1.it
+author_email=tathagata.chakraborti1@ibm.com, francesco.fuggitti@ibm.com
 version = attr: nl2ltl.__version__
 description = From Natural Language to Linear-time Temporal Logic
 long_description = file: README.md, LICENSE
@@ -25,7 +25,7 @@ classifiers =
 
 
 [option.project_urls]
-"Source": "https://github.com/whitemech/nl2ltl"
+"Source": "https://github.com/IBM/nl2ltl"
 
 [options]
 zip_safe = False
diff --git a/tox.ini b/tox.ini
index 8b2b17b..d76fa15 100644
--- a/tox.ini
+++ b/tox.ini
@@ -1,7 +1,11 @@
 [tox]
-envlist = precommit, docs, py3.8
+envlist = precommit, docs, py3{8}
+labels =
+	code = py3{8}
+	meta = precommit, docs
 
 [testenv]
+allowlist_externals = pytest
 setenv =
     PYTHONPATH = {toxinidir}
 passenv =
@@ -12,16 +16,18 @@ deps =
     pytest-randomly
     hypothesis-pytest
 commands =
-    pytest --basetemp={envtmpdir} --doctest-modules \
-        nl2ltl tests/ \
-        --cov=nl2ltl \
-        --cov-report=xml \
-        --cov-report=html \
-        --cov-report=term \
-        --hypothesis-show-statistics
+	pytest --basetemp={envtmpdir} --doctest-modules \
+	{posargs:nl2ltl tests} \
+	--cov=nl2ltl \
+	--cov-report=xml \
+	--cov-report=html \
+	--cov-report=term
+    --hypothesis-show-statistics
 
-[testenv:py3.8]
-basepython = python3.8
+[testenv:py{38}]
+commands =
+	{[testenv]commands}
+deps =
 
 [testenv:precommit]
 skip_install = true


Test patch:
diff --git a/tests/test_gpt3.py b/tests/test_gpt.py
similarity index 55%
rename from tests/test_gpt3.py
rename to tests/test_gpt.py
index 5a7f048..75f902c 100644
--- a/tests/test_gpt3.py
+++ b/tests/test_gpt.py
@@ -1,37 +1,37 @@
 # -*- coding: utf-8 -*-
 
-"""Tests for GPT-3 engine."""
+"""Tests for GPT engine."""
 from typing import Dict
 
 import pytest
 
 from nl2ltl import translate
-from nl2ltl.engines.gpt3.core import GPT3Engine
+from nl2ltl.engines.gpt.core import GPTEngine
 from nl2ltl.filters.simple_filters import BasicFilter, GreedyFilter
 
 from .conftest import UtterancesFixtures
 
 
-class TestGPT3:
-    """GPT-3 test class."""
+class TestGPT:
+    """GPT test class."""
 
     @classmethod
     def setup_class(cls):
         """setup any state specific to the execution of the given class (which
         usually contains tests).
         """
-        cls.gpt3_engine = GPT3Engine()
+        cls.gpt_engine = GPTEngine()
         cls.basic_filter = BasicFilter()
         cls.greedy_filter = GreedyFilter()
 
     @pytest.mark.parametrize("utterance", UtterancesFixtures.utterances)
-    def test_gpt3_engine_basic(self, utterance):
-        """Test GPT-3 engine for utterances with basic filter."""
-        output = translate(utterance, self.gpt3_engine, self.basic_filter)
+    def test_gpt_engine_basic(self, utterance):
+        """Test GPT engine for utterances with basic filter."""
+        output = translate(utterance, self.gpt_engine, self.basic_filter)
         assert isinstance(output, Dict)
 
     @pytest.mark.parametrize("utterance", UtterancesFixtures.utterances)
-    def test_gpt3_engine_greedy(self, utterance):
-        """Test GPT-3 engine for utterances with greedy filter."""
-        output = translate(utterance, self.gpt3_engine, self.greedy_filter)
+    def test_gpt_engine_greedy(self, utterance):
+        """Test GPT engine for utterances with greedy filter."""
+        output = translate(utterance, self.gpt_engine, self.greedy_filter)
         assert isinstance(output, Dict)