diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index ee13340..ba5e511 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -57,6 +57,7 @@ jobs:
       CSRF_TRUSTED_ORIGINS: ''
       SUMMARIZATION_V3_ECS_ENDPOINT: ''
       ENTRYEXTRACTION_ECS_ENDPOINT: ''
+      ENTRYEXTRACTION_LLM_ECS_ENDPOINT: ''
       GEOLOCATION_ECS_ENDPOINT: ''
       TOPICMODEL_ECS_ENDPOINT: ''
 
@@ -88,6 +89,7 @@ jobs:
       RELIABILITY_MODEL_ID: ''
       RELIABILITY_MODEL_VERSION: ''
 
+      OPENAI_API_KEY: ''
     steps:
       - name: Checkout
         uses: actions/checkout@v3
diff --git a/.github/workflows/flake8.yml b/.github/workflows/flake8.yml
deleted file mode 100644
index b5951fc..0000000
--- a/.github/workflows/flake8.yml
+++ /dev/null
@@ -1,25 +0,0 @@
-name: Flake8 check.
-
-on:
-  pull_request:
-  push:
-    branches:
-      - main
-
-jobs:
-  check:
-    name: Flake8 check
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v2
-
-      # Flake8 check
-      - name: Install flake8
-        run: pip install flake8
-      - name: Run flake8
-        uses: suo/flake8-github-action@releases/v1
-        with:
-          # NOTE: this needs to be the same as the job name
-          checkName: 'Flake8 check'
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
diff --git a/analysis_module/mock_templates.py b/analysis_module/mock_templates.py
index 9335581..7abb979 100644
--- a/analysis_module/mock_templates.py
+++ b/analysis_module/mock_templates.py
@@ -607,6 +607,69 @@
     ]
 }
 
+MOCK_ENTRY_CLASSIFICATION_LLM = {
+    "client_id": "entry-classification-llm-client-6000",
+    # this mdoel prediction refer to the framework_id: 1623
+    # entry_id: 510021, project_id: 2587 (2021 IFRC ESSN Turkey)
+    "model_tags": {
+        "element1": {
+            "pillar-0": {
+                "subpillar-4": {
+                    "sector-1": [
+                        "t31unid23fntmwrb"
+                    ],
+                    "sector-4": [
+                        "subsector-1"
+                    ]
+                },
+                "subpillar-3": {
+                    "sector-4": [
+                        "subsector-1"
+                    ]
+                }
+            },
+            "pillar-1": {
+                "subpillar-1": {
+                    "sector-4": [
+                        "subsector-1"
+                    ]
+                }
+            }
+        },
+        "overview-matrix1dWidget-d48u7z4yohwuu7zg": {
+            "8lowwhswgb5j9f5s": {
+                "gjsbosuej330kl45": True,
+                "iwsqjtrs2u5z8qgk": True
+            }
+        },
+        "element0": {
+            "pillar-3": {
+                "subpillar-21": True,
+                "subpillar-20": True
+            }
+        }
+    },
+    "geolocations": [
+        {
+            "entity": "Somalia",
+            "meta": {
+                "offset_start": 88,
+                "offset_end": 94,
+                "latitude": -10,
+                "longitude": -55
+            }
+        },
+        {
+            "entity": "Portugal",
+            "meta": {
+                "offset_start": 183,
+                "offset_end": 191,
+                "latitude": 39.6945,
+                "longitude": -8.13057
+            }
+        }
+    ]
+}
 
 """
 it's a huge output (and it can be bigger that this one). Maybe we can truncate it.
@@ -1745,3 +1808,96 @@
         }
     ]
 }
+
+MOCK_ENTRY_EXTRACTION_LLM = {
+    # this model prediction refer to the framework_id: 1623
+    # lead_id 67027, url: 'https://reliefweb.int/sites/reliefweb.int/files/resources/UNHCR-Turkey-Operational-Update-October-2019.pdf' #  noqa
+    # project_id: 2587 (2021 IFRC ESSN Turkey)
+    "client_id": "entry-classification-llm-client-6000",
+    "metadata": {
+        "total_pages": 10,
+        "total_words_count": 5876
+    },
+    "blocks": [{
+        "type": "text",
+        "text": "4 million Refugees and asylum-seekers in Turkey including over 3.6 million Syrian nationals and close to 400,000 registered refugees and asylum-seekers of other nationalities. Over 98% of Syrian refugees live across Turkey in 81 provinces",
+        "page": 0,
+        "textOrder": 2,
+        "relevant": True,
+        "prediction_status": True,
+        "classification": {
+            "element1": {
+                "pillar-0": {
+                    "o9kyhltzmplk0a1k": {
+                        "sector-9": []
+                    }
+                },
+                "46bg6n1o50obgx77": {
+                    "v2kfnyjbn41vv46j": {
+                        "sector-9": []
+                    }
+                }
+            },
+            "overview-matrix1dWidget-d48u7z4yohwuu7zg": {
+                "8lowwhswgb5j9f5s": {
+                    "qycslaise1s014vm": True,
+                    "7wps5hbnemt59dv9": True
+                }
+            },
+            "element0": {
+                "pillar-0": {
+                    "nxjm8rsprb9fu2wq": True
+                },
+                "kyiciutprwct1vph": {
+                    "4ftpwnssu2ugeekk": True
+                }
+            }
+        },
+        "geolocations": [
+            {
+                "entity": "Niger",
+                "meta": {
+                    "offset_start": 88,
+                    "offset_end": 94,
+                    "latitude": -10,
+                    "longitude": -55
+                }
+            },
+            {
+                "entity": "Nigeria",
+                "meta": {
+                    "offset_start": 183,
+                    "offset_end": 191,
+                    "latitude": None,
+                    "longitude": None
+                }
+            }
+        ],
+    },
+    {
+        "type": "text",
+        "text": "9,700 Refugees departed for resettlement in 2019 as of end of October, over 78 per cent of whom are Syrians",
+        "page": 0,
+        "textOrder": 3,
+        "relevant": True,
+        "prediction_status": True,
+        "classification": {
+            "element1": {
+                "pillar-0": {
+                    "o9kyhltzmplk0a1k": {
+                        "sector-9": []
+                    }
+                }
+            },
+            "overview-matrix1dWidget-d48u7z4yohwuu7zg": {
+                "8lowwhswgb5j9f5s": True
+            },
+            "element0": {
+                "kyiciutprwct1vph": {
+                    "4ftpwnssu2ugeekk": True
+                }
+            }
+        }
+    }
+    ]
+}
diff --git a/analysis_module/mockserver.py b/analysis_module/mockserver.py
index fe7a5fd..c7c3166 100644
--- a/analysis_module/mockserver.py
+++ b/analysis_module/mockserver.py
@@ -16,7 +16,11 @@
 
 from core.models import NLPRequest
 from core_server.settings import ENDPOINT_NAME
-from .mock_templates import MOCK_ENTRY_CLASSIFICATION, MOCK_ENTRY_CLASSIFICATION_FORMATTED, MOCK_GEOLOCATION  # noqa
+from .mock_templates import (MOCK_ENTRY_CLASSIFICATION,
+                             MOCK_ENTRY_CLASSIFICATION_LLM,
+                             MOCK_ENTRY_CLASSIFICATION_FORMATTED,
+                             MOCK_ENTRY_EXTRACTION_LLM,
+                             MOCK_GEOLOCATION) # noqa
 from .utils import send_callback_url_request
 
 
@@ -497,6 +501,62 @@ def process_entry_extraction_mock(body) -> Any:
             logger.error("Could not send data to callback url", exc_info=True)
 
 
+def entry_extraction_llm_mock(body) -> Any:
+    process_entry_extraction_llm_mock.apply_async(
+        args=(body,), countdown=2
+    )  # Trigger task after 2 seconds
+    return json.dumps({"status": "Successfully received the request."}), 200
+
+
+@shared_task
+def process_entry_extraction_llm_mock(body) -> Any:
+    documents = body.get("documents") or []
+
+    callback_url = body.get("callback_url")
+    if not documents or not callback_url:
+        return
+
+    for document in documents:
+        client_id = document["client_id"]
+        text_extraction_id = document["text_extraction_id"]
+        # random_extracted_text = "This is some random entry extracted text"
+        random_entry_extraction_classification = MOCK_ENTRY_EXTRACTION_LLM
+        random_entry_extraction_classification.update({
+            "classification_model_info": {
+                "name": "llm_model",
+                "version": "1.0.0"
+            },
+            "client_id": client_id,
+            "entry_extraction_id": "73f9ca13-deb2-4f39-8e86-a856490bfc0d",  # random
+            "text_extraction_id": text_extraction_id
+        })
+        filepath = save_data_local_and_get_url(
+            "entry_extraction", client_id, random_entry_extraction_classification
+        )
+
+        """
+        the text_extraction_id is not something easy to retrieve in case the request is
+        set with the "url". In both cases, with the url, or the textextractionid, the text
+        was already extracted, and it's not (easily) to retrieve the id from the presigned url.
+        In the case of a request with the id, is instead possible to get the right document.
+        """
+        callback_data = {
+            "client_id": client_id,
+            "entry_extraction_classification_path": filepath,
+            "text_extraction_id": text_extraction_id,
+            "status": 1
+        }
+        try:
+            requests.post(
+                callback_url,
+                json=callback_data,
+                timeout=30,
+            )
+            logger.info("Successfully send data on callback url for entry extraction.")
+        except Exception:
+            logger.error("Could not send data to callback url", exc_info=True)
+
+
 def entry_classification_mock(body) -> Any:
     process_entry_classification_mock.apply_async(
         args=(body,), countdown=2
@@ -504,6 +564,13 @@ def entry_classification_mock(body) -> Any:
     return json.dumps({"status": "Successfully received the request."}), 200
 
 
+def entry_classification_llm_mock(body) -> Any:
+    process_entry_classification_llm_mock.apply_async(
+        args=(body,), countdown=2
+    )  # Trigger task after 2 seconds
+    return json.dumps({"status": "Successfully received the request."}), 200
+
+
 @shared_task
 def process_entry_classification_mock(body) -> Any:
     callback_payload = MOCK_ENTRY_CLASSIFICATION
@@ -527,6 +594,29 @@ def process_entry_classification_mock(body) -> Any:
         logger.error("Could not send data to callback url", exc_info=True)
 
 
+@shared_task
+def process_entry_classification_llm_mock(body) -> Any:
+    callback_payload = MOCK_ENTRY_CLASSIFICATION_LLM
+    callback_payload.update({
+        "client_id": body["entries"][0]["client_id"],
+        "model_info": {
+            "id": "llm_model",
+            "version": "1.0.0"
+        },
+        "prediction_status": True
+    })
+    callback_url = body["callback_url"]
+    try:
+        requests.post(
+            callback_url,
+            json=callback_payload,
+            timeout=30
+        )
+        logger.info("Successfully send data on callback url for entry classification")
+    except Exception:
+        logger.error("Could not send data to callback url", exc_info=True)
+
+
 TYPE_ACTIONS_MOCK = {
     "topicmodel": topicmodeling_mock_model,
     "summarization": summarization_mock_model,
@@ -535,7 +625,9 @@ def process_entry_classification_mock(body) -> Any:
     "geolocation": geolocation_mock_model,
     "text-extraction": text_extraction_mock,
     "entry-extraction-classification": entry_extraction_mock,
-    "entry-classification": entry_classification_mock
+    "entry-extraction-classification-llm": entry_extraction_llm_mock,
+    "entry-classification": entry_classification_mock,
+    "entry-classification-llm": entry_classification_llm_mock
 }
 
 
diff --git a/analysis_module/serializers.py b/analysis_module/serializers.py
index 54ee1d3..6a44de1 100644
--- a/analysis_module/serializers.py
+++ b/analysis_module/serializers.py
@@ -69,6 +69,16 @@ class PredictionRequestSerializer(serializers.Serializer):
     mock = serializers.BooleanField(default=False)
 
 
+class PredictionRequestSerializerV2(serializers.Serializer):
+    entries = PredictionEntrySerializer(many=True)
+    af_id = serializers.IntegerField()
+    project_id = serializers.IntegerField()
+    publishing_organization = serializers.CharField()
+    authoring_organization = serializers.ListField()
+    callback_url = serializers.CharField()
+    mock = serializers.BooleanField(default=False)
+
+
 class ExtractionDocumentSerializer(serializers.Serializer):
     url = serializers.CharField()
     client_id = serializers.CharField()
@@ -137,8 +147,19 @@ def to_representation(self, value):
 
 
 class EntryExtractionSerializer(serializers.Serializer):
+    documents = DocumentEntryExtractionUnionField()
+    callback_url = serializers.CharField()
+    request_type = serializers.ChoiceField(
+        choices=ExtractionRequestTypeChoices,
+        default=ExtractionRequestTypeChoices.USER,
+    )
+    mock = serializers.BooleanField(default=False)
+
 
+class EntryExtractionSerializerLLM(serializers.Serializer):
     documents = DocumentEntryExtractionUnionField()
+    af_id = serializers.IntegerField()
+    project_id = serializers.IntegerField()
     callback_url = serializers.CharField()
     request_type = serializers.ChoiceField(
         choices=ExtractionRequestTypeChoices,
diff --git a/analysis_module/utils.py b/analysis_module/utils.py
index 90b8cd7..9cf063c 100644
--- a/analysis_module/utils.py
+++ b/analysis_module/utils.py
@@ -9,6 +9,7 @@
 from urllib.parse import urljoin
 from typing import Dict, Literal, List, Any
 from nlp_scripts.model_prediction.model_prediction import ModelTagsPrediction
+from nlp_scripts.model_prediction.llm.model_prediction import LLMTagsPrediction
 
 from django.utils import timezone
 
@@ -183,7 +184,7 @@ def get_geolocations(excerpts: List[str], req_timeout: int = 60):
 
 
 @shared_task
-def send_classification_tags(nlp_request_id: int):
+def send_classification_tags(nlp_request_id: int, version: str = "v1"):
     nlp_request = NLPRequest.objects.get(pk=nlp_request_id)
     predictor = ModelTagsPrediction()
     entries_dict = nlp_request.request_params["entries"]
@@ -217,6 +218,41 @@ def send_classification_tags(nlp_request_id: int):
         logger.error("Could not send http request on callback url : {callback_url}", exc_info=True)
 
 
+@shared_task
+def send_classification_tags_llm(nlp_request_id: int, version: str = "v1"):
+    nlp_request = NLPRequest.objects.get(pk=nlp_request_id)
+    predictor = LLMTagsPrediction(analysis_framework_id=nlp_request.request_params['af_id'])
+    entries_dict = nlp_request.request_params["entries"]
+    pred_data = predictor.predict(entries_dict)[0]
+
+    entries_only = [item["entry"] for item in entries_dict]
+    geolocations = get_geolocations(entries_only)
+
+    output_data = {
+        "client_id": entries_dict[0]["client_id"],
+        "model_tags": pred_data,
+        "geolocations": geolocations[0]["locations"] if geolocations else [],
+        "model_info": {
+            "id": "llm_model",
+            "version": "1.0.0"
+        },
+        "prediction_status": True
+    }
+
+    callback_url = nlp_request.request_params["callback_url"]
+
+    try:
+        response = requests.post(
+            callback_url,
+            json=output_data,
+            timeout=30
+        )
+        if response.status_code < 200 or response.status_code > 299:
+            logger.error(f"Failed to receive an acknowledgement. Status code: {response.status_code}")
+    except Exception:
+        logger.error("Could not send http request on callback url : {callback_url}", exc_info=True)
+
+
 def send_ecs_http_request(nlp_request: NLPRequest):
     ecs_id_param_name = get_ecs_id_param_name(nlp_request.type)
     url = get_ecs_url(nlp_request.type)
@@ -250,6 +286,7 @@ def get_ecs_id_param_name(request_type: NLPRequest.FeaturesType):
         NLPRequest.FeaturesType.TOPICMODEL: "topicmodel_id",
         NLPRequest.FeaturesType.GEOLOCATION: "geolocation_id",
         NLPRequest.FeaturesType.ENTRY_EXTRACTION: "entryextraction_id",
+        NLPRequest.FeaturesType.ENTRY_EXTRACTION_LLM: "entryextraction_id",
         NLPRequest.FeaturesType.TEXT_EXTRACTION: "textextraction_id",
         NLPRequest.FeaturesType.SUMMARIZATION_V3: "summarization_id"
     }
@@ -261,6 +298,7 @@ def get_ecs_url(request_type: NLPRequest.FeaturesType):
         NLPRequest.FeaturesType.TOPICMODEL: urljoin(TOPICMODEL_ECS_ENDPOINT, "/get_excerpt_clusters"),
         NLPRequest.FeaturesType.GEOLOCATION: urljoin(GEOLOCATION_ECS_ENDPOINT, "/get_geolocations"),
         NLPRequest.FeaturesType.ENTRY_EXTRACTION: urljoin(ENTRYEXTRACTION_ECS_ENDPOINT, "/extract_entries"),
+        NLPRequest.FeaturesType.ENTRY_EXTRACTION_LLM: urljoin(ENTRYEXTRACTION_ECS_ENDPOINT, "/extract_entries_llm"),
         NLPRequest.FeaturesType.TEXT_EXTRACTION: urljoin(TEXT_EXTRACTION_ECS_ENDPOINT, "/extract_document"),
         NLPRequest.FeaturesType.SUMMARIZATION_V3: urljoin(SUMMARIZATION_V3_ECS_ENDPOINT, "/generate_report")
     }
diff --git a/analysis_module/views/entry_extraction_v2.py b/analysis_module/views/entry_extraction_v2.py
new file mode 100644
index 0000000..5df17dd
--- /dev/null
+++ b/analysis_module/views/entry_extraction_v2.py
@@ -0,0 +1,61 @@
+from copy import deepcopy
+from django.db import transaction
+from rest_framework import status
+from rest_framework.decorators import api_view, permission_classes
+from rest_framework.permissions import IsAuthenticated
+from rest_framework.request import Request
+from rest_framework.response import Response
+
+from core_server.settings import IS_MOCKSERVER
+from core.models import NLPRequest
+from analysis_module.serializers import EntryExtractionSerializerLLM, ExtractionRequestTypeChoices
+from analysis_module.utils import send_ecs_http_request
+from analysis_module.mockserver import process_mock_request
+
+
+@api_view(["POST"])
+@permission_classes([IsAuthenticated])
+def entry_extraction(request: Request):
+    serializer = EntryExtractionSerializerLLM(data=request.data)
+    serializer.is_valid(raise_exception=True)
+
+    data = deepcopy(serializer.validated_data)
+    items = data.pop("documents")
+    if not items:
+        return Response(
+            {"message": "No documents present"},
+            status=status.HTTP_400_BAD_REQUEST,
+        )
+    req_type = NLPRequest.FeaturesType.ENTRY_EXTRACTION_LLM
+
+    if serializer.validated_data.get("mock") or IS_MOCKSERVER:
+        return process_mock_request(
+            request=serializer.validated_data,
+            request_type=req_type,
+        )
+    # Create NLPRequest objects
+    nlp_reqs = []
+    for doc in items:
+        nlp_request = NLPRequest.objects.create(
+            client_id=doc["client_id"],
+            type=req_type,
+            request_params={**doc, **data},
+            created_by=request.user,
+        )
+        nlp_reqs.append(nlp_request)
+
+        if serializer.validated_data["request_type"] in [
+            ExtractionRequestTypeChoices.USER,
+            ExtractionRequestTypeChoices.SYSTEM
+        ]:
+            transaction.on_commit(lambda: send_ecs_http_request(nlp_request))
+
+    resp = {
+        "type": req_type,
+        "message": "Request has been successfully queued",
+        "request_ids": [str(x.unique_id) for x in nlp_reqs],
+    }
+    return Response(
+        resp,
+        status=status.HTTP_202_ACCEPTED,
+    )
diff --git a/analysis_module/views/predictions_v2.py b/analysis_module/views/predictions_v2.py
new file mode 100644
index 0000000..d71f93c
--- /dev/null
+++ b/analysis_module/views/predictions_v2.py
@@ -0,0 +1,58 @@
+import logging
+from django.db import transaction
+from rest_framework.decorators import api_view, permission_classes
+from rest_framework.permissions import IsAuthenticated
+from rest_framework.request import Request
+from rest_framework.response import Response
+from rest_framework import status
+
+from core_server.settings import IS_MOCKSERVER
+from core.models import NLPRequest
+from analysis_module.serializers import PredictionRequestSerializerV2
+# from analysis_module.mockserver import MOCK_ENTRY_CLASSIFICATION
+from analysis_module.utils import send_classification_tags_llm
+from analysis_module.mockserver import process_mock_request
+
+
+logger = logging.getLogger(__name__)
+
+
+@api_view(["POST"])
+@permission_classes([IsAuthenticated])
+def entry_classification(request: Request):
+
+    serializer = PredictionRequestSerializerV2(data=request.data)
+    serializer.is_valid(raise_exception=True)
+
+    entries = serializer.validated_data["entries"]
+    req_type = NLPRequest.FeaturesType.ENTRY_CLASSIFICATION_LLM
+
+    if serializer.validated_data.get("mock") or IS_MOCKSERVER:
+        return process_mock_request(
+            request=serializer.validated_data,
+            request_type=req_type
+        )
+    if not entries:
+        return Response({})
+    # Create a NLPRequest object
+    nlp_request = NLPRequest.objects.create(
+        client_id=entries[0]["client_id"],
+        type=NLPRequest.FeaturesType.ENTRY_CLASSIFICATION_V2,
+        request_params=serializer.validated_data,
+        created_by=request.user,
+    )
+
+    resp = {
+        "type": req_type,
+        "message": "Request has been successfully queued.",
+        "request_ids": nlp_request.unique_id
+    }
+
+    transaction.on_commit(
+        lambda: send_classification_tags_llm.delay(nlp_request_id=nlp_request.pk)
+    )
+
+    return Response(
+        resp,
+        status=status.HTTP_202_ACCEPTED,
+    )
diff --git a/core/models.py b/core/models.py
index 4876a7a..8330160 100644
--- a/core/models.py
+++ b/core/models.py
@@ -450,8 +450,10 @@ class FeaturesType(models.TextChoices):
         GEOLOCATION = "geolocation", "Geolocation"
         TAGS_MAPPING = "tags-mapping", "Tags Mapping"
         ENTRY_CLASSIFICATION = "entry-classification", "Entry Classification"
+        ENTRY_CLASSIFICATION_LLM = "entry-classification-llm", "Entry Classificationv-LLM"
         TEXT_EXTRACTION = "text-extraction", "Text Extraction"
         ENTRY_EXTRACTION = "entry-extraction-classification", "Entry Extraction Classification"
+        ENTRY_EXTRACTION_LLM = "entry-extraction-classification-llm", "Entry Extraction Classification-LLM"
 
     client_id = models.CharField(max_length=50)
     status = models.IntegerField(choices=RequestStatus.choices, default=RequestStatus.INITIATED)
diff --git a/core/tasks/queries.py b/core/tasks/queries.py
index b22b6a8..f44a278 100644
--- a/core/tasks/queries.py
+++ b/core/tasks/queries.py
@@ -97,6 +97,7 @@
 group by pp.id
 having count(ll.id) > 10
 """
+
 # NOTE: having count(ll.id) > 10. 10 is experimental here. There are a lot of
 # garbage projects with less than 10 leads. So this filter significantly
 # reduces the number or projects to fetch.
@@ -218,3 +219,5 @@
     id, title
     FROM geo_geoarea
 """
+
+af_widget_by_id = "SELECT * from analysis_framework_widget ll WHERE ll.analysis_framework_id={}"
diff --git a/core_server/env.py b/core_server/env.py
index 3bd7108..0ce7509 100644
--- a/core_server/env.py
+++ b/core_server/env.py
@@ -61,4 +61,11 @@
     GEOLOCATION_MODEL_VERSION=str,
     RELIABILITY_MODEL_ID=str,
     RELIABILITY_MODEL_VERSION=str,
+
+    # LLM
+    OPENAI_API_KEY=str,
+    OPENAI_MAIN_MODEL=(str, "gpt-4o"),
+    OPENAI_SMALL_MODEL=(str, "gpt-4o-mini"),
+    BEDROCK_MAIN_MODEL=(str, "anthropic.claude-3-5-sonnet-20240620-v1:0"),
+    BEDROCK_SMALL_MODEL=(str, "us.amazon.nova-micro-v1:0")
 )
diff --git a/core_server/settings.py b/core_server/settings.py
index 2dba760..1c97405 100644
--- a/core_server/settings.py
+++ b/core_server/settings.py
@@ -56,6 +56,7 @@
 SUMMARIZATION_V3_ECS_ENDPOINT = env("SUMMARIZATION_V3_ECS_ENDPOINT")
 TEXT_EXTRACTION_ECS_ENDPOINT = env("TEXTEXTRACTION_ECS_ENDPOINT")
 ENTRYEXTRACTION_ECS_ENDPOINT = env("ENTRYEXTRACTION_ECS_ENDPOINT")
+ENTRYEXTRACTION_LLM_ECS_ENDPOINT = env("ENTRYEXTRACTION_LLM_ECS_ENDPOINT")
 GEOLOCATION_ECS_ENDPOINT = env("GEOLOCATION_ECS_ENDPOINT")
 TOPICMODEL_ECS_ENDPOINT = env("TOPICMODEL_ECS_ENDPOINT")
 
diff --git a/core_server/urls.py b/core_server/urls.py
index e958574..0495323 100644
--- a/core_server/urls.py
+++ b/core_server/urls.py
@@ -30,6 +30,8 @@
     nlp_tags,
 )
 
+from analysis_module.views.predictions_v2 import entry_classification as llm_entry_classification
+from analysis_module.views.entry_extraction_v2 import entry_extraction as llm_entry_extraction
 from analysis_module.views.entry_extraction import (
     entry_extraction
 )
@@ -43,11 +45,13 @@
     path("api/v1/summarization/", summarization),
     path("api/v1/text-extraction/", text_extraction),
     path("api/v1/entry-extraction-classification/", entry_extraction),
+    path("api/v1/entry-extraction-classification-llm/", llm_entry_extraction),
     path("api/v1/ngrams/", ngrams),
     path("api/v1/geolocation/", geolocation),
     path("api/v1/tags-mapping/", tags_mapping),
     path("api/v1/nlp-tags/", nlp_tags),
     path("api/v1/entry-classification/", entry_classification),
+    path("api/v1/entry-classification-llm/", llm_entry_classification),
     path("api/v1/analysismodule/status/<uuid:unique_id>/", request_status),
     path("api/v1/models-info/", models_detail),
     path("api/v1/test-auth/", token_auth_dummy_view),
diff --git a/docker-compose-prod.yml b/docker-compose-prod.yml
index fff00dc..03565ab 100644
--- a/docker-compose-prod.yml
+++ b/docker-compose-prod.yml
@@ -46,6 +46,7 @@ x-server: &base-server-config
     SUMMARIZATION_V3_ECS_ENDPOINT: ${SUMMARIZATION_V3_ECS_ENDPOINT:?Provide summarization v3 endpoint}
     TEXTEXTRACTION_ECS_ENDPOINT: ${TEXTEXTRACTION_ECS_ENDPOINT:?Provide text extraction endpoint}
     ENTRYEXTRACTION_ECS_ENDPOINT: ${ENTRYEXTRACTION_ECS_ENDPOINT:?Provide entry extraction endpoint}
+    ENTRYEXTRACTION_LLM_ECS_ENDPOINT: ${ENTRYEXTRACTION_LLM_ECS_ENDPOINT:?Provide entry extraction llm endpoint}
     GEOLOCATION_ECS_ENDPOINT: ${GEOLOCATION_ECS_ENDPOINT:?Provide geolocation endpoint}
     TOPICMODEL_ECS_ENDPOINT: ${TOPICMODEL_ECS_ENDPOINT:?Provide topic model endpoint}
 
diff --git a/docker-compose.yml b/docker-compose.yml
index 1f06fef..297c899 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -55,6 +55,7 @@ x-server: &base-server-config
     SUMMARIZATION_V3_ECS_ENDPOINT: ${SUMMARIZATION_V3_ECS_ENDPOINT:?Provide summarization v3 endpoint}
     TEXTEXTRACTION_ECS_ENDPOINT: ${TEXTEXTRACTION_ECS_ENDPOINT:?Provide text extraction endpoint}
     ENTRYEXTRACTION_ECS_ENDPOINT: ${ENTRYEXTRACTION_ECS_ENDPOINT:?Provide entry extraction endpoint}
+    ENTRYEXTRACTION_LLM_ECS_ENDPOINT: ${ENTRYEXTRACTION_LLM_ECS_ENDPOINT:?Provide entry extraction llm endpoint}
     GEOLOCATION_ECS_ENDPOINT: ${GEOLOCATION_ECS_ENDPOINT:?Provide geolocation endpoint}
     TOPICMODEL_ECS_ENDPOINT: ${TOPICMODEL_ECS_ENDPOINT:?Provide topic model endpoint}
 
@@ -70,6 +71,8 @@ x-server: &base-server-config
     RELIABILITY_MODEL_ID: ${RELIABILITY_MODEL_ID:-reliability-model}
     RELIABILITY_MODEL_VERSION: ${RELIABILITY_MODEL_VERSION:-1.0.0}
 
+    OPENAI_API_KEY: ${OPENAI_API_KEY:-abcd}
+
   volumes:
     - ./:/code/
   tty: true
diff --git a/nlp_scripts/model_prediction/llm/model_prediction.py b/nlp_scripts/model_prediction/llm/model_prediction.py
new file mode 100644
index 0000000..4c7a7ec
--- /dev/null
+++ b/nlp_scripts/model_prediction/llm/model_prediction.py
@@ -0,0 +1,364 @@
+import os
+import json
+import redis
+
+from box import Box
+from dataclasses import make_dataclass, field, dataclass
+from pydantic import BaseModel, Field, create_model
+from concurrent.futures import ThreadPoolExecutor
+from langchain_aws import ChatBedrock, ChatBedrockConverse
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.runnables import RunnableParallel
+from langchain_openai import ChatOpenAI
+
+from nlp_scripts.model_prediction.llm.prompt_utils import *
+from nlp_scripts.model_prediction.llm.utils import process_primary_tags, combine_properties
+from utils.db import connect_db
+from core_server.env import env
+from core.tasks.queries import af_widget_by_id
+
+os.environ["OPENAI_API_KEY"] = env("OPENAI_API_KEY")
+
+
+class WidgetsMappings:
+    
+    def __init__(self, selected_widgets: list):
+
+        self.mappings = {}
+        self.selected_widgets = selected_widgets
+        self.WidgetTypes = make_dataclass(
+            'WidgetTypes',
+            [(widget, str, field(default=widget))for widget in list(set([element.widget_id
+                                                                         for element in self.selected_widgets]))]
+        )
+        self.create_mappings()
+
+    def __update(self, key: str, value: dict, version: int, widget_type: str):
+        
+        self.mappings.update({key: value})
+        self.mappings[key].update({
+            "version": version,
+            "widget_id": widget_type
+            })
+
+    def __process_widget_1d(self, key: str, properties: dict, version: int):
+
+        _, rows = process_primary_tags(properties, order="rows", type_="1d")
+        self.__update(
+            key=key,
+            value=rows,
+            version=version,
+            widget_type=self.WidgetTypes.matrix1dWidget
+        )
+
+    def __process_widget_2d(self, key: str, properties: dict, version: int):
+
+        _, rows = process_primary_tags(properties, order="rows")
+        _, columns = process_primary_tags(properties, order="columns")
+        rows.update(columns)
+
+        self.__update(
+            key=key,
+            value=rows,
+            version=version,
+            widget_type=self.WidgetTypes.matrix2dWidget
+        )
+
+    def __process_widget_multiselect(self, key: str, properties: dict, version: int):
+        raise NotImplementedError
+
+    def __process_widget_organigram(self, key: str, properties: dict, version: int):
+        raise NotImplementedError
+
+    def __process_widget_daterange(self, key: str, properties: dict, version: int):
+        raise NotImplementedError
+
+    def __process_widget_scale(self, key: str, properties: dict, version: int):
+        raise NotImplementedError
+
+    def create_mappings(self):
+        for d in self.selected_widgets:
+            if d.widget_id == self.WidgetTypes.matrix1dWidget:
+                self.__process_widget_1d(d.key, d.properties, d.version)
+            elif d.widget_id == self.WidgetTypes.matrix2dWidget:
+                self.__process_widget_2d(d.key, d.properties, d.version)
+            elif d.widget_id == self.WidgetTypes.multiselectWidget:
+                self.__process_widget_multiselect(d.key, d.properties, d.version)
+            elif d.widget_id == self.WidgetTypes.organigramWidget:
+                self.__process_widget_organigram(d.key, d.properties, d.version)
+            elif d.widget_id == self.WidgetTypes.dateRangeWidget:
+                self.__process_widget_daterange(d.key, d.properties, d.version)
+            elif d.widget_id == self.WidgetTypes.scaleWidget:
+                self.__process_widget_scale(d.key, d.properties, d.version)
+
+
+class WidgetSchema:
+    @dataclass
+    class Schema:
+        type: str
+        prompt: str
+        model: str
+        properties: dict
+        pyd_class: BaseModel
+
+    def __init__(self, selected_widgets: list, model_family: str = "openai"):
+        self.schemas = {}
+        self.max_widget_length = 50
+        self.selected_widgets = selected_widgets
+        self.model_family = model_family
+        self.mappings_instance = WidgetsMappings(self.selected_widgets)
+        self.mappings = self.mappings_instance.mappings
+        self.create_schemas()
+
+    def __foundation_model_id_selection(
+        self,
+        schema: BaseModel = None,
+        ln_threshold: int = 30
+    ):
+        length = len(schema.schema()["properties"].keys())
+        
+        if self.model_family == "bedrock":
+            
+            model_id_main = env("BEDROCK_MAIN_MODEL")
+            model_id_small = env("BEDROCK_SMALL_MODEL") # haiku model overclassify a lot for some reason
+            
+            return model_id_main if length<=ln_threshold else model_id_main
+            
+        elif self.model_family == "openai":
+            
+            model_id_main = env("OPENAI_MAIN_MODEL")
+            model_id_small = env("OPENAI_SMALL_MODEL")
+
+            return model_id_small if length<=ln_threshold else model_id_main
+        
+        # other foundation model families can be added here
+
+    def __update(self, key: str, value: Schema):
+        self.schemas.update({key: value})
+
+    def __process_widget_1d(self, key: str, properties: dict, class_name: str = "Pillars"):
+        
+        properties, _ = process_primary_tags(properties, order="rows", type_="1d")
+        # dynamic pydantic class creation
+        pillars = create_model(
+                    class_name,
+                    __base__=BaseModel,
+                    __doc__=DESCRIPTION_PILLARS.format(class_name.lower()),
+                    **{k: (bool, Field(title=k, 
+                                       description=v['description'], 
+                                       default=False)) 
+                    for k, v in properties.items()}
+                )
+        self.__update(key, self.Schema(
+            type=self.mappings_instance.WidgetTypes.matrix1dWidget,
+            prompt=MAIN_PROMT.format(class_name)+INPUT_PASSAGE,
+            model=self.__foundation_model_id_selection(schema=pillars),
+            properties=properties,
+            pyd_class=pillars
+        ))
+        
+    def __process_widget_2d(self, key: str, properties: dict, class_name: str = "Matrix"):
+        
+        properties_row, _ = process_primary_tags(properties, order="rows")
+        properties_columns, _ = process_primary_tags(properties, order="columns")
+        properties = combine_properties(properties_columns=properties_columns,
+                                        properties_row=properties_row,
+                                        max_length=self.max_widget_length,
+                                        reduce_on_length=True) # setting the description reduction
+        # dynamic pydantic class creation
+        matrix = create_model(
+                    class_name,
+                    __base__=BaseModel,
+                    __doc__=DESCRIPTION_MATRIX.format(class_name.lower()),
+                    **{k: (bool, Field(title=k, 
+                                       description=v['description'], 
+                                       default=False)) 
+                    for k, v in properties.items()}
+                )
+        
+        self.__update(key, self.Schema(
+            type=self.mappings_instance.WidgetTypes.matrix2dWidget,
+            prompt=MAIN_PROMT.format(class_name)+INPUT_PASSAGE,
+            model=self.__foundation_model_id_selection(schema=matrix),
+            properties=properties,
+            pyd_class=matrix
+        ))
+
+    def __process_widget_multiselect(self, key: str, properties: dict, class_name: str):
+        raise NotImplementedError
+    
+    def __process_widget_organigram(self, key: str, properties: dict, class_name: str):
+        raise NotImplementedError
+
+    def __process_widget_daterange(self, key: str, properties: dict, class_name: str):
+        raise NotImplementedError
+
+    def __process_widget_scale(self, key: str, properties: dict, class_name: str):
+        raise NotImplementedError
+
+    def create_schemas(self):
+
+        for d in self.selected_widgets:
+            
+            if d.widget_id == self.mappings_instance.WidgetTypes.matrix1dWidget:
+                self.__process_widget_1d(d.key, d.properties, "Pillar")
+            
+            elif d.widget_id == self.mappings_instance.WidgetTypes.matrix2dWidget:
+                self.__process_widget_2d(d.key, d.properties, "Matrix")
+
+            elif d.widget_id == self.mappings_instance.WidgetTypes.multiselectWidget:
+                self.__process_widget_multiselect(d.key, d.properties, "Multiselect")
+            
+            elif d.widget_id == self.mappings_instance.WidgetTypes.organigramWidget:
+                self.__process_widget_organigram(d.key, d.properties, "Organigram")
+            
+            elif d.widget_id == self.mappings_instance.WidgetTypes.dateRangeWidget:
+                self.__process_widget_daterange(d.key, d.properties, "Date")
+
+            elif d.widget_id == self.mappings_instance.WidgetTypes.scaleWidget:
+                self.__process_widget_scale(d.key, d.properties, "Scale")
+
+
+class LLMTagsPrediction:
+
+    AVAILABLE_WIDGETS: list = ["matrix2dWidget", "matrix1dWidget"] # it'll be extended to all widget types
+    AVAILABLE_FOUNDATION_MODELS: list = ["bedrock", "openai"]
+
+    def __init__(self, analysis_framework_id: int, model_family: str = "openai"):
+
+        self.af_id = analysis_framework_id
+        self.model_family = model_family
+
+        assert self.model_family in self.AVAILABLE_FOUNDATION_MODELS, ValueError("Selected model family not implemented")
+
+        # self.cursor = self.__get_deep_db_connection().cursor
+        self.selected_widgets = self.__get_framework_widgets()
+        self.widgets = WidgetSchema(self.selected_widgets, self.model_family)
+
+    def __get_deep_db_connection(self):
+        return connect_db()
+
+    def __get_elasticache(self, port: int = 6379):
+        return redis.Redis(host=env("REDIS_HOST"), 
+                           port=port, 
+                           decode_responses=True)
+
+    def __get_framework_widgets(self, expire_time: int = 1200): 
+        
+        # let's get or save the af_id widget original data on elasticache for 20 minutes
+        # avoiding multiple db connection and executions on the same analysis framework id. 
+
+        self.redis = self.__get_elasticache()
+        cached_afw = self.redis.get(f"af_id:{self.af_id}")
+        if cached_afw:
+            afw = [Box(element) for element in json.loads(cached_afw)]
+        else:
+            self.cursor = self.__get_deep_db_connection().cursor
+            self.cursor.execute(af_widget_by_id.format(self.af_id))
+            fetch = self.cursor.fetchall()
+            if not fetch:
+                raise ValueError(f"Not possible to retrieve framework widgets: {self.af_id}")
+            else:
+                afw = [Box(dict(zip([c.name for c in self.cursor.description], row))) for row in fetch]
+                afw = [element for element in afw if afw.widget_id in self.AVAILABLE_WIDGETS]
+                self.redis.set(
+                    name=f"af_id:{self.af_id}", 
+                    ex=expire_time, 
+                    value=json.dumps(afw)
+                )
+
+        return afw
+
+    def __predict_entry(self, excerpt: str):
+
+        # this method run a parallel predition across all the selected widgets 
+        results_dict = {}    
+
+        def select_model_instance(model_name: str):
+            
+            if self.model_family == "bedrock": model = ChatBedrockConverse(model_id=model_name, temperature=0)
+            elif self.model_family == "openai": model = ChatOpenAI(model=model_name, temperature=0)
+            
+            return model
+    
+        def create_chain(prompt: str, llm: str, pydantic_model: BaseModel):
+            
+            tagging_prompt = ChatPromptTemplate.from_template(prompt)
+            _llm = select_model_instance(model_name=llm).with_structured_output(pydantic_model)
+            return tagging_prompt | _llm
+
+        # running the excerpt tagging in a parallel way across all the widgets of the framework
+        parallel_tasks = RunnableParallel(**{k: 
+                                             create_chain(v.prompt, 
+                                                          v.model, 
+                                                          v.pyd_class) for k, v in self.widgets.schemas.items()})
+
+        results = parallel_tasks.invoke({"input": excerpt})
+        
+        # here we select just the alias keys tagged as True
+        for k, v in results.items():
+            results_dict.update({k: []})
+            for i, j in v.dict(by_alias=True).items():
+                if j: results_dict[k].append(i)
+        
+        return self.__convert_result(results_dict)
+    
+    def predict(self, excerpts: list):
+        
+        excerpts = [text.get("entry") for text in excerpts]
+        with ThreadPoolExecutor() as executor:
+            results = list(executor.map(self.__predict_entry, excerpts))
+
+        return results    
+
+    def __convert_result(self, prediction: dict):
+
+        results = {}
+        for k, v in prediction.items():
+            # don't add nothing to the result if no tags are predicted
+            if not v: continue
+
+            type_ = self.widgets.schemas[k].type
+            schema = self.widgets.schemas[k].properties
+            
+            if type_ == self.widgets.mappings_instance.WidgetTypes.matrix1dWidget:
+
+                if k not in results.keys(): results.update({k: {}})
+                for c in v:
+                    alias = schema[c]["alias"]
+                    pillar, subpillar = alias.split("->")
+                    if pillar not in results[k].keys(): results[k].update({pillar: {}})
+                    results[k][pillar].update({subpillar: True})
+
+            elif type_ == self.widgets.mappings_instance.WidgetTypes.matrix2dWidget:
+
+                if k not in results.keys(): results.update({k: {}})
+                for c in v:
+                    alias = schema[c]["alias"]
+                    elements = alias.split("->")
+                    if len(elements) == 3: # prediction without subcolumn
+                        sector, pillar, subpillar = elements
+                        if pillar not in results[k].keys(): results[k].update({pillar: {}})
+                        if not subpillar in results[k][pillar].keys(): results[k][pillar].update({subpillar: {}})
+                        results[k][pillar][subpillar].update({sector: []})
+                    elif len(elements) == 4: # prediction with subcolumn
+                        sector, subsector, pillar, subpillar = elements
+                        if pillar not in results[k].keys(): results[k].update({pillar: {}})
+                        if not subpillar in results[k][pillar].keys(): results[k][pillar].update({subpillar: {}})
+                        if not sector in results[k][pillar][subpillar].keys(): results[k][pillar][subpillar].update({sector: []})
+                        results[k][pillar][subpillar][sector].append(subsector)
+
+            elif type_ == self.widgets.mappings_instance.WidgetTypes.multiselectWidget:
+                raise NotImplementedError
+            
+            elif type_ == self.widgets.mappings_instance.WidgetTypes.organigramWidget:
+                raise NotImplementedError
+            
+            elif type_ == self.widgets.mappings_instance.WidgetTypes.dateRangeWidget:
+                raise NotImplementedError
+            
+            elif type_ == self.widgets.mappings_instance.WidgetTypes.scaleWidget:
+                raise NotImplementedError
+        
+        return results
+
diff --git a/nlp_scripts/model_prediction/llm/prompt_utils.py b/nlp_scripts/model_prediction/llm/prompt_utils.py
new file mode 100644
index 0000000..46b2352
--- /dev/null
+++ b/nlp_scripts/model_prediction/llm/prompt_utils.py
@@ -0,0 +1,12 @@
+
+MAIN_PROMT = """
+You are an humanitarian analyst. Extract the desired information from the following passage.
+Only extract the properties mentioned in the {} function. It's a multi-label text classification task, try to assign a boolean value for each label considering the content of the passage
+"""
+
+DESCRIPTION_PILLARS = """Those are the {} labels that you will use to classify text. Each element can be selected as True or False. It's a multi-label classification task, so not just one label can be inferred as True. If the passage is not enough clear to be associated to some label, also none of them can be selected. Be sure to not over-classify the passage, but just select what you're sure about."""
+DESCRIPTION_MATRIX = """Those are the {} labels that you will use to classify text. Each label is a combination of a column label (Column category) and a row label (Row category). Each element can be selected as True or False. It's a multi-label classification task, so not just one label can be inferred as True. If the passage can't clearly be associated to some label, none of them must be selected. Be sure to not over-classify the passage, but just select what you're sure about."""
+
+MULTI_DESCRIPTION = """Column category: {}. Row category: {}."""
+
+INPUT_PASSAGE = "\nPassage:\n{input}"
\ No newline at end of file
diff --git a/nlp_scripts/model_prediction/llm/utils.py b/nlp_scripts/model_prediction/llm/utils.py
new file mode 100644
index 0000000..16d5e1f
--- /dev/null
+++ b/nlp_scripts/model_prediction/llm/utils.py
@@ -0,0 +1,124 @@
+import re
+from nlp_scripts.model_prediction.llm.prompt_utils import  *
+
+
+def manage_description(name, description):
+    m_desc, s_desc = description
+    _, s_name = name
+    if s_desc:
+        return s_desc
+    elif m_desc:
+        return f"{m_desc}. Subcategory: {s_name}"
+
+
+def _sanitize_keys_with_uniqueness(key, max_length: int = 64):
+    sanitized = re.sub(r'[^a-zA-Z0-9_-]', '_', key)
+    sanitized = re.sub(r'^_+', '', sanitized)  # pydantic model keys can't start with _
+    sanitized = sanitized[:max_length]
+    return sanitized
+
+
+def add_element(name, description, alias, main_class=None):
+    element = {
+        "alias": alias,
+        "type": "boolean",
+        "default": False,
+    }
+    if main_class:
+        element["main_class"] = main_class
+    if (isinstance(description, str) and description) or (isinstance(description, list) and any(c != "" for c in description)):
+        element.update({
+            "description": description if isinstance(description, str) else manage_description(name, description)
+        })
+    else:
+        element.update({
+            "description": name if isinstance(name, str) else f"{name[0]}, {name[1]}"
+        })
+    element.update({
+            "plain_description": name if isinstance(name, str) else f"{name[0]}, {name[1]}"
+        })
+    return {
+         _sanitize_keys_with_uniqueness(name.replace(" ", "_").lower()) if isinstance(name, str) else _sanitize_keys_with_uniqueness(
+             [el.replace(" ", "_").lower() for el in name][1]): element
+    }
+
+
+def process_primary_tags(ex: list, order="columns", type_="2d", max_length: int = 50):
+    def get_tooltip(el):
+        if el.get("tooltip"):
+            return  el.get("tooltip")
+        else:
+            return ""
+
+    properties = {}
+    id_to_info = {}
+    for c in ex[order]:
+        name_main = c["label"].strip()
+        description_main = get_tooltip(c)
+        alias_main = c["key"]
+        id_to_info.update({c["key"]: {"label": c["label"], "order": c["order"]}})
+
+        if type_ == "1d":
+            for cc in c["cells"]:
+                name = cc["label"].strip()
+                description = get_tooltip(cc)
+                alias = cc["key"]
+                id_to_info.update({cc["key"]: {"label": cc["label"], "order": cc["order"]}})
+                prop = add_element(
+                    name=[name_main, name],
+                    description=[description_main, description],
+                    alias="->".join([alias_main, alias])
+                )
+                properties.update(prop)
+        elif type_ == "2d" and f"sub{order.title()}" in c.keys() and c.get(f"sub{order.title()}"):
+            for cc in c[f"sub{order.title()}"]:
+                name = cc["label"].strip()
+                description = get_tooltip(cc)
+                alias = cc["key"]
+                id_to_info.update({cc["key"]: {"label": cc["label"], "order": cc["order"]}})
+                prop = add_element(
+                    name=[name_main, name],
+                    description=[description_main, description],
+                    alias="->".join([alias_main, alias]),
+                    main_class=name_main
+                )
+                properties.update(prop)
+        else:
+            properties.update(add_element(name_main, description_main, alias_main, name_main))
+
+    if len(properties) >= max_length:
+        for k, v in properties.items():
+            # change description to the short one in case of a big framework
+            properties[k]["description"] = properties[k]["plain_description"]
+
+    return properties, id_to_info
+
+
+def combine_properties(properties_row: dict, properties_columns: dict, max_length: int = 50, reduce_on_length: bool = True):
+    
+    schema = {}
+    for i, col in properties_columns.items():
+        for j, row in properties_row.items():
+
+            name = _sanitize_keys_with_uniqueness(f"{i}_{j}")
+            alias = f"{col['alias']}->{row['alias']}"
+            description = MULTI_DESCRIPTION.format(col['description'], row['description'])
+            plain_description = MULTI_DESCRIPTION.format(col['plain_description'], row['plain_description'])
+
+            schema.update({
+                name: {
+                    "alias": alias,
+                    "type": "boolean",
+                    "default": False,
+                    "description": description,
+                    "plain_description": plain_description
+                }
+            })
+                            
+            if len(schema) >= max_length and reduce_on_length:
+                # if the schema is big let's not consider the full description (if present)
+                # instead this will cause a big slow down of the classification process
+                # and conrresponding losing of context by the llm
+                for k, v in schema.items():
+                    schema[k]["description"] = schema[k]["plain_description"]
+    return schema
diff --git a/nlp_scripts/model_prediction/utils.py b/nlp_scripts/model_prediction/utils.py
index e5790ce..d404064 100644
--- a/nlp_scripts/model_prediction/utils.py
+++ b/nlp_scripts/model_prediction/utils.py
@@ -1,5 +1,5 @@
+import re
 from typing import Dict, Union
-
 from .first_level_tags import FirstLevel
 from .second_level_tags import SecondLevel
 from .third_level_tags import ThirdLevel
diff --git a/poetry.lock b/poetry.lock
index 9c40090..217cf57 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,30 +1,184 @@
-# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.4.3"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
+    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.11.8"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.9"
+files = [
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+    {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
+]
+
+[package.dependencies]
+frozenlist = ">=1.1.0"
 
 [[package]]
 name = "amqp"
-version = "5.2.0"
+version = "5.3.1"
 description = "Low-level AMQP client for Python (fork of amqplib)."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "amqp-5.2.0-py3-none-any.whl", hash = "sha256:827cb12fb0baa892aad844fd95258143bce4027fdac4fccddbc43330fd281637"},
-    {file = "amqp-5.2.0.tar.gz", hash = "sha256:a1ecff425ad063ad42a486c902807d1482311481c8ad95a72694b2975e75f7fd"},
+    {file = "amqp-5.3.1-py3-none-any.whl", hash = "sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2"},
+    {file = "amqp-5.3.1.tar.gz", hash = "sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432"},
 ]
 
 [package.dependencies]
 vine = ">=5.0.0,<6.0.0"
 
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
+[[package]]
+name = "anyio"
+version = "4.6.2.post1"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
+    {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
+]
+
+[package.dependencies]
+exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
+idna = ">=2.8"
+sniffio = ">=1.1"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
+
+[package.extras]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
+
 [[package]]
 name = "asgiref"
-version = "3.7.2"
+version = "3.8.1"
 description = "ASGI specs, helper code, and adapters"
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "asgiref-3.7.2-py3-none-any.whl", hash = "sha256:89b2ef2247e3b562a16eef663bc0e2e703ec6468e2fa8a5cd61cd449786d4f6e"},
-    {file = "asgiref-3.7.2.tar.gz", hash = "sha256:9e0ce3aa93a819ba5b45120216b23878cf6e8525eb3848653452b4192b92afed"},
+    {file = "asgiref-3.8.1-py3-none-any.whl", hash = "sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47"},
+    {file = "asgiref-3.8.1.tar.gz", hash = "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"},
 ]
 
 [package.dependencies]
@@ -37,7 +191,6 @@ tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
 name = "asttokens"
 version = "2.4.1"
 description = "Annotate AST trees with source code positions"
-category = "dev"
 optional = false
 python-versions = "*"
 files = [
@@ -56,7 +209,6 @@ test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
 name = "async-timeout"
 version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -64,68 +216,83 @@ files = [
     {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
 ]
 
+[[package]]
+name = "attrs"
+version = "24.2.0"
+description = "Classes Without Boilerplate"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
+    {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
+]
+
+[package.extras]
+benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
+
 [[package]]
 name = "billiard"
-version = "4.2.0"
+version = "4.2.1"
 description = "Python multiprocessing fork with improvements and bugfixes"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "billiard-4.2.0-py3-none-any.whl", hash = "sha256:07aa978b308f334ff8282bd4a746e681b3513db5c9a514cbdd810cbbdc19714d"},
-    {file = "billiard-4.2.0.tar.gz", hash = "sha256:9a3c3184cb275aa17a732f93f65b20c525d3d9f253722d26a82194803ade5a2c"},
+    {file = "billiard-4.2.1-py3-none-any.whl", hash = "sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb"},
+    {file = "billiard-4.2.1.tar.gz", hash = "sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f"},
 ]
 
 [[package]]
 name = "boto3"
-version = "1.33.10"
+version = "1.35.71"
 description = "The AWS SDK for Python"
-category = "main"
 optional = false
-python-versions = ">= 3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.33.10-py3-none-any.whl", hash = "sha256:8011445d95499ca9622d8d368ce469d51bc9e82a23b6edd6498f9ae57d69ce9e"},
-    {file = "boto3-1.33.10.tar.gz", hash = "sha256:407b26197aced386e7ce2327ca9199b506dcf248220cfb8fc89d06497dd4522b"},
+    {file = "boto3-1.35.71-py3-none-any.whl", hash = "sha256:e2969a246bb3208122b3c349c49cc6604c6fc3fc2b2f65d99d3e8ccd745b0c16"},
+    {file = "boto3-1.35.71.tar.gz", hash = "sha256:3ed7172b3d4fceb6218bb0ec3668c4d40c03690939c2fca4f22bb875d741a07f"},
 ]
 
 [package.dependencies]
-botocore = ">=1.33.10,<1.34.0"
+botocore = ">=1.35.71,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
-s3transfer = ">=0.8.2,<0.9.0"
+s3transfer = ">=0.10.0,<0.11.0"
 
 [package.extras]
 crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.33.10"
+version = "1.35.71"
 description = "Low-level, data-driven core of boto 3."
-category = "main"
 optional = false
-python-versions = ">= 3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.33.10-py3-none-any.whl", hash = "sha256:9619609692a7f99f33093a305a0fb88ca5c83104f97ead3a4405b1e4ba6058f9"},
-    {file = "botocore-1.33.10.tar.gz", hash = "sha256:82be3da9ceac9d847d115a80f0a0dae020c3534ef88839ef907eb3205309fd4a"},
+    {file = "botocore-1.35.71-py3-none-any.whl", hash = "sha256:fc46e7ab1df3cef66dfba1633f4da77c75e07365b36f03bd64a3793634be8fc1"},
+    {file = "botocore-1.35.71.tar.gz", hash = "sha256:f9fa058e0393660c3fe53c1e044751beb64b586def0bd2212448a7c328b0cbba"},
 ]
 
 [package.dependencies]
 jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
-urllib3 = {version = ">=1.25.4,<2.1", markers = "python_version >= \"3.10\""}
+urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.19.17)"]
+crt = ["awscrt (==0.22.0)"]
 
 [[package]]
 name = "celery"
-version = "5.3.6"
+version = "5.4.0"
 description = "Distributed Task Queue."
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "celery-5.3.6-py3-none-any.whl", hash = "sha256:9da4ea0118d232ce97dff5ed4974587fb1c0ff5c10042eb15278487cdd27d1af"},
-    {file = "celery-5.3.6.tar.gz", hash = "sha256:870cc71d737c0200c397290d730344cc991d13a057534353d124c9380267aab9"},
+    {file = "celery-5.4.0-py3-none-any.whl", hash = "sha256:369631eb580cf8c51a82721ec538684994f8277637edde2dfc0dacd73ed97f64"},
+    {file = "celery-5.4.0.tar.gz", hash = "sha256:504a19140e8d3029d5acad88330c541d4c3f64c789d85f94756762d8bca7e706"},
 ]
 
 [package.dependencies]
@@ -141,7 +308,7 @@ vine = ">=5.1.0,<6.0"
 
 [package.extras]
 arangodb = ["pyArango (>=2.0.2)"]
-auth = ["cryptography (==41.0.5)"]
+auth = ["cryptography (==42.0.5)"]
 azureblockblob = ["azure-storage-blob (>=12.15.0)"]
 brotli = ["brotli (>=1.0.0)", "brotlipy (>=0.7.0)"]
 cassandra = ["cassandra-driver (>=3.25.0,<4)"]
@@ -151,22 +318,23 @@ couchbase = ["couchbase (>=3.0.0)"]
 couchdb = ["pycouchdb (==1.14.2)"]
 django = ["Django (>=2.2.28)"]
 dynamodb = ["boto3 (>=1.26.143)"]
-elasticsearch = ["elastic-transport (<=8.10.0)", "elasticsearch (<=8.11.0)"]
+elasticsearch = ["elastic-transport (<=8.13.0)", "elasticsearch (<=8.13.0)"]
 eventlet = ["eventlet (>=0.32.0)"]
+gcs = ["google-cloud-storage (>=2.10.0)"]
 gevent = ["gevent (>=1.5.0)"]
 librabbitmq = ["librabbitmq (>=2.0.0)"]
 memcache = ["pylibmc (==1.6.3)"]
 mongodb = ["pymongo[srv] (>=4.0.2)"]
-msgpack = ["msgpack (==1.0.7)"]
-pymemcache = ["python-memcached (==1.59)"]
+msgpack = ["msgpack (==1.0.8)"]
+pymemcache = ["python-memcached (>=1.61)"]
 pyro = ["pyro4 (==4.82)"]
-pytest = ["pytest-celery (==0.0.0)"]
+pytest = ["pytest-celery[all] (>=1.0.0)"]
 redis = ["redis (>=4.5.2,!=4.5.5,<6.0.0)"]
 s3 = ["boto3 (>=1.26.143)"]
 slmq = ["softlayer-messaging (>=1.0.3)"]
 solar = ["ephem (==4.1.5)"]
 sqlalchemy = ["sqlalchemy (>=1.4.48,<2.1)"]
-sqs = ["boto3 (>=1.26.143)", "kombu[sqs] (>=5.3.0)", "pycurl (>=7.43.0.5)", "urllib3 (>=1.26.16)"]
+sqs = ["boto3 (>=1.26.143)", "kombu[sqs] (>=5.3.4)", "pycurl (>=7.43.0.5)", "urllib3 (>=1.26.16)"]
 tblib = ["tblib (>=1.3.0)", "tblib (>=1.5.0)"]
 yaml = ["PyYAML (>=3.10)"]
 zookeeper = ["kazoo (>=1.3.1)"]
@@ -174,121 +342,133 @@ zstd = ["zstandard (==0.22.0)"]
 
 [[package]]
 name = "certifi"
-version = "2023.11.17"
+version = "2024.8.30"
 description = "Python package for providing Mozilla's CA Bundle."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
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+    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
+    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
 ]
 
 [[package]]
 name = "charset-normalizer"
-version = "3.3.2"
+version = "3.4.0"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
-category = "main"
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 ]
 
 [[package]]
 name = "click"
 version = "8.1.7"
 description = "Composable command line interface toolkit"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -301,14 +481,13 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "click-didyoumean"
-version = "0.3.0"
+version = "0.3.1"
 description = "Enables git-like *did-you-mean* feature in click"
-category = "main"
 optional = false
-python-versions = ">=3.6.2,<4.0.0"
+python-versions = ">=3.6.2"
 files = [
-    {file = "click-didyoumean-0.3.0.tar.gz", hash = "sha256:f184f0d851d96b6d29297354ed981b7dd71df7ff500d82fa6d11f0856bee8035"},
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+    {file = "click_didyoumean-0.3.1-py3-none-any.whl", hash = "sha256:5c4bb6007cfea5f2fd6583a2fb6701a22a41eb98957e63d0fac41c10e7c3117c"},
+    {file = "click_didyoumean-0.3.1.tar.gz", hash = "sha256:4f82fdff0dbe64ef8ab2279bd6aa3f6a99c3b28c05aa09cbfc07c9d7fbb5a463"},
 ]
 
 [package.dependencies]
@@ -318,7 +497,6 @@ click = ">=7"
 name = "click-plugins"
 version = "1.1.1"
 description = "An extension module for click to enable registering CLI commands via setuptools entry-points."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -336,7 +514,6 @@ dev = ["coveralls", "pytest (>=3.6)", "pytest-cov", "wheel"]
 name = "click-repl"
 version = "0.3.0"
 description = "REPL plugin for Click"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -355,7 +532,6 @@ testing = ["pytest (>=7.2.1)", "pytest-cov (>=4.0.0)", "tox (>=4.4.3)"]
 name = "colorama"
 version = "0.4.6"
 description = "Cross-platform colored terminal text."
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
@@ -367,7 +543,6 @@ files = [
 name = "coverage"
 version = "6.5.0"
 description = "Code coverage measurement for Python"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -429,16 +604,30 @@ tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.1
 [package.extras]
 toml = ["tomli"]
 
+[[package]]
+name = "dataclasses-json"
+version = "0.6.7"
+description = "Easily serialize dataclasses to and from JSON."
+optional = false
+python-versions = "<4.0,>=3.7"
+files = [
+    {file = "dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a"},
+    {file = "dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0"},
+]
+
+[package.dependencies]
+marshmallow = ">=3.18.0,<4.0.0"
+typing-inspect = ">=0.4.0,<1"
+
 [[package]]
 name = "datasketch"
-version = "1.6.4"
+version = "1.6.5"
 description = "Probabilistic data structures for processing and searching very large datasets"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
-    {file = "datasketch-1.6.4-py3-none-any.whl", hash = "sha256:0982712115139348c21217b8ca83b8d3b342f2556f2686eeda2972604cc68532"},
-    {file = "datasketch-1.6.4.tar.gz", hash = "sha256:fe5a3545885c4c84eeb49d53a8bd82414c9c26948f7b0271cfe51cf16944c81a"},
+    {file = "datasketch-1.6.5-py3-none-any.whl", hash = "sha256:59311b2925b2f37536e9f7c2f46bbc25e8e54379c8635a3fa7ca55d2abb66d1b"},
+    {file = "datasketch-1.6.5.tar.gz", hash = "sha256:ba2848cb74f23d6d3dd444cf24edcbc47b1c34a171b1803231793ed4d74d4fcf"},
 ]
 
 [package.dependencies]
@@ -456,7 +645,6 @@ test = ["cassandra-driver (>=3.20)", "coverage", "mock (>=2.0.0)", "mockredispy"
 name = "decorator"
 version = "5.1.1"
 description = "Decorators for Humans"
-category = "dev"
 optional = false
 python-versions = ">=3.5"
 files = [
@@ -464,16 +652,26 @@ files = [
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
 ]
 
+[[package]]
+name = "distro"
+version = "1.9.0"
+description = "Distro - an OS platform information API"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
+    {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
+]
+
 [[package]]
 name = "django"
-version = "4.2.8"
+version = "4.2.16"
 description = "A high-level Python web framework that encourages rapid development and clean, pragmatic design."
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "Django-4.2.8-py3-none-any.whl", hash = "sha256:6cb5dcea9e3d12c47834d32156b8841f533a4493c688e2718cafd51aa430ba6d"},
-    {file = "Django-4.2.8.tar.gz", hash = "sha256:d69d5e36cc5d9f4eb4872be36c622878afcdce94062716cf3e25bcedcb168b62"},
+    {file = "Django-4.2.16-py3-none-any.whl", hash = "sha256:1ddc333a16fc139fd253035a1606bb24261951bbc3a6ca256717fa06cc41a898"},
+    {file = "Django-4.2.16.tar.gz", hash = "sha256:6f1616c2786c408ce86ab7e10f792b8f15742f7b7b7460243929cb371e7f1dad"},
 ]
 
 [package.dependencies]
@@ -489,7 +687,6 @@ bcrypt = ["bcrypt"]
 name = "django-environ"
 version = "0.9.0"
 description = "A package that allows you to utilize 12factor inspired environment variables to configure your Django application."
-category = "main"
 optional = false
 python-versions = ">=3.4,<4"
 files = [
@@ -498,20 +695,19 @@ files = [
 ]
 
 [package.extras]
-develop = ["coverage[toml] (>=5.0a4)", "furo (>=2021.8.17b43,<2021.9.0)", "pytest (>=4.6.11)", "sphinx (>=3.5.0)", "sphinx-notfound-page"]
-docs = ["furo (>=2021.8.17b43,<2021.9.0)", "sphinx (>=3.5.0)", "sphinx-notfound-page"]
+develop = ["coverage[toml] (>=5.0a4)", "furo (>=2021.8.17b43,<2021.9.dev0)", "pytest (>=4.6.11)", "sphinx (>=3.5.0)", "sphinx-notfound-page"]
+docs = ["furo (>=2021.8.17b43,<2021.9.dev0)", "sphinx (>=3.5.0)", "sphinx-notfound-page"]
 testing = ["coverage[toml] (>=5.0a4)", "pytest (>=4.6.11)"]
 
 [[package]]
 name = "django-storages"
-version = "1.14.2"
+version = "1.14.4"
 description = "Support for many storage backends in Django"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "django-storages-1.14.2.tar.gz", hash = "sha256:51b36af28cc5813b98d5f3dfe7459af638d84428c8df4a03990c7d74d1bea4e5"},
-    {file = "django_storages-1.14.2-py3-none-any.whl", hash = "sha256:1db759346b52ada6c2efd9f23d8241ecf518813eb31db9e2589207174f58f6ad"},
+    {file = "django-storages-1.14.4.tar.gz", hash = "sha256:69aca94d26e6714d14ad63f33d13619e697508ee33ede184e462ed766dc2a73f"},
+    {file = "django_storages-1.14.4-py3-none-any.whl", hash = "sha256:d61930acb4a25e3aebebc6addaf946a3b1df31c803a6bf1af2f31c9047febaa3"},
 ]
 
 [package.dependencies]
@@ -530,7 +726,6 @@ sftp = ["paramiko (>=1.15)"]
 name = "django-stubs"
 version = "1.16.0"
 description = "Mypy stubs for Django"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -552,14 +747,13 @@ compatible-mypy = ["mypy (>=1.1.1,<1.2)"]
 
 [[package]]
 name = "django-stubs-ext"
-version = "4.2.7"
+version = "5.1.1"
 description = "Monkey-patching and extensions for django-stubs"
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "django-stubs-ext-4.2.7.tar.gz", hash = "sha256:519342ac0849cda1559746c9a563f03ff99f636b0ebe7c14b75e816a00dfddc3"},
-    {file = "django_stubs_ext-4.2.7-py3-none-any.whl", hash = "sha256:45a5d102417a412e3606e3c358adb4744988a92b7b58ccf3fd64bddd5d04d14c"},
+    {file = "django_stubs_ext-5.1.1-py3-none-any.whl", hash = "sha256:3907f99e178c93323e2ce908aef8352adb8c047605161f8d9e5e7b4efb5a6a9c"},
+    {file = "django_stubs_ext-5.1.1.tar.gz", hash = "sha256:db7364e4f50ae7e5360993dbd58a3a57ea4b2e7e5bab0fbd525ccdb3e7975d1c"},
 ]
 
 [package.dependencies]
@@ -568,30 +762,27 @@ typing-extensions = "*"
 
 [[package]]
 name = "djangorestframework"
-version = "3.14.0"
+version = "3.15.2"
 description = "Web APIs for Django, made easy."
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
-    {file = "djangorestframework-3.14.0-py3-none-any.whl", hash = "sha256:eb63f58c9f218e1a7d064d17a70751f528ed4e1d35547fdade9aaf4cd103fd08"},
-    {file = "djangorestframework-3.14.0.tar.gz", hash = "sha256:579a333e6256b09489cbe0a067e66abe55c6595d8926be6b99423786334350c8"},
+    {file = "djangorestframework-3.15.2-py3-none-any.whl", hash = "sha256:2b8871b062ba1aefc2de01f773875441a961fefbf79f5eed1e32b2f096944b20"},
+    {file = "djangorestframework-3.15.2.tar.gz", hash = "sha256:36fe88cd2d6c6bec23dca9804bab2ba5517a8bb9d8f47ebc68981b56840107ad"},
 ]
 
 [package.dependencies]
-django = ">=3.0"
-pytz = "*"
+django = ">=4.2"
 
 [[package]]
 name = "evidently"
-version = "0.2.8"
+version = "0.2.6"
 description = "Open-source tools to analyze, monitor, and debug machine learning model in production."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "evidently-0.2.8-py3-none-any.whl", hash = "sha256:bfff556151f3893e91da71fa82478b93a5f96cf9d313c80874e3af05e86fe32c"},
-    {file = "evidently-0.2.8.tar.gz", hash = "sha256:900c7d2bf2c2261a38b3ca2f2784fcdba7f5d0cf74b74718df3b85a59c02ca0d"},
+    {file = "evidently-0.2.6-py3-none-any.whl", hash = "sha256:6b928518a4e78b92ea852a9b2dc4c2befbf078eb99d11d0e63d106b64ca27e34"},
+    {file = "evidently-0.2.6.tar.gz", hash = "sha256:ce8a4ada6a1640e8ed179ed64f59bc3d7fad32638f652cac059e1b658fbfce8f"},
 ]
 
 [package.dependencies]
@@ -599,8 +790,7 @@ nltk = ">=3.6.7"
 numpy = ">=1.19.5"
 pandas = ">=1.3.5"
 plotly = ">=5.5.0"
-pydantic = "<2"
-PyYAML = ">=5.1"
+PyYAML = ">=5.1,<6.0"
 requests = ">=2.19.0"
 scikit-learn = ">=0.24.0"
 scipy = ">=1.5.4"
@@ -611,14 +801,13 @@ dev = ["black (==22.8.0)", "flake8 (==4.0.1)", "isort (==5.10.1)", "jupyter (==1
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.0"
+version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
-    {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
+    {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
+    {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
 ]
 
 [package.extras]
@@ -626,14 +815,13 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "executing"
-version = "2.0.1"
+version = "2.1.0"
 description = "Get the currently executing AST node of a frame, and other information"
-category = "dev"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
 files = [
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+    {file = "executing-2.1.0-py2.py3-none-any.whl", hash = "sha256:8d63781349375b5ebccc3142f4b30350c0cd9c79f921cde38be2be4637e98eaf"},
+    {file = "executing-2.1.0.tar.gz", hash = "sha256:8ea27ddd260da8150fa5a708269c4a10e76161e2496ec3e587da9e3c0fe4b9ab"},
 ]
 
 [package.extras]
@@ -643,7 +831,6 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
 name = "flake8"
 version = "5.0.4"
 description = "the modular source code checker: pep8 pyflakes and co"
-category = "dev"
 optional = false
 python-versions = ">=3.6.1"
 files = [
@@ -656,11 +843,197 @@ mccabe = ">=0.7.0,<0.8.0"
 pycodestyle = ">=2.9.0,<2.10.0"
 pyflakes = ">=2.5.0,<2.6.0"
 
+[[package]]
+name = "frozenlist"
+version = "1.5.0"
+description = "A list-like structure which implements collections.abc.MutableSequence"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.extras]
+docs = ["Sphinx", "furo"]
+test = ["objgraph", "psutil"]
+
 [[package]]
 name = "gunicorn"
 version = "20.1.0"
 description = "WSGI HTTP Server for UNIX"
-category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
@@ -677,23 +1050,92 @@ gevent = ["gevent (>=1.4.0)"]
 setproctitle = ["setproctitle"]
 tornado = ["tornado (>=0.2)"]
 
+[[package]]
+name = "h11"
+version = "0.14.0"
+description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[[package]]
+name = "httpcore"
+version = "1.0.7"
+description = "A minimal low-level HTTP client."
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.dependencies]
+certifi = "*"
+h11 = ">=0.13,<0.15"
+
+[package.extras]
+asyncio = ["anyio (>=4.0,<5.0)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.22.0,<1.0)"]
+
+[[package]]
+name = "httpx"
+version = "0.27.2"
+description = "The next generation HTTP client."
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.dependencies]
+anyio = "*"
+certifi = "*"
+httpcore = "==1.*"
+idna = "*"
+sniffio = "*"
+
+[package.extras]
+brotli = ["brotli", "brotlicffi"]
+cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
+
+[[package]]
+name = "httpx-sse"
+version = "0.4.0"
+description = "Consume Server-Sent Event (SSE) messages with HTTPX."
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
 [[package]]
 name = "idna"
-version = "3.6"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
-category = "main"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 files = [
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-    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
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+    {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
 ]
 
+[package.extras]
+all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -703,14 +1145,13 @@ files = [
 
 [[package]]
 name = "ipython"
-version = "8.18.1"
+version = "8.29.0"
 description = "IPython: Productive Interactive Computing"
-category = "dev"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 files = [
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+    {file = "ipython-8.29.0.tar.gz", hash = "sha256:40b60e15b22591450eef73e40a027cf77bd652e757523eebc5bd7c7c498290eb"},
 ]
 
 [package.dependencies]
@@ -719,50 +1160,134 @@ decorator = "*"
 exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
 jedi = ">=0.16"
 matplotlib-inline = "*"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
+pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
 prompt-toolkit = ">=3.0.41,<3.1.0"
 pygments = ">=2.4.0"
 stack-data = "*"
-traitlets = ">=5"
+traitlets = ">=5.13.0"
+typing-extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
 
 [package.extras]
-all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
+all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
 black = ["black"]
-doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
+doc = ["docrepr", "exceptiongroup", "intersphinx-registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli", "typing-extensions"]
 kernel = ["ipykernel"]
+matplotlib = ["matplotlib"]
 nbconvert = ["nbconvert"]
 nbformat = ["nbformat"]
 notebook = ["ipywidgets", "notebook"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
-test = ["pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath"]
-test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath", "trio"]
+test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
+test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
 
 [[package]]
 name = "jedi"
-version = "0.19.1"
+version = "0.19.2"
 description = "An autocompletion tool for Python that can be used for text editors."
-category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
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+    {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"},
 ]
 
 [package.dependencies]
-parso = ">=0.8.3,<0.9.0"
+parso = ">=0.8.4,<0.9.0"
 
 [package.extras]
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 qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
-testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"]
+
+[[package]]
+name = "jiter"
+version = "0.8.0"
+description = "Fast iterable JSON parser."
+optional = false
+python-versions = ">=3.8"
+files = [
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 name = "jmespath"
 version = "1.0.1"
 description = "JSON Matching Expressions"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -772,59 +1297,253 @@ files = [
 
 [[package]]
 name = "joblib"
-version = "1.3.2"
+version = "1.4.2"
 description = "Lightweight pipelining with Python functions"
-category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[[package]]
+name = "jsonpatch"
+version = "1.33"
+description = "Apply JSON-Patches (RFC 6902)"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+files = [
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+
+[package.dependencies]
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+
+[[package]]
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+version = "3.0.0"
+description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
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 name = "kombu"
-version = "5.3.4"
+version = "5.4.2"
 description = "Messaging library for Python."
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 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
 amqp = ">=5.1.1,<6.0.0"
-vine = "*"
+tzdata = {version = "*", markers = "python_version >= \"3.9\""}
+vine = "5.1.0"
 
 [package.extras]
 azureservicebus = ["azure-servicebus (>=7.10.0)"]
 azurestoragequeues = ["azure-identity (>=1.12.0)", "azure-storage-queue (>=12.6.0)"]
 confluentkafka = ["confluent-kafka (>=2.2.0)"]
-consul = ["python-consul2"]
+consul = ["python-consul2 (==0.1.5)"]
 librabbitmq = ["librabbitmq (>=2.0.0)"]
 mongodb = ["pymongo (>=4.1.1)"]
-msgpack = ["msgpack"]
-pyro = ["pyro4"]
+msgpack = ["msgpack (==1.1.0)"]
+pyro = ["pyro4 (==4.82)"]
 qpid = ["qpid-python (>=0.26)", "qpid-tools (>=0.26)"]
-redis = ["redis (>=4.5.2,!=4.5.5,<6.0.0)"]
+redis = ["redis (>=4.5.2,!=4.5.5,!=5.0.2)"]
 slmq = ["softlayer-messaging (>=1.0.3)"]
 sqlalchemy = ["sqlalchemy (>=1.4.48,<2.1)"]
 sqs = ["boto3 (>=1.26.143)", "pycurl (>=7.43.0.5)", "urllib3 (>=1.26.16)"]
 yaml = ["PyYAML (>=3.10)"]
 zookeeper = ["kazoo (>=2.8.0)"]
 
+[[package]]
+name = "langchain"
+version = "0.3.9"
+description = "Building applications with LLMs through composability"
+optional = false
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 description = "Powerful data structures for data analysis, time series, and statistics"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -1028,8 +2025,8 @@ files = [
 
 [package.dependencies]
 numpy = [
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     {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
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 python-dateutil = ">=2.8.1"
 pytz = ">=2020.1"
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 [package.extras]
-qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["docopt", "pytest (<6.0.0)"]
+qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+testing = ["docopt", "pytest"]
 
 [[package]]
 name = "patsy"
-version = "0.5.4"
+version = "1.0.1"
 description = "A Python package for describing statistical models and for building design matrices."
-category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
 numpy = ">=1.4"
-six = "*"
 
 [package.extras]
 test = ["pytest", "pytest-cov", "scipy"]
@@ -1076,7 +2070,6 @@ test = ["pytest", "pytest-cov", "scipy"]
 name = "pexpect"
 version = "4.9.0"
 description = "Pexpect allows easy control of interactive console applications."
-category = "dev"
 optional = false
 python-versions = "*"
 files = [
@@ -1089,14 +2082,13 @@ ptyprocess = ">=0.5"
 
 [[package]]
 name = "plotly"
-version = "5.18.0"
+version = "5.24.1"
 description = "An open-source, interactive data visualization library for Python"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1105,14 +2097,13 @@ tenacity = ">=6.2.0"
 
 [[package]]
 name = "pluggy"
-version = "1.3.0"
+version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1121,103 +2112,205 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.41"
+version = "3.0.48"
 description = "Library for building powerful interactive command lines in Python"
-category = "main"
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 ]
 
 [package.dependencies]
 wcwidth = "*"
 
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 python-versions = "*"
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 version = "2.9.1"
 description = "Python style guide checker"
-category = "dev"
 optional = false
 python-versions = ">=3.6"
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 python-versions = ">=3.6"
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@@ -1318,30 +2508,27 @@ files = [
 
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 [package.extras]
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@@ -1359,7 +2546,6 @@ testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "no
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@@ -1376,14 +2562,13 @@ testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtuale
 
 [[package]]
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@@ -1393,88 +2578,111 @@ pytest = ">=7.0.0"
 docs = ["sphinx", "sphinx-rtd-theme"]
 testing = ["Django", "django-configurations (>=2.0)"]
 
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@@ -1491,112 +2699,116 @@ ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==20.0.1)", "requests (>=2.26.0)"
 
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 [[package]]
 name = "requests"
-version = "2.31.0"
+version = "2.32.3"
 description = "Python HTTP for Humans."
-category = "main"
 optional = false
-python-versions = ">=3.7"
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 [package.dependencies]
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 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
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+]
+
+[package.dependencies]
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+
+[[package]]
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+description = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order"
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+
+[package.dependencies]
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+
+[package.extras]
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+jinja2 = ["ruamel.yaml.jinja2 (>=0.2)"]
+
+[[package]]
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 description = "An Amazon S3 Transfer Manager"
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+threadpoolctl = ">=3.1.0"
 
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 [[package]]
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 [package.dependencies]
@@ -1741,6 +3042,7 @@ asyncpg = ["asyncpg (>=0.23)"]
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 bottle = ["bottle (>=0.12.13)"]
 celery = ["celery (>=3)"]
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 chalice = ["chalice (>=1.16.0)"]
 clickhouse-driver = ["clickhouse-driver (>=0.2.0)"]
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@@ -1751,6 +3053,7 @@ grpcio = ["grpcio (>=1.21.1)"]
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 huey = ["huey (>=2)"]
 loguru = ["loguru (>=0.5)"]
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 pure-eval = ["asttokens", "executing", "pure-eval"]
@@ -1766,26 +3069,28 @@ tornado = ["tornado (>=5)"]
 
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 [package.extras]
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 doc = ["sphinx"]
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 version = "0.6.3"
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@@ -1832,189 +3232,289 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
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+discord = ["requests"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
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 python-versions = ">=3.8"
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+[package.dependencies]
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+typing-extensions = ">=3.7.4"
+
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-secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"]
+h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
@@ -2022,7 +3522,6 @@ zstd = ["zstandard (>=0.18.0)"]
 name = "vine"
 version = "5.1.0"
 description = "Python promises."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -2032,17 +3531,112 @@ files = [
 
 [[package]]
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 python-versions = "*"
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+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+propcache = ">=0.2.0"
+
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10.6"
-content-hash = "148a7b9bf088ed3deb32bfccaad5516a9980c13fadcd5a0cea4519af9ad8d166"
+content-hash = "482963f52531513e023b8acd4f1da44b684127c5ecc1bf41a4cc46436ca2ffc7"
diff --git a/pyproject.toml b/pyproject.toml
index 1d3d043..7081b1e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -28,6 +28,13 @@ tqdm = "^4.64.1"
 scikit-learn = "^1.1.3"
 sentry-sdk = "^1.19.1"
 django-storages = "^1.13.2"
+pydantic = "^2.9.2"
+langchain-community = "^0.3.3"
+langchain-core = "^0.3.19"
+langchain-openai = "^0.2.3"
+langchain-aws = "^0.2.7"
+pyyaml = "5.3.1"
+python-box = { version = "^7.2.0", extras = ["all"] }
 
 
 [tool.poetry.dev-dependencies]