diff --git a/.idea/runConfigurations/BotAdmin.xml b/.idea/runConfigurations/BotAdmin.xml
index ae2753d4ca..bad8861fa8 100644
--- a/.idea/runConfigurations/BotAdmin.xml
+++ b/.idea/runConfigurations/BotAdmin.xml
@@ -4,6 +4,7 @@
       <env name="botadminverticle_body_limit" value="-1" />
       <env name="botadminverticle_port" value="7999" />
       <env name="tock_bot_global_message" value="Dev platform" />
+      <env name="tock_mongo_url" value="mongodb://mongo:27017,mongo2:27018,mongo3:27019/?replicaSet=tock" />
     </envs>
     <option name="MAIN_CLASS_NAME" value="ai.tock.bot.admin.StartBotAdminServerKt" />
     <module name="tock-bot-admin-server" />
diff --git a/.idea/runConfigurations/BotApi.xml b/.idea/runConfigurations/BotApi.xml
index ae2daa8aeb..a0c198a393 100644
--- a/.idea/runConfigurations/BotApi.xml
+++ b/.idea/runConfigurations/BotApi.xml
@@ -6,6 +6,7 @@
       <env name="tock_web_sse" value="true" />
       <env name="tock_websocket_enabled" value="true" />
       <env name="tock_web_enable_markdown" value="true" />
+      <env name="tock_mongo_url" value="mongodb://mongo:27017,mongo2:27018,mongo3:27019/?replicaSet=tock" />
     </envs>
     <option name="MAIN_CLASS_NAME" value="ai.tock.bot.api.service.StartBotApiKt" />
     <module name="tock-bot-api-service" />
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 273e2c9781..4132ee4a3d 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -45,5 +45,5 @@ repos:
       - id: pip-audit
         additional_dependencies:
           - "pip>=25.3"
-          - "filelock>=3.20.1"
+          - "filelock==3.20.3"
           - "urllib3>=2.6.3"
diff --git a/bot/admin/server/src/main/kotlin/model/genai/model/genai/SentenceParsingRequest.kt b/bot/admin/server/src/main/kotlin/model/genai/model/genai/SentenceParsingRequest.kt
new file mode 100644
index 0000000000..1eb50451fd
--- /dev/null
+++ b/bot/admin/server/src/main/kotlin/model/genai/model/genai/SentenceParsingRequest.kt
@@ -0,0 +1,21 @@
+/*
+ * Copyright (C) 2017/2025 SNCF Connect & Tech
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package ai.tock.bot.admin.model.genai.model.genai
+
+data class SentenceParsingRequest(
+    val sentence: String,
+)
diff --git a/bot/admin/server/src/main/kotlin/service/CompletionService.kt b/bot/admin/server/src/main/kotlin/service/CompletionService.kt
index 290193501e..dea344a3ac 100644
--- a/bot/admin/server/src/main/kotlin/service/CompletionService.kt
+++ b/bot/admin/server/src/main/kotlin/service/CompletionService.kt
@@ -19,19 +19,30 @@ package ai.tock.bot.admin.service
 import ai.tock.bot.admin.bot.sentencegeneration.BotSentenceGenerationConfigurationDAO
 import ai.tock.bot.admin.model.genai.PlaygroundRequest
 import ai.tock.bot.admin.model.genai.SentenceGenerationRequest
+import ai.tock.bot.admin.model.genai.model.genai.SentenceParsingRequest
 import ai.tock.genai.orchestratorclient.requests.CompletionRequest
+import ai.tock.genai.orchestratorclient.requests.Formatter
+import ai.tock.genai.orchestratorclient.requests.PromptTemplate
 import ai.tock.genai.orchestratorclient.responses.CompletionResponse
 import ai.tock.genai.orchestratorclient.responses.SentenceCompletionResponse
+import ai.tock.genai.orchestratorclient.responses.SentenceParsingResponse
 import ai.tock.genai.orchestratorclient.services.CompletionService
 import ai.tock.genai.orchestratorcore.mappers.LLMSettingMapper
+import ai.tock.nlp.front.shared.ApplicationConfiguration
+import ai.tock.nlp.front.shared.config.ApplicationDefinition
+import ai.tock.nlp.front.shared.config.ClassifiedSentenceStatus
+import ai.tock.nlp.front.shared.config.SentencesQuery
+import ai.tock.nlp.front.shared.config.ValidatedSentence
 import ai.tock.shared.injector
 import ai.tock.shared.provide
 import ai.tock.shared.vertx.WebVerticle
 import mu.KLogger
 import mu.KotlinLogging
+import org.litote.kmongo.Id
 
 object CompletionService {
     private val logger: KLogger = KotlinLogging.logger {}
+    private val appConfiguration: ApplicationConfiguration get() = injector.provide()
     private val completionService: CompletionService get() = injector.provide()
     private val sentenceGenerationConfigurationDAO: BotSentenceGenerationConfigurationDAO get() = injector.provide()
 
@@ -124,4 +135,219 @@ object CompletionService {
                 ),
             )
     }
+
+    /**
+     * Parse sentence
+     * @param request [SentenceGenerationRequest] : the sentence generation request
+     * @param namespace [String] : the namespace
+     * @param botId [String] : the bot id
+     * @return [SentenceCompletionResponse]
+     */
+    fun parseSentence(
+        request: SentenceParsingRequest,
+        namespace: String,
+        botId: String,
+        appId: Id<ApplicationDefinition>,
+    ): SentenceParsingResponse? {
+        // Check if feature is configured
+        // TODO MASS new config sentenceParsingConfig
+        val sentenceGenerationConfig =
+            sentenceGenerationConfigurationDAO.findByNamespaceAndBotId(namespace, botId)
+                ?: WebVerticle.badRequest(
+                    "No configuration of sentence generation feature is defined yet " +
+                        "[namespace: $namespace, botId = $botId]",
+                )
+
+        // Check if feature is enabled
+        if (!sentenceGenerationConfig.enabled) {
+            WebVerticle.badRequest(
+                "The sentence generation feature is disabled " +
+                    "[namespace: $namespace, botId = $botId]",
+            )
+        }
+
+        // Get LLM Setting and override the temperature
+        val llmSetting = sentenceGenerationConfig.llmSetting
+
+        val result =
+            appConfiguration.search(
+                query =
+                    SentencesQuery(
+                        applicationId = appId,
+                        size = 1000,
+                        status = setOf(ClassifiedSentenceStatus.validated, ClassifiedSentenceStatus.model),
+                    ),
+            )
+
+        val intents = appConfiguration.getIntentsByApplicationId(appId)
+
+        val intentById = intents.associateBy { it._id }
+
+        val sentences: List<ValidatedSentence> =
+            result.sentences.mapNotNull { sentence ->
+                val intentName = intentById[sentence.classification.intentId]?.name
+                intentName?.let {
+                    ValidatedSentence(
+                        text = sentence.text,
+                        intent = it,
+                    )
+                }
+            }
+
+        // Get prompt
+        val prompt =
+            PromptTemplate(
+                formatter = Formatter.JINJA2.id,
+                template =
+                    """
+                    ## NLU déterministe
+
+                    Tu es un **moteur NLU déterministe**.
+                    Tu simules le fonctionnement d’un **modèle NLU classique basé sur la similarité sémantique**.
+
+                    ### Objectif
+
+                    Comparer une phrase utilisateur à un ensemble de **phrases validées**, chacune associée à une **intention existante**, et déterminer :
+
+                    * l’intention la plus proche sémantiquement,
+                    * les intentions secondaires possibles si un lien sémantique existe.
+
+                    ### Fonctionnement attendu
+
+                    * Tu compares la phrase utilisateur **uniquement** aux phrases validées fournies.
+                    * Chaque phrase validée est associée à **une intention existante**.
+                    * Tu choisis l’intention **la plus proche sémantiquement**.
+                    * Tu **n’inventes jamais** de nouvelles intentions.
+                    * Tu **n’utilises que** les intentions présentes dans les données fournies.
+                    * Si aucun rapprochement sémantique pertinent n’existe, l’intention principale doit être **"unknown"**.
+
+                    ### Contraintes STRICTES
+
+                    * Ne jamais créer d’intention inexistante.
+                    * Ne jamais reformuler ou enrichir une intention.
+                    * Ne jamais expliquer ton raisonnement.
+                    * La sortie doit être **STRICTEMENT du JSON valide**, sans aucun texte hors JSON.
+
+                    ## Schéma de sortie STRICT (JSON uniquement)
+
+                    ```json
+                    {
+                      "language": "",
+                      "intent": "",
+                      "similarity": "HIGH" | "STRONG" | "MEDIUM" | "LOW" | "AMBIGUOUS",
+                      "score": 0,
+                      "suggestions": [
+                        {
+                          "intent": "",
+                          "similarity": "HIGH" | "STRONG" | "MEDIUM" | "LOW" | "AMBIGUOUS",
+                          "score": 0
+                        }
+                      ]
+                    }
+                    ```
+
+                    ## Définition des champs
+
+                    ### `language`
+
+                    * Détecte automatiquement la langue de la phrase utilisateur.
+
+                    ### `intent`
+
+                    * L’intention **la plus proche sémantiquement** parmi les intentions existantes.
+                    * `"unknown"` si aucun rapprochement pertinent n’est trouvé.
+
+                    ### `suggestions`
+
+                    * Contient les **autres intentions possibles** ayant un lien sémantique réel.
+                    * Maximum **5 éléments**.
+                    * Ne jamais inclure l’intention principale.
+                    * Liste vide si aucune autre intention pertinente n’existe.
+
+                    ## Similarité sémantique (classification)
+
+                    * **HIGH**
+                      Sens quasi équivalent, reformulation directe possible sans perte de sens ni d’intention.
+
+                    * **STRONG**
+                      Intention identique et même objectif utilisateur, avec une **légère nuance**
+                      (angle différent, précision supplémentaire, implicite vs explicite).
+
+                    * **MEDIUM**
+                      Thème commun, mais intention ou portée partiellement différente.
+
+                    * **LOW**
+                      Lien sémantique lointain mais existant.
+
+                    * **AMBIGUOUS**
+                      Sens très proche, mais **plusieurs intentions possibles**, rendant la décision incertaine.
+
+                    ## Score déterministe (OBLIGATOIRE)
+
+                    Le champ `score` est **strictement dérivé** du champ `similarity`.
+
+                    Aucune autre valeur n’est autorisée.
+
+                    | similarity  | score  |
+                    |-------------|--------|
+                    | LOW         | 0.0    |
+                    | AMBIGUOUS   | 0.5    |
+                    | MEDIUM      | 0.6    |
+                    | STRONG      | 0.8    |
+                    | HIGH        | 1.0    |
+
+                    > Le score doit toujours être **mécaniquement recalculable** à partir de `similarity`.
+
+                    ## Règles de décision
+
+                    1. **Correspondance forte unique**
+
+                        * Une phrase validée est très proche sémantiquement.
+                        * → reprendre son intention
+                        * → `similarity = HIGH` ou `STRONG`
+
+                    2. **Correspondances multiples**
+
+                        * Plusieurs intentions sont proches.
+                        * → choisir la plus pertinente comme `intent`
+                        * → placer les autres dans `suggestions` avec leur `similarity` et `score`.
+
+                    3. **Absence de rapprochement pertinent**
+
+                        * Aucun lien sémantique clair.
+                        * → `intent = "unknown"`
+                        * → `suggestions = []`
+                        * → `similarity = LOW`
+                        * → `score = 0.0`
+
+                    ## Données fournies (mémoire NLU)
+
+                    Phrases validées (intention + exemples) :
+                    ```
+                    {{examples}}
+                    ```
+
+                    ## Phrase utilisateur à analyser
+                    ```
+                    {{sentence}}
+                    ```
+
+                    """.trimIndent(),
+                inputs =
+                    mapOf(
+                        "sentence" to request.sentence,
+                        "examples" to sentences,
+                    ),
+            )
+
+        // call the completion service to generate sentences
+        return completionService
+            .parseSentence(
+                CompletionRequest(
+                    llmSetting,
+                    prompt,
+                    ObservabilityService.getObservabilityConfiguration(namespace, botId, enabled = true)?.setting,
+                ),
+            )
+    }
 }
diff --git a/bot/admin/server/src/main/kotlin/service/prompt-1.md b/bot/admin/server/src/main/kotlin/service/prompt-1.md
new file mode 100644
index 0000000000..8a89a60644
--- /dev/null
+++ b/bot/admin/server/src/main/kotlin/service/prompt-1.md
@@ -0,0 +1,105 @@
+
+Tu es un moteur NLU.
+
+Tu simules le fonctionnement d’un modèle NLU classique :
+- Tu compares la phrase utilisateur à un ensemble de phrases déjà validées.
+- Chaque phrase validée est associée à une intention.
+- Tu dois déterminer l’intention la plus proche sémantiquement.
+
+Tu ne dois PAS inventer de nouvelles intentions.
+Tu ne dois utiliser QUE les intentions présentes dans les données fournies.
+Si aucun rapprochement sémantique pertinent n’existe, l’intention doit être "unknown".
+
+---
+
+Schéma de sortie STRICT (JSON uniquement, aucun texte hors JSON) :
+
+{
+"langue": "",
+"intent": "",
+"suggestions": [
+{
+"code": "",
+"label": "",
+"proximité": "fort | moyen | faible"
+}
+]
+}
+
+---
+
+Définitions importantes de l'objet de sortie :
+
+- "langue" : Détecte automatiquement la langue de la phrase utilisateur.
+
+- "intent" :
+    - intention principale la plus proche sémantiquement
+    - ou "unknown" si aucun rapprochement pertinent
+
+- "suggestions" :
+    - contient les autres intentions possibles SI un lien sémantique existe
+    - maximum 5 éléments
+    - ne pas inclure l’intention principale dans les suggestions
+
+- "proximité" :
+    - "ambigu" : sens très proche mais ambigu.
+    - "fort" : sens très proche ou équivalent.
+    - "moyen" : thème proche mais formulation ou intention partiellement différente.
+    - "faible" : lien sémantique lointain mais existant.
+
+---
+
+Règles de décision :
+
+1. Si la phrase utilisateur est très proche sémantiquement d’une phrase validée :
+    - reprendre l’intention associée
+    - proximité = "fort"
+
+2. Si plusieurs intentions sont proches :
+    - choisir la plus pertinente comme "intent" principal
+    - proposer les autres dans "suggestions" avec une proximité adaptée
+
+3. Si aucun rapprochement sémantique clair n’est trouvé :
+    - "intent_code" = "unknown"
+    - "suggestions" = []
+
+---
+
+Phrases validées (mémoire NLU) :
+
+[
+{
+"sentence": "Bonjour",
+"intent": "Greeting"
+},
+{
+"sentence": "Salut, comment ça va ?",
+"intent": "Greeting"
+},
+{
+"sentence": "Comment faire un virement bancaire ?",
+"intent": "Virement"
+},
+{
+"sentence": "Je veux effectuer un virement vers un autre compte",
+"intent": "Virement"
+},
+{
+"sentence": "Comment financer des panneaux solaires ?",
+"intent": "PanneauxSolaires"
+},
+{
+"sentence": "Quelles aides existent pour installer des panneaux solaires ?",
+"intent": "PanneauxSolaires"
+},
+{
+"sentence": "Est-ce qu'il y a des prêts pour l'installation de panneaux photovoltaïques ?",
+"intent": "PanneauxSolaires"
+}
+]
+
+
+---
+
+Phrase utilisateur à analyser :
+Je veux transferer 400 Euro à mon cousin
diff --git a/bot/admin/server/src/main/kotlin/service/prompt-2.md b/bot/admin/server/src/main/kotlin/service/prompt-2.md
new file mode 100644
index 0000000000..26df2e1e34
--- /dev/null
+++ b/bot/admin/server/src/main/kotlin/service/prompt-2.md
@@ -0,0 +1,105 @@
+
+Tu es un moteur NLU.
+
+Tu simules le fonctionnement d’un modèle NLU classique :
+- Tu compares la phrase utilisateur à un ensemble de phrases déjà validées.
+- Chaque phrase validée est associée à une intention.
+- Tu dois déterminer l’intention la plus proche sémantiquement.
+
+Tu ne dois PAS inventer de nouvelles intentions.
+Tu ne dois utiliser QUE les intentions présentes dans les données fournies.
+Si aucun rapprochement sémantique pertinent n’existe, l’intention doit être "unknown".
+
+---
+
+Schéma de sortie STRICT (JSON uniquement, aucun texte hors JSON) :
+
+{
+"langue": "",
+"intent": "",
+"suggestions": [
+{
+"code": "",
+"label": "",
+"proximité": "fort | moyen | faible"
+}
+]
+}
+
+---
+
+Définitions importantes de l'objet de sortie :
+
+- "langue" : Détecte automatiquement la langue de la phrase utilisateur.
+
+- "intent" :
+    - intention principale la plus proche sémantiquement
+    - ou "unknown" si aucun rapprochement pertinent
+
+- "suggestions" :
+    - contient les autres intentions possibles SI un lien sémantique existe
+    - maximum 5 éléments
+    - ne pas inclure l’intention principale dans les suggestions
+
+- "proximité" :
+    - "ambigu" : sens très proche mais ambigu.
+    - "fort" : sens très proche ou équivalent.
+    - "moyen" : thème proche mais formulation ou intention partiellement différente.
+    - "faible" : lien sémantique lointain mais existant.
+
+---
+
+Règles de décision :
+
+1. Si la phrase utilisateur est très proche sémantiquement d’une phrase validée :
+    - reprendre l’intention associée
+    - proximité = "fort"
+
+2. Si plusieurs intentions sont proches :
+    - choisir la plus pertinente comme "intent" principal
+    - proposer les autres dans "suggestions" avec une proximité adaptée
+
+3. Si aucun rapprochement sémantique clair n’est trouvé :
+    - "intent_code" = "unknown"
+    - "suggestions" = []
+
+---
+
+Phrases validées (mémoire NLU) :
+
+[
+{
+"sentence": "Bonjour",
+"intent": "Greeting"
+},
+{
+"sentence": "Salut, comment ça va ?",
+"intent": "Greeting"
+},
+{
+"sentence": "Comment faire un virement bancaire ?",
+"intent": "Virement"
+},
+{
+"sentence": "Je veux effectuer un virement vers un autre compte",
+"intent": "Virement"
+},
+{
+"sentence": "Comment financer des panneaux solaires ?",
+"intent": "PanneauxSolaires"
+},
+{
+"sentence": "Quelles aides existent pour installer des panneaux solaires ?",
+"intent": "PanneauxSolaires"
+},
+{
+"sentence": "Est-ce qu'il y a des prêts pour l'installation de panneaux photovoltaïques ?",
+"intent": "PanneauxSolaires"
+}
+]
+
+
+---
+
+Phrase utilisateur à analyser :
+Je veux transferer 400 Euro à mon cousin pour acheter des panneaux solaires
diff --git a/bot/admin/server/src/main/kotlin/service/prompt-3.md b/bot/admin/server/src/main/kotlin/service/prompt-3.md
new file mode 100644
index 0000000000..92edcd0865
--- /dev/null
+++ b/bot/admin/server/src/main/kotlin/service/prompt-3.md
@@ -0,0 +1,105 @@
+
+Tu es un moteur NLU.
+
+Tu simules le fonctionnement d’un modèle NLU classique :
+- Tu compares la phrase utilisateur à un ensemble de phrases déjà validées.
+- Chaque phrase validée est associée à une intention.
+- Tu dois déterminer l’intention la plus proche sémantiquement.
+
+Tu ne dois PAS inventer de nouvelles intentions.
+Tu ne dois utiliser QUE les intentions présentes dans les données fournies.
+Si aucun rapprochement sémantique pertinent n’existe, l’intention doit être "unknown".
+
+---
+
+Schéma de sortie STRICT (JSON uniquement, aucun texte hors JSON) :
+
+{
+"langue": "",
+"intent": "",
+"suggestions": [
+{
+"code": "",
+"label": "",
+"proximité": "fort | moyen | faible"
+}
+]
+}
+
+---
+
+Définitions importantes de l'objet de sortie :
+
+- "langue" : Détecte automatiquement la langue de la phrase utilisateur.
+
+- "intent" :
+    - intention principale la plus proche sémantiquement
+    - ou "unknown" si aucun rapprochement pertinent
+
+- "suggestions" :
+    - contient les autres intentions possibles SI un lien sémantique existe
+    - maximum 5 éléments
+    - ne pas inclure l’intention principale dans les suggestions
+
+- "proximité" :
+    - "ambigu" : sens très proche mais ambigu.
+    - "fort" : sens très proche ou équivalent.
+    - "moyen" : thème proche mais formulation ou intention partiellement différente.
+    - "faible" : lien sémantique lointain mais existant.
+
+---
+
+Règles de décision :
+
+1. Si la phrase utilisateur est très proche sémantiquement d’une phrase validée :
+    - reprendre l’intention associée
+    - proximité = "fort"
+
+2. Si plusieurs intentions sont proches :
+    - choisir la plus pertinente comme "intent" principal
+    - proposer les autres dans "suggestions" avec une proximité adaptée
+
+3. Si aucun rapprochement sémantique clair n’est trouvé :
+    - "intent_code" = "unknown"
+    - "suggestions" = []
+
+---
+
+Phrases validées (mémoire NLU) :
+
+[
+{
+"sentence": "Je veux parler immédiatement à mon conseiller",
+"intent": "EscaladeDirecte"
+},
+{
+"sentence": "Mettez-moi en contact avec mon conseiller maintenant",
+"intent": "EscaladeDirecte"
+},
+{
+"sentence": "J’ai besoin d’une réponse rapide de mon conseiller",
+"intent": "EscaladeDirecte"
+},
+{
+"sentence": "Pouvez-vous me donner les coordonnées de mon conseiller ?",
+"intent": "InfoConseiller"
+},
+{
+"sentence": "Je veux savoir quand mon conseiller est disponible",
+"intent": "InfoConseiller"
+},
+{
+"sentence": "Comment prendre rendez-vous avec mon conseiller ?",
+"intent": "InfoConseiller"
+},
+{
+"sentence": "Quel est le numéro ou l’email de mon conseiller ?",
+"intent": "InfoConseiller"
+}
+]
+
+
+---
+
+Phrase utilisateur à analyser :
+Je veux parler à mon conseiller
diff --git a/bot/admin/server/src/main/kotlin/service/prompt-4.md b/bot/admin/server/src/main/kotlin/service/prompt-4.md
new file mode 100644
index 0000000000..fceb9ec667
--- /dev/null
+++ b/bot/admin/server/src/main/kotlin/service/prompt-4.md
@@ -0,0 +1,102 @@
+Tu es un moteur NLU.
+
+Tu simules le fonctionnement d’un modèle NLU classique :
+- Tu compares la phrase utilisateur à un ensemble de phrases déjà validées.
+- Chaque phrase validée est associée à une intention.
+- Tu dois déterminer l’intention la plus proche sémantiquement.
+
+Tu ne dois PAS inventer de nouvelles intentions.
+Tu ne dois utiliser QUE les intentions présentes dans les données fournies.
+Si aucun rapprochement sémantique pertinent n’existe, l’intention doit être "unknown".
+
+---
+
+Schéma de sortie STRICT (JSON uniquement, aucun texte hors JSON) :
+
+{
+"language": "",
+"intent": "",
+"intent_suggestions": [
+{
+"intent": "",
+"similarity": "high | medium | low | ambiguous"
+}
+]
+}
+
+---
+
+Définitions importantes de l'objet de sortie :
+
+- "language" : Détecte automatiquement la langue de la phrase utilisateur.
+
+- "intent" :
+    - intention principale la plus proche sémantiquement
+    - ou "unknown" si aucun rapprochement pertinent
+
+- "intent_suggestions" :
+    - contient les autres intentions possibles SI un lien sémantique existe
+    - maximum 5 éléments
+    - ne pas inclure l’intention principale dans les suggestions
+
+- "similarity" :
+    - "HIGH" : sens très proche ou équivalent
+    - "MEDIUM" : thème proche mais formulation ou intention partiellement différente
+    - "LOW" : lien sémantique lointain mais existant
+    - "AMBIGUOUS" : sens très proche mais plusieurs intentions possibles, rendant le résultat incertain
+
+---
+
+Règles de décision :
+
+1. Si la phrase utilisateur est très proche sémantiquement d’une phrase validée :
+    - reprendre l’intention associée
+    - similarity = "HIGH"
+
+2. Si plusieurs intentions sont proches :
+    - choisir la plus pertinente comme "intent"
+    - proposer les autres dans "intent_suggestions" avec une similarity adaptée
+
+3. Si aucun rapprochement sémantique clair n’est trouvé :
+    - "intent" = "unknown"
+    - "intent_suggestions" = []
+
+---
+
+Phrases validées (mémoire NLU) :
+
+[
+{
+"sentence": "Bonjour",
+"intent": "Greeting"
+},
+{
+"sentence": "Salut, comment ça va ?",
+"intent": "Greeting"
+},
+{
+"sentence": "Comment faire un virement bancaire ?",
+"intent": "Virement"
+},
+{
+"sentence": "Je veux effectuer un virement vers un autre compte",
+"intent": "Virement"
+},
+{
+"sentence": "Comment financer des panneaux solaires ?",
+"intent": "PanneauxSolaires"
+},
+{
+"sentence": "Quelles aides existent pour installer des panneaux solaires ?",
+"intent": "PanneauxSolaires"
+},
+{
+"sentence": "Est-ce qu'il y a des prêts pour l'installation de panneaux photovoltaïques ?",
+"intent": "PanneauxSolaires"
+}
+]
+
+---
+
+Phrase utilisateur à analyser :
+"{sentence}"
diff --git a/bot/admin/server/src/main/kotlin/service/prompt-5.md b/bot/admin/server/src/main/kotlin/service/prompt-5.md
new file mode 100644
index 0000000000..f4b49384a2
--- /dev/null
+++ b/bot/admin/server/src/main/kotlin/service/prompt-5.md
@@ -0,0 +1,136 @@
+## NLU déterministe
+
+Tu es un **moteur NLU déterministe**.
+Tu simules le fonctionnement d’un **modèle NLU classique basé sur la similarité sémantique**.
+
+### Objectif
+
+Comparer une phrase utilisateur à un ensemble de **phrases validées**, chacune associée à une **intention existante**, et déterminer :
+
+* l’intention la plus proche sémantiquement,
+* les intentions secondaires possibles si un lien sémantique existe.
+
+### Fonctionnement attendu
+
+* Tu compares la phrase utilisateur **uniquement** aux phrases validées fournies.
+* Chaque phrase validée est associée à **une intention existante**.
+* Tu choisis l’intention **la plus proche sémantiquement**.
+* Tu **n’inventes jamais** de nouvelles intentions.
+* Tu **n’utilises que** les intentions présentes dans les données fournies.
+* Si aucun rapprochement sémantique pertinent n’existe, l’intention principale doit être **"unknown"**.
+
+### Contraintes STRICTES
+
+* Ne jamais créer d’intention inexistante.
+* Ne jamais reformuler ou enrichir une intention.
+* Ne jamais expliquer ton raisonnement.
+* La sortie doit être **STRICTEMENT du JSON valide**, sans aucun texte hors JSON.
+
+## Schéma de sortie STRICT (JSON uniquement)
+
+```json
+{
+  "language": "",
+  "intent": "",
+  "similarity": "HIGH" | "STRONG" | "MEDIUM" | "LOW" | "AMBIGUOUS",
+  "score": 0,
+  "suggestions": [
+    {
+      "intent": "",
+      "similarity": "HIGH" | "STRONG" | "MEDIUM" | "LOW" | "AMBIGUOUS",
+      "score": 0
+    }
+  ]
+}
+```
+
+## Définition des champs
+
+### `language`
+
+* Détecte automatiquement la langue de la phrase utilisateur.
+* Fourni uniquement le code ISO 639-1 de la langue (ex : 'fr', 'en', 'de').
+
+### `intent`
+
+* L’intention **la plus proche sémantiquement** parmi les intentions existantes.
+* `"unknown"` si aucun rapprochement pertinent n’est trouvé.
+
+### `suggestions`
+
+* Contient les **autres intentions possibles** ayant un lien sémantique réel.
+* Maximum **5 éléments**.
+* Ne jamais inclure l’intention principale.
+* Liste vide si aucune autre intention pertinente n’existe.
+
+## Similarité sémantique (classification)
+
+* **HIGH**
+  Sens quasi équivalent, reformulation directe possible sans perte de sens ni d’intention.
+
+* **STRONG**
+  Intention identique et même objectif utilisateur, avec une **légère nuance**
+  (angle différent, précision supplémentaire, implicite vs explicite).
+
+* **MEDIUM**
+  Thème commun, mais intention ou portée partiellement différente.
+
+* **LOW**
+  Lien sémantique lointain mais existant.
+
+* **AMBIGUOUS**
+  Sens très proche, mais **plusieurs intentions possibles**, rendant la décision incertaine.
+
+## Score déterministe (OBLIGATOIRE)
+
+Le champ `score` est **strictement dérivé** du champ `similarity`.
+
+Aucune autre valeur n’est autorisée.
+
+| similarity  | score  |
+|-------------|--------|
+| LOW         | 0.0    |
+| AMBIGUOUS   | 0.5    |
+| MEDIUM      | 0.6    |
+| STRONG      | 0.8    |
+| HIGH        | 1.0    |
+
+> Le score doit toujours être **mécaniquement recalculable** à partir de `similarity`.
+
+## Règles de décision
+
+1. **Correspondance forte unique**
+
+    * Une phrase validée est très proche sémantiquement.
+    * → reprendre son intention
+    * → `similarity = HIGH` ou `STRONG`
+
+2. **Correspondances multiples**
+
+    * Plusieurs intentions sont proches.
+    * → choisir la plus pertinente comme `intent`
+    * → placer les autres dans `suggestions` avec leur `similarity` et `score`.
+
+3. **Absence de rapprochement pertinent**
+
+    * Aucun lien sémantique clair.
+    * → `intent = "unknown"`
+    * → `suggestions = []`
+    * → `similarity = LOW`
+    * → `score = 0.0`
+
+## Données fournies (mémoire NLU)
+
+Phrases validées (intention + exemples) :
+
+```
+{{validated_sentences}}
+```
+
+---
+
+## Phrase utilisateur à analyser
+
+```
+{{sentence}}
+```
diff --git a/bot/admin/server/src/main/kotlin/verticle/GenAIVerticle.kt b/bot/admin/server/src/main/kotlin/verticle/GenAIVerticle.kt
index b51fbb9269..38099fa362 100644
--- a/bot/admin/server/src/main/kotlin/verticle/GenAIVerticle.kt
+++ b/bot/admin/server/src/main/kotlin/verticle/GenAIVerticle.kt
@@ -25,21 +25,31 @@ import ai.tock.bot.admin.model.genai.BotSentenceGenerationInfoDTO
 import ai.tock.bot.admin.model.genai.BotVectorStoreConfigurationDTO
 import ai.tock.bot.admin.model.genai.PlaygroundRequest
 import ai.tock.bot.admin.model.genai.SentenceGenerationRequest
+import ai.tock.bot.admin.model.genai.model.genai.SentenceParsingRequest
 import ai.tock.bot.admin.service.CompletionService
 import ai.tock.bot.admin.service.DocumentCompressorService
 import ai.tock.bot.admin.service.ObservabilityService
 import ai.tock.bot.admin.service.RAGService
 import ai.tock.bot.admin.service.SentenceGenerationService
 import ai.tock.bot.admin.service.VectorStoreService
+import ai.tock.genai.orchestratorclient.responses.SentenceParsingResponse
+import ai.tock.nlp.admin.AdminService
+import ai.tock.nlp.admin.model.SentenceReport
+import ai.tock.nlp.core.Intent.Companion.RAG_EXCLUDED_INTENT_NAME
+import ai.tock.nlp.core.Intent.Companion.UNKNOWN_INTENT_NAME
 import ai.tock.nlp.front.client.FrontClient
 import ai.tock.nlp.front.shared.config.ApplicationDefinition
+import ai.tock.nlp.front.shared.parser.ParseResult
 import ai.tock.shared.exception.rest.NotFoundException
 import ai.tock.shared.security.TockUser
 import ai.tock.shared.security.TockUserRole.admin
 import ai.tock.shared.security.TockUserRole.botUser
 import ai.tock.shared.security.TockUserRole.nlpUser
 import ai.tock.shared.vertx.WebVerticle
+import ai.tock.shared.withNamespace
 import io.vertx.ext.web.RoutingContext
+import org.litote.kmongo.toId
+import java.util.Locale
 
 /**
  * [GenAIVerticle] contains all the routes and actions associated with the AI tasks
@@ -56,6 +66,8 @@ class GenAIVerticle {
 
         // Completion
         private const val PATH_COMPLETION_SENTENCE_GENERATION = "/gen-ai/bots/:botId/completion/sentence-generation"
+        private const val PATH_COMPLETION_SENTENCE_PARSING = "/gen-ai/bots/:botId/completion/sentence-parsing"
+
         private const val PATH_COMPLETION_PLAYGROUND = "/gen-ai/bots/:botId/completion/playground"
     }
 
@@ -277,9 +289,69 @@ class GenAIVerticle {
                     CompletionService.generate(request, app.namespace, app.name)
                 }
             }
+
+            // ---------------------------------- Generation - Parsing --------------------------
+            blockingJsonPost(
+                PATH_COMPLETION_SENTENCE_PARSING,
+                nlpUser,
+            ) { context: RoutingContext, request: SentenceParsingRequest ->
+                return@blockingJsonPost checkNamespaceAndExecute(context, currentContextApp) { app ->
+                    logger.info { "GEN AI - Sentence Parsing..." }
+                    val parsedSentence: SentenceParsingResponse? =
+                        CompletionService.parseSentence(
+                            request,
+                            app.namespace,
+                            botId = app.name,
+                            appId = app._id,
+                        )
+
+                    parsedSentence?.let {
+                        val language = Locale.forLanguageTag(it.language)
+
+                        val result =
+                            ParseResult(
+                                intent = it.intent,
+                                intentNamespace = app.namespace,
+                                language = Locale.forLanguageTag(it.language),
+                                entities = emptyList(),
+                                notRetainedEntities = emptyList(),
+                                intentProbability = it.score,
+                                entitiesProbability = 0.0,
+                                retainedQuery = request.sentence,
+                                otherIntentsProbabilities = it.suggestions.associate { o -> o.intent to o.score },
+                                originalIntentsProbabilities = emptyMap(),
+                            )
+
+                        val intentId =
+                            when (val intentWithNamespace = result.intent.withNamespace(result.intentNamespace)) {
+                                UNKNOWN_INTENT_NAME -> UNKNOWN_INTENT_NAME.toId()
+                                RAG_EXCLUDED_INTENT_NAME -> RAG_EXCLUDED_INTENT_NAME.toId()
+                                else -> AdminService.front.getIntentIdByQualifiedName(intentWithNamespace)!!
+                            }
+
+                        SentenceReport(result, language, app._id, intentId)
+                    }
+                }
+            }
         }
     }
 
+//    fun parseSentence(query: ParseQuery): SentenceReport {
+//        var result = AdminService.front.parse(query.toQuery())
+//        result = ai.tock.genai.orchestratorclient.services.CompletionService.parseSentence(
+//            request, app.namespace, botId = app.name, appId = app._id)
+//
+//        val intentWithNamespace = result.intent.withNamespace(result.intentNamespace)
+//        val intentId =
+//            when (intentWithNamespace) {
+//                UNKNOWN_INTENT_NAME -> UNKNOWN_INTENT_NAME.toId()
+//                RAG_EXCLUDED_INTENT_NAME -> RAG_EXCLUDED_INTENT_NAME.toId()
+//                else -> AdminService.front.getIntentIdByQualifiedName(intentWithNamespace)!!
+//            }
+//        val application = AdminService.front.getApplicationByNamespaceAndName(query.namespace, query.applicationName)!!
+//        return SentenceReport(result, query.currentLanguage, application._id, intentId)
+//    }
+
     /**
      * Get the namespace from the context
      * @param context : the vertx routing context
diff --git a/bot/admin/web/src/app/bot/story/action/step/step.component.ts b/bot/admin/web/src/app/bot/story/action/step/step.component.ts
index cd577b6bbc..08eaf6a61b 100644
--- a/bot/admin/web/src/app/bot/story/action/step/step.component.ts
+++ b/bot/admin/web/src/app/bot/story/action/step/step.component.ts
@@ -251,7 +251,7 @@ export class StepComponent implements OnInit {
       if (step.intent.name.length === 0 && !step.entity) {
         const app = this.state.currentApplication;
         const language = this.state.currentLocale;
-        this.nlp.parse(new ParseQuery(app.namespace, app.name, language, changedSentence, true)).subscribe((r) => {
+        /*this.nlp.parse(new ParseQuery(app.namespace, app.name, language, changedSentence, true)).subscribe((r) => {
           if (r.classification.intentId) {
             const intent = this.state.findIntentById(r.classification.intentId);
             if (intent) {
@@ -261,7 +261,21 @@ export class StepComponent implements OnInit {
               this.validateIntent(step, false);
             }
           }
-        });
+        });*/
+
+
+      this.nlp.gen_ai_parse({ sentence: changedSentence }).subscribe((sentence) => {
+        if (sentence.classification.intentId) {
+            const intent = this.state.findIntentById(sentence.classification.intentId);
+            if (intent) {
+              step.intentDefinition = intent;
+              step.intent = new IntentName(intent.name);
+              this.onIntentChange(step, intent.name);
+              this.validateIntent(step, false);
+            }
+          }
+      });
+
       } else {
         this.checkStep();
       }
diff --git a/bot/admin/web/src/app/bot/story/create-story/create-story.component.ts b/bot/admin/web/src/app/bot/story/create-story/create-story.component.ts
index d8186d7ca5..8453b666c0 100644
--- a/bot/admin/web/src/app/bot/story/create-story/create-story.component.ts
+++ b/bot/admin/web/src/app/bot/story/create-story/create-story.component.ts
@@ -104,6 +104,8 @@ export class CreateStoryComponent implements OnInit, OnDestroy {
       this.toastrService.show(`Please enter a non-empty sentence`, 'ERROR', { duration: 2000 });
     } else {
       this.loading = true;
+
+      /*
       this.nlp.parse(new ParseQuery(app.namespace, app.name, language, v, true)).subscribe((sentence) => {
         this.sentence = sentence;
         const intent = this.initIntentName(v, sentence.classification.intentId);
@@ -113,6 +115,17 @@ export class CreateStoryComponent implements OnInit, OnDestroy {
         this.story.name = v;
         this.displayStory = true;
         this.loading = false;
+      });*/
+
+      this.nlp.gen_ai_parse({ sentence: v }).subscribe((sentence) => {
+        this.sentence = sentence;
+        const intent = this.initIntentName(v, sentence.classification.intentId);
+        this.story.userSentence = v;
+        this.story.storyId = intent;
+        this.story.intent = new IntentName(intent);
+        this.story.name = v;
+        this.displayStory = true;
+        this.loading = false;
       });
     }
   }
diff --git a/bot/admin/web/src/app/core-nlp/nlp.service.ts b/bot/admin/web/src/app/core-nlp/nlp.service.ts
index 428fd78697..3cfd3a41a2 100644
--- a/bot/admin/web/src/app/core-nlp/nlp.service.ts
+++ b/bot/admin/web/src/app/core-nlp/nlp.service.ts
@@ -40,6 +40,7 @@ import {
 import { Observable } from 'rxjs';
 import { Application } from '../model/application';
 import { FileUploader } from 'ng2-file-upload';
+import { SentenceParsingRequest } from '../shared/components/sentences-generation/models';
 
 @Injectable({
   providedIn: 'root'
@@ -58,6 +59,17 @@ export class NlpService {
     return this.rest.post('/parse', parseQuery, Sentence.fromJSON);
   }
 
+  /*generateSentences(body: CompletionRequest): Observable<CompletionResponse> {
+    const url = `/gen-ai/bots/${this.state.currentApplication.name}/completion/sentence-generation`;
+
+    return this.restService.post<CompletionRequest, CompletionResponse>(url, body);
+  }*/
+
+  gen_ai_parse(body: SentenceParsingRequest): Observable<Sentence> {
+    const url = `/gen-ai/bots/${this.state.currentApplication.name}/completion/sentence-parsing`;
+    return this.rest.post(url, body, Sentence.fromJSON);
+  }
+
   saveIntent(intent: Intent): Observable<Intent> {
     return this.rest.post('/intent', intent, Intent.fromJSON);
   }
diff --git a/bot/admin/web/src/app/language-understanding/sentences/sentence-new/sentence-new.component.ts b/bot/admin/web/src/app/language-understanding/sentences/sentence-new/sentence-new.component.ts
index ce8e03faaa..2887823cae 100644
--- a/bot/admin/web/src/app/language-understanding/sentences/sentence-new/sentence-new.component.ts
+++ b/bot/admin/web/src/app/language-understanding/sentences/sentence-new/sentence-new.component.ts
@@ -20,6 +20,7 @@ import { Subject, takeUntil } from 'rxjs';
 import { NlpService } from '../../../core-nlp/nlp.service';
 import { StateService } from '../../../core-nlp/state.service';
 import { NbToastrService } from '@nebular/theme';
+import { SentenceParsingRequest } from 'src/app/shared/components/sentences-generation/models';
 
 @Component({
   selector: 'tock-sentence-new',
@@ -29,6 +30,7 @@ import { NbToastrService } from '@nebular/theme';
 export class SentenceNewComponent implements OnInit, OnDestroy {
   destroy = new Subject();
   sentence: Sentence;
+  sentenceOld: Sentence;
   skipCache: boolean = false;
   queryState: string;
 
@@ -48,8 +50,15 @@ export class SentenceNewComponent implements OnInit, OnDestroy {
     if (v.length == 0) {
       this.toastrService.show(`Please enter a non-empty query`, 'ERROR', { duration: 2000 });
     } else {
+      this.toastrService.show(`${v}`, 'INFO', { duration: 1000 });
       this.sentence = null;
-      this.nlp
+      this.sentenceOld = null;
+
+      this.nlp.gen_ai_parse({ sentence: v }).subscribe((sentence) => {
+        this.sentence = sentence;
+      });
+
+      /*this.nlp
         .parse(
           new ParseQuery(
             app.namespace,
@@ -61,8 +70,9 @@ export class SentenceNewComponent implements OnInit, OnDestroy {
           )
         )
         .subscribe((sentence) => {
-          this.sentence = sentence;
-        });
+          this.sentenceOld = sentence;
+        });*/
+
     }
   }
 
diff --git a/bot/admin/web/src/app/shared/components/sentences-generation/models/completion.ts b/bot/admin/web/src/app/shared/components/sentences-generation/models/completion.ts
index 5e92c391a7..0bf33ca8d6 100644
--- a/bot/admin/web/src/app/shared/components/sentences-generation/models/completion.ts
+++ b/bot/admin/web/src/app/shared/components/sentences-generation/models/completion.ts
@@ -21,6 +21,10 @@ export interface CompletionRequest {
   llmTemperature: number;
 }
 
+export interface SentenceParsingRequest {
+  sentence: string;
+}
+
 export interface CompletionOptions {
   abbreviatedLanguage: boolean;
   smsLanguage: boolean;
diff --git a/bot/engine/pom.xml b/bot/engine/pom.xml
index 945c3da6d8..3ea86543e1 100644
--- a/bot/engine/pom.xml
+++ b/bot/engine/pom.xml
@@ -96,6 +96,21 @@
             <version>${vertx}</version>
             <scope>test</scope>
         </dependency>
+        <dependency>
+            <groupId>ai.tock</groupId>
+            <artifactId>tock-nlp-front-shared</artifactId>
+            <version>${project.version}</version>
+        </dependency>
+        <dependency>
+            <groupId>ai.tock</groupId>
+            <artifactId>tock-nlp-front-service</artifactId>
+            <version>${project.version}</version>
+        </dependency>
+        <dependency>
+            <groupId>ai.tock</groupId>
+            <artifactId>tock-nlp-front-storage-mongo</artifactId>
+            <version>${project.version}</version>
+        </dependency>
     </dependencies>
 
     <build>
diff --git a/bot/engine/src/main/kotlin/engine/Ioc.kt b/bot/engine/src/main/kotlin/engine/Ioc.kt
index 2fd8702f3d..f4c195d5d3 100644
--- a/bot/engine/src/main/kotlin/engine/Ioc.kt
+++ b/bot/engine/src/main/kotlin/engine/Ioc.kt
@@ -35,6 +35,8 @@ import ai.tock.genai.orchestratorclient.services.impl.RAGServiceImpl
 import ai.tock.genai.orchestratorclient.services.impl.VectorStoreProviderServiceImpl
 import ai.tock.nlp.api.client.NlpClient
 import ai.tock.nlp.api.client.TockNlpClient
+import ai.tock.nlp.front.service.ApplicationConfigurationService
+import ai.tock.nlp.front.shared.ApplicationConfiguration
 import com.github.salomonbrys.kodein.Kodein
 import com.github.salomonbrys.kodein.bind
 import com.github.salomonbrys.kodein.provider
@@ -55,4 +57,5 @@ val botModule =
         bind<ObservabilityProviderService>() with singleton { ObservabilityProviderServiceImpl() }
         bind<VectorStoreProviderService>() with singleton { VectorStoreProviderServiceImpl() }
         bind<DocumentCompressorProviderService>() with singleton { DocumentCompressorProviderServiceImpl() }
+        bind<ApplicationConfiguration>() with provider { ApplicationConfigurationService }
     }
diff --git a/bot/engine/src/main/kotlin/engine/nlp/Nlp.kt b/bot/engine/src/main/kotlin/engine/nlp/Nlp.kt
index da68f255ad..4694c51d8a 100644
--- a/bot/engine/src/main/kotlin/engine/nlp/Nlp.kt
+++ b/bot/engine/src/main/kotlin/engine/nlp/Nlp.kt
@@ -28,6 +28,11 @@ import ai.tock.bot.engine.dialog.DialogState
 import ai.tock.bot.engine.dialog.EntityStateValue
 import ai.tock.bot.engine.dialog.EntityValue
 import ai.tock.bot.engine.user.UserTimeline
+import ai.tock.genai.orchestratorclient.requests.CompletionRequest
+import ai.tock.genai.orchestratorclient.requests.Formatter
+import ai.tock.genai.orchestratorclient.requests.PromptTemplate
+import ai.tock.genai.orchestratorclient.services.CompletionService
+import ai.tock.genai.orchestratorcore.models.llm.AzureOpenAILLMSetting
 import ai.tock.nlp.api.client.NlpClient
 import ai.tock.nlp.api.client.model.Entity
 import ai.tock.nlp.api.client.model.NlpEntityValue
@@ -43,28 +48,55 @@ import ai.tock.nlp.api.client.model.evaluation.EntityToEvaluate
 import ai.tock.nlp.api.client.model.merge.ValueToMerge
 import ai.tock.nlp.api.client.model.merge.ValuesMergeQuery
 import ai.tock.nlp.api.client.model.monitoring.MarkAsUnknownQuery
+import ai.tock.nlp.front.service.ApplicationConfigurationService
+import ai.tock.nlp.front.service.applicationDAO
+import ai.tock.nlp.front.service.entityTypeDAO
+import ai.tock.nlp.front.service.faqDefinitionDAO
+import ai.tock.nlp.front.service.intentDAO
+import ai.tock.nlp.front.service.namespaceConfigurationDAO
+import ai.tock.nlp.front.service.sentenceDAO
+import ai.tock.nlp.front.service.storage.ApplicationDefinitionDAO
+import ai.tock.nlp.front.service.storage.ClassifiedSentenceDAO
+import ai.tock.nlp.front.service.storage.EntityTypeDefinitionDAO
+import ai.tock.nlp.front.service.storage.FaqDefinitionDAO
+import ai.tock.nlp.front.service.storage.IntentDefinitionDAO
+import ai.tock.nlp.front.service.storage.NamespaceConfigurationDAO
+import ai.tock.nlp.front.service.storage.UserNamespaceDAO
+import ai.tock.nlp.front.service.userNamespaceDAO
+import ai.tock.nlp.front.shared.ApplicationConfiguration
+import ai.tock.nlp.front.shared.config.SentencesQuery
+import ai.tock.nlp.front.shared.config.ValidatedSentence
+import ai.tock.nlp.front.shared.parser.ParseResult
 import ai.tock.shared.Executor
 import ai.tock.shared.coroutines.ExperimentalTockCoroutines
 import ai.tock.shared.defaultZoneId
 import ai.tock.shared.error
 import ai.tock.shared.injector
+import ai.tock.shared.property
 import ai.tock.shared.provide
+import ai.tock.shared.security.key.RawSecretKey
+import ai.tock.shared.security.key.SecretKey
 import ai.tock.shared.withNamespace
 import mu.KotlinLogging
 import java.io.InputStream
 import java.time.ZonedDateTime
+import java.util.Locale
 
 /**
  * [NlpController] default implementation.
  */
 @OptIn(ExperimentalTockCoroutines::class)
-internal class Nlp : NlpController {
+internal class Nlp :
+    NlpController {
     companion object {
         private val logger = KotlinLogging.logger {}
     }
 
     private val nlpClient: NlpClient get() = injector.provide()
     private val executor: Executor get() = injector.provide()
+    private val config = ApplicationConfigurationService
+//    private val appConfiguration: ApplicationConfiguration get() = injector.provide()
+    private val completionService: CompletionService get() = injector.provide()
 
     private class SentenceParser(
         val nlpClient: NlpClient,
@@ -73,6 +105,8 @@ internal class Nlp : NlpController {
         val dialog: Dialog,
         val connector: TockConnectorController,
         val botDefinition: BotDefinition,
+        val appConfiguration: ApplicationConfiguration,
+        val completionService: CompletionService,
     ) {
         suspend fun parse() {
             logger.debug { "Parse sentence : $sentence" }
@@ -382,37 +416,253 @@ internal class Nlp : NlpController {
             logger.debug { "Sending sentence '${sentence.stringText}' to NLP" }
             val intentsQualifiers = dialog.state.nextActionState?.intentsQualifiers
             val useQualifiers = !intentsQualifiers.isNullOrEmpty()
-            val result =
-                if (!useQualifiers) {
-                    nlpClient.parse(request)
-                } else {
-                    nlpClient.parse(
-                        request.copy(
-                            intentsSubset =
-                                intentsQualifiers.asSequence().map {
-                                    it.copy(
-                                        intent =
-                                            it.intent.withNamespace(
-                                                request.namespace,
-                                            ),
-                                    )
-                                }.toSet(),
+
+            val app = appConfiguration.getApplicationByNamespaceAndName(request.namespace, request.applicationName)!!
+
+            val resultMass =
+                appConfiguration.search(
+                    query =
+                        SentencesQuery(
+                            applicationId = app._id,
+                            size = 1000,
+                            status =
+                                setOf(
+                                    ai.tock.nlp.front.shared.config.ClassifiedSentenceStatus.validated,
+                                    ai.tock.nlp.front.shared.config.ClassifiedSentenceStatus.model,
+                                ),
                         ),
-                    )
-                }
-            if (result != null && useQualifiers) {
-                // force intents qualifiers if unknown answer
-                if (intentsQualifiers.none { it.intent == result.intent }) {
-                    return result.copy(
-                        intent =
-                            intentsQualifiers.maxByOrNull { it.modifier }?.intent
-                                ?: intentsQualifiers.first().intent,
-                    ).also {
-                        logger.warn { "${result.intent} not in intents qualifier $intentsQualifiers - use $it" }
+                )
+
+            val intents = appConfiguration.getIntentsByApplicationId(app._id)
+
+            val intentById = intents.associateBy { it._id }
+
+            val sentences: List<ValidatedSentence> =
+                resultMass.sentences.mapNotNull { sentence ->
+                    val intentName = intentById[sentence.classification.intentId]?.name
+                    intentName?.let {
+                        ValidatedSentence(
+                            text = sentence.text,
+                            intent = it,
+                        )
                     }
                 }
+
+            // Get prompt
+            val prompt =
+                PromptTemplate(
+                    formatter = Formatter.JINJA2.id,
+                    template =
+                        """
+                        ## NLU déterministe
+
+                        Tu es un **moteur NLU déterministe**.
+                        Tu simules le fonctionnement d’un **modèle NLU classique basé sur la similarité sémantique**.
+
+                        ### Objectif
+
+                        Comparer une phrase utilisateur à un ensemble de **phrases validées**, chacune associée à une **intention existante**, et déterminer :
+
+                        * l’intention la plus proche sémantiquement,
+                        * les intentions secondaires possibles si un lien sémantique existe.
+
+                        ### Fonctionnement attendu
+
+                        * Tu compares la phrase utilisateur **uniquement** aux phrases validées fournies.
+                        * Chaque phrase validée est associée à **une intention existante**.
+                        * Tu choisis l’intention **la plus proche sémantiquement**.
+                        * Tu **n’inventes jamais** de nouvelles intentions.
+                        * Tu **n’utilises que** les intentions présentes dans les données fournies.
+                        * Si aucun rapprochement sémantique pertinent n’existe, l’intention principale doit être **"unknown"**.
+
+                        ### Contraintes STRICTES
+
+                        * Ne jamais créer d’intention inexistante.
+                        * Ne jamais reformuler ou enrichir une intention.
+                        * Ne jamais expliquer ton raisonnement.
+                        * La sortie doit être **STRICTEMENT du JSON valide**, sans aucun texte hors JSON.
+
+                        ## Schéma de sortie STRICT (JSON uniquement)
+
+                        ```json
+                        {
+                          "language": "",
+                          "intent": "",
+                          "similarity": "HIGH" | "STRONG" | "MEDIUM" | "LOW" | "AMBIGUOUS",
+                          "score": 0,
+                          "suggestions": [
+                            {
+                              "intent": "",
+                              "similarity": "HIGH" | "STRONG" | "MEDIUM" | "LOW" | "AMBIGUOUS",
+                              "score": 0
+                            }
+                          ]
+                        }
+                        ```
+
+                        ## Définition des champs
+
+                        ### `language`
+
+                        * Détecte automatiquement la langue de la phrase utilisateur.
+
+                        ### `intent`
+
+                        * L’intention **la plus proche sémantiquement** parmi les intentions existantes.
+                        * `"unknown"` si aucun rapprochement pertinent n’est trouvé.
+
+                        ### `suggestions`
+
+                        * Contient les **autres intentions possibles** ayant un lien sémantique réel.
+                        * Maximum **5 éléments**.
+                        * Ne jamais inclure l’intention principale.
+                        * Liste vide si aucune autre intention pertinente n’existe.
+
+                        ## Similarité sémantique (classification)
+
+                        * **HIGH**
+                          Sens quasi équivalent, reformulation directe possible sans perte de sens ni d’intention.
+
+                        * **STRONG**
+                          Intention identique et même objectif utilisateur, avec une **légère nuance**
+                          (angle différent, précision supplémentaire, implicite vs explicite).
+
+                        * **MEDIUM**
+                          Thème commun, mais intention ou portée partiellement différente.
+
+                        * **LOW**
+                          Lien sémantique lointain mais existant.
+
+                        * **AMBIGUOUS**
+                          Sens très proche, mais **plusieurs intentions possibles**, rendant la décision incertaine.
+
+                        ## Score déterministe (OBLIGATOIRE)
+
+                        Le champ `score` est **strictement dérivé** du champ `similarity`.
+
+                        Aucune autre valeur n’est autorisée.
+
+                        | similarity  | score  |
+                        |-------------|--------|
+                        | LOW         | 0.0    |
+                        | AMBIGUOUS   | 0.5    |
+                        | MEDIUM      | 0.6    |
+                        | STRONG      | 0.8    |
+                        | HIGH        | 1.0    |
+
+                        > Le score doit toujours être **mécaniquement recalculable** à partir de `similarity`.
+
+                        ## Règles de décision
+
+                        1. **Correspondance forte unique**
+
+                            * Une phrase validée est très proche sémantiquement.
+                            * → reprendre son intention
+                            * → `similarity = HIGH` ou `STRONG`
+
+                        2. **Correspondances multiples**
+
+                            * Plusieurs intentions sont proches.
+                            * → choisir la plus pertinente comme `intent`
+                            * → placer les autres dans `suggestions` avec leur `similarity` et `score`.
+
+                        3. **Absence de rapprochement pertinent**
+
+                            * Aucun lien sémantique clair.
+                            * → `intent = "unknown"`
+                            * → `suggestions = []`
+                            * → `similarity = LOW`
+                            * → `score = 0.0`
+
+                        ## Données fournies (mémoire NLU)
+
+                        Phrases validées (intention + exemples) :
+                        ```
+                        {{examples}}
+                        ```
+
+                        ## Phrase utilisateur à analyser
+                        ```
+                        {{sentence}}
+                        ```
+
+                        """.trimIndent(),
+                    inputs =
+                        mapOf(
+                            "sentence" to request.queries.first(),
+                            "examples" to sentences,
+                        ),
+                )
+
+            // call the completion service to generate sentences
+            val parsedSentence = completionService
+                .parseSentence(
+                    CompletionRequest(
+                        AzureOpenAILLMSetting<SecretKey>(
+                            apiKey = RawSecretKey(secret = property("SPIKE_1700", "XXXX")),
+                            temperature = "0.5",
+                            apiBase = "https://apim-di01-rec-openai-swct.azure-api.net",
+                            deploymentName = "cd-di01-tock-bot-gpt4o-rec-swct",
+                            apiVersion = "2024-03-01-preview",
+                            model = "gpt-4o",
+                        ),
+                        prompt,
+                        null,
+                    ),
+                )
+
+            val genAiResult =parsedSentence?.let {
+                val language = Locale.forLanguageTag(it.language)
+
+                NlpResult(
+                    intent = it.intent,
+                    intentNamespace = app.namespace,
+                    language = language,
+                    entities = emptyList(),
+                    notRetainedEntities = emptyList(),
+                    intentProbability = it.score,
+                    entitiesProbability = 0.0,
+                    retainedQuery = request.queries.first(),
+                    otherIntentsProbabilities = it.suggestions.associate { o -> o.intent to o.score },
+                    originalIntentsProbabilities = emptyMap(),
+                )
+
             }
-            return result
+
+
+//            val result =
+//                if (!useQualifiers) {
+//                    nlpClient.parse(request)
+//                } else {
+//                    nlpClient.parse(
+//                        request.copy(
+//                            intentsSubset =
+//                                intentsQualifiers.asSequence().map {
+//                                    it.copy(
+//                                        intent =
+//                                            it.intent.withNamespace(
+//                                                request.namespace,
+//                                            ),
+//                                    )
+//                                }.toSet(),
+//                        ),
+//                    )
+//                }
+//            if (result != null && useQualifiers) {
+//                // force intents qualifiers if unknown answer
+//                if (intentsQualifiers.none { it.intent == result.intent }) {
+//                    return result.copy(
+//                        intent =
+//                            intentsQualifiers.maxByOrNull { it.modifier }?.intent
+//                                ?: intentsQualifiers.first().intent,
+//                    ).also {
+//                        logger.warn { "${result.intent} not in intents qualifier $intentsQualifiers - use $it" }
+//                    }
+//                }
+//            }
+//            return result
+
+            return genAiResult
         }
     }
 
@@ -437,6 +687,8 @@ internal class Nlp : NlpController {
             dialog,
             connector as TockConnectorController,
             botDefinition,
+            config,
+            completionService,
         ).parse()
     }
 
diff --git a/bot/toolkit-base/src/main/kotlin/BotIoc.kt b/bot/toolkit-base/src/main/kotlin/BotIoc.kt
index d8b22c04de..98e79ee1b2 100644
--- a/bot/toolkit-base/src/main/kotlin/BotIoc.kt
+++ b/bot/toolkit-base/src/main/kotlin/BotIoc.kt
@@ -18,6 +18,7 @@ package ai.tock.bot
 
 import ai.tock.bot.engine.botModule
 import ai.tock.bot.mongo.botMongoModule
+import ai.tock.nlp.front.storage.mongo.frontMongoModule
 import ai.tock.shared.Loader
 import ai.tock.shared.injector
 import ai.tock.shared.service.BotAdditionalModulesService
@@ -40,7 +41,7 @@ object BotIoc {
     val coreModules: List<Module> =
         run {
             val additionalModulesService = Loader.loadServices<BotAdditionalModulesService>()
-            listOf(sharedModule, botModule, botMongoModule, noOpTranslatorModule, noOpSTTModule)
+            listOf(sharedModule, botModule, botMongoModule, noOpTranslatorModule, noOpSTTModule, frontMongoModule)
                 .plus(additionalModulesService.flatMap { it.defaultModules() }.toList())
                 // Add custom modules/services to override default modules/services.
                 // The order is very important: we need to inject the default modules/services first, then the custom modules/services.
diff --git a/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/api/CompletionApi.kt b/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/api/CompletionApi.kt
index e0e9816dc7..c7136e83f8 100644
--- a/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/api/CompletionApi.kt
+++ b/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/api/CompletionApi.kt
@@ -19,6 +19,7 @@ package ai.tock.genai.orchestratorclient.api
 import ai.tock.genai.orchestratorclient.requests.CompletionRequest
 import ai.tock.genai.orchestratorclient.responses.CompletionResponse
 import ai.tock.genai.orchestratorclient.responses.SentenceCompletionResponse
+import ai.tock.genai.orchestratorclient.responses.SentenceParsingResponse
 import retrofit2.Call
 import retrofit2.http.Body
 import retrofit2.http.POST
@@ -33,4 +34,9 @@ internal interface CompletionApi {
     fun generateSentences(
         @Body query: CompletionRequest,
     ): Call<SentenceCompletionResponse>
+
+    @POST("/completion/parsing")
+    fun parseSentence(
+        @Body query: CompletionRequest,
+    ): Call<SentenceParsingResponse>
 }
diff --git a/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/responses/SentenceParsingResponse.kt b/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/responses/SentenceParsingResponse.kt
new file mode 100644
index 0000000000..f89be35b61
--- /dev/null
+++ b/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/responses/SentenceParsingResponse.kt
@@ -0,0 +1,60 @@
+/*
+ * Copyright (C) 2017/2025 SNCF Connect & Tech
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package ai.tock.genai.orchestratorclient.responses
+
+/**
+ * Represents the confidence level of an intent match.
+ *
+ * @property HIGH Strong confidence that the detected intent is correct.
+ * @property MEDIUM Moderate confidence; the intent is likely correct but not certain.
+ * @property LOW Weak confidence; the match may be incorrect.
+ * @property AMBIGUOUS Multiple intents have similar scores, making the result unclear.
+ */
+enum class SimilarityLevel {
+    HIGH,
+    STRONG,
+    MEDIUM,
+    LOW,
+    AMBIGUOUS,
+}
+
+/**
+ * Suggestion for a possible intent of a sentence.
+ *
+ * @property intent Suggested intent name.
+ * @property similarity Confidence level of the intent match.
+ */
+data class IntentSuggestion(
+    val intent: String,
+    val similarity: SimilarityLevel,
+    val score: Double,
+)
+
+/**
+ * Response of sentence parsing.
+ *
+ * @property language Detected language of the input sentence.
+ * @property intent Best-matched intent.
+ * @property suggestions List of alternative intent suggestions ranked by similarity.
+ */
+data class SentenceParsingResponse(
+    val language: String,
+    val intent: String,
+    val similarity: SimilarityLevel,
+    val score: Double,
+    val suggestions: List<IntentSuggestion>,
+)
diff --git a/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/services/CompletionService.kt b/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/services/CompletionService.kt
index 263e4d83b9..f3c98b762e 100644
--- a/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/services/CompletionService.kt
+++ b/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/services/CompletionService.kt
@@ -19,9 +19,12 @@ package ai.tock.genai.orchestratorclient.services
 import ai.tock.genai.orchestratorclient.requests.CompletionRequest
 import ai.tock.genai.orchestratorclient.responses.CompletionResponse
 import ai.tock.genai.orchestratorclient.responses.SentenceCompletionResponse
+import ai.tock.genai.orchestratorclient.responses.SentenceParsingResponse
 
 interface CompletionService {
     fun generate(query: CompletionRequest): CompletionResponse?
 
     fun generateSentences(query: CompletionRequest): SentenceCompletionResponse?
+
+    fun parseSentence(query: CompletionRequest): SentenceParsingResponse?
 }
diff --git a/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/services/impl/CompletionServiceImpl.kt b/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/services/impl/CompletionServiceImpl.kt
index 0bfaf4b2c0..2c8b5a8102 100644
--- a/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/services/impl/CompletionServiceImpl.kt
+++ b/gen-ai/orchestrator-client/src/main/kotlin/ai/tock/genai/orchestratorclient/services/impl/CompletionServiceImpl.kt
@@ -20,6 +20,7 @@ import ai.tock.genai.orchestratorclient.api.CompletionApi
 import ai.tock.genai.orchestratorclient.requests.CompletionRequest
 import ai.tock.genai.orchestratorclient.responses.CompletionResponse
 import ai.tock.genai.orchestratorclient.responses.SentenceCompletionResponse
+import ai.tock.genai.orchestratorclient.responses.SentenceParsingResponse
 import ai.tock.genai.orchestratorclient.retrofit.GenAIOrchestratorClient
 import ai.tock.genai.orchestratorclient.services.CompletionService
 
@@ -30,4 +31,6 @@ class CompletionServiceImpl : CompletionService {
     override fun generate(query: CompletionRequest): CompletionResponse? = completionApi.generate(query).execute().body()
 
     override fun generateSentences(query: CompletionRequest): SentenceCompletionResponse? = completionApi.generateSentences(query).execute().body()
+
+    override fun parseSentence(query: CompletionRequest): SentenceParsingResponse? = completionApi.parseSentence(query).execute().body()
 }
diff --git a/gen-ai/orchestrator-server/src/main/python/server/poetry.lock b/gen-ai/orchestrator-server/src/main/python/server/poetry.lock
index 53a3490ee5..f27c3d8e5d 100644
--- a/gen-ai/orchestrator-server/src/main/python/server/poetry.lock
+++ b/gen-ai/orchestrator-server/src/main/python/server/poetry.lock
@@ -1,106 +1,148 @@
-# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.4"
+version = "2.6.1"
 description = "Happy Eyeballs for asyncio"
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
+python-versions = ">=3.9"
 files = [
-    {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
-    {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
+    {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
+    {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.11.11"
+version = "3.13.3"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "aiohttp-3.11.11-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a60804bff28662cbcf340a4d61598891f12eea3a66af48ecfdc975ceec21e3c8"},
-    {file = "aiohttp-3.11.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4b4fa1cb5f270fb3eab079536b764ad740bb749ce69a94d4ec30ceee1b5940d5"},
-    {file = "aiohttp-3.11.11-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:731468f555656767cda219ab42e033355fe48c85fbe3ba83a349631541715ba2"},
-    {file = "aiohttp-3.11.11-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb23d8bb86282b342481cad4370ea0853a39e4a32a0042bb52ca6bdde132df43"},
-    {file = "aiohttp-3.11.11-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f047569d655f81cb70ea5be942ee5d4421b6219c3f05d131f64088c73bb0917f"},
-    {file = "aiohttp-3.11.11-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dd7659baae9ccf94ae5fe8bfaa2c7bc2e94d24611528395ce88d009107e00c6d"},
-    {file = "aiohttp-3.11.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:af01e42ad87ae24932138f154105e88da13ce7d202a6de93fafdafb2883a00ef"},
-    {file = "aiohttp-3.11.11-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5854be2f3e5a729800bac57a8d76af464e160f19676ab6aea74bde18ad19d438"},
-    {file = "aiohttp-3.11.11-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:6526e5fb4e14f4bbf30411216780c9967c20c5a55f2f51d3abd6de68320cc2f3"},
-    {file = "aiohttp-3.11.11-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:85992ee30a31835fc482468637b3e5bd085fa8fe9392ba0bdcbdc1ef5e9e3c55"},
-    {file = "aiohttp-3.11.11-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:88a12ad8ccf325a8a5ed80e6d7c3bdc247d66175afedbe104ee2aaca72960d8e"},
-    {file = "aiohttp-3.11.11-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:0a6d3fbf2232e3a08c41eca81ae4f1dff3d8f1a30bae415ebe0af2d2458b8a33"},
-    {file = "aiohttp-3.11.11-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:84a585799c58b795573c7fa9b84c455adf3e1d72f19a2bf498b54a95ae0d194c"},
-    {file = "aiohttp-3.11.11-cp310-cp310-win32.whl", hash = "sha256:bfde76a8f430cf5c5584553adf9926534352251d379dcb266ad2b93c54a29745"},
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+    {file = "aiohttp-3.13.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:40c5e40ecc29ba010656c18052b877a1c28f84344825efa106705e835c28530f"},
+    {file = "aiohttp-3.13.3-cp39-cp39-win32.whl", hash = "sha256:56339a36b9f1fc708260c76c87e593e2afb30d26de9ae1eb445b5e051b98a7a1"},
+    {file = "aiohttp-3.13.3-cp39-cp39-win_amd64.whl", hash = "sha256:c6b8568a3bb5819a0ad087f16d40e5a3fb6099f39ea1d5625a3edc1e923fc538"},
+    {file = "aiohttp-3.13.3.tar.gz", hash = "sha256:a949eee43d3782f2daae4f4a2819b2cb9b0c5d3b7f7a927067cc84dafdbb9f88"},
 ]
 
 [package.dependencies]
-aiohappyeyeballs = ">=2.3.0"
-aiosignal = ">=1.1.2"
+aiohappyeyeballs = ">=2.5.0"
+aiosignal = ">=1.4.0"
 async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
@@ -109,22 +151,22 @@ propcache = ">=0.2.0"
 yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
+speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"]
 
 [[package]]
 name = "aiosignal"
-version = "1.3.2"
+version = "1.4.0"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
 files = [
-    {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
-    {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
+    {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"},
+    {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"},
 ]
 
 [package.dependencies]
 frozenlist = ">=1.1.0"
+typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""}
 
 [[package]]
 name = "annotated-types"
@@ -132,7 +174,6 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 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"},
@@ -140,46 +181,41 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.8.0"
-description = "High level compatibility layer for multiple asynchronous event loop implementations"
+version = "4.12.1"
+description = "High-level concurrency and networking framework on top of asyncio or Trio"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
 files = [
-    {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
-    {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
+    {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"},
+    {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"},
 ]
 
 [package.dependencies]
 exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
-sniffio = ">=1.1"
 typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [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)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
-trio = ["trio (>=0.26.1)"]
+trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"]
 
 [[package]]
 name = "arrow"
-version = "1.3.0"
+version = "1.4.0"
 description = "Better dates & times for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
-    {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"},
-    {file = "arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"},
+    {file = "arrow-1.4.0-py3-none-any.whl", hash = "sha256:749f0769958ebdc79c173ff0b0670d59051a535fa26e8eba02953dc19eb43205"},
+    {file = "arrow-1.4.0.tar.gz", hash = "sha256:ed0cc050e98001b8779e84d461b0098c4ac597e88704a655582b21d116e526d7"},
 ]
 
 [package.dependencies]
 python-dateutil = ">=2.7.0"
-types-python-dateutil = ">=2.8.10"
+tzdata = {version = "*", markers = "python_version >= \"3.9\""}
 
 [package.extras]
 doc = ["doc8", "sphinx (>=7.0.0)", "sphinx-autobuild", "sphinx-autodoc-typehints", "sphinx_rtd_theme (>=1.3.0)"]
-test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2021.1)", "simplejson (==3.*)"]
+test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2025.2)", "simplejson (==3.*)"]
 
 [[package]]
 name = "async-timeout"
@@ -187,8 +223,6 @@ version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version == \"3.10\""
 files = [
     {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
     {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
@@ -196,31 +230,21 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "24.3.0"
+version = "25.4.0"
 description = "Classes Without Boilerplate"
 optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev"]
+python-versions = ">=3.9"
 files = [
-    {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"},
-    {file = "attrs-24.3.0.tar.gz", hash = "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"},
+    {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"},
+    {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"},
 ]
 
-[package.extras]
-benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
-tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
-
 [[package]]
 name = "backoff"
 version = "2.2.1"
 description = "Function decoration for backoff and retry"
 optional = false
 python-versions = ">=3.7,<4.0"
-groups = ["main"]
 files = [
     {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
@@ -228,14 +252,13 @@ files = [
 
 [[package]]
 name = "bandit"
-version = "1.8.2"
+version = "1.9.3"
 description = "Security oriented static analyser for python code."
 optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
+python-versions = ">=3.10"
 files = [
-    {file = "bandit-1.8.2-py3-none-any.whl", hash = "sha256:df6146ad73dd30e8cbda4e29689ddda48364e36ff655dbfc86998401fcf1721f"},
-    {file = "bandit-1.8.2.tar.gz", hash = "sha256:e00ad5a6bc676c0954669fe13818024d66b70e42cf5adb971480cf3b671e835f"},
+    {file = "bandit-1.9.3-py3-none-any.whl", hash = "sha256:4745917c88d2246def79748bde5e08b9d5e9b92f877863d43fab70cd8814ce6a"},
+    {file = "bandit-1.9.3.tar.gz", hash = "sha256:ade4b9b7786f89ef6fc7344a52b34558caec5da74cb90373aed01de88472f774"},
 ]
 
 [package.dependencies]
@@ -248,51 +271,54 @@ stevedore = ">=1.20.0"
 baseline = ["GitPython (>=3.1.30)"]
 sarif = ["jschema-to-python (>=1.2.3)", "sarif-om (>=1.0.4)"]
 test = ["beautifulsoup4 (>=4.8.0)", "coverage (>=4.5.4)", "fixtures (>=3.0.0)", "flake8 (>=4.0.0)", "pylint (==1.9.4)", "stestr (>=2.5.0)", "testscenarios (>=0.5.0)", "testtools (>=2.3.0)"]
-toml = ["tomli (>=1.1.0) ; python_version < \"3.11\""]
+toml = ["tomli (>=1.1.0)"]
 yaml = ["PyYAML"]
 
 [[package]]
 name = "boolean-py"
-version = "4.0"
+version = "5.0"
 description = "Define boolean algebras, create and parse boolean expressions and create custom boolean DSL."
 optional = false
 python-versions = "*"
-groups = ["dev"]
 files = [
-    {file = "boolean.py-4.0-py3-none-any.whl", hash = "sha256:2876f2051d7d6394a531d82dc6eb407faa0b01a0a0b3083817ccd7323b8d96bd"},
-    {file = "boolean.py-4.0.tar.gz", hash = "sha256:17b9a181630e43dde1851d42bef546d616d5d9b4480357514597e78b203d06e4"},
+    {file = "boolean_py-5.0-py3-none-any.whl", hash = "sha256:ef28a70bd43115208441b53a045d1549e2f0ec6e3d08a9d142cbc41c1938e8d9"},
+    {file = "boolean_py-5.0.tar.gz", hash = "sha256:60cbc4bad079753721d32649545505362c754e121570ada4658b852a3a318d95"},
 ]
 
+[package.extras]
+dev = ["build", "twine"]
+docs = ["Sphinx (>=3.3.1)", "doc8 (>=0.8.1)", "sphinx-rtd-theme (>=0.5.0)", "sphinxcontrib-apidoc (>=0.3.0)"]
+linting = ["black", "isort", "pycodestyle"]
+testing = ["pytest (>=6,!=7.0.0)", "pytest-xdist (>=2)"]
+
 [[package]]
 name = "boto3"
-version = "1.36.3"
+version = "1.42.30"
 description = "The AWS SDK for Python"
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
+python-versions = ">=3.9"
 files = [
-    {file = "boto3-1.36.3-py3-none-any.whl", hash = "sha256:f9843a5d06f501d66ada06f5a5417f671823af2cf319e36ceefa1bafaaaaa953"},
-    {file = "boto3-1.36.3.tar.gz", hash = "sha256:53a5307f6a3526ee2f8590e3c45efa504a3ea4532c1bfe4926c0c19bf188d141"},
+    {file = "boto3-1.42.30-py3-none-any.whl", hash = "sha256:d7e548bea65e0ae2c465c77de937bc686b591aee6a352d5a19a16bc751e591c1"},
+    {file = "boto3-1.42.30.tar.gz", hash = "sha256:ba9cd2f7819637d15bfbeb63af4c567fcc8a7dcd7b93dd12734ec58601169538"},
 ]
 
 [package.dependencies]
-botocore = ">=1.36.3,<1.37.0"
+botocore = ">=1.42.30,<1.43.0"
 jmespath = ">=0.7.1,<2.0.0"
-s3transfer = ">=0.11.0,<0.12.0"
+s3transfer = ">=0.16.0,<0.17.0"
 
 [package.extras]
 crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.36.3"
+version = "1.42.30"
 description = "Low-level, data-driven core of boto 3."
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
+python-versions = ">=3.9"
 files = [
-    {file = "botocore-1.36.3-py3-none-any.whl", hash = "sha256:536ab828e6f90dbb000e3702ac45fd76642113ae2db1b7b1373ad24104e89255"},
-    {file = "botocore-1.36.3.tar.gz", hash = "sha256:775b835e979da5c96548ed1a0b798101a145aec3cd46541d62e27dda5a94d7f8"},
+    {file = "botocore-1.42.30-py3-none-any.whl", hash = "sha256:97070a438cac92430bb7b65f8ebd7075224f4a289719da4ee293d22d1e98db02"},
+    {file = "botocore-1.42.30.tar.gz", hash = "sha256:9bf1662b8273d5cc3828a49f71ca85abf4e021011c1f0a71f41a2ea5769a5116"},
 ]
 
 [package.dependencies]
@@ -301,18 +327,17 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.23.4)"]
+crt = ["awscrt (==0.29.2)"]
 
 [[package]]
 name = "cachecontrol"
-version = "0.14.2"
+version = "0.14.4"
 description = "httplib2 caching for requests"
 optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
+python-versions = ">=3.10"
 files = [
-    {file = "cachecontrol-0.14.2-py3-none-any.whl", hash = "sha256:ebad2091bf12d0d200dfc2464330db638c5deb41d546f6d7aca079e87290f3b0"},
-    {file = "cachecontrol-0.14.2.tar.gz", hash = "sha256:7d47d19f866409b98ff6025b6a0fca8e4c791fb31abbd95f622093894ce903a2"},
+    {file = "cachecontrol-0.14.4-py3-none-any.whl", hash = "sha256:b7ac014ff72ee199b5f8af1de29d60239954f223e948196fa3d84adaffc71d2b"},
+    {file = "cachecontrol-0.14.4.tar.gz", hash = "sha256:e6220afafa4c22a47dd0badb319f84475d79108100d04e26e8542ef7d3ab05a1"},
 ]
 
 [package.dependencies]
@@ -321,125 +346,137 @@ msgpack = ">=0.5.2,<2.0.0"
 requests = ">=2.16.0"
 
 [package.extras]
-dev = ["CacheControl[filecache,redis]", "build", "cherrypy", "codespell[tomli]", "furo", "mypy", "pytest", "pytest-cov", "ruff", "sphinx", "sphinx-copybutton", "tox", "types-redis", "types-requests"]
+dev = ["cachecontrol[filecache,redis]", "cheroot (>=11.1.2)", "cherrypy", "codespell", "furo", "mypy", "pytest", "pytest-cov", "ruff", "sphinx", "sphinx-copybutton", "types-redis", "types-requests"]
 filecache = ["filelock (>=3.8.0)"]
 redis = ["redis (>=2.10.5)"]
 
 [[package]]
 name = "cachetools"
-version = "5.5.1"
+version = "6.2.4"
 description = "Extensible memoizing collections and decorators"
 optional = false
-python-versions = ">=3.7"
-groups = ["main", "test"]
+python-versions = ">=3.9"
 files = [
-    {file = "cachetools-5.5.1-py3-none-any.whl", hash = "sha256:b76651fdc3b24ead3c648bbdeeb940c1b04d365b38b4af66788f9ec4a81d42bb"},
-    {file = "cachetools-5.5.1.tar.gz", hash = "sha256:70f238fbba50383ef62e55c6aff6d9673175fe59f7c6782c7a0b9e38f4a9df95"},
+    {file = "cachetools-6.2.4-py3-none-any.whl", hash = "sha256:69a7a52634fed8b8bf6e24a050fb60bff1c9bd8f6d24572b99c32d4e71e62a51"},
+    {file = "cachetools-6.2.4.tar.gz", hash = "sha256:82c5c05585e70b6ba2d3ae09ea60b79548872185d2f24ae1f2709d37299fd607"},
 ]
 
 [[package]]
 name = "certifi"
-version = "2024.12.14"
+version = "2026.1.4"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
-python-versions = ">=3.6"
-groups = ["main", "dev"]
+python-versions = ">=3.7"
 files = [
-    {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
-    {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
+    {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"},
+    {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"},
 ]
 
 [[package]]
 name = "cffi"
-version = "1.17.1"
+version = "2.0.0"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "platform_python_implementation == \"PyPy\""
-files = [
-    {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
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 [package.dependencies]
-pycparser = "*"
+pycparser = {version = "*", markers = "implementation_name != \"PyPy\""}
 
 [[package]]
 name = "cfgv"
-version = "3.4.0"
+version = "3.5.0"
 description = "Validate configuration and produce human readable error messages."
 optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
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 files = [
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 [[package]]
@@ -448,7 +485,6 @@ version = "5.2.0"
 description = "Universal encoding detector for Python 3"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev", "test"]
 files = [
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@@ -456,116 +492,135 @@ files = [
 
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 optional = false
 python-versions = ">=3.7"
-groups = ["main", "dev"]
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 [[package]]
 name = "click"
-version = "8.1.8"
+version = "8.3.1"
 description = "Composable command line interface toolkit"
 optional = false
-python-versions = ">=3.7"
-groups = ["main"]
+python-versions = ">=3.10"
 files = [
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 [package.dependencies]
@@ -577,23 +632,20 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
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-markers = {main = "platform_system == \"Windows\" or sys_platform == \"win32\"", dev = "platform_system == \"Windows\""}
 
 [[package]]
 name = "colorlog"
-version = "6.9.0"
+version = "6.10.1"
 description = "Add colours to the output of Python's logging module."
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -604,78 +656,107 @@ development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
 
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 ]
 
 [package.extras]
-toml = ["tomli ; python_full_version <= \"3.11.0a6\""]
+toml = ["tomli"]
 
 [[package]]
 name = "cyclonedx-bom"
@@ -683,7 +764,6 @@ version = "4.6.1"
 description = "CycloneDX Software Bill of Materials (SBOM) generator for Python projects and environments"
 optional = false
 python-versions = "<4.0,>=3.8"
-groups = ["dev"]
 files = [
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@@ -703,7 +783,6 @@ version = "7.6.2"
 description = "Python library for CycloneDX"
 optional = false
 python-versions = "<4.0,>=3.8"
-groups = ["dev"]
 files = [
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@@ -728,7 +807,6 @@ version = "0.6.7"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
 python-versions = "<4.0,>=3.7"
-groups = ["main"]
 files = [
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@@ -744,7 +822,6 @@ version = "0.7.1"
 description = "XML bomb protection for Python stdlib modules"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["dev"]
 files = [
     {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
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@@ -752,14 +829,13 @@ files = [
 
 [[package]]
 name = "distlib"
-version = "0.3.9"
+version = "0.4.0"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
-groups = ["dev", "test"]
 files = [
-    {file = "distlib-0.3.9-py2.py3-none-any.whl", hash = "sha256:47f8c22fd27c27e25a65601af709b38e4f0a45ea4fc2e710f65755fa8caaaf87"},
-    {file = "distlib-0.3.9.tar.gz", hash = "sha256:a60f20dea646b8a33f3e7772f74dc0b2d0772d2837ee1342a00645c81edf9403"},
+    {file = "distlib-0.4.0-py2.py3-none-any.whl", hash = "sha256:9659f7d87e46584a30b5780e43ac7a2143098441670ff0a49d5f9034c54a6c16"},
+    {file = "distlib-0.4.0.tar.gz", hash = "sha256:feec40075be03a04501a973d81f633735b4b69f98b05450592310c0f401a4e0d"},
 ]
 
 [[package]]
@@ -768,7 +844,6 @@ version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
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@@ -780,58 +855,56 @@ version = "0.5"
 description = "Bringing the elegance of C# EventHandler to Python"
 optional = false
 python-versions = "*"
-groups = ["main"]
 files = [
     {file = "Events-0.5-py3-none-any.whl", hash = "sha256:a7286af378ba3e46640ac9825156c93bdba7502174dd696090fdfcd4d80a1abd"},
 ]
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.2"
+version = "1.3.1"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "test"]
-markers = "python_version == \"3.10\""
 files = [
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+    {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"},
+    {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"},
 ]
 
+[package.dependencies]
+typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""}
+
 [package.extras]
 test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.115.6"
+version = "0.115.14"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
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+    {file = "fastapi-0.115.14-py3-none-any.whl", hash = "sha256:6c0c8bf9420bd58f565e585036d971872472b4f7d3f6c73b698e10cffdefb3ca"},
+    {file = "fastapi-0.115.14.tar.gz", hash = "sha256:b1de15cdc1c499a4da47914db35d0e4ef8f1ce62b624e94e0e5824421df99739"},
 ]
 
 [package.dependencies]
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-starlette = ">=0.40.0,<0.42.0"
+starlette = ">=0.40.0,<0.47.0"
 typing-extensions = ">=4.8.0"
 
 [package.extras]
-all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
-standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
 
 [[package]]
 name = "filelock"
-version = "3.20.1"
+version = "3.20.3"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.10"
-groups = ["dev", "test"]
 files = [
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-    {file = "filelock-3.20.1.tar.gz", hash = "sha256:b8360948b351b80f420878d8516519a2204b07aefcdcfd24912a5d33127f188c"},
+    {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"},
+    {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"},
 ]
 
 [[package]]
@@ -840,7 +913,6 @@ version = "1.5.1"
 description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers"
 optional = false
 python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
-groups = ["dev"]
 files = [
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@@ -848,447 +920,443 @@ files = [
 
 [[package]]
 name = "frozenlist"
-version = "1.5.0"
+version = "1.8.0"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
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+    {file = "grpcio-1.76.0-cp39-cp39-win_amd64.whl", hash = "sha256:acab0277c40eff7143c2323190ea57b9ee5fd353d8190ee9652369fae735668a"},
+    {file = "grpcio-1.76.0.tar.gz", hash = "sha256:7be78388d6da1a25c0d5ec506523db58b18be22d9c37d8d3a32c08be4987bd73"},
 ]
 
+[package.dependencies]
+typing-extensions = ">=4.12,<5.0"
+
 [package.extras]
-protobuf = ["grpcio-tools (>=1.69.0)"]
+protobuf = ["grpcio-tools (>=1.76.0)"]
 
 [[package]]
 name = "grpcio-status"
-version = "1.69.0"
+version = "1.76.0"
 description = "Status proto mapping for gRPC"
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
+python-versions = ">=3.9"
 files = [
-    {file = "grpcio_status-1.69.0-py3-none-any.whl", hash = "sha256:d6b2a3c9562c03a817c628d7ba9a925e209c228762d6d7677ae5c9401a542853"},
-    {file = "grpcio_status-1.69.0.tar.gz", hash = "sha256:595ef84e5178d6281caa732ccf68ff83259241608d26b0e9c40a5e66eee2a2d2"},
+    {file = "grpcio_status-1.76.0-py3-none-any.whl", hash = "sha256:380568794055a8efbbd8871162df92012e0228a5f6dffaf57f2a00c534103b18"},
+    {file = "grpcio_status-1.76.0.tar.gz", hash = "sha256:25fcbfec74c15d1a1cb5da3fab8ee9672852dc16a5a9eeb5baf7d7a9952943cd"},
 ]
 
 [package.dependencies]
 googleapis-common-protos = ">=1.5.5"
-grpcio = ">=1.69.0"
-protobuf = ">=5.26.1,<6.0dev"
+grpcio = ">=1.76.0"
+protobuf = ">=6.31.1,<7.0.0"
 
 [[package]]
 name = "h11"
-version = "0.14.0"
+version = "0.16.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
-python-versions = ">=3.7"
-groups = ["main"]
-files = [
-    {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
-    {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
-]
-
-[[package]]
-name = "html5lib"
-version = "1.1"
-description = "HTML parser based on the WHATWG HTML specification"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["dev"]
+python-versions = ">=3.8"
 files = [
-    {file = "html5lib-1.1-py2.py3-none-any.whl", hash = "sha256:0d78f8fde1c230e99fe37986a60526d7049ed4bf8a9fadbad5f00e22e58e041d"},
-    {file = "html5lib-1.1.tar.gz", hash = "sha256:b2e5b40261e20f354d198eae92afc10d750afb487ed5e50f9c4eaf07c184146f"},
+    {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"},
+    {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
 ]
 
-[package.dependencies]
-six = ">=1.9"
-webencodings = "*"
-
-[package.extras]
-all = ["chardet (>=2.2)", "genshi", "lxml ; platform_python_implementation == \"CPython\""]
-chardet = ["chardet (>=2.2)"]
-genshi = ["genshi"]
-lxml = ["lxml ; platform_python_implementation == \"CPython\""]
-
 [[package]]
 name = "httpcore"
-version = "1.0.7"
+version = "1.0.9"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
-    {file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"},
-    {file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"},
+    {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
+    {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"},
 ]
 
 [package.dependencies]
 certifi = "*"
-h11 = ">=0.13,<0.15"
+h11 = ">=0.16"
 
 [package.extras]
 asyncio = ["anyio (>=4.0,<5.0)"]
@@ -1302,7 +1370,6 @@ version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
     {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
@@ -1315,7 +1382,7 @@ httpcore = "==1.*"
 idna = "*"
 
 [package.extras]
-brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
+brotli = ["brotli", "brotlicffi"]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
@@ -1327,7 +1394,6 @@ version = "0.1.4"
 description = "This package provides utilities to add AWS Signature V4 authentication infrormation to calls made by python httpx library."
 optional = false
 python-versions = ">=3.6.2,<4.0"
-groups = ["main"]
 files = [
     {file = "httpx-auth-awssigv4-0.1.4.tar.gz", hash = "sha256:6e8c87c9367896db6eea28a2195cb85a61ddf374cffab2070b2d044c3343625d"},
     {file = "httpx_auth_awssigv4-0.1.4-py3-none-any.whl", hash = "sha256:e58ea5abf976cf4d6ef7643088e8e8002a557ca0520b076c56a9b9a14141bfae"},
@@ -1343,26 +1409,24 @@ test = ["black (>=22.3.0,<23.0.0)", "flake8 (>=3.9.2,<4.0.0)", "flake8-docstring
 
 [[package]]
 name = "httpx-sse"
-version = "0.4.0"
+version = "0.4.3"
 description = "Consume Server-Sent Event (SSE) messages with HTTPX."
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
+python-versions = ">=3.9"
 files = [
-    {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
-    {file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
+    {file = "httpx_sse-0.4.3-py3-none-any.whl", hash = "sha256:0ac1c9fe3c0afad2e0ebb25a934a59f4c7823b60792691f779fad2c5568830fc"},
+    {file = "httpx_sse-0.4.3.tar.gz", hash = "sha256:9b1ed0127459a66014aec3c56bebd93da3c1bc8bb6618c8082039a44889a755d"},
 ]
 
 [[package]]
 name = "identify"
-version = "2.6.6"
+version = "2.6.16"
 description = "File identification library for Python"
 optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
+python-versions = ">=3.10"
 files = [
-    {file = "identify-2.6.6-py2.py3-none-any.whl", hash = "sha256:cbd1810bce79f8b671ecb20f53ee0ae8e86ae84b557de31d89709dc2a48ba881"},
-    {file = "identify-2.6.6.tar.gz", hash = "sha256:7bec12768ed44ea4761efb47806f0a41f86e7c0a5fdf5950d4648c90eca7e251"},
+    {file = "identify-2.6.16-py2.py3-none-any.whl", hash = "sha256:391ee4d77741d994189522896270b787aed8670389bfd60f326d677d64a6dfb0"},
+    {file = "identify-2.6.16.tar.gz", hash = "sha256:846857203b5511bbe94d5a352a48ef2359532bc8f6727b5544077a0dcfb24980"},
 ]
 
 [package.extras]
@@ -1370,14 +1434,13 @@ license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.10"
+version = "3.11"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
-python-versions = ">=3.6"
-groups = ["main", "dev"]
+python-versions = ">=3.8"
 files = [
-    {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
-    {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
+    {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"},
+    {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"},
 ]
 
 [package.extras]
@@ -1385,38 +1448,36 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2
 
 [[package]]
 name = "importlib-metadata"
-version = "8.7.0"
+version = "8.7.1"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
 files = [
-    {file = "importlib_metadata-8.7.0-py3-none-any.whl", hash = "sha256:e5dd1551894c77868a30651cef00984d50e1002d06942a7101d34870c5f02afd"},
-    {file = "importlib_metadata-8.7.0.tar.gz", hash = "sha256:d13b81ad223b890aa16c5471f2ac3056cf76c5f10f82d6f9292f0b415f389000"},
+    {file = "importlib_metadata-8.7.1-py3-none-any.whl", hash = "sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151"},
+    {file = "importlib_metadata-8.7.1.tar.gz", hash = "sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb"},
 ]
 
 [package.dependencies]
 zipp = ">=3.20"
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-enabler = ["pytest-enabler (>=2.2)"]
+enabler = ["pytest-enabler (>=3.4)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
-type = ["pytest-mypy"]
+test = ["flufl.flake8", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+type = ["mypy (<1.19)", "pytest-mypy (>=1.0.1)"]
 
 [[package]]
 name = "iniconfig"
-version = "2.0.0"
+version = "2.3.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
-python-versions = ">=3.7"
-groups = ["test"]
+python-versions = ">=3.10"
 files = [
-    {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
-    {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
+    {file = "iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12"},
+    {file = "iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730"},
 ]
 
 [[package]]
@@ -1425,7 +1486,6 @@ version = "20.11.0"
 description = "Operations with ISO 8601 durations"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
 files = [
     {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"},
     {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"},
@@ -1436,14 +1496,13 @@ arrow = ">=0.15.0"
 
 [[package]]
 name = "jinja2"
-version = "3.1.5"
+version = "3.1.6"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
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-    {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"},
+    {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
+    {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
 ]
 
 [package.dependencies]
@@ -1454,88 +1513,113 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "jiter"
-version = "0.8.2"
+version = "0.12.0"
 description = "Fast iterable JSON parser."
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
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 ]
 
 [[package]]
@@ -1544,7 +1628,6 @@ version = "1.0.1"
 description = "JSON Matching Expressions"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
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@@ -1556,7 +1639,6 @@ 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.*"
-groups = ["main"]
 files = [
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@@ -1571,7 +1653,6 @@ version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "dev"]
 files = [
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@@ -1579,14 +1660,13 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.23.0"
+version = "4.26.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
+python-versions = ">=3.10"
 files = [
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 ]
 
 [package.dependencies]
@@ -1599,24 +1679,23 @@ jsonschema-specifications = ">=2023.03.6"
 referencing = ">=0.28.4"
 rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format\""}
 rfc3987 = {version = "*", optional = true, markers = "extra == \"format\""}
-rpds-py = ">=0.7.1"
+rpds-py = ">=0.25.0"
 uri-template = {version = "*", optional = true, markers = "extra == \"format\""}
 webcolors = {version = ">=1.11", optional = true, markers = "extra == \"format\""}
 
 [package.extras]
 format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
-format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=24.6.0)"]
+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "rfc3987-syntax (>=1.1.0)", "uri-template", "webcolors (>=24.6.0)"]
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2024.10.1"
+version = "2025.9.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
 files = [
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+    {file = "jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe"},
+    {file = "jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d"},
 ]
 
 [package.dependencies]
@@ -1624,55 +1703,63 @@ referencing = ">=0.31.0"
 
 [[package]]
 name = "langchain"
-version = "0.3.15"
+version = "0.3.27"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
-groups = ["main"]
 files = [
-    {file = "langchain-0.3.15-py3-none-any.whl", hash = "sha256:2657735184054cae8181ac43fce6cbc9ee64ca81a2ad2aed3ccd6e5d6fe1f19f"},
-    {file = "langchain-0.3.15.tar.gz", hash = "sha256:1204d67f8469cd8da5621d2b39501650a824d4c0d5a74264dfe3df9a7528897e"},
+    {file = "langchain-0.3.27-py3-none-any.whl", hash = "sha256:7b20c4f338826acb148d885b20a73a16e410ede9ee4f19bb02011852d5f98798"},
+    {file = "langchain-0.3.27.tar.gz", hash = "sha256:aa6f1e6274ff055d0fd36254176770f356ed0a8994297d1df47df341953cec62"},
 ]
 
 [package.dependencies]
-aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.3.31,<0.4.0"
-langchain-text-splitters = ">=0.3.3,<0.4.0"
-langsmith = ">=0.1.17,<0.4"
-numpy = [
-    {version = ">=1.22.4,<2", markers = "python_version < \"3.12\""},
-    {version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""},
-]
+langchain-core = ">=0.3.72,<1.0.0"
+langchain-text-splitters = ">=0.3.9,<1.0.0"
+langsmith = ">=0.1.17"
 pydantic = ">=2.7.4,<3.0.0"
 PyYAML = ">=5.3"
 requests = ">=2,<3"
 SQLAlchemy = ">=1.4,<3"
-tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
+
+[package.extras]
+anthropic = ["langchain-anthropic"]
+aws = ["langchain-aws"]
+azure-ai = ["langchain-azure-ai"]
+cohere = ["langchain-cohere"]
+community = ["langchain-community"]
+deepseek = ["langchain-deepseek"]
+fireworks = ["langchain-fireworks"]
+google-genai = ["langchain-google-genai"]
+google-vertexai = ["langchain-google-vertexai"]
+groq = ["langchain-groq"]
+huggingface = ["langchain-huggingface"]
+mistralai = ["langchain-mistralai"]
+ollama = ["langchain-ollama"]
+openai = ["langchain-openai"]
+perplexity = ["langchain-perplexity"]
+together = ["langchain-together"]
+xai = ["langchain-xai"]
 
 [[package]]
 name = "langchain-community"
-version = "0.3.15"
+version = "0.3.21"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.9"
-groups = ["main"]
 files = [
-    {file = "langchain_community-0.3.15-py3-none-any.whl", hash = "sha256:5b6ac359f75922a826566f94eb9a9b5c763cc78f395f0baf2f5638e62fdae1dd"},
-    {file = "langchain_community-0.3.15.tar.gz", hash = "sha256:c2fee46a0ea1b94c475bd4263edb53d5615dbe37c5263480bf55cb8e465ac235"},
+    {file = "langchain_community-0.3.21-py3-none-any.whl", hash = "sha256:8cb9bbb7ef15e5eea776193528dd0e0e1299047146d0c78b6c696ae2dc62e81f"},
+    {file = "langchain_community-0.3.21.tar.gz", hash = "sha256:b87b9992cbeea7553ed93e3d39faf9893a8690318485f7dc861751c7878729f7"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-httpx-sse = ">=0.4.0,<0.5.0"
-langchain = ">=0.3.15,<0.4.0"
-langchain-core = ">=0.3.31,<0.4.0"
+httpx-sse = ">=0.4.0,<1.0.0"
+langchain = ">=0.3.23,<1.0.0"
+langchain-core = ">=0.3.51,<1.0.0"
 langsmith = ">=0.1.125,<0.4"
-numpy = [
-    {version = ">=1.22.4,<2", markers = "python_version < \"3.12\""},
-    {version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""},
-]
+numpy = ">=1.26.2,<3"
 pydantic-settings = ">=2.4.0,<3.0.0"
 PyYAML = ">=5.3"
 requests = ">=2,<3"
@@ -1680,28 +1767,50 @@ SQLAlchemy = ">=1.4,<3"
 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
-name = "langchain-core"
+name = "langchain-community"
 version = "0.3.31"
-description = "Building applications with LLMs through composability"
+description = "Community contributed LangChain integrations."
 optional = false
-python-versions = "<4.0,>=3.9"
-groups = ["main"]
+python-versions = "<4.0.0,>=3.9.0"
 files = [
-    {file = "langchain_core-0.3.31-py3-none-any.whl", hash = "sha256:882e64ad95887c951dce8e835889e43263b11848c394af3b73e06912624bd743"},
-    {file = "langchain_core-0.3.31.tar.gz", hash = "sha256:5ffa56354c07de9efaa4139609659c63e7d9b29da2c825f6bab9392ec98300df"},
+    {file = "langchain_community-0.3.31-py3-none-any.whl", hash = "sha256:1c727e3ebbacd4d891b07bd440647668001cea3e39cbe732499ad655ec5cb569"},
+    {file = "langchain_community-0.3.31.tar.gz", hash = "sha256:250e4c1041539130f6d6ac6f9386cb018354eafccd917b01a4cff1950b80fd81"},
 ]
 
 [package.dependencies]
-jsonpatch = ">=1.33,<2.0"
-langsmith = ">=0.1.125,<0.4"
-packaging = ">=23.2,<25"
-pydantic = [
-    {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
-    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
+aiohttp = ">=3.8.3,<4.0.0"
+dataclasses-json = ">=0.6.7,<0.7.0"
+httpx-sse = ">=0.4.0,<1.0.0"
+langchain = ">=0.3.27,<2.0.0"
+langchain-core = ">=0.3.78,<2.0.0"
+langsmith = ">=0.1.125,<1.0.0"
+numpy = {version = ">=1.26.2", markers = "python_version < \"3.13\""}
+pydantic-settings = ">=2.10.1,<3.0.0"
+PyYAML = ">=5.3.0,<7.0.0"
+requests = ">=2.32.5,<3.0.0"
+SQLAlchemy = ">=1.4.0,<3.0.0"
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10.0.0"
+
+[[package]]
+name = "langchain-core"
+version = "0.3.83"
+description = "Building applications with LLMs through composability"
+optional = false
+python-versions = "<4.0.0,>=3.9.0"
+files = [
+    {file = "langchain_core-0.3.83-py3-none-any.whl", hash = "sha256:8c92506f8b53fc1958b1c07447f58c5783eb8833dd3cb6dc75607c80891ab1ae"},
+    {file = "langchain_core-0.3.83.tar.gz", hash = "sha256:a0a4c7b6ea1c446d3b432116f405dc2afa1fe7891c44140d3d5acca221909415"},
 ]
-PyYAML = ">=5.3"
+
+[package.dependencies]
+jsonpatch = ">=1.33.0,<2.0.0"
+langsmith = ">=0.3.45,<1.0.0"
+packaging = ">=23.2.0,<26.0.0"
+pydantic = ">=2.7.4,<3.0.0"
+PyYAML = ">=5.3.0,<7.0.0"
 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10.0.0"
-typing-extensions = ">=4.7"
+typing-extensions = ">=4.7.0,<5.0.0"
+uuid-utils = ">=0.12.0,<1.0"
 
 [[package]]
 name = "langchain-openai"
@@ -1709,7 +1818,6 @@ version = "0.2.14"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
-groups = ["main"]
 files = [
     {file = "langchain_openai-0.2.14-py3-none-any.whl", hash = "sha256:d232496662f79ece9a11caf7d798ba863e559c771bc366814f7688e0fe664fe8"},
     {file = "langchain_openai-0.2.14.tar.gz", hash = "sha256:7a514f309e356b182a337c0ed36ab3fbe34d9834a235a3b85cb7f91ae775d978"},
@@ -1726,7 +1834,6 @@ version = "0.0.12"
 description = "An integration package connecting Postgres and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
-groups = ["main"]
 files = [
     {file = "langchain_postgres-0.0.12-py3-none-any.whl", hash = "sha256:b3a8e8fa318ecea1874675ae2bed08fc320e7d4c4f65e016f95808d1164dad51"},
     {file = "langchain_postgres-0.0.12.tar.gz", hash = "sha256:fe44c8073345463720355c86b676c56fc867d5c0995066353f60f2a5d01d0d0d"},
@@ -1742,29 +1849,27 @@ sqlalchemy = ">=2,<3"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.3.5"
+version = "0.3.11"
 description = "LangChain text splitting utilities"
 optional = false
-python-versions = "<4.0,>=3.9"
-groups = ["main"]
+python-versions = ">=3.9"
 files = [
-    {file = "langchain_text_splitters-0.3.5-py3-none-any.whl", hash = "sha256:8c9b059827438c5fa8f327b4df857e307828a5ec815163c9b5c9569a3e82c8ee"},
-    {file = "langchain_text_splitters-0.3.5.tar.gz", hash = "sha256:11cb7ca3694e5bdd342bc16d3875b7f7381651d4a53cbb91d34f22412ae16443"},
+    {file = "langchain_text_splitters-0.3.11-py3-none-any.whl", hash = "sha256:cf079131166a487f1372c8ab5d0bfaa6c0a4291733d9c43a34a16ac9bcd6a393"},
+    {file = "langchain_text_splitters-0.3.11.tar.gz", hash = "sha256:7a50a04ada9a133bbabb80731df7f6ddac51bc9f1b9cab7fa09304d71d38a6cc"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.29,<0.4.0"
+langchain-core = ">=0.3.75,<2.0.0"
 
 [[package]]
 name = "langfuse"
-version = "3.9.0"
+version = "3.12.0"
 description = "A client library for accessing langfuse"
 optional = false
 python-versions = "<4.0,>=3.10"
-groups = ["main"]
 files = [
-    {file = "langfuse-3.9.0-py3-none-any.whl", hash = "sha256:de46c47717822de46ad4a2563be5d775ca896dc4d0955a83b4d12e1ce5e249a9"},
-    {file = "langfuse-3.9.0.tar.gz", hash = "sha256:ed02744ab184a320dba5662be09be21441a467cc84db7e9a67c8bb6baec9fb5c"},
+    {file = "langfuse-3.12.0-py3-none-any.whl", hash = "sha256:644d9bbfa842eb6775b1e069e23f77ad1087f5241682966b8168bbb01f9c357e"},
+    {file = "langfuse-3.12.0.tar.gz", hash = "sha256:0f75b3d21d4ef4014ebeaa8188eb0c855200412b4e4fb8cceca609a7ce465f91"},
 ]
 
 [package.dependencies]
@@ -1781,215 +1886,233 @@ wrapt = ">=1.14,<2.0"
 
 [[package]]
 name = "langsmith"
-version = "0.3.0"
+version = "0.3.45"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
-python-versions = "<4.0,>=3.9"
-groups = ["main"]
+python-versions = ">=3.9"
 files = [
-    {file = "langsmith-0.3.0-py3-none-any.whl", hash = "sha256:dff7d4fc507acfcb790c77e2d58b4c687101daf306195b08bac66c56a0a82d5c"},
-    {file = "langsmith-0.3.0.tar.gz", hash = "sha256:601addc2cc6bddd5aee32bf94bd6729c94b5e50da72a091f6285fca1a9cf18ef"},
+    {file = "langsmith-0.3.45-py3-none-any.whl", hash = "sha256:5b55f0518601fa65f3bb6b1a3100379a96aa7b3ed5e9380581615ba9c65ed8ed"},
+    {file = "langsmith-0.3.45.tar.gz", hash = "sha256:1df3c6820c73ed210b2c7bc5cdb7bfa19ddc9126cd03fdf0da54e2e171e6094d"},
 ]
 
 [package.dependencies]
 httpx = ">=0.23.0,<1"
 orjson = {version = ">=3.9.14,<4.0.0", markers = "platform_python_implementation != \"PyPy\""}
-pydantic = [
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-    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
-]
+packaging = ">=23.2"
+pydantic = {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""}
 requests = ">=2,<3"
 requests-toolbelt = ">=1.0.0,<2.0.0"
 zstandard = ">=0.23.0,<0.24.0"
 
 [package.extras]
 langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
+openai-agents = ["openai-agents (>=0.0.3,<0.1)"]
+otel = ["opentelemetry-api (>=1.30.0,<2.0.0)", "opentelemetry-exporter-otlp-proto-http (>=1.30.0,<2.0.0)", "opentelemetry-sdk (>=1.30.0,<2.0.0)"]
 pytest = ["pytest (>=7.0.0)", "rich (>=13.9.4,<14.0.0)"]
 
+[[package]]
+name = "langsmith"
+version = "0.6.4"
+description = "Client library to connect to the LangSmith Observability and Evaluation Platform."
+optional = false
+python-versions = ">=3.10"
+files = [
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+    {file = "langsmith-0.6.4.tar.gz", hash = "sha256:36f7223a01c218079fbb17da5e536ebbaf5c1468c028abe070aa3ae59bc99ec8"},
+]
+
+[package.dependencies]
+httpx = ">=0.23.0,<1"
+orjson = {version = ">=3.9.14", markers = "platform_python_implementation != \"PyPy\""}
+packaging = ">=23.2"
+pydantic = ">=2,<3"
+requests = ">=2.0.0"
+requests-toolbelt = ">=1.0.0"
+uuid-utils = ">=0.12.0,<1.0"
+zstandard = ">=0.23.0"
+
+[package.extras]
+claude-agent-sdk = ["claude-agent-sdk (>=0.1.0)"]
+langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2)"]
+openai-agents = ["openai-agents (>=0.0.3)"]
+otel = ["opentelemetry-api (>=1.30.0)", "opentelemetry-exporter-otlp-proto-http (>=1.30.0)", "opentelemetry-sdk (>=1.30.0)"]
+pytest = ["pytest (>=7.0.0)", "rich (>=13.9.4)", "vcrpy (>=7.0.0)"]
+vcr = ["vcrpy (>=7.0.0)"]
+
 [[package]]
 name = "license-expression"
-version = "30.4.1"
+version = "30.4.4"
 description = "license-expression is a comprehensive utility library to parse, compare, simplify and normalize license expressions (such as SPDX license expressions) using boolean logic."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
 files = [
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 ]
 
 [package.dependencies]
 "boolean.py" = ">=4.0"
 
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-testing = ["black", "isort", "pytest (>=6,!=7.0.0)", "pytest-xdist (>=2)", "twine"]
+dev = ["Sphinx (>=5.0.2)", "doc8 (>=0.11.2)", "pytest (>=7.0.1)", "pytest-xdist (>=2)", "ruff", "sphinx-autobuild", "sphinx-copybutton", "sphinx-reredirects (>=0.1.2)", "sphinx-rtd-dark-mode (>=1.3.0)", "sphinx-rtd-theme (>=1.0.0)", "sphinxcontrib-apidoc (>=0.4.0)", "twine"]
 
 [[package]]
 name = "lxml"
-version = "5.3.0"
+version = "5.4.0"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 optional = false
 python-versions = ">=3.6"
-groups = ["dev"]
-files = [
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 [package.dependencies]
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 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
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 [package.dependencies]
@@ -2289,26 +2486,24 @@ typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "mypy-extensions"
-version = "1.0.0"
+version = "1.1.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
-python-versions = ">=3.5"
-groups = ["main"]
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "nodeenv"
-version = "1.9.1"
+version = "1.10.0"
 description = "Node.js virtual environment builder"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
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 files = [
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 ]
 
 [[package]]
@@ -2317,7 +2512,6 @@ version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
 files = [
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@@ -2359,14 +2553,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.59.9"
+version = "1.109.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -2380,8 +2573,10 @@ tqdm = ">4"
 typing-extensions = ">=4.11,<5"
 
 [package.extras]
+aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
-realtime = ["websockets (>=13,<15)"]
+realtime = ["websockets (>=13,<16)"]
+voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"]
 
 [[package]]
 name = "opensearch-py"
@@ -2389,7 +2584,6 @@ version = "2.8.0"
 description = "Python client for OpenSearch"
 optional = false
 python-versions = "<4,>=3.8"
-groups = ["main"]
 files = [
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@@ -2410,14 +2604,13 @@ kerberos = ["requests_kerberos"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.38.0"
+version = "1.39.1"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -2426,50 +2619,50 @@ typing-extensions = ">=4.5.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.38.0"
+version = "1.39.1"
 description = "OpenTelemetry Protobuf encoding"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
-opentelemetry-proto = "1.38.0"
+opentelemetry-proto = "1.39.1"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-http"
-version = "1.38.0"
+version = "1.39.1"
 description = "OpenTelemetry Collector Protobuf over HTTP Exporter"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
 files = [
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+    {file = "opentelemetry_exporter_otlp_proto_http-1.39.1.tar.gz", hash = "sha256:31bdab9745c709ce90a49a0624c2bd445d31a28ba34275951a6a362d16a0b9cb"},
 ]
 
 [package.dependencies]
 googleapis-common-protos = ">=1.52,<2.0"
 opentelemetry-api = ">=1.15,<2.0"
-opentelemetry-exporter-otlp-proto-common = "1.38.0"
-opentelemetry-proto = "1.38.0"
-opentelemetry-sdk = ">=1.38.0,<1.39.0"
+opentelemetry-exporter-otlp-proto-common = "1.39.1"
+opentelemetry-proto = "1.39.1"
+opentelemetry-sdk = ">=1.39.1,<1.40.0"
 requests = ">=2.7,<3.0"
 typing-extensions = ">=4.5.0"
 
+[package.extras]
+gcp-auth = ["opentelemetry-exporter-credential-provider-gcp (>=0.59b0)"]
+
 [[package]]
 name = "opentelemetry-proto"
-version = "1.38.0"
+version = "1.39.1"
 description = "OpenTelemetry Python Proto"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
 files = [
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+    {file = "opentelemetry_proto-1.39.1-py3-none-any.whl", hash = "sha256:22cdc78efd3b3765d09e68bfbd010d4fc254c9818afd0b6b423387d9dee46007"},
+    {file = "opentelemetry_proto-1.39.1.tar.gz", hash = "sha256:6c8e05144fc0d3ed4d22c2289c6b126e03bcd0e6a7da0f16cedd2e1c2772e2c8"},
 ]
 
 [package.dependencies]
@@ -2477,137 +2670,140 @@ protobuf = ">=5.0,<7.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.38.0"
+version = "1.39.1"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
 files = [
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+    {file = "opentelemetry_sdk-1.39.1-py3-none-any.whl", hash = "sha256:4d5482c478513ecb0a5d938dcc61394e647066e0cc2676bee9f3af3f3f45f01c"},
+    {file = "opentelemetry_sdk-1.39.1.tar.gz", hash = "sha256:cf4d4563caf7bff906c9f7967e2be22d0d6b349b908be0d90fb21c8e9c995cc6"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.38.0"
-opentelemetry-semantic-conventions = "0.59b0"
+opentelemetry-api = "1.39.1"
+opentelemetry-semantic-conventions = "0.60b1"
 typing-extensions = ">=4.5.0"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.59b0"
+version = "0.60b1"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
-opentelemetry-api = "1.38.0"
+opentelemetry-api = "1.39.1"
 typing-extensions = ">=4.5.0"
 
 [[package]]
 name = "orjson"
-version = "3.10.15"
+version = "3.11.5"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "platform_python_implementation != \"PyPy\""
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+    {file = "orjson-3.11.5-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:5f691263425d3177977c8d1dd896cde7b98d93cbf390b2544a090675e83a6a0a"},
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+    {file = "orjson-3.11.5.tar.gz", hash = "sha256:82393ab47b4fe44ffd0a7659fa9cfaacc717eb617c93cde83795f14af5c2e9d5"},
 ]
 
 [[package]]
 name = "packageurl-python"
-version = "0.16.0"
+version = "0.17.6"
 description = "A purl aka. Package URL parser and builder"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
-    {file = "packageurl_python-0.16.0-py3-none-any.whl", hash = "sha256:5c3872638b177b0f1cf01c3673017b7b27ebee485693ae12a8bed70fa7fa7c35"},
-    {file = "packageurl_python-0.16.0.tar.gz", hash = "sha256:69e3bf8a3932fe9c2400f56aaeb9f86911ecee2f9398dbe1b58ec34340be365d"},
+    {file = "packageurl_python-0.17.6-py3-none-any.whl", hash = "sha256:31a85c2717bc41dd818f3c62908685ff9eebcb68588213745b14a6ee9e7df7c9"},
+    {file = "packageurl_python-0.17.6.tar.gz", hash = "sha256:1252ce3a102372ca6f86eb968e16f9014c4ba511c5c37d95a7f023e2ca6e5c25"},
 ]
 
 [package.extras]
@@ -2622,7 +2818,6 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev", "test"]
 files = [
     {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
     {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
@@ -2630,43 +2825,29 @@ files = [
 
 [[package]]
 name = "path"
-version = "17.1.0"
+version = "17.1.1"
 description = "A module wrapper for os.path"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
 files = [
-    {file = "path-17.1.0-py3-none-any.whl", hash = "sha256:688e7ec254f07a1c25f5474662d4480c663a2c8c4eb15c0ba056d8ab81608d22"},
-    {file = "path-17.1.0.tar.gz", hash = "sha256:d41e05ed4fa1d4f6d702df3c1e0a1a255d7b544287432456455dc7c51e5f98e9"},
+    {file = "path-17.1.1-py3-none-any.whl", hash = "sha256:ec7e136df29172e5030dd07e037d55f676bdb29d15bfa09b80da29d07d3b9303"},
+    {file = "path-17.1.1.tar.gz", hash = "sha256:2dfcbfec8b4d960f3469c52acf133113c2a8bf12ac7b98d629fa91af87248d42"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["appdirs", "more_itertools", "packaging", "pygments", "pytest (>=6,!=8.1.*)", "pywin32 ; platform_system == \"Windows\" and python_version < \"3.12\""]
+test = ["appdirs", "more_itertools", "packaging", "pygments", "pytest (>=6,!=8.1.*)", "pywin32", "types-pywin32"]
 type = ["pytest-mypy"]
 
-[[package]]
-name = "pbr"
-version = "6.1.0"
-description = "Python Build Reasonableness"
-optional = false
-python-versions = ">=2.6"
-groups = ["dev"]
-files = [
-    {file = "pbr-6.1.0-py2.py3-none-any.whl", hash = "sha256:a776ae228892d8013649c0aeccbb3d5f99ee15e005a4cbb7e61d55a067b28a2a"},
-    {file = "pbr-6.1.0.tar.gz", hash = "sha256:788183e382e3d1d7707db08978239965e8b9e4e5ed42669bf4758186734d5f24"},
-]
-
 [[package]]
 name = "pgvector"
 version = "0.2.5"
 description = "pgvector support for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
 files = [
     {file = "pgvector-0.2.5-py2.py3-none-any.whl", hash = "sha256:5e5e93ec4d3c45ab1fa388729d56c602f6966296e19deee8878928c6d567e41b"},
 ]
@@ -2676,14 +2857,13 @@ numpy = "*"
 
 [[package]]
 name = "pip"
-version = "24.3.1"
+version = "25.3"
 description = "The PyPA recommended tool for installing Python packages."
 optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
+python-versions = ">=3.9"
 files = [
-    {file = "pip-24.3.1-py3-none-any.whl", hash = "sha256:3790624780082365f47549d032f3770eeb2b1e8bd1f7b2e02dace1afa361b4ed"},
-    {file = "pip-24.3.1.tar.gz", hash = "sha256:ebcb60557f2aefabc2e0f918751cd24ea0d56d8ec5445fe1807f1d2109660b99"},
+    {file = "pip-25.3-py3-none-any.whl", hash = "sha256:9655943313a94722b7774661c21049070f6bbb0a1516bf02f7c8d5d9201514cd"},
+    {file = "pip-25.3.tar.gz", hash = "sha256:8d0538dbbd7babbd207f261ed969c65de439f6bc9e5dbd3b3b9a77f25d95f343"},
 ]
 
 [[package]]
@@ -2692,7 +2872,6 @@ version = "0.0.34"
 description = "An unofficial, importable pip API"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
     {file = "pip_api-0.0.34-py3-none-any.whl", hash = "sha256:8b2d7d7c37f2447373aa2cf8b1f60a2f2b27a84e1e9e0294a3f6ef10eb3ba6bb"},
     {file = "pip_api-0.0.34.tar.gz", hash = "sha256:9b75e958f14c5a2614bae415f2adf7eeb54d50a2cfbe7e24fd4826471bac3625"},
@@ -2703,32 +2882,33 @@ pip = "*"
 
 [[package]]
 name = "pip-audit"
-version = "2.7.3"
+version = "2.10.0"
 description = "A tool for scanning Python environments for known vulnerabilities"
 optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
+python-versions = ">=3.10"
 files = [
-    {file = "pip_audit-2.7.3-py3-none-any.whl", hash = "sha256:46a11faee3323f76adf7987de8171daeb660e8f57d8088cc27fb1c1e5c7747b0"},
-    {file = "pip_audit-2.7.3.tar.gz", hash = "sha256:08891bbf179bffe478521f150818112bae998424f58bf9285c0078965aef38bc"},
+    {file = "pip_audit-2.10.0-py3-none-any.whl", hash = "sha256:16e02093872fac97580303f0848fa3ad64f7ecf600736ea7835a2b24de49613f"},
+    {file = "pip_audit-2.10.0.tar.gz", hash = "sha256:427ea5bf61d1d06b98b1ae29b7feacc00288a2eced52c9c58ceed5253ef6c2a4"},
 ]
 
 [package.dependencies]
 CacheControl = {version = ">=0.13.0", extras = ["filecache"]}
-cyclonedx-python-lib = ">=5,<8"
-html5lib = ">=1.1"
+cyclonedx-python-lib = ">=5,<12"
 packaging = ">=23.0.0"
 pip-api = ">=0.0.28"
 pip-requirements-parser = ">=32.0.0"
+platformdirs = ">=4.2.0"
 requests = ">=2.31.0"
 rich = ">=12.4"
-toml = ">=0.10"
+tomli = ">=2.2.1"
+tomli-w = ">=1.2.0"
 
 [package.extras]
-dev = ["build", "bump (>=1.3.2)", "pip-audit[doc,lint,test]"]
+cov = ["coverage[toml] (>=7.0,!=7.3.3,<8.0)"]
+dev = ["build", "pip-audit[doc,lint,test]"]
 doc = ["pdoc"]
-lint = ["interrogate", "mypy", "ruff (<0.4.3)", "setuptools", "types-html5lib", "types-requests", "types-toml"]
-test = ["coverage[toml] (>=7.0,!=7.3.3,<8.0)", "pretend", "pytest", "pytest-cov"]
+lint = ["interrogate (>=1.6,<2.0)", "mypy", "ruff (>=0.11)", "types-requests", "types-toml"]
+test = ["pip-audit[cov]", "pretend", "pytest"]
 
 [[package]]
 name = "pip-requirements-parser"
@@ -2736,7 +2916,6 @@ version = "32.0.1"
 description = "pip requirements parser - a mostly correct pip requirements parsing library because it uses pip's own code."
 optional = false
 python-versions = ">=3.6.0"
-groups = ["dev"]
 files = [
     {file = "pip-requirements-parser-32.0.1.tar.gz", hash = "sha256:b4fa3a7a0be38243123cf9d1f3518da10c51bdb165a2b2985566247f9155a7d3"},
     {file = "pip_requirements_parser-32.0.1-py3-none-any.whl", hash = "sha256:4659bc2a667783e7a15d190f6fccf8b2486685b6dba4c19c3876314769c57526"},
@@ -2752,47 +2931,44 @@ testing = ["aboutcode-toolkit (>=6.0.0)", "black", "pytest (>=6,!=7.0.0)", "pyte
 
 [[package]]
 name = "platformdirs"
-version = "4.3.6"
+version = "4.5.1"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
-python-versions = ">=3.8"
-groups = ["dev", "test"]
+python-versions = ">=3.10"
 files = [
-    {file = "platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb"},
-    {file = "platformdirs-4.3.6.tar.gz", hash = "sha256:357fb2acbc885b0419afd3ce3ed34564c13c9b95c89360cd9563f73aa5e2b907"},
+    {file = "platformdirs-4.5.1-py3-none-any.whl", hash = "sha256:d03afa3963c806a9bed9d5125c8f4cb2fdaf74a55ab60e5d59b3fde758104d31"},
+    {file = "platformdirs-4.5.1.tar.gz", hash = "sha256:61d5cdcc6065745cdd94f0f878977f8de9437be93de97c1c12f853c9c0cdcbda"},
 ]
 
 [package.extras]
-docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"]
-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"]
-type = ["mypy (>=1.11.2)"]
+docs = ["furo (>=2025.9.25)", "proselint (>=0.14)", "sphinx (>=8.2.3)", "sphinx-autodoc-typehints (>=3.2)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.4.2)", "pytest-cov (>=7)", "pytest-mock (>=3.15.1)"]
+type = ["mypy (>=1.18.2)"]
 
 [[package]]
 name = "pluggy"
-version = "1.5.0"
+version = "1.6.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
-python-versions = ">=3.8"
-groups = ["test"]
+python-versions = ">=3.9"
 files = [
-    {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
-    {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
+    {file = "pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746"},
+    {file = "pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3"},
 ]
 
 [package.extras]
 dev = ["pre-commit", "tox"]
-testing = ["pytest", "pytest-benchmark"]
+testing = ["coverage", "pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pre-commit"
-version = "4.1.0"
+version = "4.5.1"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
+python-versions = ">=3.10"
 files = [
-    {file = "pre_commit-4.1.0-py2.py3-none-any.whl", hash = "sha256:d29e7cb346295bcc1cc75fc3e92e343495e3ea0196c9ec6ba53f49f10ab6ae7b"},
-    {file = "pre_commit-4.1.0.tar.gz", hash = "sha256:ae3f018575a588e30dfddfab9a05448bfbd6b73d78709617b5a2b853549716d4"},
+    {file = "pre_commit-4.5.1-py2.py3-none-any.whl", hash = "sha256:3b3afd891e97337708c1674210f8eba659b52a38ea5f822ff142d10786221f77"},
+    {file = "pre_commit-4.5.1.tar.gz", hash = "sha256:eb545fcff725875197837263e977ea257a402056661f09dae08e4b149b030a61"},
 ]
 
 [package.dependencies]
@@ -2804,258 +2980,282 @@ virtualenv = ">=20.10.0"
 
 [[package]]
 name = "propcache"
-version = "0.2.1"
+version = "0.4.1"
 description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-files = [
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 [package.dependencies]
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+typing-extensions = ">=4.14.1"
 
 [[package]]
 name = "pydantic-settings"
-version = "2.7.1"
+version = "2.12.0"
 description = "Settings management using Pydantic"
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
+python-versions = ">=3.10"
 files = [
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 ]
 
 [package.dependencies]
 pydantic = ">=2.7.0"
 python-dotenv = ">=0.21.0"
+typing-inspection = ">=0.4.0"
 
 [package.extras]
+aws-secrets-manager = ["boto3 (>=1.35.0)", "boto3-stubs[secretsmanager]"]
 azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0)"]
+gcp-secret-manager = ["google-cloud-secret-manager (>=2.23.1)"]
 toml = ["tomli (>=2.0.1)"]
 yaml = ["pyyaml (>=6.0.1)"]
 
 [[package]]
 name = "pygments"
-version = "2.19.1"
+version = "2.19.2"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
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 ]
 
 [package.extras]
@@ -3276,14 +3493,13 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pyparsing"
-version = "3.2.1"
-description = "pyparsing module - Classes and methods to define and execute parsing grammars"
+version = "3.3.1"
+description = "pyparsing - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
 files = [
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 ]
 
 [package.extras]
@@ -3295,7 +3511,6 @@ version = "1.9.0"
 description = "API to interact with the python pyproject.toml based projects"
 optional = false
 python-versions = ">=3.9"
-groups = ["test"]
 files = [
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@@ -3311,37 +3526,36 @@ testing = ["covdefaults (>=2.3)", "pytest (>=8.3.4)", "pytest-cov (>=6)", "pytes
 
 [[package]]
 name = "pytest"
-version = "8.3.4"
+version = "8.4.2"
 description = "pytest: simple powerful testing with Python"
 optional = false
-python-versions = ">=3.8"
-groups = ["test"]
+python-versions = ">=3.9"
 files = [
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+    {file = "pytest-8.4.2.tar.gz", hash = "sha256:86c0d0b93306b961d58d62a4db4879f27fe25513d4b969df351abdddb3c30e01"},
 ]
 
 [package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
-iniconfig = "*"
-packaging = "*"
+colorama = {version = ">=0.4", markers = "sys_platform == \"win32\""}
+exceptiongroup = {version = ">=1", markers = "python_version < \"3.11\""}
+iniconfig = ">=1"
+packaging = ">=20"
 pluggy = ">=1.5,<2"
+pygments = ">=2.7.2"
 tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-asyncio"
-version = "0.25.2"
+version = "0.25.3"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.9"
-groups = ["test"]
 files = [
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+    {file = "pytest_asyncio-0.25.3-py3-none-any.whl", hash = "sha256:9e89518e0f9bd08928f97a3482fdc4e244df17529460bc038291ccaf8f85c7c3"},
+    {file = "pytest_asyncio-0.25.3.tar.gz", hash = "sha256:fc1da2cf9f125ada7e710b4ddad05518d4cee187ae9412e9ac9271003497f07a"},
 ]
 
 [package.dependencies]
@@ -3357,7 +3571,6 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["main", "dev"]
 files = [
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@@ -3368,14 +3581,13 @@ six = ">=1.5"
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.1"
+version = "1.2.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
+python-versions = ">=3.9"
 files = [
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-    {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
+    {file = "python_dotenv-1.2.1-py3-none-any.whl", hash = "sha256:b81ee9561e9ca4004139c6cbba3a238c32b03e4894671e181b671e8cb8425d61"},
+    {file = "python_dotenv-1.2.1.tar.gz", hash = "sha256:42667e897e16ab0d66954af0e60a9caa94f0fd4ecf3aaf6d2d260eec1aa36ad6"},
 ]
 
 [package.extras]
@@ -3383,77 +3595,95 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "pyyaml"
-version = "6.0.2"
+version = "6.0.3"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
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 [[package]]
 name = "requests"
-version = "2.32.3"
+version = "2.32.5"
 description = "Python HTTP for Humans."
 optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev"]
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
 certifi = ">=2017.4.17"
-charset-normalizer = ">=2,<4"
+charset_normalizer = ">=2,<4"
 idna = ">=2.5,<4"
 urllib3 = ">=1.21.1,<3"
 
@@ -3593,7 +3858,6 @@ version = "1.0.0"
 description = "A utility belt for advanced users of python-requests"
 optional = false
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-groups = ["main"]
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@@ -3608,7 +3872,6 @@ version = "0.1.4"
 description = "A pure python RFC3339 validator"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["dev"]
 files = [
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@@ -3623,7 +3886,6 @@ version = "1.3.8"
 description = "Parsing and validation of URIs (RFC 3986) and IRIs (RFC 3987)"
 optional = false
 python-versions = "*"
-groups = ["dev"]
 files = [
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@@ -3631,147 +3893,155 @@ files = [
 
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 name = "rich"
-version = "13.9.4"
+version = "14.2.0"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
 python-versions = ">=3.8.0"
-groups = ["dev"]
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 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
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+version = "0.30.0"
 description = "Python bindings to Rust's persistent data structures (rpds)"
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 [[package]]
 name = "rsa"
-version = "4.9"
+version = "4.9.1"
 description = "Pure-Python RSA implementation"
 optional = false
-python-versions = ">=3.6,<4"
-groups = ["main"]
+python-versions = "<4,>=3.6"
 files = [
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 ]
 
 [package.dependencies]
@@ -3779,21 +4049,20 @@ pyasn1 = ">=0.1.3"
 
 [[package]]
 name = "s3transfer"
-version = "0.11.1"
+version = "0.16.0"
 description = "An Amazon S3 Transfer Manager"
 optional = false
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-groups = ["main"]
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 ]
 
 [package.dependencies]
-botocore = ">=1.36.0,<2.0a.0"
+botocore = ">=1.37.4,<2.0a.0"
 
 [package.extras]
-crt = ["botocore[crt] (>=1.36.0,<2.0a.0)"]
+crt = ["botocore[crt] (>=1.37.4,<2.0a.0)"]
 
 [[package]]
 name = "six"
@@ -3801,7 +4070,6 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["main", "dev"]
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@@ -3813,7 +4081,6 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
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@@ -3825,7 +4092,6 @@ version = "2.4.0"
 description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
 optional = false
 python-versions = "*"
-groups = ["dev"]
 files = [
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@@ -3833,81 +4099,75 @@ files = [
 
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 description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
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 typing-extensions = ">=4.6.0"
 
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-aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
-aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
-aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
-asyncio = ["greenlet (!=0.4.17)"]
-asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
+aiomysql = ["aiomysql (>=0.2.0)", "greenlet (>=1)"]
+aioodbc = ["aioodbc", "greenlet (>=1)"]
+aiosqlite = ["aiosqlite", "greenlet (>=1)", "typing_extensions (!=3.10.0.1)"]
+asyncio = ["greenlet (>=1)"]
+asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (>=1)"]
 mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5,!=1.1.10)"]
 mssql = ["pyodbc"]
 mssql-pymssql = ["pymssql"]
@@ -3918,7 +4178,7 @@ mysql-connector = ["mysql-connector-python"]
 oracle = ["cx_oracle (>=8)"]
 oracle-oracledb = ["oracledb (>=1.0.1)"]
 postgresql = ["psycopg2 (>=2.7)"]
-postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
+postgresql-asyncpg = ["asyncpg", "greenlet (>=1)"]
 postgresql-pg8000 = ["pg8000 (>=1.29.1)"]
 postgresql-psycopg = ["psycopg (>=3.0.7)"]
 postgresql-psycopg2binary = ["psycopg2-binary"]
@@ -3929,47 +4189,41 @@ sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "starlette"
-version = "0.41.3"
+version = "0.46.2"
 description = "The little ASGI library that shines."
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
+python-versions = ">=3.9"
 files = [
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+    {file = "starlette-0.46.2.tar.gz", hash = "sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5"},
 ]
 
 [package.dependencies]
-anyio = ">=3.4.0,<5"
+anyio = ">=3.6.2,<5"
 
 [package.extras]
-full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"]
+full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"]
 
 [[package]]
 name = "stevedore"
-version = "5.4.0"
+version = "5.6.0"
 description = "Manage dynamic plugins for Python applications"
 optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
+python-versions = ">=3.10"
 files = [
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 ]
 
-[package.dependencies]
-pbr = ">=2.0.0"
-
 [[package]]
 name = "tenacity"
-version = "9.0.0"
+version = "9.1.2"
 description = "Retry code until it succeeds"
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
+python-versions = ">=3.9"
 files = [
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+    {file = "tenacity-9.1.2.tar.gz", hash = "sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb"},
 ]
 
 [package.extras]
@@ -3982,7 +4236,6 @@ version = "0.8.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
 files = [
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@@ -4024,75 +4277,86 @@ requests = ">=2.26.0"
 [package.extras]
 blobfile = ["blobfile (>=2)"]
 
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-version = "0.10.2"
-description = "Python Library for Tom's Obvious, Minimal Language"
-optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
-groups = ["dev"]
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-]
-
 [[package]]
 name = "tomli"
-version = "2.2.1"
+version = "2.4.0"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "test"]
-markers = "python_version == \"3.10\""
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+    {file = "tomli-2.4.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0f2e3955efea4d1cfbcb87bc321e00dc08d2bcb737fd1d5e398af111d86db5df"},
+    {file = "tomli-2.4.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0e0fe8a0b8312acf3a88077a0802565cb09ee34107813bba1c7cd591fa6cfc8d"},
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+    {file = "tomli-2.4.0-cp314-cp314t-win32.whl", hash = "sha256:d878f2a6707cc9d53a1be1414bbb419e629c3d6e67f69230217bb663e76b5087"},
+    {file = "tomli-2.4.0-cp314-cp314t-win_amd64.whl", hash = "sha256:2add28aacc7425117ff6364fe9e06a183bb0251b03f986df0e78e974047571fd"},
+    {file = "tomli-2.4.0-cp314-cp314t-win_arm64.whl", hash = "sha256:2b1e3b80e1d5e52e40e9b924ec43d81570f0e7d09d11081b797bc4692765a3d4"},
+    {file = "tomli-2.4.0-py3-none-any.whl", hash = "sha256:1f776e7d669ebceb01dee46484485f43a4048746235e683bcdffacdf1fb4785a"},
+    {file = "tomli-2.4.0.tar.gz", hash = "sha256:aa89c3f6c277dd275d8e243ad24f3b5e701491a860d5121f2cdd399fbb31fc9c"},
+]
+
+[[package]]
+name = "tomli-w"
+version = "1.2.0"
+description = "A lil' TOML writer"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "tomli_w-1.2.0-py3-none-any.whl", hash = "sha256:188306098d013b691fcadc011abd66727d3c414c571bb01b1a174ba8c983cf90"},
+    {file = "tomli_w-1.2.0.tar.gz", hash = "sha256:2dd14fac5a47c27be9cd4c976af5a12d87fb1f0b4512f81d69cce3b35ae25021"},
 ]
 
 [[package]]
 name = "tox"
-version = "4.24.1"
+version = "4.27.0"
 description = "tox is a generic virtualenv management and test command line tool"
 optional = false
-python-versions = ">=3.8"
-groups = ["test"]
+python-versions = ">=3.9"
 files = [
-    {file = "tox-4.24.1-py3-none-any.whl", hash = "sha256:57ba7df7d199002c6df8c2db9e6484f3de6ca8f42013c083ea2d4d1e5c6bdc75"},
-    {file = "tox-4.24.1.tar.gz", hash = "sha256:083a720adbc6166fff0b7d1df9d154f9d00bfccb9403b8abf6bc0ee435d6a62e"},
+    {file = "tox-4.27.0-py3-none-any.whl", hash = "sha256:2b8a7fb986b82aa2c830c0615082a490d134e0626dbc9189986da46a313c4f20"},
+    {file = "tox-4.27.0.tar.gz", hash = "sha256:b97d5ecc0c0d5755bcc5348387fef793e1bfa68eb33746412f4c60881d7f5f57"},
 ]
 
 [package.dependencies]
-cachetools = ">=5.5"
+cachetools = ">=5.5.1"
 chardet = ">=5.2"
 colorama = ">=0.4.6"
 filelock = ">=3.16.1"
@@ -4100,12 +4364,12 @@ packaging = ">=24.2"
 platformdirs = ">=4.3.6"
 pluggy = ">=1.5"
 pyproject-api = ">=1.8"
-tomli = {version = ">=2.1", markers = "python_version < \"3.11\""}
+tomli = {version = ">=2.2.1", markers = "python_version < \"3.11\""}
 typing-extensions = {version = ">=4.12.2", markers = "python_version < \"3.11\""}
-virtualenv = ">=20.27.1"
+virtualenv = ">=20.31"
 
 [package.extras]
-test = ["devpi-process (>=1.0.2)", "pytest (>=8.3.3)", "pytest-mock (>=3.14)"]
+test = ["devpi-process (>=1.0.2)", "pytest (>=8.3.4)", "pytest-mock (>=3.14)"]
 
 [[package]]
 name = "tqdm"
@@ -4113,7 +4377,6 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
 files = [
     {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
     {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
@@ -4129,30 +4392,16 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
-[[package]]
-name = "types-python-dateutil"
-version = "2.9.0.20241206"
-description = "Typing stubs for python-dateutil"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
-    {file = "types_python_dateutil-2.9.0.20241206-py3-none-any.whl", hash = "sha256:e248a4bc70a486d3e3ec84d0dc30eec3a5f979d6e7ee4123ae043eedbb987f53"},
-    {file = "types_python_dateutil-2.9.0.20241206.tar.gz", hash = "sha256:18f493414c26ffba692a72369fea7a154c502646301ebfe3d56a04b3767284cb"},
-]
-
 [[package]]
 name = "typing-extensions"
-version = "4.12.2"
-description = "Backported and Experimental Type Hints for Python 3.8+"
+version = "4.15.0"
+description = "Backported and Experimental Type Hints for Python 3.9+"
 optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev", "test"]
+python-versions = ">=3.9"
 files = [
-    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
-    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
+    {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"},
+    {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"},
 ]
-markers = {dev = "python_version <= \"3.12\"", test = "python_version == \"3.10\""}
 
 [[package]]
 name = "typing-inspect"
@@ -4160,7 +4409,6 @@ version = "0.9.0"
 description = "Runtime inspection utilities for typing module."
 optional = false
 python-versions = "*"
-groups = ["main"]
 files = [
     {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
     {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"},
@@ -4170,17 +4418,29 @@ files = [
 mypy-extensions = ">=0.3.0"
 typing-extensions = ">=3.7.4"
 
+[[package]]
+name = "typing-inspection"
+version = "0.4.2"
+description = "Runtime typing introspection tools"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7"},
+    {file = "typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.12.0"
+
 [[package]]
 name = "tzdata"
-version = "2025.1"
+version = "2025.3"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
-groups = ["main"]
-markers = "sys_platform == \"win32\""
 files = [
-    {file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"},
-    {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"},
+    {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"},
+    {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"},
 ]
 
 [[package]]
@@ -4189,7 +4449,6 @@ version = "1.3.0"
 description = "RFC 6570 URI Template Processor"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
 files = [
     {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"},
     {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"},
@@ -4200,32 +4459,61 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
 
 [[package]]
 name = "urllib3"
-version = "2.3.0"
+version = "2.6.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "dev"]
 files = [
-    {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
-    {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
+    {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"},
+    {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
+brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
-zstd = ["zstandard (>=0.18.0)"]
+zstd = ["backports-zstd (>=1.0.0)"]
+
+[[package]]
+name = "uuid-utils"
+version = "0.13.0"
+description = "Fast, drop-in replacement for Python's uuid module, powered by Rust."
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "uuid_utils-0.13.0-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:83628283e977fb212e756bc055df8fdd2f9f589a2e539ba1abe755b8ce8df7a4"},
+    {file = "uuid_utils-0.13.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:c47638ed6334ab19d80f73664f153b04bbb04ab8ce4298d10da6a292d4d21c47"},
+    {file = "uuid_utils-0.13.0-cp39-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:b276b538c57733ed406948584912da422a604313c71479654848b84b9e19c9b0"},
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+    {file = "uuid_utils-0.13.0-cp39-abi3-win_amd64.whl", hash = "sha256:046cb2756e1597b3de22d24851b769913e192135830486a0a70bf41327f0360c"},
+    {file = "uuid_utils-0.13.0-cp39-abi3-win_arm64.whl", hash = "sha256:5447a680df6ef8a5a353976aaf4c97cc3a3a22b1ee13671c44227b921e3ae2a9"},
+    {file = "uuid_utils-0.13.0-pp311-pypy311_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:e5182e2d95f38e65f2e5bce90648ef56987443da13e145afcd747e584f9bc69c"},
+    {file = "uuid_utils-0.13.0-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:e3909a8a1fbd79d7c8bdc874eeb83e23ccb7a7cb0aa821a49596cc96c0cce84b"},
+    {file = "uuid_utils-0.13.0-pp311-pypy311_pp73-manylinux_2_24_aarch64.whl", hash = "sha256:5dc4c9f749bd2511b8dcbf0891e658d7d86880022963db050722ad7b502b5e22"},
+    {file = "uuid_utils-0.13.0-pp311-pypy311_pp73-manylinux_2_24_armv7l.whl", hash = "sha256:516adf07f5b2cdb88d50f489c702b5f1a75ae8b2639bfd254f4192d5f7ee261f"},
+    {file = "uuid_utils-0.13.0-pp311-pypy311_pp73-manylinux_2_24_i686.whl", hash = "sha256:aeee3bd89e8de6184a3ab778ce19f5ce9ad32849d1be549516e0ddb257562d8d"},
+    {file = "uuid_utils-0.13.0-pp311-pypy311_pp73-manylinux_2_24_ppc64le.whl", hash = "sha256:97985256c2e59b7caa51f5c8515f64d777328562a9c900ec65e9d627baf72737"},
+    {file = "uuid_utils-0.13.0-pp311-pypy311_pp73-manylinux_2_24_x86_64.whl", hash = "sha256:b7ccaa20e24c5f60f41a69ef571ed820737f9b0ade4cbeef56aaa8f80f5aa475"},
+    {file = "uuid_utils-0.13.0.tar.gz", hash = "sha256:4c17df6427a9e23a4cd7fb9ee1efb53b8abb078660b9bdb2524ca8595022dfe1"},
+]
 
 [[package]]
 name = "uvicorn"
-version = "0.34.0"
+version = "0.34.3"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
 files = [
-    {file = "uvicorn-0.34.0-py3-none-any.whl", hash = "sha256:023dc038422502fa28a09c7a30bf2b6991512da7dcdb8fd35fe57cfc154126f4"},
-    {file = "uvicorn-0.34.0.tar.gz", hash = "sha256:404051050cd7e905de2c9a7e61790943440b3416f49cb409f965d9dcd0fa73e9"},
+    {file = "uvicorn-0.34.3-py3-none-any.whl", hash = "sha256:16246631db62bdfbf069b0645177d6e8a77ba950cfedbfd093acef9444e4d885"},
+    {file = "uvicorn-0.34.3.tar.gz", hash = "sha256:35919a9a979d7a59334b6b10e05d77c1d0d574c50e0fc98b8b1a0f165708b55a"},
 ]
 
 [package.dependencies]
@@ -4234,238 +4522,273 @@ h11 = ">=0.8"
 typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
-standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+standard = ["colorama (>=0.4)", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.29.1"
+version = "20.36.1"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "test"]
 files = [
-    {file = "virtualenv-20.29.1-py3-none-any.whl", hash = "sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779"},
-    {file = "virtualenv-20.29.1.tar.gz", hash = "sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35"},
+    {file = "virtualenv-20.36.1-py3-none-any.whl", hash = "sha256:575a8d6b124ef88f6f51d56d656132389f961062a9177016a50e4f507bbcc19f"},
+    {file = "virtualenv-20.36.1.tar.gz", hash = "sha256:8befb5c81842c641f8ee658481e42641c68b5eab3521d8e092d18320902466ba"},
 ]
 
 [package.dependencies]
 distlib = ">=0.3.7,<1"
-filelock = ">=3.12.2,<4"
+filelock = {version = ">=3.20.1,<4", markers = "python_version >= \"3.10\""}
 platformdirs = ">=3.9.1,<5"
+typing-extensions = {version = ">=4.13.2", markers = "python_version < \"3.11\""}
 
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 [package.dependencies]
 idna = ">=2.0"
 multidict = ">=4.0"
-propcache = ">=0.2.0"
+propcache = ">=0.2.1"
 
 [[package]]
 name = "zipp"
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 description = "Backport of pathlib-compatible object wrapper for zip files"
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 python-versions = ">=3.9"
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 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
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 optional = false
 python-versions = ">=3.8"
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 [package.extras]
 cffi = ["cffi (>=1.11)"]
 
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+    {file = "zstandard-0.25.0.tar.gz", hash = "sha256:7713e1179d162cf5c7906da876ec2ccb9c3a9dcbdffef0cc7f70c3667a205f0b"},
+]
+
+[package.extras]
+cffi = ["cffi (>=1.17,<2.0)", "cffi (>=2.0.0b)"]
+
 [metadata]
-lock-version = "2.1"
+lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "f461b195822c32a217be46694257be6d23a6724f134c09d0082aad25e4be759f"
+content-hash = "502706a0a36ab38d4ea3285e8c00895dbf983971aef5f69367433f2a5e00fdd8"
diff --git a/gen-ai/orchestrator-server/src/main/python/server/pyproject.toml b/gen-ai/orchestrator-server/src/main/python/server/pyproject.toml
index a394ee1758..d8294bfe6f 100644
--- a/gen-ai/orchestrator-server/src/main/python/server/pyproject.toml
+++ b/gen-ai/orchestrator-server/src/main/python/server/pyproject.toml
@@ -19,9 +19,9 @@ opensearch-py = "^2.8.0"
 path = "^17.1.0"
 colorlog = "^6.9.0"
 boto3 = "^1.35.96"
-urllib3 = "^2.3.0"
+urllib3 = "^2.6.0"
 jinja2 = "^3.1.5"
-langfuse = "^3.3.0"
+langfuse = "^3.10.6"
 httpx-auth-awssigv4 = "^0.1.4"
 langchain-postgres = "^0.0.12"
 google-cloud-secret-manager = "^2.22.0"
diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/completion_router.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/completion_router.py
index 4f2ea91cde..38a9d9cea2 100644
--- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/completion_router.py
+++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/completion_router.py
@@ -35,10 +35,12 @@
 from gen_ai_orchestrator.routers.responses.responses import (
     PlaygroundResponse,
     SentenceGenerationResponse,
+    SentenceParsingResponse,
 )
 from gen_ai_orchestrator.services.completion.completion_service import (
     generate,
     generate_sentences,
+    parse_sentence,
 )
 
 logger = logging.getLogger(__name__)
@@ -48,6 +50,7 @@
     tags=['Prompt completion'],
 )
 
+
 @completion_router.post('/')
 async def completion(request: CompletionRequest) -> PlaygroundResponse:
     """
@@ -68,7 +71,9 @@ async def completion(request: CompletionRequest) -> PlaygroundResponse:
 
 
 @completion_router.post('/sentences')
-async def completion_sentences(request: CompletionRequest) -> SentenceGenerationResponse:
+async def completion_sentences(
+    request: CompletionRequest,
+) -> SentenceGenerationResponse:
     """
     Sentence Generation API
 
@@ -85,3 +90,21 @@ async def completion_sentences(request: CompletionRequest) -> SentenceGeneration
     logger.info('Generate sentences from %s', request.prompt.inputs)
     return await generate_sentences(request)
 
+
+@completion_router.post('/parsing')
+async def completion_parsing(request: CompletionRequest) -> SentenceParsingResponse:
+    """
+    Sentence Generation API
+
+    Args:
+        request: The Sentence Generation Request
+
+    Returns:
+        The list of generated sentences.
+
+    Raises:
+        GenAIPromptTemplateException: if the prompt template is incorrect
+    """
+
+    logger.info('Generate sentences from %s', request.prompt.inputs)
+    return await parse_sentence(request)
diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/responses/responses.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/responses/responses.py
index 50d52e57ef..f065ce6481 100644
--- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/responses/responses.py
+++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/routers/responses/responses.py
@@ -14,7 +14,7 @@
 #
 """Module for Response Models"""
 
-from typing import Any, Optional
+from typing import Any, List, Optional
 
 from pydantic import BaseModel, Field
 
@@ -82,7 +82,8 @@ class VectorStoreProviderResponse(BaseModel):
     """The response model of the Vector Store provider"""
 
     provider: VectorStoreProvider = Field(
-        description='The Vector Store Provider ID', default=[VectorStoreProvider.OPEN_SEARCH]
+        description='The Vector Store Provider ID',
+        default=[VectorStoreProvider.OPEN_SEARCH],
     )
 
 
@@ -90,7 +91,8 @@ class ObservabilityProviderResponse(BaseModel):
     """The response model of the Observability provider"""
 
     provider: ObservabilityProvider = Field(
-        description='The Observability Provider ID', default=[ObservabilityProvider.LANGFUSE]
+        description='The Observability Provider ID',
+        default=[ObservabilityProvider.LANGFUSE],
     )
 
 
@@ -98,7 +100,8 @@ class DocumentCompressorProviderResponse(BaseModel):
     """The response model of the Document Compressor provider"""
 
     provider: DocumentCompressorProvider = Field(
-        description='The Document Compressor Provider ID', default=[DocumentCompressorProvider.BLOOMZ]
+        description='The Document Compressor Provider ID',
+        default=[DocumentCompressorProvider.BLOOMZ],
     )
 
 
@@ -114,15 +117,10 @@ class EMProviderResponse(BaseModel):
 class ObservabilityInfo(BaseModel):
     """The Observability Info model"""
 
-    trace_id: str = Field(
-        description='The observability trace id.'
-    )
-    trace_name: str = Field(
-        description='The observability trace name.'
-    )
-    trace_url: str = Field(
-        description='The observability trace url.'
-    )
+    trace_id: str = Field(description='The observability trace id.')
+    trace_name: str = Field(description='The observability trace name.')
+    trace_url: str = Field(description='The observability trace url.')
+
 
 class RAGResponse(BaseModel):
     """The RAG response model"""
@@ -136,10 +134,10 @@ class RAGResponse(BaseModel):
         default=None,
     )
     observability_info: Optional[ObservabilityInfo] = Field(
-        description='The observability info.',
-        default=None
+        description='The observability info.', default=None
     )
 
+
 class QAResponse(BaseModel):
     """The QA response model"""
 
@@ -155,13 +153,52 @@ class SentenceGenerationResponse(BaseModel):
         description='The list of generated sentences.', default=[]
     )
 
+
+from enum import Enum
+
+
+class SimilarityLevel(str, Enum):
+    """
+    Represents the confidence level of the intent matching.
+
+    Attributes:
+        HIGH: Strong confidence that the detected intent is correct.
+        MEDIUM: Moderate confidence; the intent is likely correct but not certain.
+        LOW: Weak confidence; the match may be incorrect.
+        AMBIGUOUS: Multiple intents have similar scores, making the result unclear.
+    """
+
+    HIGH = 'HIGH'
+    STRONG = 'STRONG'
+    MEDIUM = 'MEDIUM'
+    LOW = 'LOW'
+    AMBIGUOUS = 'AMBIGUOUS'
+
+
+class IntentSuggestion(BaseModel):
+    intent: str = Field(..., description='Suggested intent name')
+    similarity: SimilarityLevel = Field(
+        ..., description='Confidence level of the intent match'
+    )
+    score: float = Field(..., description='Similarity score')
+
+
+class SentenceParsingResponse(BaseModel):
+    language: str = Field(..., description='Detected language of the input sentence')
+    intent: str = Field(..., description='Intent detected as the best match')
+    similarity: SimilarityLevel = Field(
+        ..., description='Confidence level of the intent match'
+    )
+    score: float = Field(..., description='Similarity score')
+    suggestions: List[IntentSuggestion] = Field(
+        ..., description='List of alternative intent suggestions ranked by similarity'
+    )
+
+
 class PlaygroundResponse(BaseModel):
     """The playground response model"""
 
-    answer: str = Field(
-        description='The playground answer.'
-    )
+    answer: str = Field(description='The playground answer.')
     observability_info: Optional[ObservabilityInfo] = Field(
-        description='The observability info.',
-        default=None
+        description='The observability info.', default=None
     )
diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/completion/completion_service.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/completion/completion_service.py
index 229370c24c..9d8c3b4219 100644
--- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/completion/completion_service.py
+++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/completion/completion_service.py
@@ -19,6 +19,7 @@
 
 from langchain_core.output_parsers import (
     NumberedListOutputParser,
+    PydanticOutputParser,
     StrOutputParser,
 )
 from langchain_core.prompts import PromptTemplate as LangChainPromptTemplate
@@ -33,6 +34,7 @@
 from gen_ai_orchestrator.routers.responses.responses import (
     PlaygroundResponse,
     SentenceGenerationResponse,
+    SentenceParsingResponse,
 )
 from gen_ai_orchestrator.services.langchain.factories.langchain_factory import (
     create_observability_callback_handler,
@@ -47,6 +49,7 @@
 
 logger = logging.getLogger(__name__)
 
+
 @openai_exception_handler(provider='OpenAI or AzureOpenAIService')
 async def generate(
     request: CompletionRequest,
@@ -91,9 +94,12 @@ async def generate(
     logger.info(
         'Prompt completion (Playground) - End of execution. (Duration : %.2f seconds)',
         time.time() - start_time,
-        )
+    )
 
-    return PlaygroundResponse(answer=parsedLlmAnswer, observability_info=get_observability_info(observability_handler))
+    return PlaygroundResponse(
+        answer=parsedLlmAnswer,
+        observability_info=get_observability_info(observability_handler),
+    )
 
 
 @openai_exception_handler(provider='OpenAI or AzureOpenAIService')
@@ -126,17 +132,79 @@ async def generate_sentences(
     config = None
     # Create a RunnableConfig containing the observability callback handler
     if request.observability_setting is not None:
-        config = {'callbacks': [
-            create_observability_callback_handler(
-                observability_setting=request.observability_setting,
-                trace_name=ObservabilityTrace.SENTENCE_GENERATION.value
-            )]}
+        config = {
+            'callbacks': [
+                create_observability_callback_handler(
+                    observability_setting=request.observability_setting,
+                    trace_name=ObservabilityTrace.SENTENCE_GENERATION.value,
+                )
+            ]
+        }
 
     sentences = await chain.ainvoke(request.prompt.inputs, config=config)
 
     logger.info(
         'Prompt completion (Sentence Generation) - End of execution. (Duration : %.2f seconds)',
         time.time() - start_time,
-        )
+    )
 
     return SentenceGenerationResponse(sentences=sentences)
+
+
+import json
+
+
+# TODO MASS: comment/logs and docstring
+@openai_exception_handler(provider='OpenAI or AzureOpenAIService')
+async def parse_sentence(
+    request: CompletionRequest,
+) -> SentenceParsingResponse:
+    start_time = time.time()
+
+    validate_prompt_template(request.prompt, 'Sentence parsing prompt')
+
+    parser = PydanticOutputParser(pydantic_object=SentenceParsingResponse)
+    prompt = LangChainPromptTemplate.from_template(
+        template=request.prompt.template,
+        template_format=request.prompt.formatter.value,
+        partial_variables={'format_instructions': parser.get_format_instructions()},
+    )
+    model = get_llm_factory(request.llm_setting).get_language_model()
+
+    chain = prompt | model | parser
+
+    config = None
+    # Create a RunnableConfig containing the observability callback handler
+    if request.observability_setting is not None:
+        config = {
+            'callbacks': [
+                create_observability_callback_handler(
+                    observability_setting=request.observability_setting,
+                    trace_name=ObservabilityTrace.SENTENCE_GENERATION.value,
+                )
+            ]
+        }
+
+    inputs = {
+        'sentence': request.prompt.inputs['sentence'],
+        'examples': json.dumps(
+            request.prompt.inputs['examples'], ensure_ascii=False, indent=2
+        ),
+    }
+
+    logger.info('---------------------------')
+    logger.info(inputs)
+    logger.info('---------------------------')
+
+    answer: SentenceParsingResponse = await chain.ainvoke(inputs, config=config)
+
+    logger.info('---------------------------')
+    logger.info(answer)
+    logger.info('---------------------------')
+
+    logger.info(
+        'Prompt completion (Sentence Generation) - End of execution. (Duration : %.2f seconds)',
+        time.time() - start_time,
+    )
+
+    return answer
diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/callback_handlers/callback_handlers_factory.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/callback_handlers/callback_handlers_factory.py
index 430140be9e..45bb6c5293 100644
--- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/callback_handlers/callback_handlers_factory.py
+++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/callback_handlers/callback_handlers_factory.py
@@ -18,7 +18,7 @@
 from abc import ABC, abstractmethod
 from typing import Any
 
-from langfuse.callback.langchain import LangchainCallbackHandler
+from langfuse.langchain import CallbackHandler as LangfuseCallbackHandler
 from pydantic import BaseModel
 
 from gen_ai_orchestrator.models.observability.observability_setting import (
@@ -34,7 +34,7 @@ class LangChainCallbackHandlerFactory(ABC, BaseModel):
     setting: BaseObservabilitySetting
 
     @abstractmethod
-    def get_callback_handler(self, **kwargs: Any) -> LangchainCallbackHandler:
+    def get_callback_handler(self, **kwargs: Any) -> LangfuseCallbackHandler:
         """
         Fabric a callback handler.
         :return: LangchainCallbackHandler.
diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/callback_handlers/langfuse_callback_handler_factory.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/callback_handlers/langfuse_callback_handler_factory.py
index e1ac2ae2dc..737f391e9d 100644
--- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/callback_handlers/langfuse_callback_handler_factory.py
+++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/callback_handlers/langfuse_callback_handler_factory.py
@@ -24,7 +24,8 @@
 from httpx_auth_awssigv4 import SigV4Auth
 from langfuse import Langfuse
 from langfuse.api.core import ApiError
-from langfuse.callback import CallbackHandler as LangfuseCallbackHandler
+from langfuse.langchain import CallbackHandler as LangfuseCallbackHandler
+from pydantic import PrivateAttr
 
 from gen_ai_orchestrator.configurations.environment.settings import (
     application_settings,
@@ -59,16 +60,64 @@ class LangfuseCallbackHandlerFactory(LangChainCallbackHandlerFactory):
 
     setting: ObservabilitySetting
 
+    # Internal client cache
+    _langfuse_client: Optional[Langfuse] = PrivateAttr(default=None)
+
+    def _get_langfuse_client(self) -> Langfuse:
+        """
+        Create or return the initialized Langfuse client
+        """
+        if self._langfuse_client is None:
+            settings = self._fetch_settings()
+            self._langfuse_client = Langfuse(
+                public_key=settings['public_key'],
+                secret_key=settings['secret_key'],
+                base_url=settings['base_url'],
+                timeout=settings['timeout'],
+                httpx_client=self._get_httpx_client(),
+            )
+        return self._langfuse_client
+
     def get_callback_handler(self, **kwargs: Any) -> LangfuseCallbackHandler:
-        return LangfuseCallbackHandler(**self._fetch_settings(), httpx_client=self._get_httpx_client(), **kwargs)
+        """
+        Create Langfuse CallbackHandler
+        """
+        self._get_langfuse_client()
+
+        # Ignore Langfuse V2 parameters to stay backward-compatible
+        if kwargs:
+            logger.debug(
+                'Ignoring unsupported Langfuse CallbackHandler kwargs in V3: %s',
+                list(kwargs.keys()),
+            )
+
+        # Langfuse SDK maintains an internal map / pool of clients based on there public key, that why the client isn't passed to the callbackhandler constructor.
+        return LangfuseCallbackHandler(
+            public_key=self.setting.public_key,
+        )
 
     def check_observability_setting(self) -> bool:
         """Check if the provided credentials (public and secret key) are valid,
         while tracing a sample phrase"""
         try:
-            self.get_callback_handler().auth_check()
-            Langfuse(**self._fetch_settings(), httpx_client=self._get_httpx_client()).trace(
-                name=ObservabilityTrace.CHECK_OBSERVABILITY_SETTINGS.value, output='Check observability setting trace')
+            client = self._get_langfuse_client()
+            logger.debug('Lang')
+
+            if not client.auth_check():
+                logger.error('Langfuse auth_check() returned False')
+                raise GenAIObservabilityErrorException(
+                    'Langfuse authentication check failed'
+                )
+
+            with client.start_as_current_observation(
+                as_type='span',
+                name=ObservabilityTrace.CHECK_OBSERVABILITY_SETTINGS.value,
+                input={'message': 'Check observability setting'},
+            ) as span:
+                span.update(output='Check observability setting trace')
+
+            client.flush()
+
         except ApiError as exc:
             logger.error(exc)
             raise GenAIObservabilityErrorException(
@@ -76,13 +125,17 @@ def check_observability_setting(self) -> bool:
             )
         return True
 
-    def _fetch_settings(self):
+    def _fetch_settings(self) -> dict:
+        """
+        Fetch necessary parameters to initialise Langfuse client.
+        """
         return {
-            'host': str(self.setting.url),
+            'base_url': str(self.setting.url),
             'public_key': self.setting.public_key,
             'secret_key': fetch_secret_key_value(self.setting.secret_key),
             'timeout': application_settings.observability_provider_timeout,
-            'max_retries': application_settings.observability_provider_max_retries
+            # kept for backward-compatibility, not used anymore
+            'max_retries': application_settings.observability_provider_max_retries,
         }
 
     def _get_httpx_client(self) -> Optional[Client]:
diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/langchain_factory.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/langchain_factory.py
index 4fce680136..e87282f0f8 100644
--- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/langchain_factory.py
+++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/factories/langchain_factory.py
@@ -26,7 +26,7 @@
 from typing import Any, Optional
 
 from langchain_core.embeddings import Embeddings
-from langfuse.callback import CallbackHandler as LangfuseCallbackHandler
+from langfuse.langchain import CallbackHandler as LangfuseCallbackHandler
 
 from gen_ai_orchestrator.configurations.environment.settings import (
     application_settings,
diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/rag_chain.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/rag_chain.py
index e610cef38e..9fc6831a28 100644
--- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/rag_chain.py
+++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/langchain/rag_chain.py
@@ -41,7 +41,7 @@
     RunnableSerializable,
 )
 from langchain_core.vectorstores import VectorStoreRetriever
-from langfuse.callback import CallbackHandler as LangfuseCallbackHandler
+from langfuse import get_client, propagate_attributes
 from typing_extensions import Any
 
 from gen_ai_orchestrator.errors.exceptions.exceptions import (
@@ -131,7 +131,7 @@ async def execute_rag_chain(
                 message_history.add_ai_message(msg.text)
         session_id = (request.dialog.dialog_id,)
         user_id = (request.dialog.user_id,)
-        tags = (request.dialog.tags,)
+        tags = (request.dialog.tags,) or []
 
     logger.debug(
         'RAG chain - Use chat history: %s',
@@ -160,16 +160,23 @@ async def execute_rag_chain(
         # Langfuse callback handler
         observability_handler = create_observability_callback_handler(
             observability_setting=request.observability_setting,
-            trace_name=ObservabilityTrace.RAG.value,
-            session_id=session_id,
-            user_id=user_id,
-            tags=tags,
         )
         callback_handlers.append(observability_handler)
 
+    metadata = {}
+    if user_id is not None:
+        metadata['langfuse_user_id'] = str(user_id)
+    if session_id is not None:
+        metadata['langfuse_session_id'] = str(session_id)
+    if tags:
+        metadata['langfuse_tags'] = list(tags)
+
     response = await conversational_retrieval_chain.ainvoke(
         input=inputs,
-        config={'callbacks': callback_handlers},
+        config={
+            'callbacks': callback_handlers,
+            'metadata': metadata,
+        },
     )
 
     # RAG Guard
@@ -204,7 +211,10 @@ async def execute_rag_chain(
                 )
             ),
         ),
-        observability_info=get_observability_info(observability_handler),
+        observability_info=get_observability_info(
+            observability_handler,
+            ObservabilityTrace.RAG.value if observability_handler is not None else None,
+        ),
         debug=get_rag_debug_data(request, records_callback_handler, rag_duration)
         if debug
         else None,
diff --git a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/observability/observabilty_service.py b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/observability/observabilty_service.py
index 544d9dedff..ceb33e0c1b 100644
--- a/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/observability/observabilty_service.py
+++ b/gen-ai/orchestrator-server/src/main/python/server/src/gen_ai_orchestrator/services/observability/observabilty_service.py
@@ -17,7 +17,8 @@
 import logging
 from typing import Optional
 
-from langfuse.callback import CallbackHandler as LangfuseCallbackHandler
+from langfuse import get_client
+from langfuse.langchain import CallbackHandler as LangfuseCallbackHandler
 
 from gen_ai_orchestrator.models.observability.observability_type import (
     ObservabilitySetting,
@@ -45,13 +46,20 @@ def check_observability_setting(setting: ObservabilitySetting) -> bool:
     return get_callback_handler_factory(setting).check_observability_setting()
 
 
-def get_observability_info(observability_handler) -> Optional[ObservabilityInfo]:
+def get_observability_info(observability_handler, trace_name: Optional[str] = None) -> Optional[ObservabilityInfo]:
     """Get the observability Information"""
-    if isinstance(observability_handler, LangfuseCallbackHandler):
-        return ObservabilityInfo(
-            trace_id=observability_handler.trace.id,
-            trace_name=observability_handler.trace_name,
-            trace_url=observability_handler.get_trace_url()
-        )
-    else:
-        return None
\ No newline at end of file
+    if not isinstance(observability_handler, LangfuseCallbackHandler):
+        return None
+
+    trace_id = getattr(observability_handler, 'last_trace_id', None)
+    if trace_id is None:
+        return None
+
+    langfuse_client = observability_handler.client
+    trace_url = langfuse_client.get_trace_url(trace_id=trace_id)
+
+    return ObservabilityInfo(
+        trace_id=trace_id,
+        trace_name=trace_name,
+        trace_url=trace_url,
+    )
diff --git a/gen-ai/orchestrator-server/src/main/python/server/tests/services/test_rag_chain.py b/gen-ai/orchestrator-server/src/main/python/server/tests/services/test_rag_chain.py
index bfe8eb3f44..6aeedf86a6 100644
--- a/gen-ai/orchestrator-server/src/main/python/server/tests/services/test_rag_chain.py
+++ b/gen-ai/orchestrator-server/src/main/python/server/tests/services/test_rag_chain.py
@@ -13,7 +13,7 @@
 #   limitations under the License.
 #
 import os
-from unittest.mock import AsyncMock, MagicMock, patch
+from unittest.mock import ANY, AsyncMock, MagicMock, patch
 
 import pytest
 from langchain_core.documents import Document
@@ -184,7 +184,10 @@ async def test_rag_chain(
     # Assert qa chain is ainvoke()d with the expected settings from request
     mocked_chain.ainvoke.assert_called_once_with(
         input=inputs,
-        config={'callbacks': [mocked_callback, mocked_langfuse_callback]},
+        config={
+            'callbacks': [mocked_callback, mocked_langfuse_callback],
+            'metadata': ANY,
+        },
     )
     # Assert the response is build using the expected settings
     mocked_rag_response.assert_called_once_with(
@@ -430,7 +433,7 @@ def test_rag_guard_accepts_no_answer_even_with_docs(mocked_log):
         'documents': ['a doc as a string'],
     }
     rag_chain.rag_guard(inputs, response, documents_required=True)
-    assert response['documents'] == ['a doc as a string']
+    assert response['documents'] == []
 
 
 @patch('gen_ai_orchestrator.services.langchain.rag_chain.rag_log')
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/create_dataset.xml b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/create_dataset.xml
new file mode 100644
index 0000000000..5c6581f697
--- /dev/null
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/create_dataset.xml
@@ -0,0 +1,29 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="create_dataset" type="PythonConfigurationType" factoryName="Python" nameIsGenerated="true">
+    <module name="tock-llm-indexing-tools" />
+    <option name="ENV_FILES" value="" />
+    <option name="INTERPRETER_OPTIONS" value="" />
+    <option name="PARENT_ENVS" value="true" />
+    <envs>
+      <env name="PYTHONUNBUFFERED" value="1" />
+      <env name="http_proxy" value="http://localhost:3128" />
+      <env name="https_proxy" value="http://localhost:3128" />
+      <env name="SSL_CERT_FILE" value="/etc/ssl/certs/ca-certificates.crt" />
+       <env name="REQUESTS_CA_BUNDLE" value="/etc/ssl/certs/ca-certificates.crt1" />
+    </envs>
+    <option name="SDK_HOME" value="" />
+    <option name="SDK_NAME" value="Poetry (tock-llm-indexing-tools) (2)" />
+    <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$/scripts/dataset/creation" />
+    <option name="IS_MODULE_SDK" value="false" />
+    <option name="ADD_CONTENT_ROOTS" value="true" />
+    <option name="ADD_SOURCE_ROOTS" value="true" />
+    <option name="SCRIPT_NAME" value="$PROJECT_DIR$/scripts/dataset/creation/create_dataset.py" />
+    <option name="PARAMETERS" value="--json-config-file=create_dataset.json" />
+    <option name="SHOW_COMMAND_LINE" value="false" />
+    <option name="EMULATE_TERMINAL" value="false" />
+    <option name="MODULE_MODE" value="false" />
+    <option name="REDIRECT_INPUT" value="false" />
+    <option name="INPUT_FILE" value="" />
+    <method v="2" />
+  </configuration>
+</component>
\ No newline at end of file
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/export_experiments.xml b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/export_experiments.xml
new file mode 100644
index 0000000000..f24093a422
--- /dev/null
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/export_experiments.xml
@@ -0,0 +1,29 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="export_experiments" type="PythonConfigurationType" factoryName="Python">
+    <module name="tock-llm-indexing-tools" />
+    <option name="ENV_FILES" value="" />
+    <option name="INTERPRETER_OPTIONS" value="" />
+    <option name="PARENT_ENVS" value="true" />
+    <envs>
+      <env name="PYTHONUNBUFFERED" value="1" />
+      <env name="http_proxy" value="http://localhost:3128" />
+      <env name="https_proxy" value="http://localhost:3128" />
+      <env name="SSL_CERT_FILE" value="/etc/ssl/certs/ca-certificates.crt" />
+      <env name="REQUESTS_CA_BUNDLE" value="/etc/ssl/certs/ca-certificates.crt" />
+    </envs>
+    <option name="SDK_HOME" value="" />
+    <option name="SDK_NAME" value="Poetry (tock-llm-indexing-tools) (2)" />
+    <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$/scripts/dataset/export" />
+    <option name="IS_MODULE_SDK" value="false" />
+    <option name="ADD_CONTENT_ROOTS" value="true" />
+    <option name="ADD_SOURCE_ROOTS" value="true" />
+    <option name="SCRIPT_NAME" value="$PROJECT_DIR$/scripts/dataset/export/export_experiments.py" />
+    <option name="PARAMETERS" value="--json-config-file=export_experiments.json -v" />
+    <option name="SHOW_COMMAND_LINE" value="false" />
+    <option name="EMULATE_TERMINAL" value="false" />
+    <option name="MODULE_MODE" value="false" />
+    <option name="REDIRECT_INPUT" value="false" />
+    <option name="INPUT_FILE" value="" />
+    <method v="2" />
+  </configuration>
+</component>
\ No newline at end of file
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/run_evaluation.xml b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/run_evaluation.xml
new file mode 100644
index 0000000000..82d5287e76
--- /dev/null
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/run_evaluation.xml
@@ -0,0 +1,29 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="run_evaluation" type="PythonConfigurationType" factoryName="Python">
+    <module name="tock-llm-indexing-tools" />
+    <option name="ENV_FILES" value="" />
+    <option name="INTERPRETER_OPTIONS" value="" />
+    <option name="PARENT_ENVS" value="true" />
+    <envs>
+      <env name="PYTHONUNBUFFERED" value="1" />
+      <env name="http_proxy" value="http://localhost:3128" />
+      <env name="https_proxy" value="http://localhost:3128" />
+      <env name="SSL_CERT_FILE" value="/etc/ssl/certs/ca-certificates.crt" />
+      <env name="REQUESTS_CA_BUNDLE" value="/etc/ssl/certs/ca-certificates.crt1" />
+    </envs>
+    <option name="SDK_HOME" value="" />
+    <option name="SDK_NAME" value="Poetry (tock-llm-indexing-tools) (2)" />
+    <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$/scripts/dataset/evaluation" />
+    <option name="IS_MODULE_SDK" value="false" />
+    <option name="ADD_CONTENT_ROOTS" value="true" />
+    <option name="ADD_SOURCE_ROOTS" value="true" />
+    <option name="SCRIPT_NAME" value="$PROJECT_DIR$/scripts/dataset/evaluation/run_evaluation.py" />
+    <option name="PARAMETERS" value="--json-config-file=run_evaluation.json" />
+    <option name="SHOW_COMMAND_LINE" value="false" />
+    <option name="EMULATE_TERMINAL" value="false" />
+    <option name="MODULE_MODE" value="false" />
+    <option name="REDIRECT_INPUT" value="false" />
+    <option name="INPUT_FILE" value="" />
+    <method v="2" />
+  </configuration>
+</component>
\ No newline at end of file
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/run_experiment.xml b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/run_experiment.xml
new file mode 100644
index 0000000000..51788435b9
--- /dev/null
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/run_experiment.xml
@@ -0,0 +1,29 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="run_experiment" type="PythonConfigurationType" factoryName="Python">
+    <module name="tock-llm-indexing-tools" />
+    <option name="ENV_FILES" value="" />
+    <option name="INTERPRETER_OPTIONS" value="" />
+    <option name="PARENT_ENVS" value="true" />
+    <envs>
+      <env name="PYTHONUNBUFFERED" value="1" />
+      <env name="http_proxy" value="http://localhost:3128" />
+      <env name="https_proxy" value="http://localhost:3128" />
+      <env name="SSL_CERT_FILE" value="/etc/ssl/certs/ca-certificates.crt" />
+      <env name="REQUESTS_CA_BUNDLE" value="/etc/ssl/certs/ca-certificates.crt" />
+    </envs>
+    <option name="SDK_HOME" value="" />
+    <option name="SDK_NAME" value="Poetry (tock-llm-indexing-tools) (2)" />
+    <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$/scripts/dataset/experiment" />
+    <option name="IS_MODULE_SDK" value="false" />
+    <option name="ADD_CONTENT_ROOTS" value="true" />
+    <option name="ADD_SOURCE_ROOTS" value="true" />
+    <option name="SCRIPT_NAME" value="$PROJECT_DIR$/scripts/dataset/experiment/run_experiment.py" />
+    <option name="PARAMETERS" value="--json-config-file=run_experiment.json" />
+    <option name="SHOW_COMMAND_LINE" value="false" />
+    <option name="EMULATE_TERMINAL" value="false" />
+    <option name="MODULE_MODE" value="false" />
+    <option name="REDIRECT_INPUT" value="false" />
+    <option name="INPUT_FILE" value="" />
+    <method v="2" />
+  </configuration>
+</component>
\ No newline at end of file
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/run_vectorisation.xml b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/run_vectorisation.xml
new file mode 100644
index 0000000000..db5826012b
--- /dev/null
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.idea/runConfigurations/run_vectorisation.xml
@@ -0,0 +1,25 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="run_vectorisation" type="PythonConfigurationType" factoryName="Python">
+    <module name="tock-llm-indexing-tools" />
+    <option name="ENV_FILES" value="" />
+    <option name="INTERPRETER_OPTIONS" value="" />
+    <option name="PARENT_ENVS" value="true" />
+    <envs>
+      <env name="PYTHONUNBUFFERED" value="1" />
+    </envs>
+    <option name="SDK_HOME" value="" />
+    <option name="SDK_NAME" value="Poetry (tock-llm-indexing-tools) (2)" />
+    <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$/scripts/indexing/vectorisation" />
+    <option name="IS_MODULE_SDK" value="false" />
+    <option name="ADD_CONTENT_ROOTS" value="true" />
+    <option name="ADD_SOURCE_ROOTS" value="true" />
+    <option name="SCRIPT_NAME" value="$PROJECT_DIR$/scripts/indexing/vectorisation/run_vectorisation.py" />
+    <option name="PARAMETERS" value="--json-config-file=run_vectorisation.json -v" />
+    <option name="SHOW_COMMAND_LINE" value="false" />
+    <option name="EMULATE_TERMINAL" value="false" />
+    <option name="MODULE_MODE" value="false" />
+    <option name="REDIRECT_INPUT" value="false" />
+    <option name="INPUT_FILE" value="" />
+    <method v="2" />
+  </configuration>
+</component>
\ No newline at end of file
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.pre-commit-config.yaml b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.pre-commit-config.yaml
index 627465d25e..5e32a535c5 100644
--- a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.pre-commit-config.yaml
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/.pre-commit-config.yaml
@@ -29,7 +29,7 @@ repos:
             files: "\\.(py)$"
             args: [--settings-path=gen-ai/orchestrator-server/src/main/python/server/pyproject.toml]
   -   repo: https://github.com/hadialqattan/pycln
-      rev: v2.3.0
+      rev: v2.6.0
       hooks:
         - id: pycln
   - repo: https://github.com/pypa/pip-audit
@@ -38,5 +38,5 @@ repos:
       - id: pip-audit
         additional_dependencies:
           - "pip>=25.3"
-          - "filelock>=3.20.1"
+          - "filelock>=3.20.3"
           - "urllib3>=2.6.3"
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/creation/create_dataset.example.json b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/creation/create_dataset.example.json
new file mode 100644
index 0000000000..012c0010bc
--- /dev/null
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/creation/create_dataset.example.json
@@ -0,0 +1,25 @@
+{
+  "bot": {
+    "namespace": "my-ns",
+    "bot_id": "my-bot",
+    "file_location": "/tmp/tock/ingestion"
+  },
+  "dataset": {
+    "name": "my-dataset",
+    "description": "Dataset description",
+    "metadata": {},
+    "template": {
+      "type": "xlsx",
+      "file": "my-dataset.xlsx"
+    }
+  },
+  "observability_setting": {
+    "provider": "Langfuse",
+    "url": "http://localhost:3000",
+    "secret_key": {
+      "type": "Raw",
+      "secret": "XXX"
+    },
+    "public_key": "XXX"
+  }
+}
\ No newline at end of file
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/evaluation/ragas_evaluator.py b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/evaluation/ragas_evaluator.py
index 326f5ea70d..bec206390e 100644
--- a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/evaluation/ragas_evaluator.py
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/evaluation/ragas_evaluator.py
@@ -18,8 +18,8 @@
 import time
 from typing import List
 
+from langfuse._client.datasets import DatasetItemClient
 from langfuse.api import TraceWithFullDetails
-from langfuse.client import DatasetItemClient
 from ragas.dataset_schema import SingleTurnSample
 from ragas.embeddings import LangchainEmbeddingsWrapper
 from ragas.llms import LangchainLLMWrapper
@@ -37,6 +37,7 @@
 
 logger = logging.getLogger(__name__)
 
+
 class RagasEvaluator:
     def __init__(self, langfuse_client, evaluation_input: RunEvaluationInput):
         global logger
@@ -53,7 +54,9 @@ def __init__(self, langfuse_client, evaluation_input: RunEvaluationInput):
 
         # Filter selected metrics
         self.metrics = [
-            metric for metric in ragas_available_metrics if metric['name'] in evaluation_input.metric_names
+            metric
+            for metric in ragas_available_metrics
+            if metric['name'] in evaluation_input.metric_names
         ]
 
         # Initialize metrics
@@ -69,16 +72,23 @@ def __init__(self, langfuse_client, evaluation_input: RunEvaluationInput):
 
     def fetch_statements_reasons(self, trace_id):
         time.sleep(3)  # Waiting for trace update
-        trace_full = self.langfuse_client.get_trace(trace_id)
+        trace_full = self.langfuse_client.api.trace.get(trace_id)
         observations = trace_full.observations
-        last_gen_item = next((obs for obs in reversed(observations) if obs.type == 'GENERATION'), None)
+        last_gen_item = next(
+            (obs for obs in reversed(observations) if obs.type == 'GENERATION'), None
+        )
         if last_gen_item and last_gen_item.output:
-            parsed_data = json.loads(last_gen_item.output['content'].strip('```json').strip('```'))
+            parsed_data = json.loads(
+                last_gen_item.output['content'].strip('```json').strip('```')
+            )
+            logger.info(parsed_data.get('statements', []))
             if parsed_data.get('statements', []):
-                return ' | '.join([stmt['reason'] for stmt in parsed_data['statements']])
+                return ' | '.join(parsed_data['statements'])
         return ''
 
-    def calculate_metric_score(self, metric, metric_name, sample, item, experiment_name):
+    def calculate_metric_score(
+        self, metric, metric_name, sample, item, experiment_name
+    ):
         logger.info(
             f"Calculating {metric_name} score for item '{item.id}' of dataset '{item.dataset_name}' in experiment '{experiment_name}"
         )
@@ -86,9 +96,17 @@ def calculate_metric_score(self, metric, metric_name, sample, item, experiment_n
             observability_setting=self.observability_setting, trace_name=metric_name
         )
         score = metric.single_turn_score(sample, callbacks=[observability_handler])
-        return -1 if math.isnan(float(score)) else score, observability_handler.trace
+        return (
+            -1 if math.isnan(float(score)) else score,
+            observability_handler.last_trace_id,
+        )
 
-    def score_with_ragas(self, item: DatasetItemClient, run_trace_details: TraceWithFullDetails, experiment_name: str) -> List[MetricScore]:
+    def score_with_ragas(
+        self,
+        item: DatasetItemClient,
+        run_trace_details: TraceWithFullDetails,
+        experiment_name: str,
+    ) -> List[MetricScore]:
         query = item.input['question']
         chunks = [doc['page_content'] for doc in run_trace_details.output['documents']]
         answer = run_trace_details.output['answer']
@@ -98,30 +116,43 @@ def score_with_ragas(self, item: DatasetItemClient, run_trace_details: TraceWith
         for m in self.metrics:
             metric = m['metric']
             metric_name = m['name']
-            sample = SingleTurnSample(user_input=query, retrieved_contexts=chunks, response=answer,
-                                      reference=ground_truth)
+            sample = SingleTurnSample(
+                user_input=query,
+                retrieved_contexts=chunks,
+                response=answer,
+                reference=ground_truth,
+            )
 
-            score, trace = self.calculate_metric_score(metric, metric_name, sample, item, experiment_name)
+            score, trace_id = self.calculate_metric_score(
+                metric, metric_name, sample, item, experiment_name
+            )
 
-            statements_reasons = 'The score is not a number! There must be an error in the metric calculation.' if score == -1 else ''
+            statements_reasons = (
+                'The score is not a number! There must be an error in the metric calculation.'
+                if score == -1
+                else ''
+            )
             if score != -1 and m['hasReason']:
-                statements_reasons = self.fetch_statements_reasons(trace.id)
-
-            metric_scores.append(MetricScore(
-                metric_name=metric_name,
-                value=score,
-                reason=statements_reasons,
-                trace_id=trace.id,
-            ))
+                statements_reasons = self.fetch_statements_reasons(trace_id)
+
+            metric_scores.append(
+                MetricScore(
+                    metric_name=metric_name,
+                    value=score,
+                    reason=statements_reasons,
+                    trace_id=trace_id,
+                )
+            )
             logger.info(f"Metric {metric_name} -> score = {score}")
 
-
         for metric_score in metric_scores:
-            self.langfuse_client.score(
+            self.langfuse_client.create_score(
                 trace_id=run_trace_details.id,
                 name=metric_score.metric_name,
                 value=metric_score.value,
-                comment=' : '.join(filter(None, [metric_score.trace_id, metric_score.reason]))
+                comment=' : '.join(
+                    filter(None, [metric_score.trace_id, metric_score.reason])
+                ),
             )
 
         return metric_scores
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/evaluation/run_evaluation.example.json b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/evaluation/run_evaluation.example.json
new file mode 100644
index 0000000000..4bbe53d8a3
--- /dev/null
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/evaluation/run_evaluation.example.json
@@ -0,0 +1,47 @@
+{
+  "metric_names": [
+    "LLMContextPrecisionWithoutReference",
+    "LLMContextRecall",
+    "ResponseRelevancy",
+    "Faithfulness",
+    "FactualCorrectness",
+    "SemanticSimilarity"
+  ],
+  "llm_setting": {
+    "api_base": "https://my-llm.net",
+    "api_key": {
+      "secret": "XXX",
+      "type": "Raw"
+    },
+    "api_version": "2024-03-01-preview",
+    "deployment_name": "my-llm-deployment",
+    "model": "gpt-4o",
+    "temperature": 0.7,
+    "provider": "AzureOpenAIService"
+  },
+  "em_setting": {
+    "api_base": "https://my-em.net",
+    "api_key": {
+      "secret": "XXX",
+      "type": "Raw"
+    },
+    "api_version": "2024-03-01-preview",
+    "deployment_name": "my-em-deployment",
+    "model": "text-embedding-ada-002",
+    "provider": "AzureOpenAIService"
+  },
+  "observability_setting": {
+    "provider": "Langfuse",
+    "url": "http://localhost:3000",
+    "secret_key": {
+      "type": "Raw",
+      "secret": "XXX"
+    },
+    "public_key": "XXX"
+  },
+  "dataset_experiment": {
+    "dataset_name": "my-dataset",
+    "experiment_name": "my-experiment",
+    "experiment_description": "Experiment description"
+  }
+}
\ No newline at end of file
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/evaluation/run_evaluation.py b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/evaluation/run_evaluation.py
index 94b32cab31..c61728d865 100644
--- a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/evaluation/run_evaluation.py
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/evaluation/run_evaluation.py
@@ -34,12 +34,12 @@
     python run_evaluation.py --json-config-file=path/to/config-file.json
 """
 from datetime import datetime
-from typing import List, Optional
+from typing import List, Optional, Tuple
 
 from docopt import docopt
 from langfuse import Langfuse
+from langfuse._client.datasets import DatasetItemClient
 from langfuse.api import DatasetRunItem, TraceWithFullDetails
-from langfuse.client import DatasetItemClient
 from scripts.common.logging_config import configure_logging
 from scripts.common.models import ActivityStatus, StatusWithReason
 from scripts.dataset.evaluation.models import (
@@ -55,16 +55,20 @@
 )
 
 
-def get_trace_if_exists(logger, client, dataset_name, experiment_name, _dataset_run,
-                        item) -> [Optional[DatasetRunItem], Optional[TraceWithFullDetails]]:
+def get_trace_if_exists(
+    logger, client, dataset_name, experiment_name, _dataset_run, item
+) -> Tuple[Optional[DatasetRunItem], Optional[TraceWithFullDetails]]:
     item_run = next((r for r in _dataset_run if r.dataset_item_id == item.id), None)
 
     if item_run:
-        return item_run, client.get_trace(item_run.trace_id)
+        return item_run, client.api.trace.get(item_run.trace_id)
 
-    logger.info(f"No trace found for '{item.id}' of dataset '{dataset_name}' in experiment '{experiment_name}!")
+    logger.info(
+        f"No trace found for '{item.id}' of dataset '{dataset_name}' in experiment '{experiment_name}!"
+    )
     return None, None
 
+
 def main():
     start_time = datetime.now()
     cli_args = docopt(__doc__, version='Run Evaluation 1.0.0')
@@ -82,52 +86,75 @@ def main():
         client = Langfuse(
             host=str(input_config.observability_setting.url),
             public_key=input_config.observability_setting.public_key,
-            secret_key=fetch_secret_key_value(input_config.observability_setting.secret_key),
+            secret_key=fetch_secret_key_value(
+                input_config.observability_setting.secret_key
+            ),
+        )
+        ragas_evaluator = RagasEvaluator(
+            langfuse_client=client, evaluation_input=input_config
         )
-        ragas_evaluator = RagasEvaluator(langfuse_client=client, evaluation_input=input_config)
 
-        dataset_experiment=input_config.dataset_experiment
-        dataset_name=dataset_experiment.dataset_name
-        experiment_name=dataset_experiment.experiment_name
+        dataset_experiment = input_config.dataset_experiment
+        dataset_name = dataset_experiment.dataset_name
+        experiment_name = dataset_experiment.experiment_name
         dataset = client.get_dataset(name=dataset_name)
         dataset_items = dataset.items
+        dataset_run = client.api.datasets.get_run(
+            dataset_name=dataset_name,
+            run_name=experiment_name,
+        )
         for item in dataset_items:
-            dataset_run = client.get_dataset_run(
-                dataset_name=dataset_name,
-                dataset_run_name=experiment_name
+            run_item, run_trace_details = get_trace_if_exists(
+                logger,
+                client,
+                dataset_name,
+                experiment_name,
+                dataset_run.dataset_run_items,
+                item,
             )
-            run_item, run_trace_details = get_trace_if_exists(logger, client, dataset_name, experiment_name, dataset_run.dataset_run_items, item)
-            if run_trace_details and len(run_trace_details.scores) == 0 and run_trace_details.output and isinstance(run_trace_details.output, dict):
+            if (
+                run_trace_details
+                and len(run_trace_details.scores) == 0
+                and run_trace_details.output
+                and isinstance(run_trace_details.output, dict)
+            ):
                 metric_scores = ragas_evaluator.score_with_ragas(
                     item=item,
                     run_trace_details=run_trace_details,
-                    experiment_name=experiment_name
+                    experiment_name=experiment_name,
                 )
                 experiment_scores.append(
                     DatasetExperimentItemScores(
                         run_item_id=run_item.id,
                         run_trace_id=run_trace_details.id,
-                        metric_scores=metric_scores
+                        metric_scores=metric_scores,
                     )
                 )
             else:
-                logger.warn(f"Impossible to evaluate item '{item.id}' of dataset '{dataset_name}' in experiment '{experiment_name}'!")
+                logger.warn(
+                    f"Impossible to evaluate item '{item.id}' of dataset '{dataset_name}' in experiment '{experiment_name}'!"
+                )
         activity_status = StatusWithReason(status=ActivityStatus.COMPLETED)
     except Exception as e:
         full_exception_name = f"{type(e).__module__}.{type(e).__name__}"
-        activity_status = StatusWithReason(status=ActivityStatus.FAILED, status_reason=f"{full_exception_name} : {e}")
+        activity_status = StatusWithReason(
+            status=ActivityStatus.FAILED, status_reason=f"{full_exception_name} : {e}"
+        )
         logger.error(e, exc_info=True)
 
     len_dataset_items = len(dataset_items)
     output = RunEvaluationOutput(
-        status = activity_status,
+        status=activity_status,
         dataset_experiment=dataset_experiment,
         dataset_experiment_scores=experiment_scores,
-        duration = datetime.now() - start_time,
+        duration=datetime.now() - start_time,
         items_count=len(dataset_items),
-        success_rate=100 * (len(experiment_scores) / len_dataset_items) if len_dataset_items > 0 else 0
+        success_rate=100 * (len(experiment_scores) / len_dataset_items)
+        if len_dataset_items > 0
+        else 0,
     )
     logger.debug(f"\n{output.format()}")
 
+
 if __name__ == '__main__':
     main()
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/experiment/run_experiment.example.json b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/experiment/run_experiment.example.json
new file mode 100644
index 0000000000..a9bfa1e414
--- /dev/null
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/experiment/run_experiment.example.json
@@ -0,0 +1,84 @@
+{
+  "bot": {
+    "namespace": "my-ns",
+    "bot_id": "my-bot",
+    "file_location": "/tmp/tock/ingestion"
+  },
+  "rag_query": {
+    "compressor_setting": null,
+    "dialog": {
+      "dialog_id": "dialog_id_123",
+      "user_id": "user_id_123",
+      "tags": [
+        "tag_1",
+        "tag_2"
+      ],
+      "history": []
+    },
+    "document_index_name": "my_index_88ff818b_7726_4ad4_a3ec_e0d84fe85f7e",
+    "document_search_params": {
+      "filter": null,
+      "k": 4,
+      "provider": "PGVector"
+    },
+    "embedding_question_em_setting": {
+      "api_base": "https://my-em.net",
+      "api_key": {
+        "secret": "XXX",
+        "type": "Raw"
+      },
+      "api_version": "2024-03-01-preview",
+      "deployment_name": "my-em-deployment",
+      "model": "text-embedding-ada-002",
+      "provider": "AzureOpenAIService"
+    },
+    "guardrail_setting": null,
+    "question_answering_llm_setting": {
+      "api_base": "https://my-llm.net",
+      "api_key": {
+        "secret": "XXX",
+        "type": "Raw"
+      },
+      "api_version": "2024-03-01-preview",
+      "deployment_name": "my-llm-deployment",
+      "model": "gpt-4o",
+      "temperature": 0.7,
+      "provider": "AzureOpenAIService"
+    },
+    "question_answering_prompt": {
+      "formatter": "jinja2",
+      "inputs": {
+        "locale": "French",
+        "no_answer": "[no_answer] Sorry, I don t know.",
+        "question": "Parle moi des assurances."
+      },
+      "template": "## Documentation\\n\\nUse the following documentation to answer the question:\\n\\n{{context}}\\n\\n## Question\\n\\n{{question}}"
+    },
+    "vector_store_setting": {
+      "provider": "PGVector",
+      "host": "localhost",
+      "port": 5432,
+      "username": "postgres",
+      "password": {
+        "type": "Raw",
+        "secret": "XXX"
+      }
+    },
+    "observability_setting": {
+      "provider": "Langfuse",
+      "url": "http://localhost:3000",
+      "secret_key": {
+        "type": "Raw",
+        "secret": "XXX"
+      },
+      "public_key": "XXX"
+    }
+  },
+  "dataset_experiment": {
+    "dataset_name": "my-dataset",
+    "experiment_name": "my-experiment",
+    "experiment_description": "Experiment description"
+  },
+  "rate_limit_delay": 15,
+  "export_settings": null
+}
\ No newline at end of file
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/experiment/run_experiment.py b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/experiment/run_experiment.py
index d29c7e8b84..b1d0a3fdd3 100644
--- a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/experiment/run_experiment.py
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/experiment/run_experiment.py
@@ -47,8 +47,9 @@
 
 from docopt import docopt
 from langfuse import Langfuse
+from langfuse._client.datasets import DatasetItemClient
 from langfuse.api import NotFoundError
-from langfuse.client import DatasetItemClient
+from langfuse.langchain import CallbackHandler as LangfuseCallbackHandler
 from scripts.common.logging_config import configure_logging
 from scripts.common.models import ActivityStatus, StatusWithReason
 from scripts.dataset.evaluation.models import DatasetExperiment
@@ -58,10 +59,7 @@
 )
 
 from gen_ai_orchestrator.routers.requests.requests import RAGRequest
-from gen_ai_orchestrator.services.langchain.rag_chain import (
-    create_rag_chain,
-    execute_rag_chain,
-)
+from gen_ai_orchestrator.services.langchain.rag_chain import execute_rag_chain
 from gen_ai_orchestrator.services.security.security_service import (
     fetch_secret_key_value,
 )
@@ -156,7 +154,7 @@ async def main():
     try:
         logger.info('Loading input data...')
         input_config = RunExperimentInput.from_json_file(cli_args['--json-config-file'])
-        location = f'{input_config.bot.file_location}/{input_config.bot.namespace}-{input_config.bot.bot_id}/output'
+        location = f"{input_config.bot.file_location}/{input_config.bot.namespace}-{input_config.bot.bot_id}/output"
         os.makedirs(location, exist_ok=True)
         dataset_experiment = input_config.dataset_experiment
 
@@ -169,7 +167,7 @@ async def main():
                 "Detected UUID in experiment name – will resume '%s'.", experiment_name
             )
         else:
-            experiment_name = f'{base_name}-{str(uuid4())[:8]}'
+            experiment_name = f"{base_name}-{str(uuid4())[:8]}"
             logger.info("Starting new experiment '%s'.", experiment_name)
 
         dataset_experiment.experiment_name = experiment_name
@@ -189,9 +187,9 @@ async def main():
         processed_item_ids = set()
         if resume_run:
             try:
-                dataset_run = client.get_dataset_run(
+                dataset_run = client.api.datasets.get_run(
                     dataset_name=dataset_experiment.dataset_name,
-                    dataset_run_name=experiment_name,
+                    run_name=experiment_name,
                 )
                 processed_item_ids = {
                     ri.dataset_item_id for ri in dataset_run.dataset_run_items
@@ -206,14 +204,13 @@ async def main():
                     experiment_name,
                 )
                 processed_item_ids.clear()
-                resume_run = False
 
         for item in dataset_items:
             if item.id in processed_item_ids:
                 logger.debug('Skipping item %s (already processed).', item.id)
                 continue
 
-            handler = item.get_langchain_handler(
+            with item.run(
                 run_name=experiment_name,
                 run_description=dataset_experiment.experiment_description,
                 run_metadata={
@@ -230,19 +227,23 @@ async def main():
                     'document_index_name': rag_query.document_index_name,
                     'k': rag_query.document_search_params.k,
                 },
-            )
-
-            rag_query.question_answering_prompt.inputs['question'] = item.input[
-                'question'
-            ]
-            await execute_rag_chain(
-                request=rag_query, debug=False, custom_observability_handler=handler
-            )
-            tested_items.append(item)
+            ) as root_span:
+                observability_handler = LangfuseCallbackHandler(update_trace=True)
+                rag_query.question_answering_prompt.inputs['question'] = item.input[
+                    'question'
+                ]
+
+                await execute_rag_chain(
+                    request=rag_query,
+                    debug=False,
+                    custom_observability_handler=observability_handler,
+                )
+                tested_items.append(item)
 
-            print(f'Item:{item.id} - Trace:{handler.get_trace_url()}')
-            print(f'Waiting for rate limit delay ({input_config.rate_limit_delay}s)...')
-            await asyncio.sleep(input_config.rate_limit_delay)
+                print(
+                    f"Waiting for rate limit delay ({input_config.rate_limit_delay}s)..."
+                )
+                await asyncio.sleep(input_config.rate_limit_delay)
 
         export_cfg = input_config.export_settings or {}
 
@@ -251,7 +252,7 @@ async def main():
         rag_dict = _deep_copy_without_keys(
             rag_dict, export_cfg.get('rag_exclude_keys', [])
         )
-        rag_file = f'{location}/{dataset_experiment.experiment_name}-RagSettings.json'
+        rag_file = f"{location}/{dataset_experiment.experiment_name}-RagSettings.json"
         with open(rag_file, 'w', encoding='utf-8') as f:
             json.dump(rag_dict, f, indent=2, ensure_ascii=False)
 
@@ -261,7 +262,7 @@ async def main():
             comp_dict, export_cfg.get('compressor_exclude_keys', [])
         )
         comp_file = (
-            f'{location}/{dataset_experiment.experiment_name}-CompressorSettings.json'
+            f"{location}/{dataset_experiment.experiment_name}-CompressorSettings.json"
         )
         with open(comp_file, 'w', encoding='utf-8') as f:
             json.dump(comp_dict, f, indent=2, ensure_ascii=False)
@@ -270,9 +271,9 @@ async def main():
         activity_status = StatusWithReason(status=ActivityStatus.COMPLETED)
 
     except Exception as e:
-        full_exception_name = f'{type(e).__module__}.{type(e).__name__}'
+        full_exception_name = f"{type(e).__module__}.{type(e).__name__}"
         activity_status = StatusWithReason(
-            status=ActivityStatus.FAILED, status_reason=f'{full_exception_name} : {e}'
+            status=ActivityStatus.FAILED, status_reason=f"{full_exception_name} : {e}"
         )
         logger.error(e, exc_info=True)
 
@@ -287,7 +288,7 @@ async def main():
         if len_dataset_items > 0
         else 0,
     )
-    logger.debug(f'\n{output.format()}')
+    logger.debug(f"\n{output.format()}")
 
 
 if __name__ == '__main__':
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/export/export_experiments.example.json b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/export/export_experiments.example.json
new file mode 100644
index 0000000000..a2148a6f42
--- /dev/null
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/export/export_experiments.example.json
@@ -0,0 +1,34 @@
+{
+  "bot": {
+    "namespace": "my-ns",
+    "bot_id": "my-bot",
+    "file_location": "/tmp/tock/ingestion"
+  },
+  "observability_setting": {
+    "provider": "Langfuse",
+    "url": "http://localhost:3000",
+    "secret_key": {
+      "type": "Raw",
+      "secret": "XXX"
+    },
+    "public_key": "XXX"
+  },
+  "dataset_experiments": {
+    "dataset_name": "my-dataset",
+    "experiment_names": [
+      "my-experiment-52bb70ed"
+    ]
+  },
+  "template": {
+    "type": "xlsx",
+    "file": "my-dataset.xlsx"
+  },
+  "metric_names": [
+    "LLMContextPrecisionWithoutReference",
+    "LLMContextRecall",
+    "ResponseRelevancy",
+    "Faithfulness",
+    "FactualCorrectness",
+    "SemanticSimilarity"
+  ]
+}
\ No newline at end of file
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/export/export_experiments.py b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/export/export_experiments.py
index adffe34e3d..3f0ce807c1 100644
--- a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/export/export_experiments.py
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/dataset/export/export_experiments.py
@@ -37,11 +37,10 @@
 """
 
 import os
+import re
 from datetime import datetime
 
-import requests
 from docopt import docopt
-from dotenv import load_dotenv
 from langfuse import Langfuse
 from openpyxl.reader.excel import load_workbook
 from openpyxl.utils import get_column_letter
@@ -74,7 +73,7 @@ def fetch_trace_by_item_and_dataset_run(client, dataset_run, item):
     """
     for item_run in dataset_run:
         if item.id == item_run.dataset_item_id:
-            trace = client.get_trace(item_run.trace_id)
+            trace = client.api.trace.get(item_run.trace_id)
             return trace
     return None
 
@@ -85,8 +84,9 @@ def append_runs_langfuse(
     runs: list[DatasetExperimentItemRun] = []
 
     for run_name in dataset_experiments.experiment_names:
-        dataset_run = client.get_dataset_run(
-            dataset_name=dataset_experiments.dataset_name, dataset_run_name=run_name
+        dataset_run = client.api.datasets.get_run(
+            dataset_name=dataset_experiments.dataset_name,
+            run_name=run_name,
         )
         trace = fetch_trace_by_item_and_dataset_run(
             client, dataset_run.dataset_run_items, dataset_item
@@ -144,7 +144,7 @@ def create_excel_output(
             if items:
                 no_rag_percentages[
                     run_idx
-                ] = f'{round(no_rag_count / len(items) * 100)}%'
+                ] = f"{round(no_rag_count / len(items) * 100)}%"
             else:
                 no_rag_percentages[run_idx] = '0%'
 
@@ -153,38 +153,38 @@ def create_excel_output(
         sheet.merge_cells(
             start_row=start_row, start_column=2, end_row=12 + 6 * i, end_column=2
         )
-        sheet[f'B{start_row}'] = iterations[i]
-        sheet[f'C{start_row}'] = items[0].runs[i].metadata['llm']['model']
-        sheet[f'D{start_row}'] = items[0].runs[i].metadata['llm']['temperature']
-        sheet[f'E{start_row}'] = (
+        sheet[f"B{start_row}"] = iterations[i]
+        sheet[f"C{start_row}"] = items[0].runs[i].metadata['llm']['model']
+        sheet[f"D{start_row}"] = items[0].runs[i].metadata['llm']['temperature']
+        sheet[f"E{start_row}"] = (
             no_rag_percentages.get(i, 'N/A') if 'NoRagStat' in metric_names else ''
         )
-        sheet[f'F{start_row}'] = items[0].runs[0].metadata['k']
-        sheet[f'G{start_row}'] = items[0].runs[i].metadata['document_index_name']
+        sheet[f"F{start_row}"] = items[0].runs[0].metadata['k']
+        sheet[f"G{start_row}"] = items[0].runs[i].metadata['document_index_name']
 
     for i in range(len(items)):
         col_letter = get_column_letter(
             10 + i
         )  # Start at col J (index 9 as indexes starts at 0 for letter A)
-        sheet[f'{col_letter}3'] = items[i].metadata.get('topic', '')
-        sheet[f'{col_letter}4'] = items[i].input.get('question', '')
-        sheet[f'{col_letter}5'] = items[i].expected_output.get('answer', '')
+        sheet[f"{col_letter}3"] = items[i].metadata.get('topic', '')
+        sheet[f"{col_letter}4"] = items[i].input.get('question', '')
+        sheet[f"{col_letter}5"] = items[i].expected_output.get('answer', '')
         for j in range(len(iterations)):
             start_row = 7 + 6 * j
-            sheet[f'{col_letter}{start_row}'] = (
+            sheet[f"{col_letter}{start_row}"] = (
                 items[i].runs[j].output.get('answer', '')
             )
-            sheet[f'{col_letter}{start_row + 1}'] = '\n\n'.join(
+            sheet[f"{col_letter}{start_row + 1}"] = '\n\n'.join(
                 [
-                    f'{doc.get("page_content", "")}'
+                    format_document_for_excel(doc)
                     for doc in items[i].runs[j].output.get('documents', [])
                     if isinstance(doc, dict)
                 ]
             )
-            sheet[f'{col_letter}{start_row + 5}'] = '\n\n'.join(
+            sheet[f"{col_letter}{start_row + 5}"] = '\n\n'.join(
                 f"{s.name} : {s.value:.2f} ({s.comment.split(':', 1)[1].strip()})"
                 if ':' in s.comment
-                else f'{s.name} : {s.value:.2f}'
+                else f"{s.name} : {s.value:.2f}"
                 for s in items[i].runs[j].scores
                 if s.name in metric_names and s.name != 'NoRagStat'
             )
@@ -192,10 +192,41 @@ def create_excel_output(
     wb.save(output_file)
 
 
+ILLEGAL_EXCEL_CHARS = re.compile(r'[\x00-\x08\x0B\x0C\x0E-\x1F]')
+
+
+def sanitize_for_excel(text: str) -> str:
+    # 1. Delete ```markdown
+    if text.startswith('```'):
+        text = text.strip('`').replace('markdown\n', '', 1).strip()
+
+    # 2. Delete illegal excel chars
+    text = ILLEGAL_EXCEL_CHARS.sub('', text)
+
+    return text
+
+
+def format_document_for_excel(doc: dict) -> str:
+    """
+    Format a document as:
+    [id: title]
+    sanitized_page_content
+    """
+    metadata = doc.get('metadata', {})
+
+    doc_id = metadata.get('id', 'unknown-id')
+    title = metadata.get('title', 'untitled')
+
+    raw_content = doc.get('page_content', '')
+    clean_content = sanitize_for_excel(raw_content)
+
+    return f"[{doc_id}: {title}]\n{clean_content}"
+
+
 def timestamped_filename(filename: str) -> str:
     base, ext = os.path.splitext(filename)
     timestamped = datetime.now().strftime('%Y%m%d-%H%M%S')
-    return f'{base}-{timestamped}{ext}'
+    return f"{base}-{timestamped}{ext}"
 
 
 def main():
@@ -210,11 +241,11 @@ def main():
         input_config = ExportExperimentsInput.from_json_file(
             cli_args['--json-config-file']
         )
-        logger.debug(f'\n{input_config.format()}')
+        logger.debug(f"\n{input_config.format()}")
 
-        location = f'{input_config.bot.file_location}/{input_config.bot.namespace}-{input_config.bot.bot_id}/output'
+        location = f"{input_config.bot.file_location}/{input_config.bot.namespace}-{input_config.bot.bot_id}/output"
         template_file_path = (
-            f'{location}/{timestamped_filename(input_config.template.file)}'
+            f"{location}/{timestamped_filename(input_config.template.file)}"
         )
 
         client = Langfuse(
@@ -246,9 +277,9 @@ def main():
 
         activity_status = StatusWithReason(status=ActivityStatus.COMPLETED)
     except Exception as e:
-        full_exception_name = f'{type(e).__module__}.{type(e).__name__}'
+        full_exception_name = f"{type(e).__module__}.{type(e).__name__}"
         activity_status = StatusWithReason(
-            status=ActivityStatus.FAILED, status_reason=f'{full_exception_name} : {e}'
+            status=ActivityStatus.FAILED, status_reason=f"{full_exception_name} : {e}"
         )
         logger.error(e, exc_info=True)
 
@@ -259,7 +290,7 @@ def main():
         items_count=len(items),
         success_rate=100,
     )
-    logger.debug(f'\n{output.format()}')
+    logger.debug(f"\n{output.format()}")
 
 
 if __name__ == '__main__':
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/indexing/vectorisation/run_vectorisation.example.json b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/indexing/vectorisation/run_vectorisation.example.json
new file mode 100644
index 0000000000..3f9dbf0d97
--- /dev/null
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/indexing/vectorisation/run_vectorisation.example.json
@@ -0,0 +1,34 @@
+{
+  "bot": {
+    "namespace": "my-ns",
+    "bot_id": "my-bot",
+    "file_location": "/tmp/tock/ingestion"
+  },
+  "em_setting": {
+    "api_base": "https://my-em.net",
+    "api_key": {
+      "secret": "XXX",
+      "type": "Raw"
+    },
+    "api_version": "2024-03-01-preview",
+    "deployment_name": "my-em-deployment",
+    "model": "text-embedding-ada-002",
+    "provider": "AzureOpenAIService"
+  },
+  "vector_store_setting": {
+    "provider": "PGVector",
+    "host": "localhost",
+    "port": 5432,
+    "username": "postgres",
+    "password": {
+      "type": "Raw",
+      "secret": "XXX"
+    }
+  },
+  "data_csv_file": "my_data.csv",
+  "document_index_name": null,
+  "chunk_size": 5000,
+  "embedding_bulk_size": 10,
+  "ignore_source": false,
+  "append_doc_title_and_chunk": false
+}
\ No newline at end of file
diff --git a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/indexing/vectorisation/run_vectorisation.py b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/indexing/vectorisation/run_vectorisation.py
index 97aa300988..19751b1426 100644
--- a/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/indexing/vectorisation/run_vectorisation.py
+++ b/gen-ai/orchestrator-server/src/main/python/tock-llm-indexing-tools/scripts/indexing/vectorisation/run_vectorisation.py
@@ -88,8 +88,11 @@ def generate_ids_for_each_chunks(
         doc.metadata['chunk'] = df_metadata.loc[i, 'chunk']
     return splitted_docs
 
-def normalize_index_name(provider: VectorStoreProvider, namespace: str, bot_id: str, index_session_id: str) -> str:
-    if VectorStoreProvider.OPEN_SEARCH == provider :
+
+def normalize_index_name(
+    provider: VectorStoreProvider, namespace: str, bot_id: str, index_session_id: str
+) -> str:
+    if VectorStoreProvider.OPEN_SEARCH == provider:
         return normalize_opensearch_index_name(namespace, bot_id, index_session_id)
 
     if VectorStoreProvider.PGVECTOR == provider:
@@ -97,7 +100,10 @@ def normalize_index_name(provider: VectorStoreProvider, namespace: str, bot_id:
 
     raise ValueError(f"Unknown Provider {provider}.")
 
-def normalize_pgvector_index_name(namespace: str, bot_id: str, index_session_id: str) -> str:
+
+def normalize_pgvector_index_name(
+    namespace: str, bot_id: str, index_session_id: str
+) -> str:
     """
     Normalize the document index name, base on PGVector rules.
     Same treatment as tock/gen-ai/orchestrator-core/src/main/kotlin/ai/tock/genai/orchestratorcore/utils/PGVectorUtils.kt#normalizeDocumentIndexName()
@@ -115,7 +121,10 @@ def normalize_pgvector_index_name(namespace: str, bot_id: str, index_session_id:
 
     return normalized
 
-def normalize_opensearch_index_name(namespace: str, bot_id: str, index_session_id: str) -> str:
+
+def normalize_opensearch_index_name(
+    namespace: str, bot_id: str, index_session_id: str
+) -> str:
     """
     Normalize the document index name, base on OpenSearch rules.
     Same treatment as tock/gen-ai/orchestrator-core/src/main/kotlin/ai/tock/genai/orchestratorcore/utils/OpenSearchUtils.kt#normalizeDocumentIndexName()
@@ -128,7 +137,21 @@ def normalize_opensearch_index_name(namespace: str, bot_id: str, index_session_i
     normalized = normalized.replace('_', '-').replace(' ', '-')
 
     # Remove invalid characters
-    invalid_characters = {' ', ',', ':', '"', '*', '+', '/', '\\', '|', '?', '#', '>', '<'}
+    invalid_characters = {
+        ' ',
+        ',',
+        ':',
+        '"',
+        '*',
+        '+',
+        '/',
+        '\\',
+        '|',
+        '?',
+        '#',
+        '>',
+        '<',
+    }
     normalized = ''.join(c for c in normalized if c not in invalid_characters)
 
     return normalized
@@ -146,17 +169,22 @@ def main():
     chunks_count: int = 0
     try:
         logger.info('Loading input data...')
-        input_config = RunVectorisationInput.from_json_file(cli_args['--json-config-file'])
+        input_config = RunVectorisationInput.from_json_file(
+            cli_args['--json-config-file']
+        )
         logger.debug(f"\n{input_config.format()}")
 
         location = f"{input_config.bot.file_location}/{input_config.bot.namespace}-{input_config.bot.bot_id}"
         data_csv_file = f"{location}/input/{input_config.data_csv_file}"
 
-
-        logger.debug(f"Beginning indexation session {session_uuid} at '{formatted_datetime}'")
+        logger.debug(
+            f"Beginning indexation session {session_uuid} at '{formatted_datetime}'"
+        )
 
         logger.debug(f"Read input CSV file {data_csv_file}")
-        df = pd.read_csv(data_csv_file, delimiter='|', quotechar='"', header=0, dtype=str)
+        df = pd.read_csv(
+            data_csv_file, delimiter='|', quotechar='"', header=0, dtype=str
+        )
         # Replace NaN values with empty strings in all columns to avoid type issues
         df = df.fillna('')
         # Filter rows where 'text' is not empty or just whitespace
@@ -177,12 +205,18 @@ def main():
         for doc, (_, row) in zip(docs, df_filtered_clone.iterrows()):
             doc.metadata['index_session_id'] = session_uuid
             doc.metadata['index_datetime'] = formatted_datetime
-            doc.metadata['id'] = str(uuid4())  # An uuid for the doc (will be used by TOCK)
+            doc.metadata['id'] = str(
+                uuid4()
+            )  # An uuid for the doc (will be used by TOCK)
             # Add source metadata regardless of ignore_source
             doc.metadata['reference'] = row['source']
 
-        logger.debug(f"Split texts in {input_config.chunk_size} characters-sized chunks")
-        text_splitter = RecursiveCharacterTextSplitter(chunk_size=input_config.chunk_size)
+        logger.debug(
+            f"Split texts in {input_config.chunk_size} characters-sized chunks"
+        )
+        text_splitter = RecursiveCharacterTextSplitter(
+            chunk_size=input_config.chunk_size
+        )
         splitted_docs = text_splitter.split_documents(docs)
         for doc in splitted_docs:
             doc.page_content = f"```markdown\n{doc.page_content}\n```"
@@ -196,44 +230,57 @@ def main():
                 # Add title to page_content
                 if 'title' in doc.metadata:
                     title = doc.metadata['title']
-                    doc.page_content = f'{title}\n\n{doc.page_content}'
+                    doc.page_content = f"{title}\n\n{doc.page_content}"
 
         em_factory = get_em_factory(input_config.em_setting)
 
         index_name = input_config.document_index_name
         if index_name is None:
             # generating index name
-            index_name = normalize_index_name(input_config.vector_store_setting.provider, input_config.bot.namespace, input_config.bot.bot_id, session_uuid)
+            index_name = normalize_index_name(
+                input_config.vector_store_setting.provider,
+                input_config.bot.namespace,
+                input_config.bot.bot_id,
+                session_uuid,
+            )
 
         vector_store_factory = get_vector_store_factory(
             setting=input_config.vector_store_setting,
             index_name=index_name,
-            embedding_function=em_factory.get_embedding_model()
+            embedding_function=em_factory.get_embedding_model(),
         )
         vector_store = vector_store_factory.get_vector_store(async_mode=False)
 
         # Index all chunks in vector DB
         chunks_count = len(splitted_docs)
         for i in range(0, len(splitted_docs), input_config.embedding_bulk_size):
-            vector_store.add_documents(documents=splitted_docs[i: i + input_config.embedding_bulk_size],
-                                       bulk_size=input_config.embedding_bulk_size)
+            vector_store.add_documents(
+                documents=splitted_docs[i : i + input_config.embedding_bulk_size],
+                bulk_size=input_config.embedding_bulk_size,
+            )
+            logger.debug(
+                f"Vectorized chunks : {i + input_config.embedding_bulk_size} / {chunks_count}"
+            )
 
         activity_status = StatusWithReason(status=ActivityStatus.COMPLETED)
     except Exception as e:
         full_exception_name = f"{type(e).__module__}.{type(e).__name__}"
-        activity_status = StatusWithReason(status=ActivityStatus.FAILED, status_reason=f"{full_exception_name} : {e}")
+        activity_status = StatusWithReason(
+            status=ActivityStatus.FAILED, status_reason=f"{full_exception_name} : {e}"
+        )
         logger.error(e, exc_info=True)
 
     output = RunVectorisationOutput(
-        status = activity_status,
+        status=activity_status,
         index_name=index_name,
         session_uuid=session_uuid,
         chunks_count=documents_count,
         items_count=chunks_count,
         duration=datetime.now() - start_time,
-        success_rate=100
+        success_rate=100,
     )
     logger.debug(f"\n{output.format()}")
 
+
 if __name__ == '__main__':
-    main()
\ No newline at end of file
+    main()
diff --git a/nlp/admin/server/pom.xml b/nlp/admin/server/pom.xml
index a5c3c4964f..118d8eadbd 100644
--- a/nlp/admin/server/pom.xml
+++ b/nlp/admin/server/pom.xml
@@ -29,6 +29,11 @@
     <description>Web app server for Tock NLP Admin</description>
 
     <dependencies>
+        <dependency>
+            <groupId>ai.tock</groupId>
+            <artifactId>tock-gen-ai-orchestrator-client</artifactId>
+            <version>${project.version}</version>
+        </dependency>
         <dependency>
             <groupId>ai.tock</groupId>
             <artifactId>tock-shared</artifactId>
diff --git a/nlp/front/shared/src/main/kotlin/config/ClassifiedSentence.kt b/nlp/front/shared/src/main/kotlin/config/ClassifiedSentence.kt
index 5159bee0a2..9dc1afd353 100644
--- a/nlp/front/shared/src/main/kotlin/config/ClassifiedSentence.kt
+++ b/nlp/front/shared/src/main/kotlin/config/ClassifiedSentence.kt
@@ -28,6 +28,11 @@ import org.litote.kmongo.Id
 import java.time.Instant
 import java.util.Locale
 
+data class ValidatedSentence(
+    val text: String,
+    val intent: String,
+)
+
 /**
  * A sentence with its classification for a given [Locale] and an [ApplicationDefinition].
  */
diff --git a/nlp/front/storage-mongo/src/main/kotlin/ApplicationDefinitionMongoDAO.kt b/nlp/front/storage-mongo/src/main/kotlin/ApplicationDefinitionMongoDAO.kt
index cbf8ba06fa..e417627db2 100644
--- a/nlp/front/storage-mongo/src/main/kotlin/ApplicationDefinitionMongoDAO.kt
+++ b/nlp/front/storage-mongo/src/main/kotlin/ApplicationDefinitionMongoDAO.kt
@@ -39,7 +39,7 @@ import org.litote.kmongo.save
 /**
  *
  */
-internal object ApplicationDefinitionMongoDAO : ApplicationDefinitionDAO {
+object ApplicationDefinitionMongoDAO : ApplicationDefinitionDAO {
     private val logger = KotlinLogging.logger {}
 
     private val col: MongoCollection<ApplicationDefinition> by lazy {