diff --git a/openai/src/jvmTest/kotlin/openai/OpenAISpec.kt b/openai/src/jvmTest/kotlin/openai/OpenAISpec.kt
deleted file mode 100644
index 9d8cc65cb..000000000
--- a/openai/src/jvmTest/kotlin/openai/OpenAISpec.kt
+++ /dev/null
@@ -1,68 +0,0 @@
-package openai
-
-import com.xebia.functional.tokenizer.ModelType
-import com.xebia.functional.xef.conversation.llm.openai.OpenAI
-import com.xebia.functional.xef.conversation.llm.openai.prompt
-import com.xebia.functional.xef.conversation.llm.openai.promptMessage
-import com.xebia.functional.xef.prompt.Prompt
-import com.xebia.functional.xef.prompt.templates.user
-import io.kotest.core.spec.style.StringSpec
-import io.kotest.matchers.shouldBe
-import kotlinx.serialization.encodeToString
-import kotlinx.serialization.json.Json
-import openai.data.Answer
-import openai.data.Question
-import openai.data.TestFunctionsModel
-import openai.data.TestModel
-
-class OpenAISpec :
-  StringSpec({
-    """
-        | When we are using a OpenAI scope conversation
-        | the memories should have the correct size in the vector store
-        | for the conversationId generated inside the conversation
-        """ {
-      OpenAI.conversation {
-        val model = TestModel(modelType = ModelType.ADA, name = "fake-model")
-
-        promptMessage(prompt = Prompt("question 1"), model = model)
-
-        promptMessage(prompt = Prompt("question 2"), model = model)
-
-        val memories = store.memories(conversationId!!, 10000)
-
-        memories.size shouldBe 4
-      }
-    }
-
-    """
-        | When we are using a OpenAI scope conversation with functions
-        | the memories should have the correct size in the vector store
-        | for the conversationId generated inside the conversation
-        """ {
-      OpenAI.conversation {
-        val question = Question("fake-question")
-        val questionJsonString = Json.encodeToString(question)
-        val answer = Answer("fake-answer")
-        val answerJsonString = Json.encodeToString(answer)
-        val question2 = "question 2"
-
-        val message = mapOf(questionJsonString to answerJsonString, question2 to answerJsonString)
-
-        val model =
-          TestFunctionsModel(
-            modelType = ModelType.GPT_3_5_TURBO_FUNCTIONS,
-            name = "fake-model",
-            responses = message
-          )
-
-        val response1: Answer = prompt(Prompt { +user(question) }, model)
-
-        val response2: Answer = prompt(Prompt(question2), model)
-
-        val memories = store.memories(conversationId!!, 10000)
-
-        memories.size shouldBe 4
-      }
-    }
-  })
diff --git a/openai/src/jvmTest/kotlin/openai/data/TestFunctionsModel.kt b/openai/src/jvmTest/kotlin/openai/data/TestFunctionsModel.kt
deleted file mode 100644
index 29259168a..000000000
--- a/openai/src/jvmTest/kotlin/openai/data/TestFunctionsModel.kt
+++ /dev/null
@@ -1,88 +0,0 @@
-package openai.data
-
-import com.xebia.functional.tokenizer.ModelType
-import com.xebia.functional.xef.llm.ChatWithFunctions
-import com.xebia.functional.xef.llm.Embeddings
-import com.xebia.functional.xef.llm.models.chat.*
-import com.xebia.functional.xef.llm.models.embeddings.EmbeddingRequest
-import com.xebia.functional.xef.llm.models.embeddings.EmbeddingResult
-import com.xebia.functional.xef.llm.models.functions.FunctionCall
-import com.xebia.functional.xef.llm.models.usage.Usage
-import kotlinx.coroutines.flow.Flow
-
-class TestFunctionsModel(
-  override val modelType: ModelType,
-  override val name: String,
-  val responses: Map<String, String> = emptyMap(),
-) : ChatWithFunctions, Embeddings, AutoCloseable {
-
-  var requests: MutableList<ChatCompletionRequest> = mutableListOf()
-
-  override suspend fun createChatCompletion(
-    request: ChatCompletionRequest
-  ): ChatCompletionResponse {
-    requests.add(request)
-    return ChatCompletionResponse(
-      id = "fake-id",
-      `object` = "fake-object",
-      created = 0,
-      model = "fake-model",
-      choices =
-        listOf(
-          Choice(
-            message =
-              Message(
-                role = Role.USER,
-                content = responses[request.messages.last().content] ?: "fake-content",
-                name = Role.USER.name
-              ),
-            finishReason = "fake-finish-reason",
-            index = 0
-          )
-        ),
-      usage = Usage.ZERO
-    )
-  }
-
-  override suspend fun createChatCompletions(
-    request: ChatCompletionRequest
-  ): Flow<ChatCompletionChunk> {
-    throw NotImplementedError()
-  }
-
-  override fun tokensFromMessages(messages: List<Message>): Int {
-    return messages.sumOf { it.content.length }
-  }
-
-  override suspend fun createEmbeddings(request: EmbeddingRequest): EmbeddingResult {
-    return EmbeddingResult(data = emptyList(), usage = Usage.ZERO)
-  }
-
-  override suspend fun createChatCompletionWithFunctions(
-    request: ChatCompletionRequest
-  ): ChatCompletionResponseWithFunctions {
-    requests.add(request)
-    val response = responses[request.messages.last().content] ?: "fake-content"
-    return ChatCompletionResponseWithFunctions(
-      id = "fake-id",
-      `object` = "fake-object",
-      created = 0,
-      model = "fake-model",
-      choices =
-        listOf(
-          ChoiceWithFunctions(
-            message =
-              MessageWithFunctionCall(
-                role = Role.USER.name,
-                content = response,
-                functionCall = FunctionCall("fake-function-name", response),
-                name = Role.USER.name
-              ),
-            finishReason = "fake-finish-reason",
-            index = 0
-          )
-        ),
-      usage = Usage.ZERO
-    )
-  }
-}
diff --git a/openai/src/jvmTest/kotlin/openai/data/TestModel.kt b/openai/src/jvmTest/kotlin/openai/data/TestModel.kt
deleted file mode 100644
index bc6ffd2a3..000000000
--- a/openai/src/jvmTest/kotlin/openai/data/TestModel.kt
+++ /dev/null
@@ -1,59 +0,0 @@
-package openai.data
-
-import com.xebia.functional.tokenizer.ModelType
-import com.xebia.functional.xef.llm.Chat
-import com.xebia.functional.xef.llm.Embeddings
-import com.xebia.functional.xef.llm.models.chat.*
-import com.xebia.functional.xef.llm.models.embeddings.EmbeddingRequest
-import com.xebia.functional.xef.llm.models.embeddings.EmbeddingResult
-import com.xebia.functional.xef.llm.models.usage.Usage
-import kotlinx.coroutines.flow.Flow
-
-class TestModel(
-  override val modelType: ModelType,
-  override val name: String,
-  val responses: Map<String, String> = emptyMap(),
-) : Chat, Embeddings, AutoCloseable {
-
-  var requests: MutableList<ChatCompletionRequest> = mutableListOf()
-
-  override suspend fun createChatCompletion(
-    request: ChatCompletionRequest
-  ): ChatCompletionResponse {
-    requests.add(request)
-    return ChatCompletionResponse(
-      id = "fake-id",
-      `object` = "fake-object",
-      created = 0,
-      model = "fake-model",
-      choices =
-        listOf(
-          Choice(
-            message =
-              Message(
-                role = Role.USER,
-                content = responses[request.messages.last().content] ?: "fake-content",
-                name = Role.USER.name
-              ),
-            finishReason = "fake-finish-reason",
-            index = 0
-          )
-        ),
-      usage = Usage.ZERO
-    )
-  }
-
-  override suspend fun createChatCompletions(
-    request: ChatCompletionRequest
-  ): Flow<ChatCompletionChunk> {
-    throw NotImplementedError()
-  }
-
-  override fun tokensFromMessages(messages: List<Message>): Int {
-    return messages.sumOf { it.content.length }
-  }
-
-  override suspend fun createEmbeddings(request: EmbeddingRequest): EmbeddingResult {
-    return EmbeddingResult(data = emptyList(), usage = Usage.ZERO)
-  }
-}
diff --git a/openai/src/jvmTest/kotlin/openai/data/models.kt b/openai/src/jvmTest/kotlin/openai/data/models.kt
deleted file mode 100644
index 188aa3ec1..000000000
--- a/openai/src/jvmTest/kotlin/openai/data/models.kt
+++ /dev/null
@@ -1,7 +0,0 @@
-package openai.data
-
-import kotlinx.serialization.Serializable
-
-@Serializable data class Question(val question: String)
-
-@Serializable data class Answer(val bar: String)