OpenAI Client update

core/src/commonMain/kotlin/com/xebia/functional/xef/llm/ChatWithFunctions.kt

@@ -29,7 +29,7 @@ fun chatFunctions(descriptors: List<SerialDescriptor>): List<FunctionObject> =
   descriptors.map(::chatFunction)
 
 fun chatFunction(fnName: String, schema: JsonObject): FunctionObject =
-  FunctionObject(fnName, schema, "Generated function for $fnName")
+  FunctionObject(fnName, "Generated function for $fnName", schema)
 
 @AiDsl
 suspend fun <A> ChatApi.prompt(

core/src/commonMain/kotlin/com/xebia/functional/xef/llm/StreamedFunction.kt

@@ -61,65 +61,72 @@ sealed class StreamedFunction<out A> {
       val schema = function.parameters
       // we create an example from the schema from which we can expect and infer the paths
       // as the LLM is sending us chunks with malformed JSON
-      val example = createExampleFromSchema(schema)
-      chat
-        .createChatCompletionStream(request)
-        .onCompletion {
-          val newMessages = prompt.messages + messages
-          newMessages.addToMemory(
-            scope,
-            prompt.configuration.messagePolicy.addMessagesToConversation
-          )
-        }
-        .collect { responseChunk ->
-          // Each chunk is emitted from the LLM and it will include a delta.parameters with
-          // the function is streaming, the JSON received will be partial and usually malformed
-          // and needs to be inspected and clean up to stream properties before
-          // the final result is ready
+      if (schema != null) {
+        val example = createExampleFromSchema(schema)
+        chat
+          .createChatCompletionStream(request)
+          .onCompletion {
+            val newMessages = prompt.messages + messages
+            newMessages.addToMemory(
+              scope,
+              prompt.configuration.messagePolicy.addMessagesToConversation
+            )
+          }
+          .collect { responseChunk ->
+            // Each chunk is emitted from the LLM and it will include a delta.parameters with
+            // the function is streaming, the JSON received will be partial and usually malformed
+            // and needs to be inspected and clean up to stream properties before
+            // the final result is ready
 
-          // every response chunk contains a list of choices
-          if (responseChunk.choices.isNotEmpty()) {
-            // the delta contains the last emission while emitting the json character by character
-            val delta = responseChunk.choices.first().delta
-            // at any point the delta may be the last one
-            val finishReason = responseChunk.choices.first().finishReason
-            val toolCalls = delta.toolCalls.orEmpty()
-            toolCalls.forEach { toolCall ->
-              val fn = toolCall.function
-              val functionName = fn?.name
-              val arguments = fn?.arguments.orEmpty()
-              if (functionName != null)
-              // update the function name with the latest one
-              functionCall = functionCall.copy(name = functionName)
-              if (arguments.isNotEmpty()) {
-                // update the function arguments with the latest ones
-                functionCall = mergeArgumentsWithDelta(functionCall, toolCall)
-                // once we have info about the args we detect the last property referenced
-                // while streaming the arguments for the function call
-                val currentArg = getLastReferencedPropertyInArguments(functionCall)
-                if (currentProperty != currentArg && currentArg != null) {
-                  // if the current property is different than the last one
-                  // we update the path
-                  // a change of property happens and we try to stream it
+            // every response chunk contains a list of choices
+            if (responseChunk.choices.isNotEmpty()) {
+              // the delta contains the last emission while emitting the json character by character
+              val delta = responseChunk.choices.first().delta
+              // at any point the delta may be the last one
+              val finishReason = responseChunk.choices.first().finishReason
+              val toolCalls = delta.toolCalls.orEmpty()
+              toolCalls.forEach { toolCall ->
+                val fn = toolCall.function
+                val functionName = fn?.name
+                val arguments = fn?.arguments.orEmpty()
+                if (functionName != null)
+                // update the function name with the latest one
+                functionCall = functionCall.copy(name = functionName)
+                if (arguments.isNotEmpty()) {
+                  // update the function arguments with the latest ones
+                  functionCall = mergeArgumentsWithDelta(functionCall, toolCall)
+                  // once we have info about the args we detect the last property referenced
+                  // while streaming the arguments for the function call
+                  val currentArg = getLastReferencedPropertyInArguments(functionCall)
+                  if (currentProperty != currentArg && currentArg != null) {
+                    // if the current property is different than the last one
+                    // we update the path
+                    // a change of property happens and we try to stream it
+                    streamProperty(
+                      path,
+                      currentProperty,
+                      functionCall.arguments,
+                      streamedProperties
+                    )
+                    path = findPropertyPath(example, currentArg) ?: listOf(currentArg)
+                  }
+                  // update the current property being evaluated
+                  currentProperty = currentArg
+                }
+                if (finishReason != null) {
+                  // the stream is finished and we try to stream the last property
+                  // because the previous chunk may had a partial property whose body
+                  // may had not been fully streamed
                   streamProperty(path, currentProperty, functionCall.arguments, streamedProperties)
-                  path = findPropertyPath(example, currentArg) ?: listOf(currentArg)
                 }
-                // update the current property being evaluated
-                currentProperty = currentArg
               }
               if (finishReason != null) {
-                // the stream is finished and we try to stream the last property
-                // because the previous chunk may had a partial property whose body
-                // may had not been fully streamed
-                streamProperty(path, currentProperty, functionCall.arguments, streamedProperties)
+                // we stream the result
+                streamResult(functionCall, messages, serializer)
               }
             }
-            if (finishReason != null) {
-              // we stream the result
-              streamResult(functionCall, messages, serializer)
-            }
           }
-        }
+      }
     }
 
     private suspend fun <A> FlowCollector<StreamedFunction<A>>.streamResult(

core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/AssistantThread.kt

@@ -117,7 +117,8 @@ class AssistantThread(
             instructions = "",
             tools = emptyList(),
             fileIds = emptyList(),
-            metadata = null
+            metadata = null,
+            usage = null
           )
         )
       )

core/src/commonTest/kotlin/com/xebia/functional/xef/data/TestChatApi.kt

@@ -47,7 +47,8 @@ class TestChatApi(
                     )
                 ),
               finishReason = CreateChatCompletionResponseChoicesInner.FinishReason.stop,
-              index = 0
+              index = 0,
+              logprobs = null
             )
           ),
         usage = CompletionUsage(0, 0, 0)

openai-client/client/.openapi-generator/FILES

@@ -1,12 +1,9 @@
-src/commonMain/kotlin/com/xebia/functional/openai/apis/AssistantApi.kt
 src/commonMain/kotlin/com/xebia/functional/openai/apis/AssistantsApi.kt
 src/commonMain/kotlin/com/xebia/functional/openai/apis/AudioApi.kt
 src/commonMain/kotlin/com/xebia/functional/openai/apis/ChatApi.kt
 src/commonMain/kotlin/com/xebia/functional/openai/apis/CompletionsApi.kt
-src/commonMain/kotlin/com/xebia/functional/openai/apis/EditsApi.kt
 src/commonMain/kotlin/com/xebia/functional/openai/apis/EmbeddingsApi.kt
 src/commonMain/kotlin/com/xebia/functional/openai/apis/FilesApi.kt
-src/commonMain/kotlin/com/xebia/functional/openai/apis/FineTunesApi.kt
 src/commonMain/kotlin/com/xebia/functional/openai/apis/FineTuningApi.kt
 src/commonMain/kotlin/com/xebia/functional/openai/apis/ImagesApi.kt
 src/commonMain/kotlin/com/xebia/functional/openai/apis/ModelsApi.kt
@@ -40,6 +37,8 @@ src/commonMain/kotlin/com/xebia/functional/openai/models/ChatCompletionResponseM
 src/commonMain/kotlin/com/xebia/functional/openai/models/ChatCompletionRole.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/ChatCompletionStreamResponseDelta.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/ChatCompletionStreamResponseDeltaFunctionCall.kt
+src/commonMain/kotlin/com/xebia/functional/openai/models/ChatCompletionTokenLogprob.kt
+src/commonMain/kotlin/com/xebia/functional/openai/models/ChatCompletionTokenLogprobTopLogprobsInner.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/ChatCompletionTool.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CompletionUsage.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateAssistantFileRequest.kt
@@ -50,24 +49,18 @@ src/commonMain/kotlin/com/xebia/functional/openai/models/CreateChatCompletionReq
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateChatCompletionRequestResponseFormat.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateChatCompletionResponse.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateChatCompletionResponseChoicesInner.kt
+src/commonMain/kotlin/com/xebia/functional/openai/models/CreateChatCompletionResponseChoicesInnerLogprobs.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateChatCompletionStreamResponse.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateChatCompletionStreamResponseChoicesInner.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateCompletionRequest.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateCompletionRequestModel.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateCompletionResponse.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateCompletionResponseChoicesInner.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateCompletionResponseChoicesInnerLogprobs.kt
-src/commonMain/kotlin/com/xebia/functional/openai/models/CreateEditRequest.kt
-src/commonMain/kotlin/com/xebia/functional/openai/models/CreateEditRequestModel.kt
-src/commonMain/kotlin/com/xebia/functional/openai/models/CreateEditResponse.kt
-src/commonMain/kotlin/com/xebia/functional/openai/models/CreateEditResponseChoicesInner.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateEmbeddingRequest.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateEmbeddingRequestModel.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateEmbeddingResponse.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateEmbeddingResponseUsage.kt
-src/commonMain/kotlin/com/xebia/functional/openai/models/CreateFineTuneRequest.kt
-src/commonMain/kotlin/com/xebia/functional/openai/models/CreateFineTuneRequestHyperparameters.kt
-src/commonMain/kotlin/com/xebia/functional/openai/models/CreateFineTuneRequestModel.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateFineTuningJobRequest.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateFineTuningJobRequestHyperparameters.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/CreateFineTuningJobRequestModel.kt
@@ -99,9 +92,6 @@ src/commonMain/kotlin/com/xebia/functional/openai/models/DeleteThreadResponse.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/Embedding.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/Error.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/ErrorResponse.kt
-src/commonMain/kotlin/com/xebia/functional/openai/models/FineTune.kt
-src/commonMain/kotlin/com/xebia/functional/openai/models/FineTuneEvent.kt
-src/commonMain/kotlin/com/xebia/functional/openai/models/FineTuneHyperparams.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/FineTuningJob.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/FineTuningJobError.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/FineTuningJobEvent.kt
@@ -112,8 +102,6 @@ src/commonMain/kotlin/com/xebia/functional/openai/models/ImagesResponse.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/ListAssistantFilesResponse.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/ListAssistantsResponse.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/ListFilesResponse.kt
-src/commonMain/kotlin/com/xebia/functional/openai/models/ListFineTuneEventsResponse.kt
-src/commonMain/kotlin/com/xebia/functional/openai/models/ListFineTunesResponse.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/ListFineTuningJobEventsResponse.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/ListMessageFilesResponse.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/ListMessagesResponse.kt
@@ -140,10 +128,12 @@ src/commonMain/kotlin/com/xebia/functional/openai/models/ModifyMessageRequest.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/ModifyRunRequest.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/ModifyThreadRequest.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/OpenAIFile.kt
+src/commonMain/kotlin/com/xebia/functional/openai/models/RunCompletionUsage.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/RunObject.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/RunObjectLastError.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/RunObjectRequiredAction.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/RunObjectRequiredActionSubmitToolOutputs.kt
+src/commonMain/kotlin/com/xebia/functional/openai/models/RunStepCompletionUsage.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/RunStepDetailsMessageCreationObjectMessageCreation.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/RunStepDetailsToolCallsCodeObject.kt
 src/commonMain/kotlin/com/xebia/functional/openai/models/RunStepDetailsToolCallsCodeObjectCodeInterpreter.kt

openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/apis/AssistantsApi.kt

@@ -26,6 +26,7 @@ import com.xebia.functional.openai.models.ListRunStepsResponse
 import com.xebia.functional.openai.models.ListRunsResponse
 import com.xebia.functional.openai.models.MessageFileObject
 import com.xebia.functional.openai.models.MessageObject
+import com.xebia.functional.openai.models.ModifyAssistantRequest
 import com.xebia.functional.openai.models.ModifyMessageRequest
 import com.xebia.functional.openai.models.ModifyRunRequest
 import com.xebia.functional.openai.models.ModifyThreadRequest
@@ -957,6 +958,38 @@ open class AssistantsApi : ApiClient {
     return request(localVariableConfig, localVariableBody, localVariableAuthNames).wrap()
   }
 
+  /**
+   * Modifies an assistant.
+   *
+   * @param assistantId The ID of the assistant to modify.
+   * @param modifyAssistantRequest
+   * @return AssistantObject
+   */
+  @Suppress("UNCHECKED_CAST")
+  open suspend fun modifyAssistant(
+    assistantId: kotlin.String,
+    modifyAssistantRequest: ModifyAssistantRequest
+  ): HttpResponse<AssistantObject> {
+
+    val localVariableAuthNames = listOf<String>("ApiKeyAuth")
+
+    val localVariableBody = modifyAssistantRequest
+
+    val localVariableQuery = mutableMapOf<String, List<String>>()
+    val localVariableHeaders = mutableMapOf<String, String>()
+
+    val localVariableConfig =
+      RequestConfig<kotlin.Any?>(
+        RequestMethod.POST,
+        "/assistants/{assistant_id}".replace("{" + "assistant_id" + "}", "$assistantId"),
+        query = localVariableQuery,
+        headers = localVariableHeaders,
+        requiresAuthentication = true,
+      )
+
+    return jsonRequest(localVariableConfig, localVariableBody, localVariableAuthNames).wrap()
+  }
+
   /**
    * Modifies a message.
    *

openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/apis/AudioApi.kt

@@ -80,6 +80,14 @@ open class AudioApi : ApiClient {
     @SerialName(value = "vtt") vtt("vtt")
   }
 
+  /** enum for parameter timestampGranularities */
+  @Serializable
+  enum class TimestampGranularitiesCreateTranscription(val value: kotlin.String) {
+
+    @SerialName(value = "word") word("word"),
+    @SerialName(value = "segment") segment("segment")
+  }
+
   /**
    * Transcribes audio into the input language.
    *
@@ -100,6 +108,10 @@ open class AudioApi : ApiClient {
    *   deterministic. If set to 0, the model will use
    *   [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase
    *   the temperature until certain thresholds are hit. (optional, default to 0)
+   * @param timestampGranularities The timestamp granularities to populate for this transcription.
+   *   Any of these options: `word`, or `segment`. Note: There is no additional
+   *   latency for segment timestamps, but generating word timestamps incurs additional latency.
+   *   (optional, default to segment)
    * @return CreateTranscriptionResponse
    */
   @Suppress("UNCHECKED_CAST")
@@ -109,7 +121,9 @@ open class AudioApi : ApiClient {
     language: kotlin.String? = null,
     prompt: kotlin.String? = null,
     responseFormat: ResponseFormatCreateTranscription? = ResponseFormatCreateTranscription.json,
-    temperature: kotlin.Double? = 0.toDouble()
+    temperature: kotlin.Double? = 0.toDouble(),
+    timestampGranularities: kotlin.collections.List<TimestampGranularitiesCreateTranscription>? =
+      TimestampGranularitiesCreateTranscription.segment.asListOfOne()
   ): HttpResponse<CreateTranscriptionResponse> {
 
     val localVariableAuthNames = listOf<String>("ApiKeyAuth")
@@ -121,6 +135,7 @@ open class AudioApi : ApiClient {
       prompt?.apply { appendGen("prompt", prompt) }
       responseFormat?.apply { appendGen("response_format", responseFormat) }
       temperature?.apply { appendGen("temperature", temperature) }
+      timestampGranularities?.onEach { appendGen("timestamp_granularities[][]", it) }
     }
 
     val localVariableQuery = mutableMapOf<String, List<String>>()

openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/apis/FilesApi.kt

@@ -47,11 +47,12 @@ open class FilesApi : ApiClient {
   }
 
   /**
-   * Upload a file that can be used across various endpoints/features. The size of all the files
-   * uploaded by one organization can be up to 100 GB. The size of individual files for can be a
-   * maximum of 512MB. See the [Assistants Tools guide](/docs/assistants/tools) to learn more about
-   * the types of files supported. The Fine-tuning API only supports `.jsonl` files.
-   * Please [contact us](https://help.openai.com/) if you need to increase these storage limits.
+   * Upload a file that can be used across various endpoints. The size of all the files uploaded by
+   * one organization can be up to 100 GB. The size of individual files can be a maximum of 512 MB
+   * or 2 million tokens for Assistants. See the [Assistants Tools guide](/docs/assistants/tools) to
+   * learn more about the types of files supported. The Fine-tuning API only supports
+   * `.jsonl` files. Please [contact us](https://help.openai.com/) if you need to increase
+   * these storage limits.
    *
    * @param file The File object (not file name) to be uploaded.
    * @param purpose The intended purpose of the uploaded file. Use \\\"fine-tune\\\" for

openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/apis/FineTuningApi.kt

@@ -70,9 +70,9 @@ open class FineTuningApi : ApiClient {
   }
 
   /**
-   * Creates a job that fine-tunes a specified model from a given dataset. Response includes details
-   * of the enqueued job including job status and the name of the fine-tuned models once complete.
-   * [Learn more about fine-tuning](/docs/guides/fine-tuning)
+   * Creates a fine-tuning job which begins the process of creating a new model from a given
+   * dataset. Response includes details of the enqueued job including job status and the name of the
+   * fine-tuned models once complete. [Learn more about fine-tuning](/docs/guides/fine-tuning)
    *
    * @param createFineTuningJobRequest
    * @return FineTuningJob

openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/infrastructure/extensions.kt

@@ -0,0 +1,3 @@
+package com.xebia.functional.openai.infrastructure
+
+fun <A> A.asListOfOne(): List<A> = listOf(this)