diff --git a/sdk/openai/Azure.AI.OpenAI/CHANGELOG.md b/sdk/openai/Azure.AI.OpenAI/CHANGELOG.md index 5d1c12cbad6de..2db09f5d025e4 100644 --- a/sdk/openai/Azure.AI.OpenAI/CHANGELOG.md +++ b/sdk/openai/Azure.AI.OpenAI/CHANGELOG.md @@ -4,10 +4,19 @@ ### Features Added -- Introduced model factory `Azure.AI.OpenAI.AzureOpenAIModelFactory` for mocking. +- DALL-E image generation is now supported. See [the Azure OpenAI quickstart](https://learn.microsoft.com/azure/cognitive-services/openai/dall-e-quickstart) for conceptual background and detailed setup instructions. + - `OpenAIClient` gains a new `GetImageGenerations` method that accepts an `ImageGenerationOptions` and produces an `ImageGenerations` via its response. This response object encapsulates the temporary storage location of generated images for future retrieval. + - In contrast to other capabilities, DALL-E image generation does not require explicit creation or specification of a deployment or model. Its surface as such does not include this concept. +- Functions for chat completions are now supported: see [OpenAI's blog post on the topic](https://openai.com/blog/function-calling-and-other-api-updates) for much more detail. + - A list of `FunctionDefinition` objects may be populated on `ChatCompletionsOptions` via its `Functions` property. These definitions include a name and description together with a serialized JSON Schema representation of its parameters; these parameters can be generated easily via `BinaryData.FromObjectAsJson` with dynamic objects -- see the README for example usage. + - **NOTE**: Chat Functions requires a minimum of the `-0613` model versions for `gpt-4` and `gpt-3.5-turbo`/`gpt-35-turbo`. Please ensure you're using these later model versions, as Functions are not supported with older model revisions. For Azure OpenAI, you can update a deployment's model version or create a new model deployment with an updated version via the Azure AI Studio interface, also accessible through Azure Portal. +- (Azure OpenAI specific) Completions and Chat Completions responses now include embedded content filter annotations for prompts and responses +- A new `Azure.AI.OpenAI.AzureOpenAIModelFactory` is now present for mocking. ### Breaking Changes +- `ChatMessage`'s one-parameter constructor has been replaced with a no-parameter constructor. Please replace any hybrid construction with one of these two options that either completely rely on property setting or completely rely on constructor parameters. + ### Bugs Fixed ### Other Changes diff --git a/sdk/openai/Azure.AI.OpenAI/README.md b/sdk/openai/Azure.AI.OpenAI/README.md index 3750498c827db..0a1e1d236593b 100644 --- a/sdk/openai/Azure.AI.OpenAI/README.md +++ b/sdk/openai/Azure.AI.OpenAI/README.md @@ -221,6 +221,129 @@ await foreach (StreamingChatChoice choice in streamingChatCompletions.GetChoices } ``` +### Use Chat Functions + +Chat Functions allow a caller of Chat Completions to define capabilities that the model can use to extend its +functionality into external tools and data sources. + +You can read more about Chat Functions on OpenAI's blog: https://openai.com/blog/function-calling-and-other-api-updates + +**NOTE**: Chat Functions require model versions beginning with gpt-4 and gpt-3.5-turbo's `-0613` labels. They are not +available with older versions of the models. + +To use Chat Functions, you first define the function you'd like the model to be able to use when appropriate. Using +the example from the linked blog post, above: + +```C# Snippet:ChatFunctions:DefineFunction +var getWeatherFuntionDefinition = new FunctionDefinition() +{ + Name = "get_current_weather", + Description = "Get the current weather in a given location", + Parameters = BinaryData.FromObjectAsJson( + new + { + Type = "object", + Properties = new + { + Location = new + { + Type = "string", + Description = "The city and state, e.g. San Francisco, CA", + }, + Unit = new + { + Type = "string", + Enum = new[] { "celsius", "fahrenheit" }, + } + }, + Required = new[] { "location" }, + }, + new JsonSerializerOptions() { PropertyNamingPolicy = JsonNamingPolicy.CamelCase }), +}; +``` + +With the function defined, it can then be used in a Chat Completions request via its options. Function data is +handled across multiple calls that build up data for subsequent stateless requests, so we maintain a list of chat +messages as a form of conversation history. + +```C# Snippet:ChatFunctions:RequestWithFunctions +var conversationMessages = new List() +{ + new(ChatRole.User, "What is the weather like in Boston?"), +}; + +var chatCompletionsOptions = new ChatCompletionsOptions(); +foreach (ChatMessage chatMessage in conversationMessages) +{ + chatCompletionsOptions.Messages.Add(chatMessage); +} +chatCompletionsOptions.Functions.Add(getWeatherFuntionDefinition); + +Response response = await client.GetChatCompletionsAsync( + "gpt-35-turbo-0613", + chatCompletionsOptions); +``` + +If the model determines that it should call a Chat Function, a finish reason of 'FunctionCall' will be populated on +the choice and details will be present in the response message's `FunctionCall` property. Usually, the name of the +function call will be one that was provided and the arguments will be a populated JSON document matching the schema +included in the `FunctionDefinition` used; it is **not guaranteed** that this data is valid or even properly formatted, +however, so validation and error checking should always accompany function call processing. + +To resolve the function call and continue the user-facing interaction, process the argument payload as needed and then +serialize appropriate response data into a new message with `ChatRole.Function`. Then make a new request with all of +the messages so far -- the initial `User` message, the first response's `FunctionCall` message, and the resolving +`Function` message generated in reply to the function call -- so the model can use the data to better formulate a chat +completions response. + +Note that the function call response you provide does not need to follow any schema provided in the initial call. The +model will infer usage of the response data based on inferred context of names and fields. + +```C# Snippet:ChatFunctions:HandleFunctionCall +ChatChoice responseChoice = response.Value.Choices[0]; +if (responseChoice.FinishReason == CompletionsFinishReason.FunctionCall) +{ + // Include the FunctionCall message in the conversation history + conversationMessages.Add(responseChoice.Message); + + if (responseChoice.Message.FunctionCall.Name == "get_current_weather") + { + // Validate and process the JSON arguments for the function call + string unvalidatedArguments = responseChoice.Message.FunctionCall.Arguments; + var functionResultData = (object)null; // GetYourFunctionResultData(unvalidatedArguments); + // Here, replacing with an example as if returned from GetYourFunctionResultData + functionResultData = new + { + Temperature = 31, + Unit = "celsius", + }; + // Serialize the result data from the function into a new chat message with the 'Function' role, + // then add it to the messages after the first User message and initial response FunctionCall + var functionResponseMessage = new ChatMessage( + ChatRole.Function, + JsonSerializer.Serialize( + functionResultData, + new JsonSerializerOptions() { PropertyNamingPolicy = JsonNamingPolicy.CamelCase })); + conversationMessages.Add(functionResponseMessage); + // Now make a new request using all three messages in conversationMessages + } +} +``` + +### Generate images with DALL-E image generation models + +```C# Snippet:GenerateImages +Response imageGenerations = await client.GetImageGenerationsAsync( + new ImageGenerationOptions() + { + Prompt = "a happy monkey eating a banana, in watercolor", + Size = ImageSize.Size256x256, + }); + +// Image Generations responses provide URLs you can use to retrieve requested images +Uri imageUri = imageGenerations.Value.Data[0].Url; +``` + ## Troubleshooting When you interact with Azure OpenAI using the .NET SDK, errors returned by the service correspond to the same HTTP status codes returned for [REST API][openai_rest] requests. diff --git a/sdk/openai/Azure.AI.OpenAI/api/Azure.AI.OpenAI.netstandard2.0.cs b/sdk/openai/Azure.AI.OpenAI/api/Azure.AI.OpenAI.netstandard2.0.cs index b7f6431121f02..7d58cc92635a3 100644 --- a/sdk/openai/Azure.AI.OpenAI/api/Azure.AI.OpenAI.netstandard2.0.cs +++ b/sdk/openai/Azure.AI.OpenAI/api/Azure.AI.OpenAI.netstandard2.0.cs @@ -1,21 +1,30 @@ namespace Azure.AI.OpenAI { - public static partial class AIOpenAIModelFactory + public static partial class AzureOpenAIModelFactory { - public static Azure.AI.OpenAI.Choice Choice(string text = null, int index = 0, Azure.AI.OpenAI.CompletionsLogProbabilityModel logProbabilityModel = null, Azure.AI.OpenAI.CompletionsFinishReason finishReason = default(Azure.AI.OpenAI.CompletionsFinishReason)) { throw null; } + public static Azure.AI.OpenAI.ChatChoice ChatChoice(Azure.AI.OpenAI.ChatMessage message = null, int index = 0, Azure.AI.OpenAI.CompletionsFinishReason finishReason = default(Azure.AI.OpenAI.CompletionsFinishReason), Azure.AI.OpenAI.ChatMessage deltaMessage = null, Azure.AI.OpenAI.ContentFilterResults contentFilterResults = null) { throw null; } + public static Azure.AI.OpenAI.ChatCompletions ChatCompletions(string id = null, System.DateTimeOffset created = default(System.DateTimeOffset), System.Collections.Generic.IEnumerable choices = null, System.Collections.Generic.IEnumerable promptFilterResults = null, Azure.AI.OpenAI.CompletionsUsage usage = null) { throw null; } + public static Azure.AI.OpenAI.Choice Choice(string text = null, int index = 0, Azure.AI.OpenAI.ContentFilterResults contentFilterResults = null, Azure.AI.OpenAI.CompletionsLogProbabilityModel logProbabilityModel = null, Azure.AI.OpenAI.CompletionsFinishReason finishReason = default(Azure.AI.OpenAI.CompletionsFinishReason)) { throw null; } + public static Azure.AI.OpenAI.Completions Completions(string id = null, System.DateTimeOffset created = default(System.DateTimeOffset), System.Collections.Generic.IEnumerable promptFilterResults = null, System.Collections.Generic.IEnumerable choices = null, Azure.AI.OpenAI.CompletionsUsage usage = null) { throw null; } public static Azure.AI.OpenAI.CompletionsLogProbabilityModel CompletionsLogProbabilityModel(System.Collections.Generic.IEnumerable tokens = null, System.Collections.Generic.IEnumerable tokenLogProbabilities = null, System.Collections.Generic.IEnumerable> topLogProbabilities = null, System.Collections.Generic.IEnumerable textOffsets = null) { throw null; } public static Azure.AI.OpenAI.CompletionsUsage CompletionsUsage(int completionTokens = 0, int promptTokens = 0, int totalTokens = 0) { throw null; } + public static Azure.AI.OpenAI.ContentFilterResult ContentFilterResult(Azure.AI.OpenAI.ContentFilterSeverity severity = default(Azure.AI.OpenAI.ContentFilterSeverity), bool filtered = false) { throw null; } + public static Azure.AI.OpenAI.ContentFilterResults ContentFilterResults(Azure.AI.OpenAI.ContentFilterResult sexual = null, Azure.AI.OpenAI.ContentFilterResult violence = null, Azure.AI.OpenAI.ContentFilterResult hate = null, Azure.AI.OpenAI.ContentFilterResult selfHarm = null) { throw null; } public static Azure.AI.OpenAI.EmbeddingItem EmbeddingItem(System.Collections.Generic.IEnumerable embedding = null, int index = 0) { throw null; } public static Azure.AI.OpenAI.Embeddings Embeddings(System.Collections.Generic.IEnumerable data = null, Azure.AI.OpenAI.EmbeddingsUsage usage = null) { throw null; } public static Azure.AI.OpenAI.EmbeddingsUsage EmbeddingsUsage(int promptTokens = 0, int totalTokens = 0) { throw null; } - } - public static partial class AzureOpenAIModelFactory - { - public static Azure.AI.OpenAI.Choice Choice(string text = null, int index = 0, Azure.AI.OpenAI.CompletionsLogProbabilityModel logProbabilityModel = null, Azure.AI.OpenAI.CompletionsFinishReason finishReason = default(Azure.AI.OpenAI.CompletionsFinishReason)) { throw null; } + public static Azure.AI.OpenAI.ImageGenerations ImageGenerations(System.DateTimeOffset created = default(System.DateTimeOffset), System.Collections.Generic.IEnumerable data = null) { throw null; } + public static Azure.AI.OpenAI.ImageLocation ImageLocation(System.Uri url = null) { throw null; } + public static Azure.AI.OpenAI.PromptFilterResult PromptFilterResult(int promptIndex = 0, Azure.AI.OpenAI.ContentFilterResults contentFilterResults = null) { throw null; } + public static Azure.AI.OpenAI.StreamingChatChoice StreamingChatChoice(Azure.AI.OpenAI.ChatChoice originalBaseChoice = null) { throw null; } + public static Azure.AI.OpenAI.StreamingChatCompletions StreamingChatCompletions(Azure.AI.OpenAI.ChatCompletions baseChatCompletions = null, System.Collections.Generic.List streamingChatChoices = null) { throw null; } + public static Azure.AI.OpenAI.StreamingChoice StreamingChoice(Azure.AI.OpenAI.Choice originalBaseChoice = null) { throw null; } + public static Azure.AI.OpenAI.StreamingCompletions StreamingCompletions(Azure.AI.OpenAI.Completions baseCompletions = null, System.Collections.Generic.List streamingChoices = null) { throw null; } } public partial class ChatChoice { internal ChatChoice() { } + public Azure.AI.OpenAI.ContentFilterResults ContentFilterResults { get { throw null; } } public Azure.AI.OpenAI.CompletionsFinishReason FinishReason { get { throw null; } } public int Index { get { throw null; } } public Azure.AI.OpenAI.ChatMessage Message { get { throw null; } } @@ -26,6 +35,7 @@ internal ChatCompletions() { } public System.Collections.Generic.IReadOnlyList Choices { get { throw null; } } public System.DateTimeOffset Created { get { throw null; } } public string Id { get { throw null; } } + public System.Collections.Generic.IReadOnlyList PromptFilterResults { get { throw null; } } public Azure.AI.OpenAI.CompletionsUsage Usage { get { throw null; } } } public partial class ChatCompletionsOptions @@ -34,6 +44,8 @@ public ChatCompletionsOptions() { } public ChatCompletionsOptions(System.Collections.Generic.IEnumerable messages) { } public int? ChoiceCount { get { throw null; } set { } } public float? FrequencyPenalty { get { throw null; } set { } } + public Azure.AI.OpenAI.FunctionDefinition FunctionCall { get { throw null; } set { } } + public System.Collections.Generic.IList Functions { get { throw null; } set { } } public int? MaxTokens { get { throw null; } set { } } public System.Collections.Generic.IList Messages { get { throw null; } } public float? NucleusSamplingFactor { get { throw null; } set { } } @@ -45,9 +57,11 @@ public ChatCompletionsOptions(System.Collections.Generic.IEnumerable Choices { get { throw null; } } public System.DateTimeOffset Created { get { throw null; } } public string Id { get { throw null; } } + public System.Collections.Generic.IReadOnlyList PromptFilterResults { get { throw null; } } public Azure.AI.OpenAI.CompletionsUsage Usage { get { throw null; } } } [System.Runtime.InteropServices.StructLayoutAttribute(System.Runtime.InteropServices.LayoutKind.Sequential)] @@ -92,6 +109,7 @@ internal Completions() { } private readonly int _dummyPrimitive; public CompletionsFinishReason(string value) { throw null; } public static Azure.AI.OpenAI.CompletionsFinishReason ContentFiltered { get { throw null; } } + public static Azure.AI.OpenAI.CompletionsFinishReason FunctionCall { get { throw null; } } public static Azure.AI.OpenAI.CompletionsFinishReason Stopped { get { throw null; } } public static Azure.AI.OpenAI.CompletionsFinishReason TokenLimitReached { get { throw null; } } public bool Equals(Azure.AI.OpenAI.CompletionsFinishReason other) { throw null; } @@ -137,6 +155,40 @@ internal CompletionsUsage() { } public int PromptTokens { get { throw null; } } public int TotalTokens { get { throw null; } } } + public partial class ContentFilterResult + { + internal ContentFilterResult() { } + public bool Filtered { get { throw null; } } + public Azure.AI.OpenAI.ContentFilterSeverity Severity { get { throw null; } } + } + public partial class ContentFilterResults + { + internal ContentFilterResults() { } + public Azure.AI.OpenAI.ContentFilterResult Hate { get { throw null; } } + public Azure.AI.OpenAI.ContentFilterResult SelfHarm { get { throw null; } } + public Azure.AI.OpenAI.ContentFilterResult Sexual { get { throw null; } } + public Azure.AI.OpenAI.ContentFilterResult Violence { get { throw null; } } + } + [System.Runtime.InteropServices.StructLayoutAttribute(System.Runtime.InteropServices.LayoutKind.Sequential)] + public readonly partial struct ContentFilterSeverity : System.IEquatable + { + private readonly object _dummy; + private readonly int _dummyPrimitive; + public ContentFilterSeverity(string value) { throw null; } + public static Azure.AI.OpenAI.ContentFilterSeverity High { get { throw null; } } + public static Azure.AI.OpenAI.ContentFilterSeverity Low { get { throw null; } } + public static Azure.AI.OpenAI.ContentFilterSeverity Medium { get { throw null; } } + public static Azure.AI.OpenAI.ContentFilterSeverity Safe { get { throw null; } } + public bool Equals(Azure.AI.OpenAI.ContentFilterSeverity other) { throw null; } + [System.ComponentModel.EditorBrowsableAttribute(System.ComponentModel.EditorBrowsableState.Never)] + public override bool Equals(object obj) { throw null; } + [System.ComponentModel.EditorBrowsableAttribute(System.ComponentModel.EditorBrowsableState.Never)] + public override int GetHashCode() { throw null; } + public static bool operator ==(Azure.AI.OpenAI.ContentFilterSeverity left, Azure.AI.OpenAI.ContentFilterSeverity right) { throw null; } + public static implicit operator Azure.AI.OpenAI.ContentFilterSeverity (string value) { throw null; } + public static bool operator !=(Azure.AI.OpenAI.ContentFilterSeverity left, Azure.AI.OpenAI.ContentFilterSeverity right) { throw null; } + public override string ToString() { throw null; } + } public partial class EmbeddingItem { internal EmbeddingItem() { } @@ -151,6 +203,7 @@ internal Embeddings() { } } public partial class EmbeddingsOptions { + public EmbeddingsOptions() { } public EmbeddingsOptions(System.Collections.Generic.IEnumerable input) { } public EmbeddingsOptions(string input) { } public System.Collections.Generic.IList Input { get { throw null; } } @@ -162,6 +215,61 @@ internal EmbeddingsUsage() { } public int PromptTokens { get { throw null; } } public int TotalTokens { get { throw null; } } } + public partial class FunctionCall + { + public FunctionCall(string name, string arguments) { } + public string Arguments { get { throw null; } set { } } + public string Name { get { throw null; } set { } } + } + public partial class FunctionDefinition + { + public static Azure.AI.OpenAI.FunctionDefinition Auto; + public static Azure.AI.OpenAI.FunctionDefinition None; + public FunctionDefinition() { } + public FunctionDefinition(string name) { } + public string Description { get { throw null; } set { } } + public string Name { get { throw null; } set { } } + public System.BinaryData Parameters { get { throw null; } set { } } + } + public partial class ImageGenerationOptions + { + public ImageGenerationOptions() { } + public ImageGenerationOptions(string prompt) { } + public int? ImageCount { get { throw null; } set { } } + public string Prompt { get { throw null; } set { } } + public Azure.AI.OpenAI.ImageSize? Size { get { throw null; } set { } } + public string User { get { throw null; } set { } } + } + public partial class ImageGenerations + { + internal ImageGenerations() { } + public System.DateTimeOffset Created { get { throw null; } } + public System.Collections.Generic.IReadOnlyList Data { get { throw null; } } + } + public partial class ImageLocation + { + internal ImageLocation() { } + public System.Uri Url { get { throw null; } } + } + [System.Runtime.InteropServices.StructLayoutAttribute(System.Runtime.InteropServices.LayoutKind.Sequential)] + public readonly partial struct ImageSize : System.IEquatable + { + private readonly object _dummy; + private readonly int _dummyPrimitive; + public ImageSize(string value) { throw null; } + public static Azure.AI.OpenAI.ImageSize Size1024x1024 { get { throw null; } } + public static Azure.AI.OpenAI.ImageSize Size256x256 { get { throw null; } } + public static Azure.AI.OpenAI.ImageSize Size512x512 { get { throw null; } } + public bool Equals(Azure.AI.OpenAI.ImageSize other) { throw null; } + [System.ComponentModel.EditorBrowsableAttribute(System.ComponentModel.EditorBrowsableState.Never)] + public override bool Equals(object obj) { throw null; } + [System.ComponentModel.EditorBrowsableAttribute(System.ComponentModel.EditorBrowsableState.Never)] + public override int GetHashCode() { throw null; } + public static bool operator ==(Azure.AI.OpenAI.ImageSize left, Azure.AI.OpenAI.ImageSize right) { throw null; } + public static implicit operator Azure.AI.OpenAI.ImageSize (string value) { throw null; } + public static bool operator !=(Azure.AI.OpenAI.ImageSize left, Azure.AI.OpenAI.ImageSize right) { throw null; } + public override string ToString() { throw null; } + } public partial class OpenAIClient { protected OpenAIClient() { } @@ -184,16 +292,26 @@ public OpenAIClient(System.Uri endpoint, Azure.Core.TokenCredential tokenCredent public virtual System.Threading.Tasks.Task> GetCompletionsStreamingAsync(string deploymentOrModelName, Azure.AI.OpenAI.CompletionsOptions completionsOptions, System.Threading.CancellationToken cancellationToken = default(System.Threading.CancellationToken)) { throw null; } public virtual Azure.Response GetEmbeddings(string deploymentOrModelName, Azure.AI.OpenAI.EmbeddingsOptions embeddingsOptions, System.Threading.CancellationToken cancellationToken = default(System.Threading.CancellationToken)) { throw null; } public virtual System.Threading.Tasks.Task> GetEmbeddingsAsync(string deploymentOrModelName, Azure.AI.OpenAI.EmbeddingsOptions embeddingsOptions, System.Threading.CancellationToken cancellationToken = default(System.Threading.CancellationToken)) { throw null; } + public virtual Azure.Response GetImageGenerations(Azure.AI.OpenAI.ImageGenerationOptions imageGenerationOptions, System.Threading.CancellationToken cancellationToken = default(System.Threading.CancellationToken)) { throw null; } + public virtual System.Threading.Tasks.Task> GetImageGenerationsAsync(Azure.AI.OpenAI.ImageGenerationOptions imageGenerationOptions, System.Threading.CancellationToken cancellationToken = default(System.Threading.CancellationToken)) { throw null; } } public partial class OpenAIClientOptions : Azure.Core.ClientOptions { - public OpenAIClientOptions(Azure.AI.OpenAI.OpenAIClientOptions.ServiceVersion version = Azure.AI.OpenAI.OpenAIClientOptions.ServiceVersion.V2023_03_15_Preview) { } + public OpenAIClientOptions(Azure.AI.OpenAI.OpenAIClientOptions.ServiceVersion version = Azure.AI.OpenAI.OpenAIClientOptions.ServiceVersion.V2023_07_01_Preview) { } public enum ServiceVersion { V2022_12_01 = 1, - V2023_03_15_Preview = 2, + V2023_05_15 = 2, + V2023_06_01_Preview = 3, + V2023_07_01_Preview = 4, } } + public partial class PromptFilterResult + { + internal PromptFilterResult() { } + public Azure.AI.OpenAI.ContentFilterResults ContentFilterResults { get { throw null; } } + public int PromptIndex { get { throw null; } } + } public partial class StreamingChatChoice { internal StreamingChatChoice() { } diff --git a/sdk/openai/Azure.AI.OpenAI/src/Azure.AI.OpenAI.csproj b/sdk/openai/Azure.AI.OpenAI/src/Azure.AI.OpenAI.csproj index 374e26185599a..ff146f80ad431 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Azure.AI.OpenAI.csproj +++ b/sdk/openai/Azure.AI.OpenAI/src/Azure.AI.OpenAI.csproj @@ -25,4 +25,7 @@ + + + diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/AzureOpenAIModelFactory.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/AzureOpenAIModelFactory.cs index 9914245030d64..6d3ade9bdb7c3 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Custom/AzureOpenAIModelFactory.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/AzureOpenAIModelFactory.cs @@ -5,31 +5,76 @@ #nullable disable -using System; using System.Collections.Generic; -using System.Linq; +using Azure.Core; namespace Azure.AI.OpenAI { /// Model factory for models. + [CodeGenModel("AIOpenAIModelFactory")] public static partial class AzureOpenAIModelFactory { - /// Initializes a new instance of Choice. - /// The generated text for a given completions prompt. - /// The ordered index associated with this completions choice. - /// The log probabilities model for tokens associated with this completions choice. - /// Reason for finishing. - /// is null. - /// A new instance for mocking. - public static Choice Choice(string text = null, int index = default, CompletionsLogProbabilityModel logProbabilityModel = null, CompletionsFinishReason finishReason = default) + /// Initializes a new instance of ChatChoice. + /// The chat message associated with this chat completions choice + /// The ordered index associated with this chat completions choice. + /// The reason that this chat completions choice completed its generated. + /// For streamed choices, the internal representation of a 'delta' payload + /// The category annotations for this chat choice's content filtering + /// A new instance for mocking. + public static ChatChoice ChatChoice( + ChatMessage message = null, + int index = default, + CompletionsFinishReason finishReason = default, + ChatMessage deltaMessage = null, + ContentFilterResults contentFilterResults = null) { - if (text == null) - { - throw new ArgumentNullException(nameof(text)); - } - // Custom code: remove inappropriate null check of nullable CompletionsLogProbabilityModel + return new ChatChoice(message, index, finishReason, deltaMessage, contentFilterResults); + } + + /// + /// Initializes a new instance of StreamingChoice for tests and mocking. + /// + /// An underlying Choice for this streaming representation + /// A new instance of StreamingChoice + public static StreamingChoice StreamingChoice(Choice originalBaseChoice = null) + { + return new StreamingChoice(originalBaseChoice); + } - return new Choice(text, index, logProbabilityModel, finishReason); + /// + /// Initializes a new instance of StreamingCompletions for tests and mocking. + /// + /// The non-streaming completions to base this streaming representation on + /// The streaming choices associated with this streaming completions + /// A new instance of StreamingCompletions + public static StreamingCompletions StreamingCompletions( + Completions baseCompletions = null, + List streamingChoices = null) + { + return new StreamingCompletions(baseCompletions, streamingChoices); + } + + /// + /// Initializes a new instance of StreamingChatChoice for tests and mocking. + /// + /// An underlying ChatChoice for this streaming representation + /// A new instance of StreamingChatChoice + public static StreamingChatChoice StreamingChatChoice(ChatChoice originalBaseChoice = null) + { + return new StreamingChatChoice(originalBaseChoice); + } + + /// + /// Initializes a new instance of StreamingChatCompletions for tests and mocking. + /// + /// The non-streaming completions to base this streaming representation on + /// The streaming choices associated with this streaming chat completions + /// A new instance of StreamingChatCompletions + public static StreamingChatCompletions StreamingChatCompletions( + ChatCompletions baseChatCompletions = null, + List streamingChatChoices = null) + { + return new StreamingChatCompletions(baseChatCompletions, streamingChatChoices); } } } diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatCompletions.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatCompletions.cs deleted file mode 100644 index da767563be725..0000000000000 --- a/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatCompletions.cs +++ /dev/null @@ -1,21 +0,0 @@ -// Copyright (c) Microsoft Corporation. All rights reserved. -// Licensed under the MIT License. - -// - -#nullable disable - -using System; -using System.Collections.Generic; -using System.Linq; -using Azure.Core; - -namespace Azure.AI.OpenAI -{ - public partial class ChatCompletions - { - internal int InternalCreatedSecondsAfterUnixEpoch { get; } - - public DateTimeOffset Created => DateTimeOffset.FromUnixTimeSeconds(InternalCreatedSecondsAfterUnixEpoch); - } -} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatCompletionsOptions.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatCompletionsOptions.Serialization.cs index 03f9f685fbc9a..00c394d08dca0 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatCompletionsOptions.Serialization.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatCompletionsOptions.Serialization.cs @@ -5,6 +5,7 @@ #nullable disable +using System; using System.Collections.Generic; using System.Text.Json; using Azure; @@ -25,6 +26,38 @@ void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) writer.WriteObjectValue(item); } writer.WriteEndArray(); + if (Optional.IsDefined(Functions) && Functions.Count > 0) + { + writer.WritePropertyName("functions"u8); + writer.WriteStartArray(); + foreach (var item in Functions) + { + if (item.IsPredefined) + { + throw new ArgumentException( + @"Predefined function definitions such as 'auto' and 'none' cannot be provided as + custom functions. These should only be used to constrain the FunctionCall option."); + } + writer.WriteObjectValue(item); + } + writer.WriteEndArray(); + } + if (Optional.IsDefined(FunctionCall)) + { + writer.WritePropertyName("function_call"); + + if (FunctionCall.IsPredefined) + { + writer.WriteStringValue(FunctionCall.Name); + } + else + { + writer.WriteStartObject(); + writer.WritePropertyName("name"); + writer.WriteStringValue(FunctionCall.Name); + writer.WriteEndObject(); + } + } if (Optional.IsDefined(MaxTokens)) { if (MaxTokens != null) diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatCompletionsOptions.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatCompletionsOptions.cs index a00c1a9a0a40e..997a6d343201b 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatCompletionsOptions.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatCompletionsOptions.cs @@ -43,6 +43,32 @@ public partial class ChatCompletionsOptions /// public string User { get; set; } + /// A list of functions the model may generate JSON inputs for. + public IList Functions { get; set; } + + /// + /// Controls how the model will use provided Functions. + /// + /// + /// + /// + /// Providing a custom will request that the model limit its + /// completions to function calls for that function. + /// + /// + /// represents the default behavior and will allow the model + /// to freely select between issuing a stanard completions response or a call to any provided + /// function. + /// + /// + /// will request that the model only issue standard + /// completions responses, irrespective of provided functions. Note that the function definitions + /// provided may still influence the completions content. + /// + /// + /// + public FunctionDefinition FunctionCall { get; set; } + internal IDictionary InternalStringKeyedTokenSelectionBiases { get; } internal string InternalNonAzureModelName { get; set; } @@ -64,12 +90,15 @@ public ChatCompletionsOptions(IEnumerable messages) Messages = messages.ToList(); TokenSelectionBiases = new ChangeTrackingDictionary(); StopSequences = new ChangeTrackingList(); + Functions = new ChangeTrackingList(); } /// public ChatCompletionsOptions() : this(new ChangeTrackingList()) { + // CUSTOM CODE NOTE: Empty constructors are added to options classes to facilitate property-only use; this + // may be reconsidered for required payload constituents in the future. } } } diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatMessage.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatMessage.cs index 57ddde42e2b5d..c8254a65729d7 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatMessage.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatMessage.cs @@ -11,13 +11,9 @@ namespace Azure.AI.OpenAI public partial class ChatMessage { /// Initializes a new instance of ChatMessage. - /// The role associated with this message payload. - /// The text associated with this message payload. - public ChatMessage(ChatRole role, string content) + public ChatMessage() { // Note: this constructor is custom purely to facilitate it having public visibility. - Role = role; - Content = content; } } } diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatRole.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatRole.cs deleted file mode 100644 index 3f24dbd336f4d..0000000000000 --- a/sdk/openai/Azure.AI.OpenAI/src/Custom/ChatRole.cs +++ /dev/null @@ -1,14 +0,0 @@ -// Copyright (c) Microsoft Corporation. All rights reserved. -// Licensed under the MIT License. - -#nullable disable - -using System; - -namespace Azure.AI.OpenAI -{ - public readonly partial struct ChatRole : IEquatable - { - // The custom partial definition of this type exists purely to add the converter type for JSON. - } -} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/Completions.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/Completions.cs deleted file mode 100644 index 81549c2882d32..0000000000000 --- a/sdk/openai/Azure.AI.OpenAI/src/Custom/Completions.cs +++ /dev/null @@ -1,21 +0,0 @@ -// Copyright (c) Microsoft Corporation. All rights reserved. -// Licensed under the MIT License. - -// - -#nullable disable - -using System; -using System.Collections.Generic; -using System.Linq; -using Azure.Core; - -namespace Azure.AI.OpenAI -{ - public partial class Completions - { - internal int InternalCreatedSecondsAfterUnixEpoch { get; } - - public DateTimeOffset Created => DateTimeOffset.FromUnixTimeSeconds(InternalCreatedSecondsAfterUnixEpoch); - } -} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/CompletionsFinishReason.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/CompletionsFinishReason.cs index 44e6f6895b58b..1b4d2b859f2b8 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Custom/CompletionsFinishReason.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/CompletionsFinishReason.cs @@ -13,10 +13,6 @@ namespace Azure.AI.OpenAI /// Representation of the manner in which a completions response concluded. public readonly partial struct CompletionsFinishReason { - private const string StoppedValue = "stop"; - private const string TokenLimitReachedValue = "length"; - private const string ContentFilteredValue = "content_filter"; - /// Initializes a new instance of . public CompletionsFinishReason(string value) { diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/CompletionsOptions.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/CompletionsOptions.cs index 72b053c5d685c..8a3103573bc38 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Custom/CompletionsOptions.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/CompletionsOptions.cs @@ -166,6 +166,8 @@ public CompletionsOptions(IEnumerable prompts) public CompletionsOptions() : this(new ChangeTrackingList()) { + // CUSTOM CODE NOTE: Empty constructors are added to options classes to facilitate property-only use; this + // may be reconsidered for required payload constituents in the future. } } } diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/EmbeddingsOptions.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/EmbeddingsOptions.cs index b411a44c280df..813d1e8cc796b 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Custom/EmbeddingsOptions.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/EmbeddingsOptions.cs @@ -20,5 +20,12 @@ public EmbeddingsOptions(string input) : this(new string[] { input }) { } + + /// + public EmbeddingsOptions() + { + // CUSTOM CODE NOTE: Empty constructors are added to options classes to facilitate property-only use; this + // may be reconsidered for required payload constituents in the future. + } } } diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/FunctionCall.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/FunctionCall.cs new file mode 100644 index 0000000000000..225f2eb633b66 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/FunctionCall.cs @@ -0,0 +1,33 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; + +namespace Azure.AI.OpenAI +{ + /// The name and arguments of a function that should be called, as generated by the model. + public partial class FunctionCall + { + /// Initializes a new instance of FunctionCall. + /// The name of the function to call. + /// + /// The arguments to call the function with, as generated by the model in JSON format. + /// Note that the model does not always generate valid JSON, and may hallucinate parameters + /// not defined by your function schema. Validate the arguments in your code before calling + /// your function. + /// + public FunctionCall(string name, string arguments) + { + // Custom code note: we suppress null checks for deserialization reuse in streaming scenarios + // Argument.AssertNotNull(name, nameof(name)); + // Argument.AssertNotNull(arguments, nameof(arguments)); + + Name = name; + Arguments = arguments; + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/FunctionCallPreset.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/FunctionCallPreset.cs new file mode 100644 index 0000000000000..f37368629f275 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/FunctionCallPreset.cs @@ -0,0 +1,9 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +using System; + +namespace Azure.AI.OpenAI; + +internal readonly partial struct FunctionCallPreset : IEquatable +{} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/FunctionDefinition.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/FunctionDefinition.cs new file mode 100644 index 0000000000000..423a4b7ba6495 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/FunctionDefinition.cs @@ -0,0 +1,44 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + /// The definition of a caller-specified function that chat completions may invoke in response to matching user input. + public partial class FunctionDefinition + { + /// + public static FunctionDefinition Auto + = CreatePredefinedFunctionDefinition(FunctionCallPreset.Auto.ToString()); + + /// + public static FunctionDefinition None + = CreatePredefinedFunctionDefinition(FunctionCallPreset.None.ToString()); + + /// + /// Initializes a new instance of FunctionDefinition. + /// + public FunctionDefinition() + { + // CUSTOM CODE NOTE: Empty constructors are added to options classes to facilitate property-only use; this + // may be reconsidered for required payload constituents in the future. + } + + /// The name of the function to be called. + public string Name { get; set; } + + internal bool IsPredefined { get; set; } = false; + + internal static FunctionDefinition CreatePredefinedFunctionDefinition(string functionName) + => new FunctionDefinition(functionName) + { + IsPredefined = true + }; + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/FunctionName.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/FunctionName.cs new file mode 100644 index 0000000000000..cadb329db0476 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/FunctionName.cs @@ -0,0 +1,10 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +namespace Azure.AI.OpenAI +{ + // CUSTOM CODE NOTE: defined here to suppress public visibility, as this is encapsulated in static members on + // FuntionDefinition, instead. + internal partial class FunctionName + {} +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/ImageGenerationOptions.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/ImageGenerationOptions.cs new file mode 100644 index 0000000000000..05803a8af66fe --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/ImageGenerationOptions.cs @@ -0,0 +1,33 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +namespace Azure.AI.OpenAI +{ + /// Represents the request data used to generate images. + public partial class ImageGenerationOptions + { + /// Initializes a new instance of ImageGenerationOptions. + public ImageGenerationOptions() + { + // CUSTOM CODE NOTE: Empty constructors are added to options classes to facilitate property-only use; this + // may be reconsidered for required payload constituents in the future. + } + + /// + /// Gets or sets the description used to influence the generation of requested images. + /// + /// + /// For best results, ensure that the prompt is specific and sufficiently rich in details about + /// desired topical content. + /// + public string Prompt { get; set; } + + // Custom code note: we suppress the ResponseFormat field as it'll be handled by unique method signatures + // for the differing response types (separate URL and b64 methods) + internal ImageGenerationResponseFormat? ResponseFormat { get; set; } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/ImageGenerationResponseFormat.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/ImageGenerationResponseFormat.cs new file mode 100644 index 0000000000000..14d394346e34f --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/ImageGenerationResponseFormat.cs @@ -0,0 +1,18 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; + +namespace Azure.AI.OpenAI +{ + // Custom code note: we explicitly pre-set the visibility of the response format "enum-like" to internal as + // response format will be handled by separate method signatures for URL/b64/etc.. + + internal readonly partial struct ImageGenerationResponseFormat : IEquatable + { + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/ImageGenerations.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/ImageGenerations.cs new file mode 100644 index 0000000000000..8daf3e4ad6206 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/ImageGenerations.cs @@ -0,0 +1,38 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using System.Collections.Generic; +using System.Runtime.CompilerServices; +using System.Text.Json; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + /// The result of an image generation operation. + public partial class ImageGenerations + { + /// + /// Gets a list of generated image items in the format specified for the request. + /// + [CodeGenMemberSerializationHooks(DeserializationValueHook = nameof(DeserializeDataProperty))] + public IReadOnlyList Data { get; } + + [MethodImpl(MethodImplOptions.AggressiveInlining)] + internal static void DeserializeDataProperty(JsonProperty property, ref IReadOnlyList data) + { + // CUSTOM CODE NOTE: this hook for Data is needed pending improved codegen support for union types; it + // otherwise generates with "property.Value.()" + List array = new List(); + foreach (var item in property.Value.EnumerateArray()) + { + array.Add(ImageLocation.DeserializeImageLocation(item)); + } + data = array; + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/OpenAIClient.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/OpenAIClient.cs index 8ef75f0e5fbee..7a475676e79f6 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Custom/OpenAIClient.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/OpenAIClient.cs @@ -4,9 +4,6 @@ #nullable disable using System; -using System.Collections.Specialized; -using System.IO; -using System.Text.Json; using System.Threading; using System.Threading.Tasks; using Azure.Core; @@ -96,7 +93,13 @@ public OpenAIClient(Uri endpoint, TokenCredential tokenCredential, OpenAIClientO ClientDiagnostics = new ClientDiagnostics(options, true); _tokenCredential = tokenCredential; - _pipeline = HttpPipelineBuilder.Build(options, Array.Empty(), new HttpPipelinePolicy[] { new BearerTokenAuthenticationPolicy(_tokenCredential, AuthorizationScopes) }, new ResponseClassifier()); + _pipeline = HttpPipelineBuilder.Build( + options, + Array.Empty(), + new HttpPipelinePolicy[] { + new BearerTokenAuthenticationPolicy(_tokenCredential, AuthorizationScopes) + }, + new ResponseClassifier()); _endpoint = endpoint; _apiVersion = options.Version; } @@ -573,6 +576,128 @@ public virtual async Task> GetEmbeddingsAsync( } } + /// + /// Get a set of generated images influenced by a provided textual prompt. + /// + /// + /// The configuration information for the image generation request that controls the content, + /// size, and other details about generated images. + /// + /// + /// An optional cancellation token that may be used to abort an ongoing request. + /// + /// + /// The response information for the image generations request. + /// + public virtual Response GetImageGenerations( + ImageGenerationOptions imageGenerationOptions, + CancellationToken cancellationToken = default) + { + Argument.AssertNotNull(imageGenerationOptions, nameof(imageGenerationOptions)); + + using DiagnosticScope scope = ClientDiagnostics.CreateScope("OpenAIClient.GetImageGenerations"); + scope.Start(); + + try + { + Response rawResponse = default; + ImageGenerations responseValue = default; + + if (_isConfiguredForAzureOpenAI) + { + Operation imagesOperation + = BeginAzureBatchImageGeneration( + WaitUntil.Completed, + imageGenerationOptions, + cancellationToken); + + rawResponse = imagesOperation.GetRawResponse(); + BatchImageGenerationOperationResponse operationResponse = imagesOperation.Value; + + responseValue = operationResponse.Result; + } + else + { + RequestContext context = FromCancellationToken(cancellationToken); + HttpMessage message = CreatePostRequestMessage( + string.Empty, + "images/generations", + content: imageGenerationOptions.ToRequestContent(), + context); + rawResponse = _pipeline.ProcessMessage(message, context, cancellationToken); + responseValue = ImageGenerations.FromResponse(rawResponse); + } + return Response.FromValue(responseValue, rawResponse); + } + catch (Exception e) + { + scope.Failed(e); + throw; + } + } + + /// + /// Get a set of generated images influenced by a provided textual prompt. + /// + /// + /// The configuration information for the image generation request that controls the content, + /// size, and other details about generated images. + /// + /// + /// An optional cancellation token that may be used to abort an ongoing request. + /// + /// + /// The response information for the image generations request. + /// + public virtual async Task> GetImageGenerationsAsync( + ImageGenerationOptions imageGenerationOptions, + CancellationToken cancellationToken = default) + { + Argument.AssertNotNull(imageGenerationOptions, nameof(imageGenerationOptions)); + + using DiagnosticScope scope = ClientDiagnostics.CreateScope("OpenAIClient.GetImageGenerations"); + scope.Start(); + + try + { + Response rawResponse = default; + ImageGenerations responseValue = default; + + if (_isConfiguredForAzureOpenAI) + { + Operation imagesOperation + = await BeginAzureBatchImageGenerationAsync( + WaitUntil.Completed, + imageGenerationOptions, + cancellationToken) + .ConfigureAwait(false); + + rawResponse = imagesOperation.GetRawResponse(); + BatchImageGenerationOperationResponse operationResponse = imagesOperation.Value; + + responseValue = operationResponse.Result; + } + else + { + RequestContext context = FromCancellationToken(cancellationToken); + HttpMessage message = CreatePostRequestMessage( + string.Empty, + "images/generations", + content: imageGenerationOptions.ToRequestContent(), + context); + rawResponse = await _pipeline.ProcessMessageAsync(message, context, cancellationToken) + .ConfigureAwait(false); + responseValue = ImageGenerations.FromResponse(rawResponse); + } + return Response.FromValue(responseValue, rawResponse); + } + catch (Exception e) + { + scope.Failed(e); + throw; + } + } + internal RequestUriBuilder GetUri(string deploymentOrModelName, string operationPath) { var uri = new RawRequestUriBuilder(); diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/StreamingChatCompletions.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/StreamingChatCompletions.cs index e82f1a3593d93..8f86823b91f55 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Custom/StreamingChatCompletions.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/StreamingChatCompletions.cs @@ -18,9 +18,9 @@ public class StreamingChatCompletions : IDisposable private readonly Response _baseResponse; private readonly SseReader _baseResponseReader; private readonly IList _baseChatCompletions; - private readonly object _baseCompletionsLock = new object(); + private readonly object _baseCompletionsLock = new(); private readonly IList _streamingChatChoices; - private readonly object _streamingChoicesLock = new object(); + private readonly object _streamingChoicesLock = new(); private readonly AsyncAutoResetEvent _updateAvailableEvent; private bool _streamingTaskComplete; private bool _disposedValue; @@ -29,12 +29,12 @@ public class StreamingChatCompletions : IDisposable /// /// Gets the earliest Completion creation timestamp associated with this streamed response. /// - public DateTimeOffset Created => GetLocked(() => _baseChatCompletions.First().Created); + public DateTimeOffset Created => GetLocked(() => _baseChatCompletions.Last().Created); /// /// Gets the unique identifier associated with this streaming Completions response. /// - public string Id => GetLocked(() => _baseChatCompletions.First().Id); + public string Id => GetLocked(() => _baseChatCompletions.Last().Id); internal StreamingChatCompletions(Response response) { @@ -84,7 +84,7 @@ internal StreamingChatCompletions(Response response) .FirstOrDefault(chatChoice => chatChoice.Index == chatChoiceFromSse.Index); if (existingStreamingChoice == null) { - StreamingChatChoice newStreamingChatChoice = new StreamingChatChoice(chatChoiceFromSse); + StreamingChatChoice newStreamingChatChoice = new(chatChoiceFromSse); _streamingChatChoices.Add(newStreamingChatChoice); _updateAvailableEvent.Set(); } @@ -160,6 +160,15 @@ public async IAsyncEnumerable GetChoicesStreaming( } } + internal StreamingChatCompletions( + ChatCompletions baseChatCompletions = null, + List streamingChatChoices = null) + { + _baseChatCompletions.Add(baseChatCompletions); + _streamingChatChoices = streamingChatChoices; + _streamingTaskComplete = true; + } + public void Dispose() { Dispose(disposing: true); diff --git a/sdk/openai/Azure.AI.OpenAI/src/Custom/StreamingCompletions.cs b/sdk/openai/Azure.AI.OpenAI/src/Custom/StreamingCompletions.cs index beca7dcf34131..fd252d2cdae62 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Custom/StreamingCompletions.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Custom/StreamingCompletions.cs @@ -18,9 +18,9 @@ public class StreamingCompletions : IDisposable private readonly Response _baseResponse; private readonly SseReader _baseResponseReader; private readonly IList _baseCompletions; - private readonly object _baseCompletionsLock = new object(); + private readonly object _baseCompletionsLock = new(); private readonly IList _streamingChoices; - private readonly object _streamingChoicesLock = new object(); + private readonly object _streamingChoicesLock = new(); private readonly AsyncAutoResetEvent _updateAvailableEvent; private bool _streamingTaskComplete; private bool _disposedValue; @@ -29,12 +29,12 @@ public class StreamingCompletions : IDisposable /// /// Gets the earliest Completion creation timestamp associated with this streamed response. /// - public DateTimeOffset Created => GetLocked(() => _baseCompletions.First().Created); + public DateTimeOffset Created => GetLocked(() => _baseCompletions.Last().Created); /// /// Gets the unique identifier associated with this streaming Completions response. /// - public string Id => GetLocked(() => _baseCompletions.First().Id); + public string Id => GetLocked(() => _baseCompletions.Last().Id); internal StreamingCompletions(Response response) { @@ -84,7 +84,7 @@ internal StreamingCompletions(Response response) .FirstOrDefault(choice => choice.Index == choiceFromSse.Index); if (existingStreamingChoice == null) { - StreamingChoice newStreamingChoice = new StreamingChoice(choiceFromSse); + StreamingChoice newStreamingChoice = new(choiceFromSse); _streamingChoices.Add(newStreamingChoice); _updateAvailableEvent.Set(); } @@ -160,6 +160,15 @@ public async IAsyncEnumerable GetChoicesStreaming( } } + internal StreamingCompletions( + Completions baseCompletions = null, + IList streamingChoices = null) + { + _baseCompletions.Add(baseCompletions); + _streamingChoices = streamingChoices; + _streamingTaskComplete = true; + } + public void Dispose() { Dispose(disposing: true); diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/AIOpenAIModelFactory.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/AIOpenAIModelFactory.cs deleted file mode 100644 index a423a6d69aee3..0000000000000 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/AIOpenAIModelFactory.cs +++ /dev/null @@ -1,98 +0,0 @@ -// Copyright (c) Microsoft Corporation. All rights reserved. -// Licensed under the MIT License. - -// - -#nullable disable - -using System; -using System.Collections.Generic; -using System.Linq; - -namespace Azure.AI.OpenAI -{ - /// Model factory for models. - public static partial class AIOpenAIModelFactory - { - /// Initializes a new instance of Embeddings. - /// Embedding values for the prompts submitted in the request. - /// Usage counts for tokens input using the embeddings API. - /// A new instance for mocking. - public static Embeddings Embeddings(IEnumerable data = null, EmbeddingsUsage usage = null) - { - data ??= new List(); - - return new Embeddings(data?.ToList(), usage); - } - - /// Initializes a new instance of EmbeddingItem. - /// - /// List of embeddings value for the input prompt. These represent a measurement of the - /// vector-based relatedness of the provided input. - /// - /// Index of the prompt to which the EmbeddingItem corresponds. - /// A new instance for mocking. - public static EmbeddingItem EmbeddingItem(IEnumerable embedding = null, int index = default) - { - embedding ??= new List(); - - return new EmbeddingItem(embedding?.ToList(), index); - } - - /// Initializes a new instance of EmbeddingsUsage. - /// Number of tokens sent in the original request. - /// Total number of tokens transacted in this request/response. - /// A new instance for mocking. - public static EmbeddingsUsage EmbeddingsUsage(int promptTokens = default, int totalTokens = default) - { - return new EmbeddingsUsage(promptTokens, totalTokens); - } - - /// Initializes a new instance of Choice. - /// The generated text for a given completions prompt. - /// The ordered index associated with this completions choice. - /// The log probabilities model for tokens associated with this completions choice. - /// Reason for finishing. - /// or is null. - /// A new instance for mocking. - public static Choice Choice(string text = null, int index = default, CompletionsLogProbabilityModel logProbabilityModel = null, CompletionsFinishReason finishReason = default) - { - if (text == null) - { - throw new ArgumentNullException(nameof(text)); - } - if (logProbabilityModel == null) - { - throw new ArgumentNullException(nameof(logProbabilityModel)); - } - - return new Choice(text, index, logProbabilityModel, finishReason); - } - - /// Initializes a new instance of CompletionsLogProbabilityModel. - /// The textual forms of tokens evaluated in this probability model. - /// A collection of log probability values for the tokens in this completions data. - /// A mapping of tokens to maximum log probability values in this completions data. - /// The text offsets associated with tokens in this completions data. - /// A new instance for mocking. - public static CompletionsLogProbabilityModel CompletionsLogProbabilityModel(IEnumerable tokens = null, IEnumerable tokenLogProbabilities = null, IEnumerable> topLogProbabilities = null, IEnumerable textOffsets = null) - { - tokens ??= new List(); - tokenLogProbabilities ??= new List(); - topLogProbabilities ??= new List>(); - textOffsets ??= new List(); - - return new CompletionsLogProbabilityModel(tokens?.ToList(), tokenLogProbabilities?.ToList(), topLogProbabilities?.ToList(), textOffsets?.ToList()); - } - - /// Initializes a new instance of CompletionsUsage. - /// The number of tokens generated across all completions emissions. - /// The number of tokens in the provided prompts for the completions request. - /// The total number of tokens processed for the completions request and response. - /// A new instance for mocking. - public static CompletionsUsage CompletionsUsage(int completionTokens = default, int promptTokens = default, int totalTokens = default) - { - return new CompletionsUsage(completionTokens, promptTokens, totalTokens); - } - } -} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/AzureOpenAIModelFactory.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/AzureOpenAIModelFactory.cs new file mode 100644 index 0000000000000..fb7a5a186424d --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/AzureOpenAIModelFactory.cs @@ -0,0 +1,215 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using System.Collections.Generic; +using System.Linq; +using Azure; + +namespace Azure.AI.OpenAI +{ + /// Model factory for models. + public static partial class AzureOpenAIModelFactory + { + /// Initializes a new instance of Embeddings. + /// Embedding values for the prompts submitted in the request. + /// Usage counts for tokens input using the embeddings API. + /// A new instance for mocking. + public static Embeddings Embeddings(IEnumerable data = null, EmbeddingsUsage usage = null) + { + data ??= new List(); + + return new Embeddings(data?.ToList(), usage); + } + + /// Initializes a new instance of EmbeddingItem. + /// + /// List of embeddings value for the input prompt. These represent a measurement of the + /// vector-based relatedness of the provided input. + /// + /// Index of the prompt to which the EmbeddingItem corresponds. + /// A new instance for mocking. + public static EmbeddingItem EmbeddingItem(IEnumerable embedding = null, int index = default) + { + embedding ??= new List(); + + return new EmbeddingItem(embedding?.ToList(), index); + } + + /// Initializes a new instance of EmbeddingsUsage. + /// Number of tokens sent in the original request. + /// Total number of tokens transacted in this request/response. + /// A new instance for mocking. + public static EmbeddingsUsage EmbeddingsUsage(int promptTokens = default, int totalTokens = default) + { + return new EmbeddingsUsage(promptTokens, totalTokens); + } + + /// Initializes a new instance of Completions. + /// A unique identifier associated with this completions response. + /// + /// The first timestamp associated with generation activity for this completions response, + /// represented as seconds since the beginning of the Unix epoch of 00:00 on 1 Jan 1970. + /// + /// + /// Content filtering results for zero or more prompts in the request. In a streaming request, + /// results for different prompts may arrive at different times or in different orders. + /// + /// + /// The collection of completions choices associated with this completions response. + /// Generally, `n` choices are generated per provided prompt with a default value of 1. + /// Token limits and other settings may limit the number of choices generated. + /// + /// Usage information for tokens processed and generated as part of this completions operation. + /// A new instance for mocking. + public static Completions Completions(string id = null, DateTimeOffset created = default, IEnumerable promptFilterResults = null, IEnumerable choices = null, CompletionsUsage usage = null) + { + promptFilterResults ??= new List(); + choices ??= new List(); + + return new Completions(id, created, promptFilterResults?.ToList(), choices?.ToList(), usage); + } + + /// Initializes a new instance of PromptFilterResult. + /// The index of this prompt in the set of prompt results. + /// Content filtering results for this prompt. + /// A new instance for mocking. + public static PromptFilterResult PromptFilterResult(int promptIndex = default, ContentFilterResults contentFilterResults = null) + { + return new PromptFilterResult(promptIndex, contentFilterResults); + } + + /// Initializes a new instance of ContentFilterResults. + /// + /// Describes language related to anatomical organs and genitals, romantic relationships, + /// acts portrayed in erotic or affectionate terms, physical sexual acts, including + /// those portrayed as an assault or a forced sexual violent act against one’s will, + /// prostitution, pornography, and abuse. + /// + /// + /// Describes language related to physical actions intended to hurt, injure, damage, or + /// kill someone or something; describes weapons, etc. + /// + /// + /// Describes language attacks or uses that include pejorative or discriminatory language + /// with reference to a person or identity group on the basis of certain differentiating + /// attributes of these groups including but not limited to race, ethnicity, nationality, + /// gender identity and expression, sexual orientation, religion, immigration status, ability + /// status, personal appearance, and body size. + /// + /// + /// Describes language related to physical actions intended to purposely hurt, injure, + /// or damage one’s body, or kill oneself. + /// + /// A new instance for mocking. + public static ContentFilterResults ContentFilterResults(ContentFilterResult sexual = null, ContentFilterResult violence = null, ContentFilterResult hate = null, ContentFilterResult selfHarm = null) + { + return new ContentFilterResults(sexual, violence, hate, selfHarm); + } + + /// Initializes a new instance of ContentFilterResult. + /// Ratings for the intensity and risk level of filtered content. + /// A value indicating whether or not the content has been filtered. + /// A new instance for mocking. + public static ContentFilterResult ContentFilterResult(ContentFilterSeverity severity = default, bool filtered = default) + { + return new ContentFilterResult(severity, filtered); + } + + /// Initializes a new instance of Choice. + /// The generated text for a given completions prompt. + /// The ordered index associated with this completions choice. + /// + /// Information about the content filtering category (hate, sexual, violence, self_harm), if it + /// has been detected, as well as the severity level (very_low, low, medium, high-scale that + /// determines the intensity and risk level of harmful content) and if it has been filtered or not. + /// + /// The log probabilities model for tokens associated with this completions choice. + /// Reason for finishing. + /// A new instance for mocking. + public static Choice Choice(string text = null, int index = default, ContentFilterResults contentFilterResults = null, CompletionsLogProbabilityModel logProbabilityModel = null, CompletionsFinishReason finishReason = default) + { + return new Choice(text, index, contentFilterResults, logProbabilityModel, finishReason); + } + + /// Initializes a new instance of CompletionsLogProbabilityModel. + /// The textual forms of tokens evaluated in this probability model. + /// A collection of log probability values for the tokens in this completions data. + /// A mapping of tokens to maximum log probability values in this completions data. + /// The text offsets associated with tokens in this completions data. + /// A new instance for mocking. + public static CompletionsLogProbabilityModel CompletionsLogProbabilityModel(IEnumerable tokens = null, IEnumerable tokenLogProbabilities = null, IEnumerable> topLogProbabilities = null, IEnumerable textOffsets = null) + { + tokens ??= new List(); + tokenLogProbabilities ??= new List(); + topLogProbabilities ??= new List>(); + textOffsets ??= new List(); + + return new CompletionsLogProbabilityModel(tokens?.ToList(), tokenLogProbabilities?.ToList(), topLogProbabilities?.ToList(), textOffsets?.ToList()); + } + + /// Initializes a new instance of CompletionsUsage. + /// The number of tokens generated across all completions emissions. + /// The number of tokens in the provided prompts for the completions request. + /// The total number of tokens processed for the completions request and response. + /// A new instance for mocking. + public static CompletionsUsage CompletionsUsage(int completionTokens = default, int promptTokens = default, int totalTokens = default) + { + return new CompletionsUsage(completionTokens, promptTokens, totalTokens); + } + + /// Initializes a new instance of ChatCompletions. + /// A unique identifier associated with this chat completions response. + /// + /// The first timestamp associated with generation activity for this completions response, + /// represented as seconds since the beginning of the Unix epoch of 00:00 on 1 Jan 1970. + /// + /// + /// The collection of completions choices associated with this completions response. + /// Generally, `n` choices are generated per provided prompt with a default value of 1. + /// Token limits and other settings may limit the number of choices generated. + /// + /// + /// Content filtering results for zero or more prompts in the request. In a streaming request, + /// results for different prompts may arrive at different times or in different orders. + /// + /// Usage information for tokens processed and generated as part of this completions operation. + /// A new instance for mocking. + public static ChatCompletions ChatCompletions(string id = null, DateTimeOffset created = default, IEnumerable choices = null, IEnumerable promptFilterResults = null, CompletionsUsage usage = null) + { + choices ??= new List(); + promptFilterResults ??= new List(); + + return new ChatCompletions(id, created, choices?.ToList(), promptFilterResults?.ToList(), usage); + } + + /// Initializes a new instance of ImageGenerations. + /// A timestamp when this job or item was created (in unix epochs). + /// The images generated by the operator. + /// A new instance for mocking. + public static ImageGenerations ImageGenerations(DateTimeOffset created = default, IEnumerable data = null) + { + data ??= new List(); + + return new ImageGenerations(created, data?.ToList()); + } + + /// Initializes a new instance of ImageLocation. + /// The URL that provides temporary access to download the generated image. + /// is null. + /// A new instance for mocking. + public static ImageLocation ImageLocation(Uri url = null) + { + if (url == null) + { + throw new ArgumentNullException(nameof(url)); + } + + return new ImageLocation(url); + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/AzureOpenAIOperationState.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/AzureOpenAIOperationState.cs new file mode 100644 index 0000000000000..69d6772dfc5da --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/AzureOpenAIOperationState.cs @@ -0,0 +1,60 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using System.ComponentModel; + +namespace Azure.AI.OpenAI +{ + /// The state of a job or item. + internal readonly partial struct AzureOpenAIOperationState : IEquatable + { + private readonly string _value; + + /// Initializes a new instance of . + /// is null. + public AzureOpenAIOperationState(string value) + { + _value = value ?? throw new ArgumentNullException(nameof(value)); + } + + private const string NotRunningValue = "notRunning"; + private const string RunningValue = "running"; + private const string SucceededValue = "succeeded"; + private const string CanceledValue = "canceled"; + private const string FailedValue = "failed"; + + /// The operation was created and is queued to be processed in the future. + public static AzureOpenAIOperationState NotRunning { get; } = new AzureOpenAIOperationState(NotRunningValue); + /// The operation has started to be processed. + public static AzureOpenAIOperationState Running { get; } = new AzureOpenAIOperationState(RunningValue); + /// The operation has successfully be processed and is ready for consumption. + public static AzureOpenAIOperationState Succeeded { get; } = new AzureOpenAIOperationState(SucceededValue); + /// The operation has been canceled and is incomplete. + public static AzureOpenAIOperationState Canceled { get; } = new AzureOpenAIOperationState(CanceledValue); + /// The operation has completed processing with a failure and cannot be further consumed. + public static AzureOpenAIOperationState Failed { get; } = new AzureOpenAIOperationState(FailedValue); + /// Determines if two values are the same. + public static bool operator ==(AzureOpenAIOperationState left, AzureOpenAIOperationState right) => left.Equals(right); + /// Determines if two values are not the same. + public static bool operator !=(AzureOpenAIOperationState left, AzureOpenAIOperationState right) => !left.Equals(right); + /// Converts a string to a . + public static implicit operator AzureOpenAIOperationState(string value) => new AzureOpenAIOperationState(value); + + /// + [EditorBrowsable(EditorBrowsableState.Never)] + public override bool Equals(object obj) => obj is AzureOpenAIOperationState other && Equals(other); + /// + public bool Equals(AzureOpenAIOperationState other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase); + + /// + [EditorBrowsable(EditorBrowsableState.Never)] + public override int GetHashCode() => _value?.GetHashCode() ?? 0; + /// + public override string ToString() => _value; + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/BatchImageGenerationOperationResponse.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/BatchImageGenerationOperationResponse.Serialization.cs new file mode 100644 index 0000000000000..28fb1afe24985 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/BatchImageGenerationOperationResponse.Serialization.cs @@ -0,0 +1,85 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using System.Text.Json; +using Azure; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + internal partial class BatchImageGenerationOperationResponse + { + internal static BatchImageGenerationOperationResponse DeserializeBatchImageGenerationOperationResponse(JsonElement element) + { + if (element.ValueKind == JsonValueKind.Null) + { + return null; + } + string id = default; + DateTimeOffset created = default; + Optional expires = default; + Optional result = default; + AzureOpenAIOperationState status = default; + Optional error = default; + foreach (var property in element.EnumerateObject()) + { + if (property.NameEquals("id"u8)) + { + id = property.Value.GetString(); + continue; + } + if (property.NameEquals("created"u8)) + { + created = DateTimeOffset.FromUnixTimeSeconds(property.Value.GetInt64()); + continue; + } + if (property.NameEquals("expires"u8)) + { + if (property.Value.ValueKind == JsonValueKind.Null) + { + continue; + } + expires = property.Value.GetInt64(); + continue; + } + if (property.NameEquals("result"u8)) + { + if (property.Value.ValueKind == JsonValueKind.Null) + { + continue; + } + result = ImageGenerations.DeserializeImageGenerations(property.Value); + continue; + } + if (property.NameEquals("status"u8)) + { + status = new AzureOpenAIOperationState(property.Value.GetString()); + continue; + } + if (property.NameEquals("error"u8)) + { + if (property.Value.ValueKind == JsonValueKind.Null) + { + continue; + } + error = JsonSerializer.Deserialize(property.Value.GetRawText()); + continue; + } + } + return new BatchImageGenerationOperationResponse(id, created, Optional.ToNullable(expires), result.Value, status, error.Value); + } + + /// Deserializes the model from a raw response. + /// The response to deserialize the model from. + internal static BatchImageGenerationOperationResponse FromResponse(Response response) + { + using var document = JsonDocument.Parse(response.Content); + return DeserializeBatchImageGenerationOperationResponse(document.RootElement); + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/BatchImageGenerationOperationResponse.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/BatchImageGenerationOperationResponse.cs new file mode 100644 index 0000000000000..41f781c567603 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/BatchImageGenerationOperationResponse.cs @@ -0,0 +1,61 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using Azure; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + /// A polling status update or final response payload for an image operation. + internal partial class BatchImageGenerationOperationResponse + { + /// Initializes a new instance of BatchImageGenerationOperationResponse. + /// The ID of the operation. + /// A timestamp when this job or item was created (in unix epochs). + /// The status of the operation. + /// is null. + internal BatchImageGenerationOperationResponse(string id, DateTimeOffset created, AzureOpenAIOperationState status) + { + Argument.AssertNotNull(id, nameof(id)); + + Id = id; + Created = created; + Status = status; + } + + /// Initializes a new instance of BatchImageGenerationOperationResponse. + /// The ID of the operation. + /// A timestamp when this job or item was created (in unix epochs). + /// A timestamp when this operation and its associated images expire and will be deleted (in unix epochs). + /// The result of the operation if the operation succeeded. + /// The status of the operation. + /// The error if the operation failed. + internal BatchImageGenerationOperationResponse(string id, DateTimeOffset created, long? expires, ImageGenerations result, AzureOpenAIOperationState status, ResponseError error) + { + Id = id; + Created = created; + Expires = expires; + Result = result; + Status = status; + Error = error; + } + + /// The ID of the operation. + public string Id { get; } + /// A timestamp when this job or item was created (in unix epochs). + public DateTimeOffset Created { get; } + /// A timestamp when this operation and its associated images expire and will be deleted (in unix epochs). + public long? Expires { get; } + /// The result of the operation if the operation succeeded. + public ImageGenerations Result { get; } + /// The status of the operation. + public AzureOpenAIOperationState Status { get; } + /// The error if the operation failed. + public ResponseError Error { get; } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatChoice.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatChoice.Serialization.cs index 5c54cde879cb9..3bff6ea2e0a41 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatChoice.Serialization.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatChoice.Serialization.cs @@ -23,6 +23,7 @@ internal static ChatChoice DeserializeChatChoice(JsonElement element) int index = default; CompletionsFinishReason finishReason = default; Optional delta = default; + Optional contentFilterResults = default; foreach (var property in element.EnumerateObject()) { if (property.NameEquals("message"u8)) @@ -53,8 +54,17 @@ internal static ChatChoice DeserializeChatChoice(JsonElement element) delta = ChatMessage.DeserializeChatMessage(property.Value); continue; } + if (property.NameEquals("content_filter_results"u8)) + { + if (property.Value.ValueKind == JsonValueKind.Null) + { + continue; + } + contentFilterResults = ContentFilterResults.DeserializeContentFilterResults(property.Value); + continue; + } } - return new ChatChoice(message.Value, index, finishReason, delta.Value); + return new ChatChoice(message.Value, index, finishReason, delta.Value, contentFilterResults.Value); } /// Deserializes the model from a raw response. diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatChoice.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatChoice.cs index 70728769f6b53..ea0c7072f3499 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatChoice.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatChoice.cs @@ -28,12 +28,18 @@ internal ChatChoice(int index, CompletionsFinishReason finishReason) /// The ordered index associated with this chat completions choice. /// The reason that this chat completions choice completed its generated. /// The delta message content for a streaming response. - internal ChatChoice(ChatMessage message, int index, CompletionsFinishReason finishReason, ChatMessage internalStreamingDeltaMessage) + /// + /// Information about the content filtering category (hate, sexual, violence, self_harm), if it + /// has been detected, as well as the severity level (very_low, low, medium, high-scale that + /// determines the intensity and risk level of harmful content) and if it has been filtered or not. + /// + internal ChatChoice(ChatMessage message, int index, CompletionsFinishReason finishReason, ChatMessage internalStreamingDeltaMessage, ContentFilterResults contentFilterResults) { Message = message; Index = index; FinishReason = finishReason; InternalStreamingDeltaMessage = internalStreamingDeltaMessage; + ContentFilterResults = contentFilterResults; } /// The chat message for a given chat completions prompt. @@ -42,5 +48,11 @@ internal ChatChoice(ChatMessage message, int index, CompletionsFinishReason fini public int Index { get; } /// The reason that this chat completions choice completed its generated. public CompletionsFinishReason FinishReason { get; } + /// + /// Information about the content filtering category (hate, sexual, violence, self_harm), if it + /// has been detected, as well as the severity level (very_low, low, medium, high-scale that + /// determines the intensity and risk level of harmful content) and if it has been filtered or not. + /// + public ContentFilterResults ContentFilterResults { get; } } } diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatCompletions.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatCompletions.Serialization.cs index fa993a0a5a273..c75634744e9d4 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatCompletions.Serialization.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatCompletions.Serialization.cs @@ -5,6 +5,7 @@ #nullable disable +using System; using System.Collections.Generic; using System.Text.Json; using Azure; @@ -21,8 +22,9 @@ internal static ChatCompletions DeserializeChatCompletions(JsonElement element) return null; } string id = default; - int created = default; + DateTimeOffset created = default; IReadOnlyList choices = default; + Optional> promptAnnotations = default; CompletionsUsage usage = default; foreach (var property in element.EnumerateObject()) { @@ -33,7 +35,7 @@ internal static ChatCompletions DeserializeChatCompletions(JsonElement element) } if (property.NameEquals("created"u8)) { - created = property.Value.GetInt32(); + created = DateTimeOffset.FromUnixTimeSeconds(property.Value.GetInt64()); continue; } if (property.NameEquals("choices"u8)) @@ -46,13 +48,27 @@ internal static ChatCompletions DeserializeChatCompletions(JsonElement element) choices = array; continue; } + if (property.NameEquals("prompt_annotations"u8)) + { + if (property.Value.ValueKind == JsonValueKind.Null) + { + continue; + } + List array = new List(); + foreach (var item in property.Value.EnumerateArray()) + { + array.Add(PromptFilterResult.DeserializePromptFilterResult(item)); + } + promptAnnotations = array; + continue; + } if (property.NameEquals("usage"u8)) { usage = CompletionsUsage.DeserializeCompletionsUsage(property.Value); continue; } } - return new ChatCompletions(id, created, choices, usage); + return new ChatCompletions(id, created, choices, Optional.ToList(promptAnnotations), usage); } /// Deserializes the model from a raw response. diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatCompletions.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatCompletions.cs index 48ab1397bf7be..900c36f03432d 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatCompletions.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatCompletions.cs @@ -21,7 +21,7 @@ public partial class ChatCompletions { /// Initializes a new instance of ChatCompletions. /// A unique identifier associated with this chat completions response. - /// + /// /// The first timestamp associated with generation activity for this completions response, /// represented as seconds since the beginning of the Unix epoch of 00:00 on 1 Jan 1970. /// @@ -32,21 +32,22 @@ public partial class ChatCompletions /// /// Usage information for tokens processed and generated as part of this completions operation. /// , or is null. - internal ChatCompletions(string id, int internalCreatedSecondsAfterUnixEpoch, IEnumerable choices, CompletionsUsage usage) + internal ChatCompletions(string id, DateTimeOffset created, IEnumerable choices, CompletionsUsage usage) { Argument.AssertNotNull(id, nameof(id)); Argument.AssertNotNull(choices, nameof(choices)); Argument.AssertNotNull(usage, nameof(usage)); Id = id; - InternalCreatedSecondsAfterUnixEpoch = internalCreatedSecondsAfterUnixEpoch; + Created = created; Choices = choices.ToList(); + PromptFilterResults = new ChangeTrackingList(); Usage = usage; } /// Initializes a new instance of ChatCompletions. /// A unique identifier associated with this chat completions response. - /// + /// /// The first timestamp associated with generation activity for this completions response, /// represented as seconds since the beginning of the Unix epoch of 00:00 on 1 Jan 1970. /// @@ -55,23 +56,38 @@ internal ChatCompletions(string id, int internalCreatedSecondsAfterUnixEpoch, IE /// Generally, `n` choices are generated per provided prompt with a default value of 1. /// Token limits and other settings may limit the number of choices generated. /// + /// + /// Content filtering results for zero or more prompts in the request. In a streaming request, + /// results for different prompts may arrive at different times or in different orders. + /// /// Usage information for tokens processed and generated as part of this completions operation. - internal ChatCompletions(string id, int internalCreatedSecondsAfterUnixEpoch, IReadOnlyList choices, CompletionsUsage usage) + internal ChatCompletions(string id, DateTimeOffset created, IReadOnlyList choices, IReadOnlyList promptFilterResults, CompletionsUsage usage) { Id = id; - InternalCreatedSecondsAfterUnixEpoch = internalCreatedSecondsAfterUnixEpoch; + Created = created; Choices = choices; + PromptFilterResults = promptFilterResults; Usage = usage; } /// A unique identifier associated with this chat completions response. public string Id { get; } /// + /// The first timestamp associated with generation activity for this completions response, + /// represented as seconds since the beginning of the Unix epoch of 00:00 on 1 Jan 1970. + /// + public DateTimeOffset Created { get; } + /// /// The collection of completions choices associated with this completions response. /// Generally, `n` choices are generated per provided prompt with a default value of 1. /// Token limits and other settings may limit the number of choices generated. /// public IReadOnlyList Choices { get; } + /// + /// Content filtering results for zero or more prompts in the request. In a streaming request, + /// results for different prompts may arrive at different times or in different orders. + /// + public IReadOnlyList PromptFilterResults { get; } /// Usage information for tokens processed and generated as part of this completions operation. public CompletionsUsage Usage { get; } } diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatCompletionsOptions.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatCompletionsOptions.cs index 5fe242ebebc96..b69a93231bfd8 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatCompletionsOptions.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatCompletionsOptions.cs @@ -26,6 +26,13 @@ public partial class ChatCompletionsOptions /// the behavior of the assistant, followed by alternating messages between the User and /// Assistant roles. /// + /// A list of functions the model may generate JSON inputs for. + /// + /// Controls how the model responds to function calls. "none" means the model does not call a function, + /// and responds to the end-user. "auto" means the model can pick between an end-user or calling a function. + /// Specifying a particular function via `{"name": "my_function"}` forces the model to call that function. + /// "none" is the default when no functions are present. "auto" is the default if functions are present. + /// /// The maximum number of tokens to generate. /// /// The sampling temperature to use that controls the apparent creativity of generated completions. @@ -78,9 +85,11 @@ public partial class ChatCompletionsOptions /// Not applicable to Azure OpenAI, where deployment information should be included in the Azure /// resource URI that's connected to. /// - internal ChatCompletionsOptions(IList messages, int? maxTokens, float? temperature, float? nucleusSamplingFactor, IDictionary internalStringKeyedTokenSelectionBiases, string user, int? choiceCount, IList stopSequences, float? presencePenalty, float? frequencyPenalty, bool? internalShouldStreamResponse, string internalNonAzureModelName) + internal ChatCompletionsOptions(IList messages, IList functions, FunctionDefinition functionCall, int? maxTokens, float? temperature, float? nucleusSamplingFactor, IDictionary internalStringKeyedTokenSelectionBiases, string user, int? choiceCount, IList stopSequences, float? presencePenalty, float? frequencyPenalty, bool? internalShouldStreamResponse, string internalNonAzureModelName) { Messages = messages; + Functions = functions; + FunctionCall = functionCall; MaxTokens = maxTokens; Temperature = temperature; NucleusSamplingFactor = nucleusSamplingFactor; diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatMessage.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatMessage.Serialization.cs index 5d5a5b2aa3592..cd4ce695d2813 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatMessage.Serialization.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatMessage.Serialization.cs @@ -18,11 +18,25 @@ void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) writer.WriteStartObject(); writer.WritePropertyName("role"u8); writer.WriteStringValue(Role.ToString()); - if (Optional.IsDefined(Content)) + if (Content != null) { writer.WritePropertyName("content"u8); writer.WriteStringValue(Content); } + else + { + writer.WriteNull("content"); + } + if (Optional.IsDefined(Name)) + { + writer.WritePropertyName("name"u8); + writer.WriteStringValue(Name); + } + if (Optional.IsDefined(FunctionCall)) + { + writer.WritePropertyName("function_call"u8); + writer.WriteObjectValue(FunctionCall); + } writer.WriteEndObject(); } @@ -33,7 +47,9 @@ internal static ChatMessage DeserializeChatMessage(JsonElement element) return null; } ChatRole role = default; - Optional content = default; + string content = default; + Optional name = default; + Optional functionCall = default; foreach (var property in element.EnumerateObject()) { if (property.NameEquals("role"u8)) @@ -43,11 +59,30 @@ internal static ChatMessage DeserializeChatMessage(JsonElement element) } if (property.NameEquals("content"u8)) { + if (property.Value.ValueKind == JsonValueKind.Null) + { + content = null; + continue; + } content = property.Value.GetString(); continue; } + if (property.NameEquals("name"u8)) + { + name = property.Value.GetString(); + continue; + } + if (property.NameEquals("function_call"u8)) + { + if (property.Value.ValueKind == JsonValueKind.Null) + { + continue; + } + functionCall = FunctionCall.DeserializeFunctionCall(property.Value); + continue; + } } - return new ChatMessage(role, content.Value); + return new ChatMessage(role, content, name.Value, functionCall.Value); } /// Deserializes the model from a raw response. diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatMessage.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatMessage.cs index e15a2eb083614..09c0e5db2b740 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatMessage.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatMessage.cs @@ -12,14 +12,41 @@ public partial class ChatMessage { /// Initializes a new instance of ChatMessage. /// The role associated with this message payload. - public ChatMessage(ChatRole role) + /// The text associated with this message payload. + public ChatMessage(ChatRole role, string content) { Role = role; + Content = content; + } + + /// Initializes a new instance of ChatMessage. + /// The role associated with this message payload. + /// The text associated with this message payload. + /// + /// The name of the author of this message. `name` is required if role is `function`, and it should be the name of the + /// function whose response is in the `content`. May contain a-z, A-Z, 0-9, and underscores, with a maximum length of + /// 64 characters. + /// + /// The name and arguments of a function that should be called, as generated by the model. + internal ChatMessage(ChatRole role, string content, string name, FunctionCall functionCall) + { + Role = role; + Content = content; + Name = name; + FunctionCall = functionCall; } /// The role associated with this message payload. public ChatRole Role { get; set; } /// The text associated with this message payload. public string Content { get; set; } + /// + /// The name of the author of this message. `name` is required if role is `function`, and it should be the name of the + /// function whose response is in the `content`. May contain a-z, A-Z, 0-9, and underscores, with a maximum length of + /// 64 characters. + /// + public string Name { get; set; } + /// The name and arguments of a function that should be called, as generated by the model. + public FunctionCall FunctionCall { get; set; } } } diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatRole.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatRole.cs index 9c4c08bfe6d5a..479889b3f4ed1 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatRole.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ChatRole.cs @@ -25,6 +25,7 @@ public ChatRole(string value) private const string SystemValue = "system"; private const string AssistantValue = "assistant"; private const string UserValue = "user"; + private const string FunctionValue = "function"; /// The role that instructs or sets the behavior of the assistant. public static ChatRole System { get; } = new ChatRole(SystemValue); @@ -32,6 +33,8 @@ public ChatRole(string value) public static ChatRole Assistant { get; } = new ChatRole(AssistantValue); /// The role that provides input for chat completions. public static ChatRole User { get; } = new ChatRole(UserValue); + /// The role that provides function results for char completions. + public static ChatRole Function { get; } = new ChatRole(FunctionValue); /// Determines if two values are the same. public static bool operator ==(ChatRole left, ChatRole right) => left.Equals(right); /// Determines if two values are not the same. diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/Choice.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/Choice.Serialization.cs index a87598d550006..bc6a804356e6e 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/Choice.Serialization.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/Choice.Serialization.cs @@ -21,6 +21,7 @@ internal static Choice DeserializeChoice(JsonElement element) } string text = default; int index = default; + Optional contentFilterResults = default; CompletionsLogProbabilityModel logprobs = default; CompletionsFinishReason finishReason = default; foreach (var property in element.EnumerateObject()) @@ -35,6 +36,15 @@ internal static Choice DeserializeChoice(JsonElement element) index = property.Value.GetInt32(); continue; } + if (property.NameEquals("content_filter_results"u8)) + { + if (property.Value.ValueKind == JsonValueKind.Null) + { + continue; + } + contentFilterResults = ContentFilterResults.DeserializeContentFilterResults(property.Value); + continue; + } if (property.NameEquals("logprobs"u8)) { logprobs = CompletionsLogProbabilityModel.DeserializeCompletionsLogProbabilityModel(property.Value); @@ -46,7 +56,7 @@ internal static Choice DeserializeChoice(JsonElement element) continue; } } - return new Choice(text, index, logprobs, finishReason); + return new Choice(text, index, contentFilterResults.Value, logprobs, finishReason); } /// Deserializes the model from a raw response. diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/Choice.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/Choice.cs index f072a81241759..24423df14b84d 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/Choice.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/Choice.cs @@ -17,10 +17,35 @@ namespace Azure.AI.OpenAI /// public partial class Choice { + /// Initializes a new instance of Choice. + /// The generated text for a given completions prompt. + /// The ordered index associated with this completions choice. + /// + /// Information about the content filtering category (hate, sexual, violence, self_harm), if it + /// has been detected, as well as the severity level (very_low, low, medium, high-scale that + /// determines the intensity and risk level of harmful content) and if it has been filtered or not. + /// + /// The log probabilities model for tokens associated with this completions choice. + /// Reason for finishing. + internal Choice(string text, int index, ContentFilterResults contentFilterResults, CompletionsLogProbabilityModel logProbabilityModel, CompletionsFinishReason finishReason) + { + Text = text; + Index = index; + ContentFilterResults = contentFilterResults; + LogProbabilityModel = logProbabilityModel; + FinishReason = finishReason; + } + /// The generated text for a given completions prompt. public string Text { get; } /// The ordered index associated with this completions choice. public int Index { get; } + /// + /// Information about the content filtering category (hate, sexual, violence, self_harm), if it + /// has been detected, as well as the severity level (very_low, low, medium, high-scale that + /// determines the intensity and risk level of harmful content) and if it has been filtered or not. + /// + public ContentFilterResults ContentFilterResults { get; } /// The log probabilities model for tokens associated with this completions choice. public CompletionsLogProbabilityModel LogProbabilityModel { get; } /// Reason for finishing. diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/Completions.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/Completions.Serialization.cs index c6f3ba4095d30..d040ae315aeab 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/Completions.Serialization.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/Completions.Serialization.cs @@ -5,6 +5,7 @@ #nullable disable +using System; using System.Collections.Generic; using System.Text.Json; using Azure; @@ -21,7 +22,8 @@ internal static Completions DeserializeCompletions(JsonElement element) return null; } string id = default; - int created = default; + DateTimeOffset created = default; + Optional> promptAnnotations = default; IReadOnlyList choices = default; CompletionsUsage usage = default; foreach (var property in element.EnumerateObject()) @@ -33,7 +35,21 @@ internal static Completions DeserializeCompletions(JsonElement element) } if (property.NameEquals("created"u8)) { - created = property.Value.GetInt32(); + created = DateTimeOffset.FromUnixTimeSeconds(property.Value.GetInt64()); + continue; + } + if (property.NameEquals("prompt_annotations"u8)) + { + if (property.Value.ValueKind == JsonValueKind.Null) + { + continue; + } + List array = new List(); + foreach (var item in property.Value.EnumerateArray()) + { + array.Add(PromptFilterResult.DeserializePromptFilterResult(item)); + } + promptAnnotations = array; continue; } if (property.NameEquals("choices"u8)) @@ -52,7 +68,7 @@ internal static Completions DeserializeCompletions(JsonElement element) continue; } } - return new Completions(id, created, choices, usage); + return new Completions(id, created, Optional.ToList(promptAnnotations), choices, usage); } /// Deserializes the model from a raw response. diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/Completions.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/Completions.cs index 648d446086d8c..93f9827cf1516 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/Completions.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/Completions.cs @@ -21,7 +21,7 @@ public partial class Completions { /// Initializes a new instance of Completions. /// A unique identifier associated with this completions response. - /// + /// /// The first timestamp associated with generation activity for this completions response, /// represented as seconds since the beginning of the Unix epoch of 00:00 on 1 Jan 1970. /// @@ -32,34 +32,40 @@ public partial class Completions /// /// Usage information for tokens processed and generated as part of this completions operation. /// , or is null. - internal Completions(string id, int internalCreatedSecondsAfterUnixEpoch, IEnumerable choices, CompletionsUsage usage) + internal Completions(string id, DateTimeOffset created, IEnumerable choices, CompletionsUsage usage) { Argument.AssertNotNull(id, nameof(id)); Argument.AssertNotNull(choices, nameof(choices)); Argument.AssertNotNull(usage, nameof(usage)); Id = id; - InternalCreatedSecondsAfterUnixEpoch = internalCreatedSecondsAfterUnixEpoch; + Created = created; + PromptFilterResults = new ChangeTrackingList(); Choices = choices.ToList(); Usage = usage; } /// Initializes a new instance of Completions. /// A unique identifier associated with this completions response. - /// + /// /// The first timestamp associated with generation activity for this completions response, /// represented as seconds since the beginning of the Unix epoch of 00:00 on 1 Jan 1970. /// + /// + /// Content filtering results for zero or more prompts in the request. In a streaming request, + /// results for different prompts may arrive at different times or in different orders. + /// /// /// The collection of completions choices associated with this completions response. /// Generally, `n` choices are generated per provided prompt with a default value of 1. /// Token limits and other settings may limit the number of choices generated. /// /// Usage information for tokens processed and generated as part of this completions operation. - internal Completions(string id, int internalCreatedSecondsAfterUnixEpoch, IReadOnlyList choices, CompletionsUsage usage) + internal Completions(string id, DateTimeOffset created, IReadOnlyList promptFilterResults, IReadOnlyList choices, CompletionsUsage usage) { Id = id; - InternalCreatedSecondsAfterUnixEpoch = internalCreatedSecondsAfterUnixEpoch; + Created = created; + PromptFilterResults = promptFilterResults; Choices = choices; Usage = usage; } @@ -67,6 +73,16 @@ internal Completions(string id, int internalCreatedSecondsAfterUnixEpoch, IReadO /// A unique identifier associated with this completions response. public string Id { get; } /// + /// The first timestamp associated with generation activity for this completions response, + /// represented as seconds since the beginning of the Unix epoch of 00:00 on 1 Jan 1970. + /// + public DateTimeOffset Created { get; } + /// + /// Content filtering results for zero or more prompts in the request. In a streaming request, + /// results for different prompts may arrive at different times or in different orders. + /// + public IReadOnlyList PromptFilterResults { get; } + /// /// The collection of completions choices associated with this completions response. /// Generally, `n` choices are generated per provided prompt with a default value of 1. /// Token limits and other settings may limit the number of choices generated. diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/CompletionsFinishReason.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/CompletionsFinishReason.cs index 1bd3d0f5f847c..f2540ad22a93c 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/CompletionsFinishReason.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/CompletionsFinishReason.cs @@ -15,6 +15,11 @@ namespace Azure.AI.OpenAI { private readonly string _value; + private const string StoppedValue = "stop"; + private const string TokenLimitReachedValue = "length"; + private const string ContentFilteredValue = "content_filter"; + private const string FunctionCallValue = "function_call"; + /// Completions ended normally and reached its end of token generation. public static CompletionsFinishReason Stopped { get; } = new CompletionsFinishReason(StoppedValue); /// Completions exhausted available token limits before generation could complete. @@ -24,6 +29,8 @@ namespace Azure.AI.OpenAI /// moderation policies. /// public static CompletionsFinishReason ContentFiltered { get; } = new CompletionsFinishReason(ContentFilteredValue); + /// Completion ended normally, with the model requesting a function to be called. + public static CompletionsFinishReason FunctionCall { get; } = new CompletionsFinishReason(FunctionCallValue); /// Determines if two values are the same. public static bool operator ==(CompletionsFinishReason left, CompletionsFinishReason right) => left.Equals(right); /// Determines if two values are not the same. diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterResult.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterResult.Serialization.cs new file mode 100644 index 0000000000000..b01b7f952d7df --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterResult.Serialization.cs @@ -0,0 +1,48 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System.Text.Json; +using Azure; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + public partial class ContentFilterResult + { + internal static ContentFilterResult DeserializeContentFilterResult(JsonElement element) + { + if (element.ValueKind == JsonValueKind.Null) + { + return null; + } + ContentFilterSeverity severity = default; + bool filtered = default; + foreach (var property in element.EnumerateObject()) + { + if (property.NameEquals("severity"u8)) + { + severity = new ContentFilterSeverity(property.Value.GetString()); + continue; + } + if (property.NameEquals("filtered"u8)) + { + filtered = property.Value.GetBoolean(); + continue; + } + } + return new ContentFilterResult(severity, filtered); + } + + /// Deserializes the model from a raw response. + /// The response to deserialize the model from. + internal static ContentFilterResult FromResponse(Response response) + { + using var document = JsonDocument.Parse(response.Content); + return DeserializeContentFilterResult(document.RootElement); + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterResult.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterResult.cs new file mode 100644 index 0000000000000..6309cf40d23e4 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterResult.cs @@ -0,0 +1,27 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +namespace Azure.AI.OpenAI +{ + /// Information about filtered content severity level and if it has been filtered or not. + public partial class ContentFilterResult + { + /// Initializes a new instance of ContentFilterResult. + /// Ratings for the intensity and risk level of filtered content. + /// A value indicating whether or not the content has been filtered. + internal ContentFilterResult(ContentFilterSeverity severity, bool filtered) + { + Severity = severity; + Filtered = filtered; + } + + /// Ratings for the intensity and risk level of filtered content. + public ContentFilterSeverity Severity { get; } + /// A value indicating whether or not the content has been filtered. + public bool Filtered { get; } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterResults.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterResults.Serialization.cs new file mode 100644 index 0000000000000..4e5b1cc62ad85 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterResults.Serialization.cs @@ -0,0 +1,76 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System.Text.Json; +using Azure; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + public partial class ContentFilterResults + { + internal static ContentFilterResults DeserializeContentFilterResults(JsonElement element) + { + if (element.ValueKind == JsonValueKind.Null) + { + return null; + } + Optional sexual = default; + Optional violence = default; + Optional hate = default; + Optional selfHarm = default; + foreach (var property in element.EnumerateObject()) + { + if (property.NameEquals("sexual"u8)) + { + if (property.Value.ValueKind == JsonValueKind.Null) + { + continue; + } + sexual = ContentFilterResult.DeserializeContentFilterResult(property.Value); + continue; + } + if (property.NameEquals("violence"u8)) + { + if (property.Value.ValueKind == JsonValueKind.Null) + { + continue; + } + violence = ContentFilterResult.DeserializeContentFilterResult(property.Value); + continue; + } + if (property.NameEquals("hate"u8)) + { + if (property.Value.ValueKind == JsonValueKind.Null) + { + continue; + } + hate = ContentFilterResult.DeserializeContentFilterResult(property.Value); + continue; + } + if (property.NameEquals("self_harm"u8)) + { + if (property.Value.ValueKind == JsonValueKind.Null) + { + continue; + } + selfHarm = ContentFilterResult.DeserializeContentFilterResult(property.Value); + continue; + } + } + return new ContentFilterResults(sexual.Value, violence.Value, hate.Value, selfHarm.Value); + } + + /// Deserializes the model from a raw response. + /// The response to deserialize the model from. + internal static ContentFilterResults FromResponse(Response response) + { + using var document = JsonDocument.Parse(response.Content); + return DeserializeContentFilterResults(document.RootElement); + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterResults.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterResults.cs new file mode 100644 index 0000000000000..1132a5df81dff --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterResults.cs @@ -0,0 +1,74 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +namespace Azure.AI.OpenAI +{ + /// Information about the content filtering category, if it has been detected. + public partial class ContentFilterResults + { + /// Initializes a new instance of ContentFilterResults. + internal ContentFilterResults() + { + } + + /// Initializes a new instance of ContentFilterResults. + /// + /// Describes language related to anatomical organs and genitals, romantic relationships, + /// acts portrayed in erotic or affectionate terms, physical sexual acts, including + /// those portrayed as an assault or a forced sexual violent act against one’s will, + /// prostitution, pornography, and abuse. + /// + /// + /// Describes language related to physical actions intended to hurt, injure, damage, or + /// kill someone or something; describes weapons, etc. + /// + /// + /// Describes language attacks or uses that include pejorative or discriminatory language + /// with reference to a person or identity group on the basis of certain differentiating + /// attributes of these groups including but not limited to race, ethnicity, nationality, + /// gender identity and expression, sexual orientation, religion, immigration status, ability + /// status, personal appearance, and body size. + /// + /// + /// Describes language related to physical actions intended to purposely hurt, injure, + /// or damage one’s body, or kill oneself. + /// + internal ContentFilterResults(ContentFilterResult sexual, ContentFilterResult violence, ContentFilterResult hate, ContentFilterResult selfHarm) + { + Sexual = sexual; + Violence = violence; + Hate = hate; + SelfHarm = selfHarm; + } + + /// + /// Describes language related to anatomical organs and genitals, romantic relationships, + /// acts portrayed in erotic or affectionate terms, physical sexual acts, including + /// those portrayed as an assault or a forced sexual violent act against one’s will, + /// prostitution, pornography, and abuse. + /// + public ContentFilterResult Sexual { get; } + /// + /// Describes language related to physical actions intended to hurt, injure, damage, or + /// kill someone or something; describes weapons, etc. + /// + public ContentFilterResult Violence { get; } + /// + /// Describes language attacks or uses that include pejorative or discriminatory language + /// with reference to a person or identity group on the basis of certain differentiating + /// attributes of these groups including but not limited to race, ethnicity, nationality, + /// gender identity and expression, sexual orientation, religion, immigration status, ability + /// status, personal appearance, and body size. + /// + public ContentFilterResult Hate { get; } + /// + /// Describes language related to physical actions intended to purposely hurt, injure, + /// or damage one’s body, or kill oneself. + /// + public ContentFilterResult SelfHarm { get; } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterSeverity.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterSeverity.cs new file mode 100644 index 0000000000000..50af18b35fc4c --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ContentFilterSeverity.cs @@ -0,0 +1,74 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using System.ComponentModel; + +namespace Azure.AI.OpenAI +{ + /// Ratings for the intensity and risk level of harmful content. + public readonly partial struct ContentFilterSeverity : IEquatable + { + private readonly string _value; + + /// Initializes a new instance of . + /// is null. + public ContentFilterSeverity(string value) + { + _value = value ?? throw new ArgumentNullException(nameof(value)); + } + + private const string SafeValue = "safe"; + private const string LowValue = "low"; + private const string MediumValue = "medium"; + private const string HighValue = "high"; + + /// + /// Content may be related to violence, self-harm, sexual, or hate categories but the terms + /// are used in general, journalistic, scientific, medical, and similar professional contexts, + /// which are appropriate for most audiences. + /// + public static ContentFilterSeverity Safe { get; } = new ContentFilterSeverity(SafeValue); + /// + /// Content that expresses prejudiced, judgmental, or opinionated views, includes offensive + /// use of language, stereotyping, use cases exploring a fictional world (for example, gaming, + /// literature) and depictions at low intensity. + /// + public static ContentFilterSeverity Low { get; } = new ContentFilterSeverity(LowValue); + /// + /// Content that uses offensive, insulting, mocking, intimidating, or demeaning language + /// towards specific identity groups, includes depictions of seeking and executing harmful + /// instructions, fantasies, glorification, promotion of harm at medium intensity. + /// + public static ContentFilterSeverity Medium { get; } = new ContentFilterSeverity(MediumValue); + /// + /// Content that displays explicit and severe harmful instructions, actions, + /// damage, or abuse; includes endorsement, glorification, or promotion of severe + /// harmful acts, extreme or illegal forms of harm, radicalization, or non-consensual + /// power exchange or abuse. + /// + public static ContentFilterSeverity High { get; } = new ContentFilterSeverity(HighValue); + /// Determines if two values are the same. + public static bool operator ==(ContentFilterSeverity left, ContentFilterSeverity right) => left.Equals(right); + /// Determines if two values are not the same. + public static bool operator !=(ContentFilterSeverity left, ContentFilterSeverity right) => !left.Equals(right); + /// Converts a string to a . + public static implicit operator ContentFilterSeverity(string value) => new ContentFilterSeverity(value); + + /// + [EditorBrowsable(EditorBrowsableState.Never)] + public override bool Equals(object obj) => obj is ContentFilterSeverity other && Equals(other); + /// + public bool Equals(ContentFilterSeverity other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase); + + /// + [EditorBrowsable(EditorBrowsableState.Never)] + public override int GetHashCode() => _value?.GetHashCode() ?? 0; + /// + public override string ToString() => _value; + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/Docs/OpenAIClient.xml b/sdk/openai/Azure.AI.OpenAI/src/Generated/Docs/OpenAIClient.xml index a98717f007b73..a45c18b1a16df 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/Docs/OpenAIClient.xml +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/Docs/OpenAIClient.xml @@ -111,12 +111,21 @@ var client = new OpenAIClient(""); var chatCompletionsOptions = new ChatCompletionsOptions(new ChatMessage[] { - new ChatMessage(ChatRole.System) + new ChatMessage(ChatRole.System, "") { - Content = "", + Name = "", + FunctionCall = new FunctionCall("", ""), } }) { + Functions = +{ + new FunctionDefinition("") +{ + Description = "", + Parameters = BinaryData.FromString(""), + } + }, MaxTokens = 1234, Temperature = 3.14f, NucleusSamplingFactor = 3.14f, @@ -141,12 +150,21 @@ var client = new OpenAIClient(""); var chatCompletionsOptions = new ChatCompletionsOptions(new ChatMessage[] { - new ChatMessage(ChatRole.System) + new ChatMessage(ChatRole.System, "") { - Content = "", + Name = "", + FunctionCall = new FunctionCall("", ""), } }) { + Functions = +{ + new FunctionDefinition("") +{ + Description = "", + Parameters = BinaryData.FromString(""), + } + }, MaxTokens = 1234, Temperature = 3.14f, NucleusSamplingFactor = 3.14f, @@ -167,5 +185,13 @@ var result = client.GetChatCompletions("", chatCompletionsOptions) + + + + + + + + \ No newline at end of file diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionCall.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionCall.Serialization.cs new file mode 100644 index 0000000000000..66e19e41a66da --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionCall.Serialization.cs @@ -0,0 +1,66 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System.Text.Json; +using Azure; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + public partial class FunctionCall : IUtf8JsonSerializable + { + void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) + { + writer.WriteStartObject(); + writer.WritePropertyName("name"u8); + writer.WriteStringValue(Name); + writer.WritePropertyName("arguments"u8); + writer.WriteStringValue(Arguments); + writer.WriteEndObject(); + } + + internal static FunctionCall DeserializeFunctionCall(JsonElement element) + { + if (element.ValueKind == JsonValueKind.Null) + { + return null; + } + string name = default; + string arguments = default; + foreach (var property in element.EnumerateObject()) + { + if (property.NameEquals("name"u8)) + { + name = property.Value.GetString(); + continue; + } + if (property.NameEquals("arguments"u8)) + { + arguments = property.Value.GetString(); + continue; + } + } + return new FunctionCall(name, arguments); + } + + /// Deserializes the model from a raw response. + /// The response to deserialize the model from. + internal static FunctionCall FromResponse(Response response) + { + using var document = JsonDocument.Parse(response.Content); + return DeserializeFunctionCall(document.RootElement); + } + + /// Convert into a Utf8JsonRequestContent. + internal virtual RequestContent ToRequestContent() + { + var content = new Utf8JsonRequestContent(); + content.JsonWriter.WriteObjectValue(this); + return content; + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionCall.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionCall.cs new file mode 100644 index 0000000000000..953ebefd2007e --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionCall.cs @@ -0,0 +1,26 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + /// The name and arguments of a function that should be called, as generated by the model. + public partial class FunctionCall + { + /// The name of the function to call. + public string Name { get; set; } + /// + /// The arguments to call the function with, as generated by the model in JSON format. + /// Note that the model does not always generate valid JSON, and may hallucinate parameters + /// not defined by your function schema. Validate the arguments in your code before calling + /// your function. + /// + public string Arguments { get; set; } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionCallPreset.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionCallPreset.cs new file mode 100644 index 0000000000000..e022f2ff07529 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionCallPreset.cs @@ -0,0 +1,60 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using System.ComponentModel; + +namespace Azure.AI.OpenAI +{ + /// + /// The collection of predefined behaviors for handling request-provided function information in a chat completions + /// operation. + /// + internal readonly partial struct FunctionCallPreset : IEquatable + { + private readonly string _value; + + /// Initializes a new instance of . + /// is null. + public FunctionCallPreset(string value) + { + _value = value ?? throw new ArgumentNullException(nameof(value)); + } + + private const string AutoValue = "auto"; + private const string NoneValue = "none"; + + /// + /// Specifies that the model may either use any of the functions provided in this chat completions request or + /// instead return a standard chat completions response as if no functions were provided. + /// + public static FunctionCallPreset Auto { get; } = new FunctionCallPreset(AutoValue); + /// + /// Specifies that the model should not respond with a function call and should instead provide a standard chat + /// completions response. Response content may still be influenced by the provided function information. + /// + public static FunctionCallPreset None { get; } = new FunctionCallPreset(NoneValue); + /// Determines if two values are the same. + public static bool operator ==(FunctionCallPreset left, FunctionCallPreset right) => left.Equals(right); + /// Determines if two values are not the same. + public static bool operator !=(FunctionCallPreset left, FunctionCallPreset right) => !left.Equals(right); + /// Converts a string to a . + public static implicit operator FunctionCallPreset(string value) => new FunctionCallPreset(value); + + /// + [EditorBrowsable(EditorBrowsableState.Never)] + public override bool Equals(object obj) => obj is FunctionCallPreset other && Equals(other); + /// + public bool Equals(FunctionCallPreset other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase); + + /// + [EditorBrowsable(EditorBrowsableState.Never)] + public override int GetHashCode() => _value?.GetHashCode() ?? 0; + /// + public override string ToString() => _value; + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionDefinition.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionDefinition.Serialization.cs new file mode 100644 index 0000000000000..aa5f68a4499a4 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionDefinition.Serialization.cs @@ -0,0 +1,45 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System.Text.Json; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + public partial class FunctionDefinition : IUtf8JsonSerializable + { + void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) + { + writer.WriteStartObject(); + writer.WritePropertyName("name"u8); + writer.WriteStringValue(Name); + if (Optional.IsDefined(Description)) + { + writer.WritePropertyName("description"u8); + writer.WriteStringValue(Description); + } + if (Optional.IsDefined(Parameters)) + { + writer.WritePropertyName("parameters"u8); +#if NET6_0_OR_GREATER + writer.WriteRawValue(Parameters); +#else + JsonSerializer.Serialize(writer, JsonDocument.Parse(Parameters.ToString()).RootElement); +#endif + } + writer.WriteEndObject(); + } + + /// Convert into a Utf8JsonRequestContent. + internal virtual RequestContent ToRequestContent() + { + var content = new Utf8JsonRequestContent(); + content.JsonWriter.WriteObjectValue(this); + return content; + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionDefinition.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionDefinition.cs new file mode 100644 index 0000000000000..974f3c8761ed7 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionDefinition.cs @@ -0,0 +1,76 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + /// The definition of a caller-specified function that chat completions may invoke in response to matching user input. + public partial class FunctionDefinition + { + /// Initializes a new instance of FunctionDefinition. + /// The name of the function to be called. + /// is null. + public FunctionDefinition(string name) + { + Argument.AssertNotNull(name, nameof(name)); + + Name = name; + } + + /// Initializes a new instance of FunctionDefinition. + /// The name of the function to be called. + /// + /// A description of what the function does. The model will use this description when selecting the function and + /// interpreting its parameters. + /// + /// The parameters the functions accepts, described as a JSON Schema object. + internal FunctionDefinition(string name, string description, BinaryData parameters) + { + Name = name; + Description = description; + Parameters = parameters; + } + /// + /// A description of what the function does. The model will use this description when selecting the function and + /// interpreting its parameters. + /// + public string Description { get; set; } + /// + /// The parameters the functions accepts, described as a JSON Schema object. + /// + /// To assign an object to this property use . + /// + /// + /// To assign an already formated json string to this property use . + /// + /// + /// Examples: + /// + /// + /// BinaryData.FromObjectAsJson("foo") + /// Creates a payload of "foo". + /// + /// + /// BinaryData.FromString("\"foo\"") + /// Creates a payload of "foo". + /// + /// + /// BinaryData.FromObjectAsJson(new { key = "value" }) + /// Creates a payload of { "key": "value" }. + /// + /// + /// BinaryData.FromString("{\"key\": \"value\"}") + /// Creates a payload of { "key": "value" }. + /// + /// + /// + /// + public BinaryData Parameters { get; set; } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionName.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionName.Serialization.cs new file mode 100644 index 0000000000000..6921e67a5bb10 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionName.Serialization.cs @@ -0,0 +1,31 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System.Text.Json; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + internal partial class FunctionName : IUtf8JsonSerializable + { + void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) + { + writer.WriteStartObject(); + writer.WritePropertyName("name"u8); + writer.WriteStringValue(Name); + writer.WriteEndObject(); + } + + /// Convert into a Utf8JsonRequestContent. + internal virtual RequestContent ToRequestContent() + { + var content = new Utf8JsonRequestContent(); + content.JsonWriter.WriteObjectValue(this); + return content; + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionName.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionName.cs new file mode 100644 index 0000000000000..660ac4c25da08 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/FunctionName.cs @@ -0,0 +1,32 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + /// + /// A structure that specifies the exact name of a specific, request-provided function to use when processing a chat + /// completions operation. + /// + internal partial class FunctionName + { + /// Initializes a new instance of FunctionName. + /// The name of the function to call. + /// is null. + public FunctionName(string name) + { + Argument.AssertNotNull(name, nameof(name)); + + Name = name; + } + + /// The name of the function to call. + public string Name { get; } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerationOptions.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerationOptions.Serialization.cs new file mode 100644 index 0000000000000..c5f2cc65360d9 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerationOptions.Serialization.cs @@ -0,0 +1,51 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System.Text.Json; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + public partial class ImageGenerationOptions : IUtf8JsonSerializable + { + void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) + { + writer.WriteStartObject(); + writer.WritePropertyName("prompt"u8); + writer.WriteStringValue(Prompt); + if (Optional.IsDefined(ImageCount)) + { + writer.WritePropertyName("n"u8); + writer.WriteNumberValue(ImageCount.Value); + } + if (Optional.IsDefined(Size)) + { + writer.WritePropertyName("size"u8); + writer.WriteStringValue(Size.Value.ToString()); + } + if (Optional.IsDefined(ResponseFormat)) + { + writer.WritePropertyName("response_format"u8); + writer.WriteStringValue(ResponseFormat.Value.ToString()); + } + if (Optional.IsDefined(User)) + { + writer.WritePropertyName("user"u8); + writer.WriteStringValue(User); + } + writer.WriteEndObject(); + } + + /// Convert into a Utf8JsonRequestContent. + internal virtual RequestContent ToRequestContent() + { + var content = new Utf8JsonRequestContent(); + content.JsonWriter.WriteObjectValue(this); + return content; + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerationOptions.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerationOptions.cs new file mode 100644 index 0000000000000..971f32b669e2b --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerationOptions.cs @@ -0,0 +1,50 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + /// Represents the request data used to generate images. + public partial class ImageGenerationOptions + { + /// Initializes a new instance of ImageGenerationOptions. + /// A description of the desired images. + /// is null. + public ImageGenerationOptions(string prompt) + { + Argument.AssertNotNull(prompt, nameof(prompt)); + + Prompt = prompt; + } + + /// Initializes a new instance of ImageGenerationOptions. + /// A description of the desired images. + /// The number of images to generate (defaults to 1). + /// The desired size of the generated images. Must be one of 256x256, 512x512, or 1024x1024 (defaults to 1024x1024). + /// + /// The format in which image generation response items should be presented. + /// Azure OpenAI only supports URL response items. + /// + /// A unique identifier representing your end-user, which can help to monitor and detect abuse. + internal ImageGenerationOptions(string prompt, int? imageCount, ImageSize? size, ImageGenerationResponseFormat? responseFormat, string user) + { + Prompt = prompt; + ImageCount = imageCount; + Size = size; + ResponseFormat = responseFormat; + User = user; + } + /// The number of images to generate (defaults to 1). + public int? ImageCount { get; set; } + /// The desired size of the generated images. Must be one of 256x256, 512x512, or 1024x1024 (defaults to 1024x1024). + public ImageSize? Size { get; set; } + /// A unique identifier representing your end-user, which can help to monitor and detect abuse. + public string User { get; set; } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerationResponseFormat.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerationResponseFormat.cs new file mode 100644 index 0000000000000..ce53e220d177b --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerationResponseFormat.cs @@ -0,0 +1,51 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using System.ComponentModel; + +namespace Azure.AI.OpenAI +{ + /// The format in which the generated images are returned. + internal readonly partial struct ImageGenerationResponseFormat : IEquatable + { + private readonly string _value; + + /// Initializes a new instance of . + /// is null. + public ImageGenerationResponseFormat(string value) + { + _value = value ?? throw new ArgumentNullException(nameof(value)); + } + + private const string UrlValue = "url"; + private const string Base64Value = "b64_json"; + + /// Image generation response items should provide a URL from which the image may be retrieved. + public static ImageGenerationResponseFormat Url { get; } = new ImageGenerationResponseFormat(UrlValue); + /// Image generation response items should provide image data as a base64-encoded string. + public static ImageGenerationResponseFormat Base64 { get; } = new ImageGenerationResponseFormat(Base64Value); + /// Determines if two values are the same. + public static bool operator ==(ImageGenerationResponseFormat left, ImageGenerationResponseFormat right) => left.Equals(right); + /// Determines if two values are not the same. + public static bool operator !=(ImageGenerationResponseFormat left, ImageGenerationResponseFormat right) => !left.Equals(right); + /// Converts a string to a . + public static implicit operator ImageGenerationResponseFormat(string value) => new ImageGenerationResponseFormat(value); + + /// + [EditorBrowsable(EditorBrowsableState.Never)] + public override bool Equals(object obj) => obj is ImageGenerationResponseFormat other && Equals(other); + /// + public bool Equals(ImageGenerationResponseFormat other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase); + + /// + [EditorBrowsable(EditorBrowsableState.Never)] + public override int GetHashCode() => _value?.GetHashCode() ?? 0; + /// + public override string ToString() => _value; + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerations.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerations.Serialization.cs new file mode 100644 index 0000000000000..4b9dfde58ba4c --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerations.Serialization.cs @@ -0,0 +1,50 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using System.Collections.Generic; +using System.Text.Json; +using Azure; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + public partial class ImageGenerations + { + internal static ImageGenerations DeserializeImageGenerations(JsonElement element) + { + if (element.ValueKind == JsonValueKind.Null) + { + return null; + } + DateTimeOffset created = default; + IReadOnlyList data = default; + foreach (var property in element.EnumerateObject()) + { + if (property.NameEquals("created"u8)) + { + created = DateTimeOffset.FromUnixTimeSeconds(property.Value.GetInt64()); + continue; + } + if (property.NameEquals("data"u8)) + { + DeserializeDataProperty(property, ref data); + continue; + } + } + return new ImageGenerations(created, data); + } + + /// Deserializes the model from a raw response. + /// The response to deserialize the model from. + internal static ImageGenerations FromResponse(Response response) + { + using var document = JsonDocument.Parse(response.Content); + return DeserializeImageGenerations(document.RootElement); + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerations.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerations.cs new file mode 100644 index 0000000000000..a54bb97dc2582 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageGenerations.cs @@ -0,0 +1,42 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using System.Collections.Generic; +using System.Linq; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + /// The result of the operation if the operation succeeded. + public partial class ImageGenerations + { + /// Initializes a new instance of ImageGenerations. + /// A timestamp when this job or item was created (in unix epochs). + /// The images generated by the operator. + /// is null. + internal ImageGenerations(DateTimeOffset created, IEnumerable data) + { + Argument.AssertNotNull(data, nameof(data)); + + Created = created; + Data = data.ToList(); + } + + /// Initializes a new instance of ImageGenerations. + /// A timestamp when this job or item was created (in unix epochs). + /// The images generated by the operator. + internal ImageGenerations(DateTimeOffset created, IReadOnlyList data) + { + Created = created; + Data = data; + } + + /// A timestamp when this job or item was created (in unix epochs). + public DateTimeOffset Created { get; } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageLocation.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageLocation.Serialization.cs new file mode 100644 index 0000000000000..5f003abed5455 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageLocation.Serialization.cs @@ -0,0 +1,43 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using System.Text.Json; +using Azure; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + public partial class ImageLocation + { + internal static ImageLocation DeserializeImageLocation(JsonElement element) + { + if (element.ValueKind == JsonValueKind.Null) + { + return null; + } + Uri url = default; + foreach (var property in element.EnumerateObject()) + { + if (property.NameEquals("url"u8)) + { + url = new Uri(property.Value.GetString()); + continue; + } + } + return new ImageLocation(url); + } + + /// Deserializes the model from a raw response. + /// The response to deserialize the model from. + internal static ImageLocation FromResponse(Response response) + { + using var document = JsonDocument.Parse(response.Content); + return DeserializeImageLocation(document.RootElement); + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageLocation.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageLocation.cs new file mode 100644 index 0000000000000..8783a2d3c5eff --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageLocation.cs @@ -0,0 +1,29 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + /// An image response item that provides a URL from which an image may be accessed. + public partial class ImageLocation + { + /// Initializes a new instance of ImageLocation. + /// The URL that provides temporary access to download the generated image. + /// is null. + internal ImageLocation(Uri url) + { + Argument.AssertNotNull(url, nameof(url)); + + Url = url; + } + + /// The URL that provides temporary access to download the generated image. + public Uri Url { get; } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageSize.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageSize.cs new file mode 100644 index 0000000000000..f31735bb95970 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/ImageSize.cs @@ -0,0 +1,54 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System; +using System.ComponentModel; + +namespace Azure.AI.OpenAI +{ + /// The desired size of the generated images. Must be one of 256x256, 512x512, or 1024x1024. + public readonly partial struct ImageSize : IEquatable + { + private readonly string _value; + + /// Initializes a new instance of . + /// is null. + public ImageSize(string value) + { + _value = value ?? throw new ArgumentNullException(nameof(value)); + } + + private const string Size256x256Value = "256x256"; + private const string Size512x512Value = "512x512"; + private const string Size1024x1024Value = "1024x1024"; + + /// Image size of 256x256. + public static ImageSize Size256x256 { get; } = new ImageSize(Size256x256Value); + /// Image size of 512x512. + public static ImageSize Size512x512 { get; } = new ImageSize(Size512x512Value); + /// Image size of 1024x1024. + public static ImageSize Size1024x1024 { get; } = new ImageSize(Size1024x1024Value); + /// Determines if two values are the same. + public static bool operator ==(ImageSize left, ImageSize right) => left.Equals(right); + /// Determines if two values are not the same. + public static bool operator !=(ImageSize left, ImageSize right) => !left.Equals(right); + /// Converts a string to a . + public static implicit operator ImageSize(string value) => new ImageSize(value); + + /// + [EditorBrowsable(EditorBrowsableState.Never)] + public override bool Equals(object obj) => obj is ImageSize other && Equals(other); + /// + public bool Equals(ImageSize other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase); + + /// + [EditorBrowsable(EditorBrowsableState.Never)] + public override int GetHashCode() => _value?.GetHashCode() ?? 0; + /// + public override string ToString() => _value; + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/OpenAIClient.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/OpenAIClient.cs index 075a6ef2d8dae..ecc48833fdb0e 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/OpenAIClient.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/OpenAIClient.cs @@ -37,6 +37,133 @@ protected OpenAIClient() { } + /// Starts the generation of a batch of images from a text caption. + /// if the method should wait to return until the long-running operation has completed on the service; if it should return after starting the operation. For more information on long-running operations, please see Azure.Core Long-Running Operation samples. + /// Represents the request data used to generate images. + /// The cancellation token to use. + /// is null. + /// + internal virtual async Task> BeginAzureBatchImageGenerationAsync(WaitUntil waitUntil, ImageGenerationOptions imageGenerationOptions, CancellationToken cancellationToken = default) + { + Argument.AssertNotNull(imageGenerationOptions, nameof(imageGenerationOptions)); + + RequestContext context = FromCancellationToken(cancellationToken); + Operation response = await BeginAzureBatchImageGenerationAsync(waitUntil, imageGenerationOptions.ToRequestContent(), context).ConfigureAwait(false); + return ProtocolOperationHelpers.Convert(response, BatchImageGenerationOperationResponse.FromResponse, ClientDiagnostics, "OpenAIClient.BeginAzureBatchImageGeneration"); + } + + /// Starts the generation of a batch of images from a text caption. + /// if the method should wait to return until the long-running operation has completed on the service; if it should return after starting the operation. For more information on long-running operations, please see Azure.Core Long-Running Operation samples. + /// Represents the request data used to generate images. + /// The cancellation token to use. + /// is null. + /// + internal virtual Operation BeginAzureBatchImageGeneration(WaitUntil waitUntil, ImageGenerationOptions imageGenerationOptions, CancellationToken cancellationToken = default) + { + Argument.AssertNotNull(imageGenerationOptions, nameof(imageGenerationOptions)); + + RequestContext context = FromCancellationToken(cancellationToken); + Operation response = BeginAzureBatchImageGeneration(waitUntil, imageGenerationOptions.ToRequestContent(), context); + return ProtocolOperationHelpers.Convert(response, BatchImageGenerationOperationResponse.FromResponse, ClientDiagnostics, "OpenAIClient.BeginAzureBatchImageGeneration"); + } + + /// + /// [Protocol Method] Starts the generation of a batch of images from a text caption + /// + /// + /// + /// This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. + /// + /// + /// + /// + /// Please try the simpler convenience overload with strongly typed models first. + /// + /// + /// + /// + /// if the method should wait to return until the long-running operation has completed on the service; if it should return after starting the operation. For more information on long-running operations, please see Azure.Core Long-Running Operation samples. + /// The content to send as the body of the request. + /// The request context, which can override default behaviors of the client pipeline on a per-call basis. + /// is null. + /// Service returned a non-success status code. + /// The representing an asynchronous operation on the service. + /// + internal virtual async Task> BeginAzureBatchImageGenerationAsync(WaitUntil waitUntil, RequestContent content, RequestContext context = null) + { + Argument.AssertNotNull(content, nameof(content)); + + using var scope = ClientDiagnostics.CreateScope("OpenAIClient.BeginAzureBatchImageGeneration"); + scope.Start(); + try + { + using HttpMessage message = CreateBeginAzureBatchImageGenerationRequest(content, context); + return await ProtocolOperationHelpers.ProcessMessageAsync(_pipeline, message, ClientDiagnostics, "OpenAIClient.BeginAzureBatchImageGeneration", OperationFinalStateVia.Location, context, waitUntil).ConfigureAwait(false); + } + catch (Exception e) + { + scope.Failed(e); + throw; + } + } + + /// + /// [Protocol Method] Starts the generation of a batch of images from a text caption + /// + /// + /// + /// This protocol method allows explicit creation of the request and processing of the response for advanced scenarios. + /// + /// + /// + /// + /// Please try the simpler convenience overload with strongly typed models first. + /// + /// + /// + /// + /// if the method should wait to return until the long-running operation has completed on the service; if it should return after starting the operation. For more information on long-running operations, please see Azure.Core Long-Running Operation samples. + /// The content to send as the body of the request. + /// The request context, which can override default behaviors of the client pipeline on a per-call basis. + /// is null. + /// Service returned a non-success status code. + /// The representing an asynchronous operation on the service. + /// + internal virtual Operation BeginAzureBatchImageGeneration(WaitUntil waitUntil, RequestContent content, RequestContext context = null) + { + Argument.AssertNotNull(content, nameof(content)); + + using var scope = ClientDiagnostics.CreateScope("OpenAIClient.BeginAzureBatchImageGeneration"); + scope.Start(); + try + { + using HttpMessage message = CreateBeginAzureBatchImageGenerationRequest(content, context); + return ProtocolOperationHelpers.ProcessMessage(_pipeline, message, ClientDiagnostics, "OpenAIClient.BeginAzureBatchImageGeneration", OperationFinalStateVia.Location, context, waitUntil); + } + catch (Exception e) + { + scope.Failed(e); + throw; + } + } + + internal HttpMessage CreateBeginAzureBatchImageGenerationRequest(RequestContent content, RequestContext context) + { + var message = _pipeline.CreateMessage(context, ResponseClassifier202); + var request = message.Request; + request.Method = RequestMethod.Post; + var uri = new RawRequestUriBuilder(); + uri.Reset(_endpoint); + uri.AppendRaw("/openai", false); + uri.AppendPath("/images/generations:submit", false); + uri.AppendQuery("api-version", _apiVersion, true); + request.Uri = uri; + request.Headers.Add("Accept", "application/json"); + request.Headers.Add("Content-Type", "application/json"); + request.Content = content; + return message; + } + private static RequestContext DefaultRequestContext = new RequestContext(); internal static RequestContext FromCancellationToken(CancellationToken cancellationToken = default) { @@ -50,5 +177,7 @@ internal static RequestContext FromCancellationToken(CancellationToken cancellat private static ResponseClassifier _responseClassifier200; private static ResponseClassifier ResponseClassifier200 => _responseClassifier200 ??= new StatusCodeClassifier(stackalloc ushort[] { 200 }); + private static ResponseClassifier _responseClassifier202; + private static ResponseClassifier ResponseClassifier202 => _responseClassifier202 ??= new StatusCodeClassifier(stackalloc ushort[] { 202 }); } } diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/OpenAIClientOptions.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/OpenAIClientOptions.cs index 738e64701d54e..95066fd3239c0 100644 --- a/sdk/openai/Azure.AI.OpenAI/src/Generated/OpenAIClientOptions.cs +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/OpenAIClientOptions.cs @@ -13,15 +13,19 @@ namespace Azure.AI.OpenAI /// Client options for OpenAIClient. public partial class OpenAIClientOptions : ClientOptions { - private const ServiceVersion LatestVersion = ServiceVersion.V2023_03_15_Preview; + private const ServiceVersion LatestVersion = ServiceVersion.V2023_07_01_Preview; /// The version of the service to use. public enum ServiceVersion { /// Service version "2022-12-01". V2022_12_01 = 1, - /// Service version "2023-03-15-preview". - V2023_03_15_Preview = 2, + /// Service version "2023-05-15". + V2023_05_15 = 2, + /// Service version "2023-06-01-preview". + V2023_06_01_Preview = 3, + /// Service version "2023-07-01-preview". + V2023_07_01_Preview = 4, } internal string Version { get; } @@ -32,7 +36,9 @@ public OpenAIClientOptions(ServiceVersion version = LatestVersion) Version = version switch { ServiceVersion.V2022_12_01 => "2022-12-01", - ServiceVersion.V2023_03_15_Preview => "2023-03-15-preview", + ServiceVersion.V2023_05_15 => "2023-05-15", + ServiceVersion.V2023_06_01_Preview => "2023-06-01-preview", + ServiceVersion.V2023_07_01_Preview => "2023-07-01-preview", _ => throw new NotSupportedException() }; } diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/PromptFilterResult.Serialization.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/PromptFilterResult.Serialization.cs new file mode 100644 index 0000000000000..d1a5970f07b91 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/PromptFilterResult.Serialization.cs @@ -0,0 +1,52 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +using System.Text.Json; +using Azure; +using Azure.Core; + +namespace Azure.AI.OpenAI +{ + public partial class PromptFilterResult + { + internal static PromptFilterResult DeserializePromptFilterResult(JsonElement element) + { + if (element.ValueKind == JsonValueKind.Null) + { + return null; + } + int promptIndex = default; + Optional contentFilterResults = default; + foreach (var property in element.EnumerateObject()) + { + if (property.NameEquals("prompt_index"u8)) + { + promptIndex = property.Value.GetInt32(); + continue; + } + if (property.NameEquals("content_filter_results"u8)) + { + if (property.Value.ValueKind == JsonValueKind.Null) + { + continue; + } + contentFilterResults = ContentFilterResults.DeserializeContentFilterResults(property.Value); + continue; + } + } + return new PromptFilterResult(promptIndex, contentFilterResults.Value); + } + + /// Deserializes the model from a raw response. + /// The response to deserialize the model from. + internal static PromptFilterResult FromResponse(Response response) + { + using var document = JsonDocument.Parse(response.Content); + return DeserializePromptFilterResult(document.RootElement); + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/src/Generated/PromptFilterResult.cs b/sdk/openai/Azure.AI.OpenAI/src/Generated/PromptFilterResult.cs new file mode 100644 index 0000000000000..25a722ac88b65 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/src/Generated/PromptFilterResult.cs @@ -0,0 +1,34 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +// + +#nullable disable + +namespace Azure.AI.OpenAI +{ + /// Content filtering results for a single prompt in the request. + public partial class PromptFilterResult + { + /// Initializes a new instance of PromptFilterResult. + /// The index of this prompt in the set of prompt results. + internal PromptFilterResult(int promptIndex) + { + PromptIndex = promptIndex; + } + + /// Initializes a new instance of PromptFilterResult. + /// The index of this prompt in the set of prompt results. + /// Content filtering results for this prompt. + internal PromptFilterResult(int promptIndex, ContentFilterResults contentFilterResults) + { + PromptIndex = promptIndex; + ContentFilterResults = contentFilterResults; + } + + /// The index of this prompt in the set of prompt results. + public int PromptIndex { get; } + /// Content filtering results for this prompt. + public ContentFilterResults ContentFilterResults { get; } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/tests/Azure.AI.OpenAI.Tests.csproj b/sdk/openai/Azure.AI.OpenAI/tests/Azure.AI.OpenAI.Tests.csproj index 1782df2211f82..53d7418bcc0e7 100644 --- a/sdk/openai/Azure.AI.OpenAI/tests/Azure.AI.OpenAI.Tests.csproj +++ b/sdk/openai/Azure.AI.OpenAI/tests/Azure.AI.OpenAI.Tests.csproj @@ -23,6 +23,7 @@ + diff --git a/sdk/openai/Azure.AI.OpenAI/tests/ChatFunctionsTests.cs b/sdk/openai/Azure.AI.OpenAI/tests/ChatFunctionsTests.cs new file mode 100644 index 0000000000000..a5ab231b75025 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/tests/ChatFunctionsTests.cs @@ -0,0 +1,161 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +using System; +using System.Linq; +using System.Text; +using System.Text.Json; +using System.Threading.Tasks; +using Azure.Core.TestFramework; +using NUnit.Framework; + +namespace Azure.AI.OpenAI.Tests; + +public class ChatFunctionsTests : OpenAITestBase +{ + public ChatFunctionsTests(bool isAsync) + : base(isAsync)//, RecordedTestMode.Live) + { + } + + [RecordedTest] + [TestCase(OpenAIClientServiceTarget.Azure)] + [TestCase(OpenAIClientServiceTarget.NonAzure)] + public async Task SimpleFunctionCallWorks(OpenAIClientServiceTarget serviceTarget) + { + OpenAIClient client = GetTestClient(serviceTarget); + string deploymentOrModelName = OpenAITestBase.GetDeploymentOrModelName( + serviceTarget, + OpenAIClientScenario.ChatCompletions); + + var requestOptions = new ChatCompletionsOptions() + { + Functions = { s_futureTemperatureFunction }, + Messages = + { + new ChatMessage(ChatRole.System, "You are a helpful assistant."), + new ChatMessage(ChatRole.User, "What should I wear in Honolulu next Thursday?"), + }, + MaxTokens = 512, + }; + + Response response = await client.GetChatCompletionsAsync(deploymentOrModelName, requestOptions); + Assert.That(response, Is.Not.Null); + + Assert.That(response.Value, Is.Not.Null); + Assert.That(response.Value.Choices, Is.Not.Null.Or.Empty); + Assert.That(response.Value.Choices[0].FinishReason, Is.EqualTo(CompletionsFinishReason.FunctionCall)); + Assert.That(response.Value.Choices[0].Message.Role, Is.EqualTo(ChatRole.Assistant)); + Assert.That(response.Value.Choices[0].Message.Content, Is.Null.Or.Empty); + Assert.That(response.Value.Choices[0].Message.FunctionCall, Is.Not.Null); + Assert.That(response.Value.Choices[0].Message.FunctionCall.Name, Is.EqualTo(s_futureTemperatureFunction.Name)); + Assert.That(response.Value.Choices[0].Message.FunctionCall.Arguments, Is.Not.Null.Or.Empty); + + ChatCompletionsOptions followupOptions = new() + { + Functions = { s_futureTemperatureFunction }, + MaxTokens = 512, + }; + foreach (ChatMessage originalMessage in requestOptions.Messages) + { + followupOptions.Messages.Add(originalMessage); + } + followupOptions.Messages.Add(response.Value.Choices[0].Message); + followupOptions.Messages.Add(new ChatMessage() + { + Role = ChatRole.Function, + Name = response.Value.Choices[0].Message.FunctionCall.Name, + Content = JsonSerializer.Serialize(new + { + Temperature = "31", + Unit = "celsius", + }, + new JsonSerializerOptions() { PropertyNamingPolicy = JsonNamingPolicy.CamelCase }), + }); + + Response followupResponse = await client.GetChatCompletionsAsync(deploymentOrModelName, followupOptions); + Assert.That(followupResponse, Is.Not.Null); + Assert.That(followupResponse.Value, Is.Not.Null); + Assert.That(followupResponse.Value.Choices, Is.Not.Null.Or.Empty); + Assert.That(followupResponse.Value.Choices[0], Is.Not.Null); + Assert.That(followupResponse.Value.Choices[0].Message, Is.Not.Null); + Assert.That(followupResponse.Value.Choices[0].Message.Role, Is.EqualTo(ChatRole.Assistant)); + Assert.That(followupResponse.Value.Choices[0].Message.Content, Is.Not.Null.Or.Empty); + } + + [RecordedTest] + [TestCase(OpenAIClientServiceTarget.Azure)] + [TestCase(OpenAIClientServiceTarget.NonAzure)] + public async Task StreamingFunctionCallWorks(OpenAIClientServiceTarget serviceTarget) + { + OpenAIClient client = GetTestClient(serviceTarget); + string deploymentOrModelName = OpenAITestBase.GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.ChatCompletions); + + var requestOptions = new ChatCompletionsOptions() + { + Functions = { s_futureTemperatureFunction }, + Messages = + { + new ChatMessage(ChatRole.System, "You are a helpful assistant."), + new ChatMessage(ChatRole.User, "What should I wear in Honolulu next Thursday?"), + }, + MaxTokens = 512, + }; + + Response response + = await client.GetChatCompletionsStreamingAsync(deploymentOrModelName, requestOptions); + Assert.That(response, Is.Not.Null); + + using StreamingChatCompletions streamingChatCompletions = response.Value; + + ChatRole streamedRole = default; + string functionName = default; + StringBuilder argumentsBuilder = new(); + + await foreach (StreamingChatChoice choice in streamingChatCompletions.GetChoicesStreaming()) + { + await foreach (ChatMessage message in choice.GetMessageStreaming()) + { + if (message.Role != default) + { + streamedRole = message.Role; + } + if (message.FunctionCall?.Name != null) + { + Assert.That(functionName, Is.Null.Or.Empty); + functionName = message.FunctionCall.Name; + } + argumentsBuilder.Append(message.FunctionCall?.Arguments ?? string.Empty); + } + } + + Assert.That(streamedRole, Is.EqualTo(ChatRole.Assistant)); + Assert.That(functionName, Is.EqualTo(s_futureTemperatureFunction.Name)); + Assert.That(argumentsBuilder.Length, Is.GreaterThan(0)); + } + + private static readonly FunctionDefinition s_futureTemperatureFunction = new() + { + Name = "get_future_temperature", + Description = "requests the anticipated future temperature at a provided location to help inform " + + "advice about topics like choice of attire", + Parameters = BinaryData.FromObjectAsJson(new + { + Type = "object", + Properties = new + { + LocationName = new + { + Type = "string", + Description = "the name or brief description of a location for weather information" + }, + Date = new + { + Type = "string", + Description = "the day, month, and year for which to retrieve weather information" + } + } + }, + new JsonSerializerOptions() { PropertyNamingPolicy = JsonNamingPolicy.CamelCase }) + }; +} diff --git a/sdk/openai/Azure.AI.OpenAI/tests/Generated/Samples/Samples_OpenAIClient.cs b/sdk/openai/Azure.AI.OpenAI/tests/Generated/Samples/Samples_OpenAIClient.cs index 89bf7a0e369d5..eeb1aa2fbdaee 100644 --- a/sdk/openai/Azure.AI.OpenAI/tests/Generated/Samples/Samples_OpenAIClient.cs +++ b/sdk/openai/Azure.AI.OpenAI/tests/Generated/Samples/Samples_OpenAIClient.cs @@ -72,12 +72,21 @@ public async Task Example_GetChatCompletions_Convenience_Async() var chatCompletionsOptions = new ChatCompletionsOptions(new ChatMessage[] { - new ChatMessage(ChatRole.System) + new ChatMessage(ChatRole.System, "") { - Content = "", + Name = "", + FunctionCall = new FunctionCall("", ""), } }) { + Functions = +{ + new FunctionDefinition("") +{ + Description = "", + Parameters = BinaryData.FromString(""), + } + }, MaxTokens = 1234, Temperature = 3.14f, NucleusSamplingFactor = 3.14f, diff --git a/sdk/openai/Azure.AI.OpenAI/tests/OpenAIImageTests.cs b/sdk/openai/Azure.AI.OpenAI/tests/OpenAIImageTests.cs new file mode 100644 index 0000000000000..ef9ca633e7bf2 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/tests/OpenAIImageTests.cs @@ -0,0 +1,63 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +using System; +using System.IO; +using System.Threading.Tasks; +using Azure.Core.TestFramework; +using NUnit.Framework; + +namespace Azure.AI.OpenAI.Tests +{ + public class OpenAIImageTests : OpenAITestBase + { + public OpenAIImageTests(bool isAsync) + : base(isAsync)//, RecordedTestMode.Live) + { + } + + [RecordedTest] + [TestCase(OpenAIClientServiceTarget.Azure)] + [TestCase(OpenAIClientServiceTarget.NonAzure)] + public async Task CanGenerateImages(OpenAIClientServiceTarget serviceTarget) + { + OpenAIClient client = GetTestClient(serviceTarget); + Assert.That(client, Is.InstanceOf()); + + const string prompt = "a simplistic picture of a cyberpunk money dreaming of electric bananas"; + var requestOptions = new ImageGenerationOptions() + { + Prompt = prompt, + Size = ImageSize.Size256x256, + ImageCount = 2, + User = "placeholder", + }; + Assert.That(requestOptions, Is.InstanceOf()); + + Response imagesResponse = await client.GetImageGenerationsAsync(requestOptions); + + Response rawResponse = imagesResponse.GetRawResponse(); + Assert.That(rawResponse, Is.Not.Null); + Assert.That(rawResponse.IsError, Is.False); + + ImageGenerations imageGenerations = imagesResponse.Value; + Assert.That(imageGenerations, Is.InstanceOf()); + Assert.That(imageGenerations, Is.Not.Null); + Assert.That(imageGenerations.Created, Is.GreaterThan(new DateTimeOffset(new DateTime(2023, 1, 1)))); + + Assert.That(imageGenerations.Data, Is.Not.Null.Or.Empty); + Assert.That(imageGenerations.Data.Count, Is.EqualTo(requestOptions.ImageCount)); + + ImageLocation firstImageLocation = imageGenerations.Data[0]; + Assert.That(firstImageLocation, Is.Not.Null); + Assert.That(firstImageLocation.Url, Is.Not.Null.Or.Empty); + + ImageLocation secondImageLocation = imageGenerations.Data[1] as ImageLocation; + Assert.That(secondImageLocation, Is.Not.Null); + Assert.That(secondImageLocation.Url, Is.Not.Null.Or.Empty); + Assert.That( + secondImageLocation.Url.ToString(), + Is.Not.EquivalentTo(firstImageLocation.Url.ToString())); + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/tests/OpenAIInferenceModelFactoryTests.cs.cs b/sdk/openai/Azure.AI.OpenAI/tests/OpenAIInferenceModelFactoryTests.cs.cs new file mode 100644 index 0000000000000..cd612161efb78 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/tests/OpenAIInferenceModelFactoryTests.cs.cs @@ -0,0 +1,116 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +using System; +using System.Collections.Generic; +using System.Linq; +using NUnit.Framework; + +namespace Azure.AI.OpenAI.Tests +{ + [TestFixture] + public class OpenAIInferenceModelFactoryTests + { + [Test] + public void TestCompletionsLogProbabilityModel() + { + CompletionsLogProbabilityModel logProbabilityModel = AzureOpenAIModelFactory.CompletionsLogProbabilityModel( + new[] { "one", "two" }, + new float?[] { 0.9f, 0.72f }); + Assert.That(logProbabilityModel, Is.Not.Null); + Assert.That(logProbabilityModel.Tokens.Count, Is.EqualTo(2)); + Assert.That(logProbabilityModel.Tokens[0], Is.EqualTo("one")); + Assert.That(logProbabilityModel.Tokens[1], Is.EqualTo("two")); + Assert.That(logProbabilityModel.TokenLogProbabilities.Count, Is.EqualTo(2)); + Assert.That(logProbabilityModel.TokenLogProbabilities[0], Is.EqualTo(0.9F).Within(2).Percent); + Assert.That(logProbabilityModel.TokenLogProbabilities[1], Is.EqualTo(0.72F).Within(2).Percent); + Assert.That(logProbabilityModel.TopLogProbabilities, Is.Empty); + Assert.That(logProbabilityModel.TextOffsets, Is.Empty); + } + + [Test] + public void TestChatChoices() + { + var expectedChoices = new[] + { + new { role = ChatRole.Assistant, text = "First one", index = 0, reason = CompletionsFinishReason.ContentFiltered }, + new { role = ChatRole.System, text = "Second one", index = -1, reason = CompletionsFinishReason.Stopped }, + new { role = ChatRole.User, text = "Final one", index = 3, reason = CompletionsFinishReason.TokenLimitReached }, + }; + + ChatChoice[] chatChoices = expectedChoices + .Select(e => AzureOpenAIModelFactory.ChatChoice( + new ChatMessage(e.role, e.text), + e.index, + e.reason)) + .ToArray(); + Assert.That(chatChoices, Is.All.Not.Null); + + for (int i = 0; i < chatChoices.Length; i++) + { + ChatChoice actual = chatChoices[i]; + var expected = expectedChoices[i]; + + Assert.That(actual.Message, Is.Not.Null); + Assert.That(actual.Message.Role, Is.EqualTo(expected.role)); + Assert.That(actual.Message.Content, Is.EqualTo(expected.text)); + Assert.That(actual.Index, Is.EqualTo(expected.index)); + Assert.That(actual.FinishReason, Is.EqualTo(expected.reason)); + } + } + + [Test] + public void TestChatCompletions() + { + string expectedId = Guid.NewGuid().ToString(); + DateTimeOffset expectedCreationTime = DateTimeOffset.Now; + + var expectedChoices = new[] + { + new { role = ChatRole.Assistant, text = "First one", index = 0, reason = CompletionsFinishReason.ContentFiltered }, + new { role = ChatRole.System, text = "Second one", index = -1, reason = CompletionsFinishReason.Stopped }, + new { role = ChatRole.User, text = "Final one", index = 3, reason = CompletionsFinishReason.TokenLimitReached }, + }; + + ChatChoice[] chatChoices = expectedChoices + .Select(e => AzureOpenAIModelFactory.ChatChoice( + new ChatMessage(e.role, e.text), + e.index, + e.reason)) + .ToArray(); + + var promptFilterResults = new List() + { + AzureOpenAIModelFactory.PromptFilterResult( + 0, + AzureOpenAIModelFactory.ContentFilterResults( + hate: AzureOpenAIModelFactory.ContentFilterResult( + ContentFilterSeverity.Medium, + filtered: true))) + }; + + ChatCompletions chatCompletions = AzureOpenAIModelFactory.ChatCompletions( + expectedId, + expectedCreationTime, + chatChoices, + promptFilterResults, + AzureOpenAIModelFactory.CompletionsUsage(2, 5, 7)); + + Assert.That(chatCompletions, Is.Not.Null); + Assert.That(chatCompletions.Id, Is.EqualTo(expectedId)); + Assert.That(chatCompletions.Created, Is.EqualTo(expectedCreationTime).Within(TimeSpan.FromSeconds(1))); // Internally we use Unix time with second precision + Assert.That(chatCompletions.PromptFilterResults, Is.Not.Null.Or.Empty); + Assert.That(chatCompletions.PromptFilterResults[0], Is.Not.Null); + Assert.That(chatCompletions.PromptFilterResults[0].PromptIndex, Is.EqualTo(0)); + Assert.That(chatCompletions.PromptFilterResults[0].ContentFilterResults, Is.Not.Null); + Assert.That(chatCompletions.PromptFilterResults[0].ContentFilterResults.Hate, Is.Not.Null); + Assert.That(chatCompletions.PromptFilterResults[0].ContentFilterResults.Hate.Severity, Is.EqualTo(ContentFilterSeverity.Medium)); + Assert.That(chatCompletions.PromptFilterResults[0].ContentFilterResults.Hate.Filtered, Is.EqualTo(true)); + Assert.That(chatCompletions.Choices, Is.EquivalentTo(chatChoices)); + Assert.That(chatCompletions.Usage, Is.Not.Null); + Assert.That(chatCompletions.Usage.CompletionTokens, Is.EqualTo(2)); + Assert.That(chatCompletions.Usage.PromptTokens, Is.EqualTo(5)); + Assert.That(chatCompletions.Usage.TotalTokens, Is.EqualTo(7)); + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/tests/OpenAIInferenceTests.cs b/sdk/openai/Azure.AI.OpenAI/tests/OpenAIInferenceTests.cs index 5032f1c247bc4..94a37b4ec6e29 100644 --- a/sdk/openai/Azure.AI.OpenAI/tests/OpenAIInferenceTests.cs +++ b/sdk/openai/Azure.AI.OpenAI/tests/OpenAIInferenceTests.cs @@ -23,9 +23,9 @@ public OpenAIInferenceTests(bool isAsync) public async Task Completions(OpenAIClientServiceTarget serviceTarget) { OpenAIClient client = GetTestClient(serviceTarget); - string deploymentOrModelName = GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.Completions); + string deploymentOrModelName = OpenAITestBase.GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.LegacyCompletions); Assert.That(client, Is.InstanceOf()); - CompletionsOptions requestOptions = new CompletionsOptions() + CompletionsOptions requestOptions = new() { Prompts = { @@ -49,9 +49,9 @@ public async Task Completions(OpenAIClientServiceTarget serviceTarget) public async Task SimpleCompletions(OpenAIClientServiceTarget serviceTarget) { OpenAIClient client = GetTestClient(serviceTarget); - string deploymentOrModelName = GetDeploymentOrModelName( + string deploymentOrModelName = OpenAITestBase.GetDeploymentOrModelName( serviceTarget, - OpenAIClientScenario.Completions); + OpenAIClientScenario.LegacyCompletions); Response response = await client.GetCompletionsAsync(deploymentOrModelName, "Hello world!"); Assert.That(response, Is.InstanceOf>()); } @@ -62,11 +62,12 @@ public async Task SimpleCompletions(OpenAIClientServiceTarget serviceTarget) public async Task CompletionsWithTokenCredential(OpenAIClientServiceTarget serviceTarget) { OpenAIClient client = GetTestClient(serviceTarget, OpenAIClientAuthenticationType.Token); + string deploymentName = OpenAITestBase.GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.LegacyCompletions); var requestOptions = new CompletionsOptions(); requestOptions.Prompts.Add("Hello, world!"); requestOptions.Prompts.Add("I can have multiple prompts"); Assert.That(requestOptions, Is.InstanceOf()); - Response response = await client.GetCompletionsAsync(CompletionsDeploymentId, requestOptions); + Response response = await client.GetCompletionsAsync(deploymentName, requestOptions); Assert.That(response, Is.InstanceOf>()); Assert.That(response.Value.Choices, Is.Not.Null.Or.Empty); Assert.That(response.Value.Choices.Count, Is.EqualTo(2)); @@ -78,7 +79,7 @@ public async Task CompletionsWithTokenCredential(OpenAIClientServiceTarget servi public async Task Embeddings(OpenAIClientServiceTarget serviceTarget) { OpenAIClient client = GetTestClient(serviceTarget); - string deploymentOrModelName = GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.Embeddings); + string deploymentOrModelName = OpenAITestBase.GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.Embeddings); var embeddingsRequest = new EmbeddingsOptions("Your text string goes here"); Assert.That(embeddingsRequest, Is.InstanceOf()); Response response = await client.GetEmbeddingsAsync(deploymentOrModelName, embeddingsRequest); @@ -91,7 +92,7 @@ public async Task Embeddings(OpenAIClientServiceTarget serviceTarget) public async Task CompletionsUsageField(OpenAIClientServiceTarget serviceTarget) { OpenAIClient client = GetTestClient(serviceTarget); - string deploymentOrModelName = GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.Completions); + string deploymentOrModelName = OpenAITestBase.GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.LegacyCompletions); var requestOptions = new CompletionsOptions() { Prompts = @@ -134,7 +135,7 @@ public async Task CompletionsUsageField(OpenAIClientServiceTarget serviceTarget) public async Task ChatCompletions(OpenAIClientServiceTarget serviceTarget) { OpenAIClient client = GetTestClient(serviceTarget); - string deploymentOrModelName = GetDeploymentOrModelName( + string deploymentOrModelName = OpenAITestBase.GetDeploymentOrModelName( serviceTarget, OpenAIClientScenario.ChatCompletions); var requestOptions = new ChatCompletionsOptions() @@ -146,7 +147,6 @@ public async Task ChatCompletions(OpenAIClientServiceTarget serviceTarget) new ChatMessage(ChatRole.Assistant, "Of course! What do you need help with?"), new ChatMessage(ChatRole.User, "What temperature should I bake pizza at?"), }, - MaxTokens = 512, }; Response response = await client.GetChatCompletionsAsync( deploymentOrModelName, @@ -164,13 +164,111 @@ public async Task ChatCompletions(OpenAIClientServiceTarget serviceTarget) Assert.That(choice.Message.Content, Is.Not.Null.Or.Empty); } + [RecordedTest] + [TestCase(OpenAIClientServiceTarget.Azure)] + [TestCase(OpenAIClientServiceTarget.NonAzure)] + public async Task ChatCompletionsContentFilterCategories(OpenAIClientServiceTarget serviceTarget) + { + OpenAIClient client = GetTestClient(serviceTarget); + string deploymentOrModelName = OpenAITestBase.GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.ChatCompletions); + var requestOptions = new ChatCompletionsOptions() + { + Messages = + { + new ChatMessage(ChatRole.User, "How do I cook a bell pepper?"), + }, + }; + Response response = await client.GetChatCompletionsAsync(deploymentOrModelName, requestOptions); + + Assert.That(response, Is.Not.Null); + Assert.That(response.Value, Is.Not.Null); + Assert.That(response.Value.Choices, Is.Not.Null.Or.Empty); + + ChatChoice firstChoice = response.Value.Choices[0]; + Assert.That(firstChoice, Is.Not.Null); + + if (serviceTarget == OpenAIClientServiceTarget.NonAzure) + { + Assert.That(response.Value.PromptFilterResults, Is.Null.Or.Empty); + Assert.That(firstChoice.ContentFilterResults, Is.Null); + } + else + { + Assert.That(response.Value.PromptFilterResults, Is.Not.Null.Or.Empty); + Assert.That(response.Value.PromptFilterResults[0].PromptIndex, Is.EqualTo(0)); + Assert.That(response.Value.PromptFilterResults[0].ContentFilterResults, Is.Not.Null); + Assert.That(response.Value.PromptFilterResults[0].ContentFilterResults.Hate, Is.Not.Null); + Assert.That(response.Value.PromptFilterResults[0].ContentFilterResults.Hate.Filtered, Is.False); + Assert.That( + response.Value.PromptFilterResults[0].ContentFilterResults.Hate.Severity, + Is.EqualTo(ContentFilterSeverity.Safe)); + Assert.That(response.Value.Choices[0].ContentFilterResults, Is.Not.Null.Or.Empty); + Assert.That(response.Value.Choices[0].ContentFilterResults.Hate, Is.Not.Null); + Assert.That(response.Value.Choices[0].ContentFilterResults.Hate.Filtered, Is.False); + Assert.That( + response.Value.Choices[0].ContentFilterResults.Hate.Severity, + Is.EqualTo(ContentFilterSeverity.Safe)); + } + } + + [RecordedTest] + [TestCase(OpenAIClientServiceTarget.Azure)] + [TestCase(OpenAIClientServiceTarget.NonAzure)] + public async Task CompletionsContentFilterCategories(OpenAIClientServiceTarget serviceTarget) + { + // Temporary test note: at the time of authoring, content filter results aren't included for completions + // with the latest 2023-07-01-preview service API version. We'll manually configure one version behind + // pending the latest version having these results enabled. + OpenAIClient client = GetTestClient( + serviceTarget, + azureServiceVersionOverride: OpenAIClientOptions.ServiceVersion.V2023_06_01_Preview); + string deploymentOrModelName + = OpenAITestBase.GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.Completions); + var requestOptions = new CompletionsOptions() + { + Prompts = { "How do I cook a bell pepper?" }, + Temperature = 0 + }; + Response response = await client.GetCompletionsAsync(deploymentOrModelName, requestOptions); + + Assert.That(response, Is.Not.Null); + Assert.That(response.Value, Is.Not.Null); + Assert.That(response.Value.Choices, Is.Not.Null.Or.Empty); + + Choice firstChoice = response.Value.Choices[0]; + Assert.That(firstChoice, Is.Not.Null); + + if (serviceTarget == OpenAIClientServiceTarget.NonAzure) + { + Assert.That(response.Value.PromptFilterResults, Is.Null.Or.Empty); + Assert.That(firstChoice.ContentFilterResults, Is.Null); + } + else + { + Assert.That(response.Value.PromptFilterResults, Is.Not.Null.Or.Empty); + Assert.That(response.Value.PromptFilterResults[0].PromptIndex, Is.EqualTo(0)); + Assert.That(response.Value.PromptFilterResults[0].ContentFilterResults, Is.Not.Null); + Assert.That(response.Value.PromptFilterResults[0].ContentFilterResults.Hate, Is.Not.Null); + Assert.That(response.Value.PromptFilterResults[0].ContentFilterResults.Hate.Filtered, Is.False); + Assert.That( + response.Value.PromptFilterResults[0].ContentFilterResults.Hate.Severity, + Is.EqualTo(ContentFilterSeverity.Safe)); + Assert.That(response.Value.Choices[0].ContentFilterResults, Is.Not.Null.Or.Empty); + Assert.That(response.Value.Choices[0].ContentFilterResults.Hate, Is.Not.Null); + Assert.That(response.Value.Choices[0].ContentFilterResults.Hate.Filtered, Is.False); + Assert.That( + response.Value.Choices[0].ContentFilterResults.Hate.Severity, + Is.EqualTo(ContentFilterSeverity.Safe)); + } + } + [RecordedTest] [TestCase(OpenAIClientServiceTarget.Azure)] [TestCase(OpenAIClientServiceTarget.NonAzure)] public async Task StreamingChatCompletions(OpenAIClientServiceTarget serviceTarget) { OpenAIClient client = GetTestClient(serviceTarget); - string deploymentOrModelName = GetDeploymentOrModelName( + string deploymentOrModelName = OpenAITestBase.GetDeploymentOrModelName( serviceTarget, OpenAIClientScenario.ChatCompletions); var requestOptions = new ChatCompletionsOptions() @@ -203,6 +301,13 @@ Response streamingResponse } Assert.That(totalMessages, Is.GreaterThan(1)); + + // Note: these top-level values *are likely not yet populated* until *after* at least one streaming + // choice has arrived. + Assert.That(streamingResponse.GetRawResponse(), Is.Not.Null.Or.Empty); + Assert.That(streamingChatCompletions.Id, Is.Not.Null.Or.Empty); + Assert.That(streamingChatCompletions.Created, Is.GreaterThan(new DateTimeOffset(new DateTime(2023, 1, 1)))); + Assert.That(streamingChatCompletions.Created, Is.LessThan(DateTimeOffset.UtcNow.AddDays(7))); } [RecordedTest] @@ -211,7 +316,7 @@ Response streamingResponse public async Task AdvancedCompletionsOptions(OpenAIClientServiceTarget serviceTarget) { OpenAIClient client = GetTestClient(serviceTarget); - string deploymentOrModelName = GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.Completions); + string deploymentOrModelName = OpenAITestBase.GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.LegacyCompletions); string promptText = "Are bananas especially radioactive?"; var requestOptions = new CompletionsOptions() { @@ -275,7 +380,7 @@ public void BadDeploymentFails(OpenAIClientServiceTarget serviceTarget) public async Task TokenCutoff(OpenAIClientServiceTarget serviceTarget) { OpenAIClient client = GetTestClient(serviceTarget); - string deploymentOrModelName = GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.Completions); + string deploymentOrModelName = OpenAITestBase.GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.LegacyCompletions); var requestOptions = new CompletionsOptions() { Prompts = @@ -299,8 +404,13 @@ public async Task TokenCutoff(OpenAIClientServiceTarget serviceTarget) [TestCase(OpenAIClientServiceTarget.NonAzure)] public async Task StreamingCompletions(OpenAIClientServiceTarget serviceTarget) { - OpenAIClient client = GetTestClient(serviceTarget); - string deploymentOrModelName = GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.Completions); + // Temporary test note: at the time of authoring, content filter results aren't included for completions + // with the latest 2023-07-01-preview service API version. We'll manually configure one version behind + // pending the latest version having these results enabled. + OpenAIClient client = GetTestClient( + serviceTarget, + azureServiceVersionOverride: OpenAIClientOptions.ServiceVersion.V2023_06_01_Preview); + string deploymentOrModelName = OpenAITestBase.GetDeploymentOrModelName(serviceTarget, OpenAIClientScenario.LegacyCompletions); var requestOptions = new CompletionsOptions() { Prompts = @@ -327,19 +437,14 @@ public async Task StreamingCompletions(OpenAIClientServiceTarget serviceTarget) await foreach (StreamingChoice choice in responseValue.GetChoicesStreaming()) { - List textPartsForChoice = new List(); - StringBuilder choiceTextBuilder = new StringBuilder(); + List textPartsForChoice = new(); + StringBuilder choiceTextBuilder = new(); await foreach (string choiceTextPart in choice.GetTextStreaming()) { choiceTextBuilder.Append(choiceTextPart); textPartsForChoice.Add(choiceTextPart); } Assert.That(choiceTextBuilder.ToString(), Is.Not.Null.Or.Empty); - // Note: needs to be clarified why AOAI sets this and OAI does not - if (serviceTarget == OpenAIClientServiceTarget.Azure) - { - Assert.That(choice.FinishReason, Is.Not.Null.Or.Empty); - } Assert.That(choice.LogProbabilityModel, Is.Not.Null); originallyEnumeratedChoices++; originallyEnumeratedTextParts.Add(textPartsForChoice); @@ -389,7 +494,7 @@ public void JsonTypeSerialization() private static async Task> GetBlockingListFromIAsyncEnumerable( IAsyncEnumerable asyncValues) { - List result = new List(); + List result = new(); await foreach (T asyncValue in asyncValues) { result.Add(asyncValue); diff --git a/sdk/openai/Azure.AI.OpenAI/tests/OpenAITestBase.cs b/sdk/openai/Azure.AI.OpenAI/tests/OpenAITestBase.cs index 61290a4570278..d53e86126ca5b 100644 --- a/sdk/openai/Azure.AI.OpenAI/tests/OpenAITestBase.cs +++ b/sdk/openai/Azure.AI.OpenAI/tests/OpenAITestBase.cs @@ -5,6 +5,7 @@ using System.Linq; using Azure.Core; using Azure.Core.TestFramework; +using Azure.Core.TestFramework.Models; using Azure.ResourceManager; using Azure.ResourceManager.CognitiveServices; using Azure.ResourceManager.CognitiveServices.Models; @@ -17,56 +18,49 @@ public abstract class OpenAITestBase : RecordedTestBase { private static class Constants { - public const string CompletionsDeploymentIdVariable = "OPENAI_DEPLOYMENT_ID"; - public const string ChatCompletionsDeploymentIdVariable = "OPENAI_CHAT_COMPLETIONS_DEPLOYMENT_ID"; - public const string EmbeddingsDeploymentIdVariable = "OPENAI_EMBEDDINGS_DEPLOYMENT_ID"; - public const string OpenAIAuthTokenVariable = "OPENAI_AUTH_TOKEN"; public const string EndpointVariable = "OPENAI_ENDPOINT"; public const string ResourceGroupName = "openai-test-rg"; public const string CognitiveServicesAccountName = "openai-sdk-test-automation-account-eastus"; - public const string CompletionsModelName = "text-davinci-002"; - public const string ChatCompletionsModelName = "gpt-35-turbo"; - public const string EmbeddingsModelName = "text-similarity-curie-001"; - public const string NonAzureCompletionsModelName = "text-davinci-002"; - public const string NonAzureChatCompletionsModelName = "gpt-3.5-turbo"; - public const string NonAzureEmbeddingsModelName = "text-embedding-ada-002"; public const string SubDomainPrefix = "sdk"; public static AzureLocation Location = AzureLocation.EastUS; } - private static readonly object _deploymentIdLock = new object(); - - public string CompletionsDeploymentId { get => _completionsDeploymentId; } - public string ChatCompletionsDeploymentId { get => _chatCompletionsDeploymentId; } - public string EmbeddingsDeploymentId { get => _embeddingsDeploymentId; } - - public string NonAzureCompletionsModelName => Constants.NonAzureCompletionsModelName; - public string NonAzureChatCompletionsModelName => Constants.NonAzureChatCompletionsModelName; - public string NonAzureEmbeddingsModelName => Constants.NonAzureEmbeddingsModelName; + private static readonly object s_deploymentIdLock = new(); private Uri _endpoint; - private AzureKeyCredential _apiKey; + private AzureKeyCredential _azureApiKey; private string _completionsDeploymentId; private string _chatCompletionsDeploymentId; private string _embeddingsDeploymentId; - private string _openAIAuthToken; + private string _nonAzureApiKey; protected OpenAITestBase(bool isAsync, RecordedTestMode? mode = null) : base(isAsync, mode) { - HeaderRegexSanitizers.Add(new Core.TestFramework.Models.HeaderRegexSanitizer("api-key", "***********")); + BodyRegexSanitizers.Add(new BodyRegexSanitizer("sig=[^\"]*", "sig=Sanitized")); + HeaderRegexSanitizers.Add(new HeaderRegexSanitizer("api-key", "***********")); + UriRegexSanitizers.Add(new UriRegexSanitizer("sig=[^\"]*", "sig=Sanitized")); + SanitizedQueryParameters.Add("sig"); } - protected OpenAIClient GetAzureClientWithKey() => InstrumentClient( - new OpenAIClient(_endpoint, GetAzureApiKey(), GetInstrumentedClientOptions())); + protected OpenAIClient GetAzureClientWithKey( + OpenAIClientOptions.ServiceVersion? azureServiceVersionOverride = null) + => InstrumentClient(new OpenAIClient( + _endpoint, + GetAzureApiKey(), + GetInstrumentedClientOptions(azureServiceVersionOverride))); - protected OpenAIClient GetAzureClientWithToken() => InstrumentClient( - new OpenAIClient(_endpoint, TestEnvironment.Credential, GetInstrumentedClientOptions(_completionsDeploymentId))); + protected OpenAIClient GetAzureClientWithToken( + OpenAIClientOptions.ServiceVersion? azureServiceVersionOverride = null) + => InstrumentClient(new OpenAIClient( + _endpoint, + TestEnvironment.Credential, + GetInstrumentedClientOptions(azureServiceVersionOverride))); protected OpenAIClient GetNonAzureClientWithKey() => InstrumentClient( new OpenAIClient(GetNonAzureApiKey(), GetInstrumentedClientOptions())); - protected AzureKeyCredential GetAzureApiKey() => _apiKey ?? new AzureKeyCredential("placeholder"); - protected string GetNonAzureApiKey() => string.IsNullOrEmpty(_openAIAuthToken) ? "placeholder" : _openAIAuthToken; + protected AzureKeyCredential GetAzureApiKey() => _azureApiKey ?? new AzureKeyCredential("placeholder"); + protected string GetNonAzureApiKey() => string.IsNullOrEmpty(_nonAzureApiKey) ? "placeholder" : _nonAzureApiKey; [SetUp] public void CreateDeployment() @@ -75,20 +69,23 @@ public void CreateDeployment() { // For playback, setup details are populated directly from the test recordings _endpoint = new Uri(Recording.GetVariable(Constants.EndpointVariable, null)); - _completionsDeploymentId = Recording.GetVariable(Constants.CompletionsDeploymentIdVariable, null); - _embeddingsDeploymentId = Recording.GetVariable(Constants.EmbeddingsDeploymentIdVariable, null); - _chatCompletionsDeploymentId = Recording.GetVariable(Constants.ChatCompletionsDeploymentIdVariable, null); + _completionsDeploymentId + = Recording.GetVariable(ModelDeploymentEntry.LegacyCompletions.EnvironmentVariableName, null); + _embeddingsDeploymentId + = Recording.GetVariable(ModelDeploymentEntry.ChatCompletions.EnvironmentVariableName, null); + _chatCompletionsDeploymentId + = Recording.GetVariable(ModelDeploymentEntry.Embeddings.EnvironmentVariableName, null); } - else if (_apiKey is not null) + else if (_azureApiKey is not null) { // Non-recording modes don't need to initialize again if we've already initialized the deployment } else { // Non-recording modes that haven't yet initialized need to go initialize the deployment - lock (_deploymentIdLock) + lock (s_deploymentIdLock) { - if (_apiKey is not null) + if (_azureApiKey is not null) { // The lock may have taken a while to acquire if deployment was already underway in parallel; check here one more time // and carry on if we're already good to go. @@ -96,7 +93,7 @@ public void CreateDeployment() else { TestEnvironment.ThrowIfCannotDeploy(); - ArmClient armClient = new ArmClient(TestEnvironment.Credential); + ArmClient armClient = new(TestEnvironment.Credential); ResourceIdentifier subscriptionResourceId = SubscriptionResource.CreateResourceIdentifier(TestEnvironment.SubscriptionId); SubscriptionResource subscription = armClient.GetSubscriptionResource(subscriptionResourceId); @@ -122,18 +119,9 @@ public void CreateDeployment() } }).Invoke(); - CognitiveServicesAccountDeploymentResource completionsModelResource = GetEnsureDeployedModelResource( - openAIResource, - Constants.CompletionsModelName, - CognitiveServicesAccountDeploymentScaleType.Standard); - CognitiveServicesAccountDeploymentResource chatCompletionsModelResource = GetEnsureDeployedModelResource( - openAIResource, - Constants.ChatCompletionsModelName, - CognitiveServicesAccountDeploymentScaleType.Standard); - CognitiveServicesAccountDeploymentResource embeddingsModelResource = GetEnsureDeployedModelResource( - openAIResource, - Constants.EmbeddingsModelName, - CognitiveServicesAccountDeploymentScaleType.Standard); + CognitiveServicesAccountDeploymentResource completionsModelResource = GetEnsureDeployedModelResource(openAIResource, ModelDeploymentEntry.LegacyCompletions); + CognitiveServicesAccountDeploymentResource chatCompletionsModelResource = GetEnsureDeployedModelResource(openAIResource, ModelDeploymentEntry.ChatCompletions); + CognitiveServicesAccountDeploymentResource embeddingsModelResource = GetEnsureDeployedModelResource(openAIResource, ModelDeploymentEntry.Embeddings); _endpoint = new Uri(openAIResource.Data.Properties.Endpoint); _completionsDeploymentId = completionsModelResource.Id.Name; @@ -141,8 +129,8 @@ public void CreateDeployment() _embeddingsDeploymentId = embeddingsModelResource.Id.Name; ServiceAccountApiKeys keys = openAIResource.GetKeys(); - _apiKey = new AzureKeyCredential(keys.Key1); - _openAIAuthToken = TestEnvironment.PublicOpenAiApiKey; + _azureApiKey = new AzureKeyCredential(keys.Key1); + _nonAzureApiKey = TestEnvironment.PublicOpenAiApiKey; } } } @@ -150,15 +138,21 @@ public void CreateDeployment() if (Mode == RecordedTestMode.Record) { Recording.SetVariable(Constants.EndpointVariable, _endpoint.ToString()); - Recording.SetVariable(Constants.CompletionsDeploymentIdVariable, _completionsDeploymentId); - Recording.SetVariable(Constants.ChatCompletionsDeploymentIdVariable, _chatCompletionsDeploymentId); - Recording.SetVariable(Constants.EmbeddingsDeploymentIdVariable, _embeddingsDeploymentId); + Recording.SetVariable( + ModelDeploymentEntry.LegacyCompletions.EnvironmentVariableName, + _completionsDeploymentId); + Recording.SetVariable( + ModelDeploymentEntry.ChatCompletions.EnvironmentVariableName, + _chatCompletionsDeploymentId); + Recording.SetVariable( + ModelDeploymentEntry.Embeddings.EnvironmentVariableName, + _embeddingsDeploymentId); } } private static ResourceGroupResource GetEnsureTestResourceGroup(SubscriptionResource subscription) { - ResourceGroupData rgData = new ResourceGroupData(Constants.Location); + ResourceGroupData rgData = new(Constants.Location); rgData.Tags.Add("DeleteAfter", DateTime.Now.AddDays(2).ToString("MM/dd/yyyy hh:mm:sszzz")); ResourceGroupResource resourceGroup = subscription.GetResourceGroups().Exists(Constants.ResourceGroupName) ? subscription.GetResourceGroup(Constants.ResourceGroupName) @@ -168,7 +162,7 @@ private static ResourceGroupResource GetEnsureTestResourceGroup(SubscriptionReso private static CognitiveServicesAccountResource GetEnsureTestOpenAIResource(ResourceGroupResource resourceGroup, string subdomain) { - CognitiveServicesAccountData csaData = new CognitiveServicesAccountData(Constants.Location) + CognitiveServicesAccountData csaData = new(Constants.Location) { Kind = "OpenAI", Sku = new CognitiveServicesSku("S0"), @@ -185,47 +179,109 @@ private static CognitiveServicesAccountResource GetEnsureTestOpenAIResource(Reso private static CognitiveServicesAccountDeploymentResource GetEnsureDeployedModelResource( CognitiveServicesAccountResource openAIResource, - string modelName, - CognitiveServicesAccountDeploymentScaleType modelScaleType) + ModelDeploymentEntry modelEntry) { - Pageable availableModels = openAIResource.GetModels(); - CognitiveServicesAccountModel matchingModel = availableModels.FirstOrDefault(m => m.Name == modelName); - if (matchingModel == null) + // Special case: "legacy" models can't be re-deployed and so we'll just make a best effort to retrieve + // it. By design, we cannot automatically regenerate the test resource programmatically if it's deleted. + if (modelEntry.IsLegacyAzureModel) { - throw new Exception($"No available models match 'modelName' for Azure OpenAI resource: {openAIResource.Id}" - + $"Available models:\n {string.Join("\n ", availableModels.Select(model => model.Name))}"); + return openAIResource.GetCognitiveServicesAccountDeployment(modelEntry.AzureDeploymentName).Value; } - var deploymentData = new CognitiveServicesAccountDeploymentData() - { - Properties = new CognitiveServicesAccountDeploymentProperties() - { - Model = new CognitiveServicesAccountDeploymentModel() - { - Format = matchingModel.Format, - Name = matchingModel.Name, - Version = matchingModel.Version, - }, - ScaleSettings = new CognitiveServicesAccountDeploymentScaleSettings() - { - ScaleType = modelScaleType, - }, - }, - }; + Pageable availableModels = openAIResource.GetModels(); + CognitiveServicesAccountModel matchingModel = availableModels + .FirstOrDefault(m => m.Name == modelEntry.AzureModelName) + ?? throw new Exception( + $"No available models match 'modelName' for Azure OpenAI resource: {openAIResource.Id}" + + $"Available models:\n {string.Join("\n ", availableModels.Select(model => model.Name))}"); CognitiveServicesAccountDeploymentCollection existingModelDeployments = openAIResource.GetCognitiveServicesAccountDeployments(); + if (existingModelDeployments.Exists(matchingModel.Name)) { return openAIResource.GetCognitiveServicesAccountDeployment(matchingModel.Name).Value; } else { + var deploymentData = new CognitiveServicesAccountDeploymentData() + { + Properties = new CognitiveServicesAccountDeploymentProperties() + { + Model = new CognitiveServicesAccountDeploymentModel() + { + Format = matchingModel.Format, + Name = matchingModel.Name, + Version = matchingModel.Version, + }, + ScaleSettings = new CognitiveServicesAccountDeploymentScaleSettings() + { + ScaleType = CognitiveServicesAccountDeploymentScaleType.Standard, + }, + }, + }; + return openAIResource.GetCognitiveServicesAccountDeployments().CreateOrUpdate(WaitUntil.Completed, matchingModel.Name, deploymentData).Value; } } - private OpenAIClientOptions GetInstrumentedClientOptions(string defaultDeploymentOrModelName = null) - => InstrumentClientOptions(new OpenAIClientOptions()); + private OpenAIClientOptions GetInstrumentedClientOptions( + OpenAIClientOptions.ServiceVersion? azureServiceVersionOverride = null) + { + OpenAIClientOptions uninstrumentedClientOptions = azureServiceVersionOverride.HasValue + ? new OpenAIClientOptions(azureServiceVersionOverride.Value) + : new OpenAIClientOptions(); + return InstrumentClientOptions(uninstrumentedClientOptions); + } + + public class ModelDeploymentEntry + { + /// + /// Model/deployment information to use for /completions that include old features like echo + /// and logprobs. Azure OpenAI added new Completions support for gpt-35-turbo but did not carry + /// these forward. + /// + public static readonly ModelDeploymentEntry LegacyCompletions = new() + { + AzureDeploymentName = "text-davinci-002", + AzureModelName = "text-davinci-002", + NonAzureModelName = "text-davinci-002", + EnvironmentVariableName = "COMPLETIONS_DEPLOYMENT_NAME", + IsLegacyAzureModel = true, + }; + + /// + /// Model/deployment information to use for latest /completions features. Azure OpenAI has a different + /// capability set exposed via gpt-35-turbo than legacy models like text-davinci-002. + /// + public static readonly ModelDeploymentEntry Completions = new() + { + AzureDeploymentName = "gpt-35-turbo", + AzureModelName = "gpt-35-turbo", + NonAzureModelName = "text-davinci-002", + }; + + public static readonly ModelDeploymentEntry ChatCompletions = new() + { + AzureDeploymentName = "gpt-4-0613", + AzureModelName = "gpt-35-turbo", + NonAzureModelName = "gpt-3.5-turbo", + EnvironmentVariableName = "CHAT_COMPLETIONS_DEPLOYMENT_NAME", + }; + + public static readonly ModelDeploymentEntry Embeddings = new() + { + AzureDeploymentName = "text-embedding-ada-002", + AzureModelName = "text-embedding-ada-002", + NonAzureModelName = "text-embedding-ada-002", + EnvironmentVariableName = "EMBEDDINGS_DEPLOYMENT_NAME", + }; + + public string AzureDeploymentName { get; set; } + public string AzureModelName { get; set; } + public string NonAzureModelName { get; set; } + public string EnvironmentVariableName { get; set; } + public bool IsLegacyAzureModel { get; set; } = false; + } public enum OpenAIClientServiceTarget { @@ -243,14 +299,15 @@ public enum OpenAIClientAuthenticationType public OpenAIClient GetTestClient( OpenAIClientServiceTarget serviceTarget, - OpenAIClientAuthenticationType authenticationType = OpenAIClientAuthenticationType.ApiKey) + OpenAIClientAuthenticationType authenticationType = OpenAIClientAuthenticationType.ApiKey, + OpenAIClientOptions.ServiceVersion? azureServiceVersionOverride = null) { return (serviceTarget, authenticationType) switch { (OpenAIClientServiceTarget.Azure, OpenAIClientAuthenticationType.ApiKey) - => GetAzureClientWithKey(), + => GetAzureClientWithKey(azureServiceVersionOverride), (OpenAIClientServiceTarget.Azure, OpenAIClientAuthenticationType.Token) - => GetAzureClientWithToken(), + => GetAzureClientWithToken(azureServiceVersionOverride), (OpenAIClientServiceTarget.Azure, OpenAIClientAuthenticationType.ActiveDirectory) => throw new NotImplementedException(), (OpenAIClientServiceTarget.NonAzure, OpenAIClientAuthenticationType.ApiKey) @@ -262,24 +319,34 @@ public OpenAIClient GetTestClient( public enum OpenAIClientScenario { None, + LegacyCompletions, Completions, ChatCompletions, Embeddings, } - protected string GetDeploymentOrModelName( + protected static string GetDeploymentOrModelName( OpenAIClientServiceTarget serviceTarget, OpenAIClientScenario defaultScenario) { return (serviceTarget, defaultScenario) switch { - (OpenAIClientServiceTarget.Azure, OpenAIClientScenario.Completions) => _completionsDeploymentId, - (OpenAIClientServiceTarget.Azure, OpenAIClientScenario.ChatCompletions) => _chatCompletionsDeploymentId, - (OpenAIClientServiceTarget.Azure, OpenAIClientScenario.Embeddings) => _embeddingsDeploymentId, - (OpenAIClientServiceTarget.NonAzure, OpenAIClientScenario.Completions) => NonAzureCompletionsModelName, + (OpenAIClientServiceTarget.Azure, OpenAIClientScenario.LegacyCompletions) + => ModelDeploymentEntry.LegacyCompletions.AzureDeploymentName, + (OpenAIClientServiceTarget.Azure, OpenAIClientScenario.ChatCompletions) + => ModelDeploymentEntry.ChatCompletions.AzureDeploymentName, + (OpenAIClientServiceTarget.Azure, OpenAIClientScenario.Completions) + => ModelDeploymentEntry.Completions.AzureDeploymentName, + (OpenAIClientServiceTarget.Azure, OpenAIClientScenario.Embeddings) + => ModelDeploymentEntry.Embeddings.AzureDeploymentName, + (OpenAIClientServiceTarget.NonAzure, OpenAIClientScenario.LegacyCompletions) + => ModelDeploymentEntry.LegacyCompletions.NonAzureModelName, + (OpenAIClientServiceTarget.NonAzure, OpenAIClientScenario.Completions) + => ModelDeploymentEntry.Completions.NonAzureModelName, (OpenAIClientServiceTarget.NonAzure, OpenAIClientScenario.ChatCompletions) - => NonAzureChatCompletionsModelName, - (OpenAIClientServiceTarget.NonAzure, OpenAIClientScenario.Embeddings) => NonAzureEmbeddingsModelName, + => ModelDeploymentEntry.ChatCompletions.NonAzureModelName, + (OpenAIClientServiceTarget.NonAzure, OpenAIClientScenario.Embeddings) + => ModelDeploymentEntry.Embeddings.NonAzureModelName, _ => throw new ArgumentException("Unsupported service target / scenario combination") }; } diff --git a/sdk/openai/Azure.AI.OpenAI/tests/Samples/Sample06_ImageGenerations.cs b/sdk/openai/Azure.AI.OpenAI/tests/Samples/Sample06_ImageGenerations.cs new file mode 100644 index 0000000000000..d6b9cd5ecf6af --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/tests/Samples/Sample06_ImageGenerations.cs @@ -0,0 +1,34 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +using System; +using System.IO; +using System.Threading.Tasks; +using Azure.Identity; +using NUnit.Framework; + +namespace Azure.AI.OpenAI.Tests.Samples +{ + public partial class StreamingChat + { + [Test] + [Ignore("Only verifying that the sample builds")] + public async Task ImageGenerations() + { + string endpoint = "https://myaccount.openai.azure.com/"; + var client = new OpenAIClient(new Uri(endpoint), new DefaultAzureCredential()); + + #region Snippet:GenerateImages + Response imageGenerations = await client.GetImageGenerationsAsync( + new ImageGenerationOptions() + { + Prompt = "a happy monkey eating a banana, in watercolor", + Size = ImageSize.Size256x256, + }); + + // Image Generations responses provide URLs you can use to retrieve requested images + Uri imageUri = imageGenerations.Value.Data[0].Url; + #endregion + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/tests/Samples/Sample07_ChatFunctions.cs b/sdk/openai/Azure.AI.OpenAI/tests/Samples/Sample07_ChatFunctions.cs new file mode 100644 index 0000000000000..48b9b9a379546 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/tests/Samples/Sample07_ChatFunctions.cs @@ -0,0 +1,101 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +using System; +using System.Collections.Generic; +using System.IO; +using System.Text.Json; +using System.Threading.Tasks; +using Azure.Identity; +using NUnit.Framework; + +namespace Azure.AI.OpenAI.Tests.Samples +{ + public partial class StreamingChat + { + [Test] + [Ignore("Only verifying that the sample builds")] + public async Task ChatFunctions() + { + string endpoint = "https://myaccount.openai.azure.com/"; + var client = new OpenAIClient(new Uri(endpoint), new DefaultAzureCredential()); + + #region Snippet:ChatFunctions:DefineFunction + var getWeatherFuntionDefinition = new FunctionDefinition() + { + Name = "get_current_weather", + Description = "Get the current weather in a given location", + Parameters = BinaryData.FromObjectAsJson( + new + { + Type = "object", + Properties = new + { + Location = new + { + Type = "string", + Description = "The city and state, e.g. San Francisco, CA", + }, + Unit = new + { + Type = "string", + Enum = new[] { "celsius", "fahrenheit" }, + } + }, + Required = new[] { "location" }, + }, + new JsonSerializerOptions() { PropertyNamingPolicy = JsonNamingPolicy.CamelCase }), + }; + #endregion + + #region Snippet:ChatFunctions:RequestWithFunctions + var conversationMessages = new List() + { + new(ChatRole.User, "What is the weather like in Boston?"), + }; + + var chatCompletionsOptions = new ChatCompletionsOptions(); + foreach (ChatMessage chatMessage in conversationMessages) + { + chatCompletionsOptions.Messages.Add(chatMessage); + } + chatCompletionsOptions.Functions.Add(getWeatherFuntionDefinition); + + Response response = await client.GetChatCompletionsAsync( + "gpt-35-turbo-0613", + chatCompletionsOptions); + #endregion + + #region Snippet:ChatFunctions:HandleFunctionCall + ChatChoice responseChoice = response.Value.Choices[0]; + if (responseChoice.FinishReason == CompletionsFinishReason.FunctionCall) + { + // Include the FunctionCall message in the conversation history + conversationMessages.Add(responseChoice.Message); + + if (responseChoice.Message.FunctionCall.Name == "get_current_weather") + { + // Validate and process the JSON arguments for the function call + string unvalidatedArguments = responseChoice.Message.FunctionCall.Arguments; + var functionResultData = (object)null; // GetYourFunctionResultData(unvalidatedArguments); + // Here, replacing with an example as if returned from GetYourFunctionResultData + functionResultData = new + { + Temperature = 31, + Unit = "celsius", + }; + // Serialize the result data from the function into a new chat message with the 'Function' role, + // then add it to the messages after the first User message and initial response FunctionCall + var functionResponseMessage = new ChatMessage( + ChatRole.Function, + JsonSerializer.Serialize( + functionResultData, + new JsonSerializerOptions() { PropertyNamingPolicy = JsonNamingPolicy.CamelCase })); + conversationMessages.Add(functionResponseMessage); + // Now make a new request using all three messages in conversationMessages + } + } + #endregion + } + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/ChatFunctionsTests/SimpleFunctionCallWorks(Azure).json b/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/ChatFunctionsTests/SimpleFunctionCallWorks(Azure).json new file mode 100644 index 0000000000000..6b9912612bed0 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/ChatFunctionsTests/SimpleFunctionCallWorks(Azure).json @@ -0,0 +1,267 @@ +{ + "Entries": [ + { + "RequestUri": "https://sdk8428.openai.azure.com/openai/deployments/gpt-4-0613/chat/completions?api-version=2023-07-01-preview", + "RequestMethod": "POST", + "RequestHeaders": { + "Accept": "application/json", + "api-key": "***********", + "Connection": "keep-alive", + "Content-Length": "623", + "Content-Type": "application/json", + "traceparent": "00-448fc1e38f6c104abbaedd9b95bfe012-1713029439e69147-00", + "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230713.1 (.NET Framework 4.8.9166.0; Microsoft Windows 10.0.22621 )", + "x-ms-client-request-id": "ce6411b06bc64ec15d59de8dce588f19", + "x-ms-return-client-request-id": "true" + }, + "RequestBody": { + "messages": [ + { + "role": "system", + "content": "You are a helpful assistant." + }, + { + "role": "user", + "content": "What should I wear in Honolulu next Thursday?" + } + ], + "functions": [ + { + "name": "get_future_temperature", + "description": "requests the anticipated future temperature at a provided location to help inform advice about topics like choice of attire", + "parameters": { + "type": "object", + "properties": { + "locationName": { + "type": "string", + "description": "the name or brief description of a location for weather information" + }, + "date": { + "type": "string", + "description": "the day, month, and year for which to retrieve weather information" + } + } + } + } + ], + "max_tokens": 512 + }, + "StatusCode": 200, + "ResponseHeaders": { + "Access-Control-Allow-Origin": "*", + "apim-request-id": "8203c5a8-d5c9-46b1-b899-b284ae1c0b34", + "azureml-model-group": "online", + "azureml-model-session": "dep-1", + "Cache-Control": "must-revalidate, no-cache", + "Content-Length": "690", + "Content-Type": "application/json", + "Date": "Thu, 13 Jul 2023 17:09:16 GMT", + "openai-model": "gpt-4", + "openai-processing-ms": "1648.0617", + "Strict-Transport-Security": "max-age=31536000; includeSubDomains; preload", + "x-accel-buffering": "no", + "X-Content-Type-Options": "nosniff", + "x-ms-client-request-id": "ce6411b06bc64ec15d59de8dce588f19", + "x-ms-region": "East US", + "X-Request-ID": "35a349f0-85a4-425b-a40e-a7ac5548ff34" + }, + "ResponseBody": { + "id": "chatcmpl-7bu6VUMQ9LjdYIX1VWPFZkWBYNypn", + "object": "chat.completion", + "created": 1689268155, + "model": "gpt-4", + "prompt_annotations": [ + { + "prompt_index": 0, + "content_filter_results": { + "hate": { + "filtered": false, + "severity": "safe" + }, + "self_harm": { + "filtered": false, + "severity": "safe" + }, + "sexual": { + "filtered": false, + "severity": "safe" + }, + "violence": { + "filtered": false, + "severity": "safe" + } + } + } + ], + "choices": [ + { + "index": 0, + "finish_reason": "function_call", + "message": { + "role": "assistant", + "function_call": { + "name": "get_future_temperature", + "arguments": "{\n \u0022locationName\u0022: \u0022Honolulu\u0022,\n \u0022date\u0022: \u0022next Thursday\u0022\n}" + } + }, + "content_filter_results": {} + } + ], + "usage": { + "completion_tokens": 26, + "prompt_tokens": 108, + "total_tokens": 134 + } + } + }, + { + "RequestUri": "https://sdk8428.openai.azure.com/openai/deployments/gpt-4-0613/chat/completions?api-version=2023-07-01-preview", + "RequestMethod": "POST", + "RequestHeaders": { + "Accept": "application/json", + "api-key": "***********", + "Content-Length": "968", + "Content-Type": "application/json", + "traceparent": "00-d7cd993b2742ad4fac989963d020a2a0-aad6147d53b0364d-00", + "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230713.1 (.NET Framework 4.8.9166.0; Microsoft Windows 10.0.22621 )", + "x-ms-client-request-id": "788da3fd66fb996997921e3ffc9e9452", + "x-ms-return-client-request-id": "true" + }, + "RequestBody": { + "messages": [ + { + "role": "system", + "content": "You are a helpful assistant." + }, + { + "role": "user", + "content": "What should I wear in Honolulu next Thursday?" + }, + { + "role": "assistant", + "content": null, + "function_call": { + "name": "get_future_temperature", + "arguments": "{\n \u0022locationName\u0022: \u0022Honolulu\u0022,\n \u0022date\u0022: \u0022next Thursday\u0022\n}" + } + }, + { + "role": "function", + "content": "{\u0022temperature\u0022:\u002231\u0022,\u0022unit\u0022:\u0022celsius\u0022}", + "name": "get_future_temperature" + } + ], + "functions": [ + { + "name": "get_future_temperature", + "description": "requests the anticipated future temperature at a provided location to help inform advice about topics like choice of attire", + "parameters": { + "type": "object", + "properties": { + "locationName": { + "type": "string", + "description": "the name or brief description of a location for weather information" + }, + "date": { + "type": "string", + "description": "the day, month, and year for which to retrieve weather information" + } + } + } + } + ], + "max_tokens": 512 + }, + "StatusCode": 200, + "ResponseHeaders": { + "Access-Control-Allow-Origin": "*", + "apim-request-id": "1fc31cbc-4a2d-42ec-814a-a2a9a99e12e8", + "azureml-model-group": "online", + "azureml-model-session": "dep-1", + "Cache-Control": "must-revalidate, no-cache", + "Content-Length": "1058", + "Content-Type": "application/json", + "Date": "Thu, 13 Jul 2023 17:09:20 GMT", + "openai-model": "gpt-4", + "openai-processing-ms": "3813.5582", + "Strict-Transport-Security": "max-age=31536000; includeSubDomains; preload", + "x-accel-buffering": "no", + "X-Content-Type-Options": "nosniff", + "x-ms-client-request-id": "788da3fd66fb996997921e3ffc9e9452", + "x-ms-region": "East US", + "X-Request-ID": "719676d1-fff4-4bdb-9cc1-3d9e82b9bb44" + }, + "ResponseBody": { + "id": "chatcmpl-7bu6XKIC9xyAQdgOdZAgzXgnKmKdq", + "object": "chat.completion", + "created": 1689268157, + "model": "gpt-4", + "prompt_annotations": [ + { + "prompt_index": 0, + "content_filter_results": { + "hate": { + "filtered": false, + "severity": "safe" + }, + "self_harm": { + "filtered": false, + "severity": "safe" + }, + "sexual": { + "filtered": false, + "severity": "safe" + }, + "violence": { + "filtered": false, + "severity": "safe" + } + } + } + ], + "choices": [ + { + "index": 0, + "finish_reason": "stop", + "message": { + "role": "assistant", + "content": "Given that the temperature in Honolulu next Thursday is expected to be around 31 degrees Celsius, I\u0027d recommend light clothing. 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+ } + ], + "Variables": { + "CHAT_COMPLETIONS_DEPLOYMENT_NAME": "gpt-35-turbo", + "COMPLETIONS_DEPLOYMENT_NAME": "text-davinci-002", + "EMBEDDINGS_DEPLOYMENT_NAME": "text-embedding-ada-002", + "OPENAI_ENDPOINT": "https://sdk8428.openai.azure.com/", + "RandomSeed": "492487336" + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/AdvancedCompletionsOptions(Azure).json b/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/AdvancedCompletionsOptions(Azure).json index f99528d03fc38..75dbebfc6b8e0 100644 --- a/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/AdvancedCompletionsOptions(Azure).json +++ b/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/AdvancedCompletionsOptions(Azure).json @@ -1,16 +1,16 @@ { "Entries": [ { - "RequestUri": "https://sdk8428.openai.azure.com/openai/deployments/text-davinci-002/completions?api-version=2023-03-15-preview", + "RequestUri": "https://sdk8428.openai.azure.com/openai/deployments/text-davinci-002/completions?api-version=2023-07-01-preview", "RequestMethod": "POST", "RequestHeaders": { "Accept": "application/json", "api-key": "***********", "Content-Length": "219", "Content-Type": "application/json", - "traceparent": "00-abe28deba9eaa3970206bd181a711728-a9e15d85ff3c2268-00", - "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230404.1 (.NET 6.0.15; Microsoft Windows 10.0.25324)", - "x-ms-client-request-id": "0e3a8bba47a19b49284eff3b8f63aacb", + "traceparent": "00-92665ff9d6981545f29bc692c2384e66-10d2b89f47dd3fd8-00", + "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230710.1 (.NET 6.0.18; Microsoft Windows 10.0.25393)", + "x-ms-client-request-id": "a6ee4cdaa80b8e611465a133b1a138d5", "x-ms-return-client-request-id": "true" }, "RequestBody": { @@ -33,29 +33,28 @@ "StatusCode": 200, "ResponseHeaders": { "Access-Control-Allow-Origin": "*", - "Aicon-Correlation-Id": "9287d06a-5c61-4c13-ad38-ffa0ccb0ea90", - 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"RequestUri": "https://sdk8428.openai.azure.com/openai/deployments/BAD_DEPLOYMENT_ID/completions?api-version=2023-03-15-preview", + "RequestUri": "https://sdk8428.openai.azure.com/openai/deployments/BAD_DEPLOYMENT_ID/completions?api-version=2023-07-01-preview", "RequestMethod": "POST", "RequestHeaders": { "Accept": "application/json", "api-key": "***********", "Content-Length": "26", "Content-Type": "application/json", - "traceparent": "00-9bf4f06f4e2ca5c017d977d79e059222-60900fa02e394b51-00", - "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230320.1 (.NET 7.0.4; Microsoft Windows 10.0.25300)", - "x-ms-client-request-id": "1f5b9ee17502bb089bb01f7060b44b7f", + "traceparent": "00-e630ed0d7c92eeb511abe51dd9957ef5-7d71c07698f178d4-00", + "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230710.1 (.NET 6.0.18; Microsoft Windows 10.0.25393)", + "x-ms-client-request-id": "a3d9fa7d359a39a28102582f3623232f", "x-ms-return-client-request-id": "true" }, "RequestBody": { @@ -20,13 +20,14 @@ }, "StatusCode": 404, "ResponseHeaders": { - 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], - "max_tokens": 512 + ] }, "StatusCode": 200, "ResponseHeaders": { "Access-Control-Allow-Origin": "*", - "apim-request-id": "ae5e651d-147b-45f6-a62e-a6818a8b71ea", + "apim-request-id": "02769465-8b3f-4cab-a03b-6ccf4fb195a9", + "azureml-model-group": "online", + "azureml-model-session": "dep-2", "Cache-Control": "must-revalidate, no-cache", + "Content-Length": "978", "Content-Type": "application/json", - "Date": "Tue, 21 Mar 2023 00:43:16 GMT", - "openai-model": "gpt-35-turbo", - "openai-processing-ms": "1242.7171", + "Date": "Thu, 13 Jul 2023 17:11:13 GMT", + "openai-model": "gpt-4", + "openai-processing-ms": "2587.8289", "Strict-Transport-Security": "max-age=31536000; includeSubDomains; preload", - "Transfer-Encoding": "chunked", "x-accel-buffering": "no", "X-Content-Type-Options": "nosniff", - "x-ms-client-request-id": "c9db90f4cb5435ed6e6203f707eea437", + "x-ms-client-request-id": "14a31301e810e877f46a8135e1ee63f2", "x-ms-region": "East US", - "X-Request-ID": "eb9e4113-77ce-43df-bcad-af83b8a6c2fe" + "X-Request-ID": "6f881fd6-b6dc-4b41-b8a4-f90a41e98886" }, "ResponseBody": { - 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However, it\u0027s always a good idea to follow the instructions on the pizza packaging, as some brands may have specific temperature recommendations." }, - "finish_reason": "stop", - "index": 0 + "finish_reason": "stop" } - ] + ], + "usage": { + "prompt_tokens": 48, + "completion_tokens": 66, + "total_tokens": 114 + } } } ], "Variables": { - "OPENAI_DEPLOYMENT_ID": "text-davinci-002", - "OPENAI_EMBEDDINGS_DEPLOYMENT_ID": "text-similarity-curie-001", + "CHAT_COMPLETIONS_DEPLOYMENT_NAME": "gpt-35-turbo", + "COMPLETIONS_DEPLOYMENT_NAME": "gpt-35-turbo", + "EMBEDDINGS_DEPLOYMENT_NAME": "text-embedding-ada-002", "OPENAI_ENDPOINT": "https://sdk8428.openai.azure.com/", - "RandomSeed": "1000202524" + "RandomSeed": "1166987579" } } diff --git a/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/ChatCompletions(NonAzure)Async.json b/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/ChatCompletions(NonAzure)Async.json index 9a7dc7ba4fa79..7b9ad8d2b3e8d 100644 --- a/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/ChatCompletions(NonAzure)Async.json +++ b/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/ChatCompletions(NonAzure)Async.json @@ -6,11 +6,11 @@ "RequestHeaders": { "Accept": "application/json", "Authorization": "Sanitized", - "Content-Length": "300", + "Content-Length": "283", "Content-Type": "application/json", - "traceparent": "00-aea759ce4163714d0cea1ffb926901e5-a216728501571333-00", - "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230320.1 (.NET 7.0.4; Microsoft Windows 10.0.25300)", - "x-ms-client-request-id": "c46d8bca1cdd3c870ab5fdc68d2ed2b7", + "traceparent": "00-cb83685eaed2461211f755405e394c10-d3bdde3eda10a65b-00", + "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230710.1 (.NET 6.0.18; Microsoft Windows 10.0.25393)", + "x-ms-client-request-id": "4103604d2cf5c6fc5d4a898edd90e0a8", "x-ms-return-client-request-id": "true" }, "RequestBody": { @@ -32,54 +32,142 @@ "content": "What temperature should I bake pizza at?" } ], - "max_tokens": 512, "model": "gpt-3.5-turbo" }, "StatusCode": 200, "ResponseHeaders": { "Access-Control-Allow-Origin": "*", + "Alt-Svc": "h3=\u0022:443\u0022", "Cache-Control": "must-revalidate, no-cache", + "CF-Cache-Status": "DYNAMIC", + "CF-RAY": "7e523207ca33c388-SEA", "Connection": "keep-alive", - "Content-Length": "621", "Content-Type": "application/json", - "Date": "Tue, 21 Mar 2023 00:36:50 GMT", - "Openai-Model": "gpt-3.5-turbo-0301", - "Openai-Organization": "msft-finetuning-2", - "Openai-Processing-Ms": "2051", - "Openai-Version": "2020-10-01", + "Date": "Tue, 11 Jul 2023 15:49:17 GMT", + "openai-model": "gpt-3.5-turbo-0613", + "openai-organization": "msft-finetuning-2", + "openai-processing-ms": "1268", + "openai-version": "2020-10-01", + "Server": "cloudflare", "Strict-Transport-Security": "max-age=15724800; includeSubDomains", - "X-Ratelimit-Limit-Requests": "3500", - "X-Ratelimit-Remaining-Requests": "3499", - "X-Ratelimit-Reset-Requests": "17ms", - "X-Request-ID": "6ba06f355a75cd3509bd5aba27c9bd52" + "Transfer-Encoding": "chunked", + "x-ratelimit-limit-requests": "3500", + "x-ratelimit-limit-tokens": "90000", + "x-ratelimit-remaining-requests": "3499", + "x-ratelimit-remaining-tokens": "89949", + "x-ratelimit-reset-requests": "17ms", + "x-ratelimit-reset-tokens": "34ms", + "X-Request-ID": "55ab2549ddcea967133f7752c95a2429" }, "ResponseBody": { - "id": "chatcmpl-6wKHYefcbJm7Ry8Xnmjf6lfTKfqD1", + "id": "chatcmpl-7b9u0R2WjzfkdqeFMQEX5TMYmQlTu", "object": "chat.completion", - "created": 1679359008, - "model": "gpt-3.5-turbo-0301", + "created": 1689090556, + "model": "gpt-3.5-turbo-0613", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "The optimal temperature for baking pizza typically ranges from 450\u00B0F to 500\u00B0F (230\u00B0C to 260\u00B0C). 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What do you need help with?" + }, + { + "role": "user", + "content": "What temperature should I bake pizza at?" + } + ], + "model": "gpt-3.5-turbo" + }, + "StatusCode": 200, + "ResponseHeaders": { + "Access-Control-Allow-Origin": "*", + "Alt-Svc": "h3=\u0022:443\u0022", + "Cache-Control": "must-revalidate, no-cache", + "CF-Cache-Status": "DYNAMIC", + "CF-RAY": "7e5232107937c388-SEA", + "Connection": "keep-alive", + "Content-Type": "application/json", + "Date": "Tue, 11 Jul 2023 15:49:18 GMT", + "openai-model": "gpt-3.5-turbo-0613", + "openai-organization": "msft-finetuning-2", + "openai-processing-ms": "1285", + "openai-version": "2020-10-01", + "Server": "cloudflare", + "Strict-Transport-Security": "max-age=15724800; includeSubDomains", + "Transfer-Encoding": "chunked", + "x-ratelimit-limit-requests": "3500", + "x-ratelimit-limit-tokens": "90000", + "x-ratelimit-remaining-requests": "3499", + "x-ratelimit-remaining-tokens": "89949", + "x-ratelimit-reset-requests": "17ms", + "x-ratelimit-reset-tokens": "34ms", + "X-Request-ID": "9489cc1181cff1bfe82097a23ce92f60" + }, + "ResponseBody": { + "id": "chatcmpl-7b9u10Or0WnqGBWwgOL9OO2n9Ucdh", + "object": "chat.completion", + "created": 1689090557, + "model": "gpt-3.5-turbo-0613", "choices": [ { + "index": 0, "message": { "role": "assistant", - "content": "It depends on your pizza recipe and the type of oven you have, but a general rule of thumb for baking pizza is to preheat your oven to 450-500 degrees Fahrenheit (230-260 degrees Celsius) and bake the pizza for 10-12 minutes. Of course, you should always follow the instructions from your particular pizza recipe for the best results!" + "content": "The recommended temperature for baking pizza varies, but a common range is between 425\u00B0F (218\u00B0C) and 475\u00B0F (246\u00B0C). However, it\u0027s always a good idea to follow the instructions provided with the specific pizza you are making, as some recipes or store-bought pizzas may have different recommended baking temperatures and times. 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Here are a few methods:\n\n1. Roasting:\n - Preheat your oven to 400\u00B0F (200\u00B0C).\n - Slice the bell pepper into halves or quarters and remove the seeds and membranes.\n - Place the pepper pieces on a baking sheet, drizzle with olive oil, and season with salt and pepper.\n - Roast in the oven for about 20-25 minutes until the skin starts to blister and char.\n - Remove from the oven and let the bell pepper cool slightly before serving or using in recipes.\n\n2. Saut\u00E9ing:\n - Heat a skillet or frying pan over medium heat and add some cooking oil (olive oil or any other oil of your choice).\n - Slice the bell pepper into strips or cubes, removing the seeds and membranes.\n - Add the sliced bell pepper to the preheated skillet and saut\u00E9 for about 5-7 minutes until they become crisp-tender. Stir occasionally to ensure even cooking.\n - Season with salt, pepper, or any other desired seasoning towards the end of cooking.\n - Transfer the saut\u00E9ed peppers to a serving dish or use them in various recipes.\n\n3. Grilling:\n - Preheat your grill to medium-high heat.\n - Cut the bell pepper into halves or quarters, remove the seeds and membranes.\n - Brush the peppers with olive oil and season with salt and pepper.\n - Place the bell pepper pieces on the grill and cook for about 4-5 minutes per side, until you get nice grill marks and the peppers are slightly softened.\n - Remove from the grill and let them cool slightly before serving.\n\nThese methods will cook the peppers while adding a delicious flavor and texture. You can then enjoy the cooked bell pepper on its own, as a side dish, in salads, sandwiches, pasta, or in various recipes." + }, + "finish_reason": "stop" + } + ], + "usage": { + "prompt_tokens": 15, + "completion_tokens": 391, + "total_tokens": 406 + } + } + }, + { + "RequestUri": "https://api.openai.com/v1/chat/completions", + "RequestMethod": "POST", + "RequestHeaders": { + "Accept": "application/json", + "Authorization": "Sanitized", + "Content-Length": "95", + "Content-Type": "application/json", + "traceparent": "00-98b5e268c65e12b09dba9ff53a5f50dd-94fda4003853acd4-00", + "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230711.1 (.NET 6.0.18; Microsoft Windows 10.0.22621)", + "x-ms-client-request-id": "07b544b584d510df04c4bf8a1cd16e92", + "x-ms-return-client-request-id": "true" + }, + "RequestBody": { + "messages": [ + { + "role": "user", + "content": "How do I cook a bell pepper?" + } + ], + "model": "gpt-3.5-turbo" + }, + "StatusCode": 200, + "ResponseHeaders": { + "Access-Control-Allow-Origin": "*", + "Alt-Svc": "h3=\u0022:443\u0022", + "Cache-Control": "must-revalidate, no-cache", + "CF-Cache-Status": "DYNAMIC", + "CF-RAY": "7e53b40eeb5bec64-SEA", + "Connection": "keep-alive", + "Content-Type": "application/json", + "Date": "Tue, 11 Jul 2023 20:12:54 GMT", + "openai-model": "gpt-3.5-turbo-0613", + "openai-organization": "microsoft", + "openai-processing-ms": "6695", + "openai-version": "2020-10-01", + "Server": "cloudflare", + "Strict-Transport-Security": "max-age=15724800; includeSubDomains", + "Transfer-Encoding": "chunked", + "x-ratelimit-limit-requests": "3500", + "x-ratelimit-limit-tokens": "90000", + "x-ratelimit-remaining-requests": "3499", + "x-ratelimit-remaining-tokens": "6892", + "x-ratelimit-reset-requests": "17ms", + "x-ratelimit-reset-tokens": "55.405s", + "X-Request-ID": "ee9ddc6321e2d14d78b7a593a32cc1f2" + }, + "ResponseBody": { + "id": "chatcmpl-7bE124tzzYlpvL5XUNjbMT8OGVEA6", + "object": "chat.completion", + "created": 1689106368, + "model": "gpt-3.5-turbo-0613", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "To cook a bell pepper, you have several options:\n\n1. Roasting: Preheat your oven to 450\u00B0F (230\u00B0C). Cut the bell pepper in half and remove the stem, seeds, and white membrane. Place the halves on a baking sheet, skin side up. Roast for about 20-25 minutes, or until the skin is charred and blistered. Remove from the oven and let cool for a few minutes. Peel off the skin and use the roasted bell pepper in your desired recipe.\n\n2. Saut\u00E9ing: Slice the bell pepper into thin strips or dice it. Heat a tablespoon of oil in a pan over medium heat. Add the sliced or diced pepper and cook for about 5-7 minutes, or until the pepper softens and slightly caramelizes. You can cook it alone or with other vegetables or proteins.\n\n3. Grilling: Preheat your grill to medium-high heat. Cut the bell pepper in half, remove the stem, seeds, and white membrane. Brush the cut sides with some oil. Place the pepper halves directly on the grill grate, cut side down. Grill for about 5-7 minutes until the skin is charred and the flesh is soft. Remove from the grill and let cool for a few minutes. Peel off the skin and use the grilled bell pepper as desired.\n\n4. Stuffing: Cut the bell pepper in half and remove the stem, seeds, and white membrane. Fill the halves with your desired stuffing, such as rice and ground meat or quinoa and vegetables. Place the stuffed peppers in a baking dish and bake at 375\u00B0F (190\u00B0C) for about 30-35 minutes or until the filling is cooked through and the pepper is tender.\n\nRemember to season the bell pepper to taste with salt, pepper, and any desired herbs or spices." + }, + "finish_reason": "stop" + } + ], + "usage": { + "prompt_tokens": 15, + "completion_tokens": 371, + "total_tokens": 386 + } + } + } + ], + "Variables": { + "AZURE_AUTHORITY_HOST": "https://login.microsoftonline.com", + "CHAT_COMPLETIONS_DEPLOYMENT_NAME": "gpt-35-turbo", + "COMPLETIONS_DEPLOYMENT_NAME": "text-davinci-002", + "EMBEDDINGS_DEPLOYMENT_NAME": "text-embedding-ada-002", + "OPENAI_ENDPOINT": "https://sdk8428.openai.azure.com/", + "RandomSeed": "1491335268", + "SUBSCRIPTION_ID": "e72e5254-f265-4e95-9bd2-9ee8e7329051" + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/ChatCompletionsContentFilterCategories(NonAzure)Async.json b/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/ChatCompletionsContentFilterCategories(NonAzure)Async.json new file mode 100644 index 0000000000000..383a54bd1f2d0 --- /dev/null +++ b/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/ChatCompletionsContentFilterCategories(NonAzure)Async.json @@ -0,0 +1,149 @@ +{ + "Entries": [ + { + "RequestUri": "https://api.openai.com/v1/chat/completions", + "RequestMethod": "POST", + "RequestHeaders": { + "Accept": "application/json", + "Authorization": "Sanitized", + "Content-Length": "95", + "Content-Type": "application/json", + "traceparent": "00-e6c33be1ad16984ee3933179630a202a-82cc7cc4cf387535-00", + "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230711.1 (.NET 6.0.18; Microsoft Windows 10.0.22621)", + "x-ms-client-request-id": "2060e4d61824d35ed6cfa8d212227a13", + "x-ms-return-client-request-id": "true" + }, + "RequestBody": { + "messages": [ + { + "role": "user", + "content": "How do I cook a bell pepper?" + } + ], + "model": "gpt-3.5-turbo" + }, + "StatusCode": 200, + "ResponseHeaders": { + "Access-Control-Allow-Origin": "*", + "Alt-Svc": "h3=\u0022:443\u0022", + "Cache-Control": "must-revalidate, no-cache", + "CF-Cache-Status": "DYNAMIC", + "CF-RAY": "7e53b6650b8c2807-SEA", + "Connection": "keep-alive", + "Content-Type": "application/json", + "Date": "Tue, 11 Jul 2023 20:14:30 GMT", + "openai-model": "gpt-3.5-turbo-0613", + "openai-organization": "microsoft", + "openai-processing-ms": "6772", + "openai-version": "2020-10-01", + "Server": "cloudflare", + "Strict-Transport-Security": "max-age=15724800; includeSubDomains", + "Transfer-Encoding": "chunked", + "x-ratelimit-limit-requests": "3500", + "x-ratelimit-limit-tokens": "90000", + "x-ratelimit-remaining-requests": "3498", + "x-ratelimit-remaining-tokens": "3541", + "x-ratelimit-reset-requests": "26ms", + "x-ratelimit-reset-tokens": "57.638s", + "X-Request-ID": "281ce14f21fc547f77afb0b774d77fd6" + }, + "ResponseBody": { + "id": "chatcmpl-7bE2ZTFcxia9kzgFBuRBPTPKou7Ej", + "object": "chat.completion", + "created": 1689106463, + "model": "gpt-3.5-turbo-0613", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "There are several ways to cook a bell pepper, depending on your desired outcome. Here are a few simple methods:\n\n1. Roasting: Preheat the oven to 400\u00B0F (200\u00B0C). Cut the pepper in half, remove the stem, seeds, and white pith. Place the halves on a baking sheet, skin side up, and lightly brush them with oil. Roast for about 20-25 minutes until the skin becomes charred and blistered. Remove from the oven and let cool. You can then peel off the skin and use the roasted pepper in various dishes, like salads, sandwiches, or as a side.\n\n2. Saut\u00E9ing: Slice the bell pepper into thin strips or small pieces, removing the stem, seeds, and white pith. Heat some oil or butter in a skillet over medium-high heat. Add the sliced pepper and cook for 5-7 minutes, stirring occasionally, until the peppers become tender and lightly browned. You can season them with salt, pepper, and other spices, according to your taste.\n\n3. Grilling: Cut the bell pepper in half, remove the stem, seeds, and white pith. Brush the pepper halves with oil and sprinkle them with salt and pepper. Preheat the grill to medium-high heat and place the pepper halves directly on the grates. Grill for 5-7 minutes per side, until they are charred and softened. Remove from the grill, let cool slightly, and you can chop them for use in salads, dips, or as a grilled side dish.\n\nRemember to adjust the cooking times depending on the size and thickness of your bell peppers. Additionally, you can stuff bell peppers, use them in stir-fries, or incorporate them into various recipes based on your preferences." + }, + "finish_reason": "stop" + } + ], + "usage": { + "prompt_tokens": 15, + "completion_tokens": 359, + "total_tokens": 374 + } + } + }, + { + "RequestUri": "https://api.openai.com/v1/chat/completions", + "RequestMethod": "POST", + "RequestHeaders": { + "Accept": "application/json", + "Authorization": "Sanitized", + "Content-Length": "95", + "Content-Type": "application/json", + "traceparent": "00-e6c33be1ad16984ee3933179630a202a-82cc7cc4cf387535-00", + "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230711.1 (.NET 6.0.18; Microsoft Windows 10.0.22621)", + "x-ms-client-request-id": "2060e4d61824d35ed6cfa8d212227a13", + "x-ms-return-client-request-id": "true" + }, + "RequestBody": { + "messages": [ + { + "role": "user", + "content": "How do I cook a bell pepper?" + } + ], + "model": "gpt-3.5-turbo" + }, + "StatusCode": 200, + "ResponseHeaders": { + "Access-Control-Allow-Origin": "*", + "Alt-Svc": "h3=\u0022:443\u0022", + "Cache-Control": "must-revalidate, no-cache", + "CF-Cache-Status": "DYNAMIC", + "CF-RAY": "7e53b690a8832807-SEA", + "Connection": "keep-alive", + "Content-Type": "application/json", + "Date": "Tue, 11 Jul 2023 20:14:39 GMT", + "openai-model": "gpt-3.5-turbo-0613", + "openai-organization": "microsoft", + "openai-processing-ms": "8781", + "openai-version": "2020-10-01", + "Server": "cloudflare", + "Strict-Transport-Security": "max-age=15724800; includeSubDomains", + "Transfer-Encoding": "chunked", + "x-ratelimit-limit-requests": "3500", + "x-ratelimit-limit-tokens": "90000", + "x-ratelimit-remaining-requests": "3499", + "x-ratelimit-remaining-tokens": "2314", + "x-ratelimit-reset-requests": "17ms", + "x-ratelimit-reset-tokens": "58.456s", + "X-Request-ID": "06d6913182e7b1dda3bd2a9190dd216c" + }, + "ResponseBody": { + "id": "chatcmpl-7bE2gj4FIc7qnwLSEmHfeGMHoftbi", + "object": "chat.completion", + "created": 1689106470, + "model": "gpt-3.5-turbo-0613", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "Cooking a bell pepper is relatively simple and there are various methods to choose from. Here\u0027s a basic guide on how to cook a bell pepper:\n\n1. Choose your bell pepper: Select a ripe bell pepper with a vibrant color and firm texture. Green, red, yellow, or orange bell peppers are commonly used in cooking.\n\n2. Wash and prep: Wash the bell pepper thoroughly under running water, then pat it dry. Remove the stem and seeds by cutting off the top and scooping out the inner membrane and seeds.\n\n3. Roasting: Preheat your oven to 400\u00B0F (200\u00B0C). Place the bell pepper(s) on a baking sheet or directly on the oven rack. Roast them for about 20-25 minutes, turning them occasionally, until the skin is blistered and charred. Remove from the oven and let cool before peeling off the skin.\n\n4. Saut\u00E9ing: Heat a tablespoon of oil (olive oil, vegetable oil, etc.) in a skillet over medium heat. Cut the bell pepper into thin slices or small chunks. Add the sliced or chopped pepper to the skillet and saut\u00E9 for about 5-7 minutes until it becomes tender and lightly caramelized.\n\n5. Grilling: Preheat the grill to medium-high heat. Slice the bell pepper into thick strips or keep it whole. Brush or spray the pepper with oil to prevent sticking. Grill the bell pepper for 3-5 minutes per side, until it becomes charred and slightly softened.\n\n6. Stuffing: Cut off the top of the bell pepper and remove the seeds and membrane. Precook any fillings you desire (e.g., rice, ground meat, vegetables) and stuff them into the cavity of the pepper. Bake the stuffed pepper in a preheated oven at 375\u00B0F (190\u00B0C) for about 25-30 minutes or until the pepper is tender and the filling is cooked through.\n\nRemember, the cooking time and method might vary depending on your personal preference and the recipe you\u0027re following. Enjoy your cooked bell pepper in various dishes such as salads, stir-fries, fajitas, sandwiches, or as a side dish!" + }, + "finish_reason": "stop" + } + ], + "usage": { + "prompt_tokens": 15, + "completion_tokens": 441, + "total_tokens": 456 + } + } + } + ], + "Variables": { + "CHAT_COMPLETIONS_DEPLOYMENT_NAME": "text-embedding-ada-002", + "COMPLETIONS_DEPLOYMENT_NAME": "text-davinci-002", + "EMBEDDINGS_DEPLOYMENT_NAME": "gpt-35-turbo", + "OPENAI_ENDPOINT": "https://sdk8428.openai.azure.com/", + "RandomSeed": "90602014" + } +} diff --git a/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/Completions(Azure).json b/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/Completions(Azure).json index e9d8e189271db..1008f0bd19bf6 100644 --- a/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/Completions(Azure).json +++ b/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/Completions(Azure).json @@ -1,16 +1,16 @@ { "Entries": [ { - "RequestUri": "https://sdk8428.openai.azure.com/openai/deployments/text-davinci-002/completions?api-version=2023-03-15-preview", + "RequestUri": "https://sdk8428.openai.azure.com/openai/deployments/text-davinci-002/completions?api-version=2023-07-01-preview", "RequestMethod": "POST", "RequestHeaders": { "Accept": "application/json", "api-key": "***********", "Content-Length": "61", "Content-Type": "application/json", - "traceparent": "00-9ecfbad6b43c9c0956214c8329786986-3cfed326a919cff2-00", - "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230320.1 (.NET 7.0.4; Microsoft Windows 10.0.25300)", - "x-ms-client-request-id": "3aefcb26bcb8b34e3213b034b2621dc8", + "traceparent": "00-57f0b9e8d0976f6b30a8327bbd337705-d8c68f85317fe28d-00", + "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230710.1 (.NET 6.0.18; Microsoft Windows 10.0.25393)", + "x-ms-client-request-id": "43e66505f0b314ddaa604d6fc67981a2", "x-ms-return-client-request-id": "true" }, "RequestBody": { @@ -22,52 +22,54 @@ "StatusCode": 200, "ResponseHeaders": { "Access-Control-Allow-Origin": "*", - "apim-request-id": "84c7bc8f-06b9-41c9-98fe-8fec72f11168", + "apim-request-id": "3eac8541-64be-4930-ae31-9ddbd5133ee2", "Cache-Control": "must-revalidate, no-cache", - "Content-Length": "411", + "Content-Length": "451", "Content-Type": "application/json", - "Date": "Tue, 21 Mar 2023 00:43:18 GMT", - "openai-model": "text-davinci-002", - "openai-processing-ms": "2292.1683", + "Date": "Tue, 11 Jul 2023 15:53:08 GMT", + "Openai-Model": "text-davinci-002", + "Openai-Processing-Ms": "361.3362", "Strict-Transport-Security": "max-age=31536000; includeSubDomains; preload", - "x-accel-buffering": "no", + "X-Accel-Buffering": "no", "X-Content-Type-Options": "nosniff", - "x-ms-client-request-id": "3aefcb26bcb8b34e3213b034b2621dc8", + "X-Ms-Client-Request-Id": "43e66505f0b314ddaa604d6fc67981a2", "x-ms-region": "East US", - "X-Request-ID": "a33ab0fb-6569-48c3-85be-50722dd1044d" + "X-Request-ID": "7497e250-8d36-46d2-a7f6-f9726de97153" }, "ResponseBody": { - "id": "cmpl-6wKNpWoumhW2GZblu8XcHUFAGIFcX", + "id": "cmpl-7b9xkhOFn5iLibjdPrwloWgGNBPFO", "object": "text_completion", - "created": 1679359397, + "created": 1689090788, "model": "text-davinci-002", "choices": [ { - "text": " 127!\n", + "text": "\u0027);\n\n/*\nAn error object always has two special properties: name and", "index": 0, - "finish_reason": "stop", + "finish_reason": "length", "logprobs": null }, { - "text": " and turning a deaf ear to requests to wind things up. 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"index": 3, - "finish_reason": "stop", - "logprobs": { - "tokens": [ - "\n", - "\n", - "This", - " is", - " a", - " test", - ".", - "\u003C|endoftext|\u003E" - ], - "token_logprobs": [ - -1.914483, - -0.06679508, - -0.03641641, - -0.010113746, - -0.11760678, - -0.0029126701, - -0.22396758, - -0.0009651197 - ], - "top_logprobs": [ - { - ".\u0022)": -0.88256145 - }, - { - "\n": -0.06679508 - }, - { - "This": -0.03641641 - }, - { - " is": -0.010113746 - }, - { - " a": -0.11760678 - }, - { - " test": -0.0029126701 - }, - { - ".": -0.22396758 - }, - { - "\u003C|endoftext|\u003E": -0.0009651197 - } - ], - "text_offset": [ - 14, - 15, - 16, - 20, - 23, - 25, - 30, - 31 - ] - } - }, - { - "text": ".\u0022)\nprint(first_key)\n\u0060\u0060\u0060\n\n\u0060\u0060\u0060python\n\u003E\u003E\u003E This \n\u0060\u0060\u0060\n\n\u0060\u0060\u0060python\n\u003E\u003E\u003E This \n\u0060\u0060\u0060\n\n\u0060\u0060\u0060python\n\u003E\u003E\u003E \n\u003E\u003E\u003E first_key = get_first_key(\u0022\u0022)\n\u003E\u003E\u003E print(first_key)\n\u0060\u0060\u0060\n\n\n\n## = assign value\n\n\u0060\u0060\u0060python\na = 21\nb = 10\nc = a\u002Bb\nprint(c)\n\u0060\u0060\u0060\n\n\n\n## ** \u5E42\u8FD0\u7B97\n\n\u0060\u0060\u0060python\nwidth = 2.0\nheight = 5.0\narea = width * height\npower = width ** 2\nprint(area)\nprint(power)\n\u0060\u0060\u0060\n\n\n\n## // \u6574\u6570\u9664\u6CD5\n\n\u0060\u0060\u0060python\na = 7 // 3\nb = 7 % 3\nprint(a)\nprint(b)\n\u0060\u0060\u0060\n\n\n\n## \u6253\u5370\u683C\u5F0F\n\n### %\n\n\u0060\u0060\u0060python\nprint(\u0022%5d-%02d\u0022 % (2015, 1))\n\u0060\u0060\u0060\n\u6574\u6570\u7684\u003C,\u003E\u8868\u793A\u5E26\u5BBD\u5EA6\u7684\u503C\uFF0C2\u8868\u793A\u4E0D\u8DB3\u4E24\u4F4D\u7684\u503C\u524D\u9762\u88650\n\n### .format\n\n\u0060\u0060\u0060python\nprint(\u0022{0}\u5E74{1}\u6708{2}\u65E5\u0022.format(2019, 8, 9))\n\u0060\u0060\u0060\n\n\n\n## \u5404\u6570\u636E\u7C7B\u578B\u957F\u5EA6\n\n* \u5E03\u5C14\n* \u6574\u6570\n* \u5B57\u7B26\u4E32\n* \u5143\u7EC4\n\n\n\n## bool(x)\n\n\u5982\u679C x \u4E3A false\uFF0C\u5219\u8FD4\u56DE False\uFF0C\u5426\u5219\u8FD4\u56DE True\u3002\n\n\u4E00\u822C\u6765\u8BB2\uFF0Cbool(x) \u53EF\u4EE5\u7528\u6765\u68C0\u67E5 x \u662F\u5426\u4E3A\u771F\u503C\u3002\n\nbool \u975E 0 \u5373 True\uFF0Cbool 0 \u5373 False\u3002\n\n\u0060\u0060\u0060python\nprint(bool(1))\nprint(bool(0))\nprint(bool(5))\nprint(bool(-2))\nprint(bool(4.5))\nprint(bool(0.0))\n\u0060\u0060\u0060\n\n\u0060\u0060\u0060python\nprint(bool(None))\nprint(bool(\u0027\u0027))\nprint(bool(\u0027\u0027\u0027\n\u0027\u0027\u0027))\nprint(bool([]))\nprint(bool({}))\nprint(bool(()))\n\u0060\u0060\u0060\n\n\u0060\u0060\u0060python\nprint(bool(range(1)))\nprint(bool({\u0027a\u0027:\u0027b\u0027, \u0027c\u0027:\u0027d\u0027}))\n\u0060\u0060\u0060\n\n\n\n## all(x)\n\n\u5982\u679C x \u6240\u6709\u5143\u7D20\u4E3A\u771F\uFF0C\u5219\u8FD4\u56DE True\u3002\n\n\u5982\u679C x \u6CA1\u6709\u5143\u7D20\uFF0C\u6216\u8005\u6240\u6709\u5143\u7D20\u4E3A\u5047\uFF0C\u5219\u8FD4\u56DE False\u3002\n\n\u0060\u0060\u0060python\nl1 = [1,2,\u0027a\u0027]\nprint(all(l1))\nl2 = [1,2,0]\nprint(all(l2))\nl3 = []\nprint(all(l3))\nl4 = [1]\nprint(all(l4))\n\u0060\u0060\u0060\n\n## any(x)\n\n\u5982\u679C x \u6240\u6709\u5143\u7D20\u4E3A\u5047\uFF0C\u5219\u8FD4\u56DE False\u3002\n\n\u5982\u679C x \u6CA1\u6709\u5143\u7D20\uFF0C\u5219\u8FD4\u56DE False\u3002\n\n\u5982\u679C x \u6709\u4E00\u4E2A\u6216\u4EE5\u4E0A\u5143\u7D20\u4E3A\u771F\uFF0C\u5219\u8FD4\u56DE True\u3002\n\n\u0060\u0060\u0060python\nprint(any([0, 0.0,\u0027\u0027]))\nprint(any([\u0027\u0027,\u0027\u0027,\u0027a\u0027]))\nprint(any([\u0027\u0027,\u0027\u0027,\u00270\u0027]))\nprint(any([0, 0.0,\u0027a\u0027]))\nprint(any([]))\nprint(any([\u0027\u0027,\u0027\u0027,\u0027\u0027, 0, 0.0]))\n\u0060\u0060\u0060\n\n## an\n\n\u5982\u679C x \u4E3A false\uFF0C\u5219\u8FD4\u56DE False", - 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b/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/CompletionsUsageField(NonAzure).json index 7de9fe19b6858..9573dd3eafdff 100644 --- a/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/CompletionsUsageField(NonAzure).json +++ b/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/CompletionsUsageField(NonAzure).json @@ -8,9 +8,9 @@ "Authorization": "Sanitized", "Content-Length": "107", "Content-Type": "application/json", - "traceparent": "00-e7becd4e87f499620b2bf2d5e6aef51a-02c08d3028d388ff-00", - "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230320.1 (.NET 7.0.4; Microsoft Windows 10.0.25300)", - "x-ms-client-request-id": "1fcf08d78fc4b1cc3a84dafcc388d3f1", + "traceparent": "00-3cd6c0cd5434173c620e4eb3599af938-320e7dea8397a0a8-00", + "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230710.1 (.NET 6.0.18; Microsoft Windows 10.0.25393)", + "x-ms-client-request-id": "3c73d9bf0a7e4501ef03d58138d3992f", "x-ms-return-client-request-id": "true" }, "RequestBody": { @@ -26,14604 +26,6028 @@ "StatusCode": 200, "ResponseHeaders": { "Access-Control-Allow-Origin": "*", + "Alt-Svc": "h3=\u0022:443\u0022", "Cache-Control": "must-revalidate, no-cache", + "CF-Cache-Status": "DYNAMIC", + "CF-RAY": "7e52313608eec388-SEA", "Connection": "keep-alive", + "Content-Length": "47616", "Content-Type": "application/json", - "Date": "Tue, 21 Mar 2023 00:36:28 GMT", - "Openai-Model": "text-davinci-002", - "Openai-Organization": "msft-finetuning-2", - "Openai-Processing-Ms": "23906", - "Openai-Version": "2020-10-01", + "Date": "Tue, 11 Jul 2023 15:48:46 GMT", + "openai-model": "text-davinci-002", + "openai-organization": "msft-finetuning-2", + "openai-processing-ms": "4264", + "openai-version": "2020-10-01", + "Server": "cloudflare", "Strict-Transport-Security": "max-age=15724800; includeSubDomains", - "Transfer-Encoding": "chunked", - "X-Ratelimit-Limit-Requests": "3000", - "X-Ratelimit-Limit-Tokens": "250000", - "X-Ratelimit-Remaining-Requests": "2999", - "X-Ratelimit-Remaining-Tokens": "243855", - "X-Ratelimit-Reset-Requests": "20ms", - "X-Ratelimit-Reset-Tokens": "1.474s", - "X-Request-ID": "1bc6c45a30267a684e74e1844ba2356f" + "x-ratelimit-limit-requests": "3000", + "x-ratelimit-limit-tokens": "250000", + "x-ratelimit-remaining-requests": "2999", + "x-ratelimit-remaining-tokens": "243855", + "x-ratelimit-reset-requests": "20ms", + "x-ratelimit-reset-tokens": "1.474s", + "X-Request-ID": "553fa3ef446d9b0971c03d726f2abe19" }, "ResponseBody": { - "id": "cmpl-6wKGqhbC4rpx1go7f8bE2yCXAMnr1", + "id": "cmpl-7b9tS1auGF38S2n3mCG2jKGUwOddF", "object": "text_completion", - "created": 1679358964, + "created": 1689090522, "model": "text-davinci-002", "choices": [ { - "text": "\u0022\n\u003C/code\u003E\nCan anybody see the issue when I run a compare of the hash?\nEdit 1:\nHere is the output, I think the input is correct\n\u003Ccode\u003EPS C:\\Users\\user\u0026gt; openssl version\nOpenSSL 0.9.8y 5 Feb 2013\nPS C:\\Users\\user\u0026gt; openssl dgst -sha1 -out C:\\test.hash -hmac \u00220123456789ABCDEFFEDCBA9876543210\u0022 C:\\alpha2.pdf\nPS C:\\Users\\user\u0026gt; cat c:\\test.hash\n0123456789ABCDEFFEDCBA987654321034f051d2 (stdin)= 21ba283eae7a6a99b6e7e8d9a6dc1ff6f5d89a55\nPS C:\\Users\\user\u0026gt; cat c:\\alpha2.hash\n0123456789ABCDEFFEDCBA98765432101c100af2 (stdin)= a4e99a7d8e9bef1518c21f89794716829695527draw\n\u003C/code\u003E\n\n\nA:\n\nIt looks like you are including \u003Ccode\u003E0123456789ABCDEFFEDCBA9876543210\u003C/code\u003E in your input, and then here:\n\u003Ccode\u003E $bObstructionString = 0x01020304050607080910111213141516.ToByteArray()\n\u003C/code\u003E\nYou are filling a 16-byte buffer with the 20 ASN.1 octets \u003Ccode\u003E0x01 0x02 ... 0x16\u003C/code\u003E. Those cannot be the same, assuming the 20-octet message you\u0027re reference came before this process. It is important that you also include the last octet of your 20-octet text json data (so include 21 octets in all), as recommended in that article.\n", + "text": "!\n\nI am here to learn and share my knowledge with others.", "index": 0, "logprobs": { "tokens": [ - "\u0022", - "\n", - "\u003C/", - "code", - "\u003E", - "\n", - "Can", - " anybody", - " see", - " the", - " issue", - " when", - " I", - " run", - " a", - " compare", - " of", - " the", - " hash", - "?", - "\n", - "Edit", - " 1", - ":", - "\n", - "Here", - " is", - " the", - " output", - ",", - " I", - " think", - " the", - " input", - " is", - " correct", - "\n", - "\u003C", - "code", - "\u003E", - "PS", - " C", - ":\\", - "Users", - "\\", - "user", - "\u0026", - "gt", - ";", - " opens", - "sl", - " version", - "\n", - "Open", - "SSL", - " 0", - ".", - "9", - ".", - "8", - "y", - " 5", - " Feb", - " 2013", - "\n", - "PS", - " C", - ":\\", - "Users", - "\\", - "user", - "\u0026", - "gt", - ";", - " opens", - "sl", - " d", - "g", - 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In that case, you need to locate the next nearest goal delimiter after which to check for thepattern. Since the goal delimiter here is \u003Ccode\u003ENUL\u003C/code\u003E, the next closest would be \u003Ccode\u003Enewline\u003C/code\u003E (whitespace here isn\u0027t a consideration). This can be done quite easily by using \u003Ccode\u003Estrpbrk\u003C/code\u003E (note below the forward declaration of \u003Ccode\u003Esidescope\u003C/code\u003E).\nThis allowed me to get the following:\n\u003Ccode\u003E#include \u0026lt;stdio.h\u0026gt;\n#include \u0026lt;string.h\u0026gt;\n\nchar * sidescope ( char [], char [], char );\n\nint main()\n{\n char *p = NULL, str[] = \u0022This is a test.\\nThis is another test.\\n And another test.\u0022;\n\n if (( p = sidescope ( str, \u0022This is a test.\u0022, \u0027\\0\u0027 )))\n printf( \u0022%s\\n\u0022, p );\n return 0;\n}\n\nchar * sidescope ( char s[], char p[], char delim )\n{\n size_t len = strlen ( p );\n char * start = s;\n char * found = NULL;\n\n if ( len )\n {\n for ( ;found = strstr ( start, p ); start = found \u002B len )\n if ( !delim || *(found \u002B len) == delim || !*(found \u002B len \u002B 1) || (delim == \u0027 \u0027 \u0026amp;\u0026amp; ((found \u002B len \u002B 1) - strpbrk ( found, \u0022\\n\u0022 ))))\n return (found \u002B len);\n }\n return NULL;\n}\n\u003C/code\u003E\n... which gives:\n\u003Ccode\u003EThis is another test.\n And another test.\n\u003C/code\u003E\nas output. The original solution could be modified to mimic the functionality of this answer, but by adding control over what to check for post first pattern match, this code gives the actual result that you seem to be after.\nHere\u0027s a rundown of the function modification:\n\n\u003Ccode\u003E if ( !delim || *(found \u002B len) == delim || !*(found \u002B len \u002B 1) || (delim == \u0027 \u0027 \u0026amp;\u0026amp; ((found \u002B len \u002B 1) - strpbrk ( found, \u0022\\n\u0022 ))))\u003C/code\u003E\n\nNote the Post correct return condition which is:\n\u003Ccode\u003E1) Anything after found until EOL \u0026lt;OR\u0026gt;\u003C/code\u003E\n\u003Ccode\u003E2) Anything after found until the goal delimiter \u0026lt;OR\u0026gt;\u003C/code\u003E\n\u003Ccode\u003E3) Anything already parsed that has only a NUL terminator \u0026lt;OR\u0026gt;\u003C/code\u003E\n\u003Ccode\u003E4) A \u0027 \u0027 character entered as goal delimiter, where there is whitespace \n until the remainder EOL after a pattern match\u003C/code\u003E\nAnything outside of that other than the blank lines shown above would distort the output. Sorry, no inclusion of trailing white spaces since I feel that is a completely different problem. Subbing in other goals and test input will reaffirm what is actually working a lot better than dry reading.\n", - "index": 5, - "logprobs": { - "tokens": [ - ".\u0022)", - "\n", - "\u003C/", - "code", - "\u003E", - "\n", - "\n", - "\u003C", - "code", - "\u003E", - "This", - " is", - " a", - " test", - ".\u003C/", - "code", - "\u003E", - "\n", - "\n", - "In", - " order", - " to", - " capture", - " multiple", - " lines", - " after", - " the", - " first", - ",", - " \u003C", - "code", - "\u003E", - "str", - "str", - "\u003C/", - "code", - "\u003E", - " can", - " be", - " used", - ".", - " In", - " that", - " case", - ",", - " you", - " need", - " to", - " locate", - " the", - " next", - " nearest", - " goal", - " delim", - "iter", - " after", - " which", - " to", - " check", - " for", - " the", - "pattern", - ".", - " Since", - " the", - " goal", - " delim", - "iter", - " here", - " is", - " \u003C", - "code", - "\u003E", - "N", - "UL", - "\u003C/", - "code", - "\u003E,", - " the", - " next", - 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We are excited to have you here.\n\nIn this world, there are many different languages to learn, each with their own syntax and quirks. But don\u0027t worry, with a bit of practice, you will be writing code like a pro in no time.\n\nThere are also many different IDEs (Integrated Development Environments) to choose from depending on your operating system and preferences. Some IDEs are more sophisticated than others, but they all essentially serve the same purpose: to provide a text editor and other tools to help you write and run your code.\n\nSo what are you waiting for? 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=pygame.Surface([10,10])\npl.fill((255,200,0)) #Fills surface with player colour - Currently yellow\npl_res = pl.get_rect(center = (350,300)) #Initialize player spawn location\n\n#Player Velocity\npl_vel = [2,2] #Initialize player initially and per frame\ndef pl_velocity(): #Controls player movement speed\n\tpl_vel[0] = 2*dx #Converts from units of 1 on text to 20\n\tpl_vel[1] = 2*dy\nif space_pressed == True: # space key is pressed, player is saved and can travel twice as fast\n\tpl_vel[0] = 4*dx\n\tpl_vel[1] = 4*dy\n#Player Movement\ndef pl_move(pl_vel): #Function for movement variables\n\tpl_res.left \u002B= pl_vel[0]\n\tpl_res.top \u002B= pl_vel[1]\n\n#Blit game management\nurgentEscape = True\nblitList = [pl]\ndef currentBlits(): #Function to manage which surfaces are being blitted\n\tscreen.blit(pl, pl_res)\n\tpygame.display.flip()\ndef playerEscape(): #Function to blit the necessary components upon player escape\n\tpygame.quit()\n\tsystem(\u0027cls\u0027)\n\tpygame.init()\n\tscreen = pygame.display.set_mode([800,600])\n\tpygame.display.set_caption(\u0027Urgent Escape\u0027)\n\tprint (\u0022\u0022\u0022\\nUrgent Escape\n\t\n\tInstructions:\n\t\n\tUse WASD or the arrow keys to move.\n\tUse spacebar to save and move twice as fast.\n\tUse mouse to click objects around you to solve puzzles.\n\tNow, escape before this place blows up!\n\t\n\tAdvisor\u0027s\\nMessage:\\n\\n\n\t\u0022\u0022\u0022)\n\tprint (\u0022\u0022\u0022\\nTo escape the testing dieties, you need to escape the building. escapes the testing dieties, you need to escape the building. Locate your escape pod by visiting different floors to gather the escape coordinates. Different floors perform different functions, each helping you to become smarter for your escape.\u0022\u0022\u0022)\n\tprint (\u0022\u0022\u0022\\nBay One:\\n\n\t\u0022\u0022\u0022)\n\tprint (\u0022\u0022\u0022\\nLibrary:\\n\n\t\u0022\u0022\u0022)\n\tprint (\u0022\u0022\u0022\\nLaboratory:\\n\n\t\u0022\u0022\u0022)\n\tprint (\u0022\u0022\u0022\\nRecreation Area:\\n\n\t\u0022\u0022\u0022)\n\tprint (\u0022\u0022\u0022\\nCafeteria:\\n\n\t\u0022\u0022\u0022)\n\tprint (\u0022\u0022\u0022\\n Escape Pod:\\n\n\t\u0022\u0022\u0022)\n\tprint (\u0022\u0022\u0022\\nFind your escape pod - before this place goes boom!\\n\n\t\u0022\u0022\u0022)\n\tprint (\u0022\u0022\u0022\\nGood Luck!\\n\n\t\u0022\u0022\u0022)\n\n\n#Bay one variables\na = False\ncount = 65000\ncountSec = 65000\ncountF = 65000\ncountSecF = 65000\ncountT = 65000\ncountTB = 65000\ncountG = 65000\ncountH = 65000\ncountHOP = 65000\nfirstTimer = True\ns = False\ncountHA = 65000\ncountHB = 65000\ncountNA = 65000\ncountNB = 65000\ncountPA = 65000\ncountPB = 65000\ncountLA = 65000\ncountSY = 65000\ncountLFI = 65000\ncountLFJ = 65000\ncountSA = 65000\ncountSC = 65000\ncountSJ = 65000\ncountR = 65000\n\n#Bay one blits\nA = 1\nB = 2\nC = 3\nD = 4\nE = 5\nF = 6\nG = 7\nH = 8\nI = 9\nJ = 10\nK = 11\nY = 11\nL = 12\nM = 13\nO = 15\nP = 16\nQ = 17\nR = 18\nS = 19\nT = 20\nTB = 21\nPaul = 23\nSpoilda = 25\nGun = 26\nH_Arm = 27\nH_Leg = 28\nH_Head = 29\nH_ Core = 30\nH_BAT = 31\nN_Leg = 32\nN_Arm = 33\nM_Leg = 34\nH_Back = 35\nN_Back = 36\nO_Leg = 37\nN_Cor = 38\nN_BAT = 39\nO_BAT = 40\nP_Leg = 41\nO_Cor = 42\n", - "index": 3, - "logprobs": { - "tokens": [ - ".\u0022)", - " #", - "test", - " line", - "\n", - "#", - "test", - " =", - " 1", - "\n", - "#", - "print", - " (", - "test", - ")", + 47, + 49, + 51, + 56, + 57, + 63, + 65, + 66, + 67, + 74, + 76, + 77, + 78, + 79, + 80, + 82, + 86, + 88, + 89, + 90, + 91, + 92, + 95, + 100, + 102, + 103, + 104, + 105, + 106, + 111, + 112, + 113, + 117, + 119, + 122, + 123, + 124, + 125, + 127, + 128, + 133, + 134, + 135, + 140, + 142, + 147, + 148, + 151, + 153, + 154, + 155, + 162, + 164, + 165, + 166, + 167, + 169, + 171, + 172, + 174, + 175, + 176, + 177, + 179, + 181, + 184, + 185, + 188, + 189, + 194, + 196, + 198, + 199 + ] + }, + "finish_reason": "stop" + }, + { + "text": "!\u0027); var_dump(long2ip(crc32(\u0027salt\u0027))); ?\u003E\n\nExpectedoutput:\n\nstring \u0027Hello world!\u0027 (length=12) string \u002738.116.215.188\u0027 (length=15)\n\nActual output:\n\nstring \u0027Hello world!\u0027 (length=12) NULL\n\nSo I have a quick workaround for now, this solution:\n\n$hexSalt = dechex(crc32(\u0027salt\u0027)); var_dump(long2ip(hexdec($hexSalt )));\n\nThe output is expected:\n\nstring \u002738.116.215.188\u0027 (length=15)\n\nIt\u0027s not very efficient, but I\u0027m wondering about the reason. I\u0027ve stayed tuned to the documentation about CRC32 here:\n\nhttp://php.net/manual/function.crc32.php\n\nThey don\u0027t already warn about this action, but on the documentation about the php-module libstdc\u002B\u002B they warn about this:\n\n\u201CAs stated underneath 64-bit compilations, the only guarantee libstdc\u002B\u002B48 makes for types larger than int is that types larger than int will be larger than int. 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closestShape = shape\n\n if closestShape is not None:\n img[i][j] = closestShape.color\n else:\n img[i][j] = np.array([0, 0, 0])\n\nplt.imshow(img, cmap = plt.cm.binary)", + "index": 5, + "logprobs": { + "tokens": [ + ".\u0022)", + "\n", + "from", + " mat", + "plot", + "lib", + " import", + " py", + "plot", + " as", + " pl", "t", - "Bytes", - ")", "\n", - "-", - "\t", - "\t", - "\t", - "return", - " nil", - ",", - " errors", - ".", - "New", - "(\u0022", - "Error", - " converting", - " chain", - "code", - " state", - " to", - " bytes", - "\u0022)", + "import", + " n", + "umpy", + " as", + " np", "\n", - "-", - "\t", - "\t", - "}", + "import", + " c", + "v", + "2", "\n", - "-", - "\t", - "\t", - "if", - " err", - " :=", - " stub", + "img", + " =", + " c", + "v", + "2", ".", - "Put", - "State", + "im", + "read", "(\u0022", - "foo", - "\u0022,", - " t", - "Bytes", - ");", - " err", - " !=", - " nil", - " {", - "\n", - "-", - "\t", - "\t", - "\t", - "return", - " nil", - ",", - " err", - 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a/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/TokenCutoff(NonAzure)Async.json +++ b/sdk/openai/Azure.AI.OpenAI/tests/SessionRecords/OpenAIInferenceTests/TokenCutoff(NonAzure)Async.json @@ -8,9 +8,9 @@ "Authorization": "Sanitized", "Content-Length": "146", "Content-Type": "application/json", - "traceparent": "00-aa88fb8cbd45c0bbcd46d477e177ae95-b9d44aa27354bdc2-00", - "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230320.1 (.NET 7.0.4; Microsoft Windows 10.0.25300)", - "x-ms-client-request-id": "11979c8a857b06bdb966b866570d7e4a", + "traceparent": "00-dd461de7a99ba447e93127a32e2e72cd-713d7d52466c8b2f-00", + "User-Agent": "azsdk-net-AI.OpenAI/1.0.0-alpha.20230710.1 (.NET 6.0.18; Microsoft Windows 10.0.25393)", + "x-ms-client-request-id": "fbc07c89cb780e16e709ceca25bb09b0", "x-ms-return-client-request-id": "true" }, "RequestBody": { @@ -23,32 +23,101 @@ "StatusCode": 200, "ResponseHeaders": { "Access-Control-Allow-Origin": "*", + "Alt-Svc": "h3=\u0022:443\u0022", 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"OPENAI_ENDPOINT": "https://sdk8428.openai.azure.com/", - "RandomSeed": "1990976048" + "RandomSeed": "257508099" } } diff --git a/sdk/openai/Azure.AI.OpenAI/tsp-location.yaml b/sdk/openai/Azure.AI.OpenAI/tsp-location.yaml index 92ca017d7149f..ef12b4b68804b 100644 --- a/sdk/openai/Azure.AI.OpenAI/tsp-location.yaml +++ b/sdk/openai/Azure.AI.OpenAI/tsp-location.yaml @@ -1,3 +1,3 @@ directory: specification/cognitiveservices/OpenAI.Inference -commit: 6af0ff9b1a10e4d498699eab53cc1e6b797bda8c +commit: 6bad11503a1ebb3305c676b13bf3106d28b321f6 repo: Azure/azure-rest-api-specs