Fix a few issues in IChatClient implementations (#5549)

* Fix a few issues in IChatClient implementations

- Avoid null arg exception when constructing system message with null text
- Avoid empty exception when constructing user message with no parts
- Use all parts rather than just first text part for system message
- Handle assistant messages with both content and tools
- Avoid unnecessarily trying to weed out duplicate call ids

* Address PR feedback

- Normalize null to string.Empty in TextContent
- Ensure GetContentParts always produces at least one part, even if empty text content

src/Libraries/Microsoft.Extensions.AI.Abstractions/Contents/TextContent.cs

@@ -1,27 +1,36 @@
 // Licensed to the .NET Foundation under one or more agreements.
 // The .NET Foundation licenses this file to you under the MIT license.
 
+using System.Diagnostics.CodeAnalysis;
+
 namespace Microsoft.Extensions.AI;
 
 /// <summary>
 /// Represents text content in a chat.
 /// </summary>
 public sealed class TextContent : AIContent
 {
+    private string? _text;
+
     /// <summary>
     /// Initializes a new instance of the <see cref="TextContent"/> class.
     /// </summary>
     /// <param name="text">The text content.</param>
     public TextContent(string? text)
     {
-        Text = text;
+        _text = text;
     }
 
     /// <summary>
     /// Gets or sets the text content.
     /// </summary>
-    public string? Text { get; set; }
+    [AllowNull]
+    public string Text
+    {
+        get => _text ?? string.Empty;
+        set => _text = value;
+    }
 
     /// <inheritdoc/>
-    public override string ToString() => Text ?? string.Empty;
+    public override string ToString() => Text;
 }

src/Libraries/Microsoft.Extensions.AI.AzureAIInference/AzureAIInferenceChatClient.cs

@@ -3,7 +3,6 @@
 
 using System;
 using System.Collections.Generic;
-using System.Linq;
 using System.Reflection;
 using System.Runtime.CompilerServices;
 using System.Text;
@@ -410,13 +409,13 @@ private sealed class AzureAIChatToolJson
     private IEnumerable<ChatRequestMessage> ToAzureAIInferenceChatMessages(IEnumerable<ChatMessage> inputs)
     {
         // Maps all of the M.E.AI types to the corresponding AzureAI types.
-        // Unrecognized content is ignored.
+        // Unrecognized or non-processable content is ignored.
 
         foreach (ChatMessage input in inputs)
         {
             if (input.Role == ChatRole.System)
             {
-                yield return new ChatRequestSystemMessage(input.Text);
+                yield return new ChatRequestSystemMessage(input.Text ?? string.Empty);
             }
             else if (input.Role == ChatRole.Tool)
             {
@@ -444,52 +443,64 @@ private IEnumerable<ChatRequestMessage> ToAzureAIInferenceChatMessages(IEnumerab
             }
             else if (input.Role == ChatRole.User)
             {
-                yield return new ChatRequestUserMessage(input.Contents.Select(static (AIContent item) => item switch
-                {
-                    TextContent textContent => new ChatMessageTextContentItem(textContent.Text),
-                    ImageContent imageContent => imageContent.Data is { IsEmpty: false } data ? new ChatMessageImageContentItem(BinaryData.FromBytes(data), imageContent.MediaType) :
-                                                 imageContent.Uri is string uri ? new ChatMessageImageContentItem(new Uri(uri)) :
-                                                 (ChatMessageContentItem?)null,
-                    _ => null,
-                }).Where(c => c is not null));
+                yield return new ChatRequestUserMessage(GetContentParts(input.Contents));
             }
             else if (input.Role == ChatRole.Assistant)
             {
-                Dictionary<string, ChatCompletionsToolCall>? toolCalls = null;
+                // TODO: ChatRequestAssistantMessage only enables text content currently.
+                // Update it with other content types when it supports that.
+                ChatRequestAssistantMessage message = new()
+                {
+                    Content = input.Text
+                };
 
                 foreach (var content in input.Contents)
                 {
-                    if (content is FunctionCallContent callRequest && callRequest.CallId is not null && toolCalls?.ContainsKey(callRequest.CallId) is not true)
+                    if (content is FunctionCallContent { CallId: not null } callRequest)
                     {
                         JsonSerializerOptions serializerOptions = ToolCallJsonSerializerOptions ?? JsonContext.Default.Options;
-                        string jsonArguments = JsonSerializer.Serialize(callRequest.Arguments, serializerOptions.GetTypeInfo(typeof(IDictionary<string, object>)));
-                        (toolCalls ??= []).Add(
+                        message.ToolCalls.Add(new ChatCompletionsFunctionToolCall(
                             callRequest.CallId,
-                            new ChatCompletionsFunctionToolCall(
-                                callRequest.CallId,
-                                callRequest.Name,
-                                jsonArguments));
+                            callRequest.Name,
+                            JsonSerializer.Serialize(callRequest.Arguments, serializerOptions.GetTypeInfo(typeof(IDictionary<string, object>)))));
                     }
                 }
 
-                ChatRequestAssistantMessage message = new();
-                if (toolCalls is not null)
-                {
-                    foreach (var entry in toolCalls)
-                    {
-                        message.ToolCalls.Add(entry.Value);
-                    }
-                }
-                else
-                {
-                    message.Content = input.Text;
-                }
-
                 yield return message;
             }
         }
     }
 
+    /// <summary>Converts a list of <see cref="AIContent"/> to a list of <see cref="ChatMessageContentItem"/>.</summary>
+    private static List<ChatMessageContentItem> GetContentParts(IList<AIContent> contents)
+    {
+        List<ChatMessageContentItem> parts = [];
+        foreach (var content in contents)
+        {
+            switch (content)
+            {
+                case TextContent textContent:
+                    (parts ??= []).Add(new ChatMessageTextContentItem(textContent.Text));
+                    break;
+
+                case ImageContent imageContent when imageContent.Data is { IsEmpty: false } data:
+                    (parts ??= []).Add(new ChatMessageImageContentItem(BinaryData.FromBytes(data), imageContent.MediaType));
+                    break;
+
+                case ImageContent imageContent when imageContent.Uri is string uri:
+                    (parts ??= []).Add(new ChatMessageImageContentItem(new Uri(uri)));
+                    break;
+            }
+        }
+
+        if (parts.Count == 0)
+        {
+            parts.Add(new ChatMessageTextContentItem(string.Empty));
+        }
+
+        return parts;
+    }
+
     private static FunctionCallContent ParseCallContentFromJsonString(string json, string callId, string name) =>
         FunctionCallContent.CreateFromParsedArguments(json, callId, name,
             argumentParser: static json => JsonSerializer.Deserialize(json, JsonContext.Default.IDictionaryStringObject)!);

src/Libraries/Microsoft.Extensions.AI.OpenAI/OpenAIChatClient.cs

@@ -3,7 +3,6 @@
 
 using System;
 using System.Collections.Generic;
-using System.Linq;
 using System.Reflection;
 using System.Runtime.CompilerServices;
 using System.Text;
@@ -569,13 +568,16 @@ private sealed class OpenAIChatToolJson
     private IEnumerable<OpenAI.Chat.ChatMessage> ToOpenAIChatMessages(IEnumerable<ChatMessage> inputs)
     {
         // Maps all of the M.E.AI types to the corresponding OpenAI types.
-        // Unrecognized content is ignored.
+        // Unrecognized or non-processable content is ignored.
 
         foreach (ChatMessage input in inputs)
         {
-            if (input.Role == ChatRole.System)
+            if (input.Role == ChatRole.System || input.Role == ChatRole.User)
             {
-                yield return new SystemChatMessage(input.Text) { ParticipantName = input.AuthorName };
+                var parts = GetContentParts(input.Contents);
+                yield return input.Role == ChatRole.System ?
+                    new SystemChatMessage(parts) { ParticipantName = input.AuthorName } :
+                    new UserChatMessage(parts) { ParticipantName = input.AuthorName };
             }
             else if (input.Role == ChatRole.Tool)
             {
@@ -601,39 +603,25 @@ private sealed class OpenAIChatToolJson
                     }
                 }
             }
-            else if (input.Role == ChatRole.User)
-            {
-                yield return new UserChatMessage(input.Contents.Select(static (AIContent item) => item switch
-                {
-                    TextContent textContent => ChatMessageContentPart.CreateTextPart(textContent.Text),
-                    ImageContent imageContent => imageContent.Data is { IsEmpty: false } data ? ChatMessageContentPart.CreateImagePart(BinaryData.FromBytes(data), imageContent.MediaType) :
-                                                 imageContent.Uri is string uri ? ChatMessageContentPart.CreateImagePart(new Uri(uri)) :
-                                                 null,
-                    _ => null,
-                }).Where(c => c is not null))
-                { ParticipantName = input.AuthorName };
-            }
             else if (input.Role == ChatRole.Assistant)
             {
-                Dictionary<string, ChatToolCall>? toolCalls = null;
+                AssistantChatMessage message = new(GetContentParts(input.Contents))
+                {
+                    ParticipantName = input.AuthorName
+                };
 
                 foreach (var content in input.Contents)
                 {
-                    if (content is FunctionCallContent callRequest && callRequest.CallId is not null && toolCalls?.ContainsKey(callRequest.CallId) is not true)
+                    if (content is FunctionCallContent { CallId: not null } callRequest)
                     {
-                        (toolCalls ??= []).Add(
-                            callRequest.CallId,
+                        message.ToolCalls.Add(
                             ChatToolCall.CreateFunctionToolCall(
                                 callRequest.CallId,
                                 callRequest.Name,
                                 BinaryData.FromObjectAsJson(callRequest.Arguments, ToolCallJsonSerializerOptions)));
                     }
                 }
 
-                AssistantChatMessage message = toolCalls is not null ?
-                    new(toolCalls.Values) { ParticipantName = input.AuthorName } :
-                    new(input.Text) { ParticipantName = input.AuthorName };
-
                 if (input.AdditionalProperties?.TryGetValue(nameof(message.Refusal), out string? refusal) is true)
                 {
                     message.Refusal = refusal;
@@ -644,6 +632,36 @@ private sealed class OpenAIChatToolJson
         }
     }
 
+    /// <summary>Converts a list of <see cref="AIContent"/> to a list of <see cref="ChatMessageContentPart"/>.</summary>
+    private static List<ChatMessageContentPart> GetContentParts(IList<AIContent> contents)
+    {
+        List<ChatMessageContentPart> parts = [];
+        foreach (var content in contents)
+        {
+            switch (content)
+            {
+                case TextContent textContent:
+                    (parts ??= []).Add(ChatMessageContentPart.CreateTextPart(textContent.Text));
+                    break;
+
+                case ImageContent imageContent when imageContent.Data is { IsEmpty: false } data:
+                    (parts ??= []).Add(ChatMessageContentPart.CreateImagePart(BinaryData.FromBytes(data), imageContent.MediaType));
+                    break;
+
+                case ImageContent imageContent when imageContent.Uri is string uri:
+                    (parts ??= []).Add(ChatMessageContentPart.CreateImagePart(new Uri(uri)));
+                    break;
+            }
+        }
+
+        if (parts.Count == 0)
+        {
+            parts.Add(ChatMessageContentPart.CreateTextPart(string.Empty));
+        }
+
+        return parts;
+    }
+
     private static FunctionCallContent ParseCallContentFromJsonString(string json, string callId, string name) =>
         FunctionCallContent.CreateFromParsedArguments(json, callId, name,
             argumentParser: static json => JsonSerializer.Deserialize(json, JsonContext.Default.IDictionaryStringObject)!);

test/Libraries/Microsoft.Extensions.AI.Abstractions.Tests/Contents/TextContentTests.cs

@@ -16,7 +16,7 @@ public void Constructor_String_PropsDefault(string? text)
         TextContent c = new(text);
         Assert.Null(c.RawRepresentation);
         Assert.Null(c.AdditionalProperties);
-        Assert.Equal(text, c.Text);
+        Assert.Equal(text ?? string.Empty, c.Text);
     }
 
     [Fact]
@@ -34,13 +34,17 @@ public void Constructor_PropsRoundtrip()
         c.AdditionalProperties = props;
         Assert.Same(props, c.AdditionalProperties);
 
-        Assert.Null(c.Text);
+        Assert.Equal(string.Empty, c.Text);
         c.Text = "text";
         Assert.Equal("text", c.Text);
         Assert.Equal("text", c.ToString());
 
         c.Text = null;
-        Assert.Null(c.Text);
+        Assert.Equal(string.Empty, c.Text);
+        Assert.Equal(string.Empty, c.ToString());
+
+        c.Text = string.Empty;
+        Assert.Equal(string.Empty, c.Text);
         Assert.Equal(string.Empty, c.ToString());
     }
 }

test/Libraries/Microsoft.Extensions.AI.AzureAIInference.Tests/AzureAIInferenceChatClientTests.cs

@@ -321,6 +321,89 @@ public async Task MultipleMessages_NonStreaming()
         Assert.Equal(57, response.Usage.TotalTokenCount);
     }
 
+    [Fact]
+    public async Task NullAssistantText_ContentSkipped_NonStreaming()
+    {
+        const string Input = """
+            {
+                "messages": [
+                    {
+                        "role": "assistant"
+                    },
+                    {
+                        "content": [
+                            {
+                                "text": "hello!",
+                                "type": "text"
+                            }
+                        ],
+                        "role": "user"
+                    }
+                ],
+                "model": "gpt-4o-mini"
+            }
+            """;
+
+        const string Output = """
+            {
+              "id": "chatcmpl-ADyV17bXeSm5rzUx3n46O7m3M0o3P",
+              "object": "chat.completion",
+              "created": 1727894187,
+              "model": "gpt-4o-mini-2024-07-18",
+              "choices": [
+                {
+                  "index": 0,
+                  "message": {
+                    "role": "assistant",
+                    "content": "Hello.",
+                    "refusal": null
+                  },
+                  "logprobs": null,
+                  "finish_reason": "stop"
+                }
+              ],
+              "usage": {
+                "prompt_tokens": 42,
+                "completion_tokens": 15,
+                "total_tokens": 57,
+                "prompt_tokens_details": {
+                  "cached_tokens": 0
+                },
+                "completion_tokens_details": {
+                  "reasoning_tokens": 0
+                }
+              },
+              "system_fingerprint": "fp_f85bea6784"
+            }
+            """;
+
+        using VerbatimHttpHandler handler = new(Input, Output);
+        using HttpClient httpClient = new(handler);
+        using IChatClient client = CreateChatClient(httpClient, "gpt-4o-mini");
+
+        List<ChatMessage> messages =
+        [
+            new(ChatRole.Assistant, (string?)null),
+            new(ChatRole.User, "hello!"),
+        ];
+
+        var response = await client.CompleteAsync(messages);
+        Assert.NotNull(response);
+
+        Assert.Equal("chatcmpl-ADyV17bXeSm5rzUx3n46O7m3M0o3P", response.CompletionId);
+        Assert.Equal("Hello.", response.Message.Text);
+        Assert.Single(response.Message.Contents);
+        Assert.Equal(ChatRole.Assistant, response.Message.Role);
+        Assert.Equal("gpt-4o-mini-2024-07-18", response.ModelId);
+        Assert.Equal(DateTimeOffset.FromUnixTimeSeconds(1_727_894_187), response.CreatedAt);
+        Assert.Equal(ChatFinishReason.Stop, response.FinishReason);
+
+        Assert.NotNull(response.Usage);
+        Assert.Equal(42, response.Usage.InputTokenCount);
+        Assert.Equal(15, response.Usage.OutputTokenCount);
+        Assert.Equal(57, response.Usage.TotalTokenCount);
+    }
+
     [Fact]
     public async Task FunctionCallContent_NonStreaming()
     {

test/Libraries/Microsoft.Extensions.AI.Integration.Tests/ReducingChatClientTests.cs

@@ -190,9 +190,9 @@ private int CountTokens(ChatMessage message)
         int sum = 0;
         foreach (AIContent content in message.Contents)
         {
-            if ((content as TextContent)?.Text is string text)
+            if (content is TextContent text)
             {
-                sum += _tokenizer.CountTokens(text);
+                sum += _tokenizer.CountTokens(text.Text);
             }
         }