本文内容由 AI 辅助编写
最近我尝试用 OpenAI 官方 SDK 以兼容模式对接 DeepSeek 模型，开启深度思考模式之后，如果调用了自定义工具，就会在工具调用完成后发起下一轮请求的时候抛出 HTTP 400 错误，错误内容为 The \reasoning_content` in the thinking mode must be passed back to the API`
翻查 DeepSeek 官方文档 https://api-docs.deepseek.com/zh-cn/guides/thinking_mode#工具调用 可知，问题出在上下文回传的逻辑上：DeepSeek 的思考模式下，模型返回的 reasoning_content 思考内容，在后续的上下文请求里必须完整带回，包括工具调用完成后的续传请求。但是官方的 OpenAI .NET SDK 并没有适配 reasoning_content 这个扩展字段，在拼接上下文时会直接丢弃这部分内容，就触发了 API 的参数校验错误
为了解决这个问题，我采用了 walterlv 封装的 DeepSeekChatClient 实现，它完全兼容 Microsoft.Extensions.AI 的 IChatClient 接口，原生支持了 DeepSeek 的思考模式和 reasoning_content 的上下文回传逻辑，完美解决了这个问题。我还专门将其封装为 Microsoft.Extensions.AI.DeepSeek 库，可以直接在项目中引入使用。
项目配置
Microsoft.Extensions.AI.DeepSeek 库支持 net6.0、net8.0 和 net10.0 框架，依赖 Microsoft.Extensions.AI 10.5.2 版本，项目的 csproj 配置如下：
<Project Sdk="Microsoft.NET.Sdk"><PropertyGroup><TargetFrameworks>net10.0;net6.0;net8.0</TargetFrameworks><ImplicitUsings>enable</ImplicitUsings><Nullable>enable</Nullable><LangVersion>latest</LangVersion></PropertyGroup><ItemGroup><PackageReference Include="Microsoft.Extensions.AI" Version="10.5.2" /></ItemGroup>
</Project>
你只需要将这个项目添加到你的解决方案中，或者打包为 NuGet 包引入即可使用。
核心实现原理
DeepSeekChatClient 解决问题的核心逻辑是在构建请求消息的时候，会将上下文里的 TextReasoningContent 内容序列化为 reasoning_content 字段回传给 API，不会丢失思考内容。对应的实现代码如下：
foreach (var content in message.Contents)
{switch (content){case TextContent textContent when !string.IsNullOrEmpty(textContent.Text):textBuilder.Append(textContent.Text);break;case TextReasoningContent reasoningContent when !string.IsNullOrEmpty(reasoningContent.Text):// 收集思考内容，后续回传给 APIreasoningBuilder.Append(reasoningContent.Text);break;case FunctionCallContent functionCall:toolCalls ??= [];toolCalls.Add(new JsonObject{["id"] = functionCall.CallId,["type"] = "function",["function"] = new JsonObject{["name"] = functionCall.Name,["arguments"] = JsonSerializer.Serialize(functionCall.Arguments, SerializerOptions),},});break;}
}
// 构建请求时带上 reasoning_content 字段
yield return new JsonObject
{["role"] = role,["content"] = text,["reasoning_content"] = reasoningBuilder.Length > 0 ? reasoningBuilder.ToString() : null,["tool_calls"] = toolCalls,
};
整个代码
namespace Microsoft.Extensions.AI.DeepSeek;using Microsoft.Extensions.AI;using System.Net.Http.Headers;
using System.Runtime.CompilerServices;
using System.Text;
using System.Text.Json;
using System.Text.Json.Nodes;
using System.Text.Json.Serialization;public sealed partial class DeepSeekChatClient : IChatClient
{private static readonly JsonSerializerOptions SerializerOptions = new(JsonSerializerDefaults.Web){DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull,};private readonly HttpClient _httpClient;private readonly bool _ownsHttpClient;private readonly Uri _baseUri;private readonly string _apiKey;private readonly string _defaultModelId;private readonly bool _enableThinkingMode;private readonly int _reasoningBudgetTokens;private readonly ChatClientMetadata _metadata;public DeepSeekChatClient(string apiKey,string modelId,string baseUrl = "https://api.deepseek.com/v1",bool enableThinkingMode = true,int reasoningBudgetTokens = 8000,HttpClient? httpClient = null){if (string.IsNullOrWhiteSpace(apiKey)){throw new ArgumentException("Value cannot be null or whitespace.", nameof(apiKey));}if (string.IsNullOrWhiteSpace(modelId)){throw new ArgumentException("Value cannot be null or whitespace.", nameof(modelId));}if (string.IsNullOrWhiteSpace(baseUrl)){throw new ArgumentException("Value cannot be null or whitespace.", nameof(baseUrl));}_httpClient = httpClient ?? new HttpClient();_ownsHttpClient = httpClient is null;_baseUri = new Uri($"{baseUrl.AsSpan().TrimEnd('/')}/", UriKind.Absolute);_apiKey = apiKey;_defaultModelId = modelId;_enableThinkingMode = enableThinkingMode;_reasoningBudgetTokens = reasoningBudgetTokens;_metadata = new ChatClientMetadata("DeepSeek", _baseUri, modelId);}public async Task<ChatResponse> GetResponseAsync(IEnumerable<ChatMessage> messages,ChatOptions? options = null,CancellationToken cancellationToken = default){ArgumentNullException.ThrowIfNull(messages);List<AIContent> responseContents = [];UsageDetails? usage = null;ChatFinishReason? finishReason = null;string? responseId = null;string? modelId = null;DateTimeOffset? createdAt = null;object? rawRepresentation = null;ChatRole role = ChatRole.Assistant;await foreach (var update in GetStreamingResponseAsync(messages, options, cancellationToken)){if (update.Role is { } updateRole){role = updateRole;}responseId ??= update.ResponseId;modelId ??= update.ModelId;createdAt ??= update.CreatedAt;finishReason = update.FinishReason ?? finishReason;rawRepresentation = update.RawRepresentation ?? rawRepresentation;foreach (var content in update.Contents){if (content is UsageContent usageContent){usage = usageContent.Details;continue;}responseContents.Add(content);}}var responseMessage = new ChatMessage(role, responseContents){CreatedAt = createdAt,MessageId = responseId,RawRepresentation = rawRepresentation,};return new ChatResponse(responseMessage){ResponseId = responseId,ModelId = modelId ?? options?.ModelId ?? _defaultModelId,CreatedAt = createdAt,FinishReason = finishReason,Usage = usage,RawRepresentation = rawRepresentation,};}public async IAsyncEnumerable<ChatResponseUpdate> GetStreamingResponseAsync(IEnumerable<ChatMessage> messages,ChatOptions? options = null,[EnumeratorCancellation] CancellationToken cancellationToken = default){ArgumentNullException.ThrowIfNull(messages);var requestJson = BuildRequest(messages, options);using var request = new HttpRequestMessage(HttpMethod.Post, new Uri(_baseUri, "chat/completions")){Content = new StringContent(requestJson.ToJsonString(SerializerOptions), Encoding.UTF8, "application/json"),};request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", _apiKey);using var response = await _httpClient.SendAsync(request, HttpCompletionOption.ResponseHeadersRead, cancellationToken).ConfigureAwait(false);if (!response.IsSuccessStatusCode){var errorBody = await response.Content.ReadAsStringAsync(cancellationToken).ConfigureAwait(false);throw new InvalidOperationException(MapErrorToMessage((int) response.StatusCode, errorBody));}using var stream = await response.Content.ReadAsStreamAsync(cancellationToken).ConfigureAwait(false);using var reader = new StreamReader(stream, Encoding.UTF8);string? responseId = null;string? modelId = null;DateTimeOffset? createdAt = null;ChatFinishReason? finishReason = null;UsageDetails? usage = null;var toolCallAccumulators = new Dictionary<int, ToolCallAccumulator>();await foreach (var chunk in ReadSseChunksAsync(reader, cancellationToken)){responseId ??= chunk.Id;modelId ??= chunk.Model;if (createdAt is null && chunk.Created is { } created){createdAt = DateTimeOffset.FromUnixTimeSeconds(created);}var choice = chunk.Choices?.FirstOrDefault();if (choice?.Delta is { } delta){List<AIContent> contents = [];if (!string.IsNullOrEmpty(delta.ReasoningContent)){contents.Add(new TextReasoningContent(delta.ReasoningContent){RawRepresentation = chunk,});}if (!string.IsNullOrEmpty(delta.Content)){contents.Add(new TextContent(delta.Content){RawRepresentation = chunk,});}if (delta.ToolCalls is { Length: > 0 }){foreach (var toolCall in delta.ToolCalls){if (!toolCallAccumulators.TryGetValue(toolCall.Index, out var accumulator)){accumulator = new ToolCallAccumulator();toolCallAccumulators[toolCall.Index] = accumulator;}accumulator.Apply(toolCall);}}if (contents.Count > 0){yield return new ChatResponseUpdate(ChatRole.Assistant, contents){ResponseId = responseId,ModelId = modelId,CreatedAt = createdAt,RawRepresentation = chunk,};}}if (!string.IsNullOrWhiteSpace(choice?.FinishReason)){finishReason = ParseFinishReason(choice.FinishReason);}if (chunk.Usage is { } chunkUsage){usage = CreateUsageDetails(chunkUsage);}}List<AIContent> finalContents = [];foreach (var toolCall in toolCallAccumulators.OrderBy(static pair => pair.Key).Select(static pair => pair.Value)){finalContents.Add(toolCall.ToFunctionCallContent());}if (usage is not null){finalContents.Add(new UsageContent(usage));}if (finalContents.Count > 0 || finishReason is not null){yield return new ChatResponseUpdate(ChatRole.Assistant, finalContents){ResponseId = responseId,ModelId = modelId ?? options?.ModelId ?? _defaultModelId,CreatedAt = createdAt,FinishReason = finishReason,};}}public object? GetService(Type serviceType, object? serviceKey = null){ArgumentNullException.ThrowIfNull(serviceType);if (serviceKey is not null){return null;}if (serviceType.IsInstanceOfType(this)){return this;}if (serviceType.IsInstanceOfType(_metadata)){return _metadata;}if (serviceType.IsInstanceOfType(_httpClient)){return _httpClient;}return null;}public void Dispose(){if (_ownsHttpClient){_httpClient.Dispose();}}private JsonObject BuildRequest(IEnumerable<ChatMessage> messages, ChatOptions? options){var request = new JsonObject{["model"] = options?.ModelId ?? _defaultModelId,["stream"] = true,["stream_options"] = new JsonObject { ["include_usage"] = true },["messages"] = BuildMessages(messages, options),};if (options?.Temperature is { } temperature){request["temperature"] = JsonValue.Create(temperature);}if (options?.TopP is { } topP){request["top_p"] = JsonValue.Create(topP);}if (options?.MaxOutputTokens is { } maxOutputTokens){request["max_tokens"] = JsonValue.Create(maxOutputTokens);}if (options?.StopSequences is { Count: > 0 } stopSequences){var stop = new JsonArray();foreach (var stopSequence in stopSequences){stop.Add(stopSequence);}request["stop"] = stop;}if (_enableThinkingMode){request["thinking"] = new JsonObject{["type"] = "enabled",["budget_tokens"] = _reasoningBudgetTokens,};}var tools = BuildTools(options?.Tools);if (tools.Count > 0){request["tools"] = tools;request["tool_choice"] = "auto";}return request;}private static JsonArray BuildMessages(IEnumerable<ChatMessage> messages, ChatOptions? options){JsonArray jsonMessages = [];if (!string.IsNullOrWhiteSpace(options?.Instructions)){jsonMessages.Add(new JsonObject{["role"] = "system",["content"] = options.Instructions,});}foreach (var message in messages){foreach (var jsonMessage in BuildMessages(message)){jsonMessages.Add(jsonMessage);}}return jsonMessages;}private static IEnumerable<JsonObject> BuildMessages(ChatMessage message){ArgumentNullException.ThrowIfNull(message);if (message.Role == ChatRole.Tool){foreach (var content in message.Contents){if (content is FunctionResultContent functionResult){yield return new JsonObject{["role"] = "tool",["tool_call_id"] = functionResult.CallId,["content"] = SerializeToolResult(functionResult.Result),};}}yield break;}string? text = null;string? reasoning = null;JsonArray? toolCalls = null;if (message.Contents.Count > 0){var textBuilder = new StringBuilder();var reasoningBuilder = new StringBuilder();foreach (var content in message.Contents){switch (content){case TextContent textContent when !string.IsNullOrEmpty(textContent.Text):textBuilder.Append(textContent.Text);break;case TextReasoningContent reasoningContent when !string.IsNullOrEmpty(reasoningContent.Text):reasoningBuilder.Append(reasoningContent.Text);break;case FunctionCallContent functionCall:toolCalls ??= [];toolCalls.Add(new JsonObject{["id"] = functionCall.CallId,["type"] = "function",["function"] = new JsonObject{["name"] = functionCall.Name,
#if NET8_0_OR_GREATER["arguments"] = JsonSerializer.Serialize(functionCall.Arguments, SourceGenerationContext.Default.Options),
#else["arguments"] = JsonSerializer.Serialize(functionCall.Arguments, SerializerOptions),
#endif},});break;}}text = textBuilder.Length > 0 ? textBuilder.ToString() : null;reasoning = reasoningBuilder.Length > 0 ? reasoningBuilder.ToString() : null;}else if (!string.IsNullOrWhiteSpace(message.Text)){text = message.Text;}var role = message.Role == ChatRole.System ? "system": message.Role == ChatRole.Assistant ? "assistant": "user";yield return new JsonObject{["role"] = role,["content"] = text,["reasoning_content"] = reasoning,["tool_calls"] = toolCalls,};}private static JsonArray BuildTools(IList<AITool>? tools){JsonArray jsonTools = [];if (tools is null){return jsonTools;}foreach (var tool in tools){if (tool is not AIFunctionDeclaration function){continue;}jsonTools.Add(new JsonObject{["type"] = "function",["function"] = new JsonObject{["name"] = function.Name,["description"] = function.Description,["parameters"] = ToJsonNode(function.JsonSchema) ?? new JsonObject(),},});}return jsonTools;}private static JsonNode? ToJsonNode(object? value){return value switch{null => null,JsonNode node => node.DeepClone(),JsonElement element => JsonNode.Parse(element.GetRawText()),JsonDocument document => JsonNode.Parse(document.RootElement.GetRawText()),string text when !string.IsNullOrWhiteSpace(text) => JsonNode.Parse(text),
#if NET8_0_OR_GREATER_ => JsonSerializer.SerializeToNode(value, SourceGenerationContext.Default.Options),
#else_ => JsonSerializer.SerializeToNode(value, SerializerOptions),
#endif};}private static string SerializeToolResult(object? result){return result switch{null => "null",string text => text,JsonElement element => element.GetRawText(),JsonDocument document => document.RootElement.GetRawText(),
#if NET8_0_OR_GREATER_ => JsonSerializer.Serialize(result, SourceGenerationContext.Default.Options),
#else_ => JsonSerializer.Serialize(result, SerializerOptions),
#endif};}private static async IAsyncEnumerable<DeepSeekChatChunk> ReadSseChunksAsync(StreamReader reader,[EnumeratorCancellation] CancellationToken cancellationToken){while (true){
#if NET8_0_OR_GREATERvar line = await reader.ReadLineAsync(cancellationToken).ConfigureAwait(false);
#elsevar line = await reader.ReadLineAsync().ConfigureAwait(false);
#endifif (line is null){yield break;}if (!line.StartsWith("data: ", StringComparison.Ordinal)){continue;}var payload = line["data: ".Length..];if (payload == "[DONE]"){yield break;}if (string.IsNullOrWhiteSpace(payload)){continue;}DeepSeekChatChunk? chunk;try{
#if NET8_0_OR_GREATERchunk = JsonSerializer.Deserialize(payload, SourceGenerationContext.Default.DeepSeekChatChunk);
#elsechunk = JsonSerializer.Deserialize<DeepSeekChatChunk>(payload, SerializerOptions);
#endif}catch (JsonException){continue;}if (chunk is not null){yield return chunk;}}}private static UsageDetails CreateUsageDetails(DeepSeekUsage usage){var usageDetails = new UsageDetails{InputTokenCount = usage.PromptTokens,OutputTokenCount = usage.CompletionTokens,TotalTokenCount = usage.TotalTokens > 0 ? usage.TotalTokens : usage.PromptTokens + usage.CompletionTokens,CachedInputTokenCount = usage.PromptCacheHitTokens,ReasoningTokenCount = usage.CompletionTokensDetails?.ReasoningTokens,};if (usage.PromptCacheMissTokens > 0){usageDetails.AdditionalCounts = new AdditionalPropertiesDictionary<long>{["prompt_cache_miss_tokens"] = usage.PromptCacheMissTokens,};}return usageDetails;}private static ChatFinishReason? ParseFinishReason(string? finishReason){return finishReason switch{null => null,"stop" => ChatFinishReason.Stop,"length" => ChatFinishReason.Length,"tool_calls" => ChatFinishReason.ToolCalls,"content_filter" => ChatFinishReason.ContentFilter,_ => new ChatFinishReason(finishReason),};}private static string MapErrorToMessage(int statusCode, string responseBody){string? errorCode = null;string? errorMessage = null;try{
#if NET8_0_OR_GREATERvar error = JsonSerializer.Deserialize(responseBody, SourceGenerationContext.Default.DeepSeekErrorResponse);
#elsevar error = JsonSerializer.Deserialize<DeepSeekErrorResponse>(responseBody, SerializerOptions);
#endiferrorCode = error?.Error?.Code;errorMessage = error?.Error?.Message;}catch (JsonException){}var detail = errorCode switch{"insufficient_balance" => "账户余额不足,请充值后重试。","rate_limit_exceeded" => "请求速率超限,请稍后重试。","context_length_exceeded" => "输入内容超出模型上下文限制。","invalid_api_key" => "API Key 无效,请检查配置。","model_not_found" => "模型不存在,请检查模型名称。","server_error" => "服务端内部错误,请稍后重试。",_ => null,};if (detail is not null){return $"API 错误（HTTP {statusCode}, code={errorCode}）：{detail}";}if (!string.IsNullOrWhiteSpace(errorMessage)){return $"API 错误（HTTP {statusCode}）：{errorMessage}";}return $"API 请求失败,状态码 {statusCode}。";}#if NET8_0_OR_GREATER[JsonSourceGenerationOptions(DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull,PropertyNamingPolicy = JsonKnownNamingPolicy.CamelCase)][JsonSerializable(typeof(DeepSeekChatChunk))][JsonSerializable(typeof(DeepSeekErrorResponse))][JsonSerializable(typeof(Dictionary<string, JsonElement>))][JsonSerializable(typeof(IDictionary<string, object>), GenerationMode = JsonSourceGenerationMode.Serialization)]private partial class SourceGenerationContext : JsonSerializerContext{}
#endifprivate sealed class ToolCallAccumulator{private string? _id;private string? _name;private readonly StringBuilder _arguments = new();public void Apply(DeepSeekToolCallDelta delta){if (!string.IsNullOrWhiteSpace(delta.Id)){_id = delta.Id;}if (!string.IsNullOrWhiteSpace(delta.Function?.Name)){_name = delta.Function.Name;}if (!string.IsNullOrEmpty(delta.Function?.Arguments)){_arguments.Append(delta.Function.Arguments);}}public FunctionCallContent ToFunctionCallContent(){var argumentsJson = _arguments.Length > 0 ? _arguments.ToString() : "{}";return new FunctionCallContent(_id ?? Guid.NewGuid().ToString("N"),_name ?? string.Empty,ParseArguments(argumentsJson)){RawRepresentation = argumentsJson,};}private static Dictionary<string, object?> ParseArguments(string argumentsJson){try{
#if NET8_0_OR_GREATERvar json = JsonSerializer.Deserialize<Dictionary<string, JsonElement>>(argumentsJson, SourceGenerationContext.Default.Options);
#elsevar json = JsonSerializer.Deserialize<Dictionary<string, JsonElement>>(argumentsJson, SerializerOptions);
#endifif (json is null){return [];}return json.ToDictionary(static pair => pair.Key, static pair => (object?) pair.Value.Clone(), StringComparer.Ordinal);}catch (JsonException){return [];}}}private sealed class DeepSeekChatChunk{[JsonPropertyName("id")]public string? Id { get; set; }[JsonPropertyName("model")]public string? Model { get; set; }[JsonPropertyName("created")]public long? Created { get; set; }[JsonPropertyName("choices")]public DeepSeekChoice[]? Choices { get; set; }[JsonPropertyName("usage")]public DeepSeekUsage? Usage { get; set; }}private sealed class DeepSeekChoice{[JsonPropertyName("delta")]public DeepSeekDelta? Delta { get; set; }[JsonPropertyName("finish_reason")]public string? FinishReason { get; set; }}private sealed class DeepSeekDelta{[JsonPropertyName("content")]public string? Content { get; set; }[JsonPropertyName("reasoning_content")]public string? ReasoningContent { get; set; }[JsonPropertyName("tool_calls")]public DeepSeekToolCallDelta[]? ToolCalls { get; set; }}private sealed class DeepSeekToolCallDelta{[JsonPropertyName("index")]public int Index { get; set; }[JsonPropertyName("id")]public string? Id { get; set; }[JsonPropertyName("function")]public DeepSeekFunctionDelta? Function { get; set; }}private sealed class DeepSeekFunctionDelta{[JsonPropertyName("name")]public string? Name { get; set; }[JsonPropertyName("arguments")]public string? Arguments { get; set; }}private sealed class DeepSeekUsage{[JsonPropertyName("prompt_tokens")]public int PromptTokens { get; set; }[JsonPropertyName("completion_tokens")]public int CompletionTokens { get; set; }[JsonPropertyName("total_tokens")]public int TotalTokens { get; set; }[JsonPropertyName("prompt_cache_hit_tokens")]public int PromptCacheHitTokens { get; set; }[JsonPropertyName("prompt_cache_miss_tokens")]public int PromptCacheMissTokens { get; set; }[JsonPropertyName("completion_tokens_details")]public DeepSeekCompletionTokensDetails? CompletionTokensDetails { get; set; }}private sealed class DeepSeekCompletionTokensDetails{[JsonPropertyName("reasoning_tokens")]public int? ReasoningTokens { get; set; }}private sealed class DeepSeekErrorResponse{[JsonPropertyName("error")]public DeepSeekError? Error { get; set; }}private sealed class DeepSeekError{[JsonPropertyName("code")]public string? Code { get; set; }[JsonPropertyName("message")]public string? Message { get; set; }}
}
同时这个实现还完整支持 DeepSeek 的所有扩展特性：流式响应输出、思考内容流式返回、工具调用完整流程、错误码友好转换、推理Token消耗统计等，甚至会把缓存命中、推理Token消耗这些扩展字段都映射到 UsageDetails 里，方便业务统计成本。
使用示例
初始化 DeepSeekChatClient 的方式非常简单，只需要传入你的 DeepSeek API Key 和要使用的模型ID即可，也可以根据业务需要配置思考模式开关、推理预算Token等参数。以下是完整的工具调用测试代码：
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.AI.DeepSeek;
using OpenAI;
using System.ClientModel;// 读取你的 DeepSeek API Key，记得替换为你自己的 Key 文件路径
var keyFile = @"C:\lindexi\Work\deepseek.txt";
var key = File.ReadAllText(keyFile);// 初始化 DeepSeekChatClient，默认开启思考模式
using var chatClient = new DeepSeekChatClient(key, "deepseek-v4-pro");// 如果使用 OpenAIClient 对接，就会出现本文提到的错误
//var openAiClient = new OpenAIClient(new ApiKeyCredential(key), new OpenAIClientOptions()
//{
// Endpoint = new Uri("https://api.deepseek.com/v1")
//});
//var openAiChatClient = openAiClient.GetChatClient("deepseek-v4-pro").AsIChatClient();// 构建带工具调用的 AI Agent，这里注册了查询天气的工具
ChatClientAgent agent = chatClient.AsBuilder().BuildAIAgent(tools: [AIFunctionFactory.Create(GetWeather)]);var session = await agent.CreateSessionAsync();
bool isThinking = false;// 流式获取响应内容，区分输出思考内容和最终回答
await foreach (var agentResponseUpdate in agent.RunStreamingAsync("北京天气怎样", session))
{foreach (var aiContent in agentResponseUpdate.Contents){if (aiContent is TextReasoningContent textReasoningContent){if (string.IsNullOrEmpty(textReasoningContent.Text)){continue;}isThinking = true;Console.Write(textReasoningContent.Text);}else if (aiContent is TextContent textContent){if (string.IsNullOrEmpty(textContent.Text)){continue;}if (isThinking){Console.WriteLine();}isThinking = false;Console.Write(textContent.Text);}}
}Console.WriteLine();
Console.WriteLine("Hello, World!");// 自定义的天气查询工具
string GetWeather(string city)
{return $"The weather in {city} is sunny.";
}
运行以上代码即可看到模型先输出思考过程，然后调用天气工具，最后返回最终回答，全程不会再出现 reasoning_content 相关的错误。
代码
本文代码放在 github 和 gitee 上，可以使用如下命令行拉取代码。我整个代码仓库比较庞大，使用以下命令行可以进行部分拉取，拉取速度比较快
先创建一个空文件夹，接着使用命令行 cd 命令进入此空文件夹，在命令行里面输入以下代码，即可获取到本文的代码
git init
git remote add origin https://gitee.com/lindexi/lindexi_gd.git
git pull origin bc29ceb1611cb60c264143c3b13e408346ae14e3
以上使用的是国内的 gitee 的源，如果 gitee 不能访问，请替换为 github 的源。请在命令行继续输入以下代码，将 gitee 源换成 github 源进行拉取代码。如果依然拉取不到代码，可以发邮件向我要代码
git remote remove origin
git remote add origin https://github.com/lindexi/lindexi_gd.git
git pull origin bc29ceb1611cb60c264143c3b13e408346ae14e3
获取代码之后，进入 SemanticKernelSamples/Microsoft.Agents.AI.Extensions 文件夹，即可获取到源代码
更多技术博客，请参阅 博客导航
其他异常情况
由于 DeepSeek 对工具要求比较严格，如工具名只能符合 ^[a-zA-Z0-9_-]+$ 正则条件。如果传入不符合正则约束的工具名，将会遇到 HTTP 400 错误：
HTTP 400：Invalid 'tools[0].function.name': string does not match pattern. Expected a string that matches the pattern '^[a-zA-Z0-9_-]+$'.”
解决方法为修改工具名，让工具名符合规范
