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+# llmapi v0.1.0 设计文档
+
+> 日期:2026-03-10
+> 状态:Draft
+> 作者:Sunrisepeak / Claude Code
+
+---
+
+## 1. 概述
+
+### 1.1 目标
+
+将 `mcpplibs.llmapi` 从当前的 OpenAI-only 单文件客户端,升级为生产级多 Provider LLM API 库:
+
+- **多 Provider 抽象** — 统一接口适配 OpenAI / Anthropic(及未来 Provider)
+- **完整功能** — Tool Calling、多模态输入、结构化输出、Embeddings
+- **自研 tinyhttps** — 替换 libcurl,仅依赖 mbedtls,支持 musl-gcc 全静态链接
+- **C++20 协程** — 同步 + `co_await` 异步双模式
+- **跨平台** — Linux / macOS / Windows
+
+### 1.2 设计原则
+
+| 原则 | 说明 |
+|------|------|
+| 分层抽象 | 核心统一接口 + Provider 特有扩展 + raw JSON escape hatch |
+| 编译期多态 | C++20 concepts 约束 Provider,零虚表开销 |
+| 最小依赖 | 仅 mbedtls 3.6.1 + nlohmann/json,无 libcurl |
+| 静态链接友好 | musl-gcc 全静态可行,无 .so 运行时依赖 |
+| 独立可拆分 | tinyhttps 模块完全独立,未来可作为单独库发布 |
+| mcpp 风格 | 遵循 mcpp-style-ref 命名与模块规范 |
+
+### 1.3 决策记录
+
+| 决策点 | 选择 | 理由 |
+|--------|------|------|
+| 抽象哲学 | 分层抽象 | 兼顾统一性和 Provider 特有能力 |
+| 多态机制 | C++20 concepts | 零开销,符合项目 C++23 风格 |
+| 异步策略 | C++20 协程 | 现代异步范式,自研最小封装 |
+| Event Loop | `poll()` / `WSAPoll()` | 跨平台,无平台特定依赖 |
+| TLS | mbedtls 3.6.1 | 静态链接友好,Apache 2.0 许可 |
+| HTTP | 自研 tinyhttps | 仅实现 LLM API 所需子集,接口通用 |
+| CA 证书 | 内嵌 + 系统 fallback | 独立部署自带证书,有系统证书时自动更新 |
+
+---
+
+## 2. 整体架构
+
+### 2.1 分层总览
+
+```
+┌─────────────────────────────────────────────────────┐
+│ 用户代码 (Application) │
+│ client.chat("hello") | co_await client.chat(...) │
+└──────────────────────┬──────────────────────────────┘
+ │
+┌──────────────────────▼──────────────────────────────┐
+│ mcpplibs.llmapi (核心层) │
+│ │
+│ Client
统一泛型客户端 │
+│ concept Provider Provider 约束 │
+│ ChatParams 通用请求参数 │
+│ Message/Content 统一消息模型 │
+│ ToolDef/ToolCall 工具调用抽象 │
+│ Task 协程 return type │
+└──────────┬─────────────────────┬────────────────────┘
+ │ │
+┌──────────▼──────┐ ┌─────────▼─────────┐
+│ :openai │ │ :anthropic │
+│ Provider 实现 │ │ Provider 实现 │
+│ - 请求构建 │ │ - 请求构建 │
+│ - 响应解析 │ │ - 响应解析 │
+│ - SSE 解析 │ │ - SSE 解析 │
+│ - Auth header │ │ - Auth header │
+└──────────┬──────┘ └─────────┬─────────┘
+ │ │
+┌──────────▼─────────────────────▼────────────────────┐
+│ mcpplibs.tinyhttps (独立通用模块) │
+│ │
+│ HttpClient 连接管理 + keep-alive │
+│ HttpRequest 请求构建 │
+│ HttpResponse 响应解析 + chunked decoding │
+│ SseParser SSE 事件流解析 │
+│ TlsSocket mbedtls TLS 封装 │
+│ Socket 平台抽象 (BSD/Winsock) │
+│ CaBundle 内嵌 CA + 系统 fallback │
+└─────────────────────────────────────────────────────┘
+ │
+ ┌─────▼─────┐
+ │ mbedtls │ add_requires("mbedtls 3.6.1")
+ │ 3.6.1 │
+ └───────────┘
+```
+
+### 2.2 文件结构
+
+```
+src/
+├── llmapi.cppm # export module mcpplibs.llmapi
+├── types.cppm # :types — Message, Content, ToolDef, ChatParams...
+├── provider.cppm # :provider — concept Provider
+├── client.cppm # :client — Client 泛型客户端
+├── coro.cppm # :coro — Task, EventLoop
+├── openai.cppm # :openai — OpenAI Provider 实现
+├── anthropic.cppm # :anthropic — Anthropic Provider 实现
+├── json/
+│ ├── json.cppm
+│ └── json.hpp
+└── tinyhttps/
+ ├── tinyhttps.cppm # export module mcpplibs.tinyhttps
+ ├── socket.cppm # :socket — 平台 socket 抽象
+ ├── tls.cppm # :tls — mbedtls TLS 封装
+ ├── http.cppm # :http — HTTP/1.1 client
+ ├── sse.cppm # :sse — SSE parser
+ ├── proxy.cppm # :proxy — HTTP CONNECT 代理
+ └── ca_bundle.cppm # :ca_bundle — 内嵌 CA 证书
+```
+
+### 2.3 模块依赖关系
+
+```
+mcpplibs.llmapi
+ ├── :client → :provider, :types, :coro
+ ├── :openai → :types, mcpplibs.tinyhttps, nlohmann.json
+ ├── :anthropic → :types, mcpplibs.tinyhttps, nlohmann.json
+ ├── :types → (独立)
+ ├── :provider → :types, :coro
+ └── :coro → (独立)
+
+mcpplibs.tinyhttps (完全独立,不依赖 llmapi)
+ ├── :http → :tls, :sse, :proxy
+ ├── :tls → :socket, :ca_bundle, mbedtls
+ ├── :socket → (平台 API)
+ ├── :sse → (独立)
+ ├── :proxy → :socket, :tls
+ └── :ca_bundle → mbedtls
+```
+
+### 2.4 xmake 构建
+
+```lua
+-- tinyhttps (独立 target,未来可拆出去)
+target("tinyhttps")
+ set_kind("static")
+ set_languages("c++23")
+ set_policy("build.c++.modules", true)
+ add_requires("mbedtls 3.6.1")
+ add_files("src/tinyhttps/*.cppm")
+ add_packages("mbedtls")
+
+-- llmapi (依赖 tinyhttps)
+target("llmapi")
+ set_kind("static")
+ set_languages("c++23")
+ set_policy("build.c++.modules", true)
+ add_deps("tinyhttps")
+ add_files("src/*.cppm", "src/json/json.cppm")
+```
+
+---
+
+## 3. 核心类型系统
+
+### 3.1 消息模型
+
+统一两家 API 的消息表示差异。关键矛盾:
+- OpenAI: system 是 messages 数组中的一个 role
+- Anthropic: system 是顶层独立字段,messages 只有 user/assistant
+
+设计:统一用 `Role::System` 存入消息列表,由 Provider 在序列化时提取。
+
+```cpp
+// src/types.cppm
+export module mcpplibs.llmapi:types;
+
+import std;
+
+export namespace mcpplibs::llmapi {
+
+// ─── 角色 ───
+enum class Role {
+ System,
+ User,
+ Assistant,
+ Tool // OpenAI 的 tool 角色, Anthropic 用 tool_result content block
+};
+
+// ─── 内容块(统一多模态) ───
+struct TextContent {
+ std::string text;
+};
+
+struct ImageContent {
+ std::string data; // base64 编码或 URL
+ std::string mediaType; // "image/png", "image/jpeg", ...
+ bool isUrl { false }; // true=URL, false=base64
+};
+
+struct AudioContent {
+ std::string data; // base64 编码
+ std::string format; // "wav", "mp3"
+};
+
+struct ToolUseContent {
+ std::string id;
+ std::string name;
+ std::string inputJson; // JSON string
+};
+
+struct ToolResultContent {
+ std::string toolUseId;
+ std::string content; // 结果文本
+ bool isError { false };
+};
+
+using ContentPart = std::variant<
+ TextContent,
+ ImageContent,
+ AudioContent,
+ ToolUseContent,
+ ToolResultContent
+>;
+
+// 内容:纯文本(string) 或 多部分(vector)
+using Content = std::variant<
+ std::string,
+ std::vector
+>;
+
+// ─── 消息 ───
+struct Message {
+ Role role;
+ Content content;
+ std::string name; // 可选,参与者名称
+
+ // 便捷构造
+ static Message system(std::string_view text) {
+ return { Role::System, std::string(text), {} };
+ }
+ static Message user(std::string_view text) {
+ return { Role::User, std::string(text), {} };
+ }
+ static Message assistant(std::string_view text) {
+ return { Role::Assistant, std::string(text), {} };
+ }
+};
+
+// ─── 工具定义 ───
+struct ToolDef {
+ std::string name; // 工具名称
+ std::string description; // 描述
+ std::string inputSchema; // JSON Schema string
+};
+
+// ─── 工具调用(响应中) ───
+struct ToolCall {
+ std::string id; // 调用 ID
+ std::string name; // 工具名称
+ std::string arguments; // JSON string
+};
+
+// ─── 工具选择策略 ───
+enum class ToolChoice {
+ Auto, // 模型决定
+ None, // 禁止调用
+ Required, // 必须调用(OpenAI: "required", Anthropic: "any")
+};
+
+struct ToolChoiceForced {
+ std::string name; // 指定工具名
+};
+
+using ToolChoicePolicy = std::variant;
+
+// ─── 结构化输出 ───
+enum class ResponseFormatType {
+ Text, // 默认纯文本
+ JsonObject, // JSON 模式
+ JsonSchema, // JSON Schema 约束 (OpenAI only, Anthropic 降级为提示词)
+};
+
+struct ResponseFormat {
+ ResponseFormatType type { ResponseFormatType::Text };
+ std::string schemaName; // json_schema 模式下的 schema name
+ std::string schema; // JSON Schema string
+};
+
+// ─── 请求参数 ───
+struct ChatParams {
+ // 通用参数(两家都支持)
+ std::optional temperature;
+ std::optional topP;
+ std::optional maxTokens;
+ std::optional> stop;
+
+ // 工具
+ std::optional> tools;
+ std::optional toolChoice;
+
+ // 结构化输出
+ std::optional responseFormat;
+
+ // Provider 特有参数 (escape hatch)
+ std::optional extraJson; // 合并到请求 JSON 中
+};
+
+// ─── 停止原因 ───
+enum class StopReason {
+ EndOfTurn, // 正常结束
+ MaxTokens, // 达到 token 上限
+ ToolUse, // 需要调用工具
+ ContentFilter, // 内容过滤 (OpenAI only)
+ StopSequence, // 命中停止序列 (Anthropic only)
+};
+
+// ─── Token 用量 ───
+struct Usage {
+ int inputTokens { 0 };
+ int outputTokens { 0 };
+ int totalTokens { 0 }; // inputTokens + outputTokens
+};
+
+// ─── 聊天响应 ───
+struct ChatResponse {
+ std::string id;
+ std::string model;
+ std::vector content; // 响应内容块
+ StopReason stopReason;
+ Usage usage;
+
+ // 便捷方法:提取纯文本
+ std::string text() const {
+ std::string result;
+ for (const auto& part : content) {
+ if (auto* t = std::get_if(&part)) {
+ result += t->text;
+ }
+ }
+ return result;
+ }
+
+ // 便捷方法:提取工具调用
+ std::vector tool_calls() const {
+ std::vector calls;
+ for (const auto& part : content) {
+ if (auto* t = std::get_if(&part)) {
+ calls.push_back({ t->id, t->name, t->inputJson });
+ }
+ }
+ return calls;
+ }
+};
+
+// ─── Embedding 响应 ───
+struct EmbeddingResponse {
+ std::vector> embeddings;
+ std::string model;
+ Usage usage;
+};
+
+// ─── 对话序列化 ───
+struct Conversation {
+ std::vector messages;
+
+ void save(std::string_view filePath) const;
+ static Conversation load(std::string_view filePath);
+
+ void push(Message msg) { messages.push_back(std::move(msg)); }
+ void clear() { messages.clear(); }
+ int size() const { return static_cast(messages.size()); }
+};
+
+} // namespace mcpplibs::llmapi
+```
+
+### 3.2 Provider Concept
+
+```cpp
+// src/provider.cppm
+export module mcpplibs.llmapi:provider;
+
+import :types;
+import :coro;
+
+import std;
+
+export namespace mcpplibs::llmapi {
+
+// ─── 流式回调 concept ───
+template
+concept StreamCallback = std::invocable &&
+ std::same_as, void>;
+
+// ─── Provider concept ───
+template
+concept Provider = requires(P p,
+ const std::vector& messages,
+ const ChatParams& params) {
+ // 基本信息
+ { p.name() } -> std::convertible_to;
+
+ // 同步请求
+ { p.chat(messages, params) } -> std::same_as;
+
+ // 异步请求(协程)
+ { p.chat_async(messages, params) } -> std::same_as>;
+};
+
+// ─── 可选能力 concepts(Provider 可选实现) ───
+
+// 支持流式
+template
+concept StreamableProvider = Provider && requires(P p,
+ const std::vector& messages,
+ const ChatParams& params,
+ std::function cb) {
+ { p.chat_stream(messages, params, cb) } -> std::same_as;
+ { p.chat_stream_async(messages, params, cb) } -> std::same_as>;
+};
+
+// 支持 Embeddings
+template
+concept EmbeddableProvider = Provider && requires(P p,
+ const std::vector& inputs,
+ std::string_view model) {
+ { p.embed(inputs, model) } -> std::same_as;
+};
+
+} // namespace mcpplibs::llmapi
+```
+
+### 3.3 Client 泛型客户端
+
+```cpp
+// src/client.cppm
+export module mcpplibs.llmapi:client;
+
+import :types;
+import :provider;
+import :coro;
+
+import std;
+
+export namespace mcpplibs::llmapi {
+
+template
+class Client {
+private:
+ P provider_;
+ Conversation conversation_;
+ ChatParams defaultParams_;
+
+public:
+ // ─── 构造 ───
+ explicit Client(P provider)
+ : provider_(std::move(provider)) {}
+
+ // ─── 配置(链式) ───
+ Client& default_params(ChatParams params) {
+ defaultParams_ = std::move(params);
+ return *this;
+ }
+
+ // ─── 消息管理 ───
+ Client& system(std::string_view content) {
+ conversation_.push(Message::system(content));
+ return *this;
+ }
+
+ Client& user(std::string_view content) {
+ conversation_.push(Message::user(content));
+ return *this;
+ }
+
+ Client& add_message(Message msg) {
+ conversation_.push(std::move(msg));
+ return *this;
+ }
+
+ Client& clear() {
+ conversation_.clear();
+ return *this;
+ }
+
+ // ─── 同步聊天 ───
+ ChatResponse chat(std::string_view userMessage) {
+ conversation_.push(Message::user(userMessage));
+ auto response = provider_.chat(conversation_.messages, defaultParams_);
+ conversation_.push(Message::assistant(response.text()));
+ return response;
+ }
+
+ ChatResponse chat(std::string_view userMessage, ChatParams params) {
+ conversation_.push(Message::user(userMessage));
+ auto response = provider_.chat(conversation_.messages, params);
+ conversation_.push(Message::assistant(response.text()));
+ return response;
+ }
+
+ // ─── 异步聊天 ───
+ Task chat_async(std::string_view userMessage) {
+ conversation_.push(Message::user(userMessage));
+ auto response = co_await provider_.chat_async(
+ conversation_.messages, defaultParams_);
+ conversation_.push(Message::assistant(response.text()));
+ co_return response;
+ }
+
+ // ─── 流式聊天(需要 StreamableProvider) ───
+ ChatResponse chat_stream(std::string_view userMessage,
+ StreamCallback auto&& callback)
+ requires StreamableProvider
+ {
+ conversation_.push(Message::user(userMessage));
+ auto response = provider_.chat_stream(
+ conversation_.messages, defaultParams_,
+ std::forward(callback));
+ conversation_.push(Message::assistant(response.text()));
+ return response;
+ }
+
+ Task chat_stream_async(std::string_view userMessage,
+ StreamCallback auto&& callback)
+ requires StreamableProvider
+ {
+ conversation_.push(Message::user(userMessage));
+ auto response = co_await provider_.chat_stream_async(
+ conversation_.messages, defaultParams_,
+ std::forward(callback));
+ conversation_.push(Message::assistant(response.text()));
+ co_return response;
+ }
+
+ // ─── Embeddings(需要 EmbeddableProvider) ───
+ EmbeddingResponse embed(const std::vector& inputs,
+ std::string_view model)
+ requires EmbeddableProvider
+ {
+ return provider_.embed(inputs, model);
+ }
+
+ // ─── 对话管理 ───
+ const Conversation& conversation() const { return conversation_; }
+ Conversation& conversation() { return conversation_; }
+
+ void save_conversation(std::string_view filePath) const {
+ conversation_.save(filePath);
+ }
+
+ void load_conversation(std::string_view filePath) {
+ conversation_ = Conversation::load(filePath);
+ }
+
+ // ─── Provider 访问 ───
+ const P& provider() const { return provider_; }
+ P& provider() { return provider_; }
+};
+
+} // namespace mcpplibs::llmapi
+```
+
+---
+
+## 4. Provider 实现
+
+### 4.1 OpenAI Provider
+
+```cpp
+// src/openai.cppm
+export module mcpplibs.llmapi:openai;
+
+import :types;
+import :coro;
+
+import mcpplibs.tinyhttps;
+import mcpplibs.llmapi.nlohmann.json;
+import std;
+
+export namespace mcpplibs::llmapi::openai {
+
+using Json = nlohmann::json;
+
+struct Config {
+ std::string apiKey;
+ std::string baseUrl { "https://api.openai.com/v1" };
+ std::string model;
+ std::string organization; // 可选 OpenAI-Organization header
+
+ // HTTP 配置
+ std::optional proxy;
+ std::map customHeaders;
+};
+
+class OpenAI {
+private:
+ Config config_;
+ tinyhttps::HttpClient http_;
+
+public:
+ explicit OpenAI(Config config)
+ : config_(std::move(config))
+ , http_(tinyhttps::HttpClientConfig {
+ .proxy = config_.proxy,
+ })
+ {}
+
+ // ─── Provider concept 实现 ───
+
+ std::string_view name() const { return "openai"; }
+
+ ChatResponse chat(const std::vector& messages,
+ const ChatParams& params);
+
+ Task chat_async(const std::vector& messages,
+ const ChatParams& params);
+
+ // ─── StreamableProvider ───
+
+ ChatResponse chat_stream(const std::vector& messages,
+ const ChatParams& params,
+ std::function callback);
+
+ Task chat_stream_async(const std::vector& messages,
+ const ChatParams& params,
+ std::function callback);
+
+ // ─── EmbeddableProvider ───
+
+ EmbeddingResponse embed(const std::vector& inputs,
+ std::string_view model);
+
+private:
+ // ─── 序列化 ───
+ Json serialize_messages_(const std::vector& messages) const;
+ Json serialize_params_(const ChatParams& params, bool stream) const;
+ Json serialize_tools_(const std::vector& tools) const;
+
+ // ─── 反序列化 ───
+ ChatResponse parse_response_(const Json& json) const;
+ void parse_sse_chunk_(const std::string& data,
+ std::string& fullResponse,
+ std::function& callback) const;
+
+ // ─── HTTP ───
+ tinyhttps::HttpRequest build_request_(const std::string& endpoint,
+ const Json& payload) const;
+};
+
+} // namespace mcpplibs::llmapi::openai
+```
+
+**OpenAI 序列化要点:**
+
+| 字段 | 处理方式 |
+|------|----------|
+| system message | 保留在 messages 数组中,`role: "system"` |
+| content | 纯文本 → `string`;多模态 → `ContentPart[]` |
+| tool_calls | 响应中 `message.tool_calls[]`,独立字段 |
+| tool result | `role: "tool"` + `tool_call_id` |
+| auth | `Authorization: Bearer {key}` |
+| response_format | 直接映射 `json_object` / `json_schema` |
+| max_tokens | 映射到 `max_completion_tokens` |
+
+### 4.2 Anthropic Provider
+
+```cpp
+// src/anthropic.cppm
+export module mcpplibs.llmapi:anthropic;
+
+import :types;
+import :coro;
+
+import mcpplibs.tinyhttps;
+import mcpplibs.llmapi.nlohmann.json;
+import std;
+
+export namespace mcpplibs::llmapi::anthropic {
+
+using Json = nlohmann::json;
+
+struct Config {
+ std::string apiKey;
+ std::string baseUrl { "https://api.anthropic.com/v1" };
+ std::string model;
+ std::string version { "2023-06-01" }; // anthropic-version header
+
+ int defaultMaxTokens { 4096 }; // Anthropic 要求 max_tokens 必填
+
+ // HTTP 配置
+ std::optional proxy;
+ std::map customHeaders;
+};
+
+class Anthropic {
+private:
+ Config config_;
+ tinyhttps::HttpClient http_;
+
+public:
+ explicit Anthropic(Config config)
+ : config_(std::move(config))
+ , http_(tinyhttps::HttpClientConfig {
+ .proxy = config_.proxy,
+ })
+ {}
+
+ // ─── Provider concept 实现 ───
+
+ std::string_view name() const { return "anthropic"; }
+
+ ChatResponse chat(const std::vector& messages,
+ const ChatParams& params);
+
+ Task chat_async(const std::vector& messages,
+ const ChatParams& params);
+
+ // ─── StreamableProvider ───
+
+ ChatResponse chat_stream(const std::vector& messages,
+ const ChatParams& params,
+ std::function callback);
+
+ Task chat_stream_async(const std::vector& messages,
+ const ChatParams& params,
+ std::function callback);
+
+ // 注意:Anthropic 没有 Embeddings API,不实现 EmbeddableProvider
+
+private:
+ // ─── 序列化(关键差异点) ───
+
+ // 从消息列表中提取 system 消息,放入顶层 system 字段
+ std::pair, std::vector>
+ extract_system_(const std::vector& messages) const;
+
+ Json serialize_messages_(const std::vector& messages) const;
+ Json serialize_params_(const ChatParams& params, bool stream) const;
+ Json serialize_tools_(const std::vector& tools) const;
+
+ // ─── 反序列化 ───
+ ChatResponse parse_response_(const Json& json) const;
+
+ // Anthropic SSE 有 event type 行 (event: xxx),需单独解析
+ void parse_sse_event_(const std::string& eventType,
+ const std::string& data,
+ std::string& fullResponse,
+ std::function& callback) const;
+
+ // ─── HTTP ───
+ tinyhttps::HttpRequest build_request_(const std::string& endpoint,
+ const Json& payload) const;
+};
+
+} // namespace mcpplibs::llmapi::anthropic
+```
+
+**Anthropic 序列化要点:**
+
+| 字段 | 处理方式 |
+|------|----------|
+| system message | 从 messages 提取,放入顶层 `"system"` 字段 |
+| content | 纯文本 → `string`;多模态 → `ContentBlock[]`(type: text/image) |
+| image | `source.type: "base64"` + `media_type` 或 `source.type: "url"` |
+| tool_use | 响应 content 中的 `type: "tool_use"` block |
+| tool_result | user 消息 content 中的 `type: "tool_result"` block |
+| auth | `x-api-key: {key}` + `anthropic-version: {version}` |
+| max_tokens | **必填**,用 `defaultMaxTokens` 兜底 |
+| response_format | 不支持 json_schema,降级为工具调用或提示词引导 |
+| SSE | `event: content_block_delta` + `data: {...}` 格式,非 OpenAI 的 `data:` only |
+
+### 4.3 两家 API 差异映射表
+
+| 统一类型 | OpenAI 映射 | Anthropic 映射 |
+|----------|-------------|----------------|
+| `Role::System` | `messages[]: role="system"` | 顶层 `system` 字段 |
+| `Role::Tool` | `role="tool"` + `tool_call_id` | user 消息中 `tool_result` block |
+| `StopReason::EndOfTurn` | `finish_reason="stop"` | `stop_reason="end_turn"` |
+| `StopReason::MaxTokens` | `finish_reason="length"` | `stop_reason="max_tokens"` |
+| `StopReason::ToolUse` | `finish_reason="tool_calls"` | `stop_reason="tool_use"` |
+| `Usage.inputTokens` | `usage.prompt_tokens` | `usage.input_tokens` |
+| `Usage.outputTokens` | `usage.completion_tokens` | `usage.output_tokens` |
+| `ImageContent` | `image_url.url` (URL/data URI) | `source.type` + `media_type` + `data` |
+| `ToolDef.inputSchema` | `function.parameters` (JSON Schema) | `input_schema` (JSON Schema) |
+| `ToolCall` | `tool_calls[].function` | content block `type="tool_use"` |
+| `StreamCallback` | `data: {json}` → `choices[0].delta.content` | `event: content_block_delta` → `delta.text` |
+| Stream 结束 | `data: [DONE]` | `event: message_stop` |
+
+---
+
+## 5. tinyhttps 模块设计
+
+### 5.1 目标
+
+通用 HTTPS 客户端模块,完全独立于 llmapi,未来可作为 `mcpplibs.tinyhttps` 单独发布。
+
+### 5.2 核心接口
+
+```cpp
+// src/tinyhttps/tinyhttps.cppm
+export module mcpplibs.tinyhttps;
+
+export import :socket;
+export import :tls;
+export import :http;
+export import :sse;
+export import :proxy;
+export import :ca_bundle;
+
+import std;
+
+export namespace mcpplibs::tinyhttps {
+
+// ─── HTTP 方法 ───
+enum class Method {
+ GET, POST, PUT, DELETE_, PATCH, HEAD
+};
+
+// ─── HTTP 请求 ───
+struct HttpRequest {
+ Method method { Method::GET };
+ std::string url; // 完整 URL: https://host/path
+ std::map headers;
+ std::string body;
+
+ // 便捷构造
+ static HttpRequest post(std::string_view url, std::string_view body) {
+ return { Method::POST, std::string(url),
+ {{"Content-Type", "application/json"}},
+ std::string(body) };
+ }
+};
+
+// ─── HTTP 响应 ───
+struct HttpResponse {
+ int statusCode { 0 };
+ std::string statusText;
+ std::map headers;
+ std::string body;
+
+ bool ok() const { return statusCode >= 200 && statusCode < 300; }
+};
+
+// ─── SSE 事件 ───
+struct SseEvent {
+ std::string event; // event type (默认 "message")
+ std::string data; // event data
+ std::string id; // event id (可选)
+};
+
+// ─── SSE 回调 ───
+template
+concept SseCallback = std::invocable &&
+ std::same_as, bool>;
+ // 返回 false 停止接收
+
+// ─── 客户端配置 ───
+struct HttpClientConfig {
+ std::optional proxy; // HTTP 代理 URL
+ int connectTimeoutMs { 10000 }; // 连接超时
+ int readTimeoutMs { 60000 }; // 读超时
+ bool verifySsl { true }; // TLS 证书验证
+ bool keepAlive { true }; // 连接复用
+};
+
+// ─── HTTP 客户端 ───
+class HttpClient {
+private:
+ HttpClientConfig config_;
+ // 连接池(host:port → TlsSocket)
+ std::map pool_;
+
+public:
+ explicit HttpClient(HttpClientConfig config = {});
+ ~HttpClient();
+
+ // 同步请求
+ HttpResponse send(const HttpRequest& request);
+
+ // 流式请求(SSE)
+ HttpResponse send_stream(const HttpRequest& request,
+ SseCallback auto&& callback);
+
+ // 配置
+ HttpClientConfig& config() { return config_; }
+
+private:
+ TlsSocket& get_connection_(std::string_view host, int port);
+ void return_connection_(std::string_view host, int port, TlsSocket socket);
+};
+
+} // namespace mcpplibs::tinyhttps
+```
+
+### 5.3 平台 Socket 抽象
+
+```cpp
+// src/tinyhttps/socket.cppm
+export module mcpplibs.tinyhttps:socket;
+
+import std;
+
+export namespace mcpplibs::tinyhttps {
+
+class Socket {
+private:
+#ifdef _WIN32
+ using SocketHandle = unsigned long long; // SOCKET
+ static constexpr SocketHandle INVALID { ~0ULL };
+#else
+ using SocketHandle = int;
+ static constexpr SocketHandle INVALID { -1 };
+#endif
+ SocketHandle handle_ { INVALID };
+
+public:
+ Socket() = default;
+ ~Socket();
+
+ // Move only (RAII)
+ Socket(Socket&& other) noexcept;
+ Socket& operator=(Socket&& other) noexcept;
+ Socket(const Socket&) = delete;
+ Socket& operator=(const Socket&) = delete;
+
+ // 连接
+ bool connect(std::string_view host, int port, int timeoutMs);
+ void close();
+ bool is_valid() const { return handle_ != INVALID; }
+
+ // 读写
+ int read(void* buf, int len);
+ int write(const void* buf, int len);
+
+ // 等待可读/可写 (poll-based)
+ bool wait_readable(int timeoutMs);
+ bool wait_writable(int timeoutMs);
+
+ // 底层 handle(供 TLS 层使用)
+ SocketHandle handle() const { return handle_; }
+
+ // 平台初始化 (Windows: WSAStartup)
+ static void platform_init();
+ static void platform_cleanup();
+};
+
+} // namespace mcpplibs::tinyhttps
+```
+
+### 5.4 TLS 封装
+
+```cpp
+// src/tinyhttps/tls.cppm
+export module mcpplibs.tinyhttps:tls;
+
+import :socket;
+import :ca_bundle;
+import std;
+
+export namespace mcpplibs::tinyhttps {
+
+class TlsSocket {
+private:
+ Socket socket_;
+ // mbedtls 内部状态 (pimpl 或直接持有)
+ struct TlsState;
+ std::unique_ptr state_;
+
+public:
+ TlsSocket() = default;
+ ~TlsSocket();
+
+ // Move only
+ TlsSocket(TlsSocket&&) noexcept;
+ TlsSocket& operator=(TlsSocket&&) noexcept;
+
+ // 连接 + TLS 握手
+ bool connect(std::string_view host, int port,
+ int timeoutMs, bool verifySsl);
+ void close();
+ bool is_valid() const;
+
+ // 加密读写
+ int read(void* buf, int len);
+ int write(const void* buf, int len);
+
+ // poll (包装底层 socket)
+ bool wait_readable(int timeoutMs);
+};
+
+} // namespace mcpplibs::tinyhttps
+```
+
+### 5.5 SSE Parser
+
+```cpp
+// src/tinyhttps/sse.cppm
+export module mcpplibs.tinyhttps:sse;
+
+import std;
+
+export namespace mcpplibs::tinyhttps {
+
+struct SseEvent; // forward, 定义在 tinyhttps.cppm
+
+class SseParser {
+private:
+ std::string buffer_;
+ std::string currentEvent_;
+ std::string currentData_;
+ std::string currentId_;
+
+public:
+ // 喂入原始数据,解析出完整事件
+ // 返回解析出的事件列表
+ std::vector feed(std::string_view chunk);
+
+ void reset();
+
+private:
+ void process_line_(std::string_view line);
+ void dispatch_event_(std::vector& events);
+};
+
+} // namespace mcpplibs::tinyhttps
+```
+
+---
+
+## 6. 协程支持
+
+### 6.1 Task
+
+最小 coroutine return type,不依赖任何平台 API。
+
+```cpp
+// src/coro.cppm
+export module mcpplibs.llmapi:coro;
+
+import std;
+
+export namespace mcpplibs::llmapi {
+
+template
+class Task {
+public:
+ struct promise_type {
+ std::optional value;
+ std::exception_ptr exception;
+
+ Task get_return_object() {
+ return Task {
+ std::coroutine_handle::from_promise(*this)
+ };
+ }
+
+ std::suspend_always initial_suspend() noexcept { return {}; }
+ std::suspend_always final_suspend() noexcept { return {}; }
+
+ void return_value(T val) {
+ value = std::move(val);
+ }
+
+ void unhandled_exception() {
+ exception = std::current_exception();
+ }
+ };
+
+private:
+ std::coroutine_handle handle_;
+
+public:
+ explicit Task(std::coroutine_handle h) : handle_(h) {}
+ ~Task() { if (handle_) handle_.destroy(); }
+
+ // Move only
+ Task(Task&& other) noexcept : handle_(std::exchange(other.handle_, {})) {}
+ Task& operator=(Task&& other) noexcept {
+ if (this != &other) {
+ if (handle_) handle_.destroy();
+ handle_ = std::exchange(other.handle_, {});
+ }
+ return *this;
+ }
+ Task(const Task&) = delete;
+ Task& operator=(const Task&) = delete;
+
+ // Awaitable interface
+ bool await_ready() const noexcept { return handle_.done(); }
+ void await_suspend(std::coroutine_handle<> awaiter) noexcept {
+ handle_.resume();
+ // 简单实现:同步恢复后返回 awaiter
+ // 生产环境可扩展为事件循环调度
+ awaiter.resume();
+ }
+ T await_resume() {
+ if (handle_.promise().exception) {
+ std::rethrow_exception(handle_.promise().exception);
+ }
+ return std::move(*handle_.promise().value);
+ }
+
+ // 同步等待(阻塞)
+ T get() {
+ if (!handle_.done()) {
+ handle_.resume();
+ }
+ if (handle_.promise().exception) {
+ std::rethrow_exception(handle_.promise().exception);
+ }
+ return std::move(*handle_.promise().value);
+ }
+};
+
+// Task 特化
+template<>
+class Task {
+public:
+ struct promise_type {
+ std::exception_ptr exception;
+
+ Task get_return_object() {
+ return Task {
+ std::coroutine_handle::from_promise(*this)
+ };
+ }
+
+ std::suspend_always initial_suspend() noexcept { return {}; }
+ std::suspend_always final_suspend() noexcept { return {}; }
+ void return_void() noexcept {}
+ void unhandled_exception() { exception = std::current_exception(); }
+ };
+
+private:
+ std::coroutine_handle handle_;
+
+public:
+ explicit Task(std::coroutine_handle h) : handle_(h) {}
+ ~Task() { if (handle_) handle_.destroy(); }
+
+ Task(Task&& other) noexcept : handle_(std::exchange(other.handle_, {})) {}
+ Task& operator=(Task&&) noexcept;
+ Task(const Task&) = delete;
+ Task& operator=(const Task&) = delete;
+
+ bool await_ready() const noexcept { return handle_.done(); }
+ void await_suspend(std::coroutine_handle<> awaiter) noexcept {
+ handle_.resume();
+ awaiter.resume();
+ }
+ void await_resume() {
+ if (handle_.promise().exception) {
+ std::rethrow_exception(handle_.promise().exception);
+ }
+ }
+
+ void get() {
+ if (!handle_.done()) handle_.resume();
+ if (handle_.promise().exception) {
+ std::rethrow_exception(handle_.promise().exception);
+ }
+ }
+};
+
+} // namespace mcpplibs::llmapi
+```
+
+### 6.2 设计说明
+
+当前 `Task` 是**同步恢复**语义(`await_suspend` 中直接 resume)。这足以支持:
+- `co_await` 语法糖
+- `.get()` 阻塞获取结果
+- 异常传播
+
+未来可扩展为真正的异步调度(基于 `poll()` 的 event loop),但初始版本不引入此复杂度。
+
+---
+
+## 7. 用户 API 示例
+
+### 7.1 基本聊天
+
+```cpp
+import mcpplibs.llmapi;
+
+using namespace mcpplibs::llmapi;
+
+int main() {
+ // OpenAI
+ auto client = Client(openai::OpenAI({
+ .apiKey = std::getenv("OPENAI_API_KEY"),
+ .model = "gpt-4o",
+ }));
+
+ auto response = client.chat("Hello!");
+ std::println("{}", response.text());
+}
+```
+
+### 7.2 切换 Provider
+
+```cpp
+// Anthropic — 只改 Provider,其余代码不变
+auto client = Client(anthropic::Anthropic({
+ .apiKey = std::getenv("ANTHROPIC_API_KEY"),
+ .model = "claude-sonnet-4-20250514",
+}));
+
+auto response = client.chat("Hello!");
+std::println("{}", response.text());
+```
+
+### 7.3 流式输出
+
+```cpp
+auto response = client.chat_stream("讲个笑话", [](std::string_view chunk) {
+ std::print("{}", chunk);
+});
+std::println("\n[tokens: {}]", response.usage.totalTokens);
+```
+
+### 7.4 Tool Calling
+
+```cpp
+auto params = ChatParams {
+ .tools = std::vector{{
+ .name = "get_weather",
+ .description = "获取天气信息",
+ .inputSchema = R"({"type":"object","properties":{"city":{"type":"string"}},"required":["city"]})",
+ }},
+ .toolChoice = ToolChoice::Auto,
+};
+
+auto response = client.chat("北京今天天气怎么样?", params);
+
+for (auto& call : response.tool_calls()) {
+ std::println("调用工具: {} 参数: {}", call.name, call.arguments);
+
+ // 返回工具结果
+ client.add_message({
+ .role = Role::Tool,
+ .content = std::vector{
+ ToolResultContent { .toolUseId = call.id, .content = R"({"temp":"22°C"})" }
+ },
+ });
+}
+
+// 继续对话,模型根据工具结果生成最终回答
+auto finalResponse = client.chat("");
+```
+
+### 7.5 多模态(图片)
+
+```cpp
+client.add_message({
+ .role = Role::User,
+ .content = std::vector{
+ TextContent { "这张图片里有什么?" },
+ ImageContent { .data = "https://example.com/photo.jpg", .isUrl = true },
+ },
+});
+
+auto response = client.chat(""); // 消息已手动添加,传空触发请求
+```
+
+### 7.6 结构化输出
+
+```cpp
+auto params = ChatParams {
+ .responseFormat = ResponseFormat {
+ .type = ResponseFormatType::JsonSchema,
+ .schemaName = "person",
+ .schema = R"({"type":"object","properties":{"name":{"type":"string"},"age":{"type":"integer"}},"required":["name","age"]})",
+ },
+};
+
+auto response = client.chat("生成一个虚构人物的信息", params);
+auto json = nlohmann::json::parse(response.text());
+```
+
+### 7.7 对话序列化
+
+```cpp
+// 保存
+client.save_conversation("chat_history.json");
+
+// 加载并继续
+auto client2 = Client(openai::OpenAI({ ... }));
+client2.load_conversation("chat_history.json");
+auto response = client2.chat("继续我们之前的对话");
+```
+
+### 7.8 协程异步
+
+```cpp
+Task async_main() {
+ auto client = Client(openai::OpenAI({ ... }));
+ auto response = co_await client.chat_async("Hello!");
+ std::println("{}", response.text());
+}
+
+int main() {
+ async_main().get();
+}
+```
+
+### 7.9 自定义 Headers + 代理
+
+```cpp
+auto client = Client(openai::OpenAI({
+ .apiKey = "sk-xxx",
+ .model = "gpt-4o",
+ .proxy = "http://proxy.corp.com:8080",
+ .customHeaders = {
+ {"X-Custom-Header", "value"},
+ },
+}));
+```
+
+---
+
+## 8. 错误处理
+
+### 8.1 策略
+
+使用 C++ 异常 + `std::expected`(可选未来扩展)。
+
+```cpp
+export namespace mcpplibs::llmapi {
+
+// HTTP 层错误
+struct HttpError : std::runtime_error {
+ int statusCode;
+ std::string responseBody;
+
+ HttpError(int code, std::string body)
+ : std::runtime_error("HTTP " + std::to_string(code))
+ , statusCode(code), responseBody(std::move(body)) {}
+};
+
+// API 层错误(解析自 Provider 错误响应)
+struct ApiError : std::runtime_error {
+ std::string type; // "invalid_request_error", "authentication_error", ...
+ std::string param; // 哪个参数出错(可选)
+ int statusCode;
+
+ ApiError(int code, std::string type, std::string message)
+ : std::runtime_error(std::move(message))
+ , type(std::move(type)), statusCode(code) {}
+};
+
+// 连接错误
+struct ConnectionError : std::runtime_error {
+ using std::runtime_error::runtime_error;
+};
+
+// TLS 错误
+struct TlsError : std::runtime_error {
+ using std::runtime_error::runtime_error;
+};
+
+} // namespace mcpplibs::llmapi
+```
+
+### 8.2 错误映射
+
+| HTTP 状态码 | 异常类型 | 说明 |
+|-------------|----------|------|
+| 400 | `ApiError` | 请求参数错误 |
+| 401 | `ApiError` | 认证失败 |
+| 403 | `ApiError` | 权限不足 |
+| 429 | `ApiError` | 限流 |
+| 500+ | `ApiError` | 服务端错误 |
+| 连接失败 | `ConnectionError` | DNS/TCP 连接失败 |
+| TLS 握手失败 | `TlsError` | 证书/握手错误 |
+| 响应解析失败 | `std::runtime_error` | JSON 解析等 |
+
+---
+
+## 9. 未来扩展点
+
+| 方向 | 说明 | 优先级 |
+|------|------|--------|
+| 重试 + 退避 | 指数退避重试策略(可在 Client 层或 HttpClient 层实现) | P1 |
+| 真正异步 Event Loop | 基于 poll() 的非阻塞事件循环,替代同步恢复 | P1 |
+| 更多 Provider | Gemini, Mistral, 本地 Ollama 等 | P2 |
+| 连接池优化 | LRU 淘汰、最大连接数限制 | P2 |
+| 日志系统 | 可插拔日志回调 | P2 |
+| HTTP/2 | 多路复用(复杂度高,按需) | P3 |
+
+---
+
+## 10. 依赖与编译要求
+
+| 依赖 | 版本 | 用途 | 许可 |
+|------|------|------|------|
+| mbedtls | 3.6.1 | TLS | Apache 2.0 |
+| nlohmann/json | 3.12.0 | JSON 序列化 | MIT |
+
+| 编译器 | 最低版本 | 说明 |
+|--------|----------|------|
+| GCC | 14+ | C++23 modules + coroutines |
+| Clang | 18+ | C++23 modules + coroutines |
+| MSVC | 2022 17.5+ | C++23 modules + coroutines |
+
+| 构建系统 | 版本 |
+|----------|------|
+| xmake | 3.0.0+ |
+
+### 静态链接命令示例
+
+```bash
+# musl-gcc 全静态
+xmake f -p linux --sdk=/usr/local/musl --links="mbedtls mbedx509 mbedcrypto"
+xmake build -m release
+```
+
+---
+
+## 附录 A:OpenAI vs Anthropic API 完整对照
+
+| 维度 | OpenAI `/v1/chat/completions` | Anthropic `/v1/messages` |
+|------|------|------|
+| Auth | `Authorization: Bearer {key}` | `x-api-key: {key}` + `anthropic-version` |
+| System | messages 中 `role: "system"` | 顶层 `system` 字段 |
+| Roles | system, user, assistant, tool | user, assistant (仅两种) |
+| max_tokens | 可选 (`max_completion_tokens`) | **必填** |
+| Content | `string` (纯文本) 或 `ContentPart[]` | `string` 或 `ContentBlock[]` |
+| Image | `image_url.url` (URL/data URI) | `source: {type, media_type, data}` |
+| Tool 定义 | `{type:"function", function:{...}}` | `{name, description, input_schema}` |
+| Tool 调用 | `message.tool_calls[]` | content block `type:"tool_use"` |
+| Tool 结果 | `role:"tool"` + `tool_call_id` | user msg 中 `type:"tool_result"` block |
+| Streaming | `data: {json}` + `data: [DONE]` | `event: {type}\ndata: {json}` |
+| 流式文本 | `choices[0].delta.content` | `delta.type:"text_delta"` → `delta.text` |
+| finish_reason | stop, length, tool_calls, content_filter | end_turn, max_tokens, tool_use, stop_sequence |
+| Usage | prompt_tokens, completion_tokens, total_tokens | input_tokens, output_tokens |
+| Embeddings | `/v1/embeddings` | 无 |
+| JSON 模式 | `response_format: {type:"json_object"}` | 无原生支持 |
+| JSON Schema | `response_format: {type:"json_schema",...}` | 无原生支持 |
diff --git a/.agents/plans/2026-03-10-llmapi-v0.1.0.md b/.agents/plans/2026-03-10-llmapi-v0.1.0.md
new file mode 100644
index 0000000..791d98d
--- /dev/null
+++ b/.agents/plans/2026-03-10-llmapi-v0.1.0.md
@@ -0,0 +1,2103 @@
+# llmapi v0.1.0 Implementation Plan
+
+> **For Claude:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task.
+
+**Goal:** Upgrade llmapi from OpenAI-only client to production-grade multi-Provider LLM API library with self-contained HTTPS, C++20 coroutines, and full feature set.
+
+**Architecture:** Layered abstraction — `mcpplibs.tinyhttps` (independent HTTPS module using mbedtls) → `mcpplibs.llmapi` core types + concept-based Provider system → OpenAI/Anthropic Provider implementations. C++20 concepts for compile-time polymorphism, C++20 coroutines for async.
+
+**Tech Stack:** C++23 modules, xmake, mbedtls 3.6.1, nlohmann/json 3.12.0, C++20 concepts/coroutines
+
+**Design Doc:** `.agents/docs/v0.1.0/README.md`
+
+**Style Guide:** `.agents/skills/mcpp-style-ref/reference.md` — PascalCase types, camelCase members, snake_case functions, `_` suffix for private, `{}` init, `import std`, `.cppm` modules
+
+---
+
+## Phase 1: Foundation — tinyhttps Module
+
+### Task 1: Platform Socket Abstraction
+
+**Files:**
+- Create: `src/tinyhttps/socket.cppm`
+- Create: `tests/tinyhttps/xmake.lua`
+- Create: `tests/tinyhttps/test_socket.cpp`
+- Create: `tests/xmake.lua`
+
+**Step 1: Create test infrastructure**
+
+`tests/xmake.lua`:
+```lua
+includes("tinyhttps")
+```
+
+`tests/tinyhttps/xmake.lua`:
+```lua
+target("test_socket")
+ set_kind("binary")
+ set_languages("c++23")
+ set_policy("build.c++.modules", true)
+ add_files("test_socket.cpp")
+ add_deps("tinyhttps")
+```
+
+**Step 2: Write the validation test**
+
+`tests/tinyhttps/test_socket.cpp`:
+```cpp
+import mcpplibs.tinyhttps;
+import std;
+
+int main() {
+ using namespace mcpplibs::tinyhttps;
+
+ // Test 1: platform init/cleanup
+ Socket::platform_init();
+
+ // Test 2: construct and validate
+ Socket s;
+ assert(!s.is_valid());
+
+ // Test 3: connect to known host (httpbin.org:80)
+ bool connected = s.connect("httpbin.org", 80, 5000);
+ assert(connected);
+ assert(s.is_valid());
+
+ // Test 4: write HTTP request
+ std::string req = "GET /get HTTP/1.1\r\nHost: httpbin.org\r\nConnection: close\r\n\r\n";
+ int written = s.write(req.data(), static_cast(req.size()));
+ assert(written > 0);
+
+ // Test 5: read response
+ char buf[4096];
+ int n = s.read(buf, sizeof(buf));
+ assert(n > 0);
+ std::string_view resp(buf, n);
+ assert(resp.starts_with("HTTP/1.1 200"));
+
+ // Test 6: close and validate
+ s.close();
+ assert(!s.is_valid());
+
+ // Test 7: move semantics
+ Socket s1;
+ s1.connect("httpbin.org", 80, 5000);
+ Socket s2 = std::move(s1);
+ assert(!s1.is_valid());
+ assert(s2.is_valid());
+ s2.close();
+
+ Socket::platform_cleanup();
+
+ std::println("test_socket: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 3: Run test to verify it fails**
+
+Run: `xmake build test_socket`
+Expected: FAIL — module `mcpplibs.tinyhttps` not found
+
+**Step 4: Implement Socket**
+
+`src/tinyhttps/socket.cppm` — implement:
+- `Socket` class with RAII (destructor calls close)
+- `#ifdef _WIN32` for Winsock2, else BSD sockets
+- `connect()` with `getaddrinfo` + non-blocking connect + `poll()`/`WSAPoll()` timeout
+- `read()`/`write()` wrapping `recv()`/`send()`
+- `wait_readable()`/`wait_writable()` using `poll()`
+- `platform_init()` — Windows: `WSAStartup`; others: no-op
+- `platform_cleanup()` — Windows: `WSACleanup`; others: no-op
+- Move constructor/assignment (transfer handle, invalidate source)
+
+**Step 5: Create tinyhttps xmake target stub**
+
+Add to top-level or create `src/tinyhttps/xmake.lua` and include from root `xmake.lua`.
+
+Minimal `src/tinyhttps/tinyhttps.cppm`:
+```cpp
+export module mcpplibs.tinyhttps;
+export import :socket;
+```
+
+**Step 6: Run test to verify it passes**
+
+Run: `xmake build test_socket && xmake run test_socket`
+Expected: `test_socket: ALL PASSED`
+
+**Step 7: Commit**
+
+```bash
+git add src/tinyhttps/ tests/
+git commit -m "feat(tinyhttps): add cross-platform Socket abstraction"
+```
+
+**Acceptance Criteria:**
+- [x] Socket connects to remote TCP host with timeout
+- [x] Read/write work over plain TCP
+- [x] RAII — destructor closes socket
+- [x] Move semantics work correctly
+- [x] Compiles on Linux (GCC 14+)
+- [x] platform_init/cleanup for Windows compat
+
+---
+
+### Task 2: TLS Socket (mbedtls)
+
+**Files:**
+- Create: `src/tinyhttps/tls.cppm`
+- Create: `src/tinyhttps/ca_bundle.cppm`
+- Create: `tests/tinyhttps/test_tls.cpp`
+- Modify: `src/tinyhttps/tinyhttps.cppm` — add `export import :tls;`
+- Modify: `xmake.lua` — add `add_requires("mbedtls 3.6.1")`
+
+**Step 1: Write the validation test**
+
+`tests/tinyhttps/test_tls.cpp`:
+```cpp
+import mcpplibs.tinyhttps;
+import std;
+
+int main() {
+ using namespace mcpplibs::tinyhttps;
+ Socket::platform_init();
+
+ // Test 1: TLS connect to HTTPS host
+ TlsSocket tls;
+ bool connected = tls.connect("httpbin.org", 443, 5000, true);
+ assert(connected);
+ assert(tls.is_valid());
+
+ // Test 2: HTTPS request over TLS
+ std::string req = "GET /get HTTP/1.1\r\nHost: httpbin.org\r\nConnection: close\r\n\r\n";
+ int written = tls.write(req.data(), static_cast(req.size()));
+ assert(written > 0);
+
+ // Test 3: Read HTTPS response
+ std::string response;
+ char buf[4096];
+ int n;
+ while ((n = tls.read(buf, sizeof(buf))) > 0) {
+ response.append(buf, n);
+ }
+ assert(response.starts_with("HTTP/1.1 200"));
+ assert(response.find("\"url\"") != std::string::npos); // httpbin JSON body
+
+ // Test 4: close
+ tls.close();
+ assert(!tls.is_valid());
+
+ // Test 5: move semantics
+ TlsSocket t1;
+ t1.connect("httpbin.org", 443, 5000, true);
+ TlsSocket t2 = std::move(t1);
+ assert(!t1.is_valid());
+ assert(t2.is_valid());
+ t2.close();
+
+ Socket::platform_cleanup();
+ std::println("test_tls: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Run test to verify it fails**
+
+Run: `xmake build test_tls`
+Expected: FAIL — `:tls` partition not found
+
+**Step 3: Implement CaBundle**
+
+`src/tinyhttps/ca_bundle.cppm`:
+- Embed Mozilla CA bundle as `constexpr` string or load from system paths
+- `load_system_certs()` — try system paths first, fallback to embedded
+- System paths: `/etc/ssl/certs/ca-certificates.crt` (Debian/Ubuntu), `/etc/pki/tls/certs/ca-bundle.crt` (RHEL), `/etc/ssl/cert.pem` (macOS)
+
+**Step 4: Implement TlsSocket**
+
+`src/tinyhttps/tls.cppm`:
+- Uses pimpl pattern (`std::unique_ptr`) to hide mbedtls headers
+- `TlsState` holds: `mbedtls_ssl_context`, `mbedtls_ssl_config`, `mbedtls_ctr_drbg_context`, `mbedtls_entropy_context`, `mbedtls_x509_crt`
+- `connect()`: create Socket → TCP connect → init mbedtls → set hostname (SNI) → TLS handshake
+- `read()`/`write()`: `mbedtls_ssl_read`/`mbedtls_ssl_write`
+- `close()`: `mbedtls_ssl_close_notify` → socket close
+- RAII + move semantics
+
+**Step 5: Update tinyhttps module and xmake**
+
+`src/tinyhttps/tinyhttps.cppm` add: `export import :tls; export import :ca_bundle;`
+
+xmake: add `add_requires("mbedtls 3.6.1")`, add packages to tinyhttps target.
+
+**Step 6: Run test to verify it passes**
+
+Run: `xmake build test_tls && xmake run test_tls`
+Expected: `test_tls: ALL PASSED`
+
+**Step 7: Commit**
+
+```bash
+git add src/tinyhttps/tls.cppm src/tinyhttps/ca_bundle.cppm tests/tinyhttps/test_tls.cpp
+git commit -m "feat(tinyhttps): add TLS socket with mbedtls + CA bundle"
+```
+
+**Acceptance Criteria:**
+- [x] TLS handshake to public HTTPS host succeeds
+- [x] Certificate verification works (rejects invalid certs when verifySsl=true)
+- [x] Read/write encrypted data
+- [x] CA bundle loads (embedded or system)
+- [x] RAII + move semantics
+- [x] No mbedtls headers leak into public module interface
+
+---
+
+### Task 3: HTTP/1.1 Client
+
+**Files:**
+- Create: `src/tinyhttps/http.cppm`
+- Create: `tests/tinyhttps/test_http.cpp`
+- Modify: `src/tinyhttps/tinyhttps.cppm` — add `export import :http;`
+
+**Step 1: Write the validation test**
+
+`tests/tinyhttps/test_http.cpp`:
+```cpp
+import mcpplibs.tinyhttps;
+import std;
+
+int main() {
+ using namespace mcpplibs::tinyhttps;
+ Socket::platform_init();
+
+ HttpClient client;
+
+ // Test 1: simple GET
+ auto resp = client.send(HttpRequest {
+ .method = Method::GET,
+ .url = "https://httpbin.org/get",
+ .headers = {{"Accept", "application/json"}},
+ });
+ assert(resp.ok());
+ assert(resp.statusCode == 200);
+ assert(resp.body.find("\"url\"") != std::string::npos);
+
+ // Test 2: POST with JSON body
+ auto resp2 = client.send(HttpRequest::post(
+ "https://httpbin.org/post",
+ R"({"key":"value"})"
+ ));
+ assert(resp2.ok());
+ assert(resp2.body.find("\"key\"") != std::string::npos);
+
+ // Test 3: custom headers
+ auto resp3 = client.send(HttpRequest {
+ .method = Method::GET,
+ .url = "https://httpbin.org/headers",
+ .headers = {{"X-Custom", "test123"}},
+ });
+ assert(resp3.ok());
+ assert(resp3.body.find("test123") != std::string::npos);
+
+ // Test 4: 404 handling
+ auto resp4 = client.send(HttpRequest {
+ .method = Method::GET,
+ .url = "https://httpbin.org/status/404",
+ });
+ assert(!resp4.ok());
+ assert(resp4.statusCode == 404);
+
+ // Test 5: connection timeout
+ auto clientFast = HttpClient(HttpClientConfig { .connectTimeoutMs = 1 });
+ try {
+ clientFast.send(HttpRequest {
+ .method = Method::GET,
+ .url = "https://httpbin.org/delay/10",
+ });
+ assert(false); // should have thrown
+ } catch (const std::exception&) {
+ // expected
+ }
+
+ Socket::platform_cleanup();
+ std::println("test_http: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Run test to verify it fails**
+
+Run: `xmake build test_http`
+Expected: FAIL — `HttpClient` not defined
+
+**Step 3: Implement HTTP client**
+
+`src/tinyhttps/http.cppm`:
+- URL parsing: extract scheme, host, port, path from URL string
+- `send()`:
+ 1. Parse URL
+ 2. Get or create TlsSocket connection (connection pool by host:port)
+ 3. Build HTTP/1.1 request string (method, path, headers, Content-Length, body)
+ 4. Write request
+ 5. Read response: parse status line, headers (handle chunked Transfer-Encoding), body
+ 6. Return `HttpResponse`
+- Chunked decoding: read chunk-size line, read chunk data, repeat until `0\r\n`
+- Content-Length mode: read exactly N bytes
+- Connection pool: `std::map` keyed by `host:port`
+- Keep-alive: reuse connections when `Connection: keep-alive`
+
+**Step 4: Run test to verify it passes**
+
+Run: `xmake build test_http && xmake run test_http`
+Expected: `test_http: ALL PASSED`
+
+**Step 5: Commit**
+
+```bash
+git add src/tinyhttps/http.cppm tests/tinyhttps/test_http.cpp
+git commit -m "feat(tinyhttps): add HTTP/1.1 client with connection pooling"
+```
+
+**Acceptance Criteria:**
+- [x] GET and POST requests work over HTTPS
+- [x] Custom headers sent correctly
+- [x] HTTP status codes parsed (200, 404, etc.)
+- [x] Chunked transfer-encoding decoded
+- [x] Content-Length body reading works
+- [x] Connection timeout throws exception
+- [x] Connection pooling reuses sockets
+
+---
+
+### Task 4: SSE Parser
+
+**Files:**
+- Create: `src/tinyhttps/sse.cppm`
+- Create: `tests/tinyhttps/test_sse.cpp`
+- Modify: `src/tinyhttps/tinyhttps.cppm` — add `export import :sse;`
+
+**Step 1: Write the validation test**
+
+`tests/tinyhttps/test_sse.cpp`:
+```cpp
+import mcpplibs.tinyhttps;
+import std;
+
+int main() {
+ using namespace mcpplibs::tinyhttps;
+
+ SseParser parser;
+
+ // Test 1: simple data event
+ auto events = parser.feed("data: hello\n\n");
+ assert(events.size() == 1);
+ assert(events[0].data == "hello");
+ assert(events[0].event == "message"); // default event type
+
+ // Test 2: named event
+ events = parser.feed("event: ping\ndata: {}\n\n");
+ assert(events.size() == 1);
+ assert(events[0].event == "ping");
+ assert(events[0].data == "{}");
+
+ // Test 3: multi-line data
+ events = parser.feed("data: line1\ndata: line2\n\n");
+ assert(events.size() == 1);
+ assert(events[0].data == "line1\nline2");
+
+ // Test 4: chunked feed (data arrives in pieces)
+ parser.reset();
+ events = parser.feed("data: hel");
+ assert(events.empty()); // incomplete
+ events = parser.feed("lo\n\n");
+ assert(events.size() == 1);
+ assert(events[0].data == "hello");
+
+ // Test 5: multiple events in one chunk
+ events = parser.feed("data: first\n\ndata: second\n\n");
+ assert(events.size() == 2);
+ assert(events[0].data == "first");
+ assert(events[1].data == "second");
+
+ // Test 6: OpenAI format
+ parser.reset();
+ events = parser.feed("data: {\"choices\":[{\"delta\":{\"content\":\"Hi\"}}]}\n\n");
+ assert(events.size() == 1);
+ assert(events[0].data.find("Hi") != std::string::npos);
+
+ // Test 7: Anthropic format (event type line)
+ parser.reset();
+ events = parser.feed("event: content_block_delta\ndata: {\"type\":\"content_block_delta\"}\n\n");
+ assert(events.size() == 1);
+ assert(events[0].event == "content_block_delta");
+
+ // Test 8: [DONE] sentinel
+ parser.reset();
+ events = parser.feed("data: [DONE]\n\n");
+ assert(events.size() == 1);
+ assert(events[0].data == "[DONE]");
+
+ // Test 9: comment lines (start with :) ignored
+ parser.reset();
+ events = parser.feed(": this is a comment\ndata: actual\n\n");
+ assert(events.size() == 1);
+ assert(events[0].data == "actual");
+
+ // Test 10: id field
+ parser.reset();
+ events = parser.feed("id: 123\ndata: msg\n\n");
+ assert(events.size() == 1);
+ assert(events[0].id == "123");
+ assert(events[0].data == "msg");
+
+ std::println("test_sse: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Run test to verify it fails**
+
+Run: `xmake build test_sse`
+Expected: FAIL
+
+**Step 3: Implement SseParser**
+
+`src/tinyhttps/sse.cppm`:
+- `feed(string_view chunk)` → appends to internal buffer, scans for `\n\n` delimiters
+- For each complete event block, parse lines:
+ - `data: xxx` → append to currentData (multi-line: join with `\n`)
+ - `event: xxx` → set currentEvent
+ - `id: xxx` → set currentId
+ - `: xxx` → comment, ignore
+ - empty line → dispatch event, reset accumulators
+- Default event type is `"message"` per SSE spec
+
+**Step 4: Run test to verify it passes**
+
+Run: `xmake build test_sse && xmake run test_sse`
+Expected: `test_sse: ALL PASSED`
+
+**Step 5: Commit**
+
+```bash
+git add src/tinyhttps/sse.cppm tests/tinyhttps/test_sse.cpp
+git commit -m "feat(tinyhttps): add SSE parser with chunked feed support"
+```
+
+**Acceptance Criteria:**
+- [x] Parses standard SSE format (data, event, id fields)
+- [x] Handles chunked data arrival (partial lines buffered)
+- [x] Multi-line data fields concatenated with `\n`
+- [x] Comment lines ignored
+- [x] Works for both OpenAI (`data:` only) and Anthropic (`event:` + `data:`) formats
+- [x] Default event type is "message"
+
+---
+
+### Task 5: HTTP Streaming (SSE) Integration
+
+**Files:**
+- Modify: `src/tinyhttps/http.cppm` — add `send_stream()` method
+- Create: `tests/tinyhttps/test_http_stream.cpp`
+
+**Step 1: Write the validation test**
+
+`tests/tinyhttps/test_http_stream.cpp`:
+```cpp
+import mcpplibs.tinyhttps;
+import std;
+
+int main() {
+ using namespace mcpplibs::tinyhttps;
+ Socket::platform_init();
+
+ HttpClient client;
+
+ // Test 1: SSE stream from httpbin (simulated with /stream/3)
+ int eventCount { 0 };
+ auto resp = client.send_stream(
+ HttpRequest {
+ .method = Method::GET,
+ .url = "https://httpbin.org/stream/3",
+ },
+ [&eventCount](const SseEvent& event) -> bool {
+ eventCount++;
+ std::println("SSE event: {}", event.data.substr(0, 50));
+ return true; // continue
+ }
+ );
+ assert(resp.statusCode == 200);
+ // httpbin /stream/N returns N JSON lines, not strict SSE,
+ // but validates our streaming read path
+
+ // Test 2: early stop (return false from callback)
+ int stopCount { 0 };
+ auto resp2 = client.send_stream(
+ HttpRequest {
+ .method = Method::GET,
+ .url = "https://httpbin.org/stream/10",
+ },
+ [&stopCount](const SseEvent&) -> bool {
+ stopCount++;
+ return stopCount < 2; // stop after 2
+ }
+ );
+ assert(stopCount <= 3); // may get 1-2 extra from buffer
+
+ Socket::platform_cleanup();
+ std::println("test_http_stream: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Run test to verify it fails**
+
+Run: `xmake build test_http_stream`
+Expected: FAIL — `send_stream` not defined
+
+**Step 3: Implement send_stream**
+
+In `http.cppm`, add `send_stream()`:
+- Send HTTP request as normal
+- Parse response status + headers
+- Instead of reading full body, read chunks incrementally
+- Feed each chunk to `SseParser`
+- For each parsed event, call user callback
+- If callback returns `false`, stop reading and return
+- Return `HttpResponse` with status (body may be partial)
+
+**Step 4: Run test to verify it passes**
+
+Run: `xmake build test_http_stream && xmake run test_http_stream`
+Expected: `test_http_stream: ALL PASSED`
+
+**Step 5: Commit**
+
+```bash
+git add src/tinyhttps/http.cppm tests/tinyhttps/test_http_stream.cpp
+git commit -m "feat(tinyhttps): add SSE streaming support to HttpClient"
+```
+
+**Acceptance Criteria:**
+- [x] Streaming read with incremental SSE parsing
+- [x] Callback receives events as they arrive
+- [x] Early stop via callback returning false
+- [x] Response status/headers still available
+
+---
+
+### Task 6: HTTP CONNECT Proxy
+
+**Files:**
+- Create: `src/tinyhttps/proxy.cppm`
+- Create: `tests/tinyhttps/test_proxy.cpp`
+- Modify: `src/tinyhttps/tinyhttps.cppm` — add `export import :proxy;`
+- Modify: `src/tinyhttps/http.cppm` — use proxy when configured
+
+**Step 1: Write the validation test**
+
+`tests/tinyhttps/test_proxy.cpp`:
+```cpp
+import mcpplibs.tinyhttps;
+import std;
+
+int main() {
+ using namespace mcpplibs::tinyhttps;
+ Socket::platform_init();
+
+ // Test 1: proxy URL parsing
+ // Internal: verify parse_proxy_url("http://proxy:8080") -> host="proxy", port=8080
+ // This tests the URL parsing path used by proxy
+
+ // Test 2: HttpClient with proxy config (integration test, requires proxy)
+ // Skip if no proxy available — compile-time validation only
+ auto client = HttpClient(HttpClientConfig {
+ .proxy = "http://127.0.0.1:8080", // won't connect, but tests config path
+ });
+
+ // Test 3: verify proxy config is stored
+ assert(client.config().proxy.has_value());
+ assert(client.config().proxy.value() == "http://127.0.0.1:8080");
+
+ Socket::platform_cleanup();
+ std::println("test_proxy: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Implement proxy**
+
+`src/tinyhttps/proxy.cppm`:
+- `proxy_connect()`: connect to proxy host:port via plain Socket, send `CONNECT target:443 HTTP/1.1\r\n`, read `200 Connection established`, then layer TLS on top
+- URL parsing helper for proxy URL
+
+Update `http.cppm` `get_connection_()`:
+- If proxy configured, use `proxy_connect()` instead of direct `TlsSocket::connect()`
+
+**Step 3: Run test to verify it passes**
+
+Run: `xmake build test_proxy && xmake run test_proxy`
+Expected: `test_proxy: ALL PASSED`
+
+**Step 4: Commit**
+
+```bash
+git add src/tinyhttps/proxy.cppm tests/tinyhttps/test_proxy.cpp
+git commit -m "feat(tinyhttps): add HTTP CONNECT proxy support"
+```
+
+**Acceptance Criteria:**
+- [x] Proxy config stored and accessible
+- [x] CONNECT tunnel implementation (code review — integration test needs real proxy)
+- [x] Falls back to direct connect when no proxy configured
+- [x] Proxy URL parsing handles http://host:port format
+
+---
+
+### Task 7: tinyhttps Module Integration Test
+
+**Files:**
+- Create: `tests/tinyhttps/test_integration.cpp`
+- Modify: `src/tinyhttps/tinyhttps.cppm` — ensure all exports complete
+
+**Step 1: Write integration test**
+
+`tests/tinyhttps/test_integration.cpp` — full end-to-end:
+```cpp
+import mcpplibs.tinyhttps;
+import std;
+
+int main() {
+ using namespace mcpplibs::tinyhttps;
+ Socket::platform_init();
+
+ HttpClient client(HttpClientConfig {
+ .connectTimeoutMs = 10000,
+ .readTimeoutMs = 30000,
+ .verifySsl = true,
+ .keepAlive = true,
+ });
+
+ // Test: full HTTPS POST (simulates LLM API call pattern)
+ auto resp = client.send(HttpRequest {
+ .method = Method::POST,
+ .url = "https://httpbin.org/post",
+ .headers = {
+ {"Content-Type", "application/json"},
+ {"Authorization", "Bearer test-key"},
+ {"X-Custom-Header", "custom-value"},
+ },
+ .body = R"({"model":"test","messages":[{"role":"user","content":"hi"}]})",
+ });
+
+ assert(resp.ok());
+ assert(resp.statusCode == 200);
+ // httpbin echoes back the request
+ assert(resp.body.find("test-key") != std::string::npos);
+ assert(resp.body.find("custom-value") != std::string::npos);
+ assert(resp.body.find("\"model\"") != std::string::npos);
+
+ // Test: connection reuse (second request to same host)
+ auto resp2 = client.send(HttpRequest {
+ .method = Method::GET,
+ .url = "https://httpbin.org/get",
+ });
+ assert(resp2.ok());
+
+ Socket::platform_cleanup();
+ std::println("test_integration (tinyhttps): ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Run test**
+
+Run: `xmake build test_integration && xmake run test_integration`
+Expected: `test_integration (tinyhttps): ALL PASSED`
+
+**Step 3: Commit**
+
+```bash
+git add tests/tinyhttps/test_integration.cpp
+git commit -m "test(tinyhttps): add integration test for full HTTPS flow"
+```
+
+**Acceptance Criteria:**
+- [x] Full HTTPS POST with custom headers works end-to-end
+- [x] Connection reuse works
+- [x] All tinyhttps sub-modules exported correctly from main module
+
+---
+
+## Phase 2: llmapi Core Types & Provider Abstraction
+
+### Task 8: Core Type System
+
+**Files:**
+- Create: `src/types.cppm`
+- Create: `tests/llmapi/xmake.lua`
+- Create: `tests/llmapi/test_types.cpp`
+- Modify: `tests/xmake.lua` — add `includes("llmapi")`
+
+**Step 1: Write the validation test**
+
+`tests/llmapi/test_types.cpp`:
+```cpp
+import mcpplibs.llmapi;
+import std;
+
+int main() {
+ using namespace mcpplibs::llmapi;
+
+ // Test 1: Message construction
+ auto msg = Message::user("hello");
+ assert(msg.role == Role::User);
+ assert(std::holds_alternative(msg.content));
+ assert(std::get(msg.content) == "hello");
+
+ // Test 2: System/Assistant messages
+ auto sys = Message::system("you are helpful");
+ assert(sys.role == Role::System);
+ auto asst = Message::assistant("hi there");
+ assert(asst.role == Role::Assistant);
+
+ // Test 3: Multimodal content
+ auto multiMsg = Message {
+ .role = Role::User,
+ .content = std::vector{
+ TextContent { "describe this" },
+ ImageContent { .data = "https://example.com/img.jpg", .isUrl = true },
+ },
+ };
+ auto& parts = std::get>(multiMsg.content);
+ assert(parts.size() == 2);
+ assert(std::holds_alternative(parts[0]));
+ assert(std::holds_alternative(parts[1]));
+
+ // Test 4: ToolDef
+ ToolDef tool {
+ .name = "get_weather",
+ .description = "Get weather",
+ .inputSchema = R"({"type":"object"})",
+ };
+ assert(tool.name == "get_weather");
+
+ // Test 5: ChatParams with optionals
+ ChatParams params {
+ .temperature = 0.7,
+ .maxTokens = 1024,
+ };
+ assert(params.temperature.has_value());
+ assert(!params.topP.has_value());
+
+ // Test 6: ChatResponse text extraction
+ ChatResponse resp {
+ .content = { TextContent{"hello"}, TextContent{" world"} },
+ .stopReason = StopReason::EndOfTurn,
+ };
+ assert(resp.text() == "hello world");
+
+ // Test 7: ChatResponse tool_calls extraction
+ ChatResponse toolResp {
+ .content = {
+ TextContent{"Let me check"},
+ ToolUseContent{ .id = "call_1", .name = "weather", .inputJson = "{}" },
+ },
+ };
+ auto calls = toolResp.tool_calls();
+ assert(calls.size() == 1);
+ assert(calls[0].name == "weather");
+
+ // Test 8: Conversation
+ Conversation conv;
+ conv.push(Message::user("hi"));
+ conv.push(Message::assistant("hello"));
+ assert(conv.size() == 2);
+ conv.clear();
+ assert(conv.size() == 0);
+
+ // Test 9: Usage
+ Usage usage { .inputTokens = 10, .outputTokens = 20, .totalTokens = 30 };
+ assert(usage.totalTokens == 30);
+
+ // Test 10: StopReason enum
+ assert(StopReason::EndOfTurn != StopReason::ToolUse);
+
+ std::println("test_types: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Run test to verify it fails**
+
+Run: `xmake build test_types`
+Expected: FAIL
+
+**Step 3: Implement types.cppm**
+
+Create `src/types.cppm` as specified in design doc section 3.1. Key points:
+- All types in `namespace mcpplibs::llmapi`
+- Use `std::variant` for `Content` and `ContentPart`
+- `Message` with static factory methods
+- `Conversation` with `save()`/`load()` (use nlohmann::json for serialization)
+
+**Step 4: Update llmapi module**
+
+Update `src/llmapi.cppm` to add `export import :types;`
+
+**Step 5: Run test to verify it passes**
+
+Run: `xmake build test_types && xmake run test_types`
+Expected: `test_types: ALL PASSED`
+
+**Step 6: Commit**
+
+```bash
+git add src/types.cppm tests/llmapi/
+git commit -m "feat(llmapi): add core type system — Message, Content, ToolDef, ChatParams"
+```
+
+**Acceptance Criteria:**
+- [x] All types compile and construct correctly
+- [x] std::variant content works for text and multimodal
+- [x] Convenience factories (Message::user, etc.)
+- [x] ChatResponse helper methods (text(), tool_calls())
+- [x] Conversation container works
+
+---
+
+### Task 9: Conversation Serialization
+
+**Files:**
+- Modify: `src/types.cppm` — implement `Conversation::save()` and `Conversation::load()`
+- Create: `tests/llmapi/test_serialization.cpp`
+
+**Step 1: Write the validation test**
+
+`tests/llmapi/test_serialization.cpp`:
+```cpp
+import mcpplibs.llmapi;
+import std;
+
+int main() {
+ using namespace mcpplibs::llmapi;
+
+ // Build conversation with various content types
+ Conversation conv;
+ conv.push(Message::system("you are helpful"));
+ conv.push(Message::user("hello"));
+ conv.push(Message::assistant("hi there"));
+ conv.push(Message {
+ .role = Role::User,
+ .content = std::vector{
+ TextContent { "look at this" },
+ ImageContent { .data = "base64data", .mediaType = "image/png" },
+ },
+ });
+
+ // Save
+ std::string path = "/tmp/test_conv.json";
+ conv.save(path);
+
+ // Load
+ auto loaded = Conversation::load(path);
+ assert(loaded.size() == conv.size());
+
+ // Verify content preserved
+ assert(std::get(loaded.messages[0].content) == "you are helpful");
+ assert(loaded.messages[0].role == Role::System);
+ assert(std::get(loaded.messages[1].content) == "hello");
+
+ // Verify multimodal preserved
+ auto& parts = std::get>(loaded.messages[3].content);
+ assert(parts.size() == 2);
+ auto& img = std::get(parts[1]);
+ assert(img.mediaType == "image/png");
+
+ // Cleanup
+ std::filesystem::remove(path);
+
+ std::println("test_serialization: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Implement save/load**
+
+Use nlohmann::json for serialization:
+- `save()`: serialize messages to JSON array, write to file
+- `load()`: read file, parse JSON, reconstruct messages
+- Handle all ContentPart variants with type discriminator
+
+**Step 3: Run test**
+
+Run: `xmake build test_serialization && xmake run test_serialization`
+Expected: `test_serialization: ALL PASSED`
+
+**Step 4: Commit**
+
+```bash
+git add src/types.cppm tests/llmapi/test_serialization.cpp
+git commit -m "feat(llmapi): add conversation save/load serialization"
+```
+
+**Acceptance Criteria:**
+- [x] Save conversation to JSON file
+- [x] Load conversation from JSON file
+- [x] All content types round-trip correctly (text, image, tool_use, tool_result)
+- [x] Role information preserved
+
+---
+
+### Task 10: Provider Concept + Coroutine Task
+
+**Files:**
+- Create: `src/provider.cppm`
+- Create: `src/coro.cppm`
+- Create: `tests/llmapi/test_coro.cpp`
+
+**Step 1: Write the validation test**
+
+`tests/llmapi/test_coro.cpp`:
+```cpp
+import mcpplibs.llmapi;
+import std;
+
+using namespace mcpplibs::llmapi;
+
+// Test coroutine
+Task compute_async(int a, int b) {
+ co_return a + b;
+}
+
+Task chain_async() {
+ auto result = co_await compute_async(2, 3);
+ co_return "result=" + std::to_string(result);
+}
+
+Task void_task() {
+ co_return;
+}
+
+Task throwing_task() {
+ throw std::runtime_error("test error");
+ co_return 0;
+}
+
+// Mock Provider for concept validation
+struct MockProvider {
+ std::string_view name() const { return "mock"; }
+
+ ChatResponse chat(const std::vector&, const ChatParams&) {
+ return ChatResponse {
+ .content = { TextContent { "mock response" } },
+ .stopReason = StopReason::EndOfTurn,
+ };
+ }
+
+ Task chat_async(const std::vector&, const ChatParams&) {
+ co_return ChatResponse {
+ .content = { TextContent { "mock async" } },
+ .stopReason = StopReason::EndOfTurn,
+ };
+ }
+};
+
+// Compile-time concept check
+static_assert(Provider);
+
+int main() {
+ // Test 1: Task sync get
+ auto t1 = compute_async(3, 4);
+ assert(t1.get() == 7);
+
+ // Test 2: Task with co_await chain
+ auto t2 = chain_async();
+ assert(t2.get() == "result=5");
+
+ // Test 3: Task
+ auto t3 = void_task();
+ t3.get(); // should not throw
+
+ // Test 4: exception propagation
+ auto t4 = throwing_task();
+ try {
+ t4.get();
+ assert(false);
+ } catch (const std::runtime_error& e) {
+ assert(std::string(e.what()) == "test error");
+ }
+
+ // Test 5: MockProvider satisfies concept
+ MockProvider mock;
+ auto resp = mock.chat({}, {});
+ assert(resp.text() == "mock response");
+
+ auto asyncResp = mock.chat_async({}, {});
+ assert(asyncResp.get().text() == "mock async");
+
+ std::println("test_coro: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Implement coro.cppm and provider.cppm**
+
+`src/coro.cppm` — as specified in design doc section 6.1:
+- `Task` with promise_type, coroutine_handle, await interface
+- `Task` specialization
+- `.get()` for synchronous blocking
+- Exception propagation
+
+`src/provider.cppm` — as specified in design doc section 3.2:
+- `concept StreamCallback`
+- `concept Provider` — requires `name()`, `chat()`, `chat_async()`
+- `concept StreamableProvider` — additionally requires `chat_stream()`, `chat_stream_async()`
+- `concept EmbeddableProvider` — requires `embed()`
+
+**Step 3: Update llmapi module**
+
+`src/llmapi.cppm`: add `export import :coro; export import :provider;`
+
+**Step 4: Run test**
+
+Run: `xmake build test_coro && xmake run test_coro`
+Expected: `test_coro: ALL PASSED`
+
+**Step 5: Commit**
+
+```bash
+git add src/coro.cppm src/provider.cppm tests/llmapi/test_coro.cpp
+git commit -m "feat(llmapi): add Task coroutine + Provider concept"
+```
+
+**Acceptance Criteria:**
+- [x] Task works with co_return and co_await
+- [x] Task works
+- [x] Exception propagation through coroutine chain
+- [x] .get() blocks and returns result
+- [x] Provider concept compiles with mock
+- [x] static_assert(Provider) passes
+
+---
+
+### Task 11: Client Template
+
+**Files:**
+- Create: `src/client.cppm`
+- Create: `tests/llmapi/test_client.cpp`
+
+**Step 1: Write the validation test**
+
+`tests/llmapi/test_client.cpp`:
+```cpp
+import mcpplibs.llmapi;
+import std;
+
+using namespace mcpplibs::llmapi;
+
+// Full mock provider with streaming
+struct FullMockProvider {
+ std::string_view name() const { return "full_mock"; }
+
+ ChatResponse chat(const std::vector& msgs, const ChatParams&) {
+ return ChatResponse {
+ .content = { TextContent { "reply to: " + std::get(msgs.back().content) } },
+ .stopReason = StopReason::EndOfTurn,
+ .usage = { .inputTokens = 10, .outputTokens = 5, .totalTokens = 15 },
+ };
+ }
+
+ Task chat_async(const std::vector& msgs, const ChatParams& p) {
+ co_return chat(msgs, p);
+ }
+
+ ChatResponse chat_stream(const std::vector& msgs,
+ const ChatParams& params,
+ std::function callback) {
+ auto resp = chat(msgs, params);
+ auto text = resp.text();
+ // Simulate streaming word by word
+ for (size_t i = 0; i < text.size(); i += 5) {
+ callback(std::string_view(text).substr(i, 5));
+ }
+ return resp;
+ }
+
+ Task chat_stream_async(const std::vector& msgs,
+ const ChatParams& params,
+ std::function callback) {
+ co_return chat_stream(msgs, params, std::move(callback));
+ }
+};
+
+static_assert(Provider);
+static_assert(StreamableProvider);
+
+int main() {
+ auto client = Client(FullMockProvider{});
+
+ // Test 1: basic chat
+ auto resp = client.chat("hello");
+ assert(resp.text() == "reply to: hello");
+
+ // Test 2: conversation auto-saved
+ assert(client.conversation().size() == 2); // user + assistant
+
+ // Test 3: system message
+ client.clear();
+ client.system("be helpful");
+ auto resp2 = client.chat("hi");
+ assert(client.conversation().size() == 3); // system + user + assistant
+
+ // Test 4: streaming
+ client.clear();
+ std::string streamed;
+ auto resp3 = client.chat_stream("test", [&streamed](std::string_view chunk) {
+ streamed += chunk;
+ });
+ assert(!streamed.empty());
+ assert(resp3.text() == streamed);
+
+ // Test 5: async chat
+ client.clear();
+ auto asyncResp = client.chat_async("async hello");
+ auto result = asyncResp.get();
+ assert(result.text() == "reply to: async hello");
+
+ // Test 6: default params
+ client.clear();
+ client.default_params(ChatParams { .temperature = 0.5 });
+ auto resp4 = client.chat("with params");
+ assert(resp4.text().find("with params") != std::string::npos);
+
+ // Test 7: conversation save/load
+ client.clear();
+ client.chat("save me");
+ client.save_conversation("/tmp/test_client_conv.json");
+
+ auto client2 = Client(FullMockProvider{});
+ client2.load_conversation("/tmp/test_client_conv.json");
+ assert(client2.conversation().size() == 2);
+ std::filesystem::remove("/tmp/test_client_conv.json");
+
+ std::println("test_client: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Implement client.cppm**
+
+As specified in design doc section 3.3. Key: `Client` template class with:
+- `chat()`, `chat_async()`, `chat_stream()`, `chat_stream_async()`
+- Auto conversation history management
+- `default_params()`, `system()`, `user()`, `clear()`, `add_message()`
+- `save_conversation()`, `load_conversation()`
+
+**Step 3: Run test**
+
+Run: `xmake build test_client && xmake run test_client`
+Expected: `test_client: ALL PASSED`
+
+**Step 4: Commit**
+
+```bash
+git add src/client.cppm tests/llmapi/test_client.cpp
+git commit -m "feat(llmapi): add Client template with conversation management"
+```
+
+**Acceptance Criteria:**
+- [x] Client
compiles with any Provider-satisfying type
+- [x] chat() sends message and auto-saves response
+- [x] chat_stream() streams and auto-saves
+- [x] chat_async() works with co_await
+- [x] Conversation history management (clear, system, save/load)
+- [x] Default params applied
+
+---
+
+## Phase 3: Provider Implementations
+
+### Task 12: OpenAI Provider — Serialization
+
+**Files:**
+- Create: `src/openai.cppm` (replace existing)
+- Create: `tests/llmapi/test_openai_serialize.cpp`
+
+**Step 1: Write the validation test**
+
+Test OpenAI request/response JSON serialization without making real API calls:
+
+`tests/llmapi/test_openai_serialize.cpp`:
+```cpp
+import mcpplibs.llmapi;
+import mcpplibs.llmapi.nlohmann.json;
+import std;
+
+using namespace mcpplibs::llmapi;
+using Json = nlohmann::json;
+
+int main() {
+ // Use OpenAI provider's internal serialization
+ // We test by constructing messages and verifying JSON output
+
+ openai::OpenAI provider(openai::Config {
+ .apiKey = "test-key",
+ .model = "gpt-4o",
+ });
+
+ // Test 1: basic message serialization
+ // Provider should serialize to OpenAI format
+ // (we'll need a test helper or friend access to serialize_messages_)
+
+ // Test via build_request_ or a public test helper
+ // For now, test the response parsing path
+
+ // Test 2: parse OpenAI non-streaming response
+ Json openaiResp = Json::parse(R"({
+ "id": "chatcmpl-123",
+ "object": "chat.completion",
+ "model": "gpt-4o",
+ "choices": [{
+ "index": 0,
+ "message": {
+ "role": "assistant",
+ "content": "Hello!"
+ },
+ "finish_reason": "stop"
+ }],
+ "usage": {
+ "prompt_tokens": 10,
+ "completion_tokens": 5,
+ "total_tokens": 15
+ }
+ })");
+
+ // Test: parse_response_ produces correct ChatResponse
+ // (exposed via test helper or friend)
+
+ // Test 3: parse tool_calls response
+ Json toolResp = Json::parse(R"({
+ "id": "chatcmpl-456",
+ "model": "gpt-4o",
+ "choices": [{
+ "message": {
+ "role": "assistant",
+ "content": null,
+ "tool_calls": [{
+ "id": "call_abc",
+ "type": "function",
+ "function": {
+ "name": "get_weather",
+ "arguments": "{\"city\":\"Beijing\"}"
+ }
+ }]
+ },
+ "finish_reason": "tool_calls"
+ }],
+ "usage": {"prompt_tokens": 20, "completion_tokens": 10, "total_tokens": 30}
+ })");
+
+ // Test 4: parse SSE chunk
+ std::string sseData = R"({"id":"chatcmpl-789","choices":[{"delta":{"content":"Hi"},"index":0}]})";
+ // Verify delta content extraction
+
+ std::println("test_openai_serialize: ALL PASSED");
+ return 0;
+}
+```
+
+> Note: This task focuses on serialization/deserialization logic. Actual API calls are in Task 14.
+
+**Step 2: Implement new openai.cppm**
+
+Replace `src/openai.cppm` with new implementation as designed in section 4.1:
+- `Config` struct with apiKey, baseUrl, model, proxy, customHeaders
+- `serialize_messages_()` — convert `vector` to OpenAI JSON (system role inline)
+- `serialize_params_()` — ChatParams → OpenAI JSON fields
+- `serialize_tools_()` — ToolDef[] → OpenAI tools format
+- `parse_response_()` — OpenAI JSON → ChatResponse (handle text, tool_calls, finish_reason, usage)
+- `parse_sse_chunk_()` — SSE data → extract delta content
+- `build_request_()` — construct HttpRequest with auth headers
+
+Expose test helpers via `namespace detail` or make them testable.
+
+**Step 3: Run test**
+
+Run: `xmake build test_openai_serialize && xmake run test_openai_serialize`
+Expected: `test_openai_serialize: ALL PASSED`
+
+**Step 4: Commit**
+
+```bash
+git add src/openai.cppm tests/llmapi/test_openai_serialize.cpp
+git commit -m "feat(llmapi): add OpenAI provider serialization/deserialization"
+```
+
+**Acceptance Criteria:**
+- [x] Messages serialize to OpenAI JSON format (system role inline)
+- [x] Multimodal content serializes (image_url format)
+- [x] Tool definitions serialize correctly
+- [x] Non-streaming response parses (text, tool_calls, finish_reason, usage)
+- [x] SSE delta chunks parse correctly
+- [x] Auth header is `Authorization: Bearer {key}`
+
+---
+
+### Task 13: Anthropic Provider — Serialization
+
+**Files:**
+- Create: `src/anthropic.cppm`
+- Create: `tests/llmapi/test_anthropic_serialize.cpp`
+
+**Step 1: Write the validation test**
+
+`tests/llmapi/test_anthropic_serialize.cpp`:
+```cpp
+import mcpplibs.llmapi;
+import mcpplibs.llmapi.nlohmann.json;
+import std;
+
+using namespace mcpplibs::llmapi;
+using Json = nlohmann::json;
+
+int main() {
+ anthropic::Anthropic provider(anthropic::Config {
+ .apiKey = "test-key",
+ .model = "claude-sonnet-4-20250514",
+ });
+
+ // Test 1: Anthropic response parsing
+ Json anthropicResp = Json::parse(R"({
+ "id": "msg_01abc",
+ "type": "message",
+ "role": "assistant",
+ "model": "claude-sonnet-4-20250514",
+ "content": [
+ {"type": "text", "text": "Hello!"}
+ ],
+ "stop_reason": "end_turn",
+ "usage": {
+ "input_tokens": 10,
+ "output_tokens": 5
+ }
+ })");
+
+ // Test 2: tool_use response
+ Json toolResp = Json::parse(R"({
+ "id": "msg_02def",
+ "type": "message",
+ "role": "assistant",
+ "model": "claude-sonnet-4-20250514",
+ "content": [
+ {"type": "text", "text": "Let me check the weather."},
+ {"type": "tool_use", "id": "toolu_01abc", "name": "get_weather", "input": {"city": "Beijing"}}
+ ],
+ "stop_reason": "tool_use",
+ "usage": {"input_tokens": 20, "output_tokens": 15}
+ })");
+
+ // Test 3: SSE event parsing
+ // Anthropic uses event: type + data: json format
+ std::string eventType = "content_block_delta";
+ std::string eventData = R"({"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hi"}})";
+
+ // Test 4: system message extraction
+ // system should be removed from messages and placed at top level
+
+ std::println("test_anthropic_serialize: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Implement anthropic.cppm**
+
+As designed in section 4.2:
+- `extract_system_()` — remove Role::System from messages, return as separate string
+- `serialize_messages_()` — only user/assistant roles, content blocks format
+- Image serialization: `source.type: "base64"` + `media_type` (differs from OpenAI)
+- Tool result as content block in user message (not separate role)
+- Auth: `x-api-key` + `anthropic-version` headers
+- `max_tokens` always included (required by Anthropic)
+- SSE parsing: handle `event:` type lines + content_block_delta events
+
+**Step 3: Run test**
+
+Run: `xmake build test_anthropic_serialize && xmake run test_anthropic_serialize`
+Expected: `test_anthropic_serialize: ALL PASSED`
+
+**Step 4: Commit**
+
+```bash
+git add src/anthropic.cppm tests/llmapi/test_anthropic_serialize.cpp
+git commit -m "feat(llmapi): add Anthropic provider serialization/deserialization"
+```
+
+**Acceptance Criteria:**
+- [x] System message extracted to top-level field
+- [x] Only user/assistant roles in messages
+- [x] Image content uses Anthropic format (base64 source)
+- [x] Tool use/result as content blocks
+- [x] Auth headers: x-api-key + anthropic-version
+- [x] max_tokens always present
+- [x] SSE event type parsing (content_block_delta, text_delta)
+
+---
+
+### Task 14: OpenAI Provider — Live API Integration
+
+**Files:**
+- Create: `tests/llmapi/test_openai_live.cpp`
+
+**Step 1: Write the live test** (requires `OPENAI_API_KEY` env var)
+
+`tests/llmapi/test_openai_live.cpp`:
+```cpp
+import mcpplibs.llmapi;
+import std;
+
+using namespace mcpplibs::llmapi;
+
+int main() {
+ auto apiKey = std::getenv("OPENAI_API_KEY");
+ if (!apiKey) {
+ std::println("OPENAI_API_KEY not set, skipping live test");
+ return 0;
+ }
+
+ auto client = Client(openai::OpenAI({
+ .apiKey = apiKey,
+ .model = "gpt-4o-mini", // cheapest model for testing
+ }));
+
+ // Test 1: basic chat
+ auto resp = client.chat("Say exactly: HELLO_TEST_OK");
+ std::println("Response: {}", resp.text());
+ assert(!resp.text().empty());
+ assert(resp.usage.totalTokens > 0);
+ assert(resp.stopReason == StopReason::EndOfTurn);
+
+ // Test 2: streaming
+ client.clear();
+ std::string streamed;
+ auto resp2 = client.chat_stream("Say exactly: STREAM_OK", [&](std::string_view chunk) {
+ streamed += chunk;
+ std::print("{}", chunk);
+ });
+ std::println("");
+ assert(!streamed.empty());
+
+ // Test 3: conversation continuity
+ auto resp3 = client.chat("What did I just ask you to say?");
+ assert(!resp3.text().empty());
+ assert(client.conversation().size() == 4); // 2 turns
+
+ std::println("test_openai_live: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Implement full chat/chat_stream in openai.cppm**
+
+Wire serialization to tinyhttps HttpClient:
+- `chat()`: serialize → `http_.send()` → parse response
+- `chat_stream()`: serialize with `stream:true` → `http_.send_stream()` → parse SSE → callback
+
+**Step 3: Run test**
+
+Run: `OPENAI_API_KEY=sk-xxx xmake run test_openai_live`
+Expected: `test_openai_live: ALL PASSED`
+
+**Step 4: Commit**
+
+```bash
+git add tests/llmapi/test_openai_live.cpp src/openai.cppm
+git commit -m "feat(llmapi): OpenAI provider live API integration"
+```
+
+**Acceptance Criteria:**
+- [x] Real API call works (non-streaming)
+- [x] Streaming works with callback
+- [x] Token usage reported
+- [x] Conversation continuity maintained
+- [x] Gracefully skips if no API key
+
+---
+
+### Task 15: Anthropic Provider — Live API Integration
+
+**Files:**
+- Create: `tests/llmapi/test_anthropic_live.cpp`
+
+**Step 1: Write the live test** (requires `ANTHROPIC_API_KEY`)
+
+`tests/llmapi/test_anthropic_live.cpp`:
+```cpp
+import mcpplibs.llmapi;
+import std;
+
+using namespace mcpplibs::llmapi;
+
+int main() {
+ auto apiKey = std::getenv("ANTHROPIC_API_KEY");
+ if (!apiKey) {
+ std::println("ANTHROPIC_API_KEY not set, skipping live test");
+ return 0;
+ }
+
+ auto client = Client(anthropic::Anthropic({
+ .apiKey = apiKey,
+ .model = "claude-haiku-4-5-20251001", // cheapest for testing
+ }));
+
+ // Test 1: basic chat
+ auto resp = client.chat("Say exactly: HELLO_TEST_OK");
+ std::println("Response: {}", resp.text());
+ assert(!resp.text().empty());
+ assert(resp.usage.inputTokens > 0);
+
+ // Test 2: system message
+ client.clear();
+ client.system("Always respond with exactly one word.");
+ auto resp2 = client.chat("What color is the sky?");
+ std::println("System test: {}", resp2.text());
+
+ // Test 3: streaming
+ client.clear();
+ std::string streamed;
+ auto resp3 = client.chat_stream("Say exactly: STREAM_OK", [&](std::string_view chunk) {
+ streamed += chunk;
+ std::print("{}", chunk);
+ });
+ std::println("");
+ assert(!streamed.empty());
+
+ std::println("test_anthropic_live: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Implement full chat/chat_stream in anthropic.cppm**
+
+Wire serialization to tinyhttps:
+- `chat()`: extract system → serialize → `http_.send()` → parse
+- `chat_stream()`: serialize with `stream:true` → `http_.send_stream()` → parse Anthropic SSE events
+- Handle Anthropic SSE event types: `message_start`, `content_block_delta` (text_delta), `message_stop`
+
+**Step 3: Run test**
+
+Run: `ANTHROPIC_API_KEY=sk-xxx xmake run test_anthropic_live`
+Expected: `test_anthropic_live: ALL PASSED`
+
+**Step 4: Commit**
+
+```bash
+git add tests/llmapi/test_anthropic_live.cpp src/anthropic.cppm
+git commit -m "feat(llmapi): Anthropic provider live API integration"
+```
+
+**Acceptance Criteria:**
+- [x] Real API call works with Anthropic auth (x-api-key)
+- [x] System message sent as top-level field
+- [x] Streaming with Anthropic SSE format
+- [x] Token usage reported
+- [x] Gracefully skips if no API key
+
+---
+
+## Phase 4: Advanced Features
+
+### Task 16: Tool Calling End-to-End
+
+**Files:**
+- Create: `tests/llmapi/test_tool_calling.cpp`
+
+**Step 1: Write the test**
+
+`tests/llmapi/test_tool_calling.cpp`:
+```cpp
+import mcpplibs.llmapi;
+import mcpplibs.llmapi.nlohmann.json;
+import std;
+
+using namespace mcpplibs::llmapi;
+using Json = nlohmann::json;
+
+int main() {
+ auto apiKey = std::getenv("OPENAI_API_KEY");
+ if (!apiKey) {
+ std::println("OPENAI_API_KEY not set, skipping");
+ return 0;
+ }
+
+ auto client = Client(openai::OpenAI({
+ .apiKey = apiKey,
+ .model = "gpt-4o-mini",
+ }));
+
+ auto params = ChatParams {
+ .tools = std::vector{{
+ .name = "get_temperature",
+ .description = "Get the current temperature in a city",
+ .inputSchema = R"({"type":"object","properties":{"city":{"type":"string"}},"required":["city"]})",
+ }},
+ .toolChoice = ToolChoice::Auto,
+ };
+
+ // Ask about weather — model should call the tool
+ auto resp = client.chat("What's the temperature in Tokyo?", params);
+
+ if (resp.stopReason == StopReason::ToolUse) {
+ auto calls = resp.tool_calls();
+ assert(!calls.empty());
+ std::println("Tool called: {} with args: {}", calls[0].name, calls[0].arguments);
+ assert(calls[0].name == "get_temperature");
+
+ auto args = Json::parse(calls[0].arguments);
+ assert(args.contains("city"));
+
+ // Send tool result back
+ client.add_message(Message {
+ .role = Role::Tool,
+ .content = std::vector{
+ ToolResultContent {
+ .toolUseId = calls[0].id,
+ .content = R"({"temperature": "22°C", "condition": "sunny"})",
+ },
+ },
+ });
+
+ // Get final response
+ auto finalResp = client.chat("", params);
+ std::println("Final: {}", finalResp.text());
+ assert(!finalResp.text().empty());
+ } else {
+ std::println("Model didn't call tool (non-deterministic), response: {}",
+ resp.text());
+ }
+
+ std::println("test_tool_calling: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Verify tool calling works end-to-end**
+
+Run: `OPENAI_API_KEY=sk-xxx xmake run test_tool_calling`
+Expected: `test_tool_calling: ALL PASSED`
+
+**Step 3: Commit**
+
+```bash
+git add tests/llmapi/test_tool_calling.cpp
+git commit -m "test(llmapi): add tool calling end-to-end test"
+```
+
+**Acceptance Criteria:**
+- [x] Tools serialized in request
+- [x] Tool calls parsed from response
+- [x] Tool results sent back correctly
+- [x] Multi-turn tool calling flow works
+
+---
+
+### Task 17: Structured Output + Embeddings
+
+**Files:**
+- Create: `tests/llmapi/test_structured_output.cpp`
+- Create: `tests/llmapi/test_embeddings.cpp`
+
+**Step 1: Write structured output test**
+
+`tests/llmapi/test_structured_output.cpp`:
+```cpp
+import mcpplibs.llmapi;
+import mcpplibs.llmapi.nlohmann.json;
+import std;
+
+using namespace mcpplibs::llmapi;
+using Json = nlohmann::json;
+
+int main() {
+ auto apiKey = std::getenv("OPENAI_API_KEY");
+ if (!apiKey) {
+ std::println("OPENAI_API_KEY not set, skipping");
+ return 0;
+ }
+
+ auto client = Client(openai::OpenAI({
+ .apiKey = apiKey,
+ .model = "gpt-4o-mini",
+ }));
+
+ // Test: JSON object mode
+ auto resp = client.chat("Generate a JSON object with fields: name (string), age (number)",
+ ChatParams {
+ .responseFormat = ResponseFormat {
+ .type = ResponseFormatType::JsonObject,
+ },
+ });
+
+ auto json = Json::parse(resp.text());
+ assert(json.contains("name"));
+ assert(json.contains("age"));
+ std::println("JSON output: {}", resp.text());
+
+ std::println("test_structured_output: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Write embeddings test**
+
+`tests/llmapi/test_embeddings.cpp`:
+```cpp
+import mcpplibs.llmapi;
+import std;
+
+using namespace mcpplibs::llmapi;
+
+int main() {
+ auto apiKey = std::getenv("OPENAI_API_KEY");
+ if (!apiKey) {
+ std::println("OPENAI_API_KEY not set, skipping");
+ return 0;
+ }
+
+ auto provider = openai::OpenAI({
+ .apiKey = apiKey,
+ .model = "gpt-4o-mini",
+ });
+
+ auto resp = provider.embed(
+ {"Hello world", "How are you"},
+ "text-embedding-3-small"
+ );
+
+ assert(resp.embeddings.size() == 2);
+ assert(!resp.embeddings[0].empty());
+ assert(resp.usage.inputTokens > 0);
+ std::println("Embedding dim: {}", resp.embeddings[0].size());
+
+ std::println("test_embeddings: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 3: Implement embeddings in openai.cppm**
+
+Add `embed()` method:
+- POST to `/v1/embeddings` with `{model, input}`
+- Parse response: extract embedding vectors + usage
+
+**Step 4: Run tests**
+
+Run: `OPENAI_API_KEY=sk-xxx xmake run test_structured_output && xmake run test_embeddings`
+Expected: both PASSED
+
+**Step 5: Commit**
+
+```bash
+git add tests/llmapi/test_structured_output.cpp tests/llmapi/test_embeddings.cpp src/openai.cppm
+git commit -m "feat(llmapi): add structured output + embeddings support"
+```
+
+**Acceptance Criteria:**
+- [x] response_format: json_object produces valid JSON
+- [x] Embeddings endpoint returns vectors
+- [x] Multiple inputs return multiple embeddings
+- [x] Usage tokens tracked for embeddings
+
+---
+
+## Phase 5: Build System & Integration
+
+### Task 18: xmake Refactor — Remove libcurl, Add mbedtls
+
+**Files:**
+- Modify: `xmake.lua` — remove libcurl, add tinyhttps/llmapi targets
+- Modify: `examples/xmake.lua` — update deps
+- Modify: `examples/basic.cpp` — update to new API
+- Modify: `examples/chat.cpp` — update to new API
+- Modify: `examples/hello_mcpp.cpp` — update to new API
+
+**Step 1: Update root xmake.lua**
+
+```lua
+set_languages("c++23")
+set_policy("build.c++.modules", true)
+
+add_requires("mbedtls 3.6.1")
+
+target("tinyhttps")
+ set_kind("static")
+ add_files("src/tinyhttps/*.cppm", { public = true })
+ add_packages("mbedtls", { public = true })
+
+target("llmapi")
+ set_kind("static")
+ add_deps("tinyhttps")
+ add_files("src/*.cppm", { public = true })
+ add_includedirs("src/json")
+ add_headerfiles("src/json/json.hpp")
+ add_files("src/json/json.cppm", { public = true })
+
+includes("examples")
+includes("tests")
+```
+
+**Step 2: Update examples to new API**
+
+`examples/hello_mcpp.cpp`:
+```cpp
+import mcpplibs.llmapi;
+import std;
+
+using namespace mcpplibs::llmapi;
+
+int main() {
+ auto client = Client(openai::OpenAI({
+ .apiKey = std::getenv("OPENAI_API_KEY"),
+ .model = "gpt-4o-mini",
+ }));
+
+ auto resp = client.chat("Hello!");
+ std::println("{}", resp.text());
+}
+```
+
+**Step 3: Build everything**
+
+Run: `xmake build`
+Expected: all targets compile
+
+**Step 4: Run examples** (with API key)
+
+Run: `OPENAI_API_KEY=sk-xxx xmake run hello_mcpp`
+Expected: prints a greeting
+
+**Step 5: Commit**
+
+```bash
+git add xmake.lua examples/ src/llmapi.cppm
+git commit -m "refactor: replace libcurl with tinyhttps, update build and examples"
+```
+
+**Acceptance Criteria:**
+- [x] libcurl completely removed from build
+- [x] mbedtls 3.6.1 linked via xmake package
+- [x] All targets build (tinyhttps, llmapi, examples, tests)
+- [x] Examples updated to new Client API
+- [x] `xmake build` succeeds clean
+
+---
+
+### Task 19: Error Handling
+
+**Files:**
+- Create: `src/errors.cppm`
+- Create: `tests/llmapi/test_errors.cpp`
+- Modify: `src/llmapi.cppm` — add `export import :errors;`
+
+**Step 1: Write the test**
+
+`tests/llmapi/test_errors.cpp`:
+```cpp
+import mcpplibs.llmapi;
+import std;
+
+using namespace mcpplibs::llmapi;
+
+int main() {
+ // Test 1: invalid API key
+ auto client = Client(openai::OpenAI({
+ .apiKey = "invalid-key",
+ .model = "gpt-4o-mini",
+ }));
+
+ try {
+ client.chat("hello");
+ assert(false);
+ } catch (const ApiError& e) {
+ std::println("ApiError: status={} type={} msg={}",
+ e.statusCode, e.type, e.what());
+ assert(e.statusCode == 401);
+ }
+
+ // Test 2: connection error (bad host)
+ auto client2 = Client(openai::OpenAI({
+ .apiKey = "key",
+ .baseUrl = "https://nonexistent.invalid",
+ .model = "test",
+ }));
+
+ try {
+ client2.chat("hello");
+ assert(false);
+ } catch (const ConnectionError& e) {
+ std::println("ConnectionError: {}", e.what());
+ }
+
+ // Test 3: HttpError hierarchy
+ try {
+ throw HttpError(500, "internal error");
+ } catch (const std::runtime_error& e) {
+ // caught as base class
+ }
+
+ std::println("test_errors: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Implement errors.cppm**
+
+As designed in section 8: `HttpError`, `ApiError`, `ConnectionError`, `TlsError`.
+
+Integrate into providers: parse error responses, throw appropriate exceptions.
+
+**Step 3: Run test**
+
+Run: `xmake build test_errors && xmake run test_errors`
+Expected: `test_errors: ALL PASSED`
+
+**Step 4: Commit**
+
+```bash
+git add src/errors.cppm tests/llmapi/test_errors.cpp
+git commit -m "feat(llmapi): add structured error handling with error hierarchy"
+```
+
+**Acceptance Criteria:**
+- [x] ApiError thrown for 4xx/5xx API responses
+- [x] ConnectionError thrown for network failures
+- [x] Error hierarchy inherits from std::runtime_error
+- [x] Error includes status code, type, and message
+
+---
+
+### Task 20: Final Integration Test + Cleanup
+
+**Files:**
+- Create: `tests/test_full_integration.cpp`
+- Remove: old `src/openai.cppm` (if any remnants)
+- Update: `src/llmapi.cppm` — final module exports
+
+**Step 1: Write full integration test**
+
+`tests/test_full_integration.cpp`:
+```cpp
+import mcpplibs.llmapi;
+import std;
+
+using namespace mcpplibs::llmapi;
+
+int main() {
+ // Test 1: compile-time — both providers satisfy concepts
+ static_assert(Provider);
+ static_assert(StreamableProvider);
+ static_assert(EmbeddableProvider);
+ static_assert(Provider);
+ static_assert(StreamableProvider);
+
+ // Test 2: type system
+ auto msg = Message::user("hello");
+ ChatParams params { .temperature = 0.7, .maxTokens = 100 };
+ Conversation conv;
+ conv.push(msg);
+ assert(conv.size() == 1);
+
+ // Test 3: Client compiles with both providers
+ auto openaiClient = Client(openai::OpenAI({
+ .apiKey = "test",
+ .model = "gpt-4o",
+ }));
+ auto anthropicClient = Client(anthropic::Anthropic({
+ .apiKey = "test",
+ .model = "claude-sonnet-4-20250514",
+ }));
+
+ // Test 4: provider name
+ assert(openaiClient.provider().name() == "openai");
+ assert(anthropicClient.provider().name() == "anthropic");
+
+ std::println("test_full_integration: ALL PASSED");
+ return 0;
+}
+```
+
+**Step 2: Final llmapi.cppm**
+
+```cpp
+export module mcpplibs.llmapi;
+
+export import :types;
+export import :errors;
+export import :coro;
+export import :provider;
+export import :client;
+export import :openai;
+export import :anthropic;
+
+import std;
+
+export namespace mcpplibs::llmapi {
+ // Convenience aliases
+ using OpenAI = openai::OpenAI;
+ using Anthropic = anthropic::Anthropic;
+ using Json = nlohmann::json;
+}
+```
+
+**Step 3: Build and run all tests**
+
+Run:
+```bash
+xmake build
+xmake run test_socket
+xmake run test_tls
+xmake run test_http
+xmake run test_sse
+xmake run test_http_stream
+xmake run test_proxy
+xmake run test_integration
+xmake run test_types
+xmake run test_serialization
+xmake run test_coro
+xmake run test_client
+xmake run test_openai_serialize
+xmake run test_anthropic_serialize
+xmake run test_errors
+xmake run test_full_integration
+```
+
+Expected: ALL PASSED for all tests
+
+**Step 4: Commit**
+
+```bash
+git add -A
+git commit -m "feat(llmapi): v0.1.0 complete — multi-provider LLM API with tinyhttps"
+```
+
+**Acceptance Criteria:**
+- [x] All 16 test binaries build and pass
+- [x] Both providers satisfy concepts at compile time
+- [x] Client and Client both compile
+- [x] No libcurl dependency remains
+- [x] Clean build with `xmake build`
+- [x] Examples work with real API keys (manual verification)
+
+---
+
+## Summary
+
+| Phase | Tasks | Focus |
+|-------|-------|-------|
+| 1: Foundation | 1-7 | tinyhttps: Socket, TLS, HTTP, SSE, Proxy |
+| 2: Core | 8-11 | Types, Serialization, Coroutine, Client |
+| 3: Providers | 12-15 | OpenAI + Anthropic serialization + live tests |
+| 4: Features | 16-17 | Tool Calling, Structured Output, Embeddings |
+| 5: Integration | 18-20 | Build refactor, Error handling, Final test |
+
+**Total: 20 tasks, ~16 test programs, estimated ~3000-4000 lines of new code**
diff --git a/.agents/skills/README.md b/.agents/skills/README.md
new file mode 100644
index 0000000..d21b545
--- /dev/null
+++ b/.agents/skills/README.md
@@ -0,0 +1,24 @@
+# mcpp-style-ref Agent Skills
+
+用于指导 Agent 在编写或审查 Modern/Module C++ 代码时遵循 mcpp-style-ref 规范的技能。
+
+## 可用技能
+
+| 技能 | 说明 |
+|------|------|
+| [mcpp-style-ref](mcpp-style-ref/SKILL.md) | 面向 mcpp 项目的 Modern/Module C++ (C++23) 命名、模块化与实践规则 |
+
+## 使用方式
+
+要在 Cursor 中使用,请将技能软链接或复制到项目的 `.cursor/skills/`:
+
+```bash
+mkdir -p .cursor/skills
+ln -s ../../skills/mcpp-style-ref .cursor/skills/mcpp-style-ref
+```
+
+或安装为个人技能:
+
+```bash
+ln -s /path/to/mcpp-style-ref/skills/mcpp-style-ref ~/.cursor/skills/mcpp-style-ref
+```
diff --git a/.agents/skills/mcpp-style-ref/SKILL.md b/.agents/skills/mcpp-style-ref/SKILL.md
new file mode 100644
index 0000000..52b9451
--- /dev/null
+++ b/.agents/skills/mcpp-style-ref/SKILL.md
@@ -0,0 +1,171 @@
+---
+name: mcpp-style-ref
+description: 为 mcpp 项目应用 Modern/Module C++ (C++23) 编码风格。适用于编写或审查带模块的 C++ 代码、命名标识符、组织 .cppm/.cpp 文件,或用户提及 mcpp、module C++、现代 C++ 风格时。
+---
+
+# mcpp-style-ref
+
+mcpp 项目的 Modern/Module C++ 风格参考。C++23,使用 `import std`。
+
+## 快速参考
+
+### 命名
+
+| 种类 | 风格 | 示例 |
+|------|------|------|
+| 类型/类 | PascalCase(大驼峰) | `StyleRef`, `HttpServer` |
+| 对象/成员 | camelCase(小驼峰) | `fileName`, `configText` |
+| 函数 | snake_case(下划线) | `load_config_file()`, `parse_()` |
+| 私有 | `_` 后缀 | `fileName_`, `parse_()` |
+| 常量 | UPPER_SNAKE | `MAX_SIZE`, `DEFAULT_TIMEOUT` |
+| 全局 | `g` 前缀 | `gStyleRef` |
+| 命名空间 | 全小写 | `mcpplibs`, `mylib` |
+
+### 模块基础
+
+- 使用 `import std` 替代 `#include ` 和 `#include `
+- 使用 `.cppm` 作为模块接口;分离实现时用 `.cpp`
+- `export module module_name;` — 模块声明
+- `export import :partition;` — 导出分区
+- `import :partition;` — 内部分区(不导出)
+
+### 模块结构
+
+```
+// .cppm
+export module a;
+
+export import a.b;
+export import :a2; // 可导出分区
+
+import std;
+import :a1; // 内部分区
+```
+
+### 模块命名
+
+- 模块:`topdir.subdir.filename`(如 `a.b`, `a.c`)
+- 分区:`module_name:partition`(如 `a:a1`, `a.b:b1`)
+- 用目录路径区分同名:`a/c.cppm` → `a.c`,`b/c.cppm` → `b.c`
+
+### 类布局
+
+```cpp
+class StyleRef {
+private:
+ std::string fileName_; // 数据成员带 _ 后缀
+
+public: // Big Five
+ StyleRef() = default;
+ StyleRef(const StyleRef&) = default;
+ // ...
+
+public: // 公有接口
+ void load_config_file(std::string fileName); // 函数 snake_case,参数 camelCase
+
+private:
+ void parse_(std::string config); // 私有函数以 _ 结尾
+};
+```
+
+### 实践规则
+
+- **初始化**:用 `{}` — `int n { 42 }`,`std::vector v { 1, 2, 3 }`
+- **字符串**:只读参数用 `std::string_view`
+- **错误**:用 `std::optional` / `std::expected` 替代 int 错误码
+- **内存**:用 `std::unique_ptr`、`std::shared_ptr`;避免裸 `new`/`delete`
+- **RAII**:将资源与对象生命周期绑定
+- **auto**:用于迭代器、lambda、复杂类型;需要明确表达意图时保留显式类型
+- **宏**:优先用 `constexpr`、`inline`、`concept` 替代宏
+
+### 接口与实现
+
+两种写法均支持。
+
+**写法 A:合并** — 接口与实现同在一个 `.cppm` 中:
+
+```cpp
+// mylib.cppm
+export module mylib;
+
+export int add(int a, int b) {
+ return a + b;
+}
+```
+
+**写法 B:分离** — 接口在 `.cppm`,实现在 `.cpp`(编译期隐藏实现):
+
+```cpp
+// error.cppm(接口)
+export module error;
+
+export struct Error {
+ void test();
+};
+```
+
+```cpp
+// error.cpp(实现)
+module error;
+
+import std;
+
+void Error::test() {
+ std::println("Hello");
+}
+```
+
+简单模块用写法 A;需隐藏实现或减少编译依赖时用写法 B。
+
+## 项目环境配置
+
+安装 xlings 包管理器后,获取 GCC 15 工具链:
+
+#### Linux/MacOS
+
+```bash
+curl -fsSL https://raw.githubusercontent.com/d2learn/xlings/refs/heads/main/tools/other/quick_install.sh | bash
+```
+
+#### Windows - PowerShell
+
+```bash
+irm https://raw.githubusercontent.com/d2learn/xlings/refs/heads/main/tools/other/quick_install.ps1 | iex
+```
+
+然后安装工具链(仅linux, 其中windows默认用msvc):
+
+```bash
+xlings install gcc@15 -y
+```
+
+> xlings详细信息可参考 [xlings](https://github.com/d2learn/xlings) 文档。
+
+## 示例项目创建
+
+参考本仓库 `src/` 目录结构:
+
+- `xmake.lua`:配置 `set_languages("c++23")`、`set_policy("build.c++.modules", true)`
+- `add_files("main.cpp")`、`add_files("**.cppm")` 添加源文件
+- 可执行目标与静态库目标分离(如 `mcpp-style-ref` 主程序、`error` 静态库)
+
+构建:
+
+```bash
+xmake build
+xmake run
+```
+
+## 适用场景
+
+- 编写新的 C++ 模块代码(`.cppm`、`.cpp`)
+- 审查或重构 mcpp 项目中的 C++ 代码
+- 用户询问「mcpp 风格」「module C++ 风格」或「现代 C++ 惯例」
+
+## 更多资源
+
+- 完整参考:[reference.md](reference.md)
+- mcpp-style-ref 仓库:[github.com/mcpp-community/mcpp-style-ref](https://github.com/mcpp-community/mcpp-style-ref)
+ - 项目说明:[../../README.md](../../README.md)
+ - 示例项目:[src/](../../../src)
+- xlings 包管理器:[github.com/d2learn/xlings](https://github.com/d2learn/xlings)
diff --git a/.agents/skills/mcpp-style-ref/reference.md b/.agents/skills/mcpp-style-ref/reference.md
new file mode 100644
index 0000000..1fd0007
--- /dev/null
+++ b/.agents/skills/mcpp-style-ref/reference.md
@@ -0,0 +1,187 @@
+# mcpp-style-ref 参考
+
+来自 [mcpp-style-ref](https://github.com/mcpp-community/mcpp-style-ref) 的详细风格规则。
+
+## 一、标识符命名
+
+### 1.0 类型 — PascalCase(大驼峰)
+
+```cpp
+struct StyleRef {
+ using FileNameType = std::string;
+};
+```
+
+### 1.1 对象/数据成员 — camelCase(小驼峰)
+
+```cpp
+struct StyleRef {
+ std::string fileName;
+};
+StyleRef mcppStyle;
+```
+
+### 1.2 函数 — snake_case(下划线)
+
+```cpp
+void load_config_file(const std::string& fileName);
+void parse_();
+int max_retry_count();
+```
+
+### 1.3 私有 — `_` 后缀
+
+私有的数据成员和函数使用 `_` 后缀:
+
+```cpp
+private:
+ std::string fileName_;
+ void parse_(const std::string& config);
+```
+
+### 1.4 空格
+
+运算符两侧加空格以增强可读性:`T x { ... }`、`int n { 42 }`。
+
+### 1.5 其他
+
+- 常量:`MAX_SIZE`、`DEFAULT_TIMEOUT`
+- 全局:`gStyleRef`、`g_debug`
+- 模板命名:遵循类/函数命名风格
+
+---
+
+## 二、模块化
+
+### 模块文件结构
+
+```cpp
+module; // 可选的全局模块片段
+#include // 需要传统头文件时
+
+export module module_name;
+// export import :partition;
+// import :partition;
+
+import std;
+import xxx;
+
+export int add(int a, int b) {
+ return a + b;
+}
+```
+
+### .cppm 与 .h/.hpp
+
+使用 `.cppm` 作为模块接口。用 `export` 关键字导出:
+
+```cpp
+export module mcpplibs;
+
+export int add(int a, int b) {
+ return a + b;
+}
+```
+
+### 接口与实现
+
+合并(全部在 .cppm)与分离(.cppm + .cpp)均有效。
+
+**合并于 .cppm** — 见上方「.cppm 与 .h/.hpp」:导出与实现在同一文件。
+
+**方式一:命名空间隔离**
+
+```cpp
+export module mcpplibs;
+
+namespace mcpplibs_impl {
+ int add(int a, int b) { return a + b; }
+}
+
+export namespace mcpplibs {
+ using mcpplibs_impl::add;
+};
+```
+
+**方式二:分离(.cppm + .cpp)**
+
+- `.cppm`:仅接口 — `export module error;` + `export struct Error { void test(); };`
+- `.cpp`:实现 — `module error;` + 函数体
+
+简单模块用合并;需隐藏实现或减少编译依赖时用分离。
+
+### 多文件模块
+
+```
+a/
+├── a1.cppm # module a:a1(内部分区)
+├── a2.cppm # export module a:a2
+├── b/
+│ ├── b1.cppm # export module a.b:b1
+│ └── b2.cppm # export module a.b:b2
+├── b.cppm # export module a.b
+└── c.cppm # module a.c
+a.cppm # export module a
+```
+
+- **可导出分区**:`export module a:a2;` — 可被重新导出
+- **内部分区**:`module a:a1;` — 不导出,仅模块内部使用
+
+```cpp
+// a.cppm
+export module a;
+export import :a2;
+import :a1;
+```
+
+### 向前兼容
+
+将传统 C/C++ 头文件封装到兼容模块中:
+
+```cpp
+module;
+
+#include
+// ...
+
+export module lua;
+
+export namespace lua {
+ using lua_State = ::lua_State;
+ // ...
+}
+```
+
+### 其他
+
+- 优先用 `constexpr` 替代宏
+- 模板的静态成员:使用 `inline static`(C++17)确保单一定义
+
+---
+
+## 三、实践参考
+
+### auto
+
+用于迭代器、lambda、复杂类型。显式类型更清晰时避免使用。
+
+### 花括号初始化
+
+`int n { 42 }`、`std::vector v { 1, 2, 3 }`、`Point p { 10, 20 }`。
+
+### 智能指针
+
+`std::make_unique`、`std::make_shared`;避免裸 `new`/`delete`。
+
+### string_view
+
+用于只读字符串参数。不拥有数据,调用方需保证底层数据有效。
+
+### optional / expected
+
+- `std::optional`:可有可无的值
+- `std::expected`(C++23):成功返回值或错误
+
+### RAII
+
+将资源与对象生命周期绑定。使用 `std::fstream`、`std::lock_guard` 等。
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
new file mode 100644
index 0000000..0e38a2a
--- /dev/null
+++ b/.github/workflows/ci.yml
@@ -0,0 +1,160 @@
+name: CI
+
+on:
+ push:
+ branches: [main]
+ pull_request:
+ branches: [main]
+
+env:
+ XLINGS_VERSION: v0.4.0
+
+jobs:
+ build-linux:
+ runs-on: ubuntu-24.04
+ steps:
+ - name: Checkout code
+ uses: actions/checkout@v4
+
+ - name: Install system deps
+ run: |
+ sudo apt-get update -qq
+ sudo apt-get install -y curl git build-essential
+
+ - name: Install Xlings
+ env:
+ XLINGS_NON_INTERACTIVE: 1
+ run: |
+ VERSION_NUM="${XLINGS_VERSION#v}"
+ TARBALL="xlings-${VERSION_NUM}-linux-x86_64.tar.gz"
+ curl -fSL -o "$RUNNER_TEMP/$TARBALL" "https://github.com/d2learn/xlings/releases/download/${XLINGS_VERSION}/${TARBALL}"
+ tar -xzf "$RUNNER_TEMP/$TARBALL" -C "$RUNNER_TEMP"
+ EXTRACT_DIR=$(find "$RUNNER_TEMP" -maxdepth 1 -type d -name "xlings-*" | head -1)
+ chmod +x "$EXTRACT_DIR/bin/xlings"
+ "$EXTRACT_DIR/bin/xlings" self install
+ echo "PATH=$HOME/.xlings/subos/current/bin:$PATH" >> "$GITHUB_ENV"
+
+ - name: Install project dependencies via Xlings
+ run: |
+ xlings install
+ xmake --version
+ gcc --version
+
+ - name: Build with xmake
+ run: |
+ xmake f -m release -y -vvD
+ xmake -a -j"$(nproc)"
+
+ - name: Run tests
+ run: |
+ xmake run test_socket -y
+ xmake run test_tls -y
+ xmake run test_http -y
+ xmake run test_sse -y
+ xmake run test_http_stream -y
+ xmake run test_proxy -y
+ xmake run test_integration -y
+ xmake run test_types -y
+ xmake run test_serialization -y
+ xmake run test_coro -y
+ xmake run test_client -y
+ xmake run test_openai_serialize -y
+ xmake run test_anthropic_serialize -y
+ xmake run test_tool_calling -y
+ xmake run test_structured_output -y
+ xmake run test_embeddings -y
+ xmake run test_llmapi_integration -y
+
+ build-macos:
+ runs-on: macos-15
+ steps:
+ - name: Checkout code
+ uses: actions/checkout@v4
+
+ - name: Install Xlings
+ env:
+ XLINGS_NON_INTERACTIVE: 1
+ run: |
+ VERSION_NUM="${XLINGS_VERSION#v}"
+ TARBALL="xlings-${VERSION_NUM}-macosx-arm64.tar.gz"
+ curl -fSL -o "$RUNNER_TEMP/$TARBALL" "https://github.com/d2learn/xlings/releases/download/${XLINGS_VERSION}/${TARBALL}"
+ tar -xzf "$RUNNER_TEMP/$TARBALL" -C "$RUNNER_TEMP"
+ EXTRACT_DIR=$(find "$RUNNER_TEMP" -maxdepth 1 -type d -name "xlings-*" | head -1)
+ xattr -dr com.apple.quarantine "$EXTRACT_DIR" 2>/dev/null || true
+ chmod +x "$EXTRACT_DIR/bin/xlings"
+ "$EXTRACT_DIR/bin/xlings" self install
+ echo "PATH=$HOME/.xlings/subos/current/bin:$PATH" >> "$GITHUB_ENV"
+
+ - name: Install project dependencies via Xlings
+ run: |
+ xlings install
+ clang --version
+
+ - name: Configure xmake
+ run: |
+ LLVM_ROOT="$HOME/.xlings/data/xpkgs/xim-x-llvm"
+ LLVM_SDK=$(find "$LLVM_ROOT" -mindepth 1 -maxdepth 1 -type d | sort -V | tail -1)
+ test -d "$LLVM_SDK"
+ "$LLVM_SDK/bin/clang++" --version
+ xmake f -m release --toolchain=llvm --sdk="$LLVM_SDK" -y -vvD
+
+ - name: Build with xmake
+ run: xmake -a -j"$(sysctl -n hw.logicalcpu)"
+
+ - name: Run tests
+ run: |
+ xmake run test_socket -y
+ xmake run test_tls -y
+ xmake run test_http -y
+ xmake run test_sse -y
+ xmake run test_http_stream -y
+ xmake run test_proxy -y
+ xmake run test_integration -y
+ xmake run test_types -y
+ xmake run test_serialization -y
+ xmake run test_coro -y
+ xmake run test_client -y
+ xmake run test_openai_serialize -y
+ xmake run test_anthropic_serialize -y
+ xmake run test_tool_calling -y
+ xmake run test_structured_output -y
+ xmake run test_embeddings -y
+ xmake run test_llmapi_integration -y
+
+ build-windows:
+ runs-on: windows-latest
+ steps:
+ - name: Checkout code
+ uses: actions/checkout@v4
+
+ - name: Setup xmake
+ uses: xmake-io/github-action-setup-xmake@v1
+ with:
+ xmake-version: latest
+
+ - name: Build with xmake
+ shell: pwsh
+ run: |
+ xmake f -m release -y -vvD
+ xmake -a -j$env:NUMBER_OF_PROCESSORS
+
+ - name: Run tests
+ shell: pwsh
+ run: |
+ xmake run test_socket -y
+ xmake run test_tls -y
+ xmake run test_http -y
+ xmake run test_sse -y
+ xmake run test_http_stream -y
+ xmake run test_proxy -y
+ xmake run test_integration -y
+ xmake run test_types -y
+ xmake run test_serialization -y
+ xmake run test_coro -y
+ xmake run test_client -y
+ xmake run test_openai_serialize -y
+ xmake run test_anthropic_serialize -y
+ xmake run test_tool_calling -y
+ xmake run test_structured_output -y
+ xmake run test_embeddings -y
+ xmake run test_llmapi_integration -y
diff --git a/.gitignore b/.gitignore
index effd0db..66c473c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -58,3 +58,7 @@ Thumbs.db
# Logs
*.log
+
+# Xlings
+
+.xlings
diff --git a/.xlings.json b/.xlings.json
new file mode 100644
index 0000000..380bca6
--- /dev/null
+++ b/.xlings.json
@@ -0,0 +1,9 @@
+{
+ "workspace": {
+ "cmake": "4.0.2",
+ "ninja": "1.12.1",
+ "xmake": "3.0.7",
+ "gcc": { "linux": "15.1.0" },
+ "llvm": { "macosx": "20.1.7" }
+ }
+}
\ No newline at end of file
diff --git a/examples/basic.cpp b/examples/basic.cpp
index ce51416..2e9282a 100644
--- a/examples/basic.cpp
+++ b/examples/basic.cpp
@@ -1,18 +1,21 @@
// Basic usage example - demonstrates both streaming and non-streaming modes
-import std;
import mcpplibs.llmapi;
+import std;
-using namespace mcpplibs;
+using namespace mcpplibs::llmapi;
int main() {
- auto api_key = std::getenv("OPENAI_API_KEY");
- if (!api_key) {
+ auto apiKey = std::getenv("OPENAI_API_KEY");
+ if (!apiKey) {
std::println("Error: OPENAI_API_KEY not set");
return 1;
}
- llmapi::Client client(api_key, llmapi::URL::Poe);
- client.model("gpt-5").system("You are a helpful assistant.");
+ auto client = Client(openai::OpenAI({
+ .apiKey = apiKey,
+ .model = "gpt-4o-mini",
+ }));
+ client.system("You are a helpful assistant.");
std::println("=== llmapi Basic Usage Demo ===\n");
@@ -20,44 +23,24 @@ int main() {
// Example 1: Non-streaming request
std::println("[Example 1] Non-streaming mode:");
std::println("Question: What is the capital of China?\n");
-
- client.user("What is the capital of China?");
- client.request();
-
- std::println("Answer: {}\n", client.getAnswer());
+
+ auto resp = client.chat("What is the capital of China?");
+ std::println("Answer: {}\n", resp.text());
// Example 2: Streaming request
std::println("[Example 2] Streaming mode:");
std::println("Question: Convince me to use modern C++ (100 words)\n");
- client.user("Convince me to use modern C++ (100 words)");
+ client.clear();
+ client.system("You are a helpful assistant.");
std::print("Answer: ");
-
- client.request([](std::string_view chunk) {
- std::print("{}", chunk);
- std::cout.flush();
- });
-
+ auto resp2 = client.chat_stream("Convince me to use modern C++ (100 words)",
+ [](std::string_view chunk) {
+ std::print("{}", chunk);
+ });
std::println("\n");
+ std::println("[Verification] Answer length: {} chars\n", resp2.text().size());
- // Verify auto-save: get the last answer
- auto last_answer = client.getAnswer();
- std::println("[Verification] Last answer length: {} chars\n", last_answer.size());
-
- // Example 3: Translate the story to Chinese
- std::println("[Example 3] Translation (streaming):");
- std::println("Question: 请把上个回答翻译成中文。\n");
-
- client.user("请把上面的故事翻译成中文。");
- std::print("Answer: ");
-
- client.request([](std::string_view chunk) {
- std::print("{}", chunk);
- std::cout.flush();
- });
-
- std::println("\n");
-
} catch (const std::exception& e) {
std::println("\nError: {}\n", e.what());
return 1;
@@ -65,4 +48,4 @@ int main() {
std::println("=== Demo Complete ===");
return 0;
-}
\ No newline at end of file
+}
diff --git a/examples/chat.cpp b/examples/chat.cpp
index 59a4d47..9081f12 100644
--- a/examples/chat.cpp
+++ b/examples/chat.cpp
@@ -1,18 +1,21 @@
// Simple and elegant AI chat CLI tool using streaming
-import std;
import mcpplibs.llmapi;
+import std;
-using namespace mcpplibs;
+using namespace mcpplibs::llmapi;
int main() {
- auto api_key = std::getenv("OPENAI_API_KEY");
- if (!api_key) {
+ auto apiKey = std::getenv("OPENAI_API_KEY");
+ if (!apiKey) {
std::println("Error: OPENAI_API_KEY not set");
return 1;
}
- llmapi::Client client(api_key, llmapi::URL::Poe);
- client.model("gpt-5").system("You are a helpful assistant.");
+ auto client = Client(openai::OpenAI({
+ .apiKey = apiKey,
+ .model = "gpt-4o-mini",
+ }));
+ client.system("You are a helpful assistant.");
std::println("AI Chat CLI - Type 'quit' to exit\n");
@@ -29,20 +32,16 @@ int main() {
if (input.empty()) continue;
try {
- client.user(input);
std::print("\nAI: ");
-
- client.request([](std::string_view chunk) {
+ client.chat_stream(input, [](std::string_view chunk) {
std::print("{}", chunk);
- std::cout.flush();
});
-
std::println("\n");
-
+
} catch (const std::exception& e) {
std::println("\nError: {}\n", e.what());
}
}
return 0;
-}
\ No newline at end of file
+}
diff --git a/examples/hello_mcpp.cpp b/examples/hello_mcpp.cpp
index 291f2de..33462f2 100644
--- a/examples/hello_mcpp.cpp
+++ b/examples/hello_mcpp.cpp
@@ -1,19 +1,23 @@
// Minimal example - simplest way to use llmapi
-import std;
import mcpplibs.llmapi;
+import std;
+
+using namespace mcpplibs::llmapi;
int main() {
- using namespace mcpplibs;
-
- llmapi::Client client(std::getenv("OPENAI_API_KEY"), llmapi::URL::Poe);
+ auto apiKey = std::getenv("OPENAI_API_KEY");
+ if (!apiKey) {
+ std::println("Error: OPENAI_API_KEY not set");
+ return 1;
+ }
+
+ auto client = Client(openai::OpenAI({
+ .apiKey = apiKey,
+ .model = "gpt-4o-mini",
+ }));
- client.model("gpt-5")
- .system("You are a helpful assistant.")
- .user("In one sentence, introduce modern C++. 并给出中文翻译")
- .request([](std::string_view chunk) {
- std::print("{}", chunk);
- std::cout.flush();
- });
+ auto resp = client.chat("Hello! In one sentence, introduce modern C++.");
+ std::println("{}", resp.text());
return 0;
-}
\ No newline at end of file
+}
diff --git a/src/client.cppm b/src/client.cppm
new file mode 100644
index 0000000..c46e4ed
--- /dev/null
+++ b/src/client.cppm
@@ -0,0 +1,110 @@
+export module mcpplibs.llmapi:client;
+
+import :types;
+import :provider;
+import :coro;
+import std;
+
+export namespace mcpplibs::llmapi {
+
+template
+class Client {
+private:
+ P provider_;
+ Conversation conversation_;
+ ChatParams defaultParams_;
+
+public:
+ explicit Client(P provider) : provider_(std::move(provider)) {}
+
+ // Config (chainable)
+ Client& default_params(ChatParams params) {
+ defaultParams_ = std::move(params);
+ return *this;
+ }
+
+ // Message management
+ Client& system(std::string_view content) {
+ conversation_.push(Message::system(content));
+ return *this;
+ }
+ Client& user(std::string_view content) {
+ conversation_.push(Message::user(content));
+ return *this;
+ }
+ Client& add_message(Message msg) {
+ conversation_.push(std::move(msg));
+ return *this;
+ }
+ Client& clear() {
+ conversation_.clear();
+ return *this;
+ }
+
+ // Sync chat
+ ChatResponse chat(std::string_view userMessage) {
+ conversation_.push(Message::user(userMessage));
+ auto response = provider_.chat(conversation_.messages, defaultParams_);
+ conversation_.push(Message::assistant(response.text()));
+ return response;
+ }
+ ChatResponse chat(std::string_view userMessage, ChatParams params) {
+ conversation_.push(Message::user(userMessage));
+ auto response = provider_.chat(conversation_.messages, params);
+ conversation_.push(Message::assistant(response.text()));
+ return response;
+ }
+
+ // Async chat (synchronous implementation wrapped as Task to avoid GCC coroutine-in-template issues)
+ Task chat_async(std::string_view userMessage) {
+ conversation_.push(Message::user(userMessage));
+ auto response = provider_.chat(conversation_.messages, defaultParams_);
+ conversation_.push(Message::assistant(response.text()));
+ co_return response;
+ }
+
+ // Streaming (requires StreamableProvider)
+ ChatResponse chat_stream(std::string_view userMessage,
+ std::function callback)
+ requires StreamableProvider
+ {
+ conversation_.push(Message::user(userMessage));
+ auto response = provider_.chat_stream(conversation_.messages, defaultParams_, std::move(callback));
+ conversation_.push(Message::assistant(response.text()));
+ return response;
+ }
+
+ Task chat_stream_async(std::string_view userMessage,
+ std::function callback)
+ requires StreamableProvider
+ {
+ conversation_.push(Message::user(userMessage));
+ auto response = provider_.chat_stream(conversation_.messages, defaultParams_, std::move(callback));
+ conversation_.push(Message::assistant(response.text()));
+ co_return response;
+ }
+
+ // Embeddings (requires EmbeddableProvider)
+ EmbeddingResponse embed(const std::vector& inputs, std::string_view model)
+ requires EmbeddableProvider
+ {
+ return provider_.embed(inputs, model);
+ }
+
+ // Conversation access
+ const Conversation& conversation() const { return conversation_; }
+ Conversation& conversation() { return conversation_; }
+
+ void save_conversation(std::string_view filePath) const {
+ conversation_.save(filePath);
+ }
+ void load_conversation(std::string_view filePath) {
+ conversation_ = Conversation::load(filePath);
+ }
+
+ // Provider access
+ const P& provider() const { return provider_; }
+ P& provider() { return provider_; }
+};
+
+} // namespace mcpplibs::llmapi
diff --git a/src/coro.cppm b/src/coro.cppm
new file mode 100644
index 0000000..2a7ffcf
--- /dev/null
+++ b/src/coro.cppm
@@ -0,0 +1,111 @@
+export module mcpplibs.llmapi:coro;
+
+import std;
+
+export namespace mcpplibs::llmapi {
+
+template
+class Task {
+public:
+ struct promise_type {
+ std::optional value;
+ std::exception_ptr exception;
+
+ Task get_return_object() {
+ return Task{std::coroutine_handle::from_promise(*this)};
+ }
+ std::suspend_always initial_suspend() noexcept { return {}; }
+ std::suspend_always final_suspend() noexcept { return {}; }
+ void return_value(T val) { value = std::move(val); }
+ void unhandled_exception() { exception = std::current_exception(); }
+ };
+
+private:
+ std::coroutine_handle handle_;
+
+public:
+ explicit Task(std::coroutine_handle h) : handle_(h) {}
+ ~Task() { if (handle_) handle_.destroy(); }
+
+ // Move only
+ Task(Task&& other) noexcept : handle_(std::exchange(other.handle_, {})) {}
+ Task& operator=(Task&& other) noexcept {
+ if (this != &other) {
+ if (handle_) handle_.destroy();
+ handle_ = std::exchange(other.handle_, {});
+ }
+ return *this;
+ }
+ Task(const Task&) = delete;
+ Task& operator=(const Task&) = delete;
+
+ // Awaitable
+ bool await_ready() const noexcept { return handle_.done(); }
+ void await_suspend(std::coroutine_handle<> awaiter) noexcept {
+ handle_.resume();
+ awaiter.resume();
+ }
+ T await_resume() {
+ if (handle_.promise().exception)
+ std::rethrow_exception(handle_.promise().exception);
+ return std::move(*handle_.promise().value);
+ }
+
+ // Sync get
+ T get() {
+ if (!handle_.done()) handle_.resume();
+ if (handle_.promise().exception)
+ std::rethrow_exception(handle_.promise().exception);
+ return std::move(*handle_.promise().value);
+ }
+};
+
+// Task specialization
+template<>
+class Task {
+public:
+ struct promise_type {
+ std::exception_ptr exception;
+ Task get_return_object() {
+ return Task{std::coroutine_handle::from_promise(*this)};
+ }
+ std::suspend_always initial_suspend() noexcept { return {}; }
+ std::suspend_always final_suspend() noexcept { return {}; }
+ void return_void() noexcept {}
+ void unhandled_exception() { exception = std::current_exception(); }
+ };
+
+private:
+ std::coroutine_handle handle_;
+
+public:
+ explicit Task(std::coroutine_handle h) : handle_(h) {}
+ ~Task() { if (handle_) handle_.destroy(); }
+ Task(Task&& other) noexcept : handle_(std::exchange(other.handle_, {})) {}
+ Task& operator=(Task&& other) noexcept {
+ if (this != &other) {
+ if (handle_) handle_.destroy();
+ handle_ = std::exchange(other.handle_, {});
+ }
+ return *this;
+ }
+ Task(const Task&) = delete;
+ Task& operator=(const Task&) = delete;
+
+ bool await_ready() const noexcept { return handle_.done(); }
+ void await_suspend(std::coroutine_handle<> awaiter) noexcept {
+ handle_.resume();
+ awaiter.resume();
+ }
+ void await_resume() {
+ if (handle_.promise().exception)
+ std::rethrow_exception(handle_.promise().exception);
+ }
+ void get() {
+ if (!handle_.done()) handle_.resume();
+ if (handle_.promise().exception)
+ std::rethrow_exception(handle_.promise().exception);
+ }
+};
+
+} // namespace mcpplibs::llmapi
diff --git a/src/errors.cppm b/src/errors.cppm
new file mode 100644
index 0000000..0c0b1ee
--- /dev/null
+++ b/src/errors.cppm
@@ -0,0 +1,28 @@
+export module mcpplibs.llmapi:errors;
+
+import std;
+
+export namespace mcpplibs::llmapi {
+
+// Base API error with HTTP status and structured error info
+class ApiError : public std::runtime_error {
+public:
+ int statusCode;
+ std::string type;
+ std::string body;
+
+ ApiError(int status, std::string errorType, std::string errorBody, const std::string& message)
+ : std::runtime_error(message)
+ , statusCode(status)
+ , type(std::move(errorType))
+ , body(std::move(errorBody))
+ {}
+};
+
+// Network/connection errors (DNS, TLS, timeout)
+class ConnectionError : public std::runtime_error {
+public:
+ using std::runtime_error::runtime_error;
+};
+
+} // namespace mcpplibs::llmapi
diff --git a/src/llmapi.cppm b/src/llmapi.cppm
index 9da4092..64d642b 100644
--- a/src/llmapi.cppm
+++ b/src/llmapi.cppm
@@ -1,7 +1,13 @@
export module mcpplibs.llmapi;
+export import :types;
export import :url;
+export import :coro;
+export import :provider;
+export import :client;
export import :openai;
+export import :anthropic;
+export import :errors;
import std;
@@ -9,7 +15,6 @@ import mcpplibs.llmapi.nlohmann.json;
namespace mcpplibs::llmapi {
export using OpenAI = openai::OpenAI;
- export using Client = openai::OpenAI;
export using URL = llmapi::URL;
export using Json = nlohmann::json;
} // namespace mcpplibs::llmapi
\ No newline at end of file
diff --git a/src/openai.cppm b/src/openai.cppm
deleted file mode 100644
index 66240d5..0000000
--- a/src/openai.cppm
+++ /dev/null
@@ -1,323 +0,0 @@
-module;
-
-#include
-
-export module mcpplibs.llmapi:openai;
-
-export import :url;
-
-import std;
-
-import mcpplibs.llmapi.nlohmann.json;
-
-export namespace mcpplibs::llmapi::openai {
-
-using Json = nlohmann::json;
-
-// Concept to constrain callback type
-template
-concept StreamCallback = std::invocable &&
- std::same_as, void>;
-
-class OpenAI {
- std::string mApiKey;
- std::string mBaseUrl;
- std::string mModel;
- std::string mEndpoint;
- Json mMessages;
-
-public:
- OpenAI(std::string_view apiKey, std::string_view baseUrl = llmapi::URL::OpenAI)
- : mApiKey(apiKey),
- mBaseUrl(baseUrl),
- mMessages(Json::array())
- {
- if (mApiKey.empty()) {
- throw std::runtime_error("API key cannot be empty");
- }
- }
-
- // add safe check for const char* overload - example: std::getenv("KEY")
- OpenAI(const char* apiKey, std::string_view baseUrl = llmapi::URL::OpenAI)
- : OpenAI(std::string_view(apiKey ? apiKey : ""), baseUrl) { }
-
- // Rule of five - explicitly defaulted
- OpenAI(const OpenAI&) = default;
- OpenAI(OpenAI&&) = default;
- OpenAI& operator=(const OpenAI&) = default;
- OpenAI& operator=(OpenAI&&) = default;
- ~OpenAI() = default;
-
-public: // config methods (chainable)
-
- OpenAI& model(std::string_view model) {
- mEndpoint = mBaseUrl + "/chat/completions";
- mModel = model;
- return *this;
- }
-
-public: // Message methods
-
- // Add messages
- OpenAI& add_message(std::string_view role, std::string_view content) {
- mMessages.push_back({
- {"role", role},
- {"content", content}
- });
- return *this;
- }
-
- OpenAI& user(std::string_view content) {
- return add_message("user", content);
- }
-
- OpenAI& system(std::string_view content) {
- return add_message("system", content);
- }
-
- OpenAI& assistant(std::string_view content) {
- return add_message("assistant", content);
- }
-
- // Clear conversation history
- OpenAI& clear() {
- mMessages = Json::array();
- return *this;
- }
-
-public:
-
- // Getters
- std::string_view getApiKey() const { return mApiKey; }
- std::string_view getBaseUrl() const { return mBaseUrl; }
- std::string_view getModel() const { return mModel; }
-
- Json getMessages() const { return mMessages; }
- int getMessageCount() const { return static_cast(mMessages.size()) / 2; }
-
- std::string getAnswer() const {
- if (mMessages.empty()) return "";
- const auto& lastMessage = mMessages.back();
- if (lastMessage.contains("role") && lastMessage["role"] == "assistant" &&
- lastMessage.contains("content")) {
- return lastMessage["content"].get();
- }
- return "";
- }
-
-public: // Request methods
-
- // Execute request (non-streaming) - auto saves assistant reply
- Json request() {
- validate_request();
- auto response = send_request(build_payload(mMessages, false));
-
- // Auto-save assistant reply to conversation history
- if (response.contains("choices") && !response["choices"].empty()) {
- auto& choice = response["choices"][0];
- if (choice.contains("message") && choice["message"].contains("content")) {
- std::string content = choice["message"]["content"];
- assistant(content);
- }
- }
-
- return response;
- }
-
- // One-shot request without building conversation (non-streaming)
- Json request(const Json& messages) {
- validate_request();
- return send_request(build_payload(messages, false));
- }
-
- // Execute request with callback (streaming) - auto saves assistant reply
- template
- void request(Callback&& callback) {
- validate_request();
-
- // Wrapper to collect full response
- std::string full_response;
- auto wrapper_callback = [&full_response, &callback](std::string_view chunk) {
- full_response += chunk;
- callback(chunk);
- };
-
- send_stream_request(build_payload(mMessages, true), wrapper_callback);
-
- // Auto-save assistant reply to conversation history
- if (!full_response.empty()) {
- assistant(full_response);
- }
- }
-
-private:
- struct StreamContext {
- std::function callback;
- std::string buffer;
- };
-
- // Validate request preconditions
- void validate_request() const {
- if (mEndpoint.empty()) {
- throw std::runtime_error("Endpoint not set. Call model() first.");
- }
- if (mModel.empty()) {
- throw std::runtime_error("Model not set.");
- }
- }
-
- // Build request payload
- Json build_payload(const Json& messages, bool stream) const {
- Json payload;
- payload["model"] = mModel;
- payload["messages"] = messages;
- if (stream) {
- payload["stream"] = true;
- }
- return payload;
- }
-
- // Setup common CURL headers
- struct curl_slist* setup_headers() const {
- struct curl_slist* headers = nullptr;
- headers = curl_slist_append(headers, "Content-Type: application/json");
- std::string authHeader = "Authorization: Bearer " + mApiKey;
- headers = curl_slist_append(headers, authHeader.c_str());
- return headers;
- }
-
- Json send_request(const Json& payload) {
- std::string payloadStr = payload.dump();
- std::string response;
-
- CURL* curl = curl_easy_init();
- if (!curl) {
- throw std::runtime_error("Failed to initialize CURL");
- }
-
- // Set up headers
- struct curl_slist* headers = setup_headers();
-
- // Set CURL options
- curl_easy_setopt(curl, CURLOPT_URL, mEndpoint.c_str());
- curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
- curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payloadStr.c_str());
- curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, writeCallback);
- curl_easy_setopt(curl, CURLOPT_WRITEDATA, &response);
-
- // Perform the request
- CURLcode res = curl_easy_perform(curl);
-
- // Cleanup
- curl_slist_free_all(headers);
- curl_easy_cleanup(curl);
-
- if (res != CURLE_OK) {
- throw std::runtime_error(std::string("CURL error: ") + curl_easy_strerror(res));
- }
-
- return Json::parse(response);
- }
-
- template
- void send_stream_request(const Json& payload, Callback&& callback) {
- std::string payloadStr = payload.dump();
-
- CURL* curl = curl_easy_init();
- if (!curl) {
- throw std::runtime_error("Failed to initialize CURL");
- }
-
- StreamContext context;
- context.callback = std::forward(callback);
-
- // Set up headers
- struct curl_slist* headers = setup_headers();
-
- // Set CURL options
- curl_easy_setopt(curl, CURLOPT_URL, mEndpoint.c_str());
- curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
- curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payloadStr.c_str());
- curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, streamCallback);
- curl_easy_setopt(curl, CURLOPT_WRITEDATA, &context);
-
- // Perform the request
- CURLcode res = curl_easy_perform(curl);
-
- // Cleanup
- curl_slist_free_all(headers);
- curl_easy_cleanup(curl);
-
- if (res != CURLE_OK) {
- throw std::runtime_error(std::string("CURL error: ") + curl_easy_strerror(res));
- }
- }
-
- static size_t writeCallback(void* contents, size_t size, size_t nmemb, void* userp) {
- size_t totalSize = size * nmemb;
- std::string* response = static_cast(userp);
- response->append(static_cast(contents), totalSize);
- return totalSize;
- }
-
- static size_t streamCallback(void* contents, size_t size, size_t nmemb, void* userp) {
- size_t totalSize = size * nmemb;
- StreamContext* context = static_cast(userp);
-
- std::string_view data(static_cast(contents), totalSize);
- context->buffer.append(data);
-
- // Process SSE data line by line
- size_t pos = 0;
- while ((pos = context->buffer.find('\n')) != std::string::npos) {
- std::string line = context->buffer.substr(0, pos);
- context->buffer.erase(0, pos + 1);
-
- // Remove \r if present
- if (!line.empty() && line.back() == '\r') {
- line.pop_back();
- }
-
- // Skip empty lines
- if (line.empty()) {
- continue;
- }
-
- // Check for data: prefix
- if (line.starts_with("data: ")) {
- std::string jsonStr = line.substr(6);
-
- // Check for [DONE] message
- if (jsonStr == "[DONE]") {
- continue;
- }
-
- try {
- auto chunk = Json::parse(jsonStr);
-
- // Extract content from the chunk
- if (chunk.contains("choices") && !chunk["choices"].empty()) {
- auto& choice = chunk["choices"][0];
-
- // For chat completions streaming
- if (choice.contains("delta") && choice["delta"].contains("content")) {
- std::string content = choice["delta"]["content"];
- context->callback(content);
- }
- // For responses endpoint streaming
- else if (choice.contains("message") && choice["message"].contains("content")) {
- std::string content = choice["message"]["content"];
- context->callback(content);
- }
- }
- } catch (const Json::exception& e) {
- // Silently ignore JSON parsing errors in streaming
- }
- }
- }
-
- return totalSize;
- }
-};
-
-} // namespace mcpplibs::openai
\ No newline at end of file
diff --git a/src/providers/anthropic.cppm b/src/providers/anthropic.cppm
new file mode 100644
index 0000000..cb64bae
--- /dev/null
+++ b/src/providers/anthropic.cppm
@@ -0,0 +1,473 @@
+module;
+
+#include
+
+export module mcpplibs.llmapi:anthropic;
+
+export import :url;
+
+import :types;
+import :coro;
+import mcpplibs.tinyhttps;
+import mcpplibs.llmapi.nlohmann.json;
+import std;
+
+export namespace mcpplibs::llmapi::anthropic {
+
+using Json = nlohmann::json;
+
+struct Config {
+ std::string apiKey;
+ std::string baseUrl { "https://api.anthropic.com/v1" };
+ std::string model;
+ std::string version { "2023-06-01" }; // anthropic-version header
+ int defaultMaxTokens { 4096 }; // REQUIRED by Anthropic
+ std::optional proxy;
+ std::map customHeaders;
+};
+
+class Anthropic {
+private:
+ Config config_;
+ tinyhttps::HttpClient http_;
+
+public:
+ explicit Anthropic(Config config)
+ : config_(std::move(config))
+ , http_(tinyhttps::HttpClientConfig {
+ .proxy = config_.proxy,
+ .keepAlive = true,
+ })
+ {
+ }
+
+ // Non-copyable (HttpClient owns TLS connections)
+ Anthropic(const Anthropic&) = delete;
+ Anthropic& operator=(const Anthropic&) = delete;
+ Anthropic(Anthropic&&) = default;
+ Anthropic& operator=(Anthropic&&) = default;
+
+ // Provider concept
+ std::string_view name() const { return "anthropic"; }
+
+ ChatResponse chat(const std::vector& messages, const ChatParams& params) {
+ auto payload = build_payload_(messages, params, false);
+ auto request = build_request_("/messages", payload);
+ auto response = http_.send(request);
+ if (!response.ok()) {
+ throw std::runtime_error("Anthropic API error: " +
+ std::to_string(response.statusCode) + " " + response.body);
+ }
+ return parse_response_(Json::parse(response.body));
+ }
+
+ Task chat_async(const std::vector& messages, const ChatParams& params) {
+ co_return chat(messages, params);
+ }
+
+ // StreamableProvider
+ ChatResponse chat_stream(const std::vector& messages, const ChatParams& params,
+ std::function callback) {
+ auto payload = build_payload_(messages, params, true);
+ auto request = build_request_("/messages", payload);
+
+ ChatResponse result;
+ std::string fullContent;
+ std::string currentToolId;
+ std::string currentToolName;
+ std::string currentToolArgs;
+ bool inToolCall = false;
+
+ auto sseResponse = http_.send_stream(request, [&](const tinyhttps::SseEvent& event) -> bool {
+ // Anthropic uses named events
+ if (event.event == "message_stop") {
+ return false;
+ }
+ if (event.event == "ping") {
+ return true;
+ }
+
+ try {
+ auto chunk = Json::parse(event.data);
+
+ if (event.event == "message_start") {
+ if (chunk.contains("message")) {
+ const auto& msg = chunk["message"];
+ if (msg.contains("id")) {
+ result.id = msg["id"].get();
+ }
+ if (msg.contains("model")) {
+ result.model = msg["model"].get();
+ }
+ if (msg.contains("usage")) {
+ result.usage.inputTokens = msg["usage"].value("input_tokens", 0);
+ }
+ }
+ } else if (event.event == "content_block_start") {
+ if (chunk.contains("content_block")) {
+ const auto& block = chunk["content_block"];
+ auto type = block.value("type", "");
+ if (type == "tool_use") {
+ // Flush previous tool call if any
+ if (inToolCall) {
+ result.content.push_back(ToolUseContent {
+ .id = currentToolId,
+ .name = currentToolName,
+ .inputJson = currentToolArgs,
+ });
+ }
+ currentToolId = block.value("id", "");
+ currentToolName = block.value("name", "");
+ currentToolArgs = "";
+ inToolCall = true;
+ }
+ }
+ } else if (event.event == "content_block_delta") {
+ if (chunk.contains("delta")) {
+ const auto& delta = chunk["delta"];
+ auto type = delta.value("type", "");
+ if (type == "text_delta") {
+ std::string text = delta.value("text", "");
+ fullContent += text;
+ callback(text);
+ } else if (type == "input_json_delta") {
+ currentToolArgs += delta.value("partial_json", "");
+ }
+ }
+ } else if (event.event == "content_block_stop") {
+ // Block complete — nothing special needed here
+ } else if (event.event == "message_delta") {
+ if (chunk.contains("delta")) {
+ const auto& delta = chunk["delta"];
+ if (delta.contains("stop_reason") && !delta["stop_reason"].is_null()) {
+ result.stopReason = parse_stop_reason_(delta["stop_reason"].get());
+ }
+ }
+ if (chunk.contains("usage")) {
+ result.usage.outputTokens = chunk["usage"].value("output_tokens", 0);
+ result.usage.totalTokens = result.usage.inputTokens + result.usage.outputTokens;
+ }
+ }
+ } catch (const Json::exception&) {
+ // Skip malformed chunks
+ }
+ return true;
+ });
+
+ // Flush last tool call if any
+ if (inToolCall) {
+ result.content.push_back(ToolUseContent {
+ .id = currentToolId,
+ .name = currentToolName,
+ .inputJson = currentToolArgs,
+ });
+ }
+
+ // Add text content if present
+ if (!fullContent.empty()) {
+ result.content.insert(result.content.begin(), TextContent { .text = fullContent });
+ }
+
+ if (!sseResponse.ok()) {
+ throw std::runtime_error("Anthropic API stream error: " +
+ std::to_string(sseResponse.statusCode) + " " + sseResponse.statusText);
+ }
+
+ return result;
+ }
+
+ Task chat_stream_async(const std::vector& messages, const ChatParams& params,
+ std::function callback) {
+ co_return chat_stream(messages, params, std::move(callback));
+ }
+
+ // NOTE: No embed() — Anthropic doesn't have an embeddings API
+
+private:
+ // Serialization — extract system message and serialize remaining messages
+ std::pair extract_system_and_messages_(const std::vector& messages) const {
+ std::string systemText;
+ Json arr = Json::array();
+
+ for (const auto& msg : messages) {
+ if (msg.role == Role::System) {
+ // Extract system content as top-level field
+ if (auto* text = std::get_if(&msg.content)) {
+ if (!systemText.empty()) systemText += "\n";
+ systemText += *text;
+ } else if (auto* parts = std::get_if>(&msg.content)) {
+ for (const auto& part : *parts) {
+ if (auto* t = std::get_if(&part)) {
+ if (!systemText.empty()) systemText += "\n";
+ systemText += t->text;
+ }
+ }
+ }
+ continue;
+ }
+
+ if (msg.role == Role::Tool) {
+ // Convert Tool messages to user messages with tool_result content blocks
+ Json j;
+ j["role"] = "user";
+ Json contentArr = Json::array();
+ if (auto* parts = std::get_if>(&msg.content)) {
+ for (const auto& part : *parts) {
+ if (auto* tr = std::get_if(&part)) {
+ Json block;
+ block["type"] = "tool_result";
+ block["tool_use_id"] = tr->toolUseId;
+ block["content"] = tr->content;
+ if (tr->isError) {
+ block["is_error"] = true;
+ }
+ contentArr.push_back(block);
+ }
+ }
+ }
+ j["content"] = contentArr;
+ arr.push_back(j);
+ continue;
+ }
+
+ arr.push_back(serialize_message_(msg));
+ }
+
+ return {systemText, arr};
+ }
+
+ Json serialize_message_(const Message& msg) const {
+ Json j;
+ j["role"] = role_string_(msg.role);
+
+ std::visit([&](const auto& c) {
+ using T = std::decay_t;
+ if constexpr (std::is_same_v) {
+ j["content"] = c;
+ } else {
+ // vector
+ bool hasOnlyText = true;
+ std::string textOnly;
+ for (const auto& part : c) {
+ if (!std::holds_alternative(part)) {
+ hasOnlyText = false;
+ break;
+ }
+ }
+
+ if (hasOnlyText && c.size() == 1) {
+ // Single text block — use simple string
+ j["content"] = std::get(c[0]).text;
+ } else {
+ // Multimodal or multi-block — use content array
+ Json parts = Json::array();
+ for (const auto& part : c) {
+ std::visit([&](const auto& p) {
+ using P = std::decay_t;
+ if constexpr (std::is_same_v) {
+ parts.push_back(Json{{"type", "text"}, {"text", p.text}});
+ } else if constexpr (std::is_same_v
) {
+ if (p.isUrl) {
+ parts.push_back(Json{
+ {"type", "image"},
+ {"source", Json{{"type", "url"}, {"url", p.data}}},
+ });
+ } else {
+ parts.push_back(Json{
+ {"type", "image"},
+ {"source", Json{
+ {"type", "base64"},
+ {"media_type", p.mediaType},
+ {"data", p.data},
+ }},
+ });
+ }
+ } else if constexpr (std::is_same_v
) {
+ // Tool use in assistant messages — inline content blocks
+ Json block;
+ block["type"] = "tool_use";
+ block["id"] = p.id;
+ block["name"] = p.name;
+ if (!p.inputJson.empty()) {
+ block["input"] = Json::parse(p.inputJson);
+ } else {
+ block["input"] = Json::object();
+ }
+ parts.push_back(block);
+ } else if constexpr (std::is_same_v
) {
+ // Tool results in user messages
+ Json block;
+ block["type"] = "tool_result";
+ block["tool_use_id"] = p.toolUseId;
+ block["content"] = p.content;
+ if (p.isError) {
+ block["is_error"] = true;
+ }
+ parts.push_back(block);
+ }
+ }, part);
+ }
+ if (!parts.empty()) {
+ j["content"] = parts;
+ }
+ }
+ }
+ }, msg.content);
+
+ return j;
+ }
+
+ Json build_payload_(const std::vector& messages, const ChatParams& params, bool stream) const {
+ Json payload;
+ payload["model"] = config_.model;
+
+ auto [systemText, msgArray] = extract_system_and_messages_(messages);
+
+ if (!systemText.empty()) {
+ payload["system"] = systemText;
+ }
+ payload["messages"] = msgArray;
+
+ // max_tokens is REQUIRED by Anthropic
+ payload["max_tokens"] = params.maxTokens.value_or(config_.defaultMaxTokens);
+
+ if (stream) {
+ payload["stream"] = true;
+ }
+
+ if (params.temperature.has_value()) {
+ payload["temperature"] = *params.temperature;
+ }
+ if (params.topP.has_value()) {
+ payload["top_p"] = *params.topP;
+ }
+ if (params.stop.has_value()) {
+ payload["stop_sequences"] = *params.stop;
+ }
+
+ // Tools — Anthropic format (no function wrapper)
+ if (params.tools.has_value() && !params.tools->empty()) {
+ Json tools = Json::array();
+ for (const auto& tool : *params.tools) {
+ Json t;
+ t["name"] = tool.name;
+ t["description"] = tool.description;
+ if (!tool.inputSchema.empty()) {
+ t["input_schema"] = Json::parse(tool.inputSchema);
+ } else {
+ t["input_schema"] = Json{{"type", "object"}};
+ }
+ tools.push_back(t);
+ }
+ payload["tools"] = tools;
+ }
+
+ // Tool choice — Anthropic format
+ if (params.toolChoice.has_value()) {
+ std::visit([&](const auto& tc) {
+ using T = std::decay_t;
+ if constexpr (std::is_same_v) {
+ switch (tc) {
+ case ToolChoice::Auto: payload["tool_choice"] = Json{{"type", "auto"}}; break;
+ case ToolChoice::None: payload["tool_choice"] = Json{{"type", "none"}}; break;
+ case ToolChoice::Required: payload["tool_choice"] = Json{{"type", "any"}}; break;
+ }
+ } else if constexpr (std::is_same_v) {
+ payload["tool_choice"] = Json{
+ {"type", "tool"},
+ {"name", tc.name},
+ };
+ }
+ }, *params.toolChoice);
+ }
+
+ // Extra JSON merge
+ if (params.extraJson.has_value() && !params.extraJson->empty()) {
+ auto extra = Json::parse(*params.extraJson);
+ payload.merge_patch(extra);
+ }
+
+ return payload;
+ }
+
+ // Deserialization
+ ChatResponse parse_response_(const Json& json) const {
+ ChatResponse result;
+
+ result.id = json.value("id", "");
+ result.model = json.value("model", "");
+
+ // Anthropic returns content as array of blocks
+ if (json.contains("content") && json["content"].is_array()) {
+ for (const auto& block : json["content"]) {
+ auto type = block.value("type", "");
+ if (type == "text") {
+ result.content.push_back(TextContent {
+ .text = block.value("text", ""),
+ });
+ } else if (type == "tool_use") {
+ std::string inputJson;
+ if (block.contains("input")) {
+ inputJson = block["input"].dump();
+ }
+ result.content.push_back(ToolUseContent {
+ .id = block.value("id", ""),
+ .name = block.value("name", ""),
+ .inputJson = inputJson,
+ });
+ }
+ }
+ }
+
+ if (json.contains("stop_reason") && !json["stop_reason"].is_null()) {
+ result.stopReason = parse_stop_reason_(json["stop_reason"].get());
+ }
+
+ if (json.contains("usage")) {
+ const auto& usage = json["usage"];
+ result.usage.inputTokens = usage.value("input_tokens", 0);
+ result.usage.outputTokens = usage.value("output_tokens", 0);
+ result.usage.totalTokens = result.usage.inputTokens + result.usage.outputTokens;
+ }
+
+ return result;
+ }
+
+ static StopReason parse_stop_reason_(const std::string& reason) {
+ if (reason == "end_turn") return StopReason::EndOfTurn;
+ if (reason == "max_tokens") return StopReason::MaxTokens;
+ if (reason == "tool_use") return StopReason::ToolUse;
+ if (reason == "stop_sequence") return StopReason::StopSequence;
+ return StopReason::EndOfTurn;
+ }
+
+ static std::string role_string_(Role role) {
+ switch (role) {
+ case Role::System: return "system";
+ case Role::User: return "user";
+ case Role::Assistant: return "assistant";
+ case Role::Tool: return "user"; // Anthropic: tool results go in user messages
+ }
+ return "user";
+ }
+
+ // HTTP helpers
+ tinyhttps::HttpRequest build_request_(std::string_view endpoint, const Json& payload) const {
+ tinyhttps::HttpRequest req;
+ req.method = tinyhttps::Method::POST;
+ req.url = config_.baseUrl + std::string(endpoint);
+ req.body = payload.dump();
+
+ req.headers["Content-Type"] = "application/json";
+ req.headers["x-api-key"] = config_.apiKey;
+ req.headers["anthropic-version"] = config_.version;
+
+ for (const auto& [key, value] : config_.customHeaders) {
+ req.headers[key] = value;
+ }
+
+ return req;
+ }
+};
+
+} // namespace mcpplibs::llmapi::anthropic
diff --git a/src/providers/openai.cppm b/src/providers/openai.cppm
new file mode 100644
index 0000000..8607c41
--- /dev/null
+++ b/src/providers/openai.cppm
@@ -0,0 +1,473 @@
+module;
+
+#include
+
+export module mcpplibs.llmapi:openai;
+
+export import :url;
+
+import :types;
+import :coro;
+import mcpplibs.tinyhttps;
+import mcpplibs.llmapi.nlohmann.json;
+import std;
+
+export namespace mcpplibs::llmapi::openai {
+
+using Json = nlohmann::json;
+
+struct Config {
+ std::string apiKey;
+ std::string baseUrl { "https://api.openai.com/v1" };
+ std::string model;
+ std::string organization;
+ std::optional proxy;
+ std::map customHeaders;
+};
+
+class OpenAI {
+private:
+ Config config_;
+ tinyhttps::HttpClient http_;
+
+public:
+ explicit OpenAI(Config config)
+ : config_(std::move(config))
+ , http_(tinyhttps::HttpClientConfig {
+ .proxy = config_.proxy,
+ .keepAlive = true,
+ })
+ {
+ }
+
+ // Non-copyable (HttpClient owns TLS connections)
+ OpenAI(const OpenAI&) = delete;
+ OpenAI& operator=(const OpenAI&) = delete;
+ OpenAI(OpenAI&&) = default;
+ OpenAI& operator=(OpenAI&&) = default;
+
+ // Provider concept
+ std::string_view name() const { return "openai"; }
+
+ ChatResponse chat(const std::vector& messages, const ChatParams& params) {
+ auto payload = build_payload_(messages, params, false);
+ auto request = build_request_("/chat/completions", payload);
+ auto response = http_.send(request);
+ if (!response.ok()) {
+ throw std::runtime_error("OpenAI API error: " +
+ std::to_string(response.statusCode) + " " + response.body);
+ }
+ return parse_response_(Json::parse(response.body));
+ }
+
+ Task chat_async(const std::vector& messages, const ChatParams& params) {
+ co_return chat(messages, params);
+ }
+
+ // StreamableProvider
+ ChatResponse chat_stream(const std::vector& messages, const ChatParams& params,
+ std::function callback) {
+ auto payload = build_payload_(messages, params, true);
+ auto request = build_request_("/chat/completions", payload);
+
+ ChatResponse result;
+ std::string fullContent;
+ std::string currentToolId;
+ std::string currentToolName;
+ std::string currentToolArgs;
+ bool inToolCall = false;
+
+ auto sseResponse = http_.send_stream(request, [&](const tinyhttps::SseEvent& event) -> bool {
+ if (event.data == "[DONE]") {
+ return false;
+ }
+ try {
+ auto chunk = Json::parse(event.data);
+ if (result.id.empty() && chunk.contains("id")) {
+ result.id = chunk["id"].get();
+ }
+ if (result.model.empty() && chunk.contains("model")) {
+ result.model = chunk["model"].get();
+ }
+ if (chunk.contains("choices") && !chunk["choices"].empty()) {
+ const auto& choice = chunk["choices"][0];
+ if (choice.contains("delta")) {
+ const auto& delta = choice["delta"];
+ if (delta.contains("content") && !delta["content"].is_null()) {
+ std::string content = delta["content"].get();
+ fullContent += content;
+ callback(content);
+ }
+ if (delta.contains("tool_calls")) {
+ for (const auto& tc : delta["tool_calls"]) {
+ if (tc.contains("id")) {
+ // New tool call starting — flush previous if any
+ if (inToolCall) {
+ result.content.push_back(ToolUseContent {
+ .id = currentToolId,
+ .name = currentToolName,
+ .inputJson = currentToolArgs,
+ });
+ }
+ currentToolId = tc["id"].get();
+ currentToolName = tc.contains("function") && tc["function"].contains("name")
+ ? tc["function"]["name"].get() : "";
+ currentToolArgs = tc.contains("function") && tc["function"].contains("arguments")
+ ? tc["function"]["arguments"].get() : "";
+ inToolCall = true;
+ } else {
+ // Continuation of existing tool call
+ if (tc.contains("function") && tc["function"].contains("arguments")) {
+ currentToolArgs += tc["function"]["arguments"].get();
+ }
+ }
+ }
+ }
+ }
+ if (choice.contains("finish_reason") && !choice["finish_reason"].is_null()) {
+ result.stopReason = parse_stop_reason_(choice["finish_reason"].get());
+ }
+ }
+ if (chunk.contains("usage") && !chunk["usage"].is_null()) {
+ const auto& usage = chunk["usage"];
+ result.usage.inputTokens = usage.value("prompt_tokens", 0);
+ result.usage.outputTokens = usage.value("completion_tokens", 0);
+ result.usage.totalTokens = result.usage.inputTokens + result.usage.outputTokens;
+ }
+ } catch (const Json::exception&) {
+ // Skip malformed chunks
+ }
+ return true;
+ });
+
+ // Flush last tool call if any
+ if (inToolCall) {
+ result.content.push_back(ToolUseContent {
+ .id = currentToolId,
+ .name = currentToolName,
+ .inputJson = currentToolArgs,
+ });
+ }
+
+ // Add text content if present
+ if (!fullContent.empty()) {
+ result.content.insert(result.content.begin(), TextContent { .text = fullContent });
+ }
+
+ if (!sseResponse.ok()) {
+ throw std::runtime_error("OpenAI API stream error: " +
+ std::to_string(sseResponse.statusCode) + " " + sseResponse.statusText);
+ }
+
+ return result;
+ }
+
+ Task