v1.2 真实模型接入 + Thinking 死循环修复

- 新增 OpenAIProvider / ClaudeProvider，接入 Deepseek 真实 API
- 修复 Deepseek thinking 模式 reasoning_content 回传问题
- 修复 Thinking 阶段过渡指令每轮重复插入导致的死循环
- 新增 maxTurns 保护、dumpMessages/dumpTools 调试输出

README.md

@@ -65,6 +65,30 @@ func main() {
 
 ## 版本历史
 
+### v1.2 — 真实模型接入与 Thinking 死循环修复
+
+#### 变更
+
+- **接入真实大模型** — 新增 `OpenAIProvider` 和 `ClaudeProvider`，分别基于 OpenAI V3 SDK 和 Anthropic SDK 连接 Deepseek API，替换原有的 Mock Provider
+- **Deepseek thinking 模式适配** — 修正 `reasoning_content` 字段丢失导致的 API 400 错误，在 `schema.Message` 中新增字段并在请求中回传
+- **Thinking 死循环修复** — 过渡指令只在首轮插入，防止模型每轮重复调用工具
+- **最大轮数保护** — 新增 `maxTurns = 10` 上限，防止意外死循环
+- **调试输出** — 新增 `dumpMessages` 和 `dumpTools`，每轮打印上下文消息和工具列表
+
+#### 踩坑记录
+
+| 问题 | 原因 | 解决 |
+|---|---|---|
+| API 400: `reasoning_content must be passed back` | Deepseek thinking 模式返回了 `reasoning_content` 字段，回传请求时未携带 | 从响应 RawJSON 中提取该字段，用 `param.Override` 注入原始 JSON 回传 |
+| 模型在 Phase 2 不调用工具 | Phase 1 的思考内容作为 Assistant 消息追加后，模型认为对话已结束 | 在思考后插入一条 User 角色过渡指令："根据推理，使用工具完成任务" |
+| 引擎死循环跑到 maxTurns | 过渡指令每轮都插入，模型每轮都被要求调用工具 | 过渡指令只在 `turnCount == 1` 时插入，后续轮次模型根据观察结果自行判断 |
+
+#### 经验教训
+
+1. **上下文即状态** — Agent 的所有行为都由上下文驱动。插入一条消息就能改变模型行为，不需要改代码逻辑
+2. **非标准 API 字段需手动处理** — 大模型厂商的扩展字段（如 `reasoning_content`）不在 SDK 类型中，需要从 RawJSON 手动提取并用注入方式回传
+3. **过渡指令的作用域很重要** — "使用工具"这种指令适合在首轮引导，重复出现会导致模型无法自行判断任务是否完成
+
 ### v1.1 — 慢思考模式 (Thinking Phase)
 
 将 ReAct 循环从单阶段升级为双阶段架构：

cmd/claw/main.go

@@ -4,71 +4,63 @@ import (
 	"context"
 	"log"
 	"os"
+	"fmt"
 
 	"go-tiny-claw/internal/engine"
 	"go-tiny-claw/internal/schema"
+	"go-tiny-claw/internal/provider"
 )
 
-// 升级版 Mock Provider
-type mockProvider struct {
-    turn int
-}
-
-func (m *mockProvider) Generate(ctx context.Context, msgs []schema.Message, tools []schema.ToolDefinition) (*schema.Message, error) {
-    // 如果工具列表为空，说明这是引擎发起的 Phase 1: Thinking 阶段
-    if len(tools) == 0 {
-        return &schema.Message{
-            Role:    schema.RoleAssistant,
-            Content: "【推理中】目标是检查文件。我不能直接盲猜，我需要先调用 bash 工具执行 ls 命令，看看当前目录下有什么，然后再做定夺。",
-        }, nil
-    }
-
-    // 如果工具列表不为空，说明这是 Phase 2: Action 阶段
-    m.turn++
-    if m.turn == 1 {
-        // 第一轮 Action：顺着刚才的 Thinking，精准调用工具
-        return &schema.Message{
-            Role:    schema.RoleAssistant,
-            Content: "我要执行我刚才计划的步骤了。",
-            ToolCalls: []schema.ToolCall{
-                {ID: "call_123", Name: "bash", Arguments: []byte(`{"command": "ls -la"}`)},
-            },
-        }, nil
-    }
-
-    // 第二轮 Action：直接总结退出
-    return &schema.Message{
-        Role:    schema.RoleAssistant,
-        Content: "根据工具返回的结果，我看到了 main.go，任务圆满完成！",
-    }, nil
-}
 
+// 伪造的工具注册表 (用于测试 Provider 的工具提取能力)
 type mockRegistry struct{}
 
-func (m *mockRegistry) GetAvailableTools() []schema.ToolDefinition { 
+func (m *mockRegistry) GetAvailableTools() []schema.ToolDefinition {
-    // 为了让 Phase 2 能检测到工具，这里返回一个伪造的工具定义数组
+    return []schema.ToolDefinition{
-    return []schema.ToolDefinition{{Name: "bash"}} 
+        {
+            Name:        "get_weather",
+            Description: "获取指定城市的当前天气情况。",
+            InputSchema: map[string]interface{}{
+                "type": "object",
+                "properties": map[string]interface{}{
+                    "city": map[string]interface{}{
+                        "type": "string",
+                    },
+                },
+                "required": []string{"city"},
+            },
+        },
+    }
 }
 
 func (m *mockRegistry) Execute(ctx context.Context, call schema.ToolCall) schema.ToolResult {
+    log.Printf("  -> [Mock 工具执行] 获取 %s 的天气中...\n", call.Name)
     return schema.ToolResult{
         ToolCallID: call.ID,
-        Output:     "-rw-r--r--  1 user group  234 Oct 24 10:00 main.go\n",
+        Output:     "API 返回：今天是晴天，气温 25 度。",
         IsError:    false,
     }
 }
 
 func main() {
+ 
+	fmt.Printf("11111")
     workDir, _ := os.Getwd()
 
-    p := &mockProvider{}
+    // 1. 初始化真实的 Provider大脑 (指向智谱 GLM-4.5)
-    r := &mockRegistry{}
+    // 这里你可以任意切换 NewZhipuClaudeProvider 或 NewZhipuOpenAIProvider，效果完全一致！
+    llmProvider := provider.DeepseekOpenAIProvider("deepseek-v4-flash")
+    // 2. 注入伪造的工具注册表
+    registry := &mockRegistry{}
 
-    // 实例化引擎，开启 EnableThinking = true
+    // 3. 实例化并运行引擎，开启 EnableThinking = true (开启慢思考阶段！)
-    eng := engine.NewAgentEngine(p, r, workDir, true)
+    eng := engine.NewAgentEngine(llmProvider, registry, workDir, true)
 
-    err := eng.Run(context.Background(), "帮我检查当前目录的文件")
+    // 设定测试任务
+    prompt := "我想去北京跑步，帮我查查天气适合吗？"
+
+    err := eng.Run(context.Background(), prompt)
     if err != nil {
-        log.Fatalf("引擎崩溃: %v", err)
+        log.Fatalf("引擎运行崩溃: %v", err)
     }
 }

go.mod

@@ -1,2 +1,21 @@
 module go-tiny-claw
 
+go 1.23.0
+
+require (
+	github.com/anthropics/anthropic-sdk-go v1.43.0 // indirect
+	github.com/bahlo/generic-list-go v0.2.0 // indirect
+	github.com/buger/jsonparser v1.1.2 // indirect
+	github.com/invopop/jsonschema v0.13.0 // indirect
+	github.com/joho/godotenv v1.5.1 // indirect
+	github.com/mailru/easyjson v0.7.7 // indirect
+	github.com/openai/openai-go/v3 v3.35.0 // indirect
+	github.com/standard-webhooks/standard-webhooks/libraries v0.0.1 // indirect
+	github.com/tidwall/gjson v1.18.0 // indirect
+	github.com/tidwall/match v1.1.1 // indirect
+	github.com/tidwall/pretty v1.2.1 // indirect
+	github.com/tidwall/sjson v1.2.5 // indirect
+	github.com/wk8/go-ordered-map/v2 v2.1.8 // indirect
+	golang.org/x/sync v0.16.0 // indirect
+	gopkg.in/yaml.v3 v3.0.1 // indirect
+)

go.sum

@@ -0,0 +1,34 @@
+github.com/anthropics/anthropic-sdk-go v1.43.0 h1:ShY3C7lafzHP0ze1dCxL3ZFZzvkGfXJN91DfZTG8zLM=
+github.com/anthropics/anthropic-sdk-go v1.43.0/go.mod h1:5cEaslQ6A9ajdL5YUvhNW57LKxEz0OAZ7WEzgZWLD7k=
+github.com/bahlo/generic-list-go v0.2.0 h1:5sz/EEAK+ls5wF+NeqDpk5+iNdMDXrh3z3nPnH1Wvgk=
+github.com/bahlo/generic-list-go v0.2.0/go.mod h1:2KvAjgMlE5NNynlg/5iLrrCCZ2+5xWbdbCW3pNTGyYg=
+github.com/buger/jsonparser v1.1.2 h1:frqHqw7otoVbk5M8LlE/L7HTnIq2v9RX6EJ48i9AxJk=
+github.com/buger/jsonparser v1.1.2/go.mod h1:6RYKKt7H4d4+iWqouImQ9R2FZql3VbhNgx27UK13J/0=
+github.com/invopop/jsonschema v0.13.0 h1:KvpoAJWEjR3uD9Kbm2HWJmqsEaHt8lBUpd0qHcIi21E=
+github.com/invopop/jsonschema v0.13.0/go.mod h1:ffZ5Km5SWWRAIN6wbDXItl95euhFz2uON45H2qjYt+0=
+github.com/joho/godotenv v1.5.1 h1:7eLL/+HRGLY0ldzfGMeQkb7vMd0as4CfYvUVzLqw0N0=
+github.com/joho/godotenv v1.5.1/go.mod h1:f4LDr5Voq0i2e/R5DDNOoa2zzDfwtkZa6DnEwAbqwq4=
+github.com/josharian/intern v1.0.0/go.mod h1:5DoeVV0s6jJacbCEi61lwdGj/aVlrQvzHFFd8Hwg//Y=
+github.com/mailru/easyjson v0.7.7 h1:UGYAvKxe3sBsEDzO8ZeWOSlIQfWFlxbzLZe7hwFURr0=
+github.com/mailru/easyjson v0.7.7/go.mod h1:xzfreul335JAWq5oZzymOObrkdz5UnU4kGfJJLY9Nlc=
+github.com/openai/openai-go/v3 v3.35.0 h1:109x3epXMSE423KW2euR506GGFezcEt0s87MoWejpH0=
+github.com/openai/openai-go/v3 v3.35.0/go.mod h1:cdufnVK14cWcT9qA1rRtrXx4FTRsgbDPW7Ia7SS5cZo=
+github.com/standard-webhooks/standard-webhooks/libraries v0.0.1 h1:uOfcYT+3QungH6tIGSVCR/Y3KJmgJiHcojJbMTPDZAI=
+github.com/standard-webhooks/standard-webhooks/libraries v0.0.1/go.mod h1:L1MQhA6x4dn9r007T033lsaZMv9EmBAdXyU/+EF40fo=
+github.com/tidwall/gjson v1.14.2/go.mod h1:/wbyibRr2FHMks5tjHJ5F8dMZh3AcwJEMf5vlfC0lxk=
+github.com/tidwall/gjson v1.18.0 h1:FIDeeyB800efLX89e5a8Y0BNH+LOngJyGrIWxG2FKQY=
+github.com/tidwall/gjson v1.18.0/go.mod h1:/wbyibRr2FHMks5tjHJ5F8dMZh3AcwJEMf5vlfC0lxk=
+github.com/tidwall/match v1.1.1 h1:+Ho715JplO36QYgwN9PGYNhgZvoUSc9X2c80KVTi+GA=
+github.com/tidwall/match v1.1.1/go.mod h1:eRSPERbgtNPcGhD8UCthc6PmLEQXEWd3PRB5JTxsfmM=
+github.com/tidwall/pretty v1.2.0/go.mod h1:ITEVvHYasfjBbM0u2Pg8T2nJnzm8xPwvNhhsoaGGjNU=
+github.com/tidwall/pretty v1.2.1 h1:qjsOFOWWQl+N3RsoF5/ssm1pHmJJwhjlSbZ51I6wMl4=
+github.com/tidwall/pretty v1.2.1/go.mod h1:ITEVvHYasfjBbM0u2Pg8T2nJnzm8xPwvNhhsoaGGjNU=
+github.com/tidwall/sjson v1.2.5 h1:kLy8mja+1c9jlljvWTlSazM7cKDRfJuR/bOJhcY5NcY=
+github.com/tidwall/sjson v1.2.5/go.mod h1:Fvgq9kS/6ociJEDnK0Fk1cpYF4FIW6ZF7LAe+6jwd28=
+github.com/wk8/go-ordered-map/v2 v2.1.8 h1:5h/BUHu93oj4gIdvHHHGsScSTMijfx5PeYkE/fJgbpc=
+github.com/wk8/go-ordered-map/v2 v2.1.8/go.mod h1:5nJHM5DyteebpVlHnWMV0rPz6Zp7+xBAnxjb1X5vnTw=
+golang.org/x/sync v0.16.0 h1:ycBJEhp9p4vXvUZNszeOq0kGTPghopOL8q0fq3vstxw=
+golang.org/x/sync v0.16.0/go.mod h1:1dzgHSNfp02xaA81J2MS99Qcpr2w7fw1gpm99rleRqA=
+gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
+gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
+gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=

internal/engine/loop.go

@@ -29,6 +29,28 @@ func NewAgentEngine(p provider.LLMProvider, r tools.Registry, workDir string, en
 	}
 }
 
+// dumpMessages 打印当前上下文中的所有消息 (调试用)
+func dumpMessages(msgs []schema.Message) {
+	for i, msg := range msgs {
+		content := msg.Content
+		if len(content) > 80 {
+			content = content[:80] + "..."
+		}
+		log.Printf("  [%02d] %-10s | %s", i, msg.Role, content)
+	}
+}
+
+// dumpTools 打印当前可用的工具列表
+func dumpTools(tools []schema.ToolDefinition) {
+	if len(tools) == 0 {
+		log.Printf("  [Tools] (无可用工具)\n")
+		return
+	}
+	for i, t := range tools {
+		log.Printf("  [Tool %d] %s — %s", i, t.Name, t.Description)
+	}
+}
+
 // internal/engine/loop.go (续)
 func (e *AgentEngine) Run(ctx context.Context, userPrompt string) error {
     log.Printf("[Engine] 引擎启动，锁定工作区: %s\n", e.WorkDir)
@@ -46,18 +68,25 @@ func (e *AgentEngine) Run(ctx context.Context, userPrompt string) error {
     }
 
     turnCount := 0
+    const maxTurns = 10
 
     for {
         turnCount++
+        if turnCount > maxTurns {
+            log.Printf("[Engine] 已达最大轮数 (%d)，强制终止。\n", maxTurns)
+            break
+        }
         log.Printf("\n========== [Turn %d] 开始 ==========\n", turnCount)
+        dumpMessages(contextHistory)
 
         // 获取当前挂载的所有工具定义
         availableTools := e.registry.GetAvailableTools()
+        dumpTools(availableTools)
 
         // ====================================================================
-        // Phase 1: 慢思考阶段 (Thinking) - 剥夺工具，强制规划
+        // Phase 1: 慢思考阶段 (Thinking) - 仅第一轮执行初始规划
         // ====================================================================
-        if e.EnableThinking {
+        if e.EnableThinking && turnCount == 1 {
             log.Println("[Engine][Phase 1] 剥夺工具访问权，强制进入慢思考与规划阶段...")
 
             // 核心机制：传入的 availableTools 为 nil！
@@ -72,6 +101,12 @@ func (e *AgentEngine) Run(ctx context.Context, userPrompt string) error {
                 fmt.Printf("🧠 [内部思考 Trace]: %s\n", thinkResp.Content)
                 contextHistory = append(contextHistory, *thinkResp)
             }
+
+            // 插入过渡指令：让模型知道现在可以调用工具了
+            contextHistory = append(contextHistory, schema.Message{
+                Role:    schema.RoleUser,
+                Content: "根据你的推理，现在请使用可用的工具来完成任务。执行具体行动。",
+            })
         }
 
         // ====================================================================
@@ -79,7 +114,7 @@ func (e *AgentEngine) Run(ctx context.Context, userPrompt string) error {
         // ====================================================================
         log.Println("[Engine][Phase 2] 恢复工具挂载，等待模型采取行动...")
 
-        // 此时的 contextHistory 中已经包含了上一阶段模型自己的 Thinking Trace。
+        // 此时的 contextHistory 中已经包含了上一阶段模型自己的 Thinking Trace + 过渡指令。
         // 模型会顺着自己的逻辑，结合恢复的 availableTools 发起精准的工具调用。
         actionResp, err := e.provider.Generate(ctx, contextHistory, availableTools)
         if err != nil {

internal/provider/claude.go

@@ -0,0 +1,144 @@
+// internal/provider/claude.go
+package provider
+
+import (
+    "context"
+    "encoding/json"
+    "fmt"
+    // "os"
+
+    "github.com/anthropics/anthropic-sdk-go"
+    "github.com/anthropics/anthropic-sdk-go/option"
+    "go-tiny-claw/internal/schema"
+)
+
+type ClaudeProvider struct {
+    client anthropic.Client
+    model  string
+}
+
+func DeepseekClaudeProvider(model string) *ClaudeProvider {
+	apiKey := "sk-1f44696abe644bd684f09cc43f12c557"
+    if apiKey == "" {
+        panic("请设置 ZHIPU_API_KEY 环境变量")
+    }
+    baseURL := "https://api.deepseek.com/anthropic"
+    return &ClaudeProvider{
+        client: anthropic.NewClient(option.WithAPIKey(apiKey), option.WithBaseURL(baseURL)),
+        model:  model,
+    }
+}
+
+func (p *ClaudeProvider) Generate(ctx context.Context, msgs []schema.Message, availableTools []schema.ToolDefinition) (*schema.Message, error) {
+    var anthropicMsgs []anthropic.MessageParam
+    var systemPrompt string
+
+    // 1. 消息翻译
+    for _, msg := range msgs {
+        switch msg.Role {
+        case schema.RoleSystem:
+            systemPrompt = msg.Content
+        case schema.RoleUser:
+            if msg.ToolCallID != "" {
+                anthropicMsgs = append(anthropicMsgs, anthropic.NewUserMessage(
+                    anthropic.NewToolResultBlock(msg.ToolCallID, msg.Content, false),
+                ))
+            } else {
+                anthropicMsgs = append(anthropicMsgs, anthropic.NewUserMessage(
+                    anthropic.NewTextBlock(msg.Content),
+                ))
+            }
+        case schema.RoleAssistant:
+            var blocks []anthropic.ContentBlockParamUnion
+            if msg.Content != "" {
+                blocks = append(blocks, anthropic.NewTextBlock(msg.Content))
+            }
+
+            // 将历史工具调用转回 Claude 特有的 ToolUseBlockParam
+            for _, tc := range msg.ToolCalls {
+                var inputMap map[string]interface{}
+                _ = json.Unmarshal(tc.Arguments, &inputMap)
+                blocks = append(blocks, anthropic.ContentBlockParamUnion{
+                    OfToolUse: &anthropic.ToolUseBlockParam{
+                        ID:    tc.ID,
+                        Name:  tc.Name,
+                        Input: inputMap,
+                    },
+                })
+            }
+            if len(blocks) > 0 {
+                anthropicMsgs = append(anthropicMsgs, anthropic.NewAssistantMessage(blocks...))
+            }
+        }
+    }
+
+    // 2. 工具 Schema 翻译
+    var anthropicTools []anthropic.ToolUnionParam
+    for _, toolDef := range availableTools {
+        // ToolInputSchemaParam 是结构体，需要通过 Properties 字段精准填充
+        var properties map[string]any
+        var required []string
+
+        if m, ok := toolDef.InputSchema.(map[string]interface{}); ok {
+            if p, ok := m["properties"].(map[string]interface{}); ok {
+                properties = p
+            }
+            if r, ok := m["required"].([]string); ok {
+                required = r
+            }
+        }
+
+        tp := anthropic.ToolParam{
+            Name:        toolDef.Name,
+            Description: anthropic.String(toolDef.Description),
+            InputSchema: anthropic.ToolInputSchemaParam{
+                Properties: properties,
+                Required:   required,
+            },
+        }
+        anthropicTools = append(anthropicTools, anthropic.ToolUnionParam{OfTool: &tp})
+    }
+
+    // 3. 构建请求并发送
+    params := anthropic.MessageNewParams{
+        Model:     anthropic.Model(p.model),
+        MaxTokens: 4096,
+        Messages:  anthropicMsgs,
+    }
+
+    if systemPrompt != "" {
+        params.System = []anthropic.TextBlockParam{
+            {Text: systemPrompt},
+        }
+    }
+
+    if len(anthropicTools) > 0 {
+        params.Tools = anthropicTools
+    }
+
+    resp, err := p.client.Messages.New(ctx, params)
+    if err != nil {
+        return nil, fmt.Errorf("Claude/Zhipu API 请求失败: %w", err)
+    }
+
+    // 4. 反向解析
+    resultMsg := &schema.Message{
+        Role: schema.RoleAssistant,
+    }
+
+    for _, block := range resp.Content {
+        switch block.Type {
+        case "text":
+            resultMsg.Content += block.Text
+        case "tool_use":
+            argsBytes, _ := json.Marshal(block.Input)
+            resultMsg.ToolCalls = append(resultMsg.ToolCalls, schema.ToolCall{
+                ID:        block.ID,
+                Name:      block.Name,
+                Arguments: argsBytes,
+            })
+        }
+    }
+
+    return resultMsg, nil
+}

internal/provider/openai.go

@@ -0,0 +1,193 @@
+// internal/provider/openai.go
+package provider
+
+import (
+    "context"
+    "encoding/json"
+    "fmt"
+    // "os"
+
+    "github.com/openai/openai-go/v3"
+    "github.com/openai/openai-go/v3/option"
+    "github.com/openai/openai-go/v3/packages/param"
+    "github.com/openai/openai-go/v3/shared"
+    "go-tiny-claw/internal/schema"
+)
+
+type OpenAIProvider struct {
+    client openai.Client // 值类型，非指针
+    model  string
+}
+
+// NewZhipuOpenAIProvider 构造函数：基于 OpenAI V3 SDK，指向智谱底座
+func DeepseekOpenAIProvider(model string) *OpenAIProvider {
+    apiKey := "sk-1f44696abe644bd684f09cc43f12c557"
+    if apiKey == "" {
+        panic("请设置 ZHIPU_API_KEY 环境变量")
+    }
+    // 核心：将官方 SDK 的地址替换为智谱的兼容端点
+    baseURL := "https://api.deepseek.com"
+
+    return &OpenAIProvider{
+        client: openai.NewClient(option.WithAPIKey(apiKey), option.WithBaseURL(baseURL)),
+        model:  model,
+    }
+}
+
+func (p *OpenAIProvider) Generate(ctx context.Context, msgs []schema.Message, availableTools []schema.ToolDefinition) (*schema.Message, error) {
+    var openaiMsgs []openai.ChatCompletionMessageParamUnion
+
+    // 1. 翻译上下文消息
+    for _, msg := range msgs {
+        switch msg.Role {
+        case schema.RoleSystem:
+            openaiMsgs = append(openaiMsgs, openai.SystemMessage(msg.Content))
+
+        case schema.RoleUser:
+            if msg.ToolCallID != "" {
+                // 注意：v3 新版参数顺序是 (content, toolCallID)
+                openaiMsgs = append(openaiMsgs, openai.ToolMessage(msg.Content, msg.ToolCallID))
+            } else {
+                openaiMsgs = append(openaiMsgs, openai.UserMessage(msg.Content))
+            }
+
+        case schema.RoleAssistant:
+            // Deepseek thinking mode: reasoning_content 必须回传
+            if msg.ReasoningContent != "" || len(msg.ToolCalls) > 0 {
+                msgMap := map[string]interface{}{
+                    "role":    "assistant",
+                    "content": msg.Content,
+                }
+                if msg.ReasoningContent != "" {
+                    msgMap["reasoning_content"] = msg.ReasoningContent
+                }
+                if len(msg.ToolCalls) > 0 {
+                    var toolCalls []map[string]interface{}
+                    for _, tc := range msg.ToolCalls {
+                        toolCalls = append(toolCalls, map[string]interface{}{
+                            "id":   tc.ID,
+                            "type": "function",
+                            "function": map[string]interface{}{
+                                "name":      tc.Name,
+                                "arguments": string(tc.Arguments),
+                            },
+                        })
+                    }
+                    msgMap["tool_calls"] = toolCalls
+                }
+                rawJSON, _ := json.Marshal(msgMap)
+                astParam := param.Override[openai.ChatCompletionAssistantMessageParam](json.RawMessage(rawJSON))
+                openaiMsgs = append(openaiMsgs, openai.ChatCompletionMessageParamUnion{
+                    OfAssistant: &astParam,
+                })
+                break
+            }
+
+            astParam := openai.ChatCompletionAssistantMessageParam{}
+
+            if msg.Content != "" {
+                astParam.Content = openai.ChatCompletionAssistantMessageParamContentUnion{
+                    OfString: openai.String(msg.Content),
+                }
+            }
+
+            // 【重要】如果历史包含 ToolCalls，必须原样放回，以维系大模型的逻辑链
+            if len(msg.ToolCalls) > 0 {
+                var toolCalls []openai.ChatCompletionMessageToolCallUnionParam
+                for _, tc := range msg.ToolCalls {
+                    // OfFunction 对应 GetFunction()，字段类型严格要求为指针
+                    toolCalls = append(toolCalls, openai.ChatCompletionMessageToolCallUnionParam{
+                        OfFunction: &openai.ChatCompletionMessageFunctionToolCallParam{
+                            ID:   tc.ID,
+                            Type: "function",
+                            Function: openai.ChatCompletionMessageFunctionToolCallFunctionParam{
+                                Name:      tc.Name,
+                                Arguments: string(tc.Arguments),
+                            },
+                        },
+                    })
+                }
+                astParam.ToolCalls = toolCalls
+            }
+
+            openaiMsgs = append(openaiMsgs, openai.ChatCompletionMessageParamUnion{
+                OfAssistant: &astParam,
+            })
+        }
+    }
+
+    // 2. 翻译工具定义 (v3 新 API 特性适配)
+    var openaiTools []openai.ChatCompletionToolUnionParam
+    for _, toolDef := range availableTools {
+        var params shared.FunctionParameters
+
+        // 尝试直接断言，如果不成功则通过 JSON 往返序列化来保证类型匹配
+        if m, ok := toolDef.InputSchema.(map[string]interface{}); ok {
+            params = shared.FunctionParameters(m)
+        } else {
+            // fallback：JSON 往返序列化
+            b, _ := json.Marshal(toolDef.InputSchema)
+            _ = json.Unmarshal(b, &params)
+        }
+
+        openaiTools = append(openaiTools, openai.ChatCompletionFunctionTool(
+            shared.FunctionDefinitionParam{
+                Name:        toolDef.Name,
+                Description: openai.String(toolDef.Description),
+                Parameters:  params,
+            },
+        ))
+    }
+
+    // 3. 构建请求并发送
+    params := openai.ChatCompletionNewParams{
+        Model:    p.model,
+        Messages: openaiMsgs,
+    }
+
+    // 【慢思考机制支撑】仅当 availableTools 存在时才挂载 Tools
+    if len(openaiTools) > 0 {
+        params.Tools = openaiTools
+    }
+
+    resp, err := p.client.Chat.Completions.New(ctx, params)
+    if err != nil {
+        return nil, fmt.Errorf("OpenAI/Zhipu API 请求失败: %w", err)
+    }
+    if len(resp.Choices) == 0 {
+        return nil, fmt.Errorf("API 返回了空的 Choices")
+    }
+
+    // 4. 将 API Response 反向翻译为内部 schema.Message
+    choice := resp.Choices[0].Message
+    resultMsg := &schema.Message{
+        Role:    schema.RoleAssistant,
+        Content: choice.Content,
+    }
+
+    // Deepseek thinking mode: 从原始响应中提取 reasoning_content
+    rawMsg := choice.RawJSON()
+    if rawMsg != "" {
+        var rawMap map[string]json.RawMessage
+        if err := json.Unmarshal([]byte(rawMsg), &rawMap); err == nil {
+            if rc, ok := rawMap["reasoning_content"]; ok {
+                var s string
+                if json.Unmarshal(rc, &s) == nil {
+                    resultMsg.ReasoningContent = s
+                }
+            }
+        }
+    }
+
+    for _, tc := range choice.ToolCalls {
+        if tc.Type == "function" {
+            resultMsg.ToolCalls = append(resultMsg.ToolCalls, schema.ToolCall{
+                ID:        tc.ID,
+                Name:      tc.Function.Name,
+                Arguments: []byte(tc.Function.Arguments), // 提取 JSON 字符串字节
+            })
+        }
+    }
+
+    return resultMsg, nil
+}

internal/schema/message.go

@@ -16,6 +16,9 @@ type Message struct {
 	Role    Role   `json:"role"`
 	Content string `json:"content"` // 存放纯文本内容
 
+	// ReasoningContent Deepseek thinking 模式的内部推理链，回传时必须保留
+	ReasoningContent string `json:"reasoning_content,omitempty"`
+
 	// 如果模型决定调用工具，此字段将被填充 (支持并行调用多个工具)
 	ToolCalls []ToolCall `json:"tool_calls,omitempty"`
 

main.go

@@ -50,7 +50,7 @@ func main() {
 	p := &mockProvider{}
 	r := &mockRegistry{}
 
-	eng := engine.NewAgentEngine(p, r, workDir)
+	eng := engine.NewAgentEngine(p, r, workDir, true)
 
 	err := eng.Run(context.Background(), "帮我检查当前目录的文件")
 	if err != nil {