调整公共模块结构，方便后续延伸

Cargo.lock

@@ -324,6 +324,7 @@ version = "0.1.0"
 dependencies = [
  "serde",
  "serde_json",
+ "thiserror",
 ]
 
 [[package]]

ai/Cargo.toml

@@ -14,4 +14,4 @@ serde = { version = "1.0", features = ["derive"] }            # 序列化/反序
 serde_json = "1.0"                                             # JSON 处理
 serde_yaml = "0.9"                                             # YAML 解析（工具规范文件）
 # ── 时间 ──
-chrono = "0.4"
+chrono = "0.4"

ai/src/core.rs

@@ -1,5 +1,5 @@
 use crate::toolkit::{call_tools, get_tool};
-use common::ai::{
+use common::model::ai::{
     ChatCompletionRequestBody, ChatCompletionRequestExtra, ChatCompletionRequestMessage,
     ChatCompletionRequestThinking, ChatCompletionResponseBody,
 };
@@ -13,7 +13,6 @@ pub async fn send_message(
     let result = request_llm(messages).await;
     match result {
         Ok(result) => {
-            // println!("result:");
             for choice in result.unwrap().choices {
                 let messsage_content = choice.message.content;
                 let messsage_reasoning = choice.message.reasoning_content.unwrap_or_default();

ai/src/toolkit.rs

@@ -2,7 +2,7 @@ use chrono::Local;
 use serde_json::error;
 
 use common::{
-    ai::ChatCompletionToolCall,
+    model::ai::ChatCompletionToolCall,
     queue::{ChannelMessage, QueueMessage},
 };
 

common/Cargo.toml

@@ -6,4 +6,6 @@ edition = "2024"
 [dependencies]
 # ── 序列化 ──
 serde = { version = "1.0", features = ["derive"] } # 序列化/反序列化
-serde_json = "1.0"
+serde_json = "1.0"
+# ── 错误处理 ──
+thiserror = "2"

common/src/ai.rs

@@ -1,120 +0,0 @@
-use serde::{Deserialize, Serialize};
-
-#[derive(Debug, Serialize)]
-pub struct ChatCompletionRequestBody {
-    pub model: String,
-    pub messages: Vec<ChatCompletionRequestMessage>,
-    pub stream: bool,
-    pub tools: Vec<serde_json::Value>,
-    pub extra_body: Option<ChatCompletionRequestExtra>,
-}
-#[derive(Debug, Serialize)]
-pub struct ChatCompletionRequestExtra {
-    pub thinking: ChatCompletionRequestThinking,
-}
-#[derive(Debug, Serialize)]
-pub struct ChatCompletionRequestThinking {
-    #[serde(rename = "type")]
-    pub thinking_type: String,
-}
-
-#[derive(Debug, Clone, Serialize)]
-pub struct ChatCompletionRequestMessage {
-    pub role: String,
-    pub content: String,
-    pub tool_call_id: Option<String>,
-    pub tool_calls: Option<Vec<ChatCompletionToolCall>>,
-}
-impl ChatCompletionRequestMessage {
-    pub fn new(role: String, content: String) -> Self {
-        Self {
-            role,
-            content,
-            tool_call_id: None,
-            tool_calls: None,
-        }
-    }
-    pub fn assistant(
-        role: String,
-        content: String,
-        tool_calls: Option<Vec<ChatCompletionToolCall>>,
-    ) -> Self {
-        Self {
-            role,
-            content,
-            tool_call_id: None,
-            tool_calls: tool_calls,
-        }
-    }
-
-    pub fn tool(role: String, content: String, tool_call_id: String) -> Self {
-        Self {
-            role,
-            content,
-            tool_call_id: Some(tool_call_id),
-            tool_calls: None,
-        }
-    }
-}
-
-// {"choices":[{"finish_reason":"stop","index":0,"logprobs":null,"message":{"content":"你好！😊 有什么我可以帮你的吗？","role":"assistant"}}],"created":1782208455,"id":"02178220845277286f296e4c58ddf650991f54d763d292af8529b","model":"deepseek-v4-flash-260425","service_tier":"default","object":"chat.completion","usage":{"prompt_tokens":2005,"completion_tokens":125,"total_tokens":2130,"prompt_tokens_details":{"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":114}}}
-#[allow(dead_code)]
-#[derive(Debug, Deserialize)]
-pub struct ChatCompletionResponseBody {
-    id: String,
-    object: String,
-    created: i64,
-    model: String,
-    service_tier: String,
-    pub choices: Vec<ChatCompletionResponseChoice>,
-    pub usage: ChatCompletionUsage,
-}
-
-#[allow(dead_code)]
-#[derive(Debug, Deserialize)]
-pub struct ChatCompletionResponseChoice {
-    index: u32,
-    pub message: ChatCompletionResponseMessage,
-    logprobs: Option<serde_json::Value>,
-    finish_reason: String,
-}
-#[allow(dead_code)]
-#[derive(Debug, Deserialize)]
-pub struct ChatCompletionResponseMessage {
-    pub role: String,
-    pub content: String,
-    pub reasoning_content: Option<String>,
-    pub tool_calls: Option<Vec<ChatCompletionToolCall>>,
-}
-#[derive(Debug, Clone, Deserialize, Serialize)]
-pub struct ChatCompletionToolCall {
-    pub function: Option<ChatCompletionFunction>,
-    pub id: String,
-    #[serde(rename = "type")]
-    pub call_type: String,
-}
-#[derive(Debug, Clone, Deserialize, Serialize)]
-pub struct ChatCompletionFunction {
-    pub arguments: String,
-    pub name: String,
-}
-
-#[derive(Debug, Deserialize)]
-pub struct ChatCompletionUsage {
-    pub prompt_tokens: u32,
-    pub completion_tokens: u32,
-    pub total_tokens: u32,
-    pub prompt_tokens_details: ChatCompletionUsagePrompt,
-    pub completion_tokens_details: ChatCompletionUsageCompletion,
-}
-
-#[allow(dead_code)]
-#[derive(Debug, Deserialize)]
-pub struct ChatCompletionUsagePrompt {
-    pub cached_tokens: u32,
-}
-#[allow(dead_code)]
-#[derive(Debug, Deserialize)]
-pub struct ChatCompletionUsageCompletion {
-    pub reasoning_tokens: u32,
-}

common/src/lib.rs

@@ -1,2 +1,3 @@
-pub mod ai;
+pub mod error;
+pub mod model;
 pub mod queue;

common/src/queue.rs

@@ -1,6 +1,6 @@
 use serde::{Deserialize, Serialize};
 
-use crate::ai::ChatCompletionToolCall;
+use crate::model::ai::ChatCompletionToolCall;
 
 #[derive(Debug, Clone, Serialize, Deserialize)]
 pub enum QueueMessage {

service/src/core/context.rs

@@ -2,7 +2,7 @@ use std::sync::OnceLock;
 
 use tokio::sync::Mutex;
 
-use common::ai::{ChatCompletionRequestMessage, ChatCompletionToolCall};
+use common::model::ai::{ChatCompletionRequestMessage, ChatCompletionToolCall};
 
 static CHAT_CONTEXT: OnceLock<Mutex<Vec<ChatCompletionRequestMessage>>> = OnceLock::new();
 
@@ -24,11 +24,8 @@ pub async fn add_assistant_message(
     content: String,
     tool_calls: Option<Vec<ChatCompletionToolCall>>,
 ) {
-    let message = ChatCompletionRequestMessage::assistant(
-        "assistant".to_string(),
-        content,
-        tool_calls,
-    );
+    let message =
+        ChatCompletionRequestMessage::assistant("assistant".to_string(), content, tool_calls);
     push_context_message(message).await;
 }
 

service/src/core/queue.rs

@@ -3,7 +3,6 @@ use crate::core::context::{
 };
 use ai::core::send_message;
 use common::queue::QueueMessage;
-use serde_json::error;
 use tokio::sync::{mpsc::Receiver, mpsc::Sender};
 use wechat::manager::WeChatMultiAccountManager;
 
@@ -11,7 +10,7 @@ pub async fn create_queue(
     sender: Sender<QueueMessage>,
     mut receiver: Receiver<QueueMessage>,
     manager: WeChatMultiAccountManager,
-) -> Result<(), error::Error> {
+) -> anyhow::Result<()> {
     tokio::spawn(async move {
         while let Some(msg) = receiver.recv().await {
             let queue_sender = sender.clone();

service/src/error.rs

@@ -1,34 +0,0 @@
-use axum::{
-    Json,
-    http::StatusCode,
-    response::{IntoResponse, Response},
-};
-
-use serde_json::json;
-#[allow(unused)]
-#[derive(Debug, thiserror::Error)]
-pub enum AppError {
-    #[error("not found")]
-    NotFound,
-    #[error(transparent)]
-    AnyHow(#[from] anyhow::Error),
-}
-
-impl IntoResponse for AppError {
-    fn into_response(self) -> Response {
-        let (status, message) = match self {
-            AppError::NotFound => (StatusCode::NOT_FOUND, "resource not found".to_string()),
-            AppError::AnyHow(err) => {
-                eprintln!("internal error: {err:?}");
-                (
-                    StatusCode::INTERNAL_SERVER_ERROR,
-                    "internal server error".to_string(),
-                )
-            }
-        };
-        (status, Json(json!({"error":message}))).into_response()
-    }
-}
-
-#[allow(unused)]
-pub type AppResult<T> = Result<T, AppError>;

service/src/main.rs

@@ -1,6 +1,5 @@
 mod channel;
 mod core;
-mod error;
 mod http;
 mod model;
 mod repository;