src/agent/agent_loop.rs

@@ -642,6 +642,17 @@ fn chat_message_to_llm_message(m: &ChatMessage, image_budget: &mut ImageInlineBu
     }
 }
 
+fn chat_message_to_text_only_llm_message(m: &ChatMessage) -> Message {
+    Message {
+        role: m.role.clone(),
+        content: vec![ContentBlock::text(&m.content)],
+        reasoning_content: m.reasoning_content.clone(),
+        tool_call_id: m.tool_call_id.clone(),
+        name: m.tool_name.clone(),
+        tool_calls: m.tool_calls.clone(),
+    }
+}
+
 /// AgentLoop - Stateless agent that processes messages with tool calling support.
 /// History is managed externally by SessionManager.
 pub struct AgentLoop {

src/cli/init.rs

@@ -556,7 +556,7 @@ impl InitWizard {
         let agent = AgentConfig {
             provider: selected_provider.clone(),
             model: selected_model.clone(),
-            max_tool_iterations: 1000,
+            max_tool_iterations: 100,
             tool_result_max_chars: 100_000,
             context_tool_result_trim_chars: 2000,
         };

src/config/mod.rs

@@ -479,7 +479,7 @@ pub struct AgentConfig {
 }
 
 fn default_max_tool_iterations() -> usize {
-    1000
+    100
 }
 
 fn default_tool_result_max_chars() -> usize {
@@ -1456,7 +1456,7 @@ mod tests {
     }
 
     #[test]
-    fn test_agent_config_defaults_max_tool_iterations_to_1000() {
+    fn test_agent_config_defaults_max_tool_iterations_to_100() {
         let file = tempfile::NamedTempFile::new().unwrap();
         std::fs::write(
             file.path(),
@@ -1485,7 +1485,7 @@ mod tests {
         .unwrap();
 
         let config = Config::load(file.path().to_str().unwrap()).unwrap();
-        assert_eq!(config.agents["default"].max_tool_iterations, 1000);
+        assert_eq!(config.agents["default"].max_tool_iterations, 100);
         assert_eq!(config.agents["default"].tool_result_max_chars, 100_000);
         assert_eq!(
             config.agents["default"].context_tool_result_trim_chars,

src/gateway/agent_md_template.md

@@ -1,6 +0,0 @@
-<!-- # 自定义 Agent 配置 -->
-<!--
-在此处添加你的自定义指令。
-此文件的内容将注入到 agent 的 system prompt 中。
-支持 Markdown 语法。
--->

src/gateway/session.rs

@@ -512,8 +512,7 @@ impl Session {
             .unwrap_or(false)
     }
 
-    #[cfg(test)]
-    fn matches_current_user_turn(&self, topic_id: &str, message: &ChatMessage) -> bool {
+    pub(crate) fn matches_current_user_turn(&self, topic_id: &str, message: &ChatMessage) -> bool {
         self.history.matches_current_user_turn(topic_id, message)
     }
 

src/gateway/session_history.rs

@@ -220,7 +220,6 @@ impl SessionHistory {
             .and_then(|history| history.iter().rev().find(|message| message.role == "user"))
     }
 
-    #[cfg(test)]
     pub(crate) fn matches_current_user_turn(&self, topic_id: &str, message: &ChatMessage) -> bool {
         self.latest_user_message(topic_id)
             .map(|current| {

src/providers/openai.rs

@@ -3,7 +3,6 @@ use futures_util::StreamExt;
 use reqwest::Client;
 use serde::Deserialize;
 use serde_json::{Value, json};
-use std::collections::BTreeMap;
 use std::collections::HashMap;
 use std::time::Duration;
 
@@ -26,7 +25,7 @@ struct StreamingToolCall {
 struct StreamingAccumulator {
     content: String,
     reasoning_content: Option<String>,
-    tool_calls: BTreeMap<usize, StreamingToolCall>,
+    tool_calls: HashMap<usize, StreamingToolCall>,
     response_id: String,
 }
 

src/skills/mod.rs

@@ -1232,7 +1232,6 @@ mod tests {
                 SkillSource::Project,
                 SkillSource::ProjectAgent,
                 SkillSource::ProjectOpenclaw,
-                SkillSource::Custom("unknown".to_string()),
             ]
         );
     }