fix: rename zhipu bot_type, persist bot_type in web config, fix re.sub escape error

- Rename ZHIPU_AI bot type from glm-4 to zhipu to avoid confusion with model names

- Add bot_type persistence in web config to fix provider dropdown resetting on refresh

- Change OpenAI provider key to chatGPT to match bot_factory routing

- Add DEEPSEEK constant and route it to ChatGPTBot (OpenAI-compatible API)

- Keep backward compatibility for legacy bot_type glm-4 in bot_factory

- Fix re.sub bad escape error on Windows paths by using lambda replacement

- Remove unused pydantic import in minimax_bot.py

Made-with: Cursor

agent/protocol/agent.py

@@ -166,7 +166,8 @@ class Agent:
             # Find and replace the runtime section
             import re
             pattern = r'\n## 运行时信息\s*\n.*?(?=\n##|\Z)'
-            updated_prompt = re.sub(pattern, new_runtime_section.rstrip('\n'), prompt, flags=re.DOTALL)
+            _repl = new_runtime_section.rstrip('\n')
+            updated_prompt = re.sub(pattern, lambda m: _repl, prompt, flags=re.DOTALL)
             
             return updated_prompt
         except Exception as e:
@@ -195,7 +196,9 @@ class Agent:
 
             if has_old_block:
                 replacement = new_block or "<available_skills>\n</available_skills>"
-                prompt = re.sub(old_block_pattern, replacement, prompt, flags=re.DOTALL)
+                # Use lambda to prevent re.sub from interpreting backslashes in replacement
+                # (e.g. Windows paths like \LinkAI would be treated as bad escape sequences)
+                prompt = re.sub(old_block_pattern, lambda m: replacement, prompt, flags=re.DOTALL)
             elif new_block:
                 skills_header = "以下是可用技能："
                 idx = prompt.find(skills_header)
@@ -224,7 +227,7 @@ class Agent:
 
             # Replace existing tooling section
             pattern = r'## 工具系统\s*\n.*?(?=\n## |\Z)'
-            updated = re.sub(pattern, new_section, prompt, count=1, flags=re.DOTALL)
+            updated = re.sub(pattern, lambda m: new_section, prompt, count=1, flags=re.DOTALL)
             return updated
         except Exception as e:
             logger.warning(f"Failed to rebuild tool list section: {e}")

channel/web/static/js/console.js

@@ -908,7 +908,9 @@ function initConfigView(data) {
     const providerOpts = Object.entries(configProviders).map(([pid, p]) => ({ value: pid, label: p.label }));
 
     // if use_linkai is enabled, always select linkai as the provider
-    const detected = data.use_linkai ? 'linkai' : detectProvider(configCurrentModel);
+    // Otherwise prefer bot_type from config, fall back to model-based detection
+    const detected = data.use_linkai ? 'linkai'
+        : (data.bot_type && configProviders[data.bot_type] ? data.bot_type : detectProvider(configCurrentModel));
     cfgProviderValue = detected || (providerOpts[0] ? providerOpts[0].value : '');
 
     initDropdown(providerEl, providerOpts, cfgProviderValue, onProviderChange);
@@ -1062,6 +1064,14 @@ function saveModelConfig() {
     const updates = { model: model };
     const p = configProviders[cfgProviderValue];
     updates.use_linkai = (cfgProviderValue === 'linkai');
+    // Save bot_type for bot_factory routing.
+    // Most providers use their key directly as bot_type.
+    // linkai uses use_linkai flag instead of bot_type.
+    if (cfgProviderValue === 'linkai') {
+        updates.bot_type = '';
+    } else {
+        updates.bot_type = cfgProviderValue;
+    }
     if (p && p.api_base_key) {
         const base = document.getElementById('cfg-api-base').value.trim();
         if (base) updates[p.api_base_key] = base;

channel/web/web_channel.py

@@ -406,7 +406,7 @@ class ConfigHandler:
             "api_base_default": None,
             "models": [const.MINIMAX_M2_5, const.MINIMAX_M2_1, const.MINIMAX_M2_1_LIGHTNING],
         }),
-        ("glm-4", {
+        ("zhipu", {
             "label": "智谱AI",
             "api_key_field": "zhipu_ai_api_key",
             "api_base_key": "zhipu_ai_api_base",
@@ -448,7 +448,7 @@ class ConfigHandler:
             "api_base_default": "https://generativelanguage.googleapis.com",
             "models": [const.GEMINI_31_PRO_PRE, const.GEMINI_3_FLASH_PRE],
         }),
-        ("openAI", {
+        ("chatGPT", {
             "label": "OpenAI",
             "api_key_field": "open_ai_api_key",
             "api_base_key": "open_ai_api_base",
@@ -472,7 +472,7 @@ class ConfigHandler:
     ])
 
     EDITABLE_KEYS = {
-        "model", "use_linkai",
+        "model", "bot_type", "use_linkai",
         "open_ai_api_base", "claude_api_base", "gemini_api_base",
         "zhipu_ai_api_base", "moonshot_base_url", "ark_base_url",
         "open_ai_api_key", "claude_api_key", "gemini_api_key",
@@ -522,6 +522,7 @@ class ConfigHandler:
                 "use_agent": use_agent,
                 "title": title,
                 "model": local_config.get("model", ""),
+                "bot_type": local_config.get("bot_type", ""),
                 "use_linkai": bool(local_config.get("use_linkai", False)),
                 "channel_type": local_config.get("channel_type", ""),
                 "agent_max_context_tokens": local_config.get("agent_max_context_tokens", 50000),

common/const.py

@@ -9,9 +9,10 @@ CLAUDEAPI= "claudeAPI"
 QWEN = "qwen"  # 旧版千问接入
 QWEN_DASHSCOPE = "dashscope"  # 新版千问接入(百炼)
 GEMINI = "gemini" 
-ZHIPU_AI = "glm-4"
+ZHIPU_AI = "zhipu"  
 MOONSHOT = "moonshot"
 MiniMax = "minimax"
+DEEPSEEK = "deepseek"
 MODELSCOPE = "modelscope"
 
 # 模型列表

models/bot_factory.py

@@ -17,8 +17,7 @@ def create_bot(bot_type):
         from models.baidu.baidu_wenxin import BaiduWenxinBot
         return BaiduWenxinBot()
 
-    elif bot_type == const.CHATGPT:
-        # ChatGPT 网页端web接口
+    elif bot_type in (const.CHATGPT, const.DEEPSEEK):  # DeepSeek uses OpenAI-compatible API
         from models.chatgpt.chat_gpt_bot import ChatGPTBot
         return ChatGPTBot()
 
@@ -53,7 +52,7 @@ def create_bot(bot_type):
         from models.gemini.google_gemini_bot import GoogleGeminiBot
         return GoogleGeminiBot()
 
-    elif bot_type == const.ZHIPU_AI:
+    elif bot_type == const.ZHIPU_AI or bot_type == "glm-4":  # "glm-4" kept for backward compatibility
         from models.zhipuai.zhipuai_bot import ZHIPUAIBot
         return ZHIPUAIBot()
 

models/minimax/minimax_bot.py

@@ -2,7 +2,6 @@
 
 import time
 import json
-from pydantic.types import T
 import requests
 
 from models.bot import Bot