fix: empty file ZeroDivisionError in file_read; remove SiderLLMSession; init global_mem with header

agentmain.py

@@ -5,7 +5,7 @@ if sys.stderr is None: sys.stderr = open(os.devnull, "w")
 elif hasattr(sys.stderr, 'reconfigure'): sys.stderr.reconfigure(errors='replace')
 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
 
-from llmcore import SiderLLMSession, LLMSession, ToolClient, ClaudeSession, MixinSession, NativeToolClient, NativeClaudeSession, NativeOAISession
+from llmcore import LLMSession, ToolClient, ClaudeSession, MixinSession, NativeToolClient, NativeClaudeSession, NativeOAISession
 from agent_loop import agent_runner_loop
 from ga import GenericAgentHandler, smart_format, get_global_memory, format_error, consume_file
 
@@ -19,7 +19,7 @@ load_tool_schema()
 mem_dir = os.path.join(script_dir, 'memory')
 if not os.path.exists(mem_dir): os.makedirs(mem_dir)
 mem_txt = os.path.join(mem_dir, 'global_mem.txt')
-if not os.path.exists(mem_txt): open(mem_txt, 'w', encoding='utf-8').write('')
+if not os.path.exists(mem_txt): open(mem_txt, 'w', encoding='utf-8').write('# [Global Memory - L2]\n')
 mem_insight = os.path.join(mem_dir, 'global_mem_insight.txt')
 if not os.path.exists(mem_insight):
     t = os.path.join(script_dir, 'assets/global_mem_insight_template.txt')
@@ -50,8 +50,6 @@ class GeneraticAgent:
                 elif 'native' in k and 'oai' in k: llm_sessions += [NativeToolClient(NativeOAISession(cfg=cfg))]
                 elif 'claude' in k: llm_sessions += [ToolClient(ClaudeSession(cfg=cfg))]
                 elif 'oai' in k: llm_sessions += [ToolClient(LLMSession(cfg=cfg))]
-                elif 'sider' in k: llm_sessions += [ToolClient(SiderLLMSession(cfg={'apikey': cfg, 'model': x})) for x in \
-                                    ["gemini-3.0-flash", "gpt-5.4"]]
                 elif 'mixin' in k: llm_sessions += [{'mixin_cfg': cfg}]
             except: pass
         for i, s in enumerate(llm_sessions):

ga.py

@@ -243,7 +243,7 @@ def file_read(path, start=1, keyword=None, count=200, show_linenos=True):
                 else: return f"Keyword '{keyword}' not found after line {start}. Falling back to content from line {start}:\n\n" \
                                + file_read(path, start, None, count, show_linenos)
             else: res = list(itertools.islice(stream, count))
-            realcnt = len(res); L_MAX = min(max(100, 256000//realcnt), 8000); TAG = " ... [TRUNCATED]"
+            realcnt = len(res); L_MAX = min(max(100, 256000//max(realcnt,1)), 8000); TAG = " ... [TRUNCATED]"
             remaining = sum(1 for _ in itertools.islice(stream, 5000))
             total_lines = (res[0][0] - 1 if res else start - 1) + realcnt + remaining
             total_tag = "[FILE] Total " + (f"{total_lines}+" if remaining >= 5000 else str(total_lines)) + ' lines\n'

llmcore.py

@@ -91,20 +91,6 @@ def auto_make_url(base, path):
     if b.endswith(p): return b
     return f"{b}/{p}" if re.search(r'/v\d+(/|$)', b) else f"{b}/v1/{p}"
 
-class SiderLLMSession:
-    def __init__(self, cfg):
-        from sider_ai_api import Session   # 不使用sider的话没必要安装这个包
-        self._core = Session(cookie=cfg['apikey'], proxies=proxies)   
-        self.model = cfg.get('model', 'gemini-3.0-flash')
-    def ask(self, prompt, stream=False):
-        model = self.model
-        if len(prompt) > 28000: 
-            print(f"[Warn] Prompt too long ({len(prompt)} chars), truncating.")
-            prompt = prompt[-28000:]
-        full_text = self._core.chat(prompt, model, stream=False)
-        if stream: return iter([full_text])   # gen有奇怪的空回复或死循环行为，sider足够快
-        return full_text   
-
 def _parse_claude_sse(resp_lines):
     """Parse Anthropic SSE stream. Yields text chunks, returns list[content_block]."""
     content_blocks = []; current_block = None; tool_json_buf = ""