fix: restore files removed by mistake and keep zip ignored

agentapp.py

@@ -0,0 +1,94 @@
+import os, sys
+if sys.stdout is None: sys.stdout = open(os.devnull, "w")
+if sys.stderr is None: sys.stderr = open(os.devnull, "w")
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
+
+
+import streamlit as st
+import time, json, re
+
+with open('tools_schema.json', 'r', encoding='utf-8') as f:
+    TOOLS_SCHEMA = json.load(f)
+
+
+st.set_page_config(page_title="Cowork", layout="wide")
+
+from sidercall import SiderLLMSession, LLMSession, ToolClient
+from agent_loop import agent_runner_loop, StepOutcome, BaseHandler
+
+@st.cache_resource
+def init():
+    mainllm = SiderLLMSession(multiturns=6)
+    llmclient = ToolClient(mainllm.ask, auto_save_tokens=True)
+    return llmclient
+
+llmclient = init()
+
+from ga import GenericAgentHandler
+
+def get_system_prompt():
+    with open('sys_prompt.txt', 'r', encoding='utf-8') as f:
+        return f.read()
+
+if "last_goal" not in st.session_state:
+    st.session_state.last_goal = ""
+
+def refine_user_goal(raw_query, last_goal):
+    """通过 LLM 提炼用户真实意图"""
+    if not last_goal:
+        return raw_query
+
+    decide_prompt = f"""
+用户之前的目标是: "{last_goal}"
+用户现在输入了: "{raw_query}"
+
+请判断：
+1. 如果用户提供补充信息、或者是接续之前的任务，请输出合并后的【最终目标】。
+2. 如果用户只是指出之前做法有错而非变更目标，那么请输出原目标不做修改。
+3. 如果用户开启了一个完全不相关的新话题，请直接输出用户现在的输入内容。
+
+请直接输出目标描述，不要包含任何多余的文字、解释或标点。
+"""
+    try:
+        refined = llmclient.llm_func(decide_prompt).strip()
+        return refined if refined else raw_query
+    except:
+        return raw_query
+
+def agent_backend_stream(raw_query):
+    final_goal = refine_user_goal(raw_query, st.session_state.last_goal)
+    
+    if final_goal != raw_query:
+        yield f"[Goal Refined] {final_goal}\n"
+
+    sys_prompt = get_system_prompt()
+    handler = GenericAgentHandler(None, final_goal, './temp')
+    llmclient.last_tools = ''   
+    ret = yield from agent_runner_loop(llmclient,
+        sys_prompt, raw_query, handler,
+        TOOLS_SCHEMA, max_turns=25)
+    st.session_state.last_goal = final_goal
+    return ret
+
+st.title("🖥️ Cowork")
+
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+for msg in st.session_state.messages:
+    with st.chat_message(msg["role"]):
+        st.markdown(msg["content"])
+
+if prompt := st.chat_input("请输入指令"):
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    with st.chat_message("user"):
+        st.markdown(prompt)
+
+    with st.chat_message("assistant"):
+        message_placeholder = st.empty()
+        full_response = ""
+        for chunk in agent_backend_stream(prompt):
+            full_response += chunk
+            message_placeholder.markdown(full_response + "▌")
+        message_placeholder.markdown(full_response)
+    st.session_state.messages.append({"role": "assistant", "content": full_response})