Refactor LLM backend structure and optimize config/launch

This commit is contained in:
Jiaqing Liang
2026-02-06 14:18:09 +08:00
parent de0cce72e0
commit 70d7894898
4 changed files with 80 additions and 35 deletions

View File

@@ -34,7 +34,7 @@ class GeneraticAgent:
["gemini-3.0-flash", "claude-haiku-4.5", "kimi-k2"]] ["gemini-3.0-flash", "claude-haiku-4.5", "kimi-k2"]]
if oai_apikey: llm_sessions += [LLMSession(api_key=oai_apikey, api_base=oai_apibase)] if oai_apikey: llm_sessions += [LLMSession(api_key=oai_apikey, api_base=oai_apibase)]
if len(llm_sessions) > 0: if len(llm_sessions) > 0:
llmclient = ToolClient([x.ask for x in llm_sessions], auto_save_tokens=True) llmclient = ToolClient(llm_sessions, auto_save_tokens=True)
self.llmclient = llmclient self.llmclient = llmclient
else: else:
self.llmclient = None self.llmclient = None
@@ -50,18 +50,20 @@ class GeneraticAgent:
self.handler = None self.handler = None
def next_llm(self): def next_llm(self):
self.llm_no = (self.llm_no + 1) % len(self.llmclient.raw_apis) self.llm_no = (self.llm_no + 1) % len(self.llmclient.backends)
self.llmclient.last_tools = '' self.llmclient.last_tools = ''
def abort(self): def abort(self):
print('About to abort current task...') print('Abort current task...')
if not self.is_running: return if not self.is_running: return
self.stop_sig = True self.stop_sig = True
if self.handler is not None: if self.handler is not None:
self.handler.code_stop_signal.append(1) self.handler.code_stop_signal.append(1)
def put_task(self, query, source="user"): def put_task(self, query, source="user"):
self.display_queue.queue.clear() while self.display_queue.qsize() > 0:
try: self.display_queue.get_nowait()
except queue.Empty: break
self.task_queue.put({"query": query, "source": source}) self.task_queue.put({"query": query, "source": source})
def run(self): def run(self):
@@ -78,7 +80,7 @@ class GeneraticAgent:
sys_prompt = get_system_prompt() sys_prompt = get_system_prompt()
handler = GenericAgentHandler(None, self.history, './temp') handler = GenericAgentHandler(None, self.history, './temp')
self.handler = handler self.handler = handler
self.llmclient.raw_api = self.llmclient.raw_apis[self.llm_no] self.llmclient.backend = self.llmclient.backends[self.llm_no]
gen = agent_runner_loop(self.llmclient, sys_prompt, gen = agent_runner_loop(self.llmclient, sys_prompt,
raw_query, handler, TOOLS_SCHEMA, max_turns=25) raw_query, handler, TOOLS_SCHEMA, max_turns=25)

View File

@@ -19,11 +19,11 @@ def get_screen_width():
# 如果不是 Windows 或者出错了,返回一个兜底值 (比如 1920) # 如果不是 Windows 或者出错了,返回一个兜底值 (比如 1920)
return 1920 return 1920
def start_streamlit(): def start_streamlit(port):
global proc global proc
cmd = [ cmd = [
sys.executable, "-m", "streamlit", "run", "stapp.py", sys.executable, "-m", "streamlit", "run", "stapp.py",
"--server.port", "8501", "--server.port", str(port),
"--server.headless", "true", "--server.headless", "true",
"--theme.base", "dark" #以此默认开启暗黑模式,更有极客感 "--theme.base", "dark" #以此默认开启暗黑模式,更有极客感
] ]
@@ -31,7 +31,8 @@ def start_streamlit():
atexit.register(proc.kill) atexit.register(proc.kill)
if __name__ == '__main__': if __name__ == '__main__':
t = threading.Thread(target=start_streamlit, daemon=True) port = sys.argv[1] if len(sys.argv) > 1 else "8501"
t = threading.Thread(target=start_streamlit, args=(port,), daemon=True)
t.start() t.start()
if os.name == 'nt': if os.name == 'nt':
screen_width = get_screen_width() screen_width = get_screen_width()
@@ -40,7 +41,7 @@ if __name__ == '__main__':
time.sleep(2) time.sleep(2)
webview.create_window( webview.create_window(
title='GenericAgent', title='GenericAgent',
url='http://localhost:8501', url=f'http://localhost:{port}',
width=WINDOW_WIDTH, width=WINDOW_WIDTH,
height=WINDOW_HEIGHT, height=WINDOW_HEIGHT,
x=x_pos, y=TOP_PADDING, x=x_pos, y=TOP_PADDING,

View File

@@ -1,14 +1,22 @@
import os, json, re, time, requests, sys, threading import os, json, re, time, requests, sys, threading
try: from mykey import sider_cookie try: import mykey
except ImportError: sider_cookie = "" except: raise Exception('[ERROR] mykey.py not found, please copy mykey_template.py to mykey.py and fill your LLM backend.')
try: from mykey import oai_apikey, oai_apibase, oai_model
except ImportError: oai_apikey = oai_apibase = oai_model = "" def get_config(name, default=""): return getattr(mykey, name, default)
sider_cookie = get_config("sider_cookie")
oai_apikey = get_config("oai_apikey")
oai_apibase = get_config("oai_apibase")
oai_model = get_config("oai_model")
google_api_key = get_config("google_api_key")
proxy = get_config("proxy", 'http://127.0.0.1:2082')
proxies = {"http": proxy, "https": proxy} if proxy else None
class SiderLLMSession: class SiderLLMSession:
def __init__(self, default_model="gemini-3.0-flash"): def __init__(self, default_model="gemini-3.0-flash"):
from sider_ai_api import Session from sider_ai_api import Session
self._core = Session(cookie=sider_cookie, proxies={'https':'127.0.0.1:2082'}) self._core = Session(cookie=sider_cookie, proxies=proxies)
self.default_model = default_model self.default_model = default_model
def ask(self, prompt, model=None, stream=False): def ask(self, prompt, model=None, stream=False):
if model is None: model = self.default_model if model is None: model = self.default_model
@@ -19,6 +27,34 @@ class SiderLLMSession:
if stream: return iter([full_text]) # gen有奇怪的空回复或死循环行为sider足够快 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 return full_text
class GeminiSession:
def __init__(self, api_key=None, default_model="gemini-2.0-flash-001", proxy=proxy):
self.api_key = api_key or google_api_key
if not self.api_key: raise ValueError("google_api_key 未配置或为空,请在 mykey.py 中设置")
self.default_model = default_model
self.proxies = {"http":proxy, "https":proxy} if proxy else None
def ask(self, prompt, model=None, stream=False):
if model is None: model = self.default_model
url = f"https://generativelanguage.googleapis.com/v1/models/{model}:generateContent?key={self.api_key}"
headers = {"Content-Type":"application/json"}
data = {"contents":[{"role":"user","parts":[{"text":prompt}]}]}
try:
kw = {"headers":headers, "json":data, "timeout":60, 'proxies': self.proxies}
r = requests.post(url, **kw)
except Exception as e:
return f"[GeminiError] request failed: {e}"
if r.status_code != 200:
body = r.text[:500].replace("\n"," ")
return f"[GeminiError] HTTP {r.status_code}: {body}"
try:
obj = r.json(); cands = obj.get("candidates") or []
if not cands: return "[GeminiError] empty candidates"
parts = (cands[0].get("content") or {}).get("parts") or []
full_text = "".join(p.get("text","") for p in parts)
except Exception as e:
return f"[GeminiError] invalid response format: {e}"
return iter([full_text]) if stream else full_text
class LLMSession: class LLMSession:
def __init__(self, api_key=oai_apikey, api_base=oai_apibase, model=oai_model, context_win=12000): def __init__(self, api_key=oai_apikey, api_base=oai_apibase, model=oai_model, context_win=12000):
self.api_key = api_key self.api_key = api_key
@@ -26,11 +62,11 @@ class LLMSession:
self.raw_msgs = [] self.raw_msgs = []
self.messages = [] self.messages = []
self.context_win = context_win self.context_win = context_win
self.model = model self.default_model = model
self.lock = threading.Lock() self.lock = threading.Lock()
def raw_ask(self, messages, model=None, temperature=0.5): def raw_ask(self, messages, model=None, temperature=0.5):
if model is None: model = self.model if model is None: model = self.default_model
headers = {"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json", "Accept": "text/event-stream"} headers = {"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json", "Accept": "text/event-stream"}
payload = {"model": model, "messages": messages, "temperature": temperature, "stream": True} payload = {"model": model, "messages": messages, "temperature": temperature, "stream": True}
try: try:
@@ -69,7 +105,7 @@ class LLMSession:
return messages return messages
def summary_history(self, model=None): def summary_history(self, model=None):
if model is None: model = self.model if model is None: model = self.default_model
with self.lock: with self.lock:
keep = 0; tok = 0 keep = 0; tok = 0
for m in reversed(self.raw_msgs): for m in reversed(self.raw_msgs):
@@ -90,7 +126,7 @@ class LLMSession:
else: self.raw_msgs = old + self.raw_msgs # 不做了,下次再做 else: self.raw_msgs = old + self.raw_msgs # 不做了,下次再做
def ask(self, prompt, model=None, image_base64=None, stream=False): def ask(self, prompt, model=None, image_base64=None, stream=False):
if model is None: model = self.model if model is None: model = self.default_model
def _ask_gen(): def _ask_gen():
content = '' content = ''
with self.lock: with self.lock:
@@ -132,10 +168,10 @@ class MockResponse:
return f"<MockResponse thinking={bool(self.thinking)}, content='{self.content}', tools={bool(self.tool_calls)}>" return f"<MockResponse thinking={bool(self.thinking)}, content='{self.content}', tools={bool(self.tool_calls)}>"
class ToolClient: class ToolClient:
def __init__(self, raw_api_func, auto_save_tokens=False): def __init__(self, backends, auto_save_tokens=False):
if isinstance(raw_api_func, list): self.raw_apis = raw_api_func if isinstance(backends, list): self.backends = backends
else: self.raw_apis = [raw_api_func] else: self.backends = [backends]
self.raw_api = self.raw_apis[0] self.backend = self.backends[0]
self.auto_save_tokens = auto_save_tokens self.auto_save_tokens = auto_save_tokens
self.last_tools = '' self.last_tools = ''
self.total_cd_tokens = 0 self.total_cd_tokens = 0
@@ -145,7 +181,7 @@ class ToolClient:
print("Full prompt length:", len(full_prompt), 'chars') print("Full prompt length:", len(full_prompt), 'chars')
with open('model_responses.txt', 'a', encoding='utf-8', errors="replace") as f: with open('model_responses.txt', 'a', encoding='utf-8', errors="replace") as f:
f.write(f"=== Prompt ===\n{full_prompt}\n") f.write(f"=== Prompt ===\n{full_prompt}\n")
gen = self.raw_api(full_prompt, stream=True) gen = self.backend.ask(full_prompt, stream=True)
raw_text = ''; summarytag = '[NextWillSummary]' raw_text = ''; summarytag = '[NextWillSummary]'
for chunk in gen: for chunk in gen:
raw_text += chunk; raw_text += chunk;
@@ -243,19 +279,26 @@ def tryparse(json_str):
return json.loads(json_str[:-1]) return json.loads(json_str[:-1])
if __name__ == "__main__": if __name__ == "__main__":
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) import sys, os
try: from mykey import sider_cookie sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
except ImportError: sider_cookie = "" try:
try: from mykey import oai_apikey, oai_apibase, oai_model import mykey
except ImportError: oai_apikey = oai_apibase = oai_model = "" except ImportError:
class MockMyKey: pass
mykey = MockMyKey()
sider_cookie = get_config("sider_cookie")
oai_apikey = get_config("oai_apikey")
oai_apibase = get_config("oai_apibase")
oai_model = get_config("oai_model")
google_api_key = get_config("google_api_key")
llmclient = ToolClient(LLMSession(api_key=oai_apikey, api_base=oai_apibase, model=oai_model).ask) llmclient = ToolClient(GeminiSession(api_key=google_api_key, proxy='127.0.0.1:2082').ask)
print(llmclient.raw_api("Hello, world!", stream=False)) #llmclient = ToolClient(LLMSession(api_key=oai_apikey, api_base=oai_apibase, model=oai_model).ask)
#llmclient = ToolClient(SiderLLMSession().ask) #llmclient = ToolClient(SiderLLMSession().ask)
def get_final(gen): def get_final(gen):
try: try:
while True: while True: print('mid:', next(gen))
print('mid:', next(gen))
except StopIteration as e: except StopIteration as e:
return e.value return e.value

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@@ -27,13 +27,12 @@ if "idle_buf" not in st.session_state: st.session_state.idle_buf = ""
if "messages" not in st.session_state: st.session_state.messages = [] if "messages" not in st.session_state: st.session_state.messages = []
for msg in st.session_state.messages: for msg in st.session_state.messages:
with st.chat_message(msg["role"]): with st.chat_message(msg["role"]): st.markdown(msg["content"])
st.markdown(msg["content"])
@st.fragment @st.fragment
def render_llm_switcher(): def render_llm_switcher():
current_idx = agent.llm_no current_idx = agent.llm_no
st.caption(f"LLM Core: {current_idx}") st.caption(f"LLM Core: {current_idx}: {agent.llmclient.backends[current_idx].default_model}", help="点击切换备用链路")
if st.button("切换备用链路"): if st.button("切换备用链路"):
agent.next_llm() agent.next_llm()
st.rerun(scope="fragment") st.rerun(scope="fragment")