fix: 硅基流动 not a vlm 和 tool calling not supported 报错 #305 # 291
perf: 安装和更新插件后全量重启避免奇奇怪怪的bug feat: 支持 /tool off_all 停用所有函数工具
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@@ -83,6 +83,8 @@ class LLMRequestSubStage(Stage):
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# text completion
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event.set_result(MessageEventResult().message(llm_response.completion_text)
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.set_result_content_type(ResultContentType.LLM_RESULT))
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elif llm_response.role == 'err':
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event.set_result(MessageEventResult().message(f"AstrBot 请求失败。\n错误信息: {llm_response.completion_text}"))
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elif llm_response.role == 'tool':
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# function calling
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function_calling_result = {}
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@@ -94,37 +94,11 @@ class ProviderOpenAIOfficial(Provider):
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if tool_list:
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payloads['tools'] = tool_list
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completion = None
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try:
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completion = await self.client.chat.completions.create(
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**payloads,
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stream=False
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)
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except BaseException as e:
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# 处理不支持 Function Calling 的模型
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# issue #305
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# if 'does not support Function Calling' in str(e) \
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# or 'does not support tools' in str(e) \
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# or 'Function call is not supported' in str(e): # siliconcloud
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# del payloads['tools']
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# logger.debug(f"模型 {self.model_name} 不支持 tools,已自动移除")
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# completion = await self.client.chat.completions.create(
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# **payloads,
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# stream=False
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# )
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# else:
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# raise e
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if 'tools' in payloads:
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del payloads['tools']
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logger.debug(f"模型 {self.model_name} 不支持 tools,已自动移除")
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completion = await self.client.chat.completions.create(
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**payloads,
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stream=False
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)
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else:
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raise e
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completion = await self.client.chat.completions.create(
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**payloads,
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stream=False
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)
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assert isinstance(completion, ChatCompletion)
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logger.debug(f"completion: {completion}")
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@@ -179,32 +153,81 @@ class ProviderOpenAIOfficial(Provider):
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"messages": context_query,
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**self.provider_config.get("model_config", {})
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}
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llm_response = None
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try:
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llm_response = await self._query(payloads, func_tool)
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if kwargs.get("persist", True):
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await self.save_history(contexts, new_record, session_id, llm_response)
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return llm_response
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except Exception as e:
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if "maximum context length" in str(e):
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# 重试 10 次
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retry_cnt = 10
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while retry_cnt > 0:
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logger.warning("上下文长度超过限制。尝试弹出最早的记录然后重试。")
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try:
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await self.pop_record(session_id)
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llm_response = await self._query(payloads, func_tool)
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if kwargs.get("persist", True):
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await self.save_history(contexts, new_record, session_id, llm_response)
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return llm_response
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break
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except Exception as e:
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if "maximum context length" in str(e):
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retry_cnt -= 1
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else:
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raise e
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if retry_cnt == 0:
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llm_response = LLMResponse("err", "err: 请尝试 /reset 清除会话记录。")
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elif "The model is not a VLM" in str(e): # siliconcloud
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# 尝试删除所有 image
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print(context_query)
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new_contexts = await self._remove_image_from_context(context_query)
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print(new_contexts)
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payloads['messages'] = new_contexts
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llm_response = await self._query(payloads, func_tool)
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elif 'does not support Function Calling' in str(e) \
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or 'does not support tools' in str(e) \
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or 'Function call is not supported' in str(e) \
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or 'Tool calling is not supported' in str(e): # siliconcloud
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logger.info(f"{self.get_model()} 不支持函数调用工具调用,已经自动去除")
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if 'tools' in payloads:
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del payloads['tools']
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llm_response = await self._query(payloads, None)
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else:
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logger.error(f"发生了错误。Provider 配置如下: {self.provider_config}")
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if 'tool' in str(e).lower() and 'support' in str(e).lower():
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logger.error(f"疑似该模型不支持函数调用工具调用。请输入 /tool off_all")
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raise e
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if kwargs.get("persist", True) and llm_response:
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await self.save_history(contexts, new_record, session_id, llm_response)
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return llm_response
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async def _remove_image_from_context(self, contexts: List):
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'''
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从上下文中删除所有带有 image 的记录
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'''
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new_contexts = []
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flag = False
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for context in contexts:
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if flag:
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flag = False # 删除 image 后,下一条(LLM 响应)也要删除
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continue
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if isinstance(context['content'], list):
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flag = True
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# continue
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new_content = []
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for item in context['content']:
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if isinstance(item, dict) and 'image_url' in item:
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continue
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new_content.append(item)
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if not new_content:
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# 用户只发了图片
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new_content = [{"type": "text", "text": "[图片]"}]
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context['content'] = new_content
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new_contexts.append(context)
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return new_contexts
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async def save_history(self, contexts: List, new_record: dict, session_id: str, llm_response: LLMResponse):
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if llm_response.role == "assistant" and session_id:
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@@ -56,6 +56,7 @@ class PluginRoute(Route):
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try:
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logger.info(f"正在安装插件 {repo_url}")
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await self.plugin_manager.install_plugin(repo_url)
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self.core_lifecycle.restart()
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logger.info(f"安装插件 {repo_url} 成功。")
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return Response().ok(None, "安装成功。").__dict__
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except Exception as e:
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@@ -70,6 +71,7 @@ class PluginRoute(Route):
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file_path = f"data/temp/{file.filename}"
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await file.save(file_path)
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await self.plugin_manager.install_plugin_from_file(file_path)
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self.core_lifecycle.restart()
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logger.info(f"安装插件 {file.filename} 成功")
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return Response().ok(None, "安装成功。").__dict__
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except Exception as e:
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@@ -94,6 +96,7 @@ class PluginRoute(Route):
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try:
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logger.info(f"正在更新插件 {plugin_name}")
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await self.plugin_manager.update_plugin(plugin_name)
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self.core_lifecycle.restart()
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logger.info(f"更新插件 {plugin_name} 成功。")
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return Response().ok(None, "更新成功。").__dict__
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except Exception as e:
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@@ -91,7 +91,7 @@ class Main(star.Star):
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active = " (启用)" if tool.active else "(停用)"
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msg += f"- {tool.name}: {tool.description} {active}\n"
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msg += "\n使用 /tool on/off <工具名> 激活或者停用工具。"
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msg += "\n使用 /tool on/off <工具名> 激活或者停用函数工具。/tool off_all 停用所有函数工具。"
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event.set_result(MessageEventResult().message(msg).use_t2i(False))
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@tool.command("on")
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@@ -107,6 +107,13 @@ class Main(star.Star):
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event.set_result(MessageEventResult().message(f"停用工具 {tool_name} 成功。"))
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else:
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event.set_result(MessageEventResult().message(f"停用工具 {tool_name} 失败,未找到此工具。"))
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@tool.command("off_all")
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async def tool_all_off(self, event: AstrMessageEvent):
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tm = self.context.get_llm_tool_manager()
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for tool in tm.func_list:
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self.context.deactivate_llm_tool(tool.name)
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event.set_result(MessageEventResult().message(f"停用所有工具成功。"))
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@filter.command("plugin")
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async def plugin(self, event: AstrMessageEvent, oper1: str = None, oper2: str = None):
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