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16
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
16
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
@@ -3,22 +3,6 @@ description: 报错或漏洞请使用这个模板创建,不使用此模板创
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title: "[Bug]: "
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labels: ["bug?"]
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body:
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- type: dropdown
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attributes:
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label: 消息平台适配器
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description: "接入的消息平台类型"
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options:
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- 其他(或暂未使用)
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- Nakuru(go-cqhttp)
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- aiocqhttp(使用 OneBot 协议接入的)
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- qq-botpy(QQ官方API WebSocket)
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- qqofficial(QQ官方API Webhook)
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- lark(飞书)
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- wecom(企业微信)
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- gewechat(个人微信)
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- discord
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validations:
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required: true
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- type: input
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attributes:
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label: 运行环境
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@@ -343,7 +343,6 @@ class LarkAdapter(adapter.MessagePlatformAdapter):
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type = context.header.event_type
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if 'url_verification' == type:
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print(data.get("challenge"))
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# todo 验证verification token
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return {
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"challenge": data.get("challenge")
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@@ -127,7 +127,7 @@ class TelegramEventConverter(adapter.EventConverter):
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time=event.message.date.timestamp(),
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source_platform_object=event
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)
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elif event.effective_chat.type == 'group':
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elif event.effective_chat.type == 'group' or 'supergroup' :
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return platform_events.GroupMessage(
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sender=platform_entities.GroupMember(
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id=event.effective_chat.id,
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@@ -202,9 +202,12 @@ class TelegramAdapter(adapter.MessagePlatformAdapter):
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for component in components:
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if component['type'] == 'text':
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content = telegramify_markdown.markdownify(
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content= component['text'],
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)
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if self.config['markdown_card'] is True:
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content = telegramify_markdown.markdownify(
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content= component['text'],
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)
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else:
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content = component['text']
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args = {
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"chat_id": message_source.source_platform_object.effective_chat.id,
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"text": content,
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@@ -2,12 +2,12 @@ from __future__ import annotations
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import openai
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from . import chatcmpl
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from . import chatcmpl, modelscopechatcmpl
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from .. import requester
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from ....core import app
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class BailianChatCompletions(chatcmpl.OpenAIChatCompletions):
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class BailianChatCompletions(modelscopechatcmpl.ModelScopeChatCompletions):
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"""阿里云百炼大模型平台 ChatCompletion API 请求器"""
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client: openai.AsyncClient
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@@ -18,3 +18,4 @@ class BailianChatCompletions(chatcmpl.OpenAIChatCompletions):
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self.ap = ap
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self.requester_cfg = self.ap.provider_cfg.data['requester']['bailian-chat-completions']
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@@ -61,6 +61,12 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
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if 'role' not in chatcmpl_message or chatcmpl_message['role'] is None:
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chatcmpl_message['role'] = 'assistant'
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reasoning_content = chatcmpl_message['reasoning_content'] if 'reasoning_content' in chatcmpl_message else None
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# deepseek的reasoner模型
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if reasoning_content is not None:
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chatcmpl_message['content'] = "<think>\n" + reasoning_content + "\n</think>\n\n"+ chatcmpl_message['content']
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message = llm_entities.Message(**chatcmpl_message)
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return message
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@@ -42,8 +42,8 @@ class MoonshotChatCompletions(chatcmpl.OpenAIChatCompletions):
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if 'content' in m and isinstance(m["content"], list):
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m["content"] = " ".join([c["text"] for c in m["content"]])
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# 删除空的
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messages = [m for m in messages if m["content"].strip() != ""]
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# 删除空的,不知道干嘛的,直接删了。
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# messages = [m for m in messages if m["content"].strip() != "" and ('tool_calls' not in m or not m['tool_calls'])]
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args["messages"] = messages
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@@ -1,4 +1,4 @@
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semantic_version = "v3.4.13"
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semantic_version = "v3.4.13.1"
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debug_mode = False
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@@ -37,4 +37,5 @@ mcp
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slack_sdk
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telegramify-markdown
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# indirect
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taskgroup==0.0.0a4
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taskgroup==0.0.0a4
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python-socks
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