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https://github.com/guohuadeng/app-odoo.git
synced 2025-02-23 04:11:36 +02:00
[17] app_ai_kimi
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@@ -10,7 +10,7 @@
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{
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'name': 'ChatGPT4, China Ali,AiGC Center.Ai服务中心,聚合全网Ai',
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'version': '17.0.25.02.10',
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'version': '17.0.25.02.11',
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'author': 'odooai.cn',
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'company': 'odooai.cn',
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'maintainer': 'odooai.cn',
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@@ -132,13 +132,17 @@ GPT-3 A set of models that can understand and generate natural language
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# hook,都正常
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return False
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def get_msg_file_content(self, message):
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# hook
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return False
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def get_ai(self, data, author_id=False, answer_id=False, param={}):
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# 通用方法
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# author_id: 请求的 partner_id 对象
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# answer_id: 回答的 partner_id 对象
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# param,dict 形式的参数
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# 调整输出为2个参数:res_post详细内容,is_ai是否ai的响应
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self.ensure_one()
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# 前置勾子,一般返回 False,有问题返回响应内容,用于处理敏感词等
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res_pre = self.get_ai_pre(data, author_id, answer_id, param)
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@@ -148,7 +152,7 @@ GPT-3 A set of models that can understand and generate natural language
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if not hasattr(self, 'get_%s' % self.provider):
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res = _('No robot provider found')
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return res, {}, False
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res = getattr(self, 'get_%s' % self.provider)(data, author_id, answer_id, param)
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# 后置勾子,返回处理后的内容
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res_post, usage, is_ai = self.get_ai_post(res, author_id, answer_id, param)
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@@ -175,7 +179,7 @@ GPT-3 A set of models that can understand and generate natural language
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# 后置勾子,返回处理后的内容
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res_post, usage, is_ai = self.get_ai_post(res, author_id, answer_id, param)
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return res
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def get_ai_post(self, res, author_id=False, answer_id=False, param=None):
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# hook,高级版要替代
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if param is None:
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@@ -202,14 +206,14 @@ GPT-3 A set of models that can understand and generate natural language
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except Exception as e:
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_logger.error('==========app_chatgpt get_ai_post Error: %s' % e)
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return res, False, False
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def get_ai_system(self, content=None):
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# 获取基础ai角色设定, role system
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sys_content = content or self.sys_content
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if sys_content:
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return {"role": "system", "content": sys_content}
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return {}
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def get_ai_model_info(self):
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self.ensure_one()
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headers = {"Content-Type": "application/json", "Authorization": f"Bearer {self.openapi_api_key}"}
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@@ -217,7 +221,7 @@ GPT-3 A set of models that can understand and generate natural language
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o_url = "https://api.openai.com/v1/models/%s" % self.ai_model
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if self.endpoint:
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o_url = self.endpoint.replace("/chat/completions", "") + "/models/%s" % self.ai_model
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response = requests.get(o_url, headers=headers, timeout=R_TIMEOUT)
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response.close()
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if response:
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@@ -259,7 +263,7 @@ GPT-3 A set of models that can understand and generate natural language
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frequency_penalty = param.get('frequency_penalty') if param.get('frequency_penalty') else self.frequency_penalty
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presence_penalty = param.get('presence_penalty') if param.get('presence_penalty') else self.presence_penalty
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request_timeout = param.get('request_timeout') if param.get('request_timeout') else self.ai_timeout
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if self.stop:
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stop = self.stop.split(',')
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else:
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@@ -299,7 +303,7 @@ GPT-3 A set of models that can understand and generate natural language
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return res
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else:
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_logger.warning('=====================openai output data: %s' % response.json())
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return _("Response Timeout, please speak again.")
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def get_azure(self, data, author_id, answer_id, param={}):
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@@ -307,10 +311,10 @@ GPT-3 A set of models that can understand and generate natural language
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# only for azure
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if not self.endpoint:
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raise UserError(_("Please Set your AI robot's endpoint first."))
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if not self.api_version:
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raise UserError(_("Please Set your AI robot's API Version first."))
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if self.stop:
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stop = self.stop.split(',')
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else:
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@@ -334,7 +338,7 @@ GPT-3 A set of models that can understand and generate natural language
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if sys_content:
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messages.insert(0, sys_content)
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# 暂时不变
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client = AzureOpenAI(
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api_version=self.api_version,
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azure_endpoint=self.endpoint,
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@@ -366,7 +370,7 @@ GPT-3 A set of models that can understand and generate natural language
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self.endpoint = 'https://api.openai.com/v1/chat/completions'
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elif self.provider == 'azure':
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self.endpoint = 'https://odoo.openai.azure.com'
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if self.provider:
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# 取头像
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module_path = modules.get_module_path('app_chatgpt', display_warning=False)
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@@ -375,7 +379,7 @@ GPT-3 A set of models that can understand and generate natural language
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if path:
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image_file = tools.file_open(path, 'rb')
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self.image_avatar = base64.b64encode(image_file.read())
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@api.onchange('set_ai_model')
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def _onchange_set_ai_model(self):
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if self.set_ai_model:
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@@ -241,7 +241,7 @@ class Channel(models.Model):
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if hasattr(ai, 'is_translator') and ai.is_translator and ai.ai_model == 'translator':
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return rdata
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chatgpt_channel_id = self.env.ref('app_chatgpt.channel_chatgpt')
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if message.body == _('<div class="o_mail_notification">joined the channel</div>'):
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msg = _("Please warmly welcome our new partner %s and send him the best wishes.") % message.author_id.name
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else:
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@@ -277,7 +277,7 @@ class Channel(models.Model):
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chat_count = 1
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else:
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chat_count = chat_count
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if author_id != answer_id.id and self.channel_type == 'chat':
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# 私聊
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_logger.info(f'私聊:author_id:{author_id},partner_chatgpt.id:{answer_id.id}')
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@@ -291,24 +291,53 @@ class Channel(models.Model):
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channel = self.env[msg_vals.get('model')].browse(msg_vals.get('res_id'))
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if hasattr(channel, 'is_private') and channel.description:
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messages.append({"role": "system", "content": channel.description})
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try:
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# 处理提示词
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sys_content = '%s%s' % (channel.description if channel.description else "", add_sys_content if add_sys_content else "")
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if len(sys_content):
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messages.append({"role": "system", "content": sys_content})
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c_history = self.get_openai_context(channel.id, author_id, answer_id, openapi_context_timeout, chat_count)
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if c_history:
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messages += c_history
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messages.append({"role": "user", "content": msg})
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if message.attachment_ids:
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attachment = message.attachment_ids[:1]
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file_content = ai.get_msg_file_content(message)
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if not file_content:
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messages.append({"role": "user", "content": msg})
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if attachment.mimetype in ['image/jpeg', 'image/png', 'image/gif', 'image/bmp', 'image/webp']:
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messages.append({
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"role": "user",
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"content": [
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{
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"type": "image_url",
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"image_url": {
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"url": file_content,
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},
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},
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{
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"type": "text",
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"text": msg
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}
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]
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})
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else:
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messages.append({"role": "system", "content": file_content})
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messages.append({"role": "user", "content": msg})
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else:
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messages.append({"role": "user", "content": msg})
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msg_len = sum(len(str(m)) for m in messages)
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# 接口最大接收 8430 Token
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if msg_len * 2 > ai.max_send_char:
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messages = []
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if hasattr(channel, 'is_private') and channel.description:
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messages.append({"role": "system", "content": channel.description})
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messages.append({"role": "user", "content": msg})
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msg_len = sum(len(str(m)) for m in messages)
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if msg_len * 2 > ai.max_send_char:
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new_msg = channel.with_user(user_id).message_post(body=_('您所发送的提示词已超长。'), message_type='comment',
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subtype_xmlid='mail.mt_comment',
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parent_id=message.id)
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# if msg_len * 2 > ai.max_send_char:
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# messages = []
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# if hasattr(channel, 'is_private') and channel.description:
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# messages.append({"role": "system", "content": channel.description})
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# messages.append({"role": "user", "content": msg})
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# msg_len = sum(len(str(m)) for m in messages)
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# if msg_len * 2 > ai.max_send_char:
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# new_msg = channel.with_user(user_id).message_post(body=_('您所发送的提示词已超长。'), message_type='comment',
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# subtype_xmlid='mail.mt_comment',
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# parent_id=message.id)
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# if msg_len * 2 >= 8000:
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# messages = [{"role": "user", "content": msg}]
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@@ -11,7 +11,7 @@
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</div>
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<img class="oe_demo oe_screenshot img img-fluid" src="demo02.jpg">
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</div>
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<h3>Latest update: v17.25.02.10</h3>
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<h3>Latest update: v17.25.02.11</h3>
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<div class="row">
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<img class="oe_demo oe_screenshot img img-fluid" style="max-height: 100%;" src="banner.png">
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</div>
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@@ -53,7 +53,7 @@
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'data': [
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'data/ai_robot_data.xml',
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'data/user_partner_data.xml',
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'data/mail_channel_data.xml',
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'data/discuss_channel_data.xml',
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'views/ai_robot_views.xml',
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],
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'assets': {
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