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fix #I80ZKT app_ai_ali通义千问对接
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@@ -204,15 +204,24 @@ GPT-3 A set of models that can understand and generate natural language
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# azure 格式
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# azure 格式
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usage = json.loads(json.dumps(res['usage']))
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usage = json.loads(json.dumps(res['usage']))
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content = json.loads(json.dumps(res['choices'][0]['message']['content']))
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content = json.loads(json.dumps(res['choices'][0]['message']['content']))
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elif self.provider == 'ali':
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# ali 格式
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usage = res['usage']
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content = res['output']['text']
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else:
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else:
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usage = False
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usage = False
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content = res
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content = res
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data = content.replace(' .', '.').strip()
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data = content.replace(' .', '.').strip()
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answer_user = answer_id.mapped('user_ids')[:1]
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answer_user = answer_id.mapped('user_ids')[:1]
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if usage:
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if usage:
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prompt_tokens = usage['prompt_tokens']
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if self.provider == 'ali':
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completion_tokens = usage['completion_tokens']
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prompt_tokens = usage['input_tokens']
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total_tokens = usage['total_tokens']
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completion_tokens = usage['output_tokens']
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total_tokens = usage['input_tokens'] + usage['output_tokens']
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else:
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prompt_tokens = usage['prompt_tokens']
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completion_tokens = usage['completion_tokens']
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total_tokens = usage['total_tokens']
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# 不是写到 user ,是要写到指定 m2m 相关模型, 如: res.partner.ai.use
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# 不是写到 user ,是要写到指定 m2m 相关模型, 如: res.partner.ai.use
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ai_use = self.env['res.partner.ai.use'].search([('name', '=', author_id.id)], limit=1)
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ai_use = self.env['res.partner.ai.use'].search([('name', '=', author_id.id)], limit=1)
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ask_date = fields.Datetime.now()
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ask_date = fields.Datetime.now()
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@@ -152,9 +152,14 @@ class Channel(models.Model):
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res = res.replace('\n', '<br/>')
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res = res.replace('\n', '<br/>')
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new_msg = channel.with_user(user_id).message_post(body=res, message_type='comment', subtype_xmlid='mail.mt_comment', parent_id=message.id)
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new_msg = channel.with_user(user_id).message_post(body=res, message_type='comment', subtype_xmlid='mail.mt_comment', parent_id=message.id)
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if usage:
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if usage:
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prompt_tokens = usage['prompt_tokens']
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if ai.provider == 'ali':
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completion_tokens = usage['completion_tokens']
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prompt_tokens = usage['input_tokens']
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total_tokens = usage['total_tokens']
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completion_tokens = usage['output_tokens']
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total_tokens = usage['input_tokens'] + usage['output_tokens']
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else:
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prompt_tokens = usage['prompt_tokens']
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completion_tokens = usage['completion_tokens']
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total_tokens = usage['total_tokens']
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new_msg.write({
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new_msg.write({
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'human_prompt_tokens': prompt_tokens,
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'human_prompt_tokens': prompt_tokens,
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'ai_completion_tokens': completion_tokens,
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'ai_completion_tokens': completion_tokens,
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