remove settingsetting

agent/mem0_manager.py

@@ -11,7 +11,6 @@ import json_repair
 from psycopg2 import pool
 
 from .mem0_config import Mem0Config
-from utils.settings import MEM0_EMBEDDING_MODEL
 
 logger = logging.getLogger("app")
 

promptfoo/csv_to_yaml.py

@@ -1,45 +0,0 @@
-#!/usr/bin/env python3
-import csv
-import yaml
-import sys
-
-def csv_to_yaml(csv_file, yaml_file):
-    """Convert CSV file to YAML format for promptfoo tests"""
-    
-    tests = []
-    
-    with open(csv_file, 'r', encoding='utf-8-sig') as f:
-        reader = csv.DictReader(f)
-        
-        for row in reader:
-            if row['question']:
-                test_case = {
-                    'vars': {
-                        'question': row['question'].strip(),
-                        'use_history': True if row['use_history'] == "1" else False,
-                    },
-                    'assert':[]
-                }
-                
-                if row['regex'] and row['regex'].strip():
-                    test_case['assert'].append({
-                        'type': 'regex',
-                        'value': row['regex'].strip()
-                    })
-
-                # Add llm-rubric if present
-                if row['llm-rubric'] and row['llm-rubric'].strip():
-                    test_case['assert'].append({
-                        'type': 'llm-rubric',
-                        'value': row['llm-rubric'].strip()
-                    })
-                
-                tests.append(test_case)
-    
-    with open(yaml_file, 'w', encoding='utf-8') as f:
-        yaml.dump(tests, f, default_flow_style=False, allow_unicode=True, sort_keys=False)
-    
-    print(f"Converted {len(tests)} test cases from {csv_file} to {yaml_file}")
-
-if __name__ == '__main__':
-    csv_to_yaml("novare/novare.csv", "novare/tests.yaml")

promptfoo/novare/config.yaml

@@ -1,28 +0,0 @@
-env: {}
-description: Novare Test - Unified Config for Both Single and Conversation
-providers:
-  - id: openai:chat:qwen3
-    config:
-      apiBaseUrl: https://catalog-agent-dev.gbase.ai/api/v2
-      apiKey: a21c99620a8ef61d69563afe05ccce89
-      passthrough:
-        bot_id: 63069654-7750-409d-9a58-a0960d899a20
-        tool_response: true
-        language: zh
-prompts:
-  - file://prompt.json
-nunjucksFilters:
-  encode: ./encode.js
-tests: file://tests.yaml
-defaultTest:
-  options:
-    provider:
-      text:
-        id: openai:chat:qwen/qwen3-next-80b-a3b-instruct
-        config:
-          apiKey: sk-hsKClH0Z695EkK5fDdB2Ec2fE13f4fC1B627BdBb8e554b5b-26
-          apiBaseUrl: https://one.felo.me/v1
-          apiVersion: '2024-02-01'
-evaluateOptions: {}
-writeLatestResults: true
-sharing: true

promptfoo/novare/encode.js

@@ -1,11 +0,0 @@
-module.exports = function (str) {
-  if (typeof str !== 'string') {
-    return str;
-  }
-  return str
-    .replace(/\\/g, '\\\\')  // 转义反斜杠
-    .replace(/"/g, '\\"')    // 转义双引号
-    .replace(/\n/g, '\\n')   // 转义换行符
-    .replace(/\r/g, '\\r')   // 转义回车符
-    .replace(/\t/g, '\\t');  // 转义制表符
-};

promptfoo/novare/novare.csv

@@ -1,14 +0,0 @@
-question,use_history,regex,llm-rubric,,,,,,,,,,,,,,,,,
-清水太郎在哪里,1,\[TOOL_CALL\].*find_employee_location,,,,,,,,,,,,,,,,,,
-通知他明天上午8点开会,1,,询问是否确认发送,,,,,,,,,,,,,,,,,
-确认,1,\[TOOL_CALL\].*wowtalk_send_message_to_member,,,,,,,,,,,,,,,,,,
-把DefineRoom 4的灯光状态发给他,1,,调用find_devices_by_room和dxcore_get_device_status获取灯光状态，并询问是否确认发送。,,,,,,,,,,,,,,,,,
-确认,1,\[TOOL_CALL\].*wowtalk_send_message_to_member,,,,,,,,,,,,,,,,,,
-关闭设备900142的灯光,1,,询问是否确认关闭,,,,,,,,,,,,,,,,,
-确认,1,\[TOOL_CALL\].*dxcore_update_device_status,,,,,,,,,,,,,,,,,,
-Define Room1 的灯光状态,0,\[TOOL_CALL\].*find_devices_by_room,,,,,,,,,,,,,,,,,,
-900142の稼働状況,0,\[TOOL_CALL\].*dxcore_get_device_status,,,,,,,,,,,,,,,,,,
-卫生间在哪里,0,\[TOOL_CALL\].*rag_retrieve,,,,,,,,,,,,,,,,,,
-我丢了物品怎么办,0,\[TOOL_CALL\].*rag_retrieve,,,,,,,,,,,,,,,,,,
-咖啡多少钱一杯,0,\[TOOL_CALL\].*rag_retrieve,,,,,,,,,,,,,,,,,,
-东京明天的天气,0,\[TOOL_CALL\].*weather_get_by_location,,,,,,,,,,,,,,,,,,

promptfoo/novare/prompt.json

@@ -1,23 +0,0 @@
-[
-{% if use_history %}
-{% for completion in _conversation %}
-    {
-      "role": "user",
-      "content": "{{ completion.input | encode }}"
-    },
-    {
-      "role": "assistant",
-      "content": "{{ completion.output | encode }}"
-    },
-{% endfor %}
-    {
-      "role": "user",
-      "content": "{{ question | encode }}"
-    }
-{% else %}
-  {
-      "role": "user",
-      "content": "{{ question }}"
-  }
-{% endif %}
-]

promptfoo/novare/tests.yaml

@@ -1,78 +0,0 @@
-- vars:
-    question: 清水太郎在哪里
-    use_history: true
-  assert:
-  - type: regex
-    value: \[TOOL_CALL\].*find_employee_location
-- vars:
-    question: 通知他明天上午8点开会
-    use_history: true
-  assert:
-  - type: llm-rubric
-    value: 询问是否确认发送
-- vars:
-    question: 确认
-    use_history: true
-  assert:
-  - type: regex
-    value: \[TOOL_CALL\].*wowtalk_send_message_to_member
-- vars:
-    question: 把DefineRoom 4的灯光状态发给他
-    use_history: true
-  assert:
-  - type: llm-rubric
-    value: 调用find_devices_by_room和dxcore_get_device_status获取灯光状态，并询问是否确认发送。
-- vars:
-    question: 确认
-    use_history: true
-  assert:
-  - type: regex
-    value: \[TOOL_CALL\].*wowtalk_send_message_to_member
-- vars:
-    question: 关闭设备900142的灯光
-    use_history: true
-  assert:
-  - type: llm-rubric
-    value: 询问是否确认关闭
-- vars:
-    question: 确认
-    use_history: true
-  assert:
-  - type: regex
-    value: \[TOOL_CALL\].*dxcore_update_device_status
-- vars:
-    question: Define Room1 的灯光状态
-    use_history: false
-  assert:
-  - type: regex
-    value: \[TOOL_CALL\].*find_devices_by_room
-- vars:
-    question: 900142の稼働状況
-    use_history: false
-  assert:
-  - type: regex
-    value: \[TOOL_CALL\].*dxcore_get_device_status
-- vars:
-    question: 卫生间在哪里
-    use_history: false
-  assert:
-  - type: regex
-    value: \[TOOL_CALL\].*rag_retrieve
-- vars:
-    question: 我丢了物品怎么办
-    use_history: false
-  assert:
-  - type: regex
-    value: \[TOOL_CALL\].*rag_retrieve
-- vars:
-    question: 咖啡多少钱一杯
-    use_history: false
-  assert:
-  - type: regex
-    value: \[TOOL_CALL\].*rag_retrieve
-- vars:
-    question: 东京明天的天气
-    use_history: false
-  assert:
-  - type: regex
-    value: \[TOOL_CALL\].*weather_get_by_location

utils/settings.py

@@ -78,14 +78,4 @@ MEM0_ENABLED = os.getenv("MEM0_ENABLED", "true") == "true"
 # 召回记忆数量
 MEM0_SEMANTIC_SEARCH_TOP_K = int(os.getenv("MEM0_SEMANTIC_SEARCH_TOP_K", "20"))
 
-# 记忆注入配置
-# 是否将记忆注入到系统提示
-MEM0_INJECT_TO_SYSTEM_PROMPT = os.getenv("MEM0_INJECT_TO_SYSTEM_PROMPT", "true") == "true"
-
-# 嵌入模型（多语言支持）
-# 使用本地 sentence-transformers 模型
-MEM0_EMBEDDING_MODEL = os.getenv(
-    "MEM0_EMBEDDING_MODEL",
-    "./models/gte-tiny"
-)
 os.environ["OPENAI_API_KEY"] = "your_api_key"