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253168a187
* 修复Azure 不设置Max token的bug * 重写agent 1. 修改Agent实现方式，支持多参数，仅剩 ChatGLM3-6b和 OpenAI GPT4 支持，剩余模型将在暂时缺席Agent功能 2. 删除agent_chat 集成到llm_chat中 3. 重写大部分工具，适应新Agent * 更新架构 * 删除web_chat,自动融合 * 移除所有聊天，都变成Agent控制 * 更新配置文件 * 更新配置模板和提示词 * 更改参数选择bug
389 lines
13 KiB
Plaintext
389 lines
13 KiB
Plaintext
import os
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MODEL_ROOT_PATH = ""
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EMBEDDING_MODEL = "bge-large-zh-v1.5" # bge-large-zh
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EMBEDDING_DEVICE = "auto"
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# 选用的reranker模型
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RERANKER_MODEL = "bge-reranker-large"
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# 是否启用reranker模型
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USE_RERANKER = False
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RERANKER_MAX_LENGTH = 1024
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# 如果需要在 EMBEDDING_MODEL 中增加自定义的关键字时配置
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EMBEDDING_KEYWORD_FILE = "keywords.txt"
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EMBEDDING_MODEL_OUTPUT_PATH = "output"
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LLM_MODEL_CONFIG = {
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# 意图识别不需要输出，模型后台知道就行
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"preprocess_model": {
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"zhipu-api": {
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"temperature": 0.4,
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"max_tokens": 2048,
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"history_len": 100,
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"prompt_name": "default",
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"callbacks": False
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},
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},
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"llm_model": {
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"chatglm3-6b": {
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"temperature": 0.9,
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"max_tokens": 4096,
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"history_len": 3,
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"prompt_name": "default",
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"callbacks": True
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},
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"zhipu-api": {
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"temperature": 0.9,
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"max_tokens": 4000,
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"history_len": 5,
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"prompt_name": "default",
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"callbacks": True
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},
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"Qwen-1_8B-Chat": {
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"temperature": 0.4,
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"max_tokens": 2048,
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"history_len": 100,
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"prompt_name": "default",
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"callbacks": False
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},
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},
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"action_model": {
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"chatglm3-6b": {
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"temperature": 0.01,
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"max_tokens": 4096,
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"prompt_name": "ChatGLM3",
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"callbacks": True
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},
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"zhipu-api": {
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"temperature": 0.01,
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"max_tokens": 2096,
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"history_len": 5,
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"prompt_name": "ChatGLM3",
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"callbacks": True
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},
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},
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"postprocess_model": {
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"chatglm3-6b": {
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"temperature": 0.01,
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"max_tokens": 4096,
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"prompt_name": "default",
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"callbacks": True
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}
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},
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}
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TOOL_CONFIG = {
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"search_local_knowledgebase": {
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"use": True,
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"top_k": 10,
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"score_threshold": 1,
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"conclude_prompt": {
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"with_result":
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'<指令>根据已知信息，简洁和专业的来回答问题。如果无法从中得到答案，请说 "根据已知信息无法回答该问题"，'
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'不允许在答案中添加编造成分，答案请使用中文。 </指令>\n'
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'<已知信息>{{ context }}</已知信息>\n'
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'<问题>{{ question }}</问题>\n',
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"without_result":
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'请你根据我的提问回答我的问题:\n'
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'{{ question }}\n'
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'请注意，你必须在回答结束后强调，你的回答是根据你的经验回答而不是参考资料回答的。\n',
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}
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},
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"search_internet": {
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"use": True,
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"search_engine_name": "bing",
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"search_engine_config":
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{
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"bing": {
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"result_len": 3,
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"bing_search_url": "https://api.bing.microsoft.com/v7.0/search",
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"bing_key": "",
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},
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"metaphor": {
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"result_len": 3,
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"metaphor_api_key": "",
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"split_result": False,
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"chunk_size": 500,
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"chunk_overlap": 0,
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},
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"duckduckgo": {
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"result_len": 3
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}
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},
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"top_k": 10,
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"verbose": "Origin",
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"conclude_prompt":
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"<指令>这是搜索到的互联网信息，请你根据这些信息进行提取并有调理，简洁的回答问题。如果无法从中得到答案，请说 “无法搜索到能回答问题的内容”。 "
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"</指令>\n<已知信息>{{ context }}</已知信息>\n"
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"<问题>\n"
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"{{ question }}\n"
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"</问题>\n"
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},
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"arxiv": {
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"use": True,
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},
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"shell": {
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"use": True,
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},
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"weather_check": {
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"use": True,
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"api-key": "",
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},
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"search_youtube": {
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"use": False,
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},
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"wolfram": {
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"use": False,
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},
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"calculate": {
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"use": False,
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},
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}
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# LLM 模型运行设备。设为"auto"会自动检测(会有警告)，也可手动设定为 "cuda","mps","cpu","xpu" 其中之一。
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LLM_DEVICE = "auto"
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ONLINE_LLM_MODEL = {
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"openai-api": {
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"model_name": "gpt-4-1106-preview",
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"api_base_url": "https://api.openai.com/v1",
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"api_key": "",
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"openai_proxy": "",
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},
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"zhipu-api": {
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"api_key": "",
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"version": "chatglm_turbo",
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"provider": "ChatGLMWorker",
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},
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"minimax-api": {
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"group_id": "",
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"api_key": "",
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"is_pro": False,
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"provider": "MiniMaxWorker",
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},
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"xinghuo-api": {
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"APPID": "",
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"APISecret": "",
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"api_key": "",
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"version": "v3.0",
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"provider": "XingHuoWorker",
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},
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"qianfan-api": {
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"version": "ernie-bot-4",
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"version_url": "",
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"api_key": "",
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"secret_key": "",
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"provider": "QianFanWorker",
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},
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"fangzhou-api": {
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"version": "chatglm-6b-model",
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"version_url": "",
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"api_key": "",
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"secret_key": "",
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"provider": "FangZhouWorker",
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},
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"qwen-api": {
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"version": "qwen-max",
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"api_key": "",
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"provider": "QwenWorker",
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"embed_model": "text-embedding-v1" # embedding 模型名称
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},
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"baichuan-api": {
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"version": "Baichuan2-53B",
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"api_key": "",
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"secret_key": "",
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"provider": "BaiChuanWorker",
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},
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"azure-api": {
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"deployment_name": "",
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"resource_name": "",
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"api_version": "2023-07-01-preview",
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"api_key": "",
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"provider": "AzureWorker",
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},
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# 昆仑万维天工 API https://model-platform.tiangong.cn/
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"tiangong-api": {
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"version": "SkyChat-MegaVerse",
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"api_key": "",
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"secret_key": "",
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"provider": "TianGongWorker",
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},
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# Gemini API https://makersuite.google.com/app/apikey
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"gemini-api": {
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"api_key": "",
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"provider": "GeminiWorker",
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}
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}
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# 在以下字典中修改属性值，以指定本地embedding模型存储位置。支持3种设置方法：
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# 1、将对应的值修改为模型绝对路径
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# 2、不修改此处的值（以 text2vec 为例）：
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# 2.1 如果{MODEL_ROOT_PATH}下存在如下任一子目录：
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# - text2vec
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# - GanymedeNil/text2vec-large-chinese
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# - text2vec-large-chinese
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# 2.2 如果以上本地路径不存在，则使用huggingface模型
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MODEL_PATH = {
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"embed_model": {
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"ernie-tiny": "nghuyong/ernie-3.0-nano-zh",
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"ernie-base": "nghuyong/ernie-3.0-base-zh",
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"text2vec-base": "shibing624/text2vec-base-chinese",
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"text2vec": "GanymedeNil/text2vec-large-chinese",
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"text2vec-paraphrase": "shibing624/text2vec-base-chinese-paraphrase",
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"text2vec-sentence": "shibing624/text2vec-base-chinese-sentence",
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"text2vec-multilingual": "shibing624/text2vec-base-multilingual",
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"text2vec-bge-large-chinese": "shibing624/text2vec-bge-large-chinese",
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"m3e-small": "moka-ai/m3e-small",
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"m3e-base": "moka-ai/m3e-base",
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"m3e-large": "moka-ai/m3e-large",
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"bge-small-zh": "BAAI/bge-small-zh",
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"bge-base-zh": "BAAI/bge-base-zh",
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"bge-large-zh": "/media/zr/Data/Models/Embedding/bge-large-zh",
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"bge-large-zh-noinstruct": "BAAI/bge-large-zh-noinstruct",
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"bge-base-zh-v1.5": "BAAI/bge-base-zh-v1.5",
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"bge-large-zh-v1.5": "/Models/bge-large-zh-v1.5",
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"piccolo-base-zh": "sensenova/piccolo-base-zh",
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"piccolo-large-zh": "sensenova/piccolo-large-zh",
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"nlp_gte_sentence-embedding_chinese-large": "/Models/nlp_gte_sentence-embedding_chinese-large",
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"text-embedding-ada-002": "Just write your OpenAI key like "sk-o3IGBhC9g8AiFvTGWVKsT*****" ",
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},
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"llm_model": {
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"chatglm2-6b": "THUDM/chatglm2-6b",
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"chatglm2-6b-32k": "THUDM/chatglm2-6b-32k",
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"chatglm3-6b": "/Models/chatglm3-6b",
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"chatglm3-6b-32k": "THUDM/chatglm3-6b-32k",
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"Yi-34B-Chat": "/data/share/models/Yi-34B-Chat",
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"BlueLM-7B-Chat": "/Models/BlueLM-7B-Chat",
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"baichuan2-13b": "/media/zr/Data/Models/LLM/Baichuan2-13B-Chat",
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"baichuan2-7b": "/media/zr/Data/Models/LLM/Baichuan2-7B-Chat",
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"baichuan-7b": "baichuan-inc/Baichuan-7B",
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"baichuan-13b": "baichuan-inc/Baichuan-13B",
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'baichuan-13b-chat': 'baichuan-inc/Baichuan-13B-Chat',
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"aquila-7b": "BAAI/Aquila-7B",
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"aquilachat-7b": "BAAI/AquilaChat-7B",
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"internlm-7b": "internlm/internlm-7b",
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"internlm-chat-7b": "internlm/internlm-chat-7b",
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"internlm2-chat-7b": "internlm/internlm2-chat-7b",
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"internlm2-chat-20b": "internlm/internlm2-chat-20b",
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"BlueLM-7B-Chat": "vivo-ai/BlueLM-7B-Chat",
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"BlueLM-7B-Chat-32k": "vivo-ai/BlueLM-7B-Chat-32k",
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"Yi-34B-Chat": "https://huggingface.co/01-ai/Yi-34B-Chat",
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"agentlm-7b": "THUDM/agentlm-7b",
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"agentlm-13b": "THUDM/agentlm-13b",
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"agentlm-70b": "THUDM/agentlm-70b",
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"falcon-7b": "tiiuae/falcon-7b",
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"falcon-40b": "tiiuae/falcon-40b",
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"falcon-rw-7b": "tiiuae/falcon-rw-7b",
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"aquila-7b": "BAAI/Aquila-7B",
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"aquilachat-7b": "BAAI/AquilaChat-7B",
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"open_llama_13b": "openlm-research/open_llama_13b",
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"vicuna-13b-v1.5": "lmsys/vicuna-13b-v1.5",
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"koala": "young-geng/koala",
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"mpt-7b": "mosaicml/mpt-7b",
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"mpt-7b-storywriter": "mosaicml/mpt-7b-storywriter",
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"mpt-30b": "mosaicml/mpt-30b",
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"opt-66b": "facebook/opt-66b",
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"opt-iml-max-30b": "facebook/opt-iml-max-30b",
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"gpt2": "gpt2",
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"gpt2-xl": "gpt2-xl",
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"gpt-j-6b": "EleutherAI/gpt-j-6b",
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"gpt4all-j": "nomic-ai/gpt4all-j",
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"gpt-neox-20b": "EleutherAI/gpt-neox-20b",
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"pythia-12b": "EleutherAI/pythia-12b",
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"oasst-sft-4-pythia-12b-epoch-3.5": "OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5",
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"dolly-v2-12b": "databricks/dolly-v2-12b",
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"stablelm-tuned-alpha-7b": "stabilityai/stablelm-tuned-alpha-7b",
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"Llama-2-13b-hf": "meta-llama/Llama-2-13b-hf",
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"Llama-2-70b-hf": "meta-llama/Llama-2-70b-hf",
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"open_llama_13b": "openlm-research/open_llama_13b",
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"vicuna-13b-v1.3": "lmsys/vicuna-13b-v1.3",
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"koala": "young-geng/koala",
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"mpt-7b": "mosaicml/mpt-7b",
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"mpt-7b-storywriter": "mosaicml/mpt-7b-storywriter",
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"mpt-30b": "mosaicml/mpt-30b",
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"opt-66b": "facebook/opt-66b",
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"opt-iml-max-30b": "facebook/opt-iml-max-30b",
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"Qwen-1_8B-Chat":"Qwen/Qwen-1_8B-Chat"
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"Qwen-7B": "Qwen/Qwen-7B",
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"Qwen-14B": "Qwen/Qwen-14B",
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"Qwen-7B-Chat": "Qwen/Qwen-7B-Chat",
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"Qwen-14B-Chat": "Qwen/Qwen-14B-Chat",
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"Qwen-14B-Chat-Int8": "Qwen/Qwen-14B-Chat-Int8", # 确保已经安装了auto-gptq optimum flash-attn
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"Qwen-14B-Chat-Int4": "/media/zr/Data/Models/LLM/Qwen-14B-Chat-Int4", # 确保已经安装了auto-gptq optimum flash-attn
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},
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NLTK_DATA_PATH = os.path.join(os.path.dirname(os.path.dirname(__file__)), "nltk_data")
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# 使用VLLM可能导致模型推理能力下降，无法完成Agent任务
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VLLM_MODEL_DICT = {
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"aquila-7b": "BAAI/Aquila-7B",
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"aquilachat-7b": "BAAI/AquilaChat-7B",
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"baichuan-7b": "baichuan-inc/Baichuan-7B",
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"baichuan-13b": "baichuan-inc/Baichuan-13B",
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'baichuan-13b-chat': 'baichuan-inc/Baichuan-13B-Chat',
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'chatglm2-6b': 'THUDM/chatglm2-6b',
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'chatglm2-6b-32k': 'THUDM/chatglm2-6b-32k',
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'chatglm3-6b': 'THUDM/chatglm3-6b',
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'chatglm3-6b-32k': 'THUDM/chatglm3-6b-32k',
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"internlm-7b": "internlm/internlm-7b",
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"internlm-chat-7b": "internlm/internlm-chat-7b",
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"internlm2-chat-7b": "internlm/Models/internlm2-chat-7b",
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"internlm2-chat-20b": "internlm/Models/internlm2-chat-20b",
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"aquila-7b": "BAAI/Aquila-7B",
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"aquilachat-7b": "BAAI/AquilaChat-7B",
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"falcon-7b": "tiiuae/falcon-7b",
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"falcon-40b": "tiiuae/falcon-40b",
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"falcon-rw-7b": "tiiuae/falcon-rw-7b",
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"gpt2": "gpt2",
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"gpt2-xl": "gpt2-xl",
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"gpt-j-6b": "EleutherAI/gpt-j-6b",
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"gpt4all-j": "nomic-ai/gpt4all-j",
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"gpt-neox-20b": "EleutherAI/gpt-neox-20b",
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"pythia-12b": "EleutherAI/pythia-12b",
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"oasst-sft-4-pythia-12b-epoch-3.5": "OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5",
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"dolly-v2-12b": "databricks/dolly-v2-12b",
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"stablelm-tuned-alpha-7b": "stabilityai/stablelm-tuned-alpha-7b",
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"open_llama_13b": "openlm-research/open_llama_13b",
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"vicuna-13b-v1.3": "lmsys/vicuna-13b-v1.3",
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"koala": "young-geng/koala",
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"mpt-7b": "mosaicml/mpt-7b",
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"mpt-7b-storywriter": "mosaicml/mpt-7b-storywriter",
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"mpt-30b": "mosaicml/mpt-30b",
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"opt-66b": "facebook/opt-66b",
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"opt-iml-max-30b": "facebook/opt-iml-max-30b",
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"Qwen-7B": "Qwen/Qwen-7B",
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"Qwen-14B": "Qwen/Qwen-14B",
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"Qwen-7B-Chat": "Qwen/Qwen-7B-Chat",
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"Qwen-14B-Chat": "Qwen/Qwen-14B-Chat",
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"agentlm-7b": "THUDM/agentlm-7b",
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"agentlm-13b": "THUDM/agentlm-13b",
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"agentlm-70b": "THUDM/agentlm-70b",
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}
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